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17 pages, 5181 KiB  
Article
Exploring Potential Impact of Graphene Oxide and Graphene Oxide-Polyethylenimine on Biological Behavior of Human Amniotic Fluid-Derived Stem Cells
by Andrea Di Credico, Giulia Gaggi, Sandra Bibbò, Serena Pilato, Samanta Moffa, Stefano Di Giacomo, Gabriella Siani, Antonella Fontana, Fani Konstantinidou, Marisa Donato, Liborio Stuppia, Valentina Gatta, Angela Di Baldassarre and Barbara Ghinassi
Int. J. Mol. Sci. 2024, 25(24), 13598; https://doi.org/10.3390/ijms252413598 (registering DOI) - 19 Dec 2024
Viewed by 78
Abstract
Regenerative medicine and tissue engineering aim to restore or replace impaired organs and tissues using cell transplantation supported by scaffolds. Recently scientists are focusing on developing new biomaterials that optimize cellular attachment, migration, proliferation, and differentiation. Nanoparticles, such as graphene oxide (GO), have [...] Read more.
Regenerative medicine and tissue engineering aim to restore or replace impaired organs and tissues using cell transplantation supported by scaffolds. Recently scientists are focusing on developing new biomaterials that optimize cellular attachment, migration, proliferation, and differentiation. Nanoparticles, such as graphene oxide (GO), have emerged as versatile materials due to their high surface-to-volume ratio and unique chemical properties, such as electrical conductivity and flexibility. However, GO faces challenges such as cytotoxicity at high concentrations, a negative surface charge, and potential inflammatory responses; for these reasons, variations in synthesis have been studied. A GO derivative, Graphene Oxide-Polyethylenimine (GO-PEI), shows controlled porosity and structural definition, potentially offering better support for cell growth. Human amniotic fluid stem cells (hAFSCs) are a promising candidate for regenerative medicine due to their ability to differentiate into mesodermic and ectodermic lineages, their non-immunogenic nature, and ease of isolation. This study investigates the effects of GO and GO-PEI on hAFSCs, focusing on the effects on adhesion, proliferation, and metabolic features. Results indicate that GO-PEI restores cell proliferation and mitochondrial activity to control levels, with respect to GO that appeared less biocompatible. Both materials also influence the miRNA cargo of hAFSC-derived microvesicles, potentially influencing also cell-to-cell communication. Full article
(This article belongs to the Special Issue Biofunctional Coatings for Medical Applications)
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Figure 1

Figure 1
<p>Representation of functionalization route of glass coverslips with GO and PEI and hAFSCs culture on GO-PEI substrates.</p>
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<p>AFM images of surface topography and Raman mapping of (<b>A</b>,<b>B</b>) GO functionalized coverslip and (<b>C</b>,<b>D</b>) GO-PEI functionalized coverslip; (<b>E</b>) overlayed Raman spectra of 400 µm<sup>2</sup> area of GO-coated glass coverslip; and (<b>F</b>) overlayed Raman spectra of 400 µm<sup>2</sup> area of GO-PEI-coated glass coverslip. In AFM micrographs, color represents the height of deposited materials with height increasing from brown dots to white dots. In Raman mapping, intensity of G peak, corresponding to GO concentration, increases when passing from black to yellow regions. (<b>G</b>) FTIR spectra of glass coverslip (black line), GO-functionalized coverslip (red line), and GO-PEI coverslip (green line).</p>
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<p>Effect of GO and GO-PEI on cellular adhesion and proliferation. (<b>A</b>) Cellular attachment on different types of supports, as indicated, was evaluated 24 h after seeding. Cells were fixed and nuclei were counterstained with Hoechst 33342 (blue). Magnification 20×, scale bar 100 µm. Histogram showed number of nuclei counted for each condition. Data expressed as mean ± SD. (<b>B</b>,<b>C</b>) Immunohistochemical detection of Ki67 (green fluorescence) at 48 h and 120 h after seeding, as indicated. Nuclei were counterstained with DAPI (blue). Magnification 20×, scale bar 100 µm. Histogram indicates % of Ki67<sup>+</sup> nuclei in different experimental conditions, as indicated. Data expressed as mean ± SD. * <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.</p>
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<p>Effect of GO and GO-PEI on MMP. Detection of MMP (red fluorescence) 48 h after seeding for each condition. Nuclei were counterstained with DAPI (blue). Original magnification: 20×, scale bar 100 µm. Histogram indicates fluorescent intensity normalized by number of nuclei in each field. Data expressed as mean ± SD.</p>
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<p>Protein expression of mitochondrial respiratory chain complexes. (<b>A</b>) Representative Western blot showing changes in expression of (OXPHOS) proteins 48 h from seeding in different conditions, as indicated. (<b>B</b>) Histograms show quantification of each protein, normalized on cellular total protein content. Data expressed as mean ± SD (<span class="html-italic">n</span> = 4) * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>GO and GO-PEI substrates influence miRNA cargo of MPs released from hAFSCs. (<b>A</b>) miRNAs present in MPs from hAFSCs cultured in CTRL, GO, and GO-PEI; or (<b>B</b>) miRNAs present only in MPs from hAFSCs cultured on CTRL and GO or GO-PEI substrates. Fold changes were obtained using ΔΔCT method and normalized on CTRL condition. Data presented as mean ± SD of three independent experiments, * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, *** <span class="html-italic">p</span> ≤ 0.001.</p>
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11 pages, 1161 KiB  
Article
Impact of a Plant Sterol Food Supplement on Eryptotic and Associated Cardiometabolic Parameters: A Randomized Placebo-Controlled Trial in Statin-Treated Patients
by Diego Miedes, Raquel Ortega-Luna, Sonia Broseta, Sergio Martínez-Hervás, Ángeles Álvarez-Ribelles, Víctor Collado-Díaz, Antonio Cilla and Amparo Alegría
Foods 2024, 13(24), 4108; https://doi.org/10.3390/foods13244108 (registering DOI) - 19 Dec 2024
Viewed by 170
Abstract
Eryptotic erythrocytes are prone to adhere to the vascular endothelium, provoking atherosclerosis. As statins do not prevent eryptosis compounds with anti-eryptotic effects could help treated hypercholesterolemic subjects in decreasing cardiovascular disease risk. Plant sterols (PSs) have shown this anti-eryptotic effect ex vivo, along [...] Read more.
Eryptotic erythrocytes are prone to adhere to the vascular endothelium, provoking atherosclerosis. As statins do not prevent eryptosis compounds with anti-eryptotic effects could help treated hypercholesterolemic subjects in decreasing cardiovascular disease risk. Plant sterols (PSs) have shown this anti-eryptotic effect ex vivo, along with their cholesterol-lowering activity. A parallel double-blind placebo-controlled randomized trial was conducted using a PS-food supplement (2 g of PS/day) (case, n = 13) or a placebo supplement (control, n = 13) in statin-treated hypercholesterolemic subjects. Blood samples were extracted before (T0) and after (T1) a 6-week treatment, and erythrocytes were isolated for biochemical determination, phosphatidylserine externalization (EPHS), cell size and reduced glutathione (GSH) analyses, and endothelium adhesion evaluation. A reduction in glucose (4.3%) and LDL cholesterol (9.2%) was observed only in the control group, whereas in the case group, an increase in ApoA1 (6.4%) was observed. Neither EPHS, cell size nor GSH were modified by the treatment with any of the supplements, whilst endothelium adhesion was reduced (55.1%) only in the case group. These results suggest that the PS supplement may improve some cardiovascular health parameters in the target population even though eryptosis status is not modified by this treatment. Full article
(This article belongs to the Section Nutraceuticals, Functional Foods, and Novel Foods)
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Figure 1

Figure 1
<p>Eryptosis and redox status before (T0) and after (T1) the treatment with placebo (control) or plant sterol-supplement (case) (<b>a</b>) Percentage of cells expressing phosphatidylserine externalization (EPHS); (<b>b</b>) Relative size of cells (FSC); (<b>c</b>) Levels of reduced glutathione (GSH). Results are expressed as mean ± standard deviation (n = 3).</p>
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<p>Adhesion of erythrocytes of hypercholesterolemic patients to the vascular endothelium before (T0) and after (T1) the treatment with placebo (control) or plant sterol-supplement (case). The results are expressed as mean ± standard deviation. * indicates differences between the basal and final measurement <span class="html-italic">(p</span> &lt; 0.05).</p>
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<p>(<b>a</b>) Correlation between adherence to the Mediterranean Diet and the change in EPHS; (<b>b</b>) correlation between the level of physical activity and the change in EPHS. (<b>c</b>) Correlation between adherence to the Mediterranean Diet and the change in adhesion to the endothelium; (<b>d</b>) correlation between the level of physical activity and the change in adhesion to the endothelium. EPHS: externalization of phosphatidylserine.</p>
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21 pages, 4320 KiB  
Article
Chlorogenic Acid: A Promising Strategy for Milk Preservation by Inhibiting Staphylococcus aureus Growth and Biofilm Formation
by Xiaoyan Yu, Yufang Li, Xue Yang, Jinze He, Wenhuan Tang, Yunmei Chai, Zuyan Duan, Wenjie Li, Dan Zhao, Xuefeng Wang, Aixiang Huang, Hong Li and Yanan Shi
Foods 2024, 13(24), 4104; https://doi.org/10.3390/foods13244104 (registering DOI) - 18 Dec 2024
Viewed by 314
Abstract
Chlorogenic acid (CGA), a polyhydroxy phenolic acid, has been extensively studied for its antimicrobial properties. Staphylococcus aureus (S. aureus) threatens food safety by forming biofilms. This study aimed to investigate the mechanism of CGA against S. aureus and its biofilm. The [...] Read more.
