[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.
 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (21,625)

Search Parameters:
Keywords = fatty acid

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
17 pages, 4187 KiB  
Review
A Novel Insight into the Role of Obesity-Related Adipokines in Ovarian Cancer—State-of-the-Art Review and Future Perspectives
by Klaudia Kołakowska, Joanna Kiśluk and Jacek Nikliński
Int. J. Mol. Sci. 2025, 26(5), 1857; https://doi.org/10.3390/ijms26051857 (registering DOI) - 21 Feb 2025
Abstract
Ovarian cancer (OC) is one of the most fatal gynecological neoplasms. Meta-analyses have shown that the relationship between body mass index (BMI) and ovarian cancer incidence was detected in some types of ovarian cancer. Chronic inflammation and excessive accumulation of free fatty acids [...] Read more.
Ovarian cancer (OC) is one of the most fatal gynecological neoplasms. Meta-analyses have shown that the relationship between body mass index (BMI) and ovarian cancer incidence was detected in some types of ovarian cancer. Chronic inflammation and excessive accumulation of free fatty acids are key adipose tissue-derived factors initiating cancer development. Cancer cells transform adipose-derived stem cells into cancer-associated adipocytes, which produce adipokines and interleukins. It was revealed that adipokines exert a pleiotropic role in ovarian cancer pathogenesis. Chemerin presents both pro-cancer and anti-cancer action in ovarian cancer development. Chemerin induces angiogenesis and increases programmed death ligand-1 (PD-L1) expression, leading to enhanced proliferation and migration of OC cells. Apelin impacts cancer cell migration and acts as a mitogenic factor. Moreover, apelin exerts influence on lipid uptake into cancer cells and accelerates fatty acid oxidation, which provides energy for cancer cells. Visfatin induces matrix metallopeptidase 2 (MMP2) expression involved in extracellular matrix degradation and suppresses claudin 3 and 4 expression. Visfatin also induces a shift to anaerobic glucose metabolism and influences poly-ADP ribose polymerase (PARP). Resistin induces MMP2 and vascular endothelial growth factor (VEGF) expression and contributes to cisplatin-resistance development. A substantial body of evidence indicates that antagonists of adipokines mitigate OC progression, and adipokines are gaining gradual recognition as a potential therapeutic aim in ovarian cancer targeted therapy. Full article
(This article belongs to the Section Molecular Oncology)
Show Figures

Figure 1

Figure 1
<p>Ovarian cancer (OC) risk factors [<a href="#B3-ijms-26-01857" class="html-bibr">3</a>]. Created in BioRender. Kołakowski, A. (2025). <a href="https://BioRender.com/x72f623" target="_blank">https://BioRender.com/x72f623</a> (accessed on 9 July 2024).</p>
Full article ">Figure 2
<p>The crosstalk between adipocytes, ovarian cancer cells, and immune cells. Created in BioRender. Kołakowski, A. (2025). <a href="https://BioRender.com/j44m979" target="_blank">https://BioRender.com/j44m979</a> (accessed on 9 July 2024). Abbreviations: AMPK—adenosine monophosphate-activated protein kinase, ATP—adenosine triphosphate, APJ—apelin receptor, CPT1—carnitine palmitoyltransferase 1, ACOX—acyl-coenzyme A oxidase, FFA—free fatty acid, FATP1—long-chain fatty acid transport protein 1, JAK—Janus-activated kinases, STAT3—signal transducer and activator of transcription 3.</p>
Full article ">Figure 3
<p>The complex impact of adipokines on the ovarian cancer cell. Created in BioRender. Kołakowski, A. (2025). <a href="https://BioRender.com/o89r036" target="_blank">https://BioRender.com/o89r036</a> (accessed on 9 July 2024). Abbreviations: RhoA—Ras homolog family member A; ROCK 1—rho-associated, coiled-coil-containing protein kinase 1; EMT—epithelial–mesenchymal transition; <span class="html-italic">IFI 27</span>, <span class="html-italic">OAS1</span>, <span class="html-italic">IFIT1</span>, <span class="html-italic">IRF9</span>—interferon alfa response genes; ERK 1/2—extracellular signal-regulated kinase 1/2; PD-L1—programmed cell death ligand 1; MMP-2—matrix metalloproteinases 2; GLUT 1—glucose transporter 1; mTOR—mammalian target of rapamycin; PI3K—phosphoinositide 3-kinases; Akt—serine/threonine kinase 1; 70 KDaS6—70 kDaS6 kinase; AMPK—adenosine monophosphate-activated protein kinase; CTP1a—carnitine palmitoyltransferase 1A; ATP—adenosine triphosphate; JAK—Janus kinase; STAT 3—signal transducer and activator of transcription 3; CD 36—cluster of differentiation 36 or fatty acid translocase; APJ—apelin receptor.</p>
Full article ">
11 pages, 1073 KiB  
Article
The Performance of the Super-High-Oleic Acid Safflower (Carthamus tinctorius) Oil During Intermittent Frying
by Randy Adjonu, Paul D. Prenzler and Jamie Ayton
Foods 2025, 14(5), 729; https://doi.org/10.3390/foods14050729 (registering DOI) - 21 Feb 2025
Abstract
High-oleic acid edible oils are appealing, especially for frying, due to their nutritional benefits and high heat stability. This study benchmarked the newly developed super-high-oleic acid safflower oil (SHOSO) against high-oleic acid sunflower (HOSO), conventional canola (CCO), and rice bran (RBO) oils in [...] Read more.
High-oleic acid edible oils are appealing, especially for frying, due to their nutritional benefits and high heat stability. This study benchmarked the newly developed super-high-oleic acid safflower oil (SHOSO) against high-oleic acid sunflower (HOSO), conventional canola (CCO), and rice bran (RBO) oils in a frying exercise. The oils were used to fry potato chips for 30 h (90 cycles), and their performance was assessed by measuring the changes in total polar compounds (TPCs), tocopherols, and fatty acid composition. SHOSO contained ~91% oleic acid and had the longest induction time (~35 h) compared with HOSO (~80%; 15.3 h), CCO (~62; 8.8 h), and RBO (~41%; 9.7). After 90 frying cycles, SHOSO’s performance was comparable to that of HOSO, showing the highest increase in TPCs and shortest frying lives (~22.5–25.1 h) compared with CCO (~27.5–33.0 h) and RBO (>30 h). Approximately 97% of the tocopherol in both high-oleic acid oils was α-tocopherol, which was depleted within 6 h. Moreover, SHOSO recorded the largest change in oleic acid, followed by HOSO. SHOSO’s higher oleic acid content influenced its thermal stability and frying life. This study showed SHOSO as a suitable frying oil, and its higher oleic acid content makes it attractive as a functional and healthier fat alternative in food formulations. Full article
(This article belongs to the Special Issue Edible Oil: Processing, Safety and Sustainability)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Changes in free fatty acid content during frying of potato chips in canola (CCO), high-oleic acid sunflower (HOSO), super-high-oleic acid safflower (SHOSO), and rice bran (RBO) oils. Frying was conducted for 30 h, equivalent to 90 cycles.</p>
Full article ">Figure 2
<p>Changes in the major fatty acid compositions of oils after four days of frying potato chips in canola (CCO), high-oleic acid sunflower (HOSO), super-high-oleic acid safflower (SHOSO), and rice bran (RBO) oils. Frying was conducted for 30 h, equivalent to 90 cycles.</p>
Full article ">Figure 3
<p>Changes in total polar compound contents during frying of potato chips in canola (CCO), high-oleic acid sunflower (HOSO), super-high-oleic acid safflower (SHOSO), and rice bran (RBO) oils. Frying was conducted for 30 h, equivalent to 90 cycles.</p>
Full article ">
14 pages, 741 KiB  
Article
The Effect of Roasting on Oil Content, Fatty Acids, Bioactive Compounds and Mineral Contents of Purslane (Portulaca oleracea L.) Seeds
by Fahad Al Juhaimi, Zehra Beyza Atasoy, Nurhan Uslu, Mehmet Musa Özcan, Isam A. Mohamed Ahmed and Noman Walayat
Foods 2025, 14(5), 732; https://doi.org/10.3390/foods14050732 (registering DOI) - 21 Feb 2025
Abstract
In this study, the effect of oven and microwave roasting at different times on oil content, total phenol, flavonoid, fatty acids, phenolic components and mineral contents of purslane seeds was investigated. The total phenolic quantities of the purslane seeds roasted in the oven [...] Read more.
In this study, the effect of oven and microwave roasting at different times on oil content, total phenol, flavonoid, fatty acids, phenolic components and mineral contents of purslane seeds was investigated. The total phenolic quantities of the purslane seeds roasted in the oven and microwave were characterized to be between 252.0 ± 1.80 (180 °C/5 min in the oven) and 256.6 ± 3.51 (10 min in the oven), and between 216.3 ± 0.28 (720 W/15 min in the microwave) and 203.7 ± 1.93 GAE/100 g (30 min in the microwave), respectively. The highest total flavonoid (613.8 ± 4.36 mg QE/100 g) was detected in the application of roasting in the oven for 10 min. Roasting in the oven for 5 min caused a decrease in the total flavonoid content (584.3 ± 4.95 mg QE/100 g), while roasting for 10 min caused an increase in the flavonoid content (613.8 ± 4.36 mg QE/100 g). The oil yields of purslane seed samples roasted in the oven for 5 min and 10 min were defined as 40.40 ± 0.99% and 45.00 ± 0.71%, respectively. Statistical differences were observed between the oil, total phenol and flavonoid contents of the samples depending on the roasting times in the oven and microwave (p ≤ 0.01). The protein contents of the purslane seeds were established to be between 27.89 ± 0.279% (control) and 37.24 ± 0.407% (10 min in the oven). The calcium (Ca) contents of the purslane seeds changed between 8314.99 ± 327.53 ppm (5 min in the oven) and 4340.62 ± 498.45 ppm (15 min in the microwave), while the phosphorus contents varied between 4905.13 ± 43.02 ppm (15 min in the microwave) and 4051.23 ± 6.39 ppm (unroasted). In addition, the potassium content was found to be between 4565.89 ± 153.47 (5 min in the oven) and 3904.02 ± 7.17 ppm (unroasted). It was also observed that the purslane seeds roasted in the oven for 10 min maintained a linolenic fatty acid content of up to 65.57%. Considering the bioactive properties and phytochemical components of purslane seeds roasted in both roasting systems, they are important in terms of the nutritional enrichment of foods as a food supplement. Full article
(This article belongs to the Section Food Quality and Safety)
Show Figures

