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Curr. Issues Mol. Biol., Volume 45, Issue 2 (February 2023) – 63 articles

Cover Story (view full-size image): Red wine polyphenols include ones present in grapes as well as new polyphenols formed during the winemaking process. In red wine, the most important groups, and their representatives, are flavanols (catechin), stilbenes (trans-resveratrol), flavonols (quercetin), anthocyanins (malvidin-3-O-glucoside), and hydroxybenzoic acids (gallic acid). Many in vitro and in vivo studies have been conducted on the evaluation of the health effects of red wine polyphenols on cancer chemopreventive activities, neuroprotective effects, and their impact on cardiovascular diseases or gut microbiota in humans. In assessing the positive results of these studies, it can be concluded that there is high potential in the polyphenols of red wine; however, how to employ this potential in the most efficient way must be considered. View this paper
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15 pages, 1756 KiB  
Article
Peroxiredoxins and Hypoxia-Inducible Factor-1α in Duodenal Tissue: Emerging Factors in the Pathophysiology of Pediatric Celiac Disease Patients
by Fadime Aydın Köse, Aysun Pabuccuoglu, Miray Karakoyun and Sema Aydogdu
Curr. Issues Mol. Biol. 2023, 45(2), 1779-1793; https://doi.org/10.3390/cimb45020114 - 20 Feb 2023
Cited by 2 | Viewed by 2360
Abstract
Celiac disease (CD) is an autoimmune enteropathy. Peroxiredoxins (PRDXs) are powerful antioxidant enzymes having an important role in significant cellular pathways including cell survival, apoptosis, and inflammation. This study aimed at investigating the expression levels of all PRDX isoforms (1–6) and their possible [...] Read more.
Celiac disease (CD) is an autoimmune enteropathy. Peroxiredoxins (PRDXs) are powerful antioxidant enzymes having an important role in significant cellular pathways including cell survival, apoptosis, and inflammation. This study aimed at investigating the expression levels of all PRDX isoforms (1–6) and their possible relationships with a transcription factor, HIF-1α, in the small intestinal tissue samples of pediatric CD patients. The study groups consisted of first-diagnosed CD patients (n = 7) and non-CD patients with functional gastrointestinal tract disorders as the controls (n = 7). The PRDXs and HIF-1α expression levels were determined by using real-time PCR and Western blotting in duodenal biopsy samples. It was observed that the mRNA and protein expression levels of PRDX 5 were significantly higher in the CD patients, whereas the PRDX 1, -2, and -4 expressions were decreased in each case compared to the control group. No significant differences were detected in the PRDX 3 and PRDX 6 expressions. The expression of HIF-1α was also significantly elevated in CD patients. These findings indicate, for the first time, that PRDXs, particularly PRDX 5, may play a significant role in the pathogenesis of CD. Furthermore, our results suggest that HIF-1α may upregulate PRDX-5 transcription in the duodenal tissue of CD. Full article
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Figure 1
<p>Protein expression levels of tTG and inflammatory proteins in the duodenal tissue of children with CD and the control group. (<b>a</b>) Protein expression of tTG, iNOS, p-NF-κB, and TNF-α were determined by WB analysis and quantified by densitometric analysis. Relative densitometric values of the (<b>b</b>) tTG protein expression; (<b>c</b>) iNOS protein expression; (<b>d</b>) p-NF-κB p65 protein expression; and (<b>e</b>) TNF-α protein expression levels. The β-actin signal was used to normalize the data, which were then expressed in arbitrary densitometric units. Data were expressed as mean ± SEM (<span class="html-italic">n</span> = 3). * <span class="html-italic">p</span> &lt; 0.05 versus the control group (CD: celiac disease group).</p>
Full article ">Figure 2
<p>Apoptotic cell death-related cleaved caspase-3 and p53 protein expression levels in the duodenal tissue of pediatric CD patients. (<b>a</b>) Protein expression of cleaved caspase-3 and p53 were determined by WB analysis and quantified by densitometric analysis. Relative densitometric values of the (<b>b</b>) p53 protein expression and (<b>c</b>) cleaved caspase-3 protein expression levels. The β-actin signal was used to normalize the data, which were then expressed in arbitrary densitometric units. Data were expressed as mean ± SEM (<span class="html-italic">n</span> = 3). * <span class="html-italic">p</span> &lt; 0.05 versus the control group (CD: celiac disease group).</p>
Full article ">Figure 3
<p>The relative protein and mRNA expression levels of HIF-1α in the duodenal tissue. (<b>a</b>) Protein expression of HIF-1α were determined by WB analysis. (<b>b</b>) Relative values of HIF-1α were quantified by densitometric analysis. The β-actin signal was used to normalize the data. Data were expressed as the mean ± SEM (<span class="html-italic">n</span> = 3). (<b>c</b>) The relative mRNA expressions were calculated with the 2<sup>−ΔΔCT</sup> method and normalized to GAPDH (<span class="html-italic">n</span> = 7/7). Data were expressed as the mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05 versus the control group (CD: celiac disease group).</p>
Full article ">Figure 4
<p>Comparative graph of the relative PRDX (1–6) mRNA expression values. Data were expressed as the mean ± SEM (<span class="html-italic">n</span> = 7/7). * <span class="html-italic">p</span> &lt; 0.05 versus the control group (CD: celiac disease group).</p>
Full article ">Figure 5
<p>The protein expression levels of the PRDX isoforms in the duodenal biopsy samples. (<b>a</b>) Protein expression levels of PRDX -1, -2, -3, -4, -5, and -6 were determined by WB analysis. (<b>b</b>) Relative densitometric values of the protein expression levels of the PRDX isoforms. The β-actin signal was used to normalize the data, which were then expressed in arbitrary densitometric units. Data were expressed as the mean ± SEM (<span class="html-italic">n</span> = 3). * <span class="html-italic">p</span> &lt; 0.05 versus the control group.</p>
Full article ">
17 pages, 808 KiB  
Review
Neurobiology and Applications of Inositol in Psychiatry: A Narrative Review
by Carmen Concerto, Cecilia Chiarenza, Antonio Di Francesco, Antimo Natale, Ivan Privitera, Alessandro Rodolico, Antonio Trovato, Andrea Aguglia, Francesco Fisicaro, Manuela Pennisi, Rita Bella, Antonino Petralia, Maria Salvina Signorelli and Giuseppe Lanza
Curr. Issues Mol. Biol. 2023, 45(2), 1762-1778; https://doi.org/10.3390/cimb45020113 - 20 Feb 2023
Cited by 14 | Viewed by 16367
Abstract
Inositol is a natural sugar-like compound, commonly present in many plants and foods. It is involved in several biochemical pathways, most of them controlling vital cellular mechanisms, such as cell development, signaling and nuclear processes, metabolic and endocrine modulation, cell growth, signal transduction, [...] Read more.
Inositol is a natural sugar-like compound, commonly present in many plants and foods. It is involved in several biochemical pathways, most of them controlling vital cellular mechanisms, such as cell development, signaling and nuclear processes, metabolic and endocrine modulation, cell growth, signal transduction, etc. In this narrative review, we focused on the role of inositol in human brain physiology and pathology, with the aim of providing an update on both potential applications and current limits in its use in psychiatric disorders. Overall, imaging and biomolecular studies have shown the role of inositol levels in the pathogenesis of mood disorders. However, when administered as monotherapy or in addition to conventional drugs, inositol did not seem to influence clinical outcomes in both mood and psychotic disorders. Conversely, more encouraging results have emerged for the treatment of panic disorders. We concluded that, despite its multifaceted neurobiological activities and some positive findings, to date, data on the efficacy of inositol in the treatment of psychiatric disorders are still controversial, partly due to the heterogeneity of supporting studies. Therefore, systematic use of inositol in routine clinical practice cannot be recommended yet, although further basic and translational research should be encouraged. Full article
(This article belongs to the Special Issue Food-Derived Bioactive Compounds in Health and Disease)
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<p>Different roles of inositol and inositol-containing molecules in human physiology. Free-form inositols, such as Myo-inositol and D-chiro-inositol, act as osmolytes to ensure adequate cellular defense against external and/or metabolic stressors. Phosphoglycans are involved in glycosyl-phosphatidylinositol/inositol phosphoglycans pathway as second messengers, regulating different cellular pathways, including insulin sensitization and cellular proliferation regulation. As phosphoinositide, inositol plays a role in phospholipase transduction, which is the signal transduction pathway of many neurotransmitter receptors. The cleavage of phosphoinositide by phospholipase activation can also release arachidonic acid, which can be subsequently converted into many inflammation mediators. M1, M3, M5: acetylcholine ionotropic receptors; H1: histamine ionotropic receptor; α1: norepinephrine ionotropic receptor; 5HT2: serotonin ionotropic receptor; mGlu1: glutamate metabotropic receptor; ↑: increase.</p>
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21 pages, 11399 KiB  
Article
Vaccine- and Breakthrough Infection-Elicited Pre-Omicron Immunity More Effectively Neutralizes Omicron BA.1, BA.2, BA.4 and BA.5 Than Pre-Omicron Infection Alone
by Eveline Santos da Silva, Jean-Yves Servais, Michel Kohnen, Victor Arendt, Georges Gilson, Therese Staub, Carole Seguin-Devaux and Danielle Perez-Bercoff
Curr. Issues Mol. Biol. 2023, 45(2), 1741-1761; https://doi.org/10.3390/cimb45020112 - 19 Feb 2023
Cited by 3 | Viewed by 2271
Abstract
Since the emergence of SARS-CoV-2 Omicron BA.1 and BA.2, several Omicron sublineages have emerged, supplanting their predecessors. Here we compared the neutralization of Omicron sublineages BA.1, BA.2, BA.4 and BA.5 by human sera collected from individuals who were infected with the ancestral B.1 [...] Read more.
Since the emergence of SARS-CoV-2 Omicron BA.1 and BA.2, several Omicron sublineages have emerged, supplanting their predecessors. Here we compared the neutralization of Omicron sublineages BA.1, BA.2, BA.4 and BA.5 by human sera collected from individuals who were infected with the ancestral B.1 (D614G) strain, who were vaccinated (3 doses) or with breakthrough infection with pre-Omicron strains (Gamma or Delta). All Omicron sublineages exhibited extensive escape from all sera when compared to the ancestral B.1 strain and to Delta, albeit to different levels depending on the origin of the sera. Convalescent sera were unable to neutralize BA.1, and partly neutralized BA.2, BA.4 and BA.5. Vaccinee sera partly neutralized BA.2, but BA.1, BA.4 and BA.5 evaded neutralizing antibodies (NAb). Some breakthrough infections (BTI) sera were non-neutralizing. Neutralizing BTI sera had similar neutralizing ability against all Omicron sublineages. Despite similar levels of anti-Spike and anti-Receptor Binding Domain (RBD) antibodies in all groups, BTI sera had the highest cross-neutralizing ability against all Omicron sublineages and convalescent sera were the least neutralizing. Antibody avidity inferred from the NT50:antibody titer ratio was highest in sera from BTI patients, underscoring qualitative differences in antibodies elicited by infection or vaccination. Together, these findings highlight the importance of vaccination to trigger highly cross-reactive antibodies that neutralize phylogenetically and antigenically distant strains, and suggest that immune imprinting by first generation vaccines may restrict, but not abolish, cross-neutralization. Full article
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<p>Neutralizing activity of pre-VOC unvaccinated SARS-CoV-2-infected convalescent sera against ancestral B.1, Delta and Omicron BA.1, BA.2, BA.4 and BA.5. (<bold>A</bold>) Comparison of NT50 between all strains. The infecting strain is indicated on the <italic>x</italic>-axis and with color codes: blue circles = B.1, purple triangles = Delta, gold hexagons = Omicron BA.1, pink hexagons = Omicron BA.2, orange hexagons = Omicron BA.4 and burgundy hexagons = Omicron BA.5. This color code is used throughout the figure and manuscript. The dotted line represents the 1:40 serum dilution cut-off. Sera which did not neutralize SARS-CoV-2 at the 1:40 dilution were considered non-neutralizing. The proportion of non-neutralizing sera is indicated above each data set. (<bold>B</bold>) NT50 for a subset of sera assessed using Luciferase-tagged HIV-1-Δ<italic>env</italic>Δ<italic>nef</italic>-Spike pseudotypes. All infections were performed in triplicate. (<bold>C</bold>) Correlation of NT50 between the tested strains. The Spearman correlation coefficient (r) is indicated in each panel. (<bold>D</bold>) NT50 of convalescent sera from patients with mild/asymptomatic (green), moderate (orange) or severe/critical (red) forms of COVID-19 against B.1, Delta, Omicron BA.1, BA.2, BA.4 and BA.5. (<bold>E</bold>) Anti-Spike, anti-RBD and anti-NTD antibody levels in convalescent sera. Antibody levels against Spike (purple), the Receptor Binding Domain (RBD) (pink) or the N-terminal domain (NTD) (blue) of Spike were measured in convalescent sera using the MSD V-plex platform for SARS-CoV-2. Antibody levels are reported as arbitrary units. (<bold>F</bold>) Ratios of NT50 to anti-S, (left panel), anti-RBD (middle panel) and anti-NTD (right panel) antibody levels. A Kruskal–Wallis test followed by a Dunn’s multiple comparison post-hoc test was used for comparisons between three or more groups (panels A-B, D-F). <italic>p</italic>-values &lt; 0.05 were considered significant. *: <italic>p</italic> &lt; 0.05; **: <italic>p</italic> &lt; 0.01; ***: <italic>p</italic> &lt; 0.001.</p>
Full article ">Figure 2
<p>Neutralizing activity of sera from triple-vaccinated individuals against ancestral B.1, Delta and Omicron BA.1, BA.2, BA.4 and BA.5. (<bold>A</bold>) Comparison of NT50 between all strains. The infecting strain is indicated on the <italic>x</italic>-axis and with color codes: blue open circles = B.1, purple open triangles = Delta, gold open hexagons = Omicron BA.1, pink open hexagons = Omicron BA.2, orange open hexagons = Omicron BA.4 and burgundy open hexagons = Omicron BA.5. The dotted line represents the 1:40 serum dilution cut-off. Sera which did not neutralize SARS-CoV-2 at the 1:40 dilution were considered non-neutralizing. The proportion of non-neutralizing sera is indicated above each data set. (<bold>B</bold>) Correlation of NT50 between the tested strains. The Spearman correlation coefficient (r) is indicated in each panel. (<bold>C</bold>) NT50 for a subset of sera assessed using Luciferase-tagged HIV-1-Δ<italic>env</italic>Δ<italic>nef</italic>-Spike pseudotypes. All infections were performed in triplicate. (<bold>D</bold>) Anti-Spike, anti-RBD and anti-NTD antibody levels in vaccinee sera. Antibody levels against Spike (purple), the Receptor Binding Domain (RBD) (pink) or the N-terminal domain (NTD) (blue) of Spike were measured in vaccinee sera using the MSD V-plex platform for SARS-CoV-2. Antibody levels are reported as arbitrary units. (<bold>E</bold>) Ratios of NT50 to anti-S, (left panel), anti-RBD (middle panel) and anti-NTD (right panel) antibody levels. A Friedman test followed by a Dunn’s multiple comparison post-hoc test was used for comparisons between three or more groups (panels (<bold>A</bold>,<bold>C</bold>–<bold>E</bold>)). <italic>p</italic>-values &lt; 0.05 were considered significant. *: <italic>p</italic> &lt; 0.05; **: <italic>p</italic> &lt; 0.01; ***: <italic>p</italic> &lt; 0.001.</p>
Full article ">Figure 3
<p>Neutralizing activity against ancestral B.1, Delta and Omicron BA.1, BA.2, BA.4 and BA.5 of sera from vaccinated individuals (2 doses) with Delta or Gamma breakthrough infection (BTI). (<bold>A</bold>) Comparison of NT50 between all strains. The infecting strain is indicated on the <italic>x</italic>-axis and with color codes: partially filled blue circles = B.1, partially filled purple triangles = Delta, partially filled gold hexagons = Omicron BA.1, partially filled pink hexagons = Omicron BA.2, partially filled orange hexagons = Omicron BA.4 and partially filled burgundy open hexagons = Omicron BA.5. Gamma-BTI are identified with green symbols in all panels. This color code is used throughout the figure. The dotted line represents the 1:40 serum dilution cut-off. Sera which did not neutralize SARS-CoV-2 at the 1:40 dilution were considered non-neutralizing. The proportion of non-neutralizing sera is indicated above each data set. (<bold>B</bold>) Correlation of NT50 between the tested strains. The Spearman correlation coefficient (r) is indicated in panel. (<bold>C</bold>) Anti-Spike, anti-RBD and anti-NTD antibody levels in BTI sera. Antibody levels against Spike (purple), the Receptor Binding Domain (RBD) (pink) or the N-terminal domain (NTD) (blue) of Spike were measured in vaccinee sera using the MSD V-plex platform for SARS-CoV-2. Antibody levels are reported as arbitrary units. (<bold>D</bold>) Ratios of NT50 to anti-S, (left panel), anti-RBD (middle panel) and anti-NTD (right panel) antibody levels. A Kruskal–Wallis test followed by a Dunn’s multiple comparison post-hoc test was used for comparisons between three or more groups (panels <bold>A</bold>,<bold>C</bold>,<bold>D</bold>). <italic>p</italic>-values &lt; 0.05 were considered significant. *: <italic>p</italic> &lt; 0.05; **: <italic>p</italic> &lt; 0.01; ***: <italic>p</italic> &lt; 0.001.</p>
Full article ">Figure 4
<p>Comparison of neutralizing activities of convalescent, vaccinee and BTI sera against B.1, Delta and Omicron BA.1, BA.2, BA.4 and BA.5. (<bold>A</bold>) Comparison of NT50s from convalescent, vaccinee and BTI sera for B.1, Delta, Omicron BA.1, BA.2, BA.4 and BA.5. NT50 of convalescent, vaccinee and BTI sera were compared for each strain. The infecting strain is indicated above each panel. The dotted line represents the 1:40 serum dilution cut-off. Sera which did not neutralize SARS-CoV-2 at the 1:40 dilution were considered non-neutralizing. (<bold>B</bold>) Comparison of antibodies against the Nucleocapsid (N), Spike (S), RBD and NTD in convalescent, vaccinee and BTI sera. For BTI sera, the Gamma-BTI are represented with black circles and the Delta-BTI are represented in purple for anti-S antibodies, pink for anti-RBD antibodies, blue for anti-NTD antibodies and green for anti-N antibodies. Anti-N and anti-S antibodies were also estimated with the Euroimmun assay for BTI and only 3 BTI sera had anti-N antibodies. The grey dotted lines in the panels for anti-S and anti-N antibody levels mark the threshold between anti-S and anti-N-positive and negative sera based on the Euroimmun assay. (<bold>C</bold>) Comparison of the NT50:antibody level ratios for convalescent, vaccinee and BTI sera. The NT50:anti-S, NT50:anti-RBD and NT50:anti-NTD ratios for convalescent, vaccinee and BTI sera against each strain are compared. The infecting strain is indicated above each group of panels. For BTI sera, the Gamma-BTI are represented with green symbols. For all analyses, differences between groups were compared using a Kruskal–Wallis test followed by a Dunn’s multiple comparison post-hoc test. <italic>p</italic>-values &lt; 0.05 were considered significant. *: <italic>p</italic> &lt; 0.05; **: <italic>p</italic> &lt; 0.01; ***: <italic>p</italic> &lt; 0.001.</p>
Full article ">
21 pages, 4517 KiB  
Article
Quantification of the Diversity in Gene Structures Using the Principles of Polarization Mapping
by Dmitry Zimnyakov, Marina Alonova, Anatoly Skripal, Sergey Dobdin and Valentina Feodorova
Curr. Issues Mol. Biol. 2023, 45(2), 1720-1740; https://doi.org/10.3390/cimb45020111 - 18 Feb 2023
Cited by 4 | Viewed by 1851
Abstract
Results of computational analysis and visualization of differences in gene structures using polarization coding are presented. A two-dimensional phase screen, where each element of which corresponds to a specific basic nucleotide (adenine, cytosine, guanine, or thymine), displays the analyzed nucleotide sequence. Readout of [...] Read more.
Results of computational analysis and visualization of differences in gene structures using polarization coding are presented. A two-dimensional phase screen, where each element of which corresponds to a specific basic nucleotide (adenine, cytosine, guanine, or thymine), displays the analyzed nucleotide sequence. Readout of the screen with a coherent beam characterized by a given polarization state forms a diffracted light field with a local polarization structure that is unique for the analyzed nucleotide sequence. This unique structure is described by spatial distributions of local values of the Stokes vector components. Analysis of these distributions allows the comparison of nucleotide sequences for different strains of pathogenic microorganisms and frequency analysis of the sequences. The possibilities of this polarization-based technique are illustrated by the model data obtained from a comparative analysis of the spike protein gene sequences for three different model variants (Wuhan, Delta, and Omicron) of the SARS-CoV-2 virus. Various modifications of polarization encoding and analysis of gene structures and a possibility for instrumental implementation of the proposed method are discussed. Full article
(This article belongs to the Section Bioinformatics and Systems Biology)
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Figure 1
<p>The scheme of speckle polarization mapping of a nucleotide sequence. 1—continuous-wave laser source; 2—telescopic system with a pinhole as a beam cleaner and expander; 3—aperture diaphragm; 4—gene-based spatial light modulator; 5—Fourier-transforming lens; 6—polarimetric unit; 7—output plane. A four-color presentation is used to display the principle of the content-to-phase transformation; the color saturation corresponds to the content of the given nucleotide in a coded triplet. White light indicates the absence of the given nucleotide.</p>
Full article ">Figure 2
<p>Effect of detailing the logarithmic intensity distribution <math display="inline"><semantics> <mrow> <mi mathvariant="normal">l</mi> <mi mathvariant="normal">g</mi> <mo>(</mo> <msubsup> <mi>s</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>m</mi> </mrow> <mn>0</mn> </msubsup> <mo>)</mo> </mrow> </semantics></math> of the diffracted light in plane 7 (<a href="#cimb-45-00111-f001" class="html-fig">Figure 1</a>) with a decrease in the scale factor <math display="inline"><semantics> <mrow> <msub> <mi>K</mi> <mrow> <mi>s</mi> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math> (the results of computer simulation for the model spike gene of the SARS-CoV-2 Wuhan strain). (<b>a</b>) <math display="inline"><semantics> <mrow> <msub> <mi>K</mi> <mrow> <mi>s</mi> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math> = 0.5; (<b>b</b>) <math display="inline"><semantics> <mrow> <msub> <mi>K</mi> <mrow> <mi>s</mi> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math> = 0.1; (<b>c</b>) <math display="inline"><semantics> <mrow> <msub> <mi>K</mi> <mrow> <mi>s</mi> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math> = 0.02.</p>
Full article ">Figure 2 Cont.
