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16 pages, 993 KiB  
Article
Piriformospora indica Enhances Rice Blast Resistance and Plant Growth
by Manegdebwaoga Arthur Fabrice Kabore, Guanpeng Huang, Changqing Feng, Shuhong Wu, Jiayi Guo, Guofeng Wu, Yiqiong Sun, Samuel Tareke Woldegiorgis, Yufang Ai, Lina Zhang, Wei Liu and Huaqin He
Agronomy 2025, 15(1), 118; https://doi.org/10.3390/agronomy15010118 (registering DOI) - 4 Jan 2025
Abstract
Rice blast disease, caused by Magnaporthe oryzae (M. oryzae), is a significant threat to global rice production. Conventional methods for disease management face limitations, emphasizing the importance of sustainable alternatives. In this study, two rice cultivars with different blast resistance abilities, [...] Read more.
Rice blast disease, caused by Magnaporthe oryzae (M. oryzae), is a significant threat to global rice production. Conventional methods for disease management face limitations, emphasizing the importance of sustainable alternatives. In this study, two rice cultivars with different blast resistance abilities, the susceptible variety CO39 and the resistant variety Pi4b, were used as materials to study the effects of Piriformospora indica (Pi) on the resistance to M. oryzae infection and rice growth. The in vitro tests revealed no direct antagonistic interaction between Pi and M. oryzae. However, the in vivo experiments showed that Pi promoted plant growth by increasing root and shoot length, chlorophyll content, and nitrogen uptake, particularly in CO39 during pathogen infection. Pi inoculation also significantly reduced disease severity, which was indicated by smaller lesion areas and shorter lesion lengths in both cultivars but a more pronounced effect in CO39. This occurred due to the decreasing levels of MDA and the modulating activity of antioxidant enzymes in Pi-inoculated rice plants. At the early stage of M. oryzae infection, the expression of the ethylene signaling gene OsEIN2 and the gibberellin biosynthesis gene OsGA20ox1 in Pi-inoculated CO39 decreased but significantly increased in both rice cultivars at the later stage. The reverse was found for the pathogenesis-related (PR) genes OsPR10 and OsPBZ1 and the blast-resistant genes OsBRG1, OsBRG2, and OsBRW1, suggesting early growth suppression for rice resilience to blast followed by a later shift back to growth. Meanwhile, Pi inoculation increased OsCesA9 expression in rice to strengthen cell walls and establish the primary defense barrier against M. oryzae and upregulated the expression of OsNPR1 without a significant difference in CO39 but downregulated it in Pi4b to activate PR genes to enhance plant resistance. In summary, these results underscore the potential of Pi as a sustainable biological control agent for rice blast disease, which is particularly beneficial for blast-susceptible rice cultivars. Full article
(This article belongs to the Section Pest and Disease Management)
80 pages, 1210 KiB  
Review
Global Insights into Cultured Meat: Uncovering Production Processes, Potential Hazards, Regulatory Frameworks, and Key Challenges—A Scoping Review
by Renata Puppin Zandonadi, Maíra Catharina Ramos, Flavia Tavares Silva Elias and Nathalia Sernizon Guimarães
Foods 2025, 14(1), 129; https://doi.org/10.3390/foods14010129 (registering DOI) - 4 Jan 2025
Abstract
This scoping review aims to understand the cell-based meat production process, including the regulations, potential hazards, and critical points of this production. This review includes studies on cultured meat production processes, health hazards, and regulatory guidelines, excluding those without hazard analysis, incomplete texts, [...] Read more.