Chlorogenic acid (CGA), a polyhydroxy phenolic acid, has been extensively studied for its antimicrobial properties. Staphylococcus aureus (S. aureus) threatens food safety by forming biofilms. This study aimed to investigate the mechanism of CGA against S. aureus and its biofilm. The anti-bacterial activity of CGA was assessed using crystal violet staining, TEM, SEM, a CLSM, and using metabolomics and molecular docking to elucidate the mechanism. The results indicated that the minimum inhibitory concentration of CGA against S. aureus was 2.5 mg/mL. CGA disrupts the integrity of bacterial cell membranes, leading to increased hydrophobicity, morphological changes, scattering, and reduced spreading. This disruption decreases biofilm adhesion and bacterial count. Metabolomics and molecular docking analyses revealed that CGA down-regulates key amino acids. It forms hydrogen bonds with penicillin-binding protein 4 (PBP4), Amidase, glutamate synthetase B, and glutamate synthetase A. By inhibiting amino acid metabolism, CGA prevents biofilm formation. CGA interacts with amino acids such as aspartic acid, glutamine, and glutamate through hydroxyl (-OH) and carbonyl (-C=O) groups. This interaction reduces cell viability and biofilm cohesion. The novel findings of this study, particularly the extension of the shelf life of pasteurized milk by inhibiting S. aureus growth, highlight the potential of CGA as a promising anti-biofilm strategy and preservative in the dairy industry. Full article
(This article belongs to the Section Food Microbiology)
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Figure 1

Figure 1
<p>Antibacterial effect of CGA against <span class="html-italic">S. aureus</span> in the early stage of biofilm formation. (<b>A</b>) The MIC of CGA against <span class="html-italic">S. aureus</span> (** indicates a significant difference, <span class="html-italic">p</span> &lt; 0.05). (<b>B</b>) Effect of CGA on the growth of <span class="html-italic">S. aureus</span>. (<b>C</b>) Effect of CGA on the surface hydrophobicity of <span class="html-italic">S. aureus</span> cells (different lowercase letters on the column indicate that the difference is statistically significant, <span class="html-italic">p</span> &lt; 0.05). (<b>D</b>) SEM observation on the effect of CGA on the early biofilm of <span class="html-italic">S. aureus</span>. (<b>E</b>) TEM observation on the effect of CGA on the early biofilm of <span class="html-italic">S. aureus.</span> (<b>F</b>) Effect of CGA on the structure of early biofilm of <span class="html-italic">S. aureus</span>.</p>
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<p>Inhibitory activity of CGA on <span class="html-italic">S. aureus</span> biofilm. (<b>A</b>) Effect of CGA on the spreading of <span class="html-italic">S. aureus</span> cells in the early stage of biofilm formation. (<b>B</b>) The inhibitory activity of different concentrations of CGA on <span class="html-italic">S. aureus</span> biofilm formation. (<b>C</b>) The inhibition rate of different concentrations of CGA on <span class="html-italic">S. aureus</span> biofilm formation. (<b>D</b>) DAPI staining of <span class="html-italic">S. aureus</span> biofilms. (<b>E</b>) CLSM images of <span class="html-italic">S. aureus</span> biofilms. Different lowercase letters on the column indicate that the difference is statistically significant, <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>(<b>A</b>) Three-dimensional score scatter plot of PCA model. (<b>B</b>) The OPLS-DA model score scatter diagram. (<b>C</b>) The point diagram of the permutation test results of the OPLS-DA model. (The abscissa represents the permutation retention of the permutation test and the ordinate represents the R<sup>2</sup>Y or Q<sup>2</sup> value. The green dot represents the R<sup>2</sup>Y value obtained by the permutation test, the blue square point represents the Q<sup>2</sup> value obtained by the permutation test, and the two dashed lines represent the regression lines of R<sup>2</sup>Y and Q<sup>2</sup>.) (<b>D</b>) The histogram of permutation test results of the OPLS-DA model. (<b>E</b>) Volcano plot of the 349 differential metabolites between the control and CGA-treated groups. (<b>F</b>) Heat map of the 46 differential metabolites between the control and CGA-treated groups.</p>
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<p>(<b>A</b>) Metabolic pathway enrichment analysis of the differential metabolites in the control and CGA-treated groups. (<b>B</b>) Molecular docking analysis of CGA and key enzymes involved in biofilm formation.</p>
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<p>(<b>A</b>) Single-molecule electrostatic potential energy distribution maps of CGA and ASP, GLN, and GLU. (<b>B</b>) The electrostatic potential energy distribution of CGA and ASP, GLN, and GLU. Blue represents the positive potential region, and red represents the negative potential region.</p>
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<p>Effect of CGA on <span class="html-italic">S. aureus</span> in pasteurized milk. (<b>A</b>) The inhibitory effect of CGA on <span class="html-italic">S. aureus</span> in pasteurized milk. (<b>B</b>) The appearance map of CGA treatment (the upper right corner indicates the dilution ratio, ns, <span class="html-italic">p</span> &gt; 0.05, ** <span class="html-italic">p</span> ≤ 0.01 and *** <span class="html-italic">p</span> ≤ 0.001, compared with the control group).</p>
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24 pages, 3111 KiB  
Article
Effect of Seminal Plasma on the Freezability of Boar Sperm
by Kuanfeng Zhu, Yukun Song, Zhi He, Peng Wang, Xuguang Wang and Guoshi Liu
Animals 2024, 14(24), 3656; https://doi.org/10.3390/ani14243656 - 18 Dec 2024
Viewed by 207
Abstract
Background: Seminal plasma is an important component of semen and has a significant effect on sperm function. However, the relationship between seminal plasma and sperm freezing capacity has not been fully studied. Purpose: Exploring metabolites and proteins related to the boar sperm freezing [...] Read more.
Background: Seminal plasma is an important component of semen and has a significant effect on sperm function. However, the relationship between seminal plasma and sperm freezing capacity has not been fully studied. Purpose: Exploring metabolites and proteins related to the boar sperm freezing capacity in seminal plasma, by metabolomic and proteomic approaches, and directly verifying the protective effect of seminal plasma on the cryopreservation of boar sperm using high and low freezability seminal plasma as base freezing extender. Methods: Semen samples were collected from 30 different boars, 11 high and 11 low freezing-resistant boars were selected after freezing 2~4 times, and seminal plasma was selected at the same time. Sperm motility and movement parameters were analyzed using a CASA system. Reproductive hormones (Testosterone, progesterone, estradiol, prolactin, prostaglandin F2α, luteinoid hormone) in seminal plasma were detected by ELISA. Analysis of proteins and metabolites in high and low freezing-resistant seminal plasma by proteomics and metabolomics techniques. Results: The six reproductive hormones tested were not significantly associated with sperm freezing resistance. A total of 13 differentially expressed metabolites (DEMs) and 38 differentially expressed proteins (DEPs) were identified, while a total of 348 metabolites and 1000 proteins were identified. These DEMs were related to energy metabolism, drugs, or environmental pollutants, while the DEPs were mainly involved in the cytoskeletal dynamics and cell adhesion processes. There were 33 metabolites and 70 proteins significantly associated with mean progress motility (PM) at 10 min and 2 h after thawing. The 70 related proteins were associated with cell division and cycle regulation in gene ontology (GO) terms, as well as KEGG pathways, thermogeneration, and pyruvate metabolism. Using highly freezable boar SP as a base freezing extender made no difference from using lowly freezable boar SP, and both were not as good as the commercial control. Conclusion: There were significant differences in seminal plasma with different freezability, but the similarity was much greater than the difference. The protection effect of seminal plasma is not remarkable, and it does not exhibit superior cryoprotective properties compared to commercial semen cryoelongators. Significance: This study provides a deeper understanding of how seminal plasma composition affects sperm freezabilty. It provides potential biomarkers and targets for improving sperm cryopreservation techniques. Full article
(This article belongs to the Special Issue Advances in Animal Fertility Preservation—Second Edition)
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Figure 1

Figure 1
<p>Comparison of the motility of highly and lowly freezable groups before and after freezing. (<b>A</b>,<b>B</b>) PM and TM of groups H and L after pre-diluted before freezing. (<b>C</b>,<b>D</b>) PM and TM of groups H and L after thawing. H, high freezability. L, low freezability. PM, progress motility. TM, total motility. “ns”, not significant. “**” “***” means significant difference and “<span class="html-italic">p</span> &lt; 0.01” “<span class="html-italic">p</span> &lt; 0.001”, respectively. Sample size <span class="html-italic">n</span> = 11.</p>
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<p>Quality control and repeatability analysis of metabolome of highly and lowly freezable seminal plasma. (<b>A</b>) Principal component analysis (PCA) including samples and quality control group. (<b>B</b>) The relative standard deviation of samples. (<b>C</b>) PCA of group H and L. (<b>D</b>) Heatmap of relativity between samples. H, high freezability; L, low freezability. H1,H2,H3, samples of group H;L1, L2, L3, samples of group L. QC, quality control. Each sample was mixed with 3 boar seminal plasma samples with equal volume.</p>
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<p>Quality control and reproducibility analysis of the proteome of highly and lowly freezable seminal plasma. (<b>A</b>) Signal intensity distribution of samples. (<b>B</b>) Distribution of peptide lengths. (<b>C</b>) RSD of group H and L. (<b>D</b>) PCA of group H and L. (<b>E</b>) Heatmap of relativity between samples. (<b>F</b>) Number of identified peptides and proteins. H, high freezability group; L, low freezability group. H1, H2, H3, samples of group H; L1, L2, L3, samples of group L. Each sample was mixed with 3 boar seminal plasma samples with equal volume.</p>
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<p>Differential expressed proteins (DEPs) analysis and GO enrichment. (<b>A</b>) Volcano plot for DEPs screening. The top 5 upregulated proteins (URPs) (red dots) and downregulated proteins (DRPs) (blue dots) are labeled with Uniprot IDs. The thresholds of fold_change were set as 1.5 and 1/1.5. <span class="html-italic">p</span>-value &lt; 0.05 was defined as statistically significant. (<b>B</b>) Heatmap of DEP expression levels of each sample. (<b>C</b>) Number of regulated proteins. (<b>D</b>) GO_BP enrichment of DEPs. (<b>E</b>) GO_CC enrichment of DEPs. (<b>F</b>) GO_MF enrichment of DEPs. (<b>G</b>) Protein domain enrichment of DEPs. H, high freezability group; L, low freezability group. H1, H2, H3, samples of group H; L1, L2, L3, samples of group L. Each sample was mixed with 3 boar seminal plasma with equal volume.</p>
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<p>GO and KEGG pathway enrichment of proteins associated with mean PM (PAPMs) of 10 min and 2 h after thawing. (<b>A</b>) GO_BP enrichment of PAPMs. (<b>B</b>) GO_CC enrichment of PAPMs. (<b>C</b>) GO_MF enrichment of PAPMs. (<b>D</b>) Protein domain enrichment of PAPMs. (<b>E</b>) KEGG pathway enrichment of PAPMs.</p>
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<p>KEGG pathway enrichment in a combination of proteins and metabolites associated with mean PM of 10 min and 2 h after thawing.</p>
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<p>Effect of seminal plasma as base freezing extender on thawing motility and movement parameters of frozen semen. (<b>A</b>–<b>I</b>): TM, PM, ALH, VCL, VAP, VSL, STR, WOB and LIN at 10 min and 2 h after thawing of groups with different base freezing extender. H, high freezability seminal plasma (SP) group. L, low freezability SP group. PM, progress motility. TM, total motility. VCL, velocity of curve line. VSL velocity of straight line. VAP, velocity of path rate. ALH. Amplitude of lateral head. STR, straightness. WOB, wobble. LIN, linear. Individual boar differences were removed for all data. <span class="html-italic">n</span> = 20. “ns”, not significant. “*” “**” “***” “****” means significant difference with control and “<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” “<span class="html-italic">p</span> &lt; 0.0001”, respectively.</p>
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14 pages, 9305 KiB  
Article
Nitrogen-Doped Diamond-like Coatings for Long-Term Enhanced Cell Adhesion on Electrospun Poly(ε-caprolactone) Scaffold Surfaces
by Semen Goreninskii, Yuri Yuriev, Artem Runts, Elisaveta Prosetskaya, Evgeniy Melnik, Tuan-Hoang Tran, Elizaveta Sviridova, Alexey Golovkin, Alexander Mishanin and Evgeny Bolbasov
Polymers 2024, 16(24), 3524; https://doi.org/10.3390/polym16243524 - 18 Dec 2024
Viewed by 218
Abstract
Electrospun poly(ε-caprolactone) (PCL)-based scaffolds are widely used in tissue engineering. However, low cell adhesion remains the key drawback of PCL scaffolds. It is well known that nitrogen-doped diamond-like carbon (N-DLC) coatings deposited on the surface of various implants are able to enhance their [...] Read more.