<p>Effect of detailing the logarithmic intensity distribution <math display="inline"><semantics> <mrow> <mi mathvariant="normal">l</mi> <mi mathvariant="normal">g</mi> <mo>(</mo> <msubsup> <mi>s</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>m</mi> </mrow> <mn>0</mn> </msubsup> <mo>)</mo> </mrow> </semantics></math> of the diffracted light in plane 7 (<a href="#cimb-45-00111-f001" class="html-fig">Figure 1</a>) with a decrease in the scale factor <math display="inline"><semantics> <mrow> <msub> <mi>K</mi> <mrow> <mi>s</mi> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math> (the results of computer simulation for the model spike gene of the SARS-CoV-2 Wuhan strain). (<b>a</b>) <math display="inline"><semantics> <mrow> <msub> <mi>K</mi> <mrow> <mi>s</mi> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math> = 0.5; (<b>b</b>) <math display="inline"><semantics> <mrow> <msub> <mi>K</mi> <mrow> <mi>s</mi> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math> = 0.1; (<b>c</b>) <math display="inline"><semantics> <mrow> <msub> <mi>K</mi> <mrow> <mi>s</mi> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math> = 0.02.</p>
Full article ">Figure 3
<p>Color maps of the local polarization states in the modeled diffraction pattern for the nucleotide sequence of the model spike gene of the SARS-CoV-2 Wuhan strain. The scale factor <math display="inline"><semantics> <mrow> <msub> <mi>K</mi> <mrow> <mi>s</mi> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math> is equal to 0.1. (<b>a</b>) <math display="inline"><semantics> <mrow> <mi>lg</mi> <mrow> <mo>(</mo> <mrow> <msubsup> <mi>s</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>m</mi> </mrow> <mn>0</mn> </msubsup> </mrow> <mo>)</mo> </mrow> </mrow> </semantics></math>; (<b>b</b>) <math display="inline"><semantics> <mrow> <msubsup> <mi>s</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>m</mi> </mrow> <mn>1</mn> </msubsup> </mrow> </semantics></math>; (<b>c</b>) <math display="inline"><semantics> <mrow> <msubsup> <mi>s</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>m</mi> </mrow> <mn>2</mn> </msubsup> </mrow> </semantics></math>; (<b>d</b>) <math display="inline"><semantics> <mrow> <msubsup> <mi>s</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>m</mi> </mrow> <mn>3</mn> </msubsup> </mrow> </semantics></math>.</p>
Full article ">Figure 4
<p>Binary distribution <math display="inline"><semantics> <mrow> <msubsup> <mover accent="true"> <mi>s</mi> <mo>˜</mo> </mover> <mrow> <mi>k</mi> <mo>,</mo> <mi>m</mi> </mrow> <mn>3</mn> </msubsup> </mrow> </semantics></math> for the nucleotide sequence of the model spike gene of the SARS-CoV-2 Wuhan strain. The discrimination threshold <math display="inline"><semantics> <mrow> <msubsup> <mi>s</mi> <mrow> <mi>t</mi> <mi>h</mi> </mrow> <mn>3</mn> </msubsup> </mrow> </semantics></math> is −0.99 and the scale factor is 0.5.</p>
Full article ">Figure 5
<p>(<b>a</b>) Correlation coefficients of the binary maps of the third and fourth components of the Stokes vector against the number of substitutions in the reference sequence of the nucleotides. The sequence of the SARS-CoV-2 spike gene for the model Wuhan variant is applied as a reference item. Associations: 1, 3, 4—the fourth component of the Stokes vector; 2, 5, 6—the third component. 1, 2–pairs “reference/changed sequence”; 3, 5—“Wuhan/Delta” correlation; 4, 6—“Wuhan/Omicron” correlation. (<b>b</b>) Superposition of the binary maps <math display="inline"><semantics> <mrow> <mrow> <mo>(</mo> <mrow> <msubsup> <mover accent="true"> <mi>s</mi> <mo>˜</mo> </mover> <mrow> <mi>k</mi> <mo>,</mo> <mi>m</mi> </mrow> <mn>3</mn> </msubsup> </mrow> <mo>)</mo> </mrow> </mrow> </semantics></math> for the Wuhan and Omicron variants. The scale factor <math display="inline"><semantics> <mrow> <msub> <mi>K</mi> <mrow> <mi>s</mi> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math> is equal to 0.5.</p>
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<p>Color maps of local polarization states in the paraxial region of the modeled diffraction pattern for the nucleotide sequence of the spike gene of the SARS-CoV-2 Wuhan variant. The case is of only-retardation modulation. The scale factor <math display="inline"><semantics> <mrow> <msub> <mi>K</mi> <mrow> <mi>s</mi> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math> is equal to 0.01. (<b>a</b>) <math display="inline"><semantics> <mrow> <mi>lg</mi> <mrow> <mo>(</mo> <mrow> <msubsup> <mi>s</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>m</mi> </mrow> <mn>0</mn> </msubsup> </mrow> <mo>)</mo> </mrow> </mrow> </semantics></math>; (<b>b</b>) <math display="inline"><semantics> <mrow> <msubsup> <mi>s</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>m</mi> </mrow> <mn>1</mn> </msubsup> </mrow> </semantics></math>; (<b>c</b>) <math display="inline"><semantics> <mrow> <msubsup> <mi>s</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>m</mi> </mrow> <mn>2</mn> </msubsup> </mrow> </semantics></math>; (<b>d</b>) <math display="inline"><semantics> <mrow> <msubsup> <mi>s</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>m</mi> </mrow> <mn>3</mn> </msubsup> </mrow> </semantics></math>.</p>
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<p>(<b>a</b>) The binary map of the near-axis local polarization states selected using the rule (20) for the nucleotide sequence of the spike gene of the SARS-CoV-2 Wuhan variant; (<b>b</b>) the result of superposition of the near-axis binary maps for the Wuhan variant and the relevant nucleotide sequence of the spike gene of the SARS-CoV-2 Omicron variant. The scale factor <math display="inline"><semantics> <mrow> <msub> <mi>K</mi> <mrow> <mi>s</mi> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math> is equal to 0.01.</p>
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<p>Model values of the correlation coefficient <math display="inline"><semantics> <mrow> <mrow> <mo>〈</mo> <mrow> <msub> <mi>R</mi> <mrow> <mn>1</mn> <mo>,</mo> <mn>2</mn> </mrow> </msub> </mrow> <mo>〉</mo> </mrow> </mrow> </semantics></math> against the number of substitutions (1) and correlation coefficients for the nucleotide sequence of the “Wuhan–Delta” (2) and “Wuhan–Omicron” (3) pairs. The case of the near-axis readout of the local polarization states and application of the discrimination rule (20) is considered.</p>
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8 pages, 3834 KiB  
Case Report
Recurrent PIK3CA H1047R-Mutated Congenital Infiltrative Facial Lipomatosis: A Case Report and Review of Literature
by Kei Shing Oh, Hisham F. Bahmad, Kalin Veselinov Stoyanov, Ibrahim H. Amjad and Carole Brathwaite
Curr. Issues Mol. Biol. 2023, 45(2), 1712-1719; https://doi.org/10.3390/cimb45020110 - 17 Feb 2023
Cited by 4 | Viewed by 2143
Abstract
Congenital infiltrating lipomatosis of the face (CILF) is a rare, congenital, nonhereditary facial overgrowth due to post-zygomatic activating mutations in PIK3CA gene. It is unilateral and involves hypertrophy of both the soft and hard tissue structures on the affected side of the face. [...] Read more.
Congenital infiltrating lipomatosis of the face (CILF) is a rare, congenital, nonhereditary facial overgrowth due to post-zygomatic activating mutations in PIK3CA gene. It is unilateral and involves hypertrophy of both the soft and hard tissue structures on the affected side of the face. This commonly results in early eruption of the teeth, hypertrophy of the facial bones, macroglossia, and proliferation of the parotid gland. Less than 80 cases of CILF have been reported in the literature so far. Treatment modalities include liposuction and surgical excision. However, since the hallmark of CILF is mutation in the PIK3CA gene, PI3K inhibitors may play a therapeutic role in CILF. We report a case of an 8-year-old boy with recurrent CILF of the scalp and nose, with PIK3CA H1047R mutation. We discuss the differential diagnoses, clinical outcomes, and management of this rare entity. Full article
(This article belongs to the Special Issue Linking Genomic Changes with Cancer in the NGS Era)
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<p>Ill-defined soft tissue mass in the patient’s forehead showing local extension to the scalp and inferiorly to the nose bridge and right lateral aspect of the nose.</p>
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<p>Sagittal T1 magnetic resonance image showing heterogenous lobulated fat in the high frontal scalp.</p>
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<p>Microscopic images showing that the mass predominantly consisted of mature adipose tissue with thin and thick, irregular fibrous septae (Hematoxylin &amp; eosin, 100×).</p>
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19 pages, 4294 KiB  
Article
Genome-Wide Identification and Expression Analysis of Calmodulin-Like Gene Family in Paspalums vaginatium Revealed Their Role in Response to Salt and Cold Stress
by Meizhen Yang, Jingjin Chen, Tingting Liu, Leilei Xiang and Biao-Feng Zhou
Curr. Issues Mol. Biol. 2023, 45(2), 1693-1711; https://doi.org/10.3390/cimb45020109 - 16 Feb 2023
Cited by 7 | Viewed by 2122
Abstract
The calmodulin-like (CML) family is an important calcium (Ca2+) sensor in plants and plays a pivotal role in the response to abiotic and biotic stresses. As one of the most salt-tolerant grass species, Paspalums vaginatum is resistant to multiple abiotic stresses, [...] Read more.
The calmodulin-like (CML) family is an important calcium (Ca2+) sensor in plants and plays a pivotal role in the response to abiotic and biotic stresses. As one of the most salt-tolerant grass species, Paspalums vaginatum is resistant to multiple abiotic stresses, such as salt, cold, and drought. However, investigations of PvCML proteins in P. vaginatum have been limited. Based on the recently published P. vaginatum genome, we identified forty-nine PvCMLs and performed a comprehensive bioinformatics analysis of PvCMLs. The main results showed that the PvCMLs were unevenly distributed on all chromosomes and that the expansion of PvCMLs was shaped by tandem and segmental duplications. In addition, cis-acting element analysis, expression profiles, and qRT–PCR analysis revealed that PvCMLs were involved in the response to salt and cold stress. Most interestingly, we found evidence of a tandem gene cluster that independently evolved in P. vaginatum and may participate in cold resistance. In summary, our work provides important insight into how grass species are resistant to abiotic stresses such as salt and cold and could be the basis of further gene function research on CMLs in P. vaginatum. Full article
(This article belongs to the Special Issue Functional Genomics and Comparative Genomics Analysis in Plants)
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<p>Phylogenetic relationship of calmodulin-like (CML) proteins in <span class="html-italic">P. vaginatum</span> (green), <span class="html-italic">A. thaliana</span> (red), and rice (blue). An unrooted tree was built using the NJ method in MEGA with 1000 bootstrap replications. The bootstrap values of each node lower than 30 were not shown.</p>
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<p>The conserved motif composition and gene structure of CMLs proteins in <span class="html-italic">P. vaginatum</span>. (<b>A</b>) phylogenetic relationship of PvCMLs. (<b>B</b>) The conserved EF-hand motifs of PvCMLs. (<b>C</b>) Gene structure of PvCMLs. Pink boxes represent untranslated regions (UTR), green boxes represent coding regions (CDS), and black lines represent introns.</p>
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<p>Chromosomal distribution and synteny analysis in the genomes of <span class="html-italic">P. vaginatum</span>, <span class="html-italic">Oryza sativa</span>, and <span class="html-italic">A. thaliana</span>. (<b>A</b>) Paralogous genes of PvCMLs in <span class="html-italic">P. vaginatum</span>. (<b>B</b>) Orthologous CML genes between <span class="html-italic">P. vaginatum</span> and rice. (<b>C</b>) Orthologous CML genes between <span class="html-italic">P. vaginatum</span> and <span class="html-italic">A. thaliana</span> and between <span class="html-italic">P. vaginatum</span> and rice. Red lines indicate orthologous gene pairs.</p>
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<p>Bar plot of average Ka/Ks ratios for homologous CML gene pairs between rice and <span class="html-italic">P. vaginatum</span>. The different colors indicate eight subfamily groups identified in phylogenetic analysis. The error bar is shown in the figure.</p>
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<p>Prediction of cis-acting elements contained in PvCMLs. Analysis of cis-elements was carried out by the PlantCARE database. The analysis showed the presence of 14 cis-elements. The different colors represent the different numbers of cis-elements, with red indicating a high number of cis-elements, while white represents a low number of cis-elements. Values in the boxes represent the number of cis-regulatory elements.</p>
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<p>Expression pattern of PvCML genes under salt and cold stress conditions. (<b>A</b>). Heatmap of log2–transformed RPKM of PvCML genes after 400 nM NaCl treatment. The colors changing from blue to red indicate the expression level transition from low to high. (<b>B</b>). Volcano plot displaying the differentially expressed genes after salt treatment. The blue dots represent genes differentially expressed (adjusted <span class="html-italic">p</span> &lt; 0.05) in the 400 nM NaCl treatment group vs. the normal control group. The red dots represent PvCMLs. (<b>C</b>). Heatmap of log2–transformed RPKM of PvCML genes after 6 °C cold treatment. The colors changing from blue to red indicate the expression level transition from low to high. (<b>D</b>). Volcano plot displaying the differentially expressed genes after 6 °C cold treatment. The blue dots represent genes differentially expressed (adjusted <span class="html-italic">p</span> &lt; 0.05) in the 6 °C treatment group vs. the normal control group. The red dots represent PvCMLs.</p>
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<p>Gene expression analysis by RT–qPCR for the PvCMLs under salt stress conditions. The four-week-old seashore paspalum cultivars (sea spray) were treated with 200 mM NaCl, and three leaves were collected for each sample at 0 h, 2 h, and 24 h following treatment. Three biological replicates were performed for this analysis. The bar plot indicates the relative mRNA expression of each PvCML gene at each treatment time.</p>
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<p>Gene expression analysis by RT–qPCR for the PvCMLs under cold stress conditions. The four-week-old seashore paspalum cultivars (sea spray) were treated with 4 °C, and three leaves were collected for each sample at 0 h, 2 h, and 24 h following treatment. Three biological replicates were performed for this analysis. The bar plot indicates the relative mRNA expression of each PvCML gene at each treatment time.</p>
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12 pages, 2250 KiB  
Article
Effect of C-Type Natriuretic Peptide (CNP) on Spermatozoa Maturation in Adult Rat Epididymis
by Hu Zhao, Yuejin Yu, Chunlei Mei, Tianyu Zhang, Yafei Kang, Na Li and Donghui Huang
Curr. Issues Mol. Biol. 2023, 45(2), 1681-1692; https://doi.org/10.3390/cimb45020108 - 16 Feb 2023
Cited by 3 | Viewed by 2439
Abstract
C-type natriuretic peptide (CNP) is highly expressed in male reproductive tissues, such as the epididymis. The aim of this study is to explore the role of CNP in the maturation of rat epididymal spermatozoa. First, the expression levels of CNP and its specific [...] Read more.
C-type natriuretic peptide (CNP) is highly expressed in male reproductive tissues, such as the epididymis. The aim of this study is to explore the role of CNP in the maturation of rat epididymal spermatozoa. First, the expression levels of CNP and its specific natriuretic peptide receptor-B (NPR-B) were detected in various tissues of rats and epididymis at different stages after birth. Then a castrated rat model was established to analyze the relationship between testosterone and CNP/NPR-B expression in the epididymis. Finally, CNP and different inhibitors (NPR-B inhibitors, cGMP inhibitors) were used to incubate epididymal sperm in vitro to examine sperm mobility and expression of sperm maturation-related factors. The results showed CNP/NPR-B mRNAs were expressed in all tissues of rats, but were extremely highly expressed in male genital ducts (seminal vesicle, prostate and epididymis). The expression of CNP/NPR-B in epididymis was the highest at birth and the fifth week after birth. In the epididymis, CNP/NPR-B were highly expressed in the caput and located in the epididymal epithelial cells. After castration, the expression of CNP/NPR-B decreased sharply and was restored quickly after testosterone supplementation. In vitro, CNP could significantly promote the acquisition of epididymal sperm motility through the NPR-B/cGMP pathway and induce the expression of sperm maturation-related factors (such as Bin1b, Catsper 1, Dnah17, Fertilin). This study shows that CNP plays a role in epididymal sperm maturation. The mechanism of CNP is to promote the acquisition of epididymal sperm fluidity through the NPR-B/cGMP signaling pathway and also to regulate sperm maturation-related genes. Moreover, the expression of CNP/NPR-B was regulated by testosterone. Full article
(This article belongs to the Special Issue Molecular Research in Reproductive Biology)
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<p>The expression of <span class="html-italic">CNP/NPR-B</span> in rat. (<b>A</b>,<b>B</b>) The expression of <span class="html-italic">CNP</span> (<b>A</b>) and <span class="html-italic">NPR-B</span> (<b>B</b>) mRNA in different rat tissues. (<b>C</b>,<b>D</b>) The expression of <span class="html-italic">CNP</span> (<b>C</b>) and <span class="html-italic">NPR-B</span> (<b>D</b>) mRNA in epididymis at different stages after birth.</p>
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<p>The expression of CNP/NPR-B in the different segments of epididymis. (<b>A</b>) Immunohistochemistry shows the localization of CNP and NPR-B in different segments of the epididymis and prostate. a–c: caput of epididymis; d–f: corpse of epididymis; g–i: cauda of epididymis; j–l: prostate. (<b>B</b>,<b>C</b>) The level of <span class="html-italic">CNP</span> (<b>B</b>) and <span class="html-italic">NPR-B</span> (<b>C</b>) mRNA in different segments of epididymis detected by RT- PCR. (<b>D</b>,<b>E</b>) The content of CNP (<b>D</b>) and cGMP (<b>E</b>) in different segments of epididymal fluid by ELISA. (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.01, NS: not significant).</p>
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<p>The expression of <span class="html-italic">CNP/NPR−B</span> in the castrated rat model. The red line represents the content of testosterone in the serum, while the blue line represents the expression of <span class="html-italic">CNP</span> (<b>A</b>) or <span class="html-italic">NPR−B</span> (<b>B</b>) mRNA in the epididymis.</p>
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<p>The effect of CNP on maturation of the epididymis sperm in vitro. (<b>A</b>) Spermatozoa immunofluorescence in the different segments of the epididymis detected by laser confocal photography (600×). (<b>B</b>) Sperm motilities at different segments of epididymis detected at 0, 2, 4, 6 and 8 h after incubation with CNP. (<b>C</b>) Sperm motility at the caput of the epididymis after incubation with either CNP, 8-Br-cGMP, KT5823, or NPR-B antagonist. (<b>D</b>) Expression of maturation-related genes in the epididymal caput sperm after incubation with CNP for 6 h. (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>The role of CNP in sperm maturation. Testosterone secreted by Leydig cells could promote the expression of CNP/NPR-B in rat epididymal epithelium, especially in the caput. CNP not only promotes the acquisition of epididymal sperm mobility via the NPR-B/cGMP signal pathway but also stimulates sperm mature-related genes (such as Bin1b, Catsper 1, Dnah17), thus playing a role in sperm maturation in epididymis.</p>
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26 pages, 5532 KiB  
Article
Molecular Aspects of Hypoxic Stress Effects in Chronic Ethanol Exposure of Neuronal Cells
by Simona Isabelle Stoica, Gelu Onose, Ioana Madalina Pitica, Ana Iulia Neagu, Gabriela Ion, Lilia Matei, Laura Denisa Dragu, Lacramioara-Elena Radu, Mihaela Chivu-Economescu, Laura Georgiana Necula, Aurelian Anghelescu, Carmen Cristina Diaconu, Constantin Munteanu and Coralia Bleotu
Curr. Issues Mol. Biol. 2023, 45(2), 1655-1680; https://doi.org/10.3390/cimb45020107 - 16 Feb 2023
Cited by 6 | Viewed by 2972
Abstract
Experimental models of a clinical, pathophysiological context are used to understand molecular mechanisms and develop novel therapies. Previous studies revealed better outcomes for spinal cord injury chronic ethanol-consuming patients. This study evaluated cellular and molecular changes in a model mimicking spinal cord injury [...] Read more.