Figure 1

Figure 1
<p>Purslane seeds subjected to roasting processes. (<b>a</b>) Oven roasting. (<b>b</b>) Microwave roasting.</p>
Full article ">Figure 2
<p>Fatty acid chromatogram of the oils extracted from roasted purslane seeds: (<b>a</b>) Control; (<b>b</b>) purslane seed oil (oven at 180 °C for 5 min); (<b>c</b>) purslane seed oil (oven at 180 °C for 10 min); (<b>d</b>) purslane seed oil (microwave oven at 720 Watt for 15 min); (<b>e</b>) purslane seed oil (microwave oven at 720 Watt for 30 min).</p>
Full article ">Figure 2 Cont.
<p>Fatty acid chromatogram of the oils extracted from roasted purslane seeds: (<b>a</b>) Control; (<b>b</b>) purslane seed oil (oven at 180 °C for 5 min); (<b>c</b>) purslane seed oil (oven at 180 °C for 10 min); (<b>d</b>) purslane seed oil (microwave oven at 720 Watt for 15 min); (<b>e</b>) purslane seed oil (microwave oven at 720 Watt for 30 min).</p>
Full article ">
24 pages, 2805 KiB  
Article
Chemical Analysis and Antioxidant Activities of Resin Fractions from Pistacia lentiscus L. var. Chia in Neuroblastoma SH-SY5Y Cells
by Achilleas Georgantopoulos, Foteini D. Kalousi, Federica Pollastro, Ioannis Tsialtas, Natasa P. Kalogiouri and Anna-Maria G. Psarra
Molecules 2025, 30(5), 997; https://doi.org/10.3390/molecules30050997 (registering DOI) - 21 Feb 2025
Abstract
Chios mastiha is the natural aromatic resin of Pistacia lentiscus L. var. Chia, Anacardiaceae, which is exclusively cultivated in the southern part of the Greek island of Chios. Chios mastiha (P. lenticonus/Chios mastiha) is well-known for its distinctive taste and [...] Read more.
Chios mastiha is the natural aromatic resin of Pistacia lentiscus L. var. Chia, Anacardiaceae, which is exclusively cultivated in the southern part of the Greek island of Chios. Chios mastiha (P. lenticonus/Chios mastiha) is well-known for its distinctive taste and aroma and has been known since ancient times due to its healing properties in gastrointestinal and inflammatory disorders and because of its anti-bacterial and anti-fungal activities. In this study, the chemical composition, applying LC-QTOF-MS/MS analysis, and the antioxidant activities of three different polarity P. lenticonus/Chios mastiha fractions, apolar, medium polar, and polar, were characterized in human neuroblastoma SH-SY5Y cells. Chemical analysis of the fractions unveiled new components of P. lenticonus/Chios mastiha, mainly fatty acids compounds, known for their antioxidant activity and regulatory effects on lipid metabolism. By applying the MTT assay and confocal microscopy analysis, we showed that P. lenticonus/Chios mastiha fractions, especially the apolar and medium polar fractions, enriched in triterpenes and fatty acids, caused suppression of the H2O2-induced reduction in cell viability, ROS production, and depolarization of the mitochondrial membrane potential, in SH-SY5Y cells. Moreover, Western blot analysis revealed that apolar fraction, enriched in fatty acids, induced expression of the PPARα, which is well-known for its antioxidant activities and its crucial role in lipid metabolism. Induction of PPARα, a GR target gene, was also accompanied by an increase in GR protein levels. Enhanced antioxidant activities of the apolar fraction may be correlated with its chemical composition, enriched in fatty acids and triterpenoids. Thus, our results indicate the neuroprotective actions of P. lenticonus/Chios mastiha fractions, highlighting their potential application as neuroprotective agents in neurodegenerative diseases. Full article
(This article belongs to the Special Issue Natural Compounds for Disease and Health II)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Resistance to H<sub>2</sub>O<sub>2</sub>-induced reduction in neuroblastoma SH-SY5Y cells viability, by the different polarity <span class="html-italic">P. lenticonus</span>/Chios mastiha’s fractions. (<b>A</b>) Relative cell viability, assessed by MTT assay, of SH-SY5Y cells treated with 50–500 μΜ H<sub>2</sub>O<sub>2</sub> for 6 h and 1 mM or 2 mM H<sub>2</sub>O<sub>2</sub> for 3 h. Viability of vehicle-treated (1/1000 <span class="html-italic">v/v</span> DMSO) control cells was set as 1. (<b>B</b>) Relative cell viability of SH-SY5Y cells pretreated or not with ap, mp, and p <span class="html-italic">P. lenticonus</span>/Chios mastiha’s fractions for 24 h and/or not subsequently subjected to 700 μΜ H<sub>2</sub>O<sub>2</sub> for 6 h. Viability of control (vehicle-treated, 1/1000 <span class="html-italic">v/v</span> DMSO) cells was set as 1. Relative cell viability is expressed as the viability of the cells pretreated with various concentrations of the ap, mp, and p fractions compared to the viability of the control cells. Data were analyzed by 1-way ANOVA (<a href="#molecules-30-00997-f001" class="html-fig">Figure 1</a>A) and 2-way ANOVA (<a href="#molecules-30-00997-f001" class="html-fig">Figure 1</a>B), respectively, and are expressed as mean ± SD (<span class="html-italic">n</span> = 4, <span class="html-italic">n</span> = 5), ** <span class="html-italic">p</span> &lt; 0.01 *** <span class="html-italic">p</span> &lt; 0.001.</p>
Full article ">Figure 2
<p>Reduced ROS production in SH-SY5Y cells pretreated with the <span class="html-italic">P. lenticonus</span>/Chios mastiha’s fractions and subsequently subjected to H<sub>2</sub>O<sub>2</sub>-induced oxidative stress. (<b>A</b>) Representative confocal microscopy single images of SH-SY5Y cells stained with Hoechst-33342 (nuclear staining), MitoTracker CMXRos (mitochondrial staining in living cells, Red), DCF (ROS production dye, Green) upon pretreatment with 10 μg/mL ap, 5 μg/mL mp and 10 μg/mL p <span class="html-italic">P. lenticonus</span>/Chios mastiha’s fractions for 24 h and/or not subsequently subjected to 700 μΜ H<sub>2</sub>O<sub>2</sub> for 6 h. Vehicle-treated, control cells were incubated with 1/1000 <span class="html-italic">v/v</span> DMSO. Representative images were taken with Zeiss LSM-800 confocal microscope in 40× objective (<b>B</b>) Quantification analysis of DCF staining per CMX staining of single cells. The ratio of DCF/CMX staining in control cells was set as 1. Data were analyzed by 2-way ANOVA (<a href="#molecules-30-00997-f002" class="html-fig">Figure 2</a>) and relative DCF fluorescence density is expressed as mean ± SD (<span class="html-italic">n</span> = 60–80), *** <span class="html-italic">p</span> &lt; 0.001.</p>
Full article ">Figure 3
<p>Antioxidant activities of the different polarity fractions of <span class="html-italic">P. lenticonus</span>/Chios mastiha’s contribute to the maintenance of the mitochondrial membrane potential in H<sub>2</sub>O<sub>2</sub>-treated SH-SY5Y cells. (<b>A</b>) Representative images of JC-1 staining (JC-1 dimers-red aggregates; JC-1 monomers-green fluorescence) and Hoechst-33342 staining (nuclear staining) in human neuroblastoma SH-SY5Y cells, pretreated or not with 10 μg/mL ap, 5 μg/mL mp and 10 μg/mL p <span class="html-italic">P. lenticonus</span>/Chios mastiha’s fractions for 24 h and then, subjected or not to 700 μΜ H<sub>2</sub>O<sub>2</sub> for 6 h. Vehicle-treated, control cells were incubated with 1/1000 <span class="html-italic">v/v</span> DMSO. Representative images were taken with a Zeiss LSM-800 confocal microscope in 40× objective. (<b>B</b>) Quantification of green to red staining. Data were analyzed by 2-way ANOVA and JC-1 fluorescence relative ratio (JC-1 monomers fluorescence density to relative JC-1 dimers fluorescence density per single cell) is expressed as mean ± SD (<span class="html-italic">n</span> = 35–50), * <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. JC-1 fluorescence ratio of control cells was set as 1.</p>
Full article ">Figure 4
<p>Regulation of the GR, PPARα, and Bcl-2 protein levels by the three different polarity fractions (ap, mp, p) of <span class="html-italic">P. lenticonus</span>/Chios mastiha. SH-SY5Y cells were treated with 20 μg/mL and 10 μg/mL ap and p <span class="html-italic">P. lenticonus</span>/Chios mastiha’s fractions and 10 μg/mL and 5 μg/mL with mp fraction for 24 h and subsequently treated with 700 μΜ H<sub>2</sub>O<sub>2</sub> for 6 h. Vehicle cells were incubated with 1/1000 <span class="html-italic">v/v</span> DMSO. Western blot analysis results were expressed as the ratios of the GR, PPARα, and Bcl-2 band intensity normalized against the respective band intensity of the β-actin. Relative protein levels in control cells were set to 1.</p>
Full article ">
23 pages, 970 KiB  
Article
Synthesis of Enantiostructured Triacylglycerol Prodrugs Constituting an Active Drug Located at Terminal sn-1 and sn-3 Positions of the Glycerol Backbone
by Lena Rós Jónsdottir and Gudmundur G. Haraldsson
Molecules 2025, 30(5), 991; https://doi.org/10.3390/molecules30050991 (registering DOI) - 21 Feb 2025
Abstract
The current paper reports the asymmetric synthesis of a focused library of enantiostructured triacylglycerols (TAGs) constituting a potent drug of the NSAID type (ibuprofen or naproxen) along with a pure bioactive n-3 polyunsaturated fatty acid (PUFA) intended as a novel type of prodrug. [...] Read more.
The current paper reports the asymmetric synthesis of a focused library of enantiostructured triacylglycerols (TAGs) constituting a potent drug of the NSAID type (ibuprofen or naproxen) along with a pure bioactive n-3 polyunsaturated fatty acid (PUFA) intended as a novel type of prodrug. In this second category, a TAG prodrug of the terminal sn-1 or sn-3 position of the glycerol skeleton is acylated with a single saturated medium-chain fatty acid (C6, C8, C10, or C12), and another with the drug entity; the PUFA (EPA or DHA) is located in the sn-2 position. This was accomplished by a six-step chemoenzymatic approach, two of which were promoted by a lipase, starting from enantiopure (R)- and (S)-solketals. The highly regioselective immobilized Candida antarctica lipase (CAL-B) played a crucial role in the regiocontrol of the synthesis. The most challenging key step involved the incorporation of the drugs that were activated as oxime esters by the lipase exclusively in the terminal position of glycerol that is protected as a benzyl ether. All combinations, a total of 32 such prodrug TAGs, were prepared, isolated, and fully characterized, along with 24 acylglycerol intermediates, obtained in very-high-to-excellent yields in the majority of cases. Full article
Show Figures