Electrospun poly(ε-caprolactone) (PCL)-based scaffolds are widely used in tissue engineering. However, low cell adhesion remains the key drawback of PCL scaffolds. It is well known that nitrogen-doped diamond-like carbon (N-DLC) coatings deposited on the surface of various implants are able to enhance their biocompatibility and functional properties. Herein, we report the utilization of the pulsed vacuum arc deposition (PVAD) technique for the fabrication of thin N-DLC coatings on the surface of electrospun PCL scaffolds. The effect of N-DLC coating deposition under various nitrogen pressures on the morphological, mechanical, physico-chemical, and biological properties of PCL scaffolds was investigated. It was established that an increase in nitrogen pressure in the range from 5 × 10−3 to 5 × 10−1 Pa results in up to a 10-fold increase in the nitrogen content and a 2-fold increase in the roughness of the PCL fiber surface. These factors provided the conditions for the enhanced adhesion and proliferation of human mesenchymal stem cells (MMSCs) on the surface of the modified PCL scaffolds. Importantly, the preservation of N-DLC coating properties determines the shelf life of a coated medical device. The elemental composition, tensile strength, and surface human MMSC adhesion were studied immediately after fabrication and after 6 months of storage under normal conditions. The enhanced MMSC adhesion was preserved after 6 months of storage of the modified PCL-based scaffolds under normal conditions. Full article
(This article belongs to the Special Issue Development and Application of Polymer Scaffolds, 2nd Volume)
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Graphical abstract

Graphical abstract
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<p>SEM images of the scaffolds and AFM images of the fiber surfaces.</p>
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<p>Average fiber diameter, root mean square roughness, coating thickness, tensile strength, and elongation of the scaffolds with N-DLC coatings deposited under various nitrogen pressures. *—<span class="html-italic">p</span> &lt; 0.05, statistically significant compared to the control (Kruskal–Wallis test); **—<span class="html-italic">p</span> &lt; 0.05, statistically significant compared to the group coated under nitrogen pressure of 5 × 10<sup>−3</sup> Pa (Kruskal–Wallis test).</p>
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<p>Elemental composition of the scaffold surfaces immediately after the deposition of N-DLC coatings (undashed bars) and after 6 months of storage (dashed bars). *—<span class="html-italic">p</span> &lt; 0.05, statistically significant compared to the control (Kruskal–Wallis test); **—<span class="html-italic">p</span> &lt; 0.05, statistically significant compared to the group coated under nitrogen pressure of 5 × 10<sup>−3</sup> Pa (Kruskal–Wallis test).</p>
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<p>MMSCs adhered to the surface of the fabricated scaffolds (×40 magnification). (<b>Left</b>) column—the cells cultured on the samples immediately after N-DLC coating deposition, (<b>right</b>) column—the cells cultured on the samples stored for 6 months. Cells cytoplasm stained in red, cells nuclei stained in purple blue.</p>
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<p>The density and morphology of MMSCs adhered to the surface of electrospun PCL scaffolds with N-DLC coatings deposited under various nitrogen pressures immediately after the deposition of N-DLC coatings (undashed bars) and after 6 months of storage (dashed bars). *—<span class="html-italic">p</span> &lt; 0.05, statistically significant compared to control (Mann–Whitney test).</p>
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<p>Typical stress–strain curves of the uncoated and coated scaffolds immediately after the coating deposition (<b>a</b>) and after 6 months of storage (<b>b</b>).</p>
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21 pages, 1976 KiB  
Article
Effects of Several Bile Acids on the Production of Virulence Factors by Pseudomonas aeruginosa
by Noureddine Lomri and Christian Hulen
Life 2024, 14(12), 1676; https://doi.org/10.3390/life14121676 - 18 Dec 2024
Viewed by 208
Abstract
The presence of bile acids in the cystic fibrosis patient’s lungs contributes to an increase in the inflammatory response, in the dominance of pathogens, as well as in the decline in lung function, increasing morbidity. The aim of this study is to determine [...] Read more.
The presence of bile acids in the cystic fibrosis patient’s lungs contributes to an increase in the inflammatory response, in the dominance of pathogens, as well as in the decline in lung function, increasing morbidity. The aim of this study is to determine the effects of exposure of Pseudomonas aeruginosa to primary and secondary bile acids on the production of several virulence factors which are involved in its pathogenic power. The presence of bile acids in the bacterial culture medium had no effect on growth up to a concentration of 1 mM. However, a slight decrease in the adhesion index as well as a reduction in the virulence of the bacteria on the HT29 cell line could be observed. In this model, exposure of P. aeruginosa to bile acids showed a significant decrease in the production of LasB and AprA proteases due to the reduction in the expression of their genes. A decrease in pyocyanin production was also observed in relation to the effects of bile acids on the quorum sensing regulators. In order to have an effect on gene expression, it is necessary for bile acids to enter the bacteria. P. aeruginosa harbors two potential homologs of the eukaryotic genes encoding the bile acid transporters NTCP1 and NTCP2 that are expressed in hepatocytes and enterocytes, respectively. By carrying out a comparative BLAST-P between the amino acid sequences of the PAO1 proteins and those of NTCP1 and NTCP2, we identified the products of the PA1650 and PA3264 genes as the unique homologs of the two eukaryotic genes. Exposure of the mutant in the PA1650 gene to chenodeoxycholic acid (CDCA) and lithocholic acid (LCA) showed a less significant effect on pyocyanin production than with the isogenic PAO1 strain. Also, no effect of CDCA on the PA3264 gene mutant was observed. This result indicated that CDCA should enter the bacteria by the transporter produced by this gene. The entry of LCA into bacteria seemed more complex and rather responded to a multifactorial system involving the product of the PA1650 gene but also the products of other genes encoding potential transporters. Full article
(This article belongs to the Section Microbiology)
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<p>Bile acids used in this study.</p>
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<p>Effects of 24 h exposure to increasing CDCA, GDCA, and LCA concentrations on the growth of <span class="html-italic">P. aeruginosa</span> PAO1. Bacteria were grown for 24 h in a 96-well plate containing increasing concentrations of bile acids at 37 °C in a wet chamber. The absorbance at 595 nm is measured in a µQuant plate reader at t<sub>0</sub> and at t<sub>24</sub>. The average of the absorbance at 24 h in the wells with bile acid was calculated and compared to the average of the absorbance values in the absence of bile acid. The relative growth value with its standard deviation was then plotted as a function of the bile acid concentration in the wells. Results are the mean values of three independent experiments.</p>
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<p>Percentage of HT29 cells surviving after 48 h of exposure to PAO1 culture supernatants treated or not with bile acids. PAO1 was grown for 24 h at 37 °C with shaking in 25 mL LB medium in the presence or absence of 1 mM bile acids. After centrifugation of the bacteria, the supernatants were concentrated twice in a dialysis hose on a PEG bed. Increasing amounts of supernatants from 0.1 to 100 µL were added to confluent HT29 cells and incubated for 48 h at 37 °C in a CO<sub>2</sub> incubator. Then, the cells were washed gently with DMEM medium and the adherent cells were stained with 0.1% crystal violet. After removal of the dye, the adherent cells were washed then lysed with 1% SDS. The absorbance at 595 nm was measured in a plate reader and the absorbance values of the wells containing the supernatants of the bile acid-treated bacteria compared to those obtained with the supernatants of the untreated bacteria were measured. Mean values with SD reported in the figure were obtained by the average of the values resulting from three independent experiments carried out under the same conditions.</p>
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<p>Measurement of <span class="html-italic">P. aeruginosa</span> virulence on HT29 cells after treatment of the bacteria with bile acids. PAO1 was grown for 24 h at 37 °C with shaking in LB medium in the presence or absence of 1 mM bile acids. After centrifugation, 5 × 10<sup>8</sup> bacteria were suspended in 1 mL unsupplemented DMEM and added to confluent HT29 cells in a 24-well plate and incubated for 4 h at 37 °C with 5% CO<sub>2</sub>. Then, the cells were washed gently with unsupplemented DMEM medium and the adherent cells were stained with 0.1% crystal violet. After removal of the dye, the adherent cells were washed, and then lysed with 1% SDS. Absorbance at 595 nm was measured in a plate reader. The mean value with the SD for untreated bacteria was compared to the mean values of treated bacteria to determine the percentage of surviving cells. The <span class="html-italic">p</span>-values associated with each percentage of inhibition were obtained by the Fisher–Snedecor variance analysis test (*** <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.1).</p>
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<p>Visualization on 1.2% agarose gel of the RT-PCR products (20 cycles) of the genes encoding elastase (<span class="html-italic">las</span>B: amplicon 261 bp), pseudaminidase (<span class="html-italic">nan</span>A: amplicon 893 bp) gel 1, and alkaline protease (<span class="html-italic">apr</span>A: amplicon 488 bp) gel 2, following the treatments of bacteria with 1 mM bile acids.</p>
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15 pages, 3500 KiB  
Article
α-Synuclein Deletion Impairs Platelet Function: A Role for SNARE Complex Assembly
by Christopher Sennett, Wanzhu Jia, Jawad S. Khalil, Matthew S. Hindle, Charlie Coupland, Simon D. J. Calaminus, Julian D. Langer, Sean Frost, Khalid M. Naseem, Francisco Rivero, Natalia Ninkina, Vladimir Buchman and Ahmed Aburima
Cells 2024, 13(24), 2089; https://doi.org/10.3390/cells13242089 - 17 Dec 2024
Viewed by 268
Abstract
Granule secretion is an essential platelet function that contributes not only to haemostasis but also to wound healing, inflammation, and atherosclerosis. Granule secretion from platelets is facilitated, at least in part, by Soluble N-ethylmaleimide-Sensitive Factor (NSF) Attachment Protein Receptor (SNARE) complex-mediated granule fusion. [...] Read more.