Experimental models of a clinical, pathophysiological context are used to understand molecular mechanisms and develop novel therapies. Previous studies revealed better outcomes for spinal cord injury chronic ethanol-consuming patients. This study evaluated cellular and molecular changes in a model mimicking spinal cord injury (hypoxic stress induced by treatment with deferoxamine or cobalt chloride) in chronic ethanol-consuming patients (ethanol-exposed neural cultures (SK-N-SH)) in order to explain the clinical paradigm of better outcomes for spinal cord injury chronic ethanol-consuming patients. The results show that long-term ethanol exposure has a cytotoxic effect, inducing apoptosis. At 24 h after the induction of hypoxic stress (by deferoxamine or cobalt chloride treatments), reduced ROS in long-term ethanol-exposed SK-N-SH cells was observed, which might be due to an adaptation to stressful conditions. In addition, the HIF-1α protein level was increased after hypoxic treatment of long-term ethanol-exposed cells, inducing fluctuations in its target metabolic enzymes proportionally with treatment intensity. The wound healing assay demonstrated that the cells recovered after stress conditions, showing that the ethanol-exposed cells that passed the acute step had the same proliferation profile as the cells unexposed to ethanol. Deferoxamine-treated cells displayed higher proliferative activity than the control cells in the proliferation–migration assay, emphasizing the neuroprotective effect. Cells have overcome the critical point of the alcohol-induced traumatic impact and adapted to ethanol (a chronic phenomenon), sustaining the regeneration process. However, further experiments are needed to ensure recovery efficiency is more effective in chronic ethanol exposure. Full article
(This article belongs to the Special Issue Molecular Research on Oxidative Stress and Health)
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<p>Phase contrast images, obtained using 10× objective, presenting the morphology (<b>A</b>) and viability (<b>B</b>) of SK-N-SH cells exposed at different ethanol concentrations (<span class="html-italic">p</span>-value &lt; 0.05 was considered statistically significant, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.005).</p>
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<p>The morphology of SK-N-SH cells treated with CoCl<sub>2</sub> or DFX (phase contrast images obtained using 20× objective). The black border shows the region presented on the right (magnified images).</p>
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<p>Quantification of cell viability and ROS release at 6 and 24 h in ethanol-exposed and non-exposed SK-N-SH cells treated with different concentrations of DFX and CoCl<sub>2</sub>. A <span class="html-italic">p</span>-value &lt; 0.05 was considered statistically significant, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.005.</p>
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<p>Heatmap showing the levels of apoptotic gene expression in ethanol-exposed and non-exposed cells treated with hypoxic agents. Each numerical data was graphically represented using warm colors for low-value data points and cool colors representing high-value data points.</p>
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<p>The effects of hypoxia mimetic treatment on apoptosis-related proteins in chronic ethanol-treated SK-N-SH cells. The total protein lysates (400 μg) were subjected to proteome profiler array analysis. (<b>A</b>) Dot-blot image: 1. Bcl-2; 2. Bcl-x; 3. HIF-1α; 4. Claspin; 5. Phospho-p53 (S15); 6. Phospho-p53 (S46); 7. Phospho-p53 (S392); 8. TNF RI/TNFRSF1A. (<b>B</b>) Fold change compared to ethanol-unexposed cells (logarithmic scale). The intensity of each spot was quantified using ImageJ software, and the resulted graph shows fold change of proteins measured after hypoxic treatment relative to untreated ethanol-unexposed control cells.</p>
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<p>The effects of hypoxia mimetic treatment on apoptosis-related proteins in chronic ethanol-treated SK-N-SH cells. The total protein lysates (400 μg) were subjected to proteome profiler array analysis. (<b>A</b>) Dot-blot image: 1. Bcl-2; 2. Bcl-x; 3. HIF-1α; 4. Claspin; 5. Phospho-p53 (S15); 6. Phospho-p53 (S46); 7. Phospho-p53 (S392); 8. TNF RI/TNFRSF1A. (<b>B</b>) Fold change compared to ethanol-unexposed cells (logarithmic scale). The intensity of each spot was quantified using ImageJ software, and the resulted graph shows fold change of proteins measured after hypoxic treatment relative to untreated ethanol-unexposed control cells.</p>
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<p>Heatmap analysis of stress and metabolic gene expression profile induced by DFX and CoCl<sub>2</sub> on ethanol-exposed SK-N-SH cells. Each numerical data was graphically represented using warm colours representing low-value data points and cool colours representing high-value data points.</p>
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<p>The effects of ethanol treatment on the expression of the gene that codes metabolic enzymes.</p>
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<p>The effects of hypoxic treatment on stress-related proteins in long-term ethanol-exposed SK-N-SH cells. The total protein lysates (100 μg) were subjected to the proteome profiler stress array analysis. (<b>A</b>) Dot-blot image: 1. Bcl-2; 2. Carbonic Anhydrase IX (CA9); 3. COX-2; 4. HIF-1α; 5. HIF-2α (EPAS1); 6. Phospho-p53 (S46); 7. PON1; 8. PON3; 9. Phospho-JNK Pan (T183/Y185. (<b>B</b>) Fold change relative to control cells (unexposed to ethanol) (logarithmic scale). The intensity of each spot was quantified using ImageJ software. The resulting graph shows the fold change of proteins measured for hypoxic treatment relative to control cells maintained without ethanol and hypoxic agents.</p>
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<p>The effects of ethanol and hypoxic treatment on the gene expressions involved in pyroptosis and inflammation. Each numerical data was graphically represented using warm colors representing low-value data points and cool colours representing high-value data points.</p>
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<p>Summary data time courses of migration/wound healing of treated and untreated SK-N-SH cells; (<b>A</b>) SK-N-SH cells exposed or non-exposed at EtOH 50 mM for 9 weeks; (<b>B</b>) SK-N-SH cells treated post-wounding with 50 µM, respective 100 µM, DFX or CoCl<sub>2</sub> for 24 h; (<b>C</b>) SK-N-SH cells grown in media with 50 mM EtOH for 9 weeks and treated post-wounding with 50 µM, respective 100 µM, DFX or CoCl<sub>2</sub> for 24 h; (<b>D</b>) SK-N-SH cells grown in media without/with 50 mM EtOH for 9 weeks and treated post-wounding with 50 µM, respective 100 µM, DFX or CoCl<sub>2</sub> for 24 h; (<b>E</b>) Acridine Orange/Propidium Iodide Stain (fluorescence, 10× objective).</p>
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11 pages, 1796 KiB  
Communication
Stability of Dengue 2 Nonstructural Glycoprotein 1 (NS1) Is Affected by the Nature of Basic Residue at Position NS1-324
by Eva Ogire, Chaker El-Kalamouni, Philippe Desprès and Marjolaine Roche
Curr. Issues Mol. Biol. 2023, 45(2), 1644-1654; https://doi.org/10.3390/cimb45020106 - 14 Feb 2023
Cited by 2 | Viewed by 2143
Abstract
Dengue is the most prevalent mosquito-borne viral disease. It is caused by the infection of any of the four dengue virus (DENV) serotypes DENV-1 to DENV-4. The DENV non-structural glycoprotein 1 (NS1) plays an important role in virus replication and the immunopathogenesis of [...] Read more.
Dengue is the most prevalent mosquito-borne viral disease. It is caused by the infection of any of the four dengue virus (DENV) serotypes DENV-1 to DENV-4. The DENV non-structural glycoprotein 1 (NS1) plays an important role in virus replication and the immunopathogenesis of virus infection. The NS1 protein has been identified as both a cell-associated homodimer and a soluble secreted lipoprotein nanoparticle. The nature of the residues at positions NS1-272 and NS1-324 in the β-ladder domain may have an effect on the biological behaviors of DENV-2 NS1 protein in human hepatoma Huh7 cells. The stability of the NS1 protein from the Reunion 2018 DENV-2 strain was affected by the presence of lysine residues at positions 272 and 324. In the present study, we evaluated the impact of mutations into lysine at positions 272 and 324 on recombinant NS1 protein from the DES-14 DENV-2 strain bearing arginine residue on these two positions. The DES-14 NS1 protein mutant bearing a lysine at position 324 was deficient in protein stability and secretion compared to wild-type protein. The defect in the DES-14 NS1 protein mutant was associated to oxidative stress and pro-inflammatory cytokine activation in Huh7 cells. The ubiquitin-proteasome proteolytic pathway might play a key role in the stability of DENV-2 protein bearing a lysine residue at position 324. Full article
(This article belongs to the Collection Feature Papers in Current Issues in Molecular Biology)
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<p>Structural features of DENV-2 NS1 protein. Tridimensional structure prediction of DES-14 NS1 protein (Genbank access number MG189962) and the three mutants DES-14 NS1-(K272, K324), NS1-(K272), and NS1-(K324) was performed by modeling on PHYRE<sup>2</sup> protein recognition server (<a href="http://www.sbg.bio.ic.ac.uk/~phyre2/html/page.cgi?id=index" target="_blank">http://www.sbg.bio.ic.ac.uk/~phyre2/html/page.cgi?id=index</a>; accessed on 23 December 2022). The predicted structures were analyzed with PyMOL 2.5, a program for interactive visualization of tridimensional proteins. The colored dots indicate the positions of residues NS1-272 and NS1-324 in the 3D structure of NS1 protein.</p>
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<p>Effects of amino-acid substitutions R272K and R324K on DENV-2 rNS1 expression. Huh7 cells were transfected for 24 h with plasmids expressing DENV-2 rNS1<sup>wt</sup> or rNS1-(K272), rNS1-(K324), and rNS1-(K272, K324) mutants. In (<b>A</b>), immunoblot assay was performed on non-heated RIPA cell lysates (intracellular proteins) and cell supernatants (extracellular proteins) using anti-NS1 antibody D/2/D6/B7 (anti-NS1 Ab). The intracellular NS1 dimer is indicated as (rNS1)<sub>2</sub>. The β-actin protein served as a protein loading control. The estimated apparent molecular weights of (rNS1)<sub>2</sub> and β-actin are indicated. The basic residues at the positions NS1-272 and NS1-324 are shown at the top. In (<b>B</b>), signal intensity was quantified using ImageJ software to evaluate the amount of rNS1 mutants relative to rNS1<sup>wt</sup>. The results are the mean (± SEM) of 10 (intracellular rNS1) or 4 (secreted rNS1) replicates (open circles). <span class="html-italic">p</span>-values were determined on the comparison of rNS1-(K324) with rNS1-(K272) mutant (**** <span class="html-italic">p</span> &lt; 0.0001; * <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of proteasome inhibition on DENV-2 rNS1 expression. Huh7 cells were transfected for 24 h with plasmids expressing DENV-2 rNS1<sup>wt</sup> or rNS1-(K272), rNS1-(K324), and rNS1-(K272, K324) mutants or mock-transfected (control) in presence (+) or absence of 10 µM of the proteasome inhibitor MG132 in 0.1% DMSO for 6 h. In (<b>A</b>), immunoblot assays were performed on RIPA cell lysates using anti-NS1 antibody. Cell lysates were analyzed before (top) and after (bottom) heat-denaturation in the presence of a reducing agent. The mouse anti-NS1 antibody D/2/D6/B7 (anti-NS1 mAb) was used to detect heat-labile dimer rNS1 which is indicated as (NS1)<sub>2</sub>. The rabbit anti-NS1 antibody PA5-33207 (anti-NS1 pAb) was used to detect monomeric form of rNS1 which is indicated as (rNS1)m. The β-actin protein served as a protein loading control. The estimated apparent molecular weights of (rNS1)<sub>2</sub> and (rNS1)m are indicated. In (<b>B</b>), signal intensity was quantified using ImageJ software to calculate the fold-increase between the amounts of rNS1 expressed with or without MG132 (control). The results are the mean (± SEM) of 3 replicates (open circles). <span class="html-italic">p</span>-values were determined on the comparison of different rNS1 (* <span class="html-italic">p</span> &lt; 0.05; <span class="html-italic">n.s.</span>: not significant).</p>
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<p>ROS production in Huh7 cells expressing the rNS1-(K24) mutant. Huh7 cells were transfected for 24 h with plasmids expressing DENV-2 rNS1<sup>wt</sup>, rNS1-(K272), or rNS1-(K324). In (<b>A</b>), the production of total intracellular reactive oxygen species (ROS) was measured using DCFH-DA dye. Intracellular ROS in samples was expressed as a fold change relative to mock-transfected cells. In (<b>B</b>), antioxidant enzyme superoxide dismutase (SOD-1) mRNA levels were quantified by RT-qPCR. Results are expressed as the fold induction of transcripts in samples relative to those in mock-transfected cells. The results are the mean (± SEM) at least seven (<b>A</b>) and three (<b>B</b>) replicates (open circles). <span class="html-italic">p</span>-values were determined on the comparison of rNS1 mutants versus rNS1<sup>wt</sup> and rNS1-(K324) mutant versus rNS1-(K272) mutant (<span class="html-italic">n.s.</span>: not significant).</p>
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<p>Pro-inflammatory cytokine activation in Huh7 cells expressing the rNS1-(K324) mutant. Huh7 cells were transfected for 24 h with plasmids expressing rNS1<sup>wt</sup> or the rNS1-(K272) and rNS1-(K324) mutants. The IL-1β (<b>A</b>) and IL-6 (<b>B</b>) transcripts were quantified by RT-qPCR. Results are expressed as the fold induction of transcripts in samples relative to those in mock-transfected cells. The results are the mean (± SEM) at least three replicates (open circles). <span class="html-italic">p</span>-values were determined on the comparison of rNS1 mutants versus rNS1<sup>wt</sup>.</p>
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<p>Expression of DES-14 NS1 protein mutant bearing a lysine residue at position 324 (DES-14 NS1-(K324) mutant) is associated to oxidative stress and inflammatory in human hepatoma Huh7 cells.</p>
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17 pages, 40206 KiB  
Article
Possible Mechanisms of the Neuroprotective Actions of Date Palm Fruits Aqueous Extracts against Valproic Acid-Induced Autism in Rats
by Abdelaziz M. Hussein, Seham Ahmed Mahmoud, Khalid Mohammed Elazab, Ahmed F. Abouelnaga, Marwa Abass, Ahmed A. H. Mosa, Mennatullah A. M. Hussein and Mohamed E. G. Elsayed
Curr. Issues Mol. Biol. 2023, 45(2), 1627-1643; https://doi.org/10.3390/cimb45020105 - 14 Feb 2023
Cited by 8 | Viewed by 2818
Abstract
The current study aimed to determine how palm date aqueous fruit extracts (AFE) affected the autistic-like behaviors brought on by valproic acid (VPA) injection, as well as any potential contributions from Sirt-1, oxidative stress, apoptosis, and autophagy. The pregnant Sprague Dawley females were [...] Read more.
The current study aimed to determine how palm date aqueous fruit extracts (AFE) affected the autistic-like behaviors brought on by valproic acid (VPA) injection, as well as any potential contributions from Sirt-1, oxidative stress, apoptosis, and autophagy. The pregnant Sprague Dawley females were treated with VPA at 12.5th gestation day and pregnant females and their offspring were treated with AFE orally at doses of 4 mg/Kg by gastric gavage for 45 days after birth. The elevated plus-T maze, water maze, and rotarod tests were used to examine autism-like behaviors. At the end of the study, the expression of Nrf2, heme oxygenase (HO-1), Sirt-1, caspase-3 (a marker of apoptosis), LC3 (a marker of autophagy), and NFκB (inflammatory cytokines) were evaluated along with the oxidative stress in brain tissues and the histological changes in the cerebellum and hippocampus. The neurobehavioral assessments significantly declined due to VPA, which also significantly increased oxidative stress in the brain tissues and significantly decreased Nrf2 and HO-1 expression. Additionally, VPA administration caused significant increase in the expression of caspase-3 in the cerebellar cortex, not in the hippocampus; LC3 and NFκB in the hippocampus, not in the cerebellar cortex; and significant reduction in the expression of Sirt-1 in the hippocampus, not in the cerebellum. On the other hand, AFE treatment significantly improved the neurobehavioral changes as well as it improved significantly the oxidative stress and the expression of LC3, NFκB, NrF2, HO-1, and Sirt-1 in the cerebellum and hippocampus. Conclusions: AFE administration might improve the autistic-like symptoms induced by VPA in rats via attenuation of the oxidative stress, upregulation of Nrf2 and HO-1, Sirt-1 and LC3 expression with downregulation of caspase-3, and NFκB expression in the cerebellum and hippocampus. Full article
(This article belongs to the Topic Autism: Molecular Bases, Diagnosis and Therapies)
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<p>Effect of AFE on spatial memory and motor coordination evaluated by using the water maze and rotarod tests, respectively. The effect of AFE on the escape latency (secs) at PND21 (<b>A</b>) and PND 45 (<b>B</b>), and the effect of AFE on endurance time at PND21 (<b>C</b>) and PND45 (<b>D</b>). Data are expressed as mean ± SEM. * significant vs. control group, # significant vs. control + AFE group, <span>$</span> significant vs. VPA group. <span class="html-italic">p</span> ≤ 0.05 is considered significant.</p>
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<p>Effect of AFE on anxiety evaluated by using the elevated plus- maze. The effect of AFE on the number of entries on open arms at PND21 (<b>A</b>) and PND 45 (<b>B</b>) and the effect of AFE on time spent (secs) in open arms at PND21 (<b>C</b>) and PND45 (<b>D</b>). Data are expressed as mean ± SEM. * significant vs. control group, # significant vs. control + AFE group, <span>$</span> significant vs. VPA group. <span class="html-italic">p</span> ≤ 0.05 is considered significant.</p>
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<p>Effect of AFE on oxidative stress markers (MDA and catalase) and the expression of antioxidant genes (Nrf2 and HO-1). The effect of AFE on the concentration of MDA (marker of lipid peroxidation) (<b>A</b>), catalase enzyme (antioxidant enzyme) (<b>B</b>), expression of Nrf2 at mRNA (<b>C</b>) and expression of HO-1 at mRNA levels (<b>D</b>). Data are expressed as mean ± SEM. * significant vs. control group, # significant vs. control + AFE group, <span>$</span> significant vs. VPA group. <span class="html-italic">p</span> ≤ 0.05 is considered significant.</p>
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<p>Effect of AFE on morphology of the cerebellum and hippocampus. (<b>A</b>) shows the mean number of Purkinje cells (PC) in the cerebellar cortex in different groups. The cerebellar cortex of the control group (<b>B</b>) consists of three layers; outer molecular layer (ML), middle Purkinje cell layer (PC), and inner granular cell layer (GL). VPA-treated group (<b>C</b>); PC appeared shrunken, disfigured with condensed chromatin (red arrows) and surrounded with vacuolated spaces which became few in number. The ML showed deeply stained pyknotic scattered basket cells and vacuolations. In the VPA + AFE group (<b>D</b>), the number of PC become high (400×, H&amp;E). (<b>E</b>) shows different parts of hippocampus with red arrows indicating CA3 region (40×). (<b>F</b>–<b>H</b>) show CA3 regions in brain from control, VPA, and VPA + AFE groups, respectively (400×). (<b>I</b>) shows different parts of hippocampus with red arrows indicating CA1 region (40×). (<b>J</b>–<b>L</b>) show CA3 regions in brain from control, VPA, and VPA + AFE groups, respectively (400×). The number of Purkinje cells; (<b>D</b>) were dramatically decreased in VPA-treated group; * significant vs. control group, # significant vs. control + AFE group, and <span>$</span> significant vs. VPA group.</p>
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<p>Effect of AFE on the caspase-3 expression in the cerebellum and hippocampus. (<b>A</b>,<b>E</b>,<b>I</b>) show the mean number of caspase-3 positive cells in the Purkinje cells (PC) layer of the cerebellar cortex, CA3 hippocampal region, and CA1 hippocampal region of different groups, respectively. (<b>B</b>–<b>D</b>) show cytoplasmic expression of caspase-3 (red arrows) in the PC of the cerebellar cortex of the control, VPA, and VPA + AFE groups, respectively. (<b>F</b>–<b>H</b>) show negative cytoplasmic expression of caspase-3 in CA3 of the control, VPA, and VPA + AFE groups, respectively. (<b>J</b>–<b>L</b>) show negative cytoplasmic expression of caspase-3 in CA1 of the control, VPA, and VPA + AFE groups, respectively (400×). * significant vs. control group, # significant vs. control + AFE group, and <span>$</span> significant vs. VPA group.</p>
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<p>Effect of AFE on the Sirt-1 expression in the cerebellum and hippocampus. (<b>A</b>,<b>E</b>,<b>I</b>) show the mean number of sirt-1 positive cells in the Purkinje cells (PC) layer of the cerebellar cortex, CA3 hippocampal region, and CA1 hippocampal region of different groups, respectively. (<b>B</b>–<b>D</b>) show negative cytoplasmic expression of sirt-1 in the PC of the cerebellar cortex of the control, VPA, and VPA + AFE groups, respectively. (<b>F</b>–<b>H</b>) show positive cytoplasmic expression (red arrows) of sirt-1 in CA3 of the control (mild to moderate), VPA (minimal), and VPA + AFE groups (marked), respectively. (<b>J</b>–<b>L</b>) show negative cytoplasmic expression of Sirt-1 in CA1 of the control and VPA, and minimal cytoplasmic expression in the VPA + AFE group, respectively (400×). * significant vs. control group, and <span>$</span> significant vs. VPA group.</p>
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<p>Effect of AFE on the LC3 expression in the cerebellum and hippocampus. (<b>A</b>,<b>E</b>,<b>I</b>) show the mean number of LC3-positive cells in the Purkinje cells (PC) layer of the cerebellar cortex, CA3 hippocampal region, and CA1 hippocampal region of different groups, respectively. (<b>B</b>) shows negative cytoplasmic expression of LC3 in the PC of the cerebellar cortex of the control, minimal LC3 expression in the VPA group (<b>C</b>), and moderate expression in the VPA + AFE group (<b>D</b>). (<b>F</b>–<b>H</b>) show positive cytoplasmic expression (red arrows) of LC3 in CA3 of the control group (mild to moderate), VPA group (mild-moderate), and VPA + AFE groups (marked), respectively. (<b>J</b>,<b>K</b>) show minimal cytoplasmic expression of LC3 in CA1 of the control group and VPA group, and (<b>L</b>) moderate cytoplasmic expression in the VPA + AFE groups, respectively (400×). * significant vs. control group, # significant vs. control + AFE group, and <span>$</span> significant vs. VPA group.</p>
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<p>Effect of AFE on the NFκB expression in the cerebellum and hippocampus. (<b>A</b>,<b>E</b>,<b>I</b>) show the mean number of NFκB positive cells in the Purkinje cells (PC) layer of the cerebellar cortex, CA3 hippocampal region, and CA1 hippocampal region of different groups, respectively. (<b>B</b>–<b>D</b>) show negative nuclear and cytoplasmic expression of NFκB in the PC of the cerebellar cortex of the control, VPA group, and VPA + AFE group, respectively. (<b>F</b>–<b>H</b>) show positive nuclear expression (red arrows) of NFκB in CA3 of the control group (minimal), VPA group (mild–moderate), and VPA + AFE groups (minimal), respectively. (<b>J</b>–<b>L</b>) show nuclear expression of NFκB in CA1 of the control group and VPA group, and VPA + AFE groups, respectively (400×). * significant vs. control group, # significant vs. control + AFE group, and <span>$</span> significant vs. VPA group.</p>
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14 pages, 2747 KiB  
Article
Neuroprotective Effects of Geopung-Chunghyuldan Based on Its Salvianolic Acid B Content Using an In Vivo Stroke Model
by Han-Gyul Lee, Seungwon Kwon, Sang-Kwan Moon, Seung-Yeon Cho, Seong-Uk Park, Woo-Sang Jung, Jung-Mi Park, Chang-Nam Ko and Ki-Ho Cho
Curr. Issues Mol. Biol. 2023, 45(2), 1613-1626; https://doi.org/10.3390/cimb45020104 - 13 Feb 2023
Cited by 6 | Viewed by 2407
Abstract
Background: Geopung-Chunghyuldan (GCD) has neuroprotective properties. Salviae miltiorrhizae Radix plays an essential role in GCD’s effect. The Salviae miltiorrhizae Radix marker compound is salvianolic acid B; however, its content is not uniform among samples. This study aimed to evaluate the neuroprotective effects of [...] Read more.