Figure 1

Figure 1
<p>The structure of TAG prodrug diastereomers <b>1a</b> and <b>1b</b> belongs to the first category prodrugs, and TAG prodrug diastereomers <b>2a</b> and <b>2b</b> belong to the second category prodrugs.</p>
Full article ">Figure 2
<p>Chemoenzymatic synthesis of the second category TAG prodrug diastereomer series (<span class="html-italic">R</span>,<span class="html-italic">S</span>′)-<b>11a</b>–<b>d</b>–<b>14a</b>–<b>d</b>, starting from 1-<span class="html-italic">O</span>-benzyl-<span class="html-italic">sn</span>-glycerol. In the scheme MCFA-CO-, PUFA-CO- and Drug-CO- refer to the corresponding saturated medium-chain fatty acyl, polyunsaturated fatty acyl and drug acyl group substituents, respectively. In box: (<span class="html-italic">S</span>′)-ibuprofen and (<span class="html-italic">S</span>′)-naproxen attached as esters to acylglycerols (AG). The obtained yields of all individual intermediates and products are revealed in <a href="#molecules-30-00991-t001" class="html-table">Table 1</a>, <a href="#molecules-30-00991-t002" class="html-table">Table 2</a>, <a href="#molecules-30-00991-t003" class="html-table">Table 3</a>, <a href="#molecules-30-00991-t004" class="html-table">Table 4</a>, <a href="#molecules-30-00991-t005" class="html-table">Table 5</a>, <a href="#molecules-30-00991-t006" class="html-table">Table 6</a>, <a href="#molecules-30-00991-t007" class="html-table">Table 7</a> and <a href="#molecules-30-00991-t008" class="html-table">Table 8</a>.</p>
Full article ">Figure 3
<p>Chemoenzymatic synthesis of the first category TAG prodrug diastereomer series (<span class="html-italic">S</span>,<span class="html-italic">S</span>′)-<b>11a</b>–<b>d–14a</b>–<b>d</b>, starting from 3-<span class="html-italic">O</span>-benzyl-<span class="html-italic">sn</span>-glycerol. In the scheme SFA-CO-, PUFA-CO- and Drug-CO- refer to the corresponding saturated medium-chain fatty acyl, polyunsaturated fatty acyl and drug acyl group substituents, respectively. In box: (<span class="html-italic">S</span>′)-ibuprofen and (<span class="html-italic">S</span>′)-naproxen attached as esters to acylglycerols (AG). The obtained yields of all individual intermediates and products are revealed in <a href="#molecules-30-00991-t001" class="html-table">Table 1</a>, <a href="#molecules-30-00991-t002" class="html-table">Table 2</a>, <a href="#molecules-30-00991-t003" class="html-table">Table 3</a>, <a href="#molecules-30-00991-t004" class="html-table">Table 4</a>, <a href="#molecules-30-00991-t005" class="html-table">Table 5</a>, <a href="#molecules-30-00991-t006" class="html-table">Table 6</a>, <a href="#molecules-30-00991-t007" class="html-table">Table 7</a> and <a href="#molecules-30-00991-t008" class="html-table">Table 8</a>.</p>
Full article ">Figure 4
<p>Preparation of an activated acetoxime ester (<span class="html-italic">S</span>)-<b>3</b> of ibuprofen by chemical coupling of acetoxime to (<span class="html-italic">S</span>)-ibuprofen.</p>
Full article ">
22 pages, 6312 KiB  
Article
Tissue-Specific Ablation of Liver Fatty Acid-Binding Protein Induces a Metabolically Healthy Obese Phenotype in Female Mice
by Hiba Radhwan Tawfeeq, Atreju I. Lackey, Yinxiu Zhou, Anastasia Diolintzi, Sophia M. Zacharisen, Yin Hei Lau, Loredana Quadro and Judith Storch
Nutrients 2025, 17(5), 753; https://doi.org/10.3390/nu17050753 (registering DOI) - 21 Feb 2025
Abstract
Background/Objectives: Obesity is associated with numerous metabolic complications including insulin resistance, dyslipidemia, and a reduced capacity for physical activity. Whole-body ablation of liver fatty acid-binding protein (LFABP) in mice was shown to alleviate several of these metabolic complications; high-fat (HF)-fed LFABP knockout (LFABP [...] Read more.
Background/Objectives: Obesity is associated with numerous metabolic complications including insulin resistance, dyslipidemia, and a reduced capacity for physical activity. Whole-body ablation of liver fatty acid-binding protein (LFABP) in mice was shown to alleviate several of these metabolic complications; high-fat (HF)-fed LFABP knockout (LFABP-/-) mice developed higher fat mass than their wild-type (WT) counterparts but displayed a metabolically healthy obese (MHO) phenotype with normoglycemia, normoinsulinemia, and reduced hepatic steatosis compared with WT. Since LFABP is expressed in both liver and intestine, in the present study, we generated LFABP conditional knockout (cKO) mice to determine the contributions of LFABP specifically within the liver or within the intestine, to the whole-body phenotype of the global knockout. Methods: Female liver-specific LFABP knockout (LFABPliv-/-), intestine-specific LFABP knockout (LFABPint-/-), and “floxed” LFABP (LFABPfl/fl) control mice were fed a 45% Kcal fat semipurified HF diet for 12 weeks. Results: While not as dramatic as found for whole-body LFABP-/- mice, both LFABPliv-/- and LFABPint-/- mice had significantly higher body weights and fat mass compared with LFABPfl/fl control mice. As with the global LFABP nulls, both LFABPliv-/- and LFABPint-/- mice remained normoglycemic and normoinsulinemic. Despite their greater fat mass, the LFABPliv-/- mice did not develop hepatic steatosis. Additionally, LFABPliv-/- and LFABPint-/- mice had higher endurance exercise capacity when compared with LFABPfl/fl control mice. Conclusions: The results suggest, therefore, that either liver-specific or intestine-specific ablation of LFABP in female mice is sufficient to induce, at least in part, the MHO phenotype observed following whole-body ablation of LFABP. Full article
(This article belongs to the Special Issue Association Between Lipid Metabolism and Obesity)
Show Figures