Granule secretion is an essential platelet function that contributes not only to haemostasis but also to wound healing, inflammation, and atherosclerosis. Granule secretion from platelets is facilitated, at least in part, by Soluble N-ethylmaleimide-Sensitive Factor (NSF) Attachment Protein Receptor (SNARE) complex-mediated granule fusion. Although α-synuclein is a protein known to modulate the assembly of the SNARE complex in other cells, its role in platelet function remains poorly understood. In this study, we provide evidence that α-synuclein is critical for haemostasis using α-synuclein-deficient (−/−) mice. The genetic deletion of α-synuclein resulted in impaired platelet aggregation, secretion, and adhesion in vitro. In vivo haemostasis models showed that α-synuclein−/− mice had prolonged bleeding times and activated partial thromboplastin times (aPTTs). Mechanistically, platelet activation induced α-synuclein serine (ser) 129 phosphorylation and re-localisation to the platelet membrane, accompanied by an increased association with VAMP 8, syntaxin 4, and syntaxin 11. This phosphorylation was calcium (Ca2+)- and RhoA/ROCK-dependent and was inhibited by prostacyclin (PGI2). Our data suggest that α-synuclein regulates platelet secretion by facilitating SNARE complex formation. Full article
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<p>α-synuclein deficiency prolongs bleeding time. (<b>a</b>) Animals were scored after cessation of tail bleeding for 1 min. Experiment was stopped after 30 min if no cessation of blood flow occurred. Data are presented in scatter plot; each dot represents individual animal, and lines indicate mean and SEM. +/+ denotes WT, and −/− denotes α-synuclein<sup>−/−</sup> mice. Prothrombin time (<b>b</b>) and activated partial thromboplastin time (<b>c</b>) were measured in PPP. Data are presented as mean ± SEM. NS, not significant; ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 compared with WT, Mann–Whitney U test.</p>
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<p>α-synuclein deficiency inhibits platelet granule secretion. Platelet-rich plasma (PRP) from WT (black bars) and α-synuclein<sup>−/−</sup> (white bars) mice were stimulated with thrombin (0.025–0.1 U/mL) for 20 min, and platelet alpha-granule (<b>a</b>), dense granule (<b>b</b>), and lysosome (<b>c</b>) secretion was assessed by using flow cytometry. Median fluorescence intensity (MFI) is presented as mean ± SEM. (<b>d</b>) t-Distributed Stochastic Neighbourhood Embedding (t-SNE) analysis was performed on flow cytometry data to visualise subpopulations of platelets based on granule secretion markers in WT (+/+) and α-synuclein<sup>−/−</sup> (−/−) platelets after stimulation with thrombin (0.1 U/mL). Heatmaps represent median fluorescence intensity (MFI) for CD62p (left column), CD63 (middle column), and LAMP-1 (right column). * <span class="html-italic">p</span> &lt; 0.05, Mann–Whitney U test.</p>
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<p>α-synuclein deficiency impairs platelet aggregation. WPs (3 × 10<sup>8</sup> platelets/mL) from WT and α-synuclein<sup>−/−</sup> mice were stimulated with thrombin (<b>a</b>), collagen (<b>b</b>), or U46619 (<b>c</b>) at indicated concentrations, and platelet aggregation was measured under constant stirring (1000 rpm) at 37 °C for 5 min by Born aggregometry. Representative traces (<b>i</b>,<b>ii</b>) and percent aggregation (<b>iii</b>). Percent aggregation is presented as mean ± SEM of n = 5. NS, not significant; * <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 compared with WT platelets, Mann–Whitney U test.</p>
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<p>α-synuclein deficiency impairs thrombus formation in vitro. (<b>ai</b>) Adhesion of washed platelets to glass coverslips coated with collagen (100 µg/mL). Adherent platelets were fixed, permeabilised, and stained with TRITC-phalloidin. Images were acquired with fluorescence microscope equipped with structured illumination attachment and deconvolved. Scale bar represents 25 μm. (<b>aii</b>) Surface coverage per platelet calculated by thresholding using ImageJ 1.54e. (<b>aiii</b>) Number of platelets per mm<sup>2</sup>. Five fields each 12,500 μm<sup>2</sup> in size from five independent experiments were scored per condition. Data represent mean ± SEM. No significant differences were found between WT and α-synuclein<sup>−/−</sup> platelets for any condition (Mann–Whitney U-test). (<b>aiv</b>) Quantification of different spreading phases of platelets. (<b>bi</b>) Whole blood from WT and α-synuclein<sup>−/−</sup> mice was perfused at arterial shear 1000 s<sup>−1</sup> for 2 min over collagen matrix (100 µg/mL). Images of adherent platelets were taken using fluorescence microscopy. Scale bar represents 25 µm. (<b>bii</b>) Data are expressed as percentage surface coverage. (<b>biii</b>) Z stacks were acquired to assess thrombus height (µm) (<b>biv</b>). Data are presented as mean ± SEM of n = 5. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt;0.001, Mann–Whitney U test.</p>
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<p>Platelet activation causes α-synuclein re-localisation and assembly with SNARE complex. (<b>a</b>) Human WPs (1 × 10<sup>7</sup> platelets/mL) were stimulated with thrombin (0.05 U/mL) for 5 min and left to adhere to cover slides coated in poly-L-lysine for 15 min before fixing with 4% PFA. Cover slides were incubated for 1 h with α-synuclein primary antibody before incubation with FITC phalloidin (1:200) and anti-mouse PE antibody in dark for 1 h. Images were acquired with fluorescence microscope equipped with structured illumination attachment and deconvolved. Scale bar represents 5 µm. (<b>bi</b>) Human WPs (5 × 10<sup>8</sup> platelets/mL) were stimulated with thrombin (0.1 U/mL) for up to 30 min. Pellet and releasates were collected and analysed by Western blotting for presence of α-synuclein and TSP-1. (<b>bii</b>,<b>biii</b>) Densitometric analysis of amount of α-synuclein and TSP-1 after 5 min of stimulation. (<b>ci</b>) WPs (8 × 10<sup>8</sup> platelets/mL) were stimulated with thrombin (0.1 U/mL) for up to 5 min; reaction was stopped with lysis buffer, and α-synuclein was immunoprecipitated. Immunoprecipitates were then immunoblotted for presence of STX 11, STX 4, VAMP 8, and α-synuclein. Representative immunoblots of 4 independent experiments. (<b>cii</b>) Densitometric analysis of amount of SNARE proteins present in immunoprecipitates. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 compared with basal.</p>
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<p>Platelet activation induces α-synuclein ser129 phosphorylation. (<b>ai</b>) WPs (5 × 10<sup>8</sup> platelets/mL) were stimulated with thrombin at indicated doses/times. (<b>aii</b>) Densitometric quantification of phospho-α-synuclein, showing time- and dose-dependent increase. (<b>bi</b>) WPs (5 × 10<sup>8</sup> platelets/mL) were stimulated with thrombin for 5 min in presence or absence of BAPTA-AM (20 µM). (<b>bii</b>) Densitometric quantification of phospho-α-synuclein. (<b>ci</b>) WPs (5 × 10<sup>8</sup> platelets/mL) were stimulated with thrombin for 5 min or pre-treated with PGI<sub>2</sub> (100 nM) for 1 min prior to stimulation. (<b>cii</b>) Densitometric quantification of phospho-α-synuclein. Whole cell lysates were analysed by Western blotting with indicated antibodies. GAPDH and β-actin were used as loading controls. Data are presented as mean ± SEM of n = 5. * <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, Mann–Whitney U test.</p>
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27 pages, 6418 KiB  
Review
Therapeutic Potential of Cinnamon Oil: Chemical Composition, Pharmacological Actions, and Applications
by Jiageng Guo, Xinya Jiang, Yu Tian, Shidu Yan, Jiaojiao Liu, Jinling Xie, Fan Zhang, Chun Yao and Erwei Hao
Pharmaceuticals 2024, 17(12), 1700; https://doi.org/10.3390/ph17121700 - 17 Dec 2024
Viewed by 515
Abstract
Cinnamon oil, an essential oil extracted from plants of the genus Cinnamomum, has been highly valued in ancient Chinese texts for its medicinal properties. This review summarizes the chemical composition, pharmacological actions, and various applications of cinnamon oil, highlighting its potential in medical [...] Read more.
Cinnamon oil, an essential oil extracted from plants of the genus Cinnamomum, has been highly valued in ancient Chinese texts for its medicinal properties. This review summarizes the chemical composition, pharmacological actions, and various applications of cinnamon oil, highlighting its potential in medical and industrial fields. By systematically searching and evaluating studies from major scientific databases including Web of Science, PubMed, and ScienceDirect, we provide a comprehensive analysis of the therapeutic potential of cinnamon oil. Research indicates that cinnamon oil possesses a wide range of pharmacological activities, covering antibacterial, anti-inflammatory, anti-tumor, and hypoglycemic effects. It is currently an active ingredient in over 500 patented medicines. Cinnamon oil has demonstrated significant inhibitory effects against various pathogens comprising Staphylococcus aureus, Salmonella, and Escherichia coli. Its mechanisms of action include disrupting cell membranes, inhibiting ATPase activity, and preventing biofilm formation, suggesting its potential as a natural antimicrobial agent. Its anti-inflammatory properties are evidenced by its ability to suppress inflammatory markers like vascular cell adhesion molecules and macrophage colony-stimulating factors. Moreover, cinnamon oil has shown positive effects in lowering blood pressure and improving metabolism in diabetic patients by enhancing glucose uptake and increasing insulin sensitivity. The main active components of cinnamon oil include cinnamaldehyde, cinnamic acid, and eugenol, which play key roles in its pharmacological effects. Recently, the applications of cinnamon oil in industrial fields, including food preservation, cosmetics, and fragrances, have also become increasingly widespread. Despite the extensive research supporting its medicinal value, more clinical trials are needed to determine the optimal dosage, administration routes, and possible side effects of cinnamon oil. Additionally, exploring the interactions between cinnamon oil and other drugs, as well as its safety in different populations, is crucial. Considering the current increase in antibiotic resistance and the demand for sustainable and effective medical treatments, this review emphasizes the necessity for further research into the mechanisms and safety of cinnamon oil to confirm its feasibility as a basis for new drug development. In summary, as a versatile natural product, cinnamon oil holds broad application prospects and is expected to play a greater role in future medical research and clinical practice. Full article
(This article belongs to the Section Natural Products)
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<p>Pharmacological effects of Cinnamon Oil.</p>
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<p>Antibacterial properties of Cinnamon Oil.</p>
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<p>Anti-Tumor Effects of Cinnamon Oil.</p>
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<p>VOSviewer of Cinnamon Oil.</p>
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15 pages, 9729 KiB  
Article
Microstructure and Bioactivity of Ca- and Mg-Modified Silicon Oxycarbide-Based Amorphous Ceramics
by Qidong Liu, Hongmei Chen, Xiumei Wu, Junjie Yan, Biaobiao Yang, Chenying Shi, Yunping Li and Shu Yu
Materials 2024, 17(24), 6159; https://doi.org/10.3390/ma17246159 - 17 Dec 2024
Viewed by 226
Abstract
Silicon oxycarbide (SiOC), Ca- and Mg-modified silicon oxycarbide (SiCaOC and SiMgOC) were synthesized via sol–gel processing with subsequent pyrolysis in an inert gas atmosphere. The physicochemical structures of the materials were characterized by XRD, SEM, FTIR, and 29Si MAS NMR. Biocompatibility and [...] Read more.