Background: Geopung-Chunghyuldan (GCD) has neuroprotective properties. Salviae miltiorrhizae Radix plays an essential role in GCD’s effect. The Salviae miltiorrhizae Radix marker compound is salvianolic acid B; however, its content is not uniform among samples. This study aimed to evaluate the neuroprotective effects of GCD based on salvianolic acid B content. Methods: The neuroprotective effects of GCD based on the salvianolic acid B content were evaluated by measuring infarct volume 24 h after permanent middle cerebral artery occlusion in an in vivo stroke model. For the experimental group, each GCD was administered immediately before surgery. The control groups were administered distilled water and aspirin (30 mg/kg) in the same way. The salvianolic acid B content in five types of Salviae Miltiorrhizae Radix (two Chinese and three Korean regions) based on different cultivation regions was analyzed by high-performance liquid chromatography. Results: Three samples met the Korean and Chinese Pharmacopeia standards for salvianolic acid B. However, two samples did not. GCDs with high salvianolic acid B showed marked neuroprotective effects compared to the control groups, whereas GCDs with low salvianolic acid B did not. Conclusions: The salvianolic acid B content of Salviae miltiorrhizae Radix affects the neuroprotection effect of GCD. Stable, raw Salviae miltiorrhizae Radix is essential for GCD homogenization. Full article
(This article belongs to the Special Issue Pathophysiology and Molecular Mechanisms of Acute Stroke)
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<p>Results of high-performance liquid chromatography chromatogram for the salvianolic acid B in five types of <span class="html-italic">Salviae mitiorrhizae</span> Radix. (<b>A</b>) Standardized salvianolic acid B. (<b>B</b>) Salvianolic acid B in C1. (<b>C</b>) Salvianolic acid B in C2. (<b>D</b>) Salvianolic acid B in K1. (<b>E</b>) Salvianolic acid B in K2. (<b>F</b>) Salvianolic acid B in K3. K1, K2, and K3 showed high peak values similar to that of the standardized salvianolic acid B. C1 and C2 showed low peak values. C, Chinese <span class="html-italic">Salviae miltiorrhizae</span> Radix; K, Korean <span class="html-italic">Salviae miltiorrhizae</span> Radix.</p>
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<p>Effects of experimental drug A60+B(C1) 30 mg/kg on ischemic brain injury after permanent middle cerebral artery occlusion (pMCAO). Infarct volume was measured 24 h after pMCAO. DW and all drugs were administered just before pMCAO. (<b>A</b>) Individual infarct volume values for each group (n = 13–17 mice in each group). (<b>B Upper</b>) Representative photographs of infarcted brain slices from DW- and drug-treated mice. (<b>B Lower</b>) There was no significant difference in infarct volume among groups. DW, distilled water; ASA, Aspirin<sup>®</sup>; A, Ethanol extract of <span class="html-italic">Coptidis</span> Rhizoma, <span class="html-italic">Phellodendri</span> Cortex, <span class="html-italic">Scutellariae</span> Radix, <span class="html-italic">Gardeniae</span> Fructus, and <span class="html-italic">Rhei</span> Rhizoma; B(C1), Ethanol extract of 2018 Chinese <span class="html-italic">Salviae miltiorrhizae</span> Radix and <span class="html-italic">Notoginseng</span> Radix. Data represent means ± standard deviation.</p>
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<p>Effects of experimental drug A60+B(C2) 30 mg/kg on ischemic brain injury after permanent middle cerebral artery occlusion (pMCAO). Infarct volume was measured 24 h after pMCAO. DW and all drugs were administered just before pMCAO. (<b>A</b>) Individual infarct volume values for each group (n = 9–17 mice in each group). (<b>B Upper</b>) Representative photographs of infarcted brain slices from DW- and drug-treated mice. (<b>B Lower</b>) No significant difference in infarct volume was observed among groups. DW, distilled water; ASA, Aspirin<sup>®</sup>; A, Ethanol extract of <span class="html-italic">Coptidis</span> Rhizoma, <span class="html-italic">Phellodendri</span> Cortex, <span class="html-italic">Scutellariae</span> Radix, <span class="html-italic">Gardeniae</span> Fructus, and <span class="html-italic">Rhei</span> Rhizoma; B(C2), Ethanol extract of 2019 Chinese <span class="html-italic">Salviae miltiorrhizae</span> Radix and <span class="html-italic">Notoginseng</span> Radix. Data represent means ± standard deviation.</p>
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<p>Effects of experimental drug A60+B(K1) 30 mg/kg on ischemic brain injury after permanent middle cerebral artery occlusion (pMCAO). Infarct volume was measured 24 h after pMCAO. DW and all drugs were administered just before pMCAO. (<b>A</b>) Individual infarct volume values for each group (n = 15–19 mice for each group). (<b>B Upper</b>) Representative photographs of infarcted brain slices from DW- and drug-treated mice. (<b>B Lower</b>) The group of experimental drug A+BK1 exhibited a significant decrease in infarct volume after pMCAO compared to groups DW and A60. DW, distilled water; ASA, Aspirin<sup>®</sup>; A, Ethanol extract of <span class="html-italic">Coptidis</span> Rhizoma, <span class="html-italic">Phellodendri</span> Cortex, <span class="html-italic">Scutellariae</span> Radix, <span class="html-italic">Gardeniae</span> Fructus, and <span class="html-italic">Rhei</span> Rhizoma; B(K1), Ethanol extract of 2019 Yeongyang Korean <span class="html-italic">Salviae miltiorrhizae</span> Radix and <span class="html-italic">Notoginseng</span> Radix. Data represent means ± standard deviation. * <span class="html-italic">p</span> &lt; 0.05 vs. DW; ** <span class="html-italic">p</span> &lt; 0.01 vs. A60 by analysis of variance followed by Tukey’s test.</p>
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<p>Effects of experimental drug A60+B(K2) 30 mg/kg on ischemic brain injury after permanent middle cerebral artery occlusion (pMCAO). Infarct volume was measured 24 h after pMCAO. DW and all drugs were administered just before pMCAO. (<b>A</b>) Individual infarct volume values for each group (n = 15–19 mice for each group). (<b>B Upper</b>) Representative photographs of infarcted brain slices from DW- and drug-treated mice. (<b>B Lower</b>) The group of experimental drug A+BK2 exhibited a significant decrease in infarct volume after pMCAO compared to groups DW and A60. DW, distilled water; ASA, Aspirin<sup>®</sup>; A, Ethanol extract of <span class="html-italic">Coptidis</span> Rhizoma, <span class="html-italic">Phellodendri</span> Cortex, <span class="html-italic">Scutellariae</span> Radix, <span class="html-italic">Gardeniae</span> Fructus, and <span class="html-italic">Rhei</span> Rhizoma; B(K2), Ethanol extract of 2019 Jangheung Korean <span class="html-italic">Salviae miltiorrhizae</span> Radix and <span class="html-italic">Notoginseng</span> Radix. Data represent means ± standard deviation. * <span class="html-italic">p</span> &lt; 0.05 vs. DW; ** <span class="html-italic">p</span> &lt; 0.01 vs. A60 by analysis of variance followed by Tukey’s test.</p>
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<p>Effects of experimental drug A60+B(K3) 30 mg/kg on ischemic brain injury after permanent middle cerebral artery occlusion (pMCAO). Infarct volume was measured 24 h after pMCAO. DW and all drugs were administered just before pMCAO. (<b>A</b>) Individual infarct volume values for each group (n = 15–19 mice for each group). (<b>B Upper</b>) Representative photographs of infarcted brain slices from DW- and drug-treated mice. (<b>B Lower</b>) The group administered the experimental drug A+BK3 exhibited a significant decrease in infarct volume after pMCAO compared to the A60 group. DW, distilled water; ASA, Aspirin<sup>®</sup>; A, Ethanol extract of <span class="html-italic">Coptidis</span> Rhizoma, <span class="html-italic">Phellodendri</span> Cortex, <span class="html-italic">Scutellariae</span> Radix, <span class="html-italic">Gardeniae</span> Fructus, and <span class="html-italic">Rhei</span> Rhizoma; B(K3), Ethanol extract of 2020 Korean <span class="html-italic">Salviae miltiorrhizae</span> Radix and <span class="html-italic">Notoginseng</span> Radix. Data represent means ± standard deviation. * <span class="html-italic">p</span> &lt; 0.05 vs. A60 by analysis of variance followed by Tukey’s test.</p>
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12 pages, 3071 KiB  
Article
Isodorsmanin A Prevents Inflammatory Response in LPS-Stimulated Macrophages by Inhibiting the JNK and NF-κB Signaling Pathways
by You Chul Chung, Ami Lee, Jin Ah Ryuk and Youn-Hwan Hwang
Curr. Issues Mol. Biol. 2023, 45(2), 1601-1612; https://doi.org/10.3390/cimb45020103 - 13 Feb 2023
Cited by 4 | Viewed by 1963
Abstract
Natural and synthetic chalcones exhibit anti-inflammatory, antitumoral, antibacterial, antifungal, antimalarial, and antitubercular activities. Isodorsmanin A (IDA), a chalcone, is a well-known constituent of the dried seeds of Psoralea corylifolia L. (PC). Although other constituents of PC have been widely investigated, there are no [...] Read more.
Natural and synthetic chalcones exhibit anti-inflammatory, antitumoral, antibacterial, antifungal, antimalarial, and antitubercular activities. Isodorsmanin A (IDA), a chalcone, is a well-known constituent of the dried seeds of Psoralea corylifolia L. (PC). Although other constituents of PC have been widely investigated, there are no studies on the biological properties of IDA. In this study, we focused on the anti-inflammatory effects of IDA and evaluated its effects on lipopolysaccharide (LPS)-stimulated macrophages. The results showed that IDA suppressed the production of inflammatory mediators (nitric oxide [NO] and prostaglandin E2 [PGE2]) and proinflammatory cytokines (tumor necrosis factor-α [TNF-α], interleukin-6 [IL-6], and interleukin-1β [IL-1β]) without cytotoxicity. In addition, it downregulated the mRNA levels of inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2) within the treatment concentrations. In our mechanistic studies, IDA inhibited the phosphorylation of the c-Jun N-terminal kinase (JNK), mitogen-activated protein kinase (MAPK), and protected the nuclear factor of the kappa light polypeptide gene enhancer in the B-cells’ inhibitor, alpha (IκB-α), from degradation, thus preventing the activation of the nuclear factor kappa-light-chain-enhancer of activated B cells’ (NF-κB) transcription factor. Our results suggest that IDA is a promising compound for attenuating excessive inflammatory responses. Full article
(This article belongs to the Topic Nitrite and Nitric Oxide in Life)
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<p>Effect of isodorsmanin A (IDA) on cell viability in RAW 264.7 macrophages: (<b>a</b>) The chemical structure of IDA. (<b>b</b>) Cells were pretreated with IDA (1.56, 3.13, 6.25, 12.5, or 25 μM) for 3 h and then stimulated with 100 ng/mL lipopolysaccharide (LPS) for another 21 h. The experimental values are presented as the mean ± standard error of triplicate independent experiments. * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 indicate significant differences vs. the non-treated control (Normal).</p>
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<p>Effect of isodorsmanin A (IDA) on (<b>a</b>) nitric oxide (NO) and (<b>b</b>) prostaglandin E<sub>2</sub> (PGE<sub>2</sub>) production in macrophages. Cells were pretreated with IDA (1.56, 3.13, 6.25, or 12.5 μM) for 3 h and then stimulated with 100 ng/mL of LPS for another 21 h. The experimental values are presented as the mean ± standard error of triplicate independent experiments. * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 indicate significant differences vs. the LPS-only group. ## <span class="html-italic">p</span> &lt; 0.01 indicates significant difference vs. Normal group. Dexamethasone (Dex); positive control.</p>
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<p>Effect of isodorsmanin A (IDA) on (<b>a</b>) inducible nitric oxide synthase (iNOS) and (<b>b</b>) cyclooxygenase-2 (COX-2) expression levels in macrophages. Cells were pretreated with IDA (6.25 or 12.5 μM) for 3 h and then stimulated with 100 ng/mL of LPS for another 21 h. The experimental values are presented as the mean ± standard error of triplicate independent experiments. ** <span class="html-italic">p</span> &lt; 0.01 indicates a significant difference vs. the LPS-only group. ## <span class="html-italic">p</span> &lt; 0.01 indicates significant difference vs. Normal group. Dexamethasone (Dex); positive control.</p>
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<p>Effect of isodorsmanin A (IDA) on the expression levels of the proinflammatory cytokines: (<b>a</b>) tumor necrosis factor-α (TNF-α), (<b>b</b>) interleukin-6 (IL-6), and (<b>c</b>) interleukin-1β (IL-1β) in macrophages. Cells were pretreated with IDA (3.13, 6.25, or 12.5 μM) for 3 h and then stimulated with 100 ng/mL of LPS for another 21 h. The experimental values are presented as the mean ± standard error of triplicate independent experiments. * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 indicate significant differences vs. the LPS-only group. ## <span class="html-italic">p</span> &lt; 0.01 indicates significant difference vs. Normal group. Dexamethasone (Dex); positive control.</p>
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<p>Effect of isodorsmanin A (IDA) on the phosphorylation of c-Jun N-terminal kinase (JNK) in macrophages. Cells were pretreated with IDA (6.25 or 12.5 μM) for 3 h and then stimulated with 100 ng/mL of LPS for another 2 h. Western blot results are from duplicate independent experiments. The results in the graphs are presented as the mean ± standard error from triplicate measurements. ** <span class="html-italic">p</span> &lt; 0.01 indicates significant differences vs. the LPS-only group. ## <span class="html-italic">p</span> &lt; 0.01 indicates significant difference vs. Normal group. Dexamethasone (Dex); positive control.</p>
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<p>Effect of isodorsmanin A (IDA) on the protein level of the nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB)-p65 in the (<b>a</b>) cytoplasm and (<b>b</b>) nucleus of lipopolysaccharide (LPS)-stimulated macrophages. Cells were pretreated with IDA (12.5 μM) for 3 h and then stimulated with 100 ng/mL of LPS for different time intervals (30 min, 1 h, and 2 h). Western blot results are from duplicate independent experiments. The results in the graphs are presented as the mean ± standard error from triplicate measurements. Significance was tested using two-way ANOVA followed by Turkey’s post hoc test. ** <span class="html-italic">p</span> &lt; 0.01. ns; not significant.</p>
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<p>Effect of isodorsmanin A (IDA) on the protein levels of (<b>a</b>) phosphorylated (p)-nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB)-p65, (<b>b</b>) nuclear factor of kappa light polypeptide gene enhancer in B-cells’ inhibitor, alpha (IκB-α), and p-IκB-α in macrophages. Cells were pretreated with IDA (6.25 or 12.5 μM) for 3 h and then stimulated with 100 ng/mL of LPS for another 2 h. Western blot results are from duplicate independent experiments. The results in the graphs are presented as the mean ± standard error from triplicate measurements. * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 indicate significant differences vs. the LPS-only group. ## <span class="html-italic">p</span> &lt; 0.01 indicates significant difference vs. Normal group. Dexamethasone (Dex); positive control.</p>
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14 pages, 3978 KiB  
Article
Hesperetin Induces Autophagy and Delayed Apoptosis by Modulating the AMPK/Akt/mTOR Pathway in Human Leukemia Cells In Vitro
by Ching-Yeh Lin, Ya-Hui Chen and Ying-Chih Huang
Curr. Issues Mol. Biol. 2023, 45(2), 1587-1600; https://doi.org/10.3390/cimb45020102 - 13 Feb 2023
Cited by 10 | Viewed by 2897
Abstract
Background: Hesperetin has been reported to have anticancer properties. However, the molecular mechanisms underlying its action on leukemia cells remain unclear. This in vitro study evaluated the possible mechanisms of hesperetin in leukemia cells (HL-60 and U937). Methods: Cell viability was evaluated using [...] Read more.