Figure 1

Figure 1
<p>Experimental scheme. Multiple cohorts of mice were used for the various procedures. Tissues were not collected from mice used for OGTT, OFTT, VLDL secretion, or treadmill test. Created using <a href="http://BioRender.com" target="_blank">BioRender.com</a>.</p>
Full article ">Figure 2
<p>Confirmation of the expression of LFABP in the liver and intestine of LFABP<sup>fl/fl</sup>, LFABP<sup>liv-/-</sup>, and LFABP<sup>int-/-</sup> mice. (<b>A</b>) Western blot analysis confirms the ablation of liver-LFABP in LFABP<sup>liv-/-</sup> (liv-/-) mice; (<b>B</b>) Western blot analysis confirms the ablation of intestine-LFABP in LFABP<sup>int-/-</sup> (int-/-) mice. int, intestine; LFABP, liver fatty acid-binding protein; LFABP<sup>fl/fl</sup>, floxed liver fatty acid-binding protein; LFABP<sup>int-/-</sup>, intestine-specific liver fatty acid-binding protein knockout; LFABP<sup>liv-/-</sup>, liver-specific liver fatty acid-binding protein knockout; liv, liver; pLF, purified liver fatty acid-binding protein.</p>
Full article ">Figure 3
<p>Body weight, body weight gain, and fat mass % for LFABP<sup>fl/fl</sup> (●), LFABP<sup>liv-/-</sup> (<span style="color:#ED7D31">■</span>), and LFABP<sup>int-/-</sup> (<span style="color:#0066FF">▲</span>) mice after 12 weeks of 45% Kcal HF feeding. (<b>A</b>) Body weights (n = 8–10); (<b>B</b>) Body weight gain (n = 8–10); (<b>C</b>) Fat mass percentage (n = 8–9). Data are given as mean ± SD, analyzed using Student’s <span class="html-italic">t</span>-test. *, <span class="html-italic">p</span> &lt; 0.05 and **, <span class="html-italic">p</span> &lt; 0.01 for LFABP<sup>liv-/-</sup> versus LFABP<sup>fl/fl</sup>; #, <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 for LFABP<sup>int-/-</sup> versus LFABP<sup>fl/fl</sup>. LFABP, liver fatty acid-binding protein; LFABP<sup>fl/fl</sup>, floxed liver fatty acid-binding protein; LFABP<sup>int-/-</sup>, intestine-specific liver fatty acid-binding protein knockout; LFABP<sup>liv-/-</sup>, liver-specific liver fatty acid-binding protein knockout.</p>
Full article ">Figure 4
<p>Food intake, intestinal transit times, respiratory exchange ratio, and energy expenditure in LFABP<sup>fl/fl</sup> (●), LFABP<sup>liv-/-</sup> (<span style="color:#ED7D31">■</span>), and LFABP<sup>int-/-</sup> (<span style="color:#0066FF">▲</span>) mice after 12 weeks of 45% Kcal HF feeding. (<b>A</b>) 24 h energy intake, feces excreted, and energy absorbed (n = 4–10); (<b>B</b>) intestinal transit time (n = 7–12); (<b>C</b>) 24 h respiratory exchange ratio (n = 7–10); (<b>D</b>) Energy expenditure (n = 5–7). Data are given as mean ± SD, analyzed using Student’s <span class="html-italic">t</span>-test. FFM, Fat free mass; LFABP<sup>fl/fl</sup>, floxed liver fatty acid-binding protein; LFABP<sup>int-/-</sup>, intestine-specific liver fatty acid-binding protein knockout; LFABP<sup>liv-/-</sup>, liver-specific liver fatty acid-binding protein knockout.</p>
Full article ">Figure 5
<p>Analyses of spontaneous activity and exercise endurance capacity for LFABP<sup>fl/fl</sup> (●), LFABP<sup>liv-/-</sup> (<span style="color:#ED7D31">■</span>), and LFABP<sup>int-/-</sup> (<span style="color:#0066FF">▲</span>) mice after 12 weeks of 45% Kcal HF feeding. (<b>A</b>) 24 h spontaneous activity (n = 8–10); (<b>B</b>) Exercise endurance running time and distance (n = 7–10). Data are given as mean ± SD, analyzed using Student’s <span class="html-italic">t</span>-test. **, <span class="html-italic">p</span> &lt; 0.01 for LFABP cKO mice versus LFABP<sup>fl/fl</sup> mice. AMB, ambulatory; LFABP<sup>fl/fl</sup>, floxed liver fatty acid-binding protein; LFABP<sup>int-/-</sup>, intestine-specific liver fatty acid-binding protein knockout; LFABP<sup>liv-/-</sup>, liver-specific liver fatty acid-binding protein knockout; TOT, total.</p>
Full article ">Figure 6
<p>OGTT for fasted LFABP<sup>fl/fl</sup> (<span style="color:#404040">●</span>), LFABP<sup>liv-/-</sup> (<span style="color:#ED7D31">■</span>), and LFABP<sup>int-/-</sup> (<span style="color:#0066FF">▲</span>) mice after 12 weeks of 45% Kcal HF feeding. (<b>A</b>) OGTT (n = 7–13); (<b>B</b>) OGTT area under the curve (AUC) (n = 7–13). Data are given as mean ± SD for figure (<b>A</b>) and mean ± SE for figure (<b>B</b>), analyzed using Student’s <span class="html-italic">t</span>-test. LFABP, liver fatty acid-binding protein; LFABP<sup>fl/fl</sup>, floxed liver fatty acid-binding protein; LFABP<sup>int-/-</sup>, intestine-specific liver fatty acid-binding protein knockout; LFABP<sup>liv-/-</sup>, liver-specific liver fatty acid-binding protein knockout; OGTT, oral glucose tolerance test.</p>
Full article ">Figure 7
<p>Liver weights and hepatic lipid handling in LFABP<sup>fl/fl</sup> (●), LFABP<sup>liv-/-</sup> (<span style="color:#ED7D31">■</span>), and LFABP<sup>int-/-</sup> (<span style="color:#0066FF">▲</span>) mice after 12 weeks of 45% Kcal HF feeding. (<b>A</b>) Liver weight (n = 9–10); (<b>B</b>) Liver weight/body weight ratio (n = 9–10); (<b>C</b>) Hepatic neutral lipids (TG, CE, and FFA) levels (n = 7–8); (<b>D</b>) Hepatic lipid species (n = 6–8); (<b>E</b>) FA oxidation rate, <sup>14</sup>CO<sub>2</sub> production (n = 8–9); (<b>F</b>) FA oxidation rate, <sup>14</sup>C-labeled ASMs (n = 10–11); (<b>G</b>) Blood VLDL-TG level (n = 5–14); (<b>H</b>) VLDL secretion rates AUC (n = 5-14). Data are given as mean ± SD for panels A–G, and mean ± SE for panel H, analyzed using Student’s <span class="html-italic">t</span>-test. *, <span class="html-italic">p</span> &lt; 0.05 and **, <span class="html-italic">p</span> &lt; 0.01 LFABP<sup>liv-/-</sup> versus LFABP<sup>fl/fl</sup>; #, <span class="html-italic">p</span> &lt; 0.05 for LFABP<sup>int-/-</sup> versus LFABP<sup>fl/fl</sup>. ASM, acid soluble metabolite; CHOL, cholesterol; CE, cholesteryl ester; DG, diglyceride; FA, fatty acid; LFABP<sup>fl/fl</sup>, floxed liver fatty acid-binding protein; LFABP<sup>int-/-</sup>, intestine-specific liver fatty acid-binding protein knockout; LFABP<sup>liv-/-</sup>, liver-specific liver fatty acid-binding protein knockout; MG, monoglyceride; PL, phospholipid; TG, triglyceride.</p>
Full article ">Figure 8
<p>Intestinal lipid handling in LFABP<sup>fl/fl</sup> (●), LFABP<sup>liv-/-</sup> (<span style="color:#ED7D31">■</span>), and LFABP<sup>int-/-</sup> (<span style="color:#0066FF">▲</span>) mice after 12 weeks of 45% Kcal HF feeding. (<b>A</b>) Intestine length/BW ratio (n = 8-21); (<b>B</b>) Intestinal lipid species concentrations (n = 6–9); (<b>C</b>) Intestinal chylomicron secretion rates (blood TG levels) (n = 6–8); (<b>D</b>) Intestinal chylomicron secretion rates AUC (n = 6–8). Data are given as mean ± SD for panels (<b>A</b>–<b>C</b>) and mean ± SE for panel (<b>D</b>), analyzed using Student’s <span class="html-italic">t</span>-test. *, <span class="html-italic">p</span> &lt; 0.05 and **, <span class="html-italic">p</span> &lt; 0.01 for LFABP<sup>liv-/-</sup> versus LFABP<sup>fl/fl</sup>; #, <span class="html-italic">p</span> &lt; 0.05 and ##, <span class="html-italic">p</span> &lt; 0.01 for LFABP<sup>int-/-</sup> versus LFABP<sup>fl/fl</sup>. AUC, area under the curve; BW, body weight; CHOL, cholesterol; CE, cholesteryl ester; DG, diglyceride; FFA, free fatty acid; LFABP<sup>fl/fl</sup>, floxed liver fatty acid-binding protein; LFABP<sup>int-/-</sup>, intestine-specific liver fatty acid-binding protein knockout; LFABP<sup>liv-/-</sup>, liver-specific liver fatty acid-binding protein knockout; MG, monoglyceride; PL, phospholipid; TG, triglyceride; SI, small intestine.</p>
Full article ">Figure 9
<p>Tissue FA uptake after oral administration of <sup>14</sup>C-oleic acid to 12-week HFD-fed LFABP<sup>fl/fl</sup> (●), LFABP<sup>liv-/-</sup> (<span style="color:#ED7D31">■</span>), and LFABP<sup>int-/-</sup> (<span style="color:#0066FF">▲</span>) mice following an overnight fast. FA uptake into WAT, liver, P. Int, D. Int, gastrocnemius muscle, <sup>14</sup>C-oleic acid appearance in the feces and the blood (n = 6–7). Data are given as mean ± SD, analyzed using Student’s <span class="html-italic">t</span>-test. *, <span class="html-italic">p</span> &lt; 0.05 for LFABP<sup>liv-/-</sup> versus LFABP<sup>fl/fl</sup>. #, <span class="html-italic">p</span> &lt; 0.05 for LFABP<sup>int-/-</sup> versus LFABP<sup>fl/fl</sup>. D. Int, distal intestine; LFABP<sup>fl/fl</sup>, floxed liver fatty acid-binding protein; LFABP<sup>int-/-</sup>, intestine-specific liver fatty acid-binding protein knockout; LFABP<sup>liv-/-</sup>, liver-specific liver fatty acid-binding protein knockout; P. Int, proximal intestine; WAT, white adipose tissue.</p>
Full article ">Figure 10
<p>Relative quantitation of mRNA expression of genes involved in liver and intestinal lipid homeostasis in 45% Kcal fat HF-fed LFABP<sup>fl/fl</sup> and cKO mice. (<b>A</b>) Expression of hepatic genes involved in FA/lipid uptake and FA transport (n = 4–9); (<b>B</b>) Expression of hepatic genes involved in FA synthesis and oxidation (n = 4–9); (<b>C</b>) Expression of hepatic genes involved in TG metabolism and expression of transcriptional genes (n = 4–9); (<b>D</b>) Expression of intestinal genes involved in lipid metabolic pathways (n = 5–6); Data are given as mean ± SD, analyzed using Student’s <span class="html-italic">t</span>-test. *, <span class="html-italic">p</span> &lt; 0.05 for LFABP<sup>liv-/-</sup> versus LFABP<sup>fl/fl</sup>; #, <span class="html-italic">p</span> &lt; 0.05 for LFABP<sup>int-/-</sup> versus LFABP<sup>fl/fl</sup>. LFABP<sup>fl/fl</sup>, floxed liver fatty acid-binding protein; LFABP<sup>int-/-</sup>, intestine-specific liver fatty acid-binding protein knockout; LFABP<sup>liv-/-</sup>, liver-specific liver fatty acid-binding protein knockout.</p>
Full article ">Figure 10 Cont.
<p>Relative quantitation of mRNA expression of genes involved in liver and intestinal lipid homeostasis in 45% Kcal fat HF-fed LFABP<sup>fl/fl</sup> and cKO mice. (<b>A</b>) Expression of hepatic genes involved in FA/lipid uptake and FA transport (n = 4–9); (<b>B</b>) Expression of hepatic genes involved in FA synthesis and oxidation (n = 4–9); (<b>C</b>) Expression of hepatic genes involved in TG metabolism and expression of transcriptional genes (n = 4–9); (<b>D</b>) Expression of intestinal genes involved in lipid metabolic pathways (n = 5–6); Data are given as mean ± SD, analyzed using Student’s <span class="html-italic">t</span>-test. *, <span class="html-italic">p</span> &lt; 0.05 for LFABP<sup>liv-/-</sup> versus LFABP<sup>fl/fl</sup>; #, <span class="html-italic">p</span> &lt; 0.05 for LFABP<sup>int-/-</sup> versus LFABP<sup>fl/fl</sup>. LFABP<sup>fl/fl</sup>, floxed liver fatty acid-binding protein; LFABP<sup>int-/-</sup>, intestine-specific liver fatty acid-binding protein knockout; LFABP<sup>liv-/-</sup>, liver-specific liver fatty acid-binding protein knockout.</p>
Full article ">
24 pages, 1074 KiB  
Review
The Impact of Immunomodulatory Components Used in Clinical Nutrition—A Narrative Review
by Aleksandra Raczyńska, Teresa Leszczyńska, Piotr Skotnicki and Aneta Koronowicz
Nutrients 2025, 17(5), 752; https://doi.org/10.3390/nu17050752 (registering DOI) - 21 Feb 2025
Abstract
Background: Malnutrition is a clinical condition that leads to unfavourable changes in health. It affects 35–55% of hospitalized patients, and in the case of cancer, this prevalence rises to 40–90% of patients. Screening nutritional status is essential for preventing undernutrition, which is crucial [...] Read more.
Background: Malnutrition is a clinical condition that leads to unfavourable changes in health. It affects 35–55% of hospitalized patients, and in the case of cancer, this prevalence rises to 40–90% of patients. Screening nutritional status is essential for preventing undernutrition, which is crucial as its treatment. Undernutrition in patients after severe injuries significantly increases catabolic changes. Cytokines and hormones, such as epinephrine, glucagon, and cortisol, are released, which can increase energy expenditure by 50%. Properly conducted nutritional treatment aims to maintain or improve the nutritional status of patients whose nutrition with a natural diet is insufficient, moreover, in some cases, treatment of the underlying disease. Methods: This study is a narrative review focused on immunonutrition. The search for source articles, mainly from the last 10 years, was conducted in the PubMed and Google Schoolar databases, as well as in printed books. The key words used were “malnutrition”, “inflammation”, “clinical nutrition”, “immunomodulatory components”, “nutritional status assessment”, “enteral nutrition”, “parenteral nutrition”, and their combinations. Results: Providing substances such as omega-3 fatty acids, glutamine, arginine, nucleotides, antioxidants, and prebiotic fiber has a beneficial impact on immunological and anti-inflammatory pathways. The above-mentioned ingredients may inhibit the secretion of pro-inflammatory cytokines, activate anti-inflammatory cytokines, stimulate immune cells, and have a beneficial effect in allergic diseases, respiratory infections, or wound healing. Conslusion: Immunonutrition can be administrated via oral, enteral, and parenteral routes. It is crucial to highlight the importance of proper nutritional status in patients. The relationship between inflammation and malnutrition creates a vicious cycle, where one negatively affects the other due to increased metabolic demand, loss of appetite, weakened immune system, and gut dysbiosis. Full article
(This article belongs to the Special Issue The Effect of Bioactive Compounds in Anti-inflammation)
Show Figures