Silicon oxycarbide (SiOC), Ca- and Mg-modified silicon oxycarbide (SiCaOC and SiMgOC) were synthesized via sol–gel processing with subsequent pyrolysis in an inert gas atmosphere. The physicochemical structures of the materials were characterized by XRD, SEM, FTIR, and 29Si MAS NMR. Biocompatibility and in vitro bioactivity were detected by MTT, cell adhesion assay, and simulated body fluid (SBF) immersion test. Mg and Ca were successfully doped into the network structure of SiOC, and the non-bridging oxygens (NBO) were formed. The hydroxycarbonate apatite (HCA) was formed on the modified SiOC surface after soaking in simulated body fluid (SBF) for 14 days, and the HCA generation rate of SiCaOC was higher than that of SiMgOC. Accompanying the increase of bioactivity, the network connectivity (NC) of the modified SiOC decreased from 6.05 of SiOC to 5.80 of SiCaOC and 5.60 of SiMgOC. However, structural characterization and biological experiments revealed the nonlinear relationship between the biological activity and NC of the modified SiOC materials. Full article
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<p>XRD analysis of different samples after 1000 °C heat treatment.</p>
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<p>SEM and EDS analysis of different materials: (<b>a</b>) SiOC glass; (<b>b</b>) SiCaOC glass; (<b>c</b>) SiMgOC glass.</p>
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<p>FTIR spectra of SiOC, SiCaOC, and SiMgOC glasses.</p>
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<p><sup>29</sup>Si MAS NMR of three materials: (<b>a</b>) SiOC glass; (<b>b</b>) SiCaOC glass; (<b>c</b>) SiMgOC glass. The experimental (grey line) and simulated (red line) spectra, as well as the individual simulation components (black lines), are shown. The results of the simulation correspond to Q<sub>4</sub>SiO<sub>4</sub> (I), Q<sub>3</sub>SiO<sub>4</sub> (II), SiO<sub>3</sub>C (III), SiO<sub>2</sub>C<sub>2</sub> (IV), SiOC<sub>3</sub> (V), and SiC<sub>4</sub> (VI).</p>
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<p>The surface morphology of the samples immersed in SBF for different immersion times: (<b>a</b>–<b>d</b>) SiOC glass; (<b>e</b>–<b>h</b>) SiCaOC glass; (<b>i</b>–<b>l</b>) SiMgOC glass.</p>
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<p>SEM morphology and corresponding EDS spectra of glass materials after 14-day immersion in SBF: (<b>a</b>) SiCaOC and (<b>b</b>) SiMgOC.</p>
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<p>The change in different ions content and pH of SBF after the immersion tests for various glass materials: (<b>a</b>) [Si]; (<b>b</b>) [Ca]; (<b>c</b>) [P]; and (<b>d</b>) pH.</p>
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<p>Absorbance of the different samples in MTT toxicity test. n = 3, for each group (**** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>SEM images of L929 cells attached to the surface of the different samples: (<b>a</b>) SiOC; (<b>b</b>) SiCaOC; and (<b>c</b>) SiMgOC.</p>
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<p>Schematic illustration of the doping of Ca and Mg into the SiOC network structure.</p>
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20 pages, 2240 KiB  
Article
Calcium Signaling and Molecular Adhesion Processes May Hold the Key to Genetic Risk for Autism: A Molecular Pathway Analysis on Two Independent Samples
by Antonio Drago, Marco Calabro and Concetta Crisafulli
Genes 2024, 15(12), 1609; https://doi.org/10.3390/genes15121609 - 17 Dec 2024
Viewed by 246
Abstract
Background: Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by limited interests, difficulties in social interactions, repetitive behaviors, and impairments in social communication. ASD tends to run in families, and twin studies suggest a strong genetic basis for the disorder. However, the [...] Read more.
Background: Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by limited interests, difficulties in social interactions, repetitive behaviors, and impairments in social communication. ASD tends to run in families, and twin studies suggest a strong genetic basis for the disorder. However, the definition of a genetic profile that indicates a risk for ASD remains unclear. Methods: This analysis includes an investigation (Autism Dataset 4 from the NIMH repository, n = 2890) and a replication (Autism Dataset 3 from the NIMH repository, n = 1233) of trio samples with GWAS data. In Phase 1, a molecular pathway analysis is conducted on the investigation sample to test for the enrichment of specific Gene Ontology (GO) terms associated with autism. In Phase 2, the identified pathways are tested for enrichment in the replication sample. Permutation tests are performed to reduce the risk of false-positive findings. Quality assessment is conducted using QQ-plots and λ values, with Plink and R utilized for the Transmission Disequilibrium Test (TDT) and permutation tests. Results: The GO term GO:0007417 was found to be enriched in both the investigation and replication samples. SNPs associated with this pathway were observed at a frequency higher than expected in the replication sample. Conclusions: The GO term GO:0007417 (development of the nervous system) was associated with autism in both trio samples. Variations in the genes TMPRSS4, TRPC4, and PCDH9 were consistently linked to autism across the two independent samples, highlighting the role of calcium signaling and cell adhesion molecules in the risk of autism-related disorders. The pathways and variations associated with autism are described in detail, which can contribute to the engineering of new pharmacological treatments for ASD. Full article
(This article belongs to the Special Issue Advances in Pharmacogenetics of Diseases)
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<p>QQ-plot of the TDI association test in the primary sample. The picture shows the QQ-plot analysis. The presence of inflation is excluded from the database under analysis. <span class="html-italic">x</span>-axis: Represents the expected <span class="html-italic">p</span>-values under the null hypothesis (no significant difference between cases and controls). These values are what you would expect if there were no true associations. <span class="html-italic">y</span>-axis: Represents the observed <span class="html-italic">p</span>-values from the GWAS analysis, which indicate the significance of the associations found in the data. If the observed <span class="html-italic">p</span>-values closely align with the expected <span class="html-italic">p</span>-values (i.e., points fall along the diagonal line), it suggests that there is no significant genetic stratification in the sample, supporting the null hypothesis. A deviation from this line, particularly where observed <span class="html-italic">p</span>-values are significantly lower (indicating higher significance), suggests the presence of true genetic associations. This could indicate genetic stratification, where the cases and controls differ in ways that affect the results. A large number of observed <span class="html-italic">p</span>-values that are more significant than expected could indicate that the sample is genetically stratified. This stratification can lead to inflated type I error rates, meaning that the study may falsely identify associations that do not exist. The presence of a small fraction of observed <span class="html-italic">p</span>-values that are significantly lower than expected may indicate true genetic associations, which are of interest for further investigation.</p>
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<p>QQ-plot in the secondary sample. The picture shows the QQ-plot analysis. The presence of inflation is excluded from the database under analysis. <span class="html-italic">x</span>-axis: Represents the expected <span class="html-italic">p</span>-values under the null hypothesis (no significant difference between cases and controls). These values are what you would expect if there were no true associations. <span class="html-italic">y</span>-axis: Represents the observed <span class="html-italic">p</span>-values from the GWAS analysis, which indicate the significance of the associations found in the data. If the observed <span class="html-italic">p</span>-values closely align with the expected <span class="html-italic">p</span>-values (i.e., points fall along the diagonal line), it suggests that there is no significant genetic stratification in the sample, supporting the null hypothesis. A deviation from this line, particularly where observed <span class="html-italic">p</span>-values are significantly lower (indicating higher significance), suggests the presence of true genetic associations. This could indicate genetic stratification, where the cases and controls differ in ways that affect the results. A large number of observed <span class="html-italic">p</span>-values that are more significant than expected could indicate that the sample is genetically stratified. This stratification can lead to inflated type I error rates, meaning that the study may falsely identify associations that do not exist. The presence of a small fraction of observed <span class="html-italic">p</span>-values that are significantly lower than expected may indicate true genetic associations, which are of interest for further investigation.</p>
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<p>Replication findings. SNPs associated with autism in the investigation sample, available in the replication sample, and having the same direction of association in both samples are shown. The prevalence of SNPs belonging to the index pathway is slightly more superior than expected at a <span class="html-italic">p</span> threshold &lt; 0.05 and double the expected at a <span class="html-italic">p</span> threshold &lt; 0.01. The latter enriched resisted the permutation test.</p>
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<p>The network below represents the target of molecular drugs used in the treatment of non-core symptoms of autism.</p>
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<p>(<b>a</b>) In the following diagram, the biologic processes related to the genes under investigation are represented. The diagram shows the subnetworks, and the genes not included in subnetworks, that belong to GO:0007417. In the network below is presented a graphic visualization of the molecular network. The asterisks indicate when the correlation between the subnetworks and the set of genes under investigation is significant (*) or highly significant (**). This was calculated by the Cluepedia plugin for Cytoscape 3.10.3 software. To calculate the degree of significance for each biological process, the software evaluates the ratio between (1) the number of genes within the network under investigation that also belong to the biological process and (2) the total number of genes composing the same biological process. (<b>b</b>) GO:0007417. The molecular pathway is represented, along with some of the connected molecular networks, including the astrocyte and oligodendrocyte differentiation, the development of the limbic system, and postsynaptic transmission, among others. The network was built from the GO Biological Process database (9 February 2016). The query was performed through the ClueGO plugin of Cytoscape software. Details on the query, including kappa score, the Tree interval considered, and others, are available upon request.</p>
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<p>The analysis flow is shown. The shadowed areas refer to the analysis of the investigation sample. Circles indicate the points in which the analysis is meant to stop, and a negative result is given. Arrows show the direction of the analysis. Enrichment in genelist2 in the replication sample is conducted while accounting for <span class="html-italic">p</span> thresholds &lt; 0.01 and a consistent direction of association between the investigation and the replication sample (OR&gt; or &lt;1).</p>
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10 pages, 2722 KiB  
Article
Deepening the Role of Pectin in the Tissue Assembly Process During Tomato Grafting
by Carlos Frey, Susana Saez-Aguayo, Antonio Encina and José Luis Acebes
Plants 2024, 13(24), 3519; https://doi.org/10.3390/plants13243519 - 17 Dec 2024
Viewed by 362
Abstract
Cell walls play essential roles in cell recognition, tissue adhesion, and wound response. In particular, pectins as cell-adhesive agents are expected to play a key role in the early stages of grafting. To test this premise, this study focused on examining the dynamics [...] Read more.