Background: Hesperetin has been reported to have anticancer properties. However, the molecular mechanisms underlying its action on leukemia cells remain unclear. This in vitro study evaluated the possible mechanisms of hesperetin in leukemia cells (HL-60 and U937). Methods: Cell viability was evaluated using a cell counting kit-8 (CCK-8) assay. Apoptosis and autophagy assays were conducted through annexin V/PI staining and acidic vesicular organelle (AVO) staining. Cell cycle analysis was conducted through propidium iodide (PI) and flow cytometry. The expression of proteins related to apoptosis and autophagy, including cleaved-PARP-1, Bcl-2, Bax, LC3-I/II, Beclin-1, Atg5, p62, phospho-AMPK, AMPK, phospho-mTOR, mTOR, phospho-Akt, and Akt, in human leukemia cells were evaluated using Western blotting. Results: Hesperetin dose-dependently inhibited leukemia cell viability. However, we found a low degree of apoptosis and cell cycle arrest induced by hesperetin in U937 cells. These findings imply the presence of additional mechanisms modulating hesperetin-induced cell death. Next, we evaluated autophagy, the possible mechanism modulating cell death or survival, to clarify the underlying mechanism of hesperetin-induced cell death. Hesperetin also dose-dependently increased the ratio of LC3II/I, Atg5, and Beclin 1 and decreased p62. Moreover, 3-methyladenine (3-MA) and bafilomycin A1 (Baf-A1) inhibited hesperetin-induced autophagy. We suggest that hesperetin can protect cancer cells during the transient period and may extend survival. Furthermore, a decrease in p-mTOR and p-Akt expression and an increase in p-AMPK expression were observed. Collectively, these findings suggest that hesperetin induces autophagy by modulating the AMPK/Akt/mTOR pathway. Conclusion: Hesperetin promoted cell death in the human leukemic cell line U937 by inducing a low degree of slight apoptosis, cell cycle arrest, and autophagy. It is therefore a potential adjuvant to antileukemia therapy and may be combined with other chemotherapeutic drugs to reduce chemoresistance and side effects. Full article
(This article belongs to the Special Issue Molecular Mechanisms of Leukemia)
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<p>Effect of hesperetin on human leukemic cell viability. HL-60 and U937 cell lines (4 × 10<sup>4</sup> cells/mL) were treated with hesperetin at 0, 12.5, 25, 50, and 100 µM for 24 h (<b>A</b>) and 48 h (<b>B</b>). Cell viability was evaluated using a CCK-8 assay. The <span class="html-italic">Y</span>-axis indicates the percentage of cell survival, and the <span class="html-italic">X</span>-axis indicates various concentrations of hesperetin. The mean ± SD of the three independent experiments performed in triplicate are shown. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001 vs. the control group; ns, not significant; the results are representative of three independent experiments.</p>
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<p>Effects of hesperetin compounds on apoptosis and cell cycle arrest of U937 cells. (<b>A</b>) U937 cell apoptosis was analyzed at 24 and 48 h by flow cytometry with annexin V-FITC/PI staining to distinguish early apoptotic (annexin V-FITC positive, PI negative; Q4-1 and Q4) from late apoptotic or necrotic cells (Annexin V-FITC positive, PI positive; Q2-1 and Q2). (<b>B</b>) The cell cycle was assessed using flow cytometry in U937 cells with or without hesperetin treatment. (<b>C</b>) U937 cells were treated with hesperetin at 0, 12.5, 25, 50, and 100 µM for 48 h. Cleaved-PARP-1, Bcl-2, Bax, and GAPDH expressions were analyzed with Western blotting by using the cell lysates. The mean ± SD of the three independent experiments performed in triplicate are shown. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001 vs. the control group; ns, not significant; the results are representative of three independent experiments.</p>
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<p>Effects of hesperetin compounds on apoptosis and cell cycle arrest of U937 cells. (<b>A</b>) U937 cell apoptosis was analyzed at 24 and 48 h by flow cytometry with annexin V-FITC/PI staining to distinguish early apoptotic (annexin V-FITC positive, PI negative; Q4-1 and Q4) from late apoptotic or necrotic cells (Annexin V-FITC positive, PI positive; Q2-1 and Q2). (<b>B</b>) The cell cycle was assessed using flow cytometry in U937 cells with or without hesperetin treatment. (<b>C</b>) U937 cells were treated with hesperetin at 0, 12.5, 25, 50, and 100 µM for 48 h. Cleaved-PARP-1, Bcl-2, Bax, and GAPDH expressions were analyzed with Western blotting by using the cell lysates. The mean ± SD of the three independent experiments performed in triplicate are shown. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001 vs. the control group; ns, not significant; the results are representative of three independent experiments.</p>
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<p>Effects of hesperetin on autophagy in U937 cells. (<b>A</b>) To evaluate the change in the number of AVOs in cells treated with hesperetin, the cells were treated with different concentrations of hesperetin at 24 and 48 h. Next, the cells were stained with acridine orange (1 μg/mL) at 37 °C for 15 min in the dark. The cells were analyzed using a FACScan flow cytometer. The data were analyzed using BD Cell Quest software. (<b>B</b>) LC3-I/II, Beclin-1, Atg5, p62, and GAPDH protein expression for 24 and 48 h (<b>C</b>) were analyzed with Western and semiquantified in representative results of the same pattern from three independent experiments are shown. (<b>D</b>) U937 cells were exposed to the indicated concentration of hesperetin in the presence or absence of autophagy inhibitor 3-MA (left panel) or Baf-A1 (right panel) for 24 h. Cell viability was assessed using the CCK-8 assay. The mean ± SD of the three independent experiments performed in triplicate are shown. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001 vs. the control group; ns, not significant; the results are representative of three independent experiments.</p>
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<p>Effects of hesperetin on autophagy in U937 cells. (<b>A</b>) To evaluate the change in the number of AVOs in cells treated with hesperetin, the cells were treated with different concentrations of hesperetin at 24 and 48 h. Next, the cells were stained with acridine orange (1 μg/mL) at 37 °C for 15 min in the dark. The cells were analyzed using a FACScan flow cytometer. The data were analyzed using BD Cell Quest software. (<b>B</b>) LC3-I/II, Beclin-1, Atg5, p62, and GAPDH protein expression for 24 and 48 h (<b>C</b>) were analyzed with Western and semiquantified in representative results of the same pattern from three independent experiments are shown. (<b>D</b>) U937 cells were exposed to the indicated concentration of hesperetin in the presence or absence of autophagy inhibitor 3-MA (left panel) or Baf-A1 (right panel) for 24 h. Cell viability was assessed using the CCK-8 assay. The mean ± SD of the three independent experiments performed in triplicate are shown. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001 vs. the control group; ns, not significant; the results are representative of three independent experiments.</p>
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<p>Effect of hesperetin on the AMPK/Akt/mTOR signaling pathway in U937 cells. U937 cells (5 × 10<sup>5</sup>) were treated with hesperetin at 0, 12.5, 25, 50, and 100 μM for 24 h (<b>A</b>) and 48 h (<b>B</b>). The expression of phospho-AMPK<sup>Thr172</sup>, AMPK, phospho-mTOR<sup>Ser2448</sup>, mTOR, Phospho-Akt<sup>Ser473</sup>, Akt and GAPDH was analyzed with Western blotting and semiquantified; representative results of the same pattern from three independent experiments are shown. The mean ± SD of the three independent experiments performed in triplicate are shown. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001 vs. the control group; ns, not significant; the results are representative of three independent experiments.</p>
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<p>Schematic diagram of hesperetin molecular mechanism in leukemia cells. Hesperetin modulates AMPK/Akt/mTOR signaling and induces autophagy and delayed apoptosis by regulating the AMPK/Akt/mTOR pathway through AMPK activation, Akt and mTOR downregulation, inactivating and activating various target proteins, such as cleaved-PARP-1, Bcl-2, Bax, LC3-I/II, Beclin-1, Atg5, and p62; hesperetin promoted cell death in the human leukemic cell line U937 by inducing a low degree of slight apoptosis, cell cycle arrest, and autophagy, which increases the anticancer effect on leukemia (created with BioRender.com).</p>
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17 pages, 4382 KiB  
Article
Analysis of the Properties of 44 ABC Transporter Genes from Biocontrol Agent Trichoderma asperellum ACCC30536 and Their Responses to Pathogenic Alternaria alternata Toxin Stress
by Hua-Ying Du, Yu-Zhou Zhang, Kuo Liu, Pei-Wen Gu, Shuang Cao, Xiang Gao, Zhi-Ying Wang, Zhi-Hua Liu and Ze-Yang Yu
Curr. Issues Mol. Biol. 2023, 45(2), 1570-1586; https://doi.org/10.3390/cimb45020101 - 12 Feb 2023
Cited by 7 | Viewed by 2025
Abstract
ATP-binding cassette (ABC) transporters are involved in transporting multiple substrates, such as toxins, and may be important for the survival of Trichoderma when encountering biotic toxins. In this study, genome searching revealed that there are 44 ABC transporters encoded in the genome of [...] Read more.
ATP-binding cassette (ABC) transporters are involved in transporting multiple substrates, such as toxins, and may be important for the survival of Trichoderma when encountering biotic toxins. In this study, genome searching revealed that there are 44 ABC transporters encoded in the genome of Trichoderma asperellum. These ABC transporters were divided into six types based on three-dimensional (3D) structure prediction, of which four, represented by 39 ABCs, are involved in transport and the remaining two, represented by 5 ABCs, are involved in regulating translation. The characteristics of nucleotide-binding domain (NBD) are important in the identification of ABC proteins. Even though the 3D structures of the 79 NBDs in the 44 ABCs are similar, multiple sequence alignment showed they can be divided into three classes. In total, 794 motifs were found in the promoter regions of the 44 ABC genes, of which 541 were cis-regulators related to stress responses. To characterize how their ABCs respond when T. asperellum interact with fungi or plants, T. asperellum was cultivated in either minimal media (MM) control, C-hungry, N-hungry, or poplar medium (PdPap) to simulate normal conditions, competition with pathogens, interaction with pathogens, and interaction with plants, respectively. The results show that 17 of 39 transport ABCs are highly expressed in at least one condition, whereas four of the five translation-regulating ABCs are highly expressed in at least one condition. Of these 21 highly expressed ABCs, 6 were chosen for RT-qPCR expression under the toxin stress of phytopathogen Alternaria alternata, and the results show ABC01, ABC04, ABC05, and ABC31 were highly expressed and may be involved in pathogen interaction and detoxifying toxins from A. alternata. Full article
(This article belongs to the Special Issue Microbial Engineering: Gene Expression Regulation and Its Application)
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<p>Alignment of the 79 NBDs within the 44 ABCs. NBDs were predicted using NCBI BlastP, and amino acid sequences that differ from previous studies are highlighted in yellow. Numbers in names indicate the ABC protein number. The B with the shadow in the names represent the NBD and the position of the peptide.</p>
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<p>Phylogenetic analysis of the 44 ABC proteins. The phylogenetic tree was constructed using the maximum-likelihood method (model: LG + G + I + F) with 1000 bootstrap replicates in the MEGA 7.0 program. The positions of multidomains were drawn in the TBtools program.</p>
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<p>The predicted three-dimensional structures of the 44 ABC transporters in <span class="html-italic">T. asperellum.</span> The prediction was conducted using Clustal Omega (<a href="http://www.ebi.ac.uk/services/proteins" target="_blank">http://www.ebi.ac.uk/services/proteins</a>, accessed on 13 March 2021). The number at the top right corner shows the protein number. The first line below the structure shows the order of conserved domains (A–E represents domains belonging to the ABC-membrane, ABC-ATPase, ABC2-membrane, ABC-tran-2, and acyl-transfer-3 superfamilies, respectively). The second line below the structure shows the multidomain type. The third line below the structure shows the protein molecular weight (kDa).</p>
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<p>Regulatory element-binding motifs in the promoters of the 44 <span class="html-italic">ABC</span> transporter genes in <span class="html-italic">Trichoderma asperellum</span>.</p>
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<p>Heatmap of expression of 44 ABC transporters under four different conditions based on RNA-Seq. C-hungry = MM with 0.5% (<span class="html-italic">w</span>/<span class="html-italic">v</span>) ammonium sulfate, N-hungry = MM with 0.5% (<span class="html-italic">w</span>/<span class="html-italic">v</span>) glucose, and PdPap = variable carbon source in MM containing either 1% (<span class="html-italic">w</span>/<span class="html-italic">v</span>) root powder, 1% (<span class="html-italic">w</span>/<span class="html-italic">v</span>) stem powder, or 1% (<span class="html-italic">w</span>/<span class="html-italic">v</span>) leaf powder from PdPap. The heatmap of genes value = log<sub>2</sub>(RPKM), where red means high expression and blue means low expression, and the genes are clustered according to their expression.</p>
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<p>Transcription analysis of six <span class="html-italic">ABC</span> genes. Expression of ABC protein in <span class="html-italic">Trichoderma asperellum</span> cultured in MM medium (Control) or toxin-induced medium, MM with 10% fermentation filtrate of <span class="html-italic">Alternaria alternata</span> (Treatment). Differential expression = Treatment − Control. Error bars represent standard deviation. (<b>A</b>): <span class="html-italic">ABC01</span>; (<b>B</b>): <span class="html-italic">ABC02</span>; (<b>C</b>): <span class="html-italic">ABC04</span>; (<b>D</b>): <span class="html-italic">ABC05</span>; (<b>E</b>): <span class="html-italic">ABC30</span>; (<b>F</b>): <span class="html-italic">ABC31</span> (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, n = 3).</p>
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2 pages, 174 KiB  
Editorial
Editorial for Special Issue: “Effects of Nanoparticles on Living Organisms”
by Yoshitaka Miyamoto
Curr. Issues Mol. Biol. 2023, 45(2), 1568-1569; https://doi.org/10.3390/cimb45020100 - 10 Feb 2023
Viewed by 1247
Abstract
This Special Issue provides an overview of the “Effects of Nanoparticles on Living Organisms” [...] Full article
(This article belongs to the Special Issue Effects of Nanoparticles on Living Organisms)
32 pages, 1679 KiB  
Review
Advances in Molecular Regulation of Prostate Cancer Cells by Top Natural Products of Malaysia
by Jose M. Prieto and Mohd Mukrish Mohd Hanafi
Curr. Issues Mol. Biol. 2023, 45(2), 1536-1567; https://doi.org/10.3390/cimb45020099 - 9 Feb 2023
Cited by 4 | Viewed by 4482
Abstract
Prostate cancer (PCa) remains both a global health burden and a scientific challenge. We present a review of the molecular targets driving current drug discovery to fight this disease. Moreover, the preventable nature of most PCa cases represents an opportunity for phytochemicals as [...] Read more.
Prostate cancer (PCa) remains both a global health burden and a scientific challenge. We present a review of the molecular targets driving current drug discovery to fight this disease. Moreover, the preventable nature of most PCa cases represents an opportunity for phytochemicals as chemopreventive when adequately integrated into nutritional interventions. With a renovated interest in natural remedies as a commodity and their essential role in cancer drug discovery, Malaysia is looking towards capitalizing on its mega biodiversity, which includes the oldest rainforest in the world and an estimated 1200 medicinal plants. We here explore whether the list of top Malay plants prioritized by the Malaysian government may fulfill the potential of becoming newer, sustainable sources of prostate cancer chemotherapy. These include Andrographis paniculate, Centella asiatica, Clinacanthus nutans, Eurycoma longifolia, Ficus deltoidea, Hibiscus sabdariffa, Marantodes pumilum (syn. Labisia pumila), Morinda citrifolia, Orthosiphon aristatus, and Phyllanthus niruri. Our review highlights the importance of resistance factors such as Smac/DIABLO in cancer progression, the role of the CXCL12/CXCR4 axis in cancer metastasis, and the regulation of PCa cells by some promising terpenes (andrographolide, Asiatic acid, rosmarinic acid), flavonoids (isovitexin, gossypin, sinensetin), and alkylresorcinols (labisiaquinones) among others. Full article
(This article belongs to the Special Issue Advances in Molecular Pathogenesis Regulation in Cancer)
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<p>Chemical structure of andrographolide.</p>
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<p>Chemical structure of Asiatic acid, also known as dammarolic acid.</p>
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<p>Chemical structure of vitexin (<b>left</b>) and isovitexin (<b>right</b>).</p>
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<p>Chemical structure of gossypin.</p>
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<p>Chemical structure of cytotoxic alkylresorcinols from <span class="html-italic">M. pumilum</span>. 1-<span class="html-italic">O</span>-methyl-6-acetoxy-5-(pentadec-10<span class="html-italic">Z</span>-enyl)resorcinol (<b>a</b>), labisiaquinone A (<b>b</b>), labisiaquinone B (<b>c</b>), and 1-<span class="html-italic">O</span>-methyl-6-acetoxy-5-pentadecylresorcinol (<b>d</b>).</p>
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<p>Chemical structure of cytotoxic saccharide fatty acid esters (<b>a</b>), asperulosidic acid (<b>b</b>), adamnacanthal (<b>c</b>), and escopoletin (<b>d</b>) present in <span class="html-italic">M. citrifolia</span> L.</p>
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<p>Chemical structure of rosmarinic acid (<b>a</b>) and sinensetin (<b>b</b>) present in <span class="html-italic">O. aristatus</span>.</p>
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17 pages, 726 KiB  
Review
The Quest for Neurodegenerative Disease Treatment—Focusing on Alzheimer’s Disease Personalised Diets
by Matei Palimariciuc, Ioana-Miruna Balmus, Bogdan Gireadă, Alin Ciobica, Roxana Chiriță, Alin-Constantin Iordache, Mihai Apostu and Romeo Petru Dobrin
Curr. Issues Mol. Biol. 2023, 45(2), 1519-1535; https://doi.org/10.3390/cimb45020098 - 9 Feb 2023
Cited by 5 | Viewed by 3044
Abstract
Dementia represents a clinical syndrome characterised by progressive decline in memory, language, visuospatial and executive function, personality, and behaviour, causing loss of abilities to perform instrumental or essential activities of daily living. The most common cause of dementia is Alzheimer’s disease (AD), which [...] Read more.
Dementia represents a clinical syndrome characterised by progressive decline in memory, language, visuospatial and executive function, personality, and behaviour, causing loss of abilities to perform instrumental or essential activities of daily living. The most common cause of dementia is Alzheimer’s disease (AD), which accounts for up to 80% of all dementia cases. Despite that extensive studies regarding the etiology and risk factors have been performed in recent decades, and how the current knowledge about AD pathophysiology significantly improved with the recent advances in science and technology, little is still known about its treatment options. In this controverted context, a nutritional approach could be a promising way to formulate improved AD management strategies and to further analyse possible treatment strategy options based on personalised diets, as Nutritional Psychiatry is currently gaining relevance in neuropsychiatric disease treatment. Based on the current knowledge of AD pathophysiology, as well as based on the repeatedly documented anti-inflammatory and antioxidant potential of different functional foods, we aimed to find, describe, and correlate several dietary compounds that could be useful in formulating a nutritional approach in AD management. We performed a screening for relevant studies on the main scientific databases using keywords such as “Alzheimer’s disease”, “dementia”, “treatment”, “medication”, “treatment alternatives”, “vitamin E”, “nutrition”, “selenium”, “Ginkgo biloba”, “antioxidants”, “medicinal plants”, and “traditional medicine” in combinations. Results: nutrients could be a key component in the physiologic and anatomic development of the brain. Several nutrients have been studied in the pursuit of the mechanism triggered by the pathology of AD: vitamin D, fatty acids, selenium, as well as neuroprotective plant extracts (i.e., Ginkgo biloba, Panax ginseng, Curcuma longa), suggesting that the nutritional patterns could modulate the cognitive status and provide neuroprotection. The multifactorial origin of AD development and progression could suggest that nutrition could greatly contribute to the complex pathological picture. The identification of adequate nutritional interventions and the not yet fully understood nutrient activity in AD could be the next steps in finding several innovative treatment options for neurodegenerative disorders. Full article
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<p>Brain selenium transport mechanism (simplified).</p>
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<p>Main selenoprotein classes and their involvement in AD pathomechanism.</p>
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19 pages, 1918 KiB  
Article
Changes in the Expression Profile of Pyroptosis-Related Genes in Senescent Retinal Pigment Epithelial Cells after Lutein Treatment
by Barbara Strzalka-Mrozik, Marcel Madej, Natalia Kurowska, Celina Kruszniewska-Rajs, Magdalena Kimsa-Dudek, Jolanta Adamska and Joanna Magdalena Gola
Curr. Issues Mol. Biol. 2023, 45(2), 1500-1518; https://doi.org/10.3390/cimb45020097 - 9 Feb 2023
Cited by 7 | Viewed by 2648
Abstract
Retinal pigment epithelium (RPE) is a specialized structure essential for proper vision, which is constantly exposed to oxidative damage. With aging, this damage accumulates within the RPE cells, causing various diseases, including age-related macular degeneration (AMD). Numerous antioxidant substances are used to prevent [...] Read more.
Retinal pigment epithelium (RPE) is a specialized structure essential for proper vision, which is constantly exposed to oxidative damage. With aging, this damage accumulates within the RPE cells, causing various diseases, including age-related macular degeneration (AMD). Numerous antioxidant substances are used to prevent this process in humans, including lutein. This study aims to determine the differences in the expression patterns of pyroptosis genes in senescent human retinal pigment epithelial cell line ARPE-19 exposed to lutein. Changes in the expression of pyroptosis-related genes were assessed by oligonucleotide microarrays, and the results were validated by real-time RT-qPCR. The microarray analysis showed seven transcripts were differentially expressed both in the H2O2-treated cells versus the controls and in the lutein/H2O2-treated cells compared to the H2O2-treated cells (FC > 2.0). Depending on the used lutein, H2O2, or co-treatment of ARPE-19 cells, statistically significant differences in the expression of TXNIP, CXCL8, BAX, and CASP1 genes were confirmed by the RT-qPCR (p < 0.05). A STRING database analysis showed that the proteins encoded by the analyzed genes form a strong interaction network (p < 0.001). These data indicate that lutein modulates the expression level of pyroptosis-related genes, which may be useful for the development of new methods preventing pyroptosis pathway activation in the future. Full article
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<p>Cell viability of the ARPE-19 cells that were treated with (<b>a</b>) H<sub>2</sub>O<sub>2</sub> for 30, 60, and 120 min., as well as (<b>b</b>) treated with lutein for 24 h. Each bar represents the mean ± standard deviation (SD), Dunnett’s test, * <span class="html-italic">p</span> &lt; 0.05 versus control (C). Sample size: five wells and three technical replicates for each concetration of H<sub>2</sub>0<sub>2</sub> and eight wells and three technical replicates for each concetration of lutein.</p>
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<p>Non-treated and H<sub>2</sub>O<sub>2</sub>-treated ARPE-19 cells stained for senescence-associated β-galactosidase activity. The cells were treated with H<sub>2</sub>O<sub>2</sub> at a concentration of 400 μM for 60 min. The arrows indicate blue SA-β-gal-positive cells.</p>
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<p>Percentage of SA-β-gal-positive cells in non-treated (C) and H<sub>2</sub>O<sub>2</sub>-treated ARPE-19 cells (H). The bars present mean ± standard deviation (SD); Student’s <span class="html-italic">t</span>-test; * <span class="html-italic">p</span> &lt; 0.05. The percent of SA-β-gal-positive cells was counted in ten microscopic fields.</p>
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<p>Changes in the mRNA levels of (<b>a</b>) TP53, (<b>b</b>) CDKN1A and (<b>c</b>) CDKN1B genes in non-treated (C) and H<sub>2</sub>O<sub>2</sub>-treated (H) ARPE-19 cells. The box and whisker plots present the mean ± standard error (SE) and standard deviation (SD) of copy numbers per 1 μg of the total RNA; Student’s <span class="html-italic">t</span>-test; * <span class="html-italic">p</span> &lt; 0.05 versus C. Sample size: three biological and three technical replicates for each test group.</p>
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<p>Fluorescence signal intensity maps specific to 128 ID mRNA pyroptosis-related genes specific to the control ARPE--19 cells (C), lutein-treated ARPE-19 cells (L), H<sub>2</sub>O<sub>2-</sub>-treated ARPE-19 cells (H), and lutein-- and H<sub>2</sub>O<sub>2</sub>-treated ARPE-19 cells (LH). Blue—indicates the lowest values and red—indicates the highest values of fluorescence signals.</p>
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<p>Changes in the mRNA levels of (<b>a</b>) <span class="html-italic">TXNIP</span>, (<b>b</b>) <span class="html-italic">CXCL8</span>, (<b>c</b>) <span class="html-italic">BCL2</span>, (<b>d</b>) <span class="html-italic">BAX</span>, (<b>e</b>) <span class="html-italic">CASP1</span>, and (<b>f</b>) <span class="html-italic">CASP9</span> genes in senescent retinal pigment epithelial cells after treatment with H<sub>2</sub>O<sub>2</sub> (H), lutein (L), co-treated with lutein and H<sub>2</sub>O<sub>2</sub> (LH), and non-treated cells (C). The box and whisker plots present the mean ± standard error (SE) and standard deviation (SD) of copy numbers per 1 μg of the total RNA; Tukey’s post hoc test; * <span class="html-italic">p</span> &lt; 0.05 versus C; # <span class="html-italic">p</span> &lt; 0.05 versus H; ^ <span class="html-italic">p</span> &lt; 0.05 versus LH. Sample size—three biological and three technical replicates for each test group.</p>
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<p>Protein–protein interaction network generated using the STRING database. STRING database—Search Tool for the Retrieval of Interacting Genes/Proteins.</p>
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17 pages, 4930 KiB  
Article
Therapeutic Effects of Aloe saponaria against Ulcerative Colitis Induced by Dextran Sulfate Sodium
by Do Yeong Kweon, Hee Jin Song, Ji Eun Kim, You Jeong Jin, Yu Jeong Roh, Ayun Seol, Ju Min Park, Eun Suk Lee, Won Sik Choi and Dae Youn Hwang
Curr. Issues Mol. Biol. 2023, 45(2), 1483-1499; https://doi.org/10.3390/cimb45020096 - 9 Feb 2023
Cited by 4 | Viewed by 2898
Abstract
Aloe vera (A. vera) has been studied as a treatment option for ulcerative colitis (UC), but there is a lack of scientific evidence showing whether treatment with Aloe saponaria (A. saponaria) can also be beneficial. To investigate the therapeutic [...] Read more.