Figure 1

Figure 1
<p>Algorithm of action in clinical nutrition [<a href="#B3-nutrients-17-00752" class="html-bibr">3</a>].</p>
Full article ">Figure 2
<p>Simplified impact of immunonutrition. Immunonutrition plays a key role in modulating the immune response and reducing inflammation, which translates into improved clinical parameters for patients. Nutrients such as glutamine, arginine, omega-3 fatty acids, vitamins (E, D, and C), nucleotides, and microelements (selenium, zinc, and magnesium) have significant immunomodulatory effects, influencing the functioning of immune cells and inflammatory processes. Omega-3 fatty acids and vitamins E, D, C have the ability to reduce (as indicated by arrows) the activity of pro-inflammatory cytokines. Reducing inflammation through appropriate nutritional intervention translates into numerous clinical benefits, including reduced infection rates, improved immunological parameters in surgical patients, increased efficacy of anticancer therapies (radiotherapy and chemotherapy), and shortened hospitalization time. Consequently, immunonutrition is an important element of supportive therapy that can significantly improve treatment outcomes and quality of life of patients [<a href="#B68-nutrients-17-00752" class="html-bibr">68</a>,<a href="#B69-nutrients-17-00752" class="html-bibr">69</a>,<a href="#B70-nutrients-17-00752" class="html-bibr">70</a>,<a href="#B71-nutrients-17-00752" class="html-bibr">71</a>,<a href="#B72-nutrients-17-00752" class="html-bibr">72</a>,<a href="#B73-nutrients-17-00752" class="html-bibr">73</a>,<a href="#B74-nutrients-17-00752" class="html-bibr">74</a>,<a href="#B75-nutrients-17-00752" class="html-bibr">75</a>,<a href="#B76-nutrients-17-00752" class="html-bibr">76</a>].</p>
Full article ">
18 pages, 3263 KiB  
Article
Description and Comparative Genomics of Algirhabdus cladophorae gen. nov., sp. nov., a Novel Aerobic Anoxygenic Phototrophic Bacterial Epibiont Associated with the Green Alga Cladophora stimpsonii
by Olga Nedashkovskaya, Sergey Baldaev, Alexander Ivaschenko, Evgenia Bystritskaya, Natalia Zhukova, Viacheslav Eremeev, Andrey Kukhlevskiy, Valeria Kurilenko and Marina Isaeva
Life 2025, 15(3), 331; https://doi.org/10.3390/life15030331 - 21 Feb 2025
Abstract
A novel, strictly aerobic, non-motile, and pink-pigmented bacterium, designated 7Alg 153T, was isolated from the Pacific green alga Cladophora stimpsonii. Strain 7Alg 153T was able to grow at 4–32 °C in the presence of 1.5–4% NaCl and hydrolyze L-tyrosine, gelatin, [...] Read more.
A novel, strictly aerobic, non-motile, and pink-pigmented bacterium, designated 7Alg 153T, was isolated from the Pacific green alga Cladophora stimpsonii. Strain 7Alg 153T was able to grow at 4–32 °C in the presence of 1.5–4% NaCl and hydrolyze L-tyrosine, gelatin, aesculin, Tweens 20, 40, and 80 and urea, as well as produce catalase, oxidase, and nitrate reductase. The novel strain 7Alg 153T showed the highest similarity of 96.75% with Pseudaestuariivita rosea H15T, followed by Thalassobius litorarius MME-075T (96.60%), Thalassobius mangrovi GS-10T (96.53%), Tritonibacter litoralis SM1979T (96.45%), and Marivita cryptomonadis CL-SK44T (96.38%), indicating that it belongs to the family Roseobacteraceae, the order Rhodobacteales, the class Alphaproteobacteria, and the phylum Pseudomonadota. The respiratory ubiquinone was Q-10. The main polar lipids were phosphatidylethanolamine, phosphatidylglycerol, diphosphatidylglycerol, phosphatidylcholine, two unidentified aminolipids, and one unidentified lipid. The predominant cellular fatty acids (>5%) were C18:1 ω7c, C16:0, C18:0, and 11-methyl C18:1 ω7c. The 7Alg 153T genome is composed of a single circular chromosome of 3,786,800 bp and two circular plasmids of 53,157 bp and 37,459 bp, respectively. Pan-genome analysis showed that the 7Alg 153T genome contains 33 genus-specific clusters spanning 92 genes. The COG20-annotated singletons were more often related to signal transduction mechanisms, cell membrane biogenesis, transcription, and transport, and the metabolism of amino acids. The complete photosynthetic gene cluster (PGC) for aerobic anoxygenic photosynthesis (AAP) was found on a 53 kb plasmid. Based on the phylogenetic evidence and phenotypic and chemotaxonomic characteristics, the novel isolate represents a novel genus and species within the family Roseobacteraceae, for which the name Algirhabdus cladophorae gen. nov., sp. nov. is proposed. The type strain is 7Alg 153T (=KCTC 72606T = KMM 6494T). Full article
Show Figures

Figure 1

Figure 1
<p>16S rRNA phylogenetic tree of 7Alg 153<sup>T</sup> (in bold) and type strains of <span class="html-italic">Roseobacteracea</span> species. The branch lengths represent the expected number of substitutions per site. The bootstrap values larger than 60% are shown above the branches as NJ/ML/MP numbers based on 1000 replicates. The scale bar is 0.01 substitutions per nucleotide position.</p>
Full article ">Figure 2
<p>ML phylogenomic tree showing position of 7Alg153<sup>T</sup> among type strains of <span class="html-italic">Roseobacteraceae</span> genera based on concatenated sequences of 400 translated proteins. Bootstrap values are based on 100 replicates. <span class="html-italic">Caulobacter vibrioides</span> was used as outgroup. Scale bar is 0.20 substitutions per amino acid position.</p>
Full article ">Figure 3
<p>Chromosome map of 7Alg153<sup>T</sup> created using Proksee server [<a href="#B57-life-15-00331" class="html-bibr">57</a>]. The scales are shown on the inside circles in megabases (Mbp) for chromosome and kilobases (Kbp) for plasmids. The figure also shows <span class="html-italic">rrn</span> operon (red label) and <span class="html-italic">oriC</span> (<span class="html-italic">dnaA</span>) (light violet label).</p>
Full article ">Figure 4
<p>Occurrence of orthologous gene clusters among related genera strains of the 7Alg 153<sup>T</sup> clade. On the left, green or light green colors indicate the presence or absence of orthologous gene clusters. The blue gradation indicates the number of orthologous gene clusters.</p>
Full article ">Figure 5
<p>(<b>a</b>) The pan-genome of members of the 7Alg 153<sup>T</sup>. Circle bars show the presence/absence of 10,762 gene clusters in each genome. Gene clusters are colored as red for core, blue for shell, green for cloud, and yellow for singletons using Euclidian distance and Ward ordination. The heatmap placed in the upper right corner presents pairwise values of ANI (in %). The columns below the heatmap show the following ranges: gene cluster number (0–4093), singleton number (0–1392), GC-content (0–59%), and total genome length (0–3,966,869 bp). The strain 7Alg153<sup>T</sup> is colored in orange. Other information included in the figure comprises InterPro, GO, and COG20 Function module. (<b>b</b>) Discrimination of the 7Alg 153<sup>T</sup> clade members based on completeness of predicted KEGG pathway modules.</p>
Full article ">Figure 6
<p>Comparison of PGC structures of 7Alg 153<sup>T</sup>, <span class="html-italic">Nereida ignava</span> DSM 16309<sup>T</sup>, <span class="html-italic">Planktomarina temperata</span> RCA23<sup>T</sup>, <span class="html-italic">Sulfitobacter algicola</span> 1151<sup>T</sup>, and <span class="html-italic">Pseudaestuariivita rosea</span> H15<sup>T</sup> (<b>a</b>) and MLST neighbor-net phylogenetic network based on concatenated <span class="html-italic">bchX</span>, <span class="html-italic">bchY</span>, <span class="html-italic">bchZ</span>, <span class="html-italic">pufM</span>, <span class="html-italic">pufL</span>, and <span class="html-italic">puhA</span> translated sequences (<b>b</b>). Genes coding for photosynthetic assembly factors (<span class="html-italic">puh</span>) are marked with a green label, for bacteriochlorophyll biosynthesis (<span class="html-italic">bch</span>) with a blue label, for proteins forming the reaction centers (<span class="html-italic">puf</span>) with a purple label, for carotenoid biosynthesis (<span class="html-italic">crt</span>) with a red label, and an orange label shows genes not associated with anoxygenic photosynthetic processes.</p>
Full article ">
11 pages, 1992 KiB  
Article
Classification of Packaged Vegetable Soybeans Based on Freshness by Metabolomics Combined with Convolutional Neural Networks
by Yoshio Makino, Yuta Kurokawa, Kenji Kawai and Takashi Akihiro
Metabolites 2025, 15(3), 145; https://doi.org/10.3390/metabo15030145 - 21 Feb 2025
Abstract
Background/Objectives: Effectiveness of modified atmosphere (MA) packaging for the preservation of the freshness of vegetable soybeans was confirmed by using metabolomics combined with convolutional neural networks (CNNs). Methods: Stored under a low O2, high CO2 environment, the vegetable soybeans’ freshness [...] Read more.
Background/Objectives: Effectiveness of modified atmosphere (MA) packaging for the preservation of the freshness of vegetable soybeans was confirmed by using metabolomics combined with convolutional neural networks (CNNs). Methods: Stored under a low O2, high CO2 environment, the vegetable soybeans’ freshness was tracked through changes in hue angle on the surface of the crops and metabolite levels compared to those stored under normoxia. Results: MA packaging slowed respiration and reduced pectin decomposition, succinic acid oxidation, and fatty acid consumption, all linked to freshness maintenance. Using 62 key metabolite concentrations as inputs, CNNs classified vegetable soybean freshness into seven categories with 92.9% accuracy, outperforming traditional linear discriminant analysis by 14.3%. Conclusions: These findings demonstrate MA packaging’s effectiveness in extending freshness of vegetable soybeans by monitoring specific metabolic changes. This will contribute to the advancement of research aimed at elucidating the relationship between freshness and metabolism in horticultural crops. Full article
Show Figures