Cell walls play essential roles in cell recognition, tissue adhesion, and wound response. In particular, pectins as cell-adhesive agents are expected to play a key role in the early stages of grafting. To test this premise, this study focused on examining the dynamics of the accumulation and degree of methyl-esterification of pectic polysaccharides at the graft junctions using tomato autografts as an experimental model. Monosaccharide analysis showed a marked increase in homogalacturonan from 25% to 32 or 34% at the junction zones early after grafting. In addition, a decrease in the degree of homogalacturonan methyl-esterification up to 38% in the scion and 64% in the rootstock was observed in the first few days after grafting, accompanied by an increase in pectin methyl-esterase activity of up to 20–30% in the tissues surrounding the graft junction. These results shed light on the role of homogalacturonan in grafting and reinforce the key function of pectin as one of the most relevant cell wall components during the grafting process. Full article
(This article belongs to the Section Plant Development and Morphogenesis)
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<p>Scheme of sampling and primary treatment of the samples. Note that scion and rootstock were processed separately.</p>
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<p>Total extracted monosaccharides of scion (<b>a</b>) and rootstock (<b>b</b>) after TFA hydrolysis of AIR throughout grafting. Different letters indicate significant differences regard 0 DAG at the <span class="html-italic">p</span>-value ≤ 0.05 level after ANOVA followed by Tukey’s test. 0 DAG indicates non-grafted plants at the beginning of the experiment. Bars represent mean ± SD (<span class="html-italic">n</span> = 5). The legend “nf” means “non-functional” grafts.</p>
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<p>Galacturonic acid (GalA) content of scion (<b>a</b>) and rootstock (<b>b</b>) throughout grafting after TFA hydrolysis of AIR and quantification by HPAEC-PAD. Different letters indicate significant differences regard 0 DAG at the <span class="html-italic">p</span>-value ≤ 0.05 level after ANOVA followed by Tukey’s test. 0 DAG indicates non-grafted plants at the beginning of the experiment. Bars represent mean ± SD (<span class="html-italic">n</span> = 5). The legend “nf” means “non-functional” grafts.</p>
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<p>Pectin methyl-esterase enzymatic activity (halo area, cm<sup>2</sup>) of scion (<b>a</b>) and rootstock (<b>b</b>) extracts throughout grafting. Different letters indicate significant differences regard 0 DAG at the <span class="html-italic">p</span>-value ≤ 0.05 level after ANOVA followed by Tukey’s test. 0 DAG indicates non-grafted plants at the beginning of the experiment. Bars represent mean ± SD (<span class="html-italic">n</span> = 5). The legend “nf” means “non-functional” grafts.</p>
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<p>Degree of methyl-esterification of scion (<b>a</b>) and rootstock (<b>b</b>) throughout grafting. The methanol release was estimated after AIR saponification by a colorimetric method. Different letters indicate significant differences regarding 0 DAG at the <span class="html-italic">p</span>-value ≤ 0.05 level after ANOVA followed by Tukey’s test. 0 DAG indicates non-grafted plants at the beginning of the experiment. Bars represent mean ± SD (<span class="html-italic">n</span> = 5). The legend “nf” means “non-functional” grafts.</p>
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<p>Schematic of the homogalacturonan-mediated cell wall adhesion hypothesis in plant grafts. Esterified homogalacturonan is transported de novo from the Golgi apparatus to the cell wall, where it is de-esterified by pectin methyl-esterase activity, which is expected to allow the formation of the ‘egg-box’ structure, which is assumed to confer special adhesive properties on the new graft cell wall interface. Made with BioRender and Inkscape v. 1.4.</p>
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18 pages, 3319 KiB  
Perspective
Osseoconductive CaTi4-zZrz(PO4)6 Ceramics: Solutions Towards Nonunion, Osteoporosis, and Osteoarthrosis Conditions?
by Robert B. Heimann
Ceramics 2024, 7(4), 1964-1981; https://doi.org/10.3390/ceramics7040122 - 16 Dec 2024
Viewed by 279
Abstract
Transition (Ti, Zr) metal-substituted calcium hexaorthophosphate CaTi4-zZrz(PO4)6 coatings with an NaSICon structure were deposited by atmospheric plasma spraying (APS) onto Ti6Al4Veli substrates using a statistical design of experiments (SDE) methodology. Several coating properties were determined, including [...] Read more.
Transition (Ti, Zr) metal-substituted calcium hexaorthophosphate CaTi4-zZrz(PO4)6 coatings with an NaSICon structure were deposited by atmospheric plasma spraying (APS) onto Ti6Al4Veli substrates using a statistical design of experiments (SDE) methodology. Several coating properties were determined, including chemical composition, porosity, surface roughness, tensile adhesion strength, shear strength, and solubility in protein-free simulated body fluid (pf-SBF) and TRIS-HCl buffer solution. The biological performance evaluation involved cell proliferation and vitality studies and osseointegration tests of coated Ti6Al4Veli rods intramedullary implanted in sheep femora. After a 6 months observation time, a satisfactory gap-bridging potential was apparent as shown by a continuous, well-adhering layer of newly formed cortical bone. These tests suggest that the coatings possess a suitable osseoconductive potential and present an enhanced expression of bone growth-supporting non-collagenous proteins and cytokines, a high cell proliferation, spreading and vitality, and substantial osseointegration by strong bone apposition. The moderate intrinsic ionic conductivity of CaTi4-zZrz(PO4)6 compounds can be augmented by doping with highly mobile Na+ or Li+ ions to levels that suggest their use in electric bone growth stimulation (EBGS) devices, able to treat nonunion (pseudoarthrosis) and osteoporosis, and that may also support spinal stabilisation by vertebral fusion. Full article
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<p>Unit cell of CaTi<sub>4</sub>(PO<sub>4</sub>)<sub>6</sub> with NaSICon structure [<a href="#B4-ceramics-07-00122" class="html-bibr">4</a>]. © Reproduced with permission from De Gruyter, 2017. All rights reserved.</p>
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<p>Typical cross-sections of atmospheric plasma-sprayed CaZr<sub>4</sub>(PO<sub>4</sub>)<sub>6</sub> (<b>A</b>) and CaTi<sub>2</sub>Zr<sub>2</sub>(PO<sub>4</sub>)<sub>6</sub> (<b>B</b>) coatings on Ti6Al4V substrates [<a href="#B10-ceramics-07-00122" class="html-bibr">10</a>]. Dark: target compounds; medium grey: phosphorus-depleted phases; white: rutile and/or ß-zirconia exsolutions (spheres) as well as ZrP<sub>2</sub>O<sub>7</sub> (worm-like flowmarks) (see <b>C</b>,<b>D</b>). © Images courtesy of Dr Guido Reisel, Oerlikon Metco WOKA GmbH, Barchfeld, Germany. (<b>C</b>): Cross-section of a plasma-sprayed CaTiZr<sub>3</sub>(PO<sub>4</sub>)<sub>6</sub> coating on a Ti6Al4V substrate [<a href="#B11-ceramics-07-00122" class="html-bibr">11</a>]. Phase 1: target compound; phase 2: Ca(Ti,Zr)<sub>4.5</sub>O<sub>4.6</sub>(PO<sub>4</sub>)<sub>3.6</sub>; phase 3. Ca(Ti,Zr)<sub>4.2</sub>O<sub>6.85</sub>(PO<sub>4</sub>)<sub>1.7</sub>; phase 4: ß-ZrO<sub>2</sub>. Note that the decomposition phases 2 and 3 are strongly depleted in phosphorus. (<b>D</b>): X-ray diffraction pattern of as-synthesised CaTiZr<sub>3</sub>(PO<sub>4</sub>)<sub>6</sub> (a), calculated pattern (b), and plasma-sprayed coating (c). The peaks marked with dots can be assigned to ZrP<sub>2</sub>O<sub>7</sub>. © Reprinted with permission from Wiley-VCH, Weinheim, Germany, 2010.</p>
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<p>(<b>A</b>,<b>B</b>) Cross-sectional images of plasma-sprayed CaTiZr<sub>3</sub>(PO<sub>4</sub>)<sub>6</sub> coatings on a Ti6Al4V substrate at different magnifications. Plasma power 30 kW, argon flow rate 45 standard litres per minute (slpm), hydrogen flow rate 8 slpm, powder carrier gas (argon) flow rate 4.5 slpm, spray distance 100 mm, powder grain size +25–45 µm [<a href="#B11-ceramics-07-00122" class="html-bibr">11</a>]. © Reprinted with permission from Wiley-VCH, Weinheim, Germany, 2010.</p>
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<p>Pore-size distribution of plasma-sprayed CaTiZr<sub>3</sub>(PO<sub>4</sub>)<sub>6</sub> coatings. (<b>A</b>) Unimodal distribution, mean porosity <span class="html-italic">p</span> = 10.8 vol%. (<b>B</b>) Multimodal distribution, mean porosity <span class="html-italic">p</span> &gt; 15.5 vol% [<a href="#B14-ceramics-07-00122" class="html-bibr">14</a>]. © Reprinted with permission from Wiley-VCH, Weinheim, Germany, 2015.</p>
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<p>(<b>A</b>): Solubilities of calcium (titanium, zirconium) hexaorthophosphates with different Ti/Zr ratios (C–G) compared to hydroxylapatite (A) and tricalcium phosphate (B) in protein-free simulated body fluid at 37 °C and pH 7.4 [<a href="#B11-ceramics-07-00122" class="html-bibr">11</a>]. C: CaTi<sub>4</sub>(PO<sub>4</sub>)<sub>6</sub>; D: CaTi<sub>3</sub>Zr(PO<sub>4</sub>)<sub>6</sub>; E: CaTi<sub>2</sub>Zr<sub>2</sub>(PO<sub>4</sub>)<sub>6</sub>; F: CaTiZr<sub>3</sub>(PO<sub>4</sub>)<sub>6</sub>; G: CaZr<sub>4</sub>(PO<sub>4</sub>)<sub>6</sub>. (<b>B</b>): Solubilities of plasma-sprayed CaTiZr<sub>3</sub>(PO<sub>4</sub>)<sub>6</sub> (F in (<b>A</b>)) in 0.2.M TRIS-HCl buffer at 37 °C and pH 7.4 [<a href="#B11-ceramics-07-00122" class="html-bibr">11</a>]. 1: as-synthesised; 2–5: coatings with different sets of plasma spray parameters; 6: plasma-sprayed hydroxylapatite. © Reprinted with permission from Wiley-VCH, Weinheim, Germany, 2015.</p>
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<p>(<b>A</b>) Light-optical micrograph of a distal section of a Ti6Al4V rod coated with CaTiZr<sub>3</sub>(PO<sub>4</sub>)<sub>6</sub> and implanted in the femoral medulla of a sheep for six months. (<b>B</b>) The gap-bridging potential of newly formed bone (centre right) is reduced when the distance between the coated implant and surrounding cortical bone (bottom right) is increased [<a href="#B2-ceramics-07-00122" class="html-bibr">2</a>,<a href="#B14-ceramics-07-00122" class="html-bibr">14</a>]. © Reprinted with permission from Wiley-VCH, Weinheim, Germany, 2015.</p>
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<p>Two possible configurations of invasive electric bone growth stimulation (EBGS) devices based on ion-conducting CaTiZr<sub>3</sub>(PO<sub>4</sub>)<sub>6</sub>. (<b>Top</b>) without a hydroxylapatite coating, (<b>bottom</b>) in the presence of a hydroxylapatite coating. The thin TiO<sub>2</sub> layer acts as a dielectric able to store negative charges close to the interface with bone.</p>
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18 pages, 3666 KiB  
Article
Integrated Single-Cell Analysis Revealed Novel Subpopulations of Foamy Macrophages in Human Atherosclerotic Plaques
by Yunrui Lu, Shuang Wu, Shiyu Zhu, Jian Shen, Chang Liu, Chaoyue Zhao, Sheng’an Su, Hong Ma, Meixiang Xiang and Yao Xie
Biomolecules 2024, 14(12), 1606; https://doi.org/10.3390/biom14121606 - 16 Dec 2024
Viewed by 331
Abstract
Foam cell formation is a hallmark of atherosclerosis, yet the cellular complexity within foam cells in human plaques remains unexplored. Here, we integrate published single-cell RNA-sequencing, spatial transcriptomic, and chromatin accessibility sequencing datasets of human atherosclerotic lesions across eight distinct studies. Through this [...] Read more.