This scoping review aims to understand the cell-based meat production process, including the regulations, potential hazards, and critical points of this production. This review includes studies on cultured meat production processes, health hazards, and regulatory guidelines, excluding those without hazard analysis, incomplete texts, or studies published before 2013. The search was performed in eight electronic databases (MEDLINE, Web of Science, Embase, Cochrane Library, Scopus, LILACS, and Google Scholar) using MeSH terms and adaptations for each database. The search for local studies on regulations and guideline documents was complemented by a manual search on the websites of governments and regulatory agencies from different regions (e.g., FDA, FAO, EFSA, USDA, Health Canada, EC, EU, ANVISA/Brazil, MAPA/Brazil, FSANZ, and SFA). This step involved reading full texts to confirm eligibility and extract key data, including author, year, country, study design, objectives, results, cultured meat protocols, health hazards, and hazard control measures, followed by data analysis. A comprehensive search of the databases yielded 1185 studies and 46 regulatory or guidance documents. After removing duplicate studies and applying eligibility criteria to titles, abstracts and full texts, 35 studies and 45 regulatory or guidance documents were included. The cultured meat production protocols are well-established, highlighting potential hazards and critical control points. Although guidance documents and regulations are limited, they are expanding globally. The development and commercialization of cultured meat require clear, and up-to-date regulations and supervision, which are being studied and formulated by regulatory agencies worldwide. Cultured meat production presents some potential hazards (chemical, biological, and physical) that require food safety considerations: (i) genetic stability of cells/cell lines; (ii) microbiological hazards related to cell lines; (iii) exposure to substances used in the production process; (iv) toxicity and allergenicity of the product or its component for the population; (v) post-harvest microbiological contamination; (vi) chemical contamination/residue levels; and (vii) nutritional aspects/risks. Currently, no standardized testing approach exists for cultured meat. However, effective hazard and safety assessment strategies, such as HACCP combined with best practices, should be implemented throughout the production process. Full article
(This article belongs to the Special Issue Advances in Cultured Meat Science and Technology)
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<p>Flow diagram of the literature search and selection phases adapted from the PRISMA guidelines.</p>
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<p>Process for obtaining cultured meat.</p>
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18 pages, 8132 KiB  
Article
Bioinformatics and Deep Learning Approach to Discover Food-Derived Active Ingredients for Alzheimer’s Disease Therapy
by Junyu Zhou, Chen Li, Yong Kwan Kim and Sunmin Park
Foods 2025, 14(1), 127; https://doi.org/10.3390/foods14010127 (registering DOI) - 4 Jan 2025
Abstract
Alzheimer’s disease (AD) prevention is a critical challenge for aging societies, necessitating the exploration of food ingredients and whole foods as potential therapeutic agents. This study aimed to identify natural compounds (NCs) with therapeutic potential in AD using an innovative bioinformatics-integrated deep neural [...] Read more.
Alzheimer’s disease (AD) prevention is a critical challenge for aging societies, necessitating the exploration of food ingredients and whole foods as potential therapeutic agents. This study aimed to identify natural compounds (NCs) with therapeutic potential in AD using an innovative bioinformatics-integrated deep neural analysis approach, combining computational predictions with molecular docking and in vitro experiments for comprehensive evaluation. We employed the bioinformatics-integrated deep neural analysis of NCs for Disease Discovery (BioDeepNat) application in the data collected from chemical databases. Random forest regression models were utilized to predict the IC50 (pIC50) values of ligands interacting with AD-related target proteins, including acetylcholinesterase (AChE), amyloid precursor protein (APP), beta-secretase 1 (BACE1), microtubule-associated protein tau (MAPT), presenilin-1 (PSEN1), tumor necrosis factor (TNF), and valosin-containing protein (VCP). Their activities were then validated through a molecular docking analysis using Autodock Vina. Predictions by the deep neural analysis identified 166 NCs with potential effects on AD across seven proteins, demonstrating outstanding recall performance. The top five food sources of these predicted compounds were black walnut, safflower, ginger, fig, corn, and pepper. Statistical clustering methodologies segregated the NCs into six well-defined groups, each characterized by convergent structural and chemical signatures. The systematic examination of structure–activity relationships uncovered differential molecular patterns among clusters, illuminating the sophisticated correlation between molecular properties and biological activity. Notably, NCs with high activity, such as astragalin, dihydromyricetin, and coumarin, and medium activity, such as luteolin, showed promising effects in improving cell survival and reducing lipid peroxidation and TNF-α expression levels in PC12 cells treated with lipopolysaccharide. In conclusion, our findings demonstrate the efficacy of combining bioinformatics with deep neural networks to expedite the discovery of previously unidentified food-derived active ingredients (NCs) for AD intervention. Full article
(This article belongs to the Special Issue Bioactive Phenolic Compounds from Agri-Food and Its Wastes)