Figure 1

Figure 1
<p>Temporal changes in O<sub>2</sub> (unfilled symbols) and CO<sub>2</sub> (filled symbols) concentrations inside oriented polypropylene pouches with perforations containing vegetable soybeans stored for 21 d at 10 °C. Symbols: Circles denote pouches with six perforations of 6 mm diameter (normoxia). Squares denote pouches with one perforation of 6 mm diameter (creating a reduced O<sub>2</sub> and elevated CO<sub>2</sub>, modified atmosphere). Values are presented as the means ± SE of observations from five different biological samples. Symbols with the same letter over them, for the same type of gas, denote no significant difference at <span class="html-italic">p</span> &lt; 0.05 using Tukey’s honestly significant difference test.</p>
Full article ">Figure 2
<p>Temporal changes in hue angles of vegetable soybeans sealed in oriented polypropylene pouches with perforations stored for 21 d at 10 °C. Symbols: Circles denote pouches with six perforations of 6 mm diameter (normoxia). Squares denote pouches with one perforation of 6 mm diameter (creating a reduced O<sub>2</sub> and elevated CO<sub>2</sub>, modified atmosphere). Values are presented as the means ± SE of observations from five different biological samples. Symbols with the same letter denote no significant differences at <span class="html-italic">p</span> &lt; 0.05 using Tukey’s honestly significant difference test.</p>
Full article ">Figure 3
<p>Cluster analysis (Ward’s method) of 62 types of metabolites (dry basis) in vegetable soybeans sealed in oriented polypropylene pouches with perforations and stored for 21 d at 10 °C. Normoxia (pouches with six perforations of 6 mm diameter) and MA (pouches with one perforation of 6 mm diameter, reduced O<sub>2</sub>, and elevated CO<sub>2</sub>). All data obtained from five different biological samples. Color cells with the same letter for the same metabolite denote no significant difference at <span class="html-italic">p</span> &lt; 0.05 using Tukey’s honestly significant difference test.</p>
Full article ">Figure 4
<p>Execution conditions and architecture of the convolution neural networks (CNNs). Initial values in Sony Neural Network Console ver. 2.10 [<a href="#B22-metabolites-15-00145" class="html-bibr">22</a>] were as follows: batch size 4, maximum number of epochs 100. Error calculated from categorical cross-entropy was 0.195. MA: modified atmosphere; Affine, Tan, SELU, Softmax, categorical cross-entropy: functions used in CNNs [<a href="#B22-metabolites-15-00145" class="html-bibr">22</a>].</p>
Full article ">
19 pages, 5523 KiB  
Article
Erwinia plantamica sp. nov., a Non-Phytopathogenic Bacterium Isolated from the Seedlings of Spring Wheat (Triticum aestivum L.)
by Anna Egorshina, Mikhail Lukyantsev, Sergey Golubev, Eugenia Boulygina, Irina Khilyas and Anna Muratova
Microorganisms 2025, 13(3), 474; https://doi.org/10.3390/microorganisms13030474 (registering DOI) - 20 Feb 2025
Abstract
Erwinia are widely known as phytopathogenic bacteria, but among them, there are also plant-friendly strains that can promote plant growth (PGPR). The Erwinia-like strain OPT-41 was isolated from Triticum aestivum seedlings as a potential PGPR. The cells (0.9–1.3 × 1.5–3.1 µm) of [...] Read more.
Erwinia are widely known as phytopathogenic bacteria, but among them, there are also plant-friendly strains that can promote plant growth (PGPR). The Erwinia-like strain OPT-41 was isolated from Triticum aestivum seedlings as a potential PGPR. The cells (0.9–1.3 × 1.5–3.1 µm) of this microorganism are Gram-negative, rod-shaped, motile (with peritrichous flagella), and non-spore- and non-capsule-forming. The 16S rRNA gene sequence analyses showed it is located in the Erwiniaceae family and has a pairwise similarity above the species delineation threshold of 98.65% with several of its members: Erwinia tasmaniensis (99.21%), Candidatus Pantoea bathycoeliae (98.93%), Pantoea agglomerans (98.87%), Erwinia endophytica (98.83%), Erwinia persicina (98.82%), Erwinia billingiae (98.76%) and Erwinia aphidicola (98.75%). Whole genome-based taxonomy performed on the Type (Strain) Genome Server clarified the status of strain OPT-41, detecting it as a potential new species in the genus Erwinia. The microorganism under study was the most closely related to the type strain of E. phyllosphaerae, demonstrating 27.2% similarity in dDDH, 83.44% similarity in OrthoANIu, and 1.9% difference in G+C content. The major fatty acids of strain OPT-41 were 9 C16:1, C14:0, and C16:0. A combination of genome-based taxonomy and traditional polyphasic taxonomy clearly indicated that strain OPT-41 belongs to a novel Erwinia species, for which the name E. plantamica sp. nov was proposed. OPT-41 (=IBPPM 712=VKM B-3874D=CCTCC AB 2024361) has been designated as the type strain. In addition, OPT-41 was found to have low degradation potential for host plant pectins and proteins and be friendly in Triticum aestivum and Hordeum vulgare crops. Full article
(This article belongs to the Section Plant Microbe Interactions)
Show Figures