Foam cell formation is a hallmark of atherosclerosis, yet the cellular complexity within foam cells in human plaques remains unexplored. Here, we integrate published single-cell RNA-sequencing, spatial transcriptomic, and chromatin accessibility sequencing datasets of human atherosclerotic lesions across eight distinct studies. Through this large-scale integration of patient-derived information, we identified foamy macrophages enriched for genes characteristic of the foamy signature. We further re-clustered the foamy macrophages into five unique subsets with distinct potential functions: (i) pro-foamy macrophages, exhibiting relatively high inflammatory and adhesive properties; (ii) phagocytic foamy macrophages, specialized in efferocytosis; (iii) high-efflux foamy macrophages marked by high NR1H3 expression; (iv) mature foamy macrophages prone to programmed cell death; and (v) synthetic subset. Trajectory analysis elucidated a bifurcated differentiation cell fate from pro-foam macrophages toward either the programmed death (iv) or synthetic (v) phenotype. The existence of these foamy macrophage subsets was validated by immunostaining. Moreover, these foamy macrophage subsets exhibited strong potential ligand–receptor interactions. Finally, we conducted Mendelian randomization analyses to identify a possible causal relationship between key regulatory genes along the programmed death pathway in foamy macrophages and atherosclerotic diseases. This study provides a high-resolution map of foam cell diversity and a set of potential key regulatory genes in atherosclerotic plaques, offering novel insights into the multifaceted pathophysiology underlying human atherosclerosis. Full article
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<p>Pipeline devised to build the integrated single-cell analyses for human atherosclerosis.</p>
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<p>Identification and characterization of foam macrophages in human atherosclerotic plaques. (<b>A</b>) UMAP representation of integrated scRNA-seq data (75,156 cells) from human atherosclerotic plaques with identification of the major cell lineages. (<b>B</b>) Marker genes of foam cells reported in previous studies [<a href="#B5-biomolecules-14-01606" class="html-bibr">5</a>,<a href="#B8-biomolecules-14-01606" class="html-bibr">8</a>,<a href="#B14-biomolecules-14-01606" class="html-bibr">14</a>,<a href="#B15-biomolecules-14-01606" class="html-bibr">15</a>,<a href="#B16-biomolecules-14-01606" class="html-bibr">16</a>]. (<b>C</b>) Violin plot showing the distribution of Foam_score in scRNA-seq data. (<b>D</b>) UMAP embeddings of Foam_score and ‘Foam cell’ cluster. The Foam_score was calculated for each cell based on the expression of foam marker genes listed in (<b>B</b>). ‘Foam’ cluster was identified based on the Foam_score. (<b>E</b>) Predicted spatial location of identified foam cells in the sections of human carotid and coronary atherosclerotic plaque samples. (<b>F</b>) Top GSEA pathways associated with ‘Foam’ macrophages. (<b>G</b>) Top KEGG pathways associated with ‘Foam’ macrophages. (<b>H</b>) Projection of scRNA-seq ‘Foam cell’ and ‘Non-Foam’ labels over the scATAC-seq clusters (30,445 cells). (<b>I</b>) Bar plot showing the distribution of ‘Foam cell’ and ‘Non-Foam’ clusters across control and plaque groups in the integrated data. (<b>J</b>) Top differential open chromatin TF motifs by chromVAR in ‘Foam’ cluster. P. adj, adjusted <span class="html-italic">p</span>-value by Benjamini–Hochberg procedure.</p>
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<p>Subclustering of foamy macrophages revealed 5 distinct subsets. (<b>A</b>) UMAP embedding of 5 foamy macrophage subsets (4220 cells). (<b>B</b>) Bar plot showing the distribution of foamy macrophage subsets across control and plaque groups. (<b>C</b>) Dot plot showing expression of top marker genes in foamy macrophage subsets. (<b>D</b>) UMAP embeddings of canonical marker genes related to different functions. Normalized gene expression is indicated by color. (<b>E</b>) Top KEGG pathways associated with each subset of foamy macrophages.</p>
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<p>Pseudotime and TF regulon activity analyses for the foamy macrophage subsets. (<b>A</b>) UMAP embeddings showing the pseudotime trajectory calculated with Monocle3 (4220 cells). The numbered circle depicts the trajectory root defined as the pro-foam subset. (<b>B</b>) UMAP embeddings showing the activity of each pathway calculated by AUCell in the foamy macrophage subsets. (<b>C</b>) Expression levels of genes along pseudotime. (<b>D</b>) Top KEGG pathways associated with pseudotime cell fate A or cell fate B. (<b>E</b>) TF regulon activity prediction of foamy macrophage subsets. <span class="html-italic">p</span>. adj, adjusted <span class="html-italic">p</span>-value by Benjamini–Hochberg procedure.</p>
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<p>Immunostaining of the foamy macrophage subsets in human atherosclerosis. (<b>A</b>) Immunostaining for Nile Red, CD68, foamy macrophage subset markers (ICAM1, FOLR2, MMP9, ANGPTL4, and COL1A2) and DAPI on human carotid atherosclerotic plaques sections. Arrows indicate Nile Red<sup>+</sup> CD68<sup>+</sup> subset marker<sup>+</sup> cells. (<b>B</b>,<b>C</b>) Quantification of foamy macrophages in macrophages (<b>B</b>) and each foamy macrophage subset in foamy macrophages (<b>C</b>). Data are mean ± SEM; n = 6, biological replicates. Scale bars: 50 μm.</p>
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<p>Summary of cell crosstalk within the foamy macrophage subsets in human atherosclerosis. (<b>A</b>) Circle plot depicting aggregated cell–cell interaction network within foamy macrophage subsets. (<b>B</b>) Heatmap showing the top signal pathways of cell–cell communication within foamy macrophage subsets. (<b>C</b>) Bar plot showing the contribution of ligand–receptor pairs in cell–cell communication within foamy macrophage subsets. (<b>D</b>) Circle plots depicting ligand–receptor interactions within foamy macrophage subsets for CD99-CD99, SPP1-CD44, SPP1-(ITGA8+ITGB1), and HLA-DRA-CD4. (<b>E</b>) Heatmap depicting cell–cell interactions within foamy macrophage subsets for FN1 signaling. (<b>F</b>) Dot plot of ligand–receptor interactions for FN1 signaling. L-R, ligand–receptor.</p>
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<p>Mendelian randomization analyses revealed a possible causal relationship between cell trajectory genes and atherosclerotic diseases. (<b>A</b>) Heatmap showing the foamy macrophage differentially expressed genes upregulated across pseudotime cell fate A (q value &lt; 0.05). (<b>B</b>) Venn plot showing the overlapping genes among upregulated genes across pseudotime cell fate A (q value &lt; 0.05), atherosclerosis-associated genes (FDR &lt; 0.05), and myocardial infarction-associated genes (FDR &lt; 0.05). (<b>C</b>) Forest plot of the overlapping genes in (<b>B</b>). FDR, false discovery rate. OR, odds ratio.</p>
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18 pages, 3973 KiB  
Review
Regulation of Cancer Metastasis by PAK2
by Megan Wu, Chandan Sarkar and Bin Guo
Int. J. Mol. Sci. 2024, 25(24), 13443; https://doi.org/10.3390/ijms252413443 - 15 Dec 2024
Viewed by 238
Abstract
PAK2 is a serine-threonine kinase and a member of the p21-activated kinase (PAK) family. PAK2 is activated by GTP-bound rho family GTPases, Rac, and Cdc42, and it regulates actin dynamics, cell adhesion to the extracellular matrix, and cell motility. In various types of [...] Read more.