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<p>Assessment of predictive accuracy and residual analysis for the pIC<sub>50</sub> values of ligands interacting with AChE, APP, BACE1, MAPT, PSEN1, TNF-α, and VCP using a random forest regression model. (<b>A</b>) Scatter plots juxtapose the predicted and experimental pIC<sub>50</sub> values for ligands interacting with AChE, APP, BACE1, MAPT, PSEN1, TNF-α, and VCP in both the training (depicted as blue circles) and testing (illustrated as yellow triangles with red edges) datasets. Performance metrics, including mean squared error (MSE), R<sup>2</sup> value, mean absolute error (MAE), and root mean squared error (RMSE), offer insights into the model’s prediction accuracy. (<b>B</b>) The residual analysis highlights disparities between the model-predicted and experimental pIC<sub>50</sub> values. The blue circles denote discrepancies in the training dataset, and the yellow triangles with red edges signify variations in the testing dataset. The red dashed line represents the theoretical ideal of zero residuals, indicating a perfect alignment between the model’s predictions and experimental results. AChE, acetylcholinesterase; APP, amyloid precursor protein; BACE1, beta-secretase 1; MAPT, microtubule-associated protein tau; PSEN1, presenilin-1; TNF-α, tumor necrosis factor; VCP, valosin-containing protein.</p>
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<p>Applicability domain analysis of the interacting ligands via the principal component analysis (PCA). This figure utilizes PCA to assess the dataset variance of compounds interacting with AChE, APP, BACE1, MAPT, PSEN1, TNF-α, and VCP. Each point signifies an interacting ligand positioned by molecular fingerprints, with distinct markers and colors indicating the spread and concentration in the training dataset. The 95% quantile of residuals serves as a cut-off, identifying outliers. The test dataset emphasizes compounds within the applicability domain with a unique edge color. The x and y axes represent the first and second principal components, annotated with variance proportions. PCA, principal component analysis; AChE, acetylcholinesterase; APP, amyloid precursor protein; BACE1, beta-secretase 1; MAPT, microtubule-associated protein tau; PSEN1, presenilin-1; TNF-α, tumor necrosis factor; VCP, valosin-containing protein.</p>
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<p>Distribution and overlap of natural compounds (NCs) in various food sources. (<b>A</b>) A bar chart provides specific information on food sources with more than 10 NCs. (<b>B</b>) An interactive Venn diagram illustrates the distribution and overlap of NCs across the selected food sources, offering insights into their presence and shared compounds. Each Venn diagram section corresponds to a specific food source, with overlapping regions highlighting shared NCs.</p>
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<p>Model performance, optimal clustering, and structure–activity relationships in the prediction of bioactivity of natural compounds (NCs). (<b>A</b>) Scatter plots assess the model’s predictive performance on training (<b>left</b>) and testing (<b>right</b>) datasets for the pIC<sub>50</sub> values. R<sup>2</sup> and root mean squared error (RMSE) metrics quantify predictive accuracy. (<b>B</b>) Optimal cluster count determination using the Elbow and Silhouette Score methods. The Elbow method identifies the best number of clusters based on the rate of decrease in the sum of squared errors (SSE), while the Silhouette Score method gauges cluster quality. Red circle indicated the optimal number of the clusters. (<b>C</b>) Scatter plot visualizes the K-Means clustering of compounds based on molecular attributes and biological activity. (<b>D</b>) The heatmap displays fingerprint bit distribution across the K-Means clusters, revealing patterns and similarities. (<b>E</b>) Structure–activity relationship (SAR) plots illustrate various molecular descriptors against IC<sub>50</sub> values, color-coded by cluster assignment.</p>
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<p>Bioactivities and interactions of natural compounds (NCs) at different levels. (<b>A</b>) pIC<sub>50</sub> distribution across activity levels. This visualization shows pIC<sub>50</sub> distribution across ‘low’, ‘medium’, and ‘high’ activity levels. Box plots depict interquartile range (IQR) with median lines, and whiskers extend to data points within 1.5 times the IQR. Swarm plots represent individual NCs with high affinity, color-coded for medium (5 &lt; pIC<sub>50</sub> ≤ 7) and high activity (pIC<sub>50</sub> &gt; 7). (<b>B</b>) Molecular docking: The NCs’ molecular docking results with target proteins, emphasizing stronger affinity with lower negative energy. (<b>C</b>) Maximum common substructures (MCSs) across activity levels: Panels segregate NCs based on bioactivity levels, showing molecular structures with highlighted maximum common substructures (MCSs). Each grid represents a specific activity level, providing insights into the common functional groups affecting bioactivity. (<b>D</b>) Detailed visualization of the highest affinity interaction: provides a detailed view of the interaction between the target protein and the highest affinity natural compound, offering a complex visualization of specific interactions.</p>
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<p>Cell viability (<b>A</b>) and acetylcholinesterase (AChE) activity (<b>B</b>) Nerve growth factor (NGF)-differentiated PC12 cells with lipopolysaccharide-induced inflammation (LPS, 1 μg/mL) were treated with astragalin, dihydromyricetin, coumarin, quercetin, kaempferol, apigenin, and luteolin for 24 h to measure cell viability and 48 h to measure AChE activity. a–e Different letters on the bar indicated significant differences between the groups at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Lipid peroxidation (<b>A</b>) and protein (<b>B</b>) and mRNA expression (<b>C</b>) of pro-inflammatory cytokines. Nerve growth factor (NGF)-differentiated PC12 cells with lipopolysaccharide-induced inflammation (LPS, 1 μg/mL) were treated with astragalin, dihydromyricetin, coumarin, quercetin, kaempferol, apigenin, and luteolin for 48 h. a–e Different letters on the bar indicated significant differences between the groups at <span class="html-italic">p</span> &lt; 0.05.</p>
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17 pages, 4521 KiB  
Article
Evaluation of Carboxymethyl Cellulose/Gelatin Hydrogel-Based Dressing Containing Cefdinir for Wound Healing Promotion in Animal Model
by Zahra Soleimani, Hadi Baharifar, Najmeh Najmoddin and Kamyar Khoshnevisan
Gels 2025, 11(1), 38; https://doi.org/10.3390/gels11010038 (registering DOI) - 4 Jan 2025
Abstract
The skin serves as a critical barrier against external pathogens, and its wound healing is a complex biological process that requires careful management to ensure optimal tissue regeneration. Hydrogels, a class of hydrophilic polymers, have emerged as promising materials for wound dressings due [...] Read more.