Figure 1

Figure 1
<p>Midpoint-rooted maximum-likelihood tree based on the 16S rRNA gene sequences from strain OPT-41 and its phylogenetic neighbors. The evolutionary model used is GTR+GAMMA. Maximum-likelihood (<b>left</b>) and maximum parsimony (<b>right</b>) bootstrap values (&gt;60%) are shown near the branches. GenBank accession numbers are in parentheses. Bar, 0.009 substitutions per nucleotide position.</p>
Full article ">Figure 2
<p>Midpoint-rooted minimum evolution tree based on the whole-genome sequences from strain OPT-41 and its phylogenetic neighbors. The intergenomic distances are calculated by using the GBDP approach. Pseudo-bootstrap values (&gt;60%) based on 100 replications are shown at branch nodes (average branch support, 96.4%).</p>
Full article ">Figure 3
<p>Colonies and cell morphology of strain OPT-41: (<b>a</b>) 24 h colonies on TSA medium; (<b>b</b>) Gram-negative rods in 24 h culture; (<b>c</b>) transmission electron microscopy of single cell grown on R2A for 24 h; (<b>d</b>) transmission electron microscopy of cell division; peritrichous flagella is also seen.</p>
Full article ">Figure 4
<p>The extracellular pectate lyase (<b>a</b>), polygalacturonase (<b>b</b>), protease (<b>c</b>), and cellulase (<b>d</b>) activities measured in the cultural supernatants of <span class="html-italic">Erwinia plantamica</span> OPT-41 and <span class="html-italic">Pectobacterium atroseptcium</span> SCRI1043 after one day (white box charts) and two days (gray box charts) of cultivation in minimal medium supplemented with wheat extract. Asterisks (*) show the significance of the difference (two-tailed Mann–Whitney test, <span class="html-italic">p</span> &lt; 0.05) between variants designated by brackets.</p>
Full article ">Figure 5
<p>Morphological and physiological parameters of <span class="html-italic">Triticum aestivum</span> L. non-inoculated (<span class="html-fig-inline" id="microorganisms-13-00474-i001"><img alt="Microorganisms 13 00474 i001" src="/microorganisms/microorganisms-13-00474/article_deploy/html/images/microorganisms-13-00474-i001.png"/></span>) and inoculated (<span class="html-fig-inline" id="microorganisms-13-00474-i002"><img alt="Microorganisms 13 00474 i002" src="/microorganisms/microorganisms-13-00474/article_deploy/html/images/microorganisms-13-00474-i002.png"/></span>) with <span class="html-italic">Erwinia plantamica</span> strain OPT-41: (<b>a</b>) shoot length, (<b>b</b>) root length, (<b>c</b>) shoot fresh weight, (<b>d</b>) root fresh weight, (<b>e</b>) shoot dry weight, (<b>f</b>) root dry weight, (<b>g</b>) germination energy, (<b>h</b>) final germination, and (<b>i</b>) fungal disease incidence. The data in the figure are the mean ± SD for shoot and root length and the median ± SD for all others.</p>
Full article ">Figure 6
<p>Morphological and physiological parameters of <span class="html-italic">Hordeum vulgare</span> L. non-inoculated (<span class="html-fig-inline" id="microorganisms-13-00474-i003"><img alt="Microorganisms 13 00474 i003" src="/microorganisms/microorganisms-13-00474/article_deploy/html/images/microorganisms-13-00474-i003.png"/></span>) and inoculated (<span class="html-fig-inline" id="microorganisms-13-00474-i004"><img alt="Microorganisms 13 00474 i004" src="/microorganisms/microorganisms-13-00474/article_deploy/html/images/microorganisms-13-00474-i004.png"/></span>) with <span class="html-italic">Erwinia plantamica</span> strain OPT-41: (<b>a</b>) shoot length, (<b>b</b>) root length, (<b>c</b>) shoot fresh weight, (<b>d</b>) root fresh weight, (<b>e</b>) shoot dry weight, (<b>f</b>) root dry weight, (<b>g</b>) germination energy, (<b>h</b>) final germination, and (<b>i</b>) fungal disease incidence. The data in the figure are the mean ± SD for shoot and root length and the median ± SD for all others. Asterisks (*) show the significance of the difference between variants designated by brackets (unpaired <span class="html-italic">t</span> test, <span class="html-italic">p</span> &lt; 0.05, for shoot and root length; two-tailed Mann–Whitney test, <span class="html-italic">p</span> &lt; 0.05, for all others).</p>
Full article ">
15 pages, 3116 KiB  
Article
The Influence of Gold Nanoparticles Addition on Sugarcane Leaves-Derived Silica Xerogel Catalyst for the Production of Biodiesel
by Ncamisile Nondumiso Maseko, Dirk Enke, Pius Adewale Owolawi, Samuel Ayodele Iwarere, Oluwatobi Samuel Oluwafemi and Jonathan Pocock
Gels 2025, 11(3), 153; https://doi.org/10.3390/gels11030153 - 20 Feb 2025
Abstract
Biodiesel was produced via transesterification of canola oil in the presence of a silica xerogel catalyst with deposited gold nanoparticles. The silica-gold catalyst was produced in situ, where gold metal was added to a sodium silicate solution; subsequently, gold nanoparticles were synthesised within [...] Read more.
Biodiesel was produced via transesterification of canola oil in the presence of a silica xerogel catalyst with deposited gold nanoparticles. The silica-gold catalyst was produced in situ, where gold metal was added to a sodium silicate solution; subsequently, gold nanoparticles were synthesised within the solution. The sodium silicate-gold nanoparticles solution was then turned into a silica-gold gel at pH 8.7 and later dried to form silica-gold nanoparticles xerogel. The produced silica-gold nanoparticles xerogel was characterised by X-ray diffraction (XRD), X-ray fluorescence (XRF), transition electron microscopy (TEM), and nitrogen physisorption. The gel had a silica content of 91.6 wt% and a sodium content of 6.4 wt%, with the added gold content being 99.5% retained. The biodiesel produced in the presence of silica-gold nanoparticles xerogel was characterised by gas chromatography-mass spectroscopy (GC-MS) and its physical properties, such as density, kinematic viscosity, flash point, pour point, and cloud point, were also determined. The silica-gold nanoparticles xerogel catalyst remained solid throughout its usage without leaching into the reaction medium. The produced biodiesel contained mostly monounsaturated fatty acid methyl esters and had a yield of 99.2% at optimum reaction conditions. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Transesterification schematic reaction.</p>
Full article ">Figure 2
<p>XRD pattern of silica-gold nanoparticles xerogel.</p>
Full article ">Figure 3
<p>Nitrogen sorption isotherm of silica-gold xerogel catalyst from sugarcane leaves with its corresponding pore diameter distribution.</p>
Full article ">Figure 4
<p>TEM images of silica xerogel (<b>A</b>) and gold nanoparticles deposited on a silica support (<b>B</b>).</p>
Full article ">Figure 5
<p>The effect of reaction time on the yield of biodiesel. Reaction conditions: 3 wt% catalyst loading, 65 °C, and 6:1 methanol-to-oil ratio.</p>
Full article ">Figure 6
<p>The effect of catalyst loading on the yield of biodiesel. Reaction conditions: 65 °C, 6:1 methanol-to-oil ratio, and 40 min reaction time.</p>
Full article ">Figure 7
<p>The effect of methanol-to-oil ratio on biodiesel yield. Reaction conditions: 65 °C, 40 min and 3 wt% catalyst loading.</p>
Full article ">Figure 8
<p>Reusability of silica-gold nanoparticles in the production of biodiesel.</p>
Full article ">Figure 9
<p>GC-MS chromatogram of biodiesel produced from methanol and canola oil using silica-gold nanoparticles as a catalyst.</p>
Full article ">
23 pages, 1530 KiB  
Article
Investigation of Plasticity in Morphology, Organ Traits and Nutritional Composition in Chinese Soft-Shelled Turtle (Pelodiscus sinensis) Under Different Culturing Modes
by Ming Qi, Yang Wang, Liangliang Hu, Guangmei Chen, Tianlun Zheng, Xueyan Ding, Yijiang Bei, Jianjun Tang, Wenjun Ma and Xin Chen
Fishes 2025, 10(3), 89; https://doi.org/10.3390/fishes10030089 (registering DOI) - 20 Feb 2025
Abstract
The Chinese soft-shelled turtle (Pelodiscus sinensis) is an aquatic reptile prized for its nutritional and health benefits. Given its adaptability to various culturing modes including the greenhouse, pond and rice culturing modes, we conducted a comparative analysis of the morphology, organ [...] Read more.
The Chinese soft-shelled turtle (Pelodiscus sinensis) is an aquatic reptile prized for its nutritional and health benefits. Given its adaptability to various culturing modes including the greenhouse, pond and rice culturing modes, we conducted a comparative analysis of the morphology, organ trait and nutritional composition of turtles cultured in three culturing modes. This study investigated the plasticity of morphology and physiology, as well as the variations in nutritional composition across varying culturing modes. The results demonstrated that after approximately 120 days of cultivation, significant changes were observed in the morphology, physiology and nutritional composition of turtles from each culturing mode. In terms of morphology, rice turtles exhibited an arched shell shape, broad plastron, elongated limbs, narrow interocular distance and slender head and neck. Pond turtles displayed similar morphological characteristics to rice turtles, with the additional features of a flattened body shape and narrower plastron. Greenhouse turtles presented a flattened shell shape, narrow plastron, shortened limbs, wider interocular distance and stocky head and neck. Regarding the organ characteristics, the specific weights of liver, viscera, internal fat lumps and condition factors were significantly higher in greenhouse turtles compared to rice turtles and pond turtles (p < 0.05). Conversely, the specific weights of the back carapace, calipash and edible part were significantly lower than those in rice turtles and pond turtles (p < 0.05). Nutritional analysis revealed that crude protein, total amino acid, essential amino acid, flavor amino acid, pharmacodynamic amino acid, collagen and EPA+DHA contents were significantly higher in rice turtles and pond turtles than greenhouse turtles (p < 0.05). However, crude fat and unsaturated fatty acid contents were significantly higher in greenhouse turtles than in rice turtles and pond turtles (p < 0.05). In summary, Chinese soft-shelled turtles exhibited significant morphological and organ plasticity in response to different culturing modes. While the rice and pond culturing modes could enhance the nutritional quality of turtles to some extent, the impact of commercial feed on fatty acid profiles must be carefully considered. Full article
Show Figures

Figure 1

Figure 1
<p>Schematic diagram of morphological indexes of <span class="html-italic">P. sinensis</span>. (<b>a</b>) Indexes on back, (<b>b</b>) indexes on plastron, (<b>c</b>) indexes on flank.</p>
Full article ">Figure 2
<p>Classification results of morphological proportion of <span class="html-italic">P. sinensis</span> by linear discriminant analysis.</p>
Full article ">Figure 3
<p>A correlation network heat map of the relationships between the morphological and biological proportions. The upper right corner is the external morphological indicator and the lower left corner is the biological indicator. <span class="html-italic">p</span> &lt; 0.05 indicates that there is a significant correlation between the data, and <span class="html-italic">p</span> ≥ 0.05 indicates that there is no significant correlation between the data. |r| ≥ 0.3 is defined as a strong correlation between the data, 0.3 &gt; |r| ≥ 0.1 is defined as a moderate correlation between the data and |r| &lt; 0.1 is defined as a weak correlation between the data. The thickness of the correlation line indicates the strength of the correlation between the data. The red line indicates a positive correlation between the data and the blue line indicates a negative correlation.</p>
Full article ">
15 pages, 2181 KiB  
Article
The Role of I-FABP, REG3α, sCD14-ST, and LBP as Indicators of GI Tract Injury in MODS Patients
by Yermek Turgunov, Alina Ogizbayeva, Sofiko Assamidanova, Dmitriy Matyushko, Miras Mugazov, Dana Amanova, Shynggys Nuraly and Yerzhan Sharapatov
Diagnostics 2025, 15(5), 515; https://doi.org/10.3390/diagnostics15050515 - 20 Feb 2025
Abstract
Background/Objectives: The aim of this study was to evaluate potential biomarkers of bacterial translocation (lipopolysaccharide-binding protein (LBP) and soluble CD14 subtype (sCD14-ST)) and intestinal wall damage (intestinal fatty acid binding protein (I-FABP), Zonulin, and regenerating islet-derived protein-3α (REG3α)) in patients with multiple [...] Read more.
Background/Objectives: The aim of this study was to evaluate potential biomarkers of bacterial translocation (lipopolysaccharide-binding protein (LBP) and soluble CD14 subtype (sCD14-ST)) and intestinal wall damage (intestinal fatty acid binding protein (I-FABP), Zonulin, and regenerating islet-derived protein-3α (REG3α)) in patients with multiple organ dysfunction syndrome (MODS). Methods: The study involved 327 patients divided into two groups: Group 1 comprised 227 patients with MODS (main group), while Group 2 comprised 100 patients with identical pathologies but without MODS (control group). To examine these biomarkers in the blood, venous blood was taken in the control group on the day of admission to the hospital, in patients with MODS on the first day of MODS staging, and later on Days 3 and 7 of its development. Levels of these markers in blood serum were determined by enzyme-linked immunosorbent assays according to the manufacturers’ instructions. Results: In the control group, values of all the investigated markers were lower than in the group of MODS patients (p < 0.0001). In the main group, the mortality rate was 44.9% (n = 102). The values of sCD14-ST on Day 1 and of I-FABP and REG3α on Days 1 and 3 were higher in deceased MODS patients (p < 0.05), while LBP levels on Day 7 were conversely lower in the deceased patients (p = 0.006). SOFA and APACHE II scores were higher in the deceased patients (p < 0.0001). Conclusions: In MODS patients, the increased I-FABP, REG3α, and sCD14-ST but decreased LBP levels may indicate increased intestinal wall permeability and bacterial translocation, which may exacerbate the course of multiple organ dysfunction and increase the risk of mortality. Despite the limitations of this study, the studied potential biomarkers can be considered noteworthy candidates for identifying MODS patients at high risk of mortality. Full article
(This article belongs to the Section Clinical Diagnosis and Prognosis)
Show Figures