Aloe vera (A. vera) has been studied as a treatment option for ulcerative colitis (UC), but there is a lack of scientific evidence showing whether treatment with Aloe saponaria (A. saponaria) can also be beneficial. To investigate the therapeutic potential of A. saponaria as a treatment for UC, clinical symptoms, histopathological characteristics of the colon, inflammatory response, and toxicity were analyzed in dextran sulfate sodium (DSS)-induced UC mice after administration of aqueous extracts of A. saponaria (AAS) for 7 days. The total polyphenol and tannin content of AAS was 272 µg/g and 163 µg/g, respectively. AAS exhibited significant antioxidant activity. Several clinical symptoms, including body weight, colon length, and hematochezia, remarkably improved in the DSS+AAS treated group compared to the DSS+Vehicle-treated group. In addition, similar improvements were detected in the histopathological characteristics and mucin-secreting ability in the colon of DSS-induced UC mice after the administration of AAS. The levels of infiltrated inflammatory cells and cytokine expression were significantly decreased in a dose-dependent manner in the colon of the DSS+AAS-treated group. These alterations in inflammatory response were accompanied by a significant recovery of the protein kinase C/extracellular signal-regulated kinase (PKC/ERK) and phosphatidylinositol-3-kinase/serine-threonine protein kinase (PI3K/Akt) signaling pathways. However, the levels of key markers for hepatotoxicity and nephrotoxicity consistently remained between those of the DSS+AAS-treated and the No groups. Therefore, the results of the present study provide novel evidence that AAS may improve the clinical symptoms and attenuate the inflammatory response in DSS-induced UC mice and does not have any significant hepatotoxicity or nephrotoxicity. Full article
(This article belongs to the Special Issue Bioactives and Inflammation)
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Figure 1
<p>Morphology and biochemical properties of <span class="html-italic">A. saponaria.</span> (<b>a</b>) After drying the <span class="html-italic">A. saponaria</span> leaves completely, the leaves were powdered using a blender. This was used as the sample for further studies. (<b>b</b>) Total polyphenol and condensed tannin contents were determined at different concentrations of AAS. (<b>c</b>) DPPH radical scavenging activity was measured in a mixture including 0.1 mM DPPH and three concentrations of AAS (1, 2, and 4 mg/mL). These samples were assayed in duplicate by DPPH radical scavenging activity analysis. Data are reported as the mean ± SD. Abbreviations: AAS, aqueous extract of <span class="html-italic">A. saponaria</span>; DPPH, 1,1-diphenyl-2-picrylhydrazyl radical.</p>
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<p>Clinical symptoms in DSS+AAS-treated mice. (<b>a</b>) Survival rate during the 7 days of treatment. Survival rate was monitored in all mice of the subset groups, as described in Materials and Methods section. (<b>b</b>) DAI score. This score was calculated by combining scores of three factors including body weight loss, stool consistency, and gross bleeding. (<b>c</b>) Changes in body weight during the 7 days of treatment. (<b>d</b>) Body weight at 7th day. The body weight of No, DSS+Vehicle, DSS+LAAS and DSS+HAAS-treated groups were measured from 0 to 7 days weeks, using a chemical balance. (<b>e</b>) Actual image of colon. After collection of colons, the total length from caecum to anus was measured using a ruler. Their morphology was observed using a digital camera. (<b>f</b>) Length of colons. This value is represented as a bar graph and statistical significance is indicated. Seven mice per group were used to prepare the clinical symptom analysis, and survival rate, DAI score, body weight and colon length analysis were measured in duplicate. The data are reported as the mean ± SD. *, <span class="html-italic">p</span> &lt; 0.05 relative to the No group. <sup>#</sup>, <span class="html-italic">p</span> &lt; 0.05 relative to the DSS+Vehicle-treated group. Abbreviations: AAS, aqueous extract of <span class="html-italic">A. saponaria</span>; DSS, Dextran sodium sulfate; DAI, Disease activity index; No: Non-UC group; LAAS: Low dose of AAS; HAAS: High dose of AAS; PC, Proximal colon; MC, Mid colon; DC, Distal colon.</p>
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<p>Clinical symptoms in DSS+AAS-treated mice. (<b>a</b>) Survival rate during the 7 days of treatment. Survival rate was monitored in all mice of the subset groups, as described in Materials and Methods section. (<b>b</b>) DAI score. This score was calculated by combining scores of three factors including body weight loss, stool consistency, and gross bleeding. (<b>c</b>) Changes in body weight during the 7 days of treatment. (<b>d</b>) Body weight at 7th day. The body weight of No, DSS+Vehicle, DSS+LAAS and DSS+HAAS-treated groups were measured from 0 to 7 days weeks, using a chemical balance. (<b>e</b>) Actual image of colon. After collection of colons, the total length from caecum to anus was measured using a ruler. Their morphology was observed using a digital camera. (<b>f</b>) Length of colons. This value is represented as a bar graph and statistical significance is indicated. Seven mice per group were used to prepare the clinical symptom analysis, and survival rate, DAI score, body weight and colon length analysis were measured in duplicate. The data are reported as the mean ± SD. *, <span class="html-italic">p</span> &lt; 0.05 relative to the No group. <sup>#</sup>, <span class="html-italic">p</span> &lt; 0.05 relative to the DSS+Vehicle-treated group. Abbreviations: AAS, aqueous extract of <span class="html-italic">A. saponaria</span>; DSS, Dextran sodium sulfate; DAI, Disease activity index; No: Non-UC group; LAAS: Low dose of AAS; HAAS: High dose of AAS; PC, Proximal colon; MC, Mid colon; DC, Distal colon.</p>
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<p>Histopathological characteristics and mucin secretion in the colon of DSS+AAS-treated mice. (<b>a</b>) Histological structure. Colon tissues were stained with H&amp;E and cellular morphology was viewed at 100× and 400× magnification. (<b>b</b>) Histopathological score. This was determined based on the severity of inflammation, the extent of inflammation, and crypt damage. (<b>c</b>,<b>d</b>) Mucin staining analyses. Mucin secreted from the crypt layer cells was stained with Alcian blue at pH 2.5, and images were observed at 100× magnification. Three to five mice per group were used to prepare Alcian blue stained slides, and staining density was analyzed in duplicate for each slide. (<b>e</b>) Expression of MUC2. The levels of MUC2 transcripts in the total mRNA of mid colons were measured by RT-qPCR using specific primers. The mRNA level of this gene was calculated, based on the intensity of GAPDH as an endogenous control. Five to seven mice per group were used to prepare Histopathological characteristics and mucin secretion analyses, and H&amp;E staining, mucin staining, and RT-qPCR was analyzed in duplicate for each sample. The data are reported as the mean ± SD. *, <span class="html-italic">p</span> &lt; 0.05 relative to the No group. <sup>#</sup>, <span class="html-italic">p</span> &lt; 0.05 relative to the DSS+Vehicle-treated group. Abbreviation: Abbreviation: AAS, aqueous extract of <span class="html-italic">A. saponaria</span>; DSS, Dextran sodium sulfate; No: Non-UC group; LAAS: Low dose of AAS; HAAS: High dose of AAS; H&amp;E stain: hematoxylin and eosin stain; MUC2, Mucin 2; RT-qPCR: Quantitative Real Time-PCR.</p>
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<p>Histopathological characteristics and mucin secretion in the colon of DSS+AAS-treated mice. (<b>a</b>) Histological structure. Colon tissues were stained with H&amp;E and cellular morphology was viewed at 100× and 400× magnification. (<b>b</b>) Histopathological score. This was determined based on the severity of inflammation, the extent of inflammation, and crypt damage. (<b>c</b>,<b>d</b>) Mucin staining analyses. Mucin secreted from the crypt layer cells was stained with Alcian blue at pH 2.5, and images were observed at 100× magnification. Three to five mice per group were used to prepare Alcian blue stained slides, and staining density was analyzed in duplicate for each slide. (<b>e</b>) Expression of MUC2. The levels of MUC2 transcripts in the total mRNA of mid colons were measured by RT-qPCR using specific primers. The mRNA level of this gene was calculated, based on the intensity of GAPDH as an endogenous control. Five to seven mice per group were used to prepare Histopathological characteristics and mucin secretion analyses, and H&amp;E staining, mucin staining, and RT-qPCR was analyzed in duplicate for each sample. The data are reported as the mean ± SD. *, <span class="html-italic">p</span> &lt; 0.05 relative to the No group. <sup>#</sup>, <span class="html-italic">p</span> &lt; 0.05 relative to the DSS+Vehicle-treated group. Abbreviation: Abbreviation: AAS, aqueous extract of <span class="html-italic">A. saponaria</span>; DSS, Dextran sodium sulfate; No: Non-UC group; LAAS: Low dose of AAS; HAAS: High dose of AAS; H&amp;E stain: hematoxylin and eosin stain; MUC2, Mucin 2; RT-qPCR: Quantitative Real Time-PCR.</p>
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<p>Expression level of pro-inflammatory cytokines in DSS-induced UC model after administration of AAS. The levels of TNF-α (<b>a</b>), IL-1β (<b>b</b>), IL-6 (<b>c</b>), and IL-10 (<b>d</b>) transcripts were detected in the total mRNA of colon tissue by performing qRT-PCR with specific primers. Five to seven mice per group were used to prepare the total RNAs, and qRT-PCR was performed in duplicate for each sample. Data are reported as the mean ± SD. *, <span class="html-italic">p</span> &lt; 0.05 relative to the No group. <sup>#</sup>, <span class="html-italic">p</span> &lt; 0.05 relative to the DSS+Vehicle-treated group. Abbreviation: AAS, aqueous extract of <span class="html-italic">A. saponaria</span>; RT-qPCR, quantitative real time-PCR; TNF-α, Tumor necrosis factor-alpha; IL, Interleukin.</p>
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<p>Expression level of pro-inflammatory cytokines in DSS-induced UC model after administration of AAS. The levels of TNF-α (<b>a</b>), IL-1β (<b>b</b>), IL-6 (<b>c</b>), and IL-10 (<b>d</b>) transcripts were detected in the total mRNA of colon tissue by performing qRT-PCR with specific primers. Five to seven mice per group were used to prepare the total RNAs, and qRT-PCR was performed in duplicate for each sample. Data are reported as the mean ± SD. *, <span class="html-italic">p</span> &lt; 0.05 relative to the No group. <sup>#</sup>, <span class="html-italic">p</span> &lt; 0.05 relative to the DSS+Vehicle-treated group. Abbreviation: AAS, aqueous extract of <span class="html-italic">A. saponaria</span>; RT-qPCR, quantitative real time-PCR; TNF-α, Tumor necrosis factor-alpha; IL, Interleukin.</p>
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<p>PI3K/Akt signaling pathway and PKC/ERK signaling pathway in DSS+AAS-treated mice. (<b>a</b>) Level of key members in the PI3K/Akt signaling pathways. Expression levels of six proteins were determined using an imaging densitometer. The level of each protein is presented relative to the intensity of GAPDH. (<b>b</b>) Level of key members in PKC/ERK signaling pathway. Expression levels of six proteins were determined using an imaging densitometer. The level of each protein is presented relative to the intensity of GAPDH. Five to seven mice per group were used to prepare tissue homogenates, and Western blot analysis was performed in duplicate for each sample. Data are reported as the mean ± SD. *, <span class="html-italic">p</span> &lt; 0.05 relative to the No group. <sup>#</sup>, <span class="html-italic">p</span> &lt; 0.05 relative to the DSS+Vehicle-treated group. Abbreviation: AAS, aqueous extract of <span class="html-italic">A. saponaria</span>; PKC, Protein kinase C; Akt, Serine-threonine protein kinase; ERK, Extracellular signal regulated kinase; PI3K, Phosphoinositide 3-kinase; JNK, c-Jun N-terminal kinase.</p>
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<p>Histopathological features of the liver and kidney in DSS+AAS-treated mice. (<b>a</b>) Structure around the pericentral region in liver. (<b>b</b>) Structure around of the periportal region in liver. (<b>c</b>) Tubule region in kidney. (<b>d</b>) Glomerulus region in kidney. Liver and kidney tissues were stained with H&amp;E and cellular morphology was viewed at 400× magnification. Five to seven mice per group per group were used to prepare H&amp;E stained tissue slides, and histopathological alterations were analyzed in duplicate for each sample. Abbreviation: AAS, aqueous extract of <span class="html-italic">A. saponaria</span>; C, Central vein; H, Hepatocytes; E, Endothelial cells; V, Portal vein.; H&amp;E stain: hematoxylin and eosin stain; G, Glomeruli; BS, Bowman’s space; P, proximal convoluted tubule; D, distal convoluted tubule.</p>
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12 pages, 2139 KiB  
Communication
Proof-of-Concept Analysis of B Cell Receptor Repertoire in COVID-19 Patients Undergoing ECMO by Single-Cell V(D)J and Gene Expression Sequencing
by Alessia Gallo, Nicola Cuscino, Claudia Carcione, Rosalia Busà, Pier Giulio Conaldi and Matteo Bulati
Curr. Issues Mol. Biol. 2023, 45(2), 1471-1482; https://doi.org/10.3390/cimb45020095 - 9 Feb 2023
Viewed by 2608
Abstract
SARS-CoV-2, which causes COVID-19, has altered human activities all over the world and has become a global hazard to public health. Despite considerable advancements in pandemic containment techniques, in which vaccination played a key role, COVID-19 remains a global threat, particularly for frail [...] Read more.
SARS-CoV-2, which causes COVID-19, has altered human activities all over the world and has become a global hazard to public health. Despite considerable advancements in pandemic containment techniques, in which vaccination played a key role, COVID-19 remains a global threat, particularly for frail patients and unvaccinated individuals, who may be more susceptible to developing ARDS. Several studies reported that patients with COVID-19-related ARDS who were treated with ECMO had a similar survival rate to those with COVID-19-unrelated ARDS. In order to shed light on the potential mechanisms underlying the COVID-19 infection, we conducted this proof-of-concept study using single-cell V(D)J and gene expression sequencing of B cells to examine the dynamic changes in the transcriptomic BCR repertoire present in patients with COVID-19 at various stages. We compared a recovered and a deceased COVID-19 patient supported by ECMO with one COVID-19-recovered patient who did not receive ECMO treatment and one healthy subject who had never been infected previously. Our analysis revealed a downregulation of FXYD, HLA-DRB1, and RPS20 in memory B cells; MTATP8 and HLA-DQA1 in naïve cells; RPS4Y1 in activated B cells; and IGHV3-73 in plasma cells in COVID-19 patients. We further described an increased ratio of IgA + IgG to IgD + IgM, suggestive of an intensive memory antibody response, in the COVID ECMO D patient. Finally, we assessed a V(D)J rearrangement of heavy chain IgHV3, IGHJ4, and IGHD3/IGHD2 families in COVID-19 patients regardless of the severity of the disease. Full article
(This article belongs to the Special Issue Next-Generation Sequencing (NGS) Technique and Personalized Medicine)
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<p>The antigen-binding domain of immunoglobulins is composed of two polypeptide chains, namely heavy and light chains. The exons that encode the antigen-binding domains of the heavy chain are assembled from V (variable), D (diversity), and J (joining) gene segments by a process defined as “cut-and-paste” DNA rearrangements. This process, named V(D)J recombination, selects a pair of segments, introduces double-strand breaks next to each segment, deletes the intermediate DNA, and ligates the segments together. Rearrangements take place in a well-ordered way, with D-to-J joining proceeding before a V segment is joined to the rearranged D–J segments. The rearrangement of the light chain is identical except for the absence of D gene fragments.</p>
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<p>Features of B cell subsets. (<b>A</b>) Violin plots show the expression distribution of canonical cell markers in B cell subsets. (<b>B</b>) Proportion of B cell clusters in each sample. (<b>C</b>) t-SNE projection of B cells from all four samples. Each dot corresponds to a single cell, colored according to cell clusters. (<b>D</b>) Heat map representation of differentially expressed genes of B cell populations in the COVID ECMO S, COVID ECMO D, COVID R, and the healthy control. Genes with a maximum adjusted <span class="html-italic">p</span>-value of 0.01 and an absolute value of log2 (fold change) &gt;0.5 were considered to be differentially expressed genes.</p>
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<p>Features of B cell subpopulations. (<b>A</b>) Heat map representation of differentially expressed genes of B cell subpopulations (naïve cells, activated B cells, memory B cells, and plasma cells) of the COVID ECMO S, COVID ECMO D, COVID R, and healthy control. Genes with a maximum adjusted <span class="html-italic">p</span>-value of 0.01 and an absolute value of log2 (fold change) &gt;0.5 were considered to be differentially expressed genes. (<b>B</b>) The graphs show the sequencing results of highly deregulated mRNA in the COVID ECMO S, COVID ECMO D, COVID R, and healthy control.</p>
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<p>(<b>A</b>) t-SNE plot of B cells colored by immunoglobulin heavy chain expression. (<b>B</b>) The proportion of different immunoglobulin isotypes in each sample. (<b>C</b>) The pie plot shows the proportion of clonally expanded B cells in the COVID ECMO S, COVID ECMO D, and COVID R patients and in the healthy control. (<b>D</b>) The distribution of immunoglobulin heavy chain (IGH) CDR3 length. (<b>E</b>) The bubble chart shows the usage frequency of V–J gene combination in each sample.</p>
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28 pages, 1156 KiB  
Review
Multiple Sclerosis: Inflammatory and Neuroglial Aspects
by Giulio Papiri, Giordano D’Andreamatteo, Gabriella Cacchiò, Sonila Alia, Mauro Silvestrini, Cristina Paci, Simona Luzzi and Arianna Vignini
Curr. Issues Mol. Biol. 2023, 45(2), 1443-1470; https://doi.org/10.3390/cimb45020094 - 8 Feb 2023
Cited by 36 | Viewed by 5501
Abstract
Multiple sclerosis (MS) represents the most common acquired demyelinating disorder of the central nervous system (CNS). Its pathogenesis, in parallel with the well-established role of mechanisms pertaining to autoimmunity, involves several key functions of immune, glial and nerve cells. The disease’s natural history [...] Read more.
Multiple sclerosis (MS) represents the most common acquired demyelinating disorder of the central nervous system (CNS). Its pathogenesis, in parallel with the well-established role of mechanisms pertaining to autoimmunity, involves several key functions of immune, glial and nerve cells. The disease’s natural history is complex, heterogeneous and may evolve over a relapsing-remitting (RRMS) or progressive (PPMS/SPMS) course. Acute inflammation, driven by infiltration of peripheral cells in the CNS, is thought to be the most relevant process during the earliest phases and in RRMS, while disruption in glial and neural cells of pathways pertaining to energy metabolism, survival cascades, synaptic and ionic homeostasis are thought to be mostly relevant in long-standing disease, such as in progressive forms. In this complex scenario, many mechanisms originally thought to be distinctive of neurodegenerative disorders are being increasingly recognized as crucial from the beginning of the disease. The present review aims at highlighting mechanisms in common between MS, autoimmune diseases and biology of neurodegenerative disorders. In fact, there is an unmet need to explore new targets that might be involved as master regulators of autoimmunity, inflammation and survival of nerve cells. Full article
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<p>The positive feedback loop of hypoxia and inflammation. The low oxygen presence will lead to the activation of NF-κB, m-TOR, HIF1, ATF4, CHOP signaling, all regulators of inflammation. Increased levels of autoreactive leukocytes and pro-inflammatory cytokines can decrease vasoreactivity, and impair mitochondrial function, which could in turn exacerbate hypoxia.</p>
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<p>Overview of relevant pathways to MS pathology regulated by vasoactive peptides.</p>
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21 pages, 6442 KiB  
Article
Synthesis, Molecular Docking, and Dynamic Simulation Targeting Main Protease (Mpro) of New, Thiazole Clubbed Pyridine Scaffolds as Potential COVID-19 Inhibitors
by Adel Alghamdi, Amr S. Abouzied, Abdulwahab Alamri, Sirajudheen Anwar, Mukhtar Ansari, Ibrahim Khadra, Yasser H. Zaki and Sobhi M. Gomha
Curr. Issues Mol. Biol. 2023, 45(2), 1422-1442; https://doi.org/10.3390/cimb45020093 - 7 Feb 2023
Cited by 42 | Viewed by 3329
Abstract
Many biological activities of pyridine and thiazole derivatives have been reported, including antiviral activity and, more recently, as COVID-19 inhibitors. Thus, in this paper, we designed, synthesized, and characterized a novel series of N-aminothiazole-hydrazineethyl-pyridines, beginning with a N′-(1-(pyridine-3-yl)ethylidene)hydrazinecarbothiohydrazide derivative and various [...] Read more.