PAK2 is a serine-threonine kinase and a member of the p21-activated kinase (PAK) family. PAK2 is activated by GTP-bound rho family GTPases, Rac, and Cdc42, and it regulates actin dynamics, cell adhesion to the extracellular matrix, and cell motility. In various types of cancers, PAK2 has been implicated in the regulation of cancer cell proliferation, cell cycle, and apoptosis. In addition, recent studies have shown that PAK2 plays an important role in cancer cell metastasis, indicating PAK2 as a potential therapeutic target. This review discusses recent discoveries on the functions of PAK2 in the regulation of various types of cancers. A better understanding of the mechanisms of function of PAK2 will facilitate future development of cancer therapies. Full article
(This article belongs to the Special Issue Latest Review Papers in Molecular Oncology 2024)
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<p>Structure and activation of PAK2. (<b>A</b>). The domain structure of the PAK2 protein. (<b>B</b>). Two different mechanisms that activate PAK2. AID: auto-inhibitory domain; Cdc42: cell division cycle 42, PBD: p21 binding domain; PAK2: p21-activated kinase 2; Rac1: Ras-related C3 botulinum toxin substrate 1.</p>
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<p>Phosphorylation of the substrate proteins by PAK2 regulates various cellular functions. PAK2 phosphorylates key proteins that are involved in cell cycle, apoptosis, and motility. Akt: Ak strain transforming; Bcl-2: B-cell lymphoma 2; Bad: Bcl-2 associated agonist of cell death; c-Abl: Abelson murine leukemia viral homolog 1; Cdc42: Cell division cycle 42, CDK2: cyclin-dependent kinase 2; LIMK: LIM kinase; MLCK: myosin light-chain kinase; MAPK: mitogen-activated protein kinase; miR: microRNA; Myc: myelocytomatosis oncogene; PI3K: phosphoinositide 3-kinases; Rac1: Ras-related C3 botulinum toxin substrate 1; RLC: regulatory light chains; STAT5: signal transducer and activator of transcription 5.</p>
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<p>Mechanisms of action of PAK2 in the regulation of different signaling pathways in different cancers. The red arrow indicates that CDK12 activates the MAPK signaling pathway by directly binding to and phosphorylating PAK2 at T134/T169, thereby promoting gastric cancer progression. Upward arrows indicate the activation of PAK2. Akt: Ak strain transforming; ACSL4: Acyl-CoA synthetase long-chain family member 4; CDK2: cyclin-dependent kinase 12; CASP: caspase; FAK: focal adhesion kinase; PYK2: FAK-related proline-rich tyrosine kinase 2; HSP90: heat-shock protein 90; LIMK: LIM domain kinase; mTOR: mechanistic target of rapamycin; MAPK: mitogen-activated protein kinase; MCM7: minichromosome maintenance complex component 7; Mlck: myosin light-chain kinases; PI3K: phosphoinositide 3-kinases; PKM2: pyruvate kinase M2; Raf: rapidly accelerated fibrosarcoma; SOX2: SRY (sex-determining region Y)-box 2; STX17: Syntaxin 17.</p>
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19 pages, 31681 KiB  
Article
Comparison of Endoplasmic Reticulum Stress and Pyroptosis Induced by Pathogenic Calcium Oxalate Monohydrate and Physiologic Calcium Oxalate Dihydrate Crystals in HK-2 Cells: Insights into Kidney Stone Formation
by Wei-Jian Nong, Xin-Yi Tong and Jian-Ming Ouyang
Cells 2024, 13(24), 2070; https://doi.org/10.3390/cells13242070 - 15 Dec 2024
Viewed by 383
Abstract
Endoplasmic reticulum stress (ERS) can activate pyroptosis through CHOP and TXNIP; however, the correlation between this process and the formation of kidney stones has not been reported. The purpose is to investigate the effects of calcium oxalate monohydrate (COM) and calcium oxalate dihydrate [...] Read more.
Endoplasmic reticulum stress (ERS) can activate pyroptosis through CHOP and TXNIP; however, the correlation between this process and the formation of kidney stones has not been reported. The purpose is to investigate the effects of calcium oxalate monohydrate (COM) and calcium oxalate dihydrate (COD) on ERS and pyroptosis in HK-2 cells and to explore the formation mechanism of calcium oxalate stones. HK-2 cells were injured by 3 μm COM and COD. COM and COD significantly upregulated the expression levels of GRP78, CHOP, TXNIP, and pyroptosis-related proteins (NLRP3, caspase-1, GSDMD-N, and IL-1β). Fluorescence colocalization revealed that COM induced pyroptosis by inducing the interaction between TXNIP and NLRP3. Both COM and COD crystals can induce ERS and pyroptosis in HK-2 cells. COM induces the interaction with NLRP3 by the upregulation of CHOP and TXNIP and then promotes pyroptosis, while COD only promotes pyroptosis by the upregulation of CHOP. The cytotoxicity and the ability of COM to promote crystal adhesion and aggregation are higher than COD, suggesting that COM is more dangerous for calcium oxalate kidney stone formation. Full article
(This article belongs to the Collection The Role of NLRP3 in Health and Disease)
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<p>Synthesis and characterization of COM and COD. (<b>A</b>) SEM; (<b>B</b>) the particle size distributions fitted to normal distribution curves (The red curve is a normal fitting distribution); (<b>C</b>) crystal XRD pattern; (<b>D</b>) zeta potential. Calcium oxalate monohydrate, COM. Calcium oxalate dihydrate, COD. Scanning electron microscope, SEM. X-ray diffraction, XRD. Data were extracted from independent samples, and experiments were performed in triplicate.</p>
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<p>Cytotoxicity of COM and COD and their differences in adhesion to HK-2 cells. (<b>A</b>) Cell viability was measured by CCK8; (<b>B</b>) microscope images of crystal adhesion after 1 h and 48 h exposure to HK-2 cells. Control: normal control group; COM: 3 μm COM with a concentration of 300 μg/mL; COD: 3 μm COD with a concentration of 300 μg/mL; comparison among different groups, * <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. Scale bar: 20 μm. Calcium oxalate monohydrate, COM. Calcium oxalate dihydrate, COD. Data were extracted from independent samples, and experiments were performed in triplicate. The white box is the enlarged area, and the images pointed by the arrow is the enlarged images in the white box area.</p>
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<p>ERS induced by COM and COD. (<b>A</b>) The expression of GRP78 was observed by immunofluorescence (scale: 20 μm); (<b>B</b>) semi-quantitative analysis of GRP78 fluorescence images; (<b>C</b>,<b>G</b>) Western blot analysis of endoplasmic reticulum stress-related proteins; (<b>D</b>–<b>F</b>,<b>H</b>) semi-quantitative analysis histograms of IRE1α, ATF6, CHOP, and P-PERK, respectively. Control: normal control group; COM: 3 μm COM with a concentration of 300 μg/mL; COD: 3 μm COD with a concentration of 300 μg/mL; comparison among different groups, * <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. Calcium oxalate monohydrate, COM. Calcium oxalate dihydrate, COD. Glucose-regulated protein 78, GRP78. 4,6-diamino-2-phenylindole, DAPI. Inositol requiring enzyme 1α, IRE1α. Activating transcription factor-6, ATF6. C/EBP homologous protein, CHOP. Phosphorylated PERK, p-PERK. Data were extracted from independent samples, and experiments were performed in triplicate.</p>
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<p>COM- and COD-induced pyroptosis and their differences. (<b>A</b>) Double staining flow quantitative analysis of caspase-1/PI; (<b>B</b>) quantitative statistical histogram of pyroptosis; (<b>C</b>) caspase-1/PI double dye confocal observation, scale: 50 μm; (<b>D</b>) semi-quantitative analysis of IL-18 in supernatant after cell injury by Elisa. (<b>E</b>,<b>H</b>) Western blot analysis of pyroptosis related pathway proteins. (<b>F</b>,<b>G</b>,<b>I</b>,<b>J</b>) semi-quantitative histograms of NLRP3, pro-caspase-1, GSDMD-N, and Pro-IL-1β, respectively. Control: normal control group; COM: 3 μm COM with a concentration of 300 μg/mL; COD: 3 μm COD with a concentration of 300 μg/mL; comparison among different groups, * <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. Calcium oxalate monohydrate, COM. Calcium oxalate dihydrate, COD. Propidium iodide, PI. N-terminal cleavage product of GSDMD, GSDMD-N. Interleukin-1β, IL-1β. NOD-like receptor thermal protein domain associated protein 3, NLRP3. Data were extracted from independent samples, and experiments were performed in triplicate. The FLICA-YVAD probe binds to caspase-1 and is excited as green fluorescence. PI binds to the nuclei of the cells with membrane rupture and was excited as red fluorescence. DAPI bound to the nuclei of all cells and was excited as blue fluorescence. More intense green and red fluorescence represents more intense pyroptosis.</p>
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<p>Activation effects of COM and COD on TXNIP. (<b>A</b>) Western blot analysis of TXNIP; (<b>B</b>) semi-quantitative analysis histogram of TXNIP; (<b>C</b>) visualization of the colocalization of NLRP3 and TXNIP in HK-2 cells by laser confocal microscopy, scale: 10 μm; (<b>D</b>) copositioning curve analysis diagram for the white line region of figure (<b>C</b>). Control: normal control group; COM: 3 μm COM with a concentration of 300 μg/mL; COD: 3 μm COD with a concentration of 300 μg/mL; comparison among different groups, *** <span class="html-italic">p</span> &lt; 0.001. Calcium oxalate monohydrate, COM. Calcium oxalate dihydrate, COD. Thioredoxin-interacting protein, TXNIP. NOD-like receptor thermal protein domain associated protein 3, NLRP3. Data were extracted from independent samples, and experiments were performed in triplicate. TXNIP is observed as red fluorescence. NLRP3 is observed as green fluorescence. DAPI binding nuclei is observed as blue fluorescence. The image on the far right is a magnified view of the red box.</p>
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<p>The mechanism of COM and COD damages HK-2 cells through the ERS–NLRP3 pyroptosis pathway and promotes the formation of kidney stones (by Figdraw). Calcium oxalate monohydrate, COM. Calcium oxalate dihydrate, COD. Glucose-regulated protein 78, GRP78. Endoplasmic reticulum stress, ERS. Activating transcription factor-6, ATF6. Inositol requiring enzyme 1α, IRE1α. C/EBP homologous protein, CHOP. Thioredoxin-interacting protein, TXNIP. NOD-like receptor thermal protein domain associated protein 3, NLRP3. N-terminal cleavage product of GSDMD, GSDMD-N. Interleukin-18, IL-18. Interleukin-1β, IL-1β. Arrows indicate activation or upregulation effects.</p>
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