Figure 1

Figure 1
<p>Schematic representation of the inclusion and exclusion criteria for the study patients.</p>
Full article ">Figure 2
<p>The levels of (<b>a</b>) lipopolysaccharide-binding protein (LBP), (<b>b</b>) soluble CD14 subtype (sCD14-ST), (<b>c</b>) intestinal fatty acid binding protein (I-FABP), (<b>d</b>) regenerating islet-derived protein-3α (REG3α), and (<b>e</b>) Zonulin on Day 1 in the study groups. The Mann–Whitney statistical test was used to identify significant differences for all markers between the study groups.</p>
Full article ">Figure 3
<p>The levels of (<b>a</b>) lipopolysaccharide-binding protein (LBP), (<b>b</b>) soluble CD14 subtype (sCD14-ST), (<b>c</b>,<b>d</b>) intestinal fatty acid binding protein (I-FABP), and (<b>e</b>,<b>f</b>) regenerating islet-derived protein-3α (REG3α) in deceased and surviving patients with multiple organ dysfunction syndrome (MODS). The Mann–Whitney statistical test was used to identify significant differences for all markers between the study groups.</p>
Full article ">Figure 4
<p>ROC analysis of the (<b>a</b>) soluble CD14 subtype (sCD14-ST), (<b>b</b>) lipopolysaccharide-binding protein (LBP), (<b>c</b>) intestinal fatty acid binding protein (I-FABP), and (<b>d</b>) regenerating islet-derived protein-3α (REG3α) in multiple organ dysfunction syndrome patients for the prediction of mortality.</p>
Full article ">
21 pages, 4283 KiB  
Article
Potential of Pterostilbene as an Antioxidant Therapy for Delaying Retinal Damage in Diabetic Retinopathy
by Raquel Burggraaf-Sánchez de las Matas, Isabel Torres-Cuevas, Iván Millán, María del Carmen Desco, Candela Oblaré-Delgado, Miguel Asensi, Salvador Mena-Mollá, Camille Oger, Jean-Marie Galano, Thierry Durand and Ángel Luis Ortega
Antioxidants 2025, 14(3), 244; https://doi.org/10.3390/antiox14030244 - 20 Feb 2025
Abstract
Chronic hyperglycemia is a major driver of neurovascular damage in diabetic retinopathy (DR), a leading cause of preventable blindness in adults. DR progression is often undetected until its advanced stages, with oxidative stress recognized as a primary contributor. In diabetes, oxidative stress disrupts [...] Read more.
Chronic hyperglycemia is a major driver of neurovascular damage in diabetic retinopathy (DR), a leading cause of preventable blindness in adults. DR progression is often undetected until its advanced stages, with oxidative stress recognized as a primary contributor. In diabetes, oxidative stress disrupts retinal cellular balance, damaging proteins, DNA, and lipids, and triggering photoreceptor degeneration. Pterostilbene (Pter), a polyphenol with antioxidant properties, has demonstrated protective effects in DR animal models and was assessed in a pilot clinical study. DR patients treated with 250 mg/day of oral Pter showed a reduction in the development of retinal vascular alterations characteristic of the disease. Urinary analyses confirmed Pter’s role in reducing the lipid peroxidation of polyunsaturated fatty acids (PUFAs), including arachidonic and adrenic acids, indicators of oxidative damage in DR. Pter also improved the GSH/GSSG ratio, reflecting a restored redox balance. However, after six months without treatment, retinal damage indicators reappeared, highlighting the importance of sustained intervention. These findings suggest that Pter may help slow the progression of DR by protecting against oxidative stress and highlight the importance of implementing antioxidant therapies from the diagnosis of diabetes, although its long-term impact and the development of consistent biomarkers deserve more research to optimize DR management. Full article
Show Figures

Figure 1

Figure 1
<p>Pter reduces the development of microvascular lesions. The results were obtained at 0, 12, and 18 months. Control patients were treated with placebo. Pter was administered to the treated group only during the first 12 months. The last result was obtained 6 months later without treatment or placebo (18 months). (<b>a</b>) Eye fundus images of control and Pter-treated patients. The white arrows mark as an example some of the microvascular alterations evaluated. (<b>b</b>) Percentage of microaneurysms in non-treated (control) and treated patients vs. control average values at time 0 after 12 months of treatment and after 18 months (6 months later without treatment). For the evaluation, the fundus images of both eyes that were well focused were selected (n = 19 for control and n = 23 for treated). (<b>c</b>) Diabetic retinopathy severity score for both eyes of each patient (n = 52). Data are presented as mean ± S.D. Differences between groups were assessed using one-way ANOVA, followed by Tukey’s test. * <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.001 versus 0 months. <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01, <sup>###</sup> <span class="html-italic">p</span> &lt; 0.001 versus 12 months.</p>
Full article ">Figure 2
<p>Pter reduces the vessel tortuosity index. Control and treated groups were treated daily with placebo or Pter for 12 months. Data were collected from the superior temporal retinal vein, superior nasal retinal vein, inferior temporal retinal vein, and inferior nasal retinal vein. The results represent the increment in the vessel tortuosity index after 12 months of treatment and 6 months later without Pter supplementation (18 months). The data are presented as the mean ± S.D. of 26 patients. Statistical analysis was performed using a Student’s <span class="html-italic">t</span> test. * <span class="html-italic">p</span> &lt; 0.05 versus control vessel tortuosity index at the beginning of the study.</p>
Full article ">Figure 3
<p>Analytical parameters to evaluate the effect of the treatment on the main risk factors and ocular, liver, and kidney function (n = 26).</p>
Full article ">Figure 4
<p>Blood redox status analyses. Molecules of transsulfuration pathway, GSH synthesis, and redox pairs were evaluated in patients’ blood. Data are presented as mean ± S.D. (n = 26). Statistical analysis was performed using Student’s <span class="html-italic">t</span> test. * <span class="html-italic">p</span> &lt; 0.05 versus values obtained at the beginning of the study (0 months).</p>
Full article ">Figure 5
<p>Box plots representing the variation in lipoperoxidation analytes in urine samples from control and treated patients after 12 months. Lipid peroxidation compounds were derived from (<b>a</b>) arachidonic acid, (<b>b</b>) adrenic acid, and (<b>c</b>) docosahexaenoic acid. The data represent the variation suffered by each patient in each parameter after 12 months of treatment. Boxes indicate the 1st and the 3rd quartiles, the average is shown as a black line, and whiskers mark the maximum and the minimum values. Statistical analysis was performed using the Mann–Whitney U test (n = 6 for control and n = 8 for treated; the determination was only carried out in the patients who delivered urine in the visits carried out in months 0, 12, and 18, without failing in any of them). The statistical difference is indicated as * &lt; 0.05 vs. control.</p>
Full article ">Figure 6
<p>Box plots representing the variation in lipoperoxidation analytes in urine samples from control and treated patients after 18 months. Patients were treated with placebo or Pter (250 mg/day) for 12 months. Urine samples were collected 6 months later, after therapy was stopped (total of 18 months). Lipid peroxidation compounds were derived from (<b>a</b>) arachidonic acid, (<b>b</b>) adrenic acid, and (<b>c</b>) docosahexaenoic acid. The data represent the variation suffered by each patient in each parameter. Boxes indicate the 1st and the 3rd quartiles, the average is shown as a black line, and whiskers mark the maximum and the minimum values. Statistical analysis was performed using a Mann–Whitney U test (n = 6 for control and n = 8 for treated; the determination was only carried out in the patients who delivered urine in the visits carried out in months 0, 12, and 18, without failing in any of them).</p>
Full article ">
17 pages, 1149 KiB  
Article
Malignant Transformed and Non-Transformed Oral Leukoplakias Are Metabolically Different
by Roberta Rayra Martins-Chaves, Victor Coutinho Bastos, Jéssica Gardone Vitório, Filipe Fideles Duarte-Andrade, Thaís dos Santos Fontes Pereira, Flávia Leite-Lima, Thaís Ellen Chaves Gomes, Yuri Abner Rocha Lebron, Victor Rezende Moreira, Monique Sedlmaier França, Lucilaine Valéria de Souza Santos, Liséte Celina Lange, Adriana Nori de Macedo, Carolina Raíssa Costa Picossi, Hélder Antônio Rebelo Pontes, Marina Gonçalves Diniz, Carolina Cavaliéri Gomes, Wagner Henriques de Castro, Gisele André Baptista Canuto and Ricardo Santiago Gomez
Int. J. Mol. Sci. 2025, 26(5), 1802; https://doi.org/10.3390/ijms26051802 - 20 Feb 2025
Abstract
Understanding the early molecular events driving oral carcinogenesis is vital for diagnosing oral squamous cell carcinoma (OSCC) promptly. While metabolic differences between oral leukoplakia (OLK), OSCC, and healthy oral mucosa have been reported, the metabolic changes distinguishing malignant transformed OLKs (MT-OLK) from non-transformed [...] Read more.
Understanding the early molecular events driving oral carcinogenesis is vital for diagnosing oral squamous cell carcinoma (OSCC) promptly. While metabolic differences between oral leukoplakia (OLK), OSCC, and healthy oral mucosa have been reported, the metabolic changes distinguishing malignant transformed OLKs (MT-OLK) from non-transformed OLKs (NT-OLK) remain unexplored. Here, we examine the metabolomic profiles of 5 cases of MT-OLK and 15 of NT-OLK to identify key predictive molecules using untargeted high-performance liquid chromatography-mass spectrometry. The potentially discriminant compounds were highlighted through a robust statistical analysis workflow, and the dysregulated metabolic pathways were illustrated by enrichment analysis. Seventeen molecular features, primarily lipids—including phospholipids, oxidised lipids, cholesteryl esters, and fatty acids—were identified as discriminants between MT-OLK and NT-OLK across statistical and bioinformatic approaches. Pathway enrichment analysis revealed alterations in lipid metabolism, particularly fatty acid synthesis and degradation, steroid hormone biosynthesis, and glycerophospholipid metabolism. Predictive models showed high accuracy (AUC = 0.88) in distinguishing the two groups. This study suggests that metabolomics has the potential to differentiate between MT-OLK and NT-OLK by identifying candidate biomarkers that may contribute to the understanding of malignant transformation. Validation in larger cohorts is warranted to translate these findings into clinical practice. Full article
Show Figures

Figure 1

Figure 1
<p>(<b>A</b>) Unsupervised hierarchical clustering displayed as a dendogram. Distance measure: Pearson. Clustering algorithm: Mean. MT: malignant transformed. Non-MT: non-malignant transformed. (<b>B</b>) 2D scores graph for partial least squares discriminant analysis—PLS-DA. Areas in red, yellow, and blue represent 95% confidence intervals. The graph illustrates clear separation between leukoplakia with varying degrees of dysplasia, with a Q<sup>2</sup> value of 0.5. (<b>C</b>) Unsupervised hierarchical clustering presented as a heatmap shows that non-progressive leukoplakia samples C2, C4, and C11 cluster with transformed leukoplakia samples. However, the groups remain visually distinct overall.</p>
Full article ">Figure 2
<p>(<b>A</b>) ROC curves for the multivariate models built based on average performance from all MCCV (Monte Carlo Cross-Validation) runs. The legend in the bottom right shows the colors of each ROC line, along with the AUC values, confidence intervals (CI), and the number of compounds in each model. (<b>B</b>) Predictive accuracy graph of multivariate models. The red dot highlights the most accurate model (Model 4: 7 molecular features; AUC = 0.88; Accuracy 78.3%). (<b>C</b>) Scatter plot shows predicted class probabilities from Model 4. The classification threshold is at x = 0.5 due to balanced subsampling. Empty points denote transformed oral leukoplakia samples, while filled points represent non-transformed samples. One non-transformed sample (C2) was misclassified out of 15. Images generated using MetaboAnalyst.</p>
Full article ">
Back to TopTop