Many biological activities of pyridine and thiazole derivatives have been reported, including antiviral activity and, more recently, as COVID-19 inhibitors. Thus, in this paper, we designed, synthesized, and characterized a novel series of N-aminothiazole-hydrazineethyl-pyridines, beginning with a N′-(1-(pyridine-3-yl)ethylidene)hydrazinecarbothiohydrazide derivative and various hydrazonoyl chlorides and phenacyl bromides. Their Schiff bases were prepared from the condensation of N-aminothiazole derivatives with 4-methoxybenzaldehyde. FTIR, MS, NMR, and elemental studies were used to identify new products. The binding energy for non-bonding interactions between the ligand (studied compounds) and receptor was determined using molecular docking against the SARS-CoV-2 main protease (PDB code: 6LU7). Finally, the best docked pose with highest binding energy (8a = −8.6 kcal/mol) was selected for further molecular dynamics (MD) simulation studies to verify the outcomes and comprehend the thermodynamic properties of the binding. Through additional in vitro and in vivo research on the newly synthesized chemicals, it is envisaged that the achieved results will represent a significant advancement in the fight against COVID-19. Full article
(This article belongs to the Special Issue Drug Development and Repositioning Methodology on COVID-19)
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<p>Pyridine and thiazole derivatives as potential coronaviruses.</p>
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<p>Bioavailability radar of newly synthesized compounds <b>3</b>–<b>14c</b>.</p>
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<p>Two-dimensional interactions of re-docked co-crystalized Ligand (N3) onto the active site of M<sup>pro</sup>.</p>
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<p>Two-dimensional interactions of docked compounds <b>6b, 6e, 14a, 14b</b>, and <b>14c</b> into the active site of M<sup>pro</sup>.</p>
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<p>Interactions of compound <b>8a</b> with Mpro residues in three dimensions. Green dashed lines are used to indicate the hydrogen bonding.</p>
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<p>Compound <b>8a</b>: 2D interactions with Mpro residues.</p>
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<p>Mapping surface demonstrating compound <b>8a</b> existing in the Mpro active pocket.</p>
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<p>MD simulation analysis of 100 ns trajectories of (<b>A</b>) Cα backbone of (Mpro) (6LU7) + <b>8a</b> ligand, (<b>B</b>) RMSF of Cα backbone of 6LU7 bound with <b>8a</b>-ligand, (<b>C</b>) radius of gyration (Rg) of Cα backbone of 6LU7 bound with <b>8a,</b> (<b>D</b>) formation of hydrogen bonds in 6LU7 bound with <b>8a</b> complex, (<b>E</b>) numbers of salt bridge formation between and <b>8a</b>, and (<b>F</b>) solvent-accessible surface area of 6LU7 bound with <b>8a</b> complex.</p>
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<p>MD simulation analysis of 100 ns trajectories of (<b>A</b>) Cα backbone of (Mpro) (6LU7) + <b>8a</b> ligand, (<b>B</b>) RMSF of Cα backbone of 6LU7 bound with <b>8a</b>-ligand, (<b>C</b>) radius of gyration (Rg) of Cα backbone of 6LU7 bound with <b>8a,</b> (<b>D</b>) formation of hydrogen bonds in 6LU7 bound with <b>8a</b> complex, (<b>E</b>) numbers of salt bridge formation between and <b>8a</b>, and (<b>F</b>) solvent-accessible surface area of 6LU7 bound with <b>8a</b> complex.</p>
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<p>PCA analysis of Eigen values of 1000 frame Cartesian coordinates from the MD trajectory for 100 ns for 6LU7 + <b>8a</b>.</p>
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<p>Synthesis of thiazoles <b>6a</b>–<b>e</b> and Schiff bases <b>8a,d</b>.</p>
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<p>Alternative synthesis of Schiff bases derivatives <b>8a,d</b>.</p>
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<p>Synthesis of thiazoles <b>13a</b>–<b>c</b> and Schiff bases <b>14a</b>–<b>c</b>.</p>
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15 pages, 18625 KiB  
Article
Urinary Proteome Differences in Patients with Type 2 Diabetes Pre and Post Liraglutide Treatment
by Mohamed Rafiullah, Hicham Benabdelkamel, Afshan Masood, Aishah A. Ekhzaimy, Mohthash Musambil, Salini Scaria Joy and Assim A. Alfadda
Curr. Issues Mol. Biol. 2023, 45(2), 1407-1421; https://doi.org/10.3390/cimb45020092 - 6 Feb 2023
Cited by 8 | Viewed by 2401
Abstract
Diabetes mellitus is a chronic multisystem disease with a high global prevalence. The glucagon-like peptide-1 (GLP-1) receptor agonist liraglutide is known to lower glucose levels and reduce weight. However, the mechanisms underlying the benefits of liraglutide treatment in patients with type 2 diabetes [...] Read more.
Diabetes mellitus is a chronic multisystem disease with a high global prevalence. The glucagon-like peptide-1 (GLP-1) receptor agonist liraglutide is known to lower glucose levels and reduce weight. However, the mechanisms underlying the benefits of liraglutide treatment in patients with type 2 diabetes mellitus (T2DM) remain unclear. Twelve male patients with T2DM (pre and post liraglutide treatment) and HbA1c between 8% and 11% were recruited. In the present study, a two-dimensional difference gel electrophoresis (2D-DIGE) matrix-assisted laser desorption/ionization-time of flight (MALDI TOF) mass spectrometric approach combined with bioinformatics and network pathway analysis was used to explore the urine proteomic profile. The mean age of the patients was 52.4 ± 7.5 years. After treatment with liraglutide, a statistically significant change (p < 0.006) was observed in HbA1c with no significant changes in body weight or markers of dyslipidemia. Two-dimensional difference gel electrophoresis identified significant changes (≥1.5-fold change, ANOVA, p ≤ 0.05) in 32 proteins (4 down- and 28 upregulated) in liraglutide post treatment compared to the pre-treatment state. Albumin, serotransferrin, metallothionein-2 (MT-2), and keratins K1 and K10 were found to be upregulated after liraglutide treatment. The patients showed significant improvement in glycemic control after the 12-week treatment with liraglutide. The renoprotective effect of liraglutide may be linked to the increased urinary abundance of MT-2 and the decreased abundance of zinc alpha 2-glycoprotein (ZAG) and Alpha-1 antitrypsin (α1-AT). More studies are needed to elucidate the molecular mechanisms behind the renoprotective effects of liraglutide. Full article
(This article belongs to the Special Issue Natural Products as Potential Sources of Antidiabetic Compounds)
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<p>Representative fluorescent protein profile of a two-dimensional difference in gel electrophoresis (2D-DIGE) containing urine sample from post-treatment with liraglutide labeled with Cy3 (<b>A</b>), pre-treatment labeled with Cy5 (<b>B</b>), a pooled internal control labeled with Cy2 (<b>C</b>), and a merged image of PRE/POST (<b>D</b>).</p>
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<p>2D-DIGE numbered spots indicate proteins with differential abundance (defined as fold-change ≥ 1.5, <span class="html-italic">p</span> ≤ 0.05) between pre-treated and post-treated samples successfully identified with matrix-assisted laser desorption/ionization time-of-flight (MALDI TOF) mass spectrometry (MS). MW, protein molecular weight; pI, isoelectric point.</p>
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<p>Principal component analysis of the proteomic dataset. Pink dots denote the 12 liraglutide pre-treated urine samples, and blue dots indicate the 12 liraglutide post-treated samples. Together, these explained 60.95% of the selected spots’ variability values. Colored dots and numbers represent gels and spots, respectively.</p>
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<p>The differentially expressed proteins’ most enriched interaction network in both the pre- and post-treatment phases. Protein nodes with a blue or red halo denote upregulation or downregulation, respectively. Protein nodes without a halo are proposed by the STRING database and indicate potential targets that were functionally coordinated with the differentially expressed proteins. The solid black line displays co-expression; the green line indicates the gene neighborhood; the dark-blue line indicates gene co-occurrence; the purple line shows experimentally determined protein interactions. Interaction network of differentially expressed proteins in the pretreatment group compared to the post-treatment group.</p>
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<p>Comparative representation (%) of reported proteins divided into groups based on their cellular components (<b>A</b>), molecular functions (<b>B</b>), and biological processes (<b>C</b>).</p>
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11 pages, 5176 KiB  
Article
Chloride Intracellular Channel Protein 1 Expression and Angiogenic Profile of Liver Metastasis of Digestive Origin
by Amalia Raluca Ceausu, Alexandru Ciolofan, Alexandru Blidisel, Andrei Alexandru Cosma, Pusa Nela Gaje and Octavian Cretu
Curr. Issues Mol. Biol. 2023, 45(2), 1396-1406; https://doi.org/10.3390/cimb45020091 - 6 Feb 2023
Viewed by 1808
Abstract
Chloride intracellular channel 1 (CLIC1) is involved in cell migration and metastasis. The histological growth patterns of liver metastasis are as follows: desmoplastic (d-HGP), replacement (r-HGP), pushing (p-HGP), and mixed. The aim of this study was to evaluate the relation between HGP, angiogenesis, [...] Read more.
Chloride intracellular channel 1 (CLIC1) is involved in cell migration and metastasis. The histological growth patterns of liver metastasis are as follows: desmoplastic (d-HGP), replacement (r-HGP), pushing (p-HGP), and mixed. The aim of this study was to evaluate the relation between HGP, angiogenesis, and CLIC1 expression. Materials and Methods: A total of 40 cases of primary tumors and their LM: d-HGP (12 cases), r-HGP (13 cases), and p-HGP (15 cases), were evaluated through simple and double immunostaining. CLIC1 assessment was conducted as follows: scores of 0 (less than 10% of positive cells), 1 (10–30%), 2 (30–50%), or 3 (more than 50%) were assigned. Heterogeneous CLIC1 expression was found. CLIC1 in primary tumors correlated with grade G for all cases of LM with a p-HGP (p = 0.004). The CLIC1 score for LMs with an r-HGP correlated with grade G of the corresponding primary tumor (p = 0.027). CLIC1 and CD34+/Ki67+ vessels (p = 0.006) correlated in primary tumors. CLIC1 in primary tumors correlated with CD34+/Ki67+ vessels of LMs with a d HGP (p = 0.024). Conclusions: The CLIC1 score may have prognostic value, mainly for LMs with a p-HGP and r-HGP, and therapeutic value for LMs with a d-HGP. Full article
(This article belongs to the Special Issue Molecular-Based Approaches in Therapy for Gastrointestinal Cancers)
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<p>CD 34 immunoexpression, poorly differentiated colon adenocarcinomas, intratumoral vessels, ×200 magnification (<b>A</b>,<b>B</b>), and corresponding metastasis (p-HGP), ×200 magnification (<b>C</b>).</p>
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<p>CD34 immunoexpression in moderately differentiated colon adenocarcinoma, ×200 magnification (<b>A</b>), and corresponding liver metastasis, replacement HGP, ×100 magnification <b>(B</b>).</p>
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<p>CLIC1 immunoexpression, colorectal adenocarcinoma, score of 2, ×400 magnification (<b>A</b>), and LM, desmoplastic HGP, score of 2, ×200 magnification (<b>B</b>).</p>
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<p>CLIC1 immunoexpression, gastric adenocarcinoma, score of 2, ×400 magnification (<b>A</b>), and corresponding LM, pushing HGP, score of 3, ×200 magnification (<b>B</b>). CLIC1 expression intensity in the cytoplasm (purple arrow <span class="html-fig-inline" id="cimb-45-00091-i001"><img alt="Cimb 45 00091 i001" src="/cimb/cimb-45-00091/article_deploy/html/images/cimb-45-00091-i001.png"/></span>) increased in the nucleus (blue arrow <span class="html-fig-inline" id="cimb-45-00091-i002"><img alt="Cimb 45 00091 i002" src="/cimb/cimb-45-00091/article_deploy/html/images/cimb-45-00091-i002.png"/></span>) of the cell.</p>
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<p>CLIC1 immunoexpression, pancreatic adenocarcinoma, score of 3, ×200 magnification (<b>A</b>) and corresponding LM, replacement HGP, score of 3, ×400 magnification (<b>B</b>).</p>
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<p>The overall survival in CLIC1 positive cases of LM, divided in three groups (A = d-HGP; B = p-HGP and C = r-HGP).</p>
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<p>CLIC1 alteration from TCGA database in gastric adenocarcinoma (<b>A</b>), pancreatic adenocarcinoma (<b>B</b>) and colorectal adenocarcinoma (<b>C</b>). CLIC1 expression and overall survival interrelation (<b>D</b>).</p>
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9 pages, 606 KiB  
Article
In Silico Integrated Analysis of Genomic, Transcriptomic, and Proteomic Data Reveals QTL-Specific Genes for Bacterial Canker Resistance in Tomato (Solanum lycopersicum L.)
by Ibrahim Celik
Curr. Issues Mol. Biol. 2023, 45(2), 1387-1395; https://doi.org/10.3390/cimb45020090 - 6 Feb 2023
Cited by 2 | Viewed by 1965
Abstract
Bacterial canker of tomato, caused by Clavibacter michiganensis subsp. michiganensis (Cmm), is a devasting disease that leads to significant yield losses. Although QTLs originating from three wild species (Solanum arcanum, S. habrochaites, and S. pimpinellifolium) were identified, [...] Read more.
Bacterial canker of tomato, caused by Clavibacter michiganensis subsp. michiganensis (Cmm), is a devasting disease that leads to significant yield losses. Although QTLs originating from three wild species (Solanum arcanum, S. habrochaites, and S. pimpinellifolium) were identified, none of the QTLs was annotated for candidate gene identification. In the present study, a QTL-based physical map was constructed to reveal the meta-QTLs for Cmm resistance. As a result, seven major QTLs were mapped. Functional annotation of QTLs revealed 48 candidate genes. Additionally, experimentally validated Cmm resistance-related genes based on transcriptomic and proteomic studies were mapped in the genome and 25 genes were found to be located in the QTL regions. The present study is the first report to construct a physical map for Cmm resistance QTLs and identify QTL-specific candidate genes. The candidate genes identified in the present study are valuable targets for fine mapping and developing markers for marker-assisted selection in tomatoes for Cmm resistance breeding. Full article
(This article belongs to the Special Issue Functional Genomics and Comparative Genomics Analysis in Plants)
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<p>Physical map of QTLs and differentially expressed genes. Black-colored genes were reported by Balaji et al. [<a href="#B13-cimb-45-00090" class="html-bibr">13</a>], red-colored genes were reported by Lara-Ávila [<a href="#B14-cimb-45-00090" class="html-bibr">14</a>], and green-colored genes were reported by Coaker et al. [<a href="#B12-cimb-45-00090" class="html-bibr">12</a>].</p>
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14 pages, 1549 KiB  
Review
Carbonic Anhydrase II Activators in Osteopetrosis Treatment: A Review
by Zikra Alkhayal, Zakia Shinwari, Ameera Gaafar and Ayodele Alaiya
Curr. Issues Mol. Biol. 2023, 45(2), 1373-1386; https://doi.org/10.3390/cimb45020089 - 6 Feb 2023
Cited by 7 | Viewed by 3270
Abstract
Osteopetrosis is a rare hereditary illness generated by failure in osteoclasts resulting in elevated bone densities. Patients with osteopetrosis possess several complications, like dental caries, earlier teeth loss, delayed eruption, malformed crowns and roots, and lamina dura thickening. Since deficiency of carbonic anhydrase [...] Read more.
Osteopetrosis is a rare hereditary illness generated by failure in osteoclasts resulting in elevated bone densities. Patients with osteopetrosis possess several complications, like dental caries, earlier teeth loss, delayed eruption, malformed crowns and roots, and lamina dura thickening. Since deficiency of carbonic anhydrase II is a major cause behind osteopetrosis, carbonic anhydrase II activators have a large number of applications in osteopetrosis treatment. There is a lack of a comprehensive review on osteopetrosis, pathogenesis of dental abnormalities, and the role of carbonic anhydrase II activators in osteopetrosis treatment. To address this research gap, the authros perfomed a comprehensive review on osteopetrosis and its types, pathogenesis of dental abnormalities, and the role of carbonic anhydrase II activators in osteopetrosis treatment. A brief introduction to the pathogenesis of dental abnormalities and regeneration is provided in this survey. A discussion of types of osteopetrosis depending on genetic inheritance, such as autosomal dominant, autosomal recessive, and X-linked inheritance osteopetrosis, is presented in this survey. The paper also focuses on the importance of carbonic anhydrase II activators as a potential drug therapy for dental osteopetrosis. In addition, a brief note on the role of azole and fluconazole in treating osteopetrosis is given. Finally, future directions involving gene therapy for dental osteopetrosis are described. Full article
(This article belongs to the Collection Feature Papers in Current Issues in Molecular Biology)
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<p>Panoramic radiographs illustrating the teeth of a healthy individual and an individual with osteopetrosis.</p>
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<p>Multinucleated osteoclasts differentiating and becoming active.</p>
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<p>Structure elucidation of carbonic anhydrase II activators.</p>
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<p>Illustrating the proteins involved in the pathophysiology of human osteopetrosis.</p>
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<p>Potential for differentiation of oral mesenchymal stem cells.</p>
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24 pages, 6647 KiB  
Article
Development and Optimization of Label-Free Quantitative Proteomics under Different Crossing Periods of Bottle Gourd
by Anurag Malik, Virender Singh Mor, Himani Punia, D. S. Duhan, Jayanti Tokas, Axay Bhuker, Mohammed Nasser Alyemeni and Awais Shakoor
Curr. Issues Mol. Biol. 2023, 45(2), 1349-1372; https://doi.org/10.3390/cimb45020088 - 6 Feb 2023
Cited by 3 | Viewed by 2561
Abstract
Bottle gourd, a common vegetable in the human diet, has been valued for its medicinal and energetic properties. In this experiment, the time-resolved analysis of the changes in the proteins’ electrophoretic patterning of the seed development at different crossing periods was studied in [...] Read more.
Bottle gourd, a common vegetable in the human diet, has been valued for its medicinal and energetic properties. In this experiment, the time-resolved analysis of the changes in the proteins’ electrophoretic patterning of the seed development at different crossing periods was studied in bottle gourd using label-free quantitative proteomics. Hybrid HBGH-35 had the highest observed protein levels at the 4th week of the crossing period (F4) compared to the parental lines, viz. G-2 (M) and Pusa Naveen (F). The crossing period is significantly correlated with grain filling and reserve accumulation. The observed protein expression profile after storage was related to seed maturation and grain filling in bottle gourds. A total of 2517 proteins were identified in differentially treated bottle gourd fruits, and 372 proteins were differentially expressed between different crossing periods. Proteins related to carbohydrate and energy metabolism, anthocyanin biosynthesis, cell stress response, and fruit firmness were characterized and quantified. Some proteins were involved in the development, while others were engaged in desiccation and the early grain-filling stage. F4 was distinguished by an increase in the accumulation of low molecular weight proteins and enzymes such as amylase, a serine protease, and trypsin inhibitors. The seed vigor also followed similar patterns of differential expression of seed storage proteins. Our findings defined a new window during seed production, which showed that at F4, maximum photosynthetic assimilates accumulated, resulting in an enhanced source–sink relationship and improved seed production. Our study attempts to observe the protein expression profiling pattern under different crossing periods using label-free quantitative proteomics in bottle gourd. It will facilitate future detailed investigation of the protein associated with quality traits and the agronomic importance of bottle gourd through selective breeding programs. Full article
(This article belongs to the Special Issue Genetic Sight: Plant Traits during Postharvest)
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<p>The seed vigor potential of bottle gourd hybrid HBGH-35 and two parental lines, female Pusa Naveen and male G2-line. (<b>a</b>) Seed vigor I and (<b>b</b>) seed vigor II.</p>
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<p>As an interaction plot, the seed vigor potential of bottle gourd hybrid HBGH-35 and two parental lines, female Pusa Naveen and male G2-line, were plotted. (<b>a</b>) Seed vigor I and (<b>b</b>) seed vigor II.</p>
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<p>(<b>a</b>) Gel showing different protein extraction methods in bottle gourd leaves. Lane 1, SDS; Lane 2, acetone-phenol; Lane 3, 10% TCA containing β-ME; Lane 4, TCA with β-ME and 1 mM PMSF; Lane 5, sucrose; Lane 6: lysis buffer. (<b>b</b>) Lane 1, lysis buffer; Lane 2, sucrose; Lane 3, 10% TCA containing β-ME and 1 mM PMSF; Lane 4, TCA with β-ME; Lane 5, acetone-phenol; Lane 6, SDS. (<b>c</b>) SDS-PAGE of extractable proteins in bottle gourd leaves. Hybrid HBGH-35: Lane 1, F1; Lane 2, F2; Lane 3, F3; Lane 4, F4; Lane 5, F5. (<b>d</b>) Lane 1, F1 in male; Lane 2, F2 in male; Lane 3, F3 in male; Lane 4, F4 in male; Lane 5, F5 in male; Lane 6, F1 in the female; Lane 7, F2 in the female; Lane 8, F3 in the female; Lane 9, F4 in the female; Lane 10, F5 in the female. (<b>e</b>) SDS-PAGE analysis of extractable proteins in bottle gourd seeds. Hybrid HBGH-35: Lane 1, F1; Lane 2, F2; Lane 3, F3; Lane 4, F4; Lane 5, F5. (<b>f</b>) Lane 1, F1 male; Lane 2, F2 male; Lane 3, F3 male; Lane 4, F4 male; Lane 5, F5 male; Lane 6, F1 female; Lane 7, F2 female; Lane 8, F3 female; Lane 9, F4 female; Lane 10, F5 female; M: marker; kDa: kilodaltons (molecular weight standards).</p>
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<p>(<b>a</b>) Gel showing different protein extraction methods in bottle gourd leaves. Lane 1, SDS; Lane 2, acetone-phenol; Lane 3, 10% TCA containing β-ME; Lane 4, TCA with β-ME and 1 mM PMSF; Lane 5, sucrose; Lane 6: lysis buffer. (<b>b</b>) Lane 1, lysis buffer; Lane 2, sucrose; Lane 3, 10% TCA containing β-ME and 1 mM PMSF; Lane 4, TCA with β-ME; Lane 5, acetone-phenol; Lane 6, SDS. (<b>c</b>) SDS-PAGE of extractable proteins in bottle gourd leaves. Hybrid HBGH-35: Lane 1, F1; Lane 2, F2; Lane 3, F3; Lane 4, F4; Lane 5, F5. (<b>d</b>) Lane 1, F1 in male; Lane 2, F2 in male; Lane 3, F3 in male; Lane 4, F4 in male; Lane 5, F5 in male; Lane 6, F1 in the female; Lane 7, F2 in the female; Lane 8, F3 in the female; Lane 9, F4 in the female; Lane 10, F5 in the female. (<b>e</b>) SDS-PAGE analysis of extractable proteins in bottle gourd seeds. Hybrid HBGH-35: Lane 1, F1; Lane 2, F2; Lane 3, F3; Lane 4, F4; Lane 5, F5. (<b>f</b>) Lane 1, F1 male; Lane 2, F2 male; Lane 3, F3 male; Lane 4, F4 male; Lane 5, F5 male; Lane 6, F1 female; Lane 7, F2 female; Lane 8, F3 female; Lane 9, F4 female; Lane 10, F5 female; M: marker; kDa: kilodaltons (molecular weight standards).</p>
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<p>PCA score plot to assess the variance among the protein compositions of the four sets and the control protein mixtures (<span class="html-italic">n</span> = 3). Component−1 explains 62.6% of the variability of the data, whereas component 2 is responsible for 13.9% (the total accumulated percentage is 75%).</p>
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<p>Venn diagram of the number of differentially expressed proteins identified in the bottle gourd proteome under different crossing periods.</p>
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<p>Gene Ontology classification of pathways using PANTHER in HBGH35 and Pusa Naveen (♀).</p>
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<p>Gene Ontology classification of proteins in HBGH35 and Pusa Naveen (♀) based on their molecular function.</p>
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<p>Gene Ontology classification of proteins with: (<b>a</b>) process hits, (<b>b</b>) HBGH35, and (<b>c</b>) Pusa Naveen (♀) based on their biological processes.</p>
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<p>Gene Ontology classification of proteins: (<b>a</b>) process hits, (<b>b</b>) HBGH35, and (<b>c</b>) Pusa Naveen (♀) based on their cellular level.</p>
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<p>Gene Ontology classification of proteins in HBGH35 and Pusa Naveen (♀) based on their molecular function and metabolic interconversion enzymes.</p>
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<p>The functions of the main differential proteins in different crossing periods.</p>
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<p>STRING analysis of (<b>a</b>) more abundant, (<b>b</b>) less abundant, and (<b>c</b>) gene co-occurrence patterns across genomes shows similarities.</p>
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<p>STRING analysis of (<b>a</b>) more abundant, (<b>b</b>) less abundant, and (<b>c</b>) gene co-occurrence patterns across genomes shows similarities.</p>
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16 pages, 2238 KiB  
Article
Ozoile Reduces the LPS-Induced Inflammatory Response in Colonic Epithelial Cells and THP-1 Monocytes
by Maria Paola Bertuccio, Valentina Rizzo, Salvatore Arena, Alessandra Trainito, Angela Simona Montalto, Daniela Caccamo, Monica Currò, Carmelo Romeo and Pietro Impellizzeri
Curr. Issues Mol. Biol. 2023, 45(2), 1333-1348; https://doi.org/10.3390/cimb45020087 - 5 Feb 2023
Cited by 12 | Viewed by 2997
Abstract
Inappropriate activation of immune functions in intestinal epithelial cells can lead to inflammation that is characterized also by infiltration into intestinal tissue of monocytes/macrophages. Current therapies for intestinal inflammation include anti-inflammatory, immunosuppressive and biological drugs. Ozoile (stable ozonides) has been reported to exert [...] Read more.
Inappropriate activation of immune functions in intestinal epithelial cells can lead to inflammation that is characterized also by infiltration into intestinal tissue of monocytes/macrophages. Current therapies for intestinal inflammation include anti-inflammatory, immunosuppressive and biological drugs. Ozoile (stable ozonides) has been reported to exert anti-inflammatory effects. However, ozonated oil has been used mainly for topical applications and no data are available about its effects on intestinal cells or immune cells. In this study, we evaluated Ozoile effects on human HT-29 colonic cells and THP-1 monocytic cells stimulated with LPS to induce inflammation. HT-29 and THP-1 cells were treated with LPS in the presence/absence of Ozoile for 4 h. Biomarkers of inflammation, some members of tight junctions and the adhesion molecule ICAM were assessed by qRT-PCR. Protein expression was analyzed by Western blotting. The release of TNF-α and IL-1β was measured by ELISA. In HT-29, Ozoile inhibited LPS-induced expression of TNF-α, IL-1β, ZO-1, CLDN1, NOS2 and MMP-2 and increased the expression of Nrf2 and SOD2 antioxidant proteins. In THP-1 cells, the LPS induction of TNF-α, IL-1β and ICAM was counteracted by Ozoile treatment. Our in vitro results demonstrate the effectiveness of Ozoile in reducing the inflammatory response in intestinal and monocytic cells. Further in vivo studies are necessary to confirm its possible use for intestinal inflammatory conditions. Full article
(This article belongs to the Special Issue Bioactives and Inflammation)
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<p>Effects of Ozoile (OZ) on HT-29 (<b>A</b>) and THP-1 (<b>B</b>) cell viability in the presence or absence of LPS (1 µg/mL). Different concentrations of Ozoile (0.1, 0.5, 1 and 2 mg/mL) were added to the culture medium 30 min before LPS treatment (1 µg/mL for 4 h), and then cell viability was assessed by the MTT test. Results are expressed as percentages relative to untreated cells. Data are means ± SEM from five independent experiments.</p>
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<p>Effects of Ozoile (OZ) on cytokine gene expression (<b>A</b>) and release (<b>B</b>,<b>C</b>) in HT-29 cells stimulated with LPS. (<b>A</b>) HT-29 cells were treated with different concentrations of Ozoile (0.1, 0.5 and 1 mg/mL) 30 min before LPS treatment (1 µg/mL for 4 h). The mRNA transcript levels of TNF-α and IL-1β were analyzed by real-time PCR. (<b>B</b>,<b>C</b>) Cytokine release into culture medium was measured by ELISA. Data are expressed as means ± SEM from three independent experiments. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 and *** <span class="html-italic">p</span> &lt; 0.001 indicate significant differences vs. control cells. <sup>§</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>§§</sup> <span class="html-italic">p</span> &lt; 0.01 and <sup>§§§</sup> <span class="html-italic">p</span> &lt; 0.001 indicate significant differences vs. LPS-treated cells.</p>
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<p>Effects of Ozoile (OZ) on IL-4 gene expression in HT-29 cells stimulated with LPS. HT-29 cells were treated with different concentrations of Ozoile (0.1, 0.5 and 1 mg/mL) 30 min before LPS exposure (1 µg/mL for 4 h). The mRNA transcript levels were analyzed by real-time PCR. Data are expressed as means ± SEM from three independent experiments. * <span class="html-italic">p</span> &lt; 0.05 indicates a significant difference vs. control cells. <sup>§</sup> <span class="html-italic">p</span> &lt; 0.05 indicates a significant difference vs. LPS-treated cells.</p>
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<p>Effects of Ozoile (OZ) on ZO-1 and CLDN1 gene expression in HT-29 cells stimulated with LPS. HT-29 cells were treated with 1 mg/mL of Ozoile 30 min before LPS treatment (1 µg/mL for 4 h). The mRNA transcript levels were analyzed by real-time PCR. Data are expressed as means ± SEM from three independent experiments. * <span class="html-italic">p</span> &lt; 0.05 and *** <span class="html-italic">p</span> &lt; 0.001 indicate significant differences vs. control cells. <sup>§§</sup> <span class="html-italic">p</span> &lt; 0.01 and <sup>§§§</sup> <span class="html-italic">p</span> &lt;0.001 indicate significant differences vs. LPS-treated cells.</p>
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<p>Effects of Ozoile (OZ) on NOS2 (<b>A</b>) and MMP2 (<b>B</b>) gene expression in HT-29 cells stimulated with LPS. HT-29 cells were treated with different concentrations of Ozoile (0.1, 0.5 and 1 mg/mL) 30 min before LPS treatment (1 µg/mL for 4 h). The mRNA transcript levels of NOS2 and MMP2 were analyzed by real-time PCR. Data are expressed as means ± SEM from three independent experiments. *** <span class="html-italic">p</span> &lt; 0.001 indicates a significant difference vs. control cells. <sup>§§§</sup> <span class="html-italic">p</span> &lt; 0.001 indicates a significant difference vs. LPS-treated cells.</p>
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<p>Evaluation of NOS2, MMP2, SOD2 (<b>A</b>) and Nrf2 (<b>E</b>) protein expression by Western blotting in HT-29 cells treated with different concentrations of Ozoile (0.1, 0.5 and 1 mg/mL), added 30 min before LPS treatment (1 µg/mL for 4 h). Densitometric analysis of NOS2 (<b>B</b>), MMP2 (<b>C</b>) and SOD2 (<b>D</b>) after normalization against β-actin and of Nrf2 (<b>F</b>) after normalization against laminin. The results are expressed as means ± SEM from three independent experiments. * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 indicate significant differences vs. control cells.</p>
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<p>Effects of Ozoile (OZ) on TNF-α and IL-1β gene expression (<b>A</b>) and release (<b>B</b>,<b>C</b>) in THP-1 cells stimulated with LPS. (<b>A</b>) THP-1 cells were treated with different concentrations of Ozoile (0.1, 0.5 and 1 mg/mL) before LPS treatment (1 µg/mL for 4 h). The mRNA transcript levels were analyzed by real-time PCR. (<b>B</b>,<b>C</b>) Cytokine release into the culture medium was measured by ELISA. Data are expressed as means ± SEM from three independent experiments. ** <span class="html-italic">p</span> &lt; 0.01 and *** <span class="html-italic">p</span> &lt; 0.001 indicate significant differences vs. control cells. <sup>§§§</sup> <span class="html-italic">p</span> &lt; 0.001 indicates a significant difference vs. LPS-treated cells.</p>
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<p>Effects of Ozoile (OZ) on IL-4 gene expression in THP-1 cells stimulated with LPS. THP-1 cells were treated with different concentrations of Ozoile (0.1, 0.5 and 1 mg/mL) 30 min before LPS exposure (1 µg/mL for 4 h). The mRNA transcript levels were analyzed by real-time PCR. Data are expressed as means ± SEM from three independent experiments. ** <span class="html-italic">p</span> &lt; 0.01 indicates a significant difference vs. control cells. <sup>§</sup> <span class="html-italic">p</span> &lt; 0.05 and <sup>§§§</sup> <span class="html-italic">p</span> &lt; 0.001 indicate significant differences vs. LPS-treated cells.</p>
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<p>Effects of Ozoile (OZ) on ICAM gene expression in THP-1 cells stimulated with LPS. THP-1 cells were treated with different concentrations of Ozoile (0.1, 0.5 and 1 mg/mL) before LPS treatment (1 µg/mL for 4 h). The mRNA transcript levels were analyzed by real-time PCR. Data are expressed as means ± SEM from three independent experiments. *** <span class="html-italic">p</span> &lt; 0.001 indicates a significant difference vs. control cells. <sup>§</sup> <span class="html-italic">p</span> &lt; 0.05 and <sup>§§</sup> <span class="html-italic">p</span> &lt; 0.01 indicate significant differences vs. LPS-treated cells.</p>
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19 pages, 6027 KiB  
Article
Network Pharmacological Analysis of a New Herbal Combination Targeting Hyperlipidemia and Efficacy Validation In Vitro
by Tae-Hyoung Kim, Ga-Ram Yu, Hyuck Kim, Jai-Eun Kim, Dong-Woo Lim and Won-Hwan Park
Curr. Issues Mol. Biol. 2023, 45(2), 1314-1332; https://doi.org/10.3390/cimb45020086 - 4 Feb 2023
Cited by 8 | Viewed by 3425
Abstract
The network pharmacology (NP) approach is a valuable novel methodology for understanding the complex pharmacological mechanisms of medicinal herbs. In addition, various in silico analysis techniques combined with the NP can improve the understanding of various issues used in natural product research. This [...] Read more.
The network pharmacology (NP) approach is a valuable novel methodology for understanding the complex pharmacological mechanisms of medicinal herbs. In addition, various in silico analysis techniques combined with the NP can improve the understanding of various issues used in natural product research. This study assessed the therapeutic effects of Arum ternata (AT), Poria cocos (PC), and Zingiber officinale (ZO) on hyperlipidemia after network pharmacologic analysis. A protein–protein interaction (PPI) network of forty-one key targets was analyzed to discover core functional clusters of the herbal compounds. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and gene ontology (GO) term enrichment analysis identified significant categories of hypolipidemic mechanisms. The STITCH database indicated a high connection with several statin drugs, deduced by the similarity in targets. AT, PC, and ZO regulated the genes related to the energy metabolism and lipogenesis in HepG2 cells loaded with free fatty acids (FFAs). Furthermore, the mixture of three herbs had a combinational effect. The herbal combination exerted superior efficacy compared to a single herb, particularly in regulating acetyl-CoA carboxylase (ACC) and carnitine palmitoyltransferase 1 (CPT-1). In conclusion, the network pharmacologic approach was used to assess potential targets of the herbal combination for treatment. Experimental data from FFA-induced HepG2 cells suggested that the combination of AT, PC, and ZO might attenuate hyperlipidemia and its associated hepatic steatosis. Full article
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<p>Venn diagrams of the compounds and target genes from the herbal combination. (<b>A</b>) Distribution of potential compounds from PC, AT, and ZO. (<b>B</b>) Target of potential form PC, AT, and ZO (<b>C</b>) Hyperlipidemia-related target genes from two web databases. (<b>D</b>) Dyslipidemia-related common target genes from both web databases and TCMSP.</p>
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<p>(<b>A</b>) Full protein–protein interaction network of 41 hyperlipidemia-related target genes from the herbal combination. (<b>B</b>,<b>C</b>) Functional cluster of full PPI network created from MCODE of Cytoscape.</p>
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<p>Visualization of the compounds–targets–pathways network constructed with the components of the herbal combination.</p>
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<p>Visualization of the KEGG pathways and targets of the herbal combination analyzed by ClueGO and CluePedia. (<b>A</b>) Visualization of significantly enriched KEGG pathways and their genes (created with ClueGO) (<b>B</b>) Cerebral layout of significant KEGG pathways and their genes by their cellular compartment (created with CluePedia).</p>
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<p>Bubble plot visualization of enrichment analysis (BP terms and KEGG pathways) from two target clusters from the herbal combination. Significant (<b>A</b>) BP terms and (<b>B</b>) KEGG pathways of target cluster 1. Significant (<b>C</b>) BP terms and (<b>D</b>) KEGG pathways of target cluster 2.</p>
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<p>Visualization of the target–chemical interaction of targets from cluster 1 using the STITCH database.</p>
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<p>AT, PC, ZO, and MIX stimulate ACC, AMPK, and AKT phosphorylation in FFA-induced hepatic steatosis and activate CPT-1 related to fatty acid oxidation. HepG2 cells were incubated in the absence or presence of FFAs (1 mM) with AT, PC, ZO, and MIX for 24 h. (<b>A</b>) HepG2 cells were treated with various concentrations (0–50 µg/mL) of AT, PC, ZO, and MIX for 24 h. The results are presented as means ± SDs of the percentages determined by three independent experiments versus the non-treated controls. (<b>B</b>) HepG2 cells were co-treated with each sample and FFAs for 24 h. Western blot analysis shows the effect on the phosphorylation of ACC and AMPK and AKT protein expression related to the energy metabolism and lipogenesis in FFA-induced hepatic steatosis HepG2 cells. The band intensities were measured by densitometry and normalized versus the intensities of the total forms and β-actin. The results are presented as the means ± SDs of three independent experiments. # <span class="html-italic">p</span> &lt; 0.05 versus FFA-treated controls, and * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 versus FFA-treated HepG2 cells.</p>
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<p>AT, PC, ZO, and MIX ameliorate lipogenesis in FFA-induced hepatic steatosis HepG2 cells. HepG2 cells were incubated in the absence or presence of FFAs (1 mM) with AT, PC, ZO, and MIX for six or 48 h. (<b>A</b>) Relative expressions of CEBPA, PPARγ, ACC, and HMGCR genes were determined by qPCR. (<b>B</b>) The impact on lipid accumulation was evaluated by measuring Oil Red O staining and comparing the microscopic images. Representative images (100×) of lipid accumulation via Oil Red O staining in HepG2 cells under different conditions. The results are presented as the means ± SDs of three independent experiments. # <span class="html-italic">p</span> &lt; 0.05, ## <span class="html-italic">p</span> &lt; 0.01 versus the FFA-treated controls, and * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 versus FFA-treated HepG2 cells.</p>
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Article
Prophylaxis of Antifungal Drugs against Systemic Fungemia induced by Oral Candidiasis in Mice
by Kazunori Ninomiya, Hiroki Katagiri, Hajime Hara, Kayoko Fukui, Maiko Haga-Tsujimura, Ken Nakahara and Kenjirou Nakamura
Curr. Issues Mol. Biol. 2023, 45(2), 1306-1313; https://doi.org/10.3390/cimb45020085 - 4 Feb 2023
Cited by 1 | Viewed by 1764
Abstract
Oral mucositis is highly prevalent among the elderly, for whom oral care is often difficult. Oral mucositis, such as candidiasis, can induce systemic fungemia. Antifungal prophylaxis may be useful in such cases to prevent systemic fungemia; however, studies on this are limited. The [...] Read more.
Oral mucositis is highly prevalent among the elderly, for whom oral care is often difficult. Oral mucositis, such as candidiasis, can induce systemic fungemia. Antifungal prophylaxis may be useful in such cases to prevent systemic fungemia; however, studies on this are limited. The objective of this study was to demonstrate the effectiveness of antifungal prophylaxis to prevent systemic Candida dissemination compared to oral care using a mice model. Oral candidiasis was induced using chemotherapy and inoculation with C. albicans in 8-week-old male mice. Group A was given oral care, Group B was orally administered an antifungal drug, Group C was intravenously administered an antifungal drug, and Group D was used as the negative control group. Macroscopic features of the tongue surface, colony forming units (CFU) on the tongue, and blood culture for C. albicans were evaluated. CFU was significantly higher in Group A than in Groups B and C. The oral care group, but not the groups administered antifungal agents, showed significantly higher positive numbers of animals with C. albicans in the blood as compared to the control group, indicating the effectiveness of antifungal prophylaxis over oral care. Antifungal prophylaxis may be an option for the prevention of systemic fungemia in individuals with difficulty in oral care. Full article
(This article belongs to the Special Issue Advances in Research on Molecular Oral Microorganisms)
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<p>Experimental schedule.</p>
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<p>Macroscopic pictures of the tongue. (<b>a</b>) Group A: The presence of clinical oral candidiasis and food residue (circle). (<b>b</b>) Group B: A decrease in white patches on the tongue was observed compared to Group A. (<b>c</b>) Group C: The oral mucositis was decreased as compared to Group A and Group B. (<b>d</b>) Group D: The tongue of the negative control group.</p>
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<p>Colony forming Unit (CFU) counts in the tongue. The CFU counts were obtained in Group A. Between Groups A and B, Groups A and C were statistically significant (** <span class="html-italic">p</span> &lt; 0.01). There was no significant difference between Groups B and C.</p>
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<p>Positive results of multiplex PCR for blood cultures. The 615 bp band specifically identifies <span class="html-italic">Candida albicans</span> among <span class="html-italic">Candida</span> spp. Lane −: negative control (buffer), lane +: positive control (<span class="html-italic">C. albicans</span>).</p>
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<p>Results of nested PCR. Lane (<b>a</b>): negative control (buffer), lane (<b>b</b>): positive control (<span class="html-italic">C. albicans</span>); the lane to the right indicates positive (+) or negative (−). All specimens from the blood, the tongue, the liver, and the kidney were negative for <span class="html-italic">C. albicans</span>, indicating that there was no contamination of the experimental environment and experimental animals.</p>
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