The skin serves as a critical barrier against external pathogens, and its wound healing is a complex biological process that requires careful management to ensure optimal tissue regeneration. Hydrogels, a class of hydrophilic polymers, have emerged as promising materials for wound dressings due to their biocompatibility, biodegradability, and ability to create a moist wound environment conducive to cell proliferation and migration. In this research, a hydrogel dressing containing cefdinir (Cef) was made from a combination of carboxymethyl cellulose (CMC) and gelatin (Gel) by a physical crosslinking method, and their physicochemical, mechanical, and biological properties were investigated. Results show that the addition of Cef does not cause a significant change in the morphology or the tensile strength of the wound dressing. The swelling and degradation rate of the hydrogel slightly increased in the presence of Cef. The presence of Cef enhanced antibacterial effects up to 2.5-fold against P. aeruginosa (35 mm), S. aureus (36 mm), and S. pyogenes (35 mm). The results of the cytotoxicity test showed the absence of cytotoxicity in both drug-containing and drug-free wound dressings, as well as a survival rate of over 75% in cells after 48 h. The drug-containing wound dressing accelerates the formation of the epidermis layer and the production of fibroblast cells, and as a result, accelerates the wound healing process. The percentage of wound healing on the ninth day of treatment for an untreated wound was 30%, while this percentage was 40% with a wound dressing without medicine and 60% with a wound dressing containing medicine, and on the fifteenth day of treatment, the wound treated with both wound dressings had more than 85% healing. As a result, it is possible to use CMC/Gel hydrogel polymeric wound dressing containing Cef as a wound dressing for wound healing, according to the desired physicochemical properties and biocompatibility. Full article
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<p>Scanning electron micrographs of hydrogel samples imaged at 20 kV: (<b>a1</b>,<b>a2</b>) surface morphology of CMC/Gel, (<b>a3</b>) cross-sectional morphology of CMC/Gel, (<b>b1</b>,<b>b2</b>) surface morphology of CMC/Gel/Cef, (<b>b3</b>) cross-sectional morphology of CMC/Gel/Cef.</p>
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<p>FTIR spectra of the CMC/Gel (<b>a</b>) and CMC/Gel/Cef (<b>b</b>) hydrogels.</p>
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<p>The stress–strain curves of CMC/Gel (<b>a</b>) and CMC/Gel/Cef (<b>b</b>) hydrogels.</p>
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<p>The percentage weight change in the hydrogels over 48 h at different pH levels: (<b>a</b>) CMC/Gel at pH 7.4, (<b>b</b>) CMC/Gel/Cef at pH 7.4, (<b>a1</b>) CMC/Gel at pH 9.0, and (<b>b1</b>) CMC/Gel/Cef at pH 9.0.</p>
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<p>Cumulative release % of Cef from CMC/Gel hydrogel at different pHs. * <span class="html-italic">p</span> ˂ 0.05.</p>
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<p>Inhibitory zone images and diameters of control and the hydrogels against <span class="html-italic">S. pyogenes</span> (<b>A</b>), <span class="html-italic">S. aureus</span> (<b>B</b>), and <span class="html-italic">P. aeruginosa</span> (<b>C</b>).</p>
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<p>HFF viability % after different times. (<b>a</b>) CMC/Gel-treated and (<b>b</b>) CMC/Gel/Cef-treated groups, * <span class="html-italic">p</span> ˂ 0.05.</p>
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<p>Wound area images were captured at different time points for (<b>a</b>) CMC/Gel-treated, (<b>b</b>) CMC/Gel/Cef-treated, and (<b>c</b>) control groups.</p>
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<p>Wound closure percentage in mice was measured on different days for (<b>a</b>) CMC/Gel-treated, (<b>b</b>) CMC/Gel/Cef-treated, and (<b>c</b>) control groups. * <span class="html-italic">p</span> ˂ 0.05 and ** <span class="html-italic">p</span> ˂ 0.01.</p>
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<p>Representative H&amp;E-stained histological sections at 100× magnification from postoperative days are shown for (<b>a</b>) CMC/Gel-treated, (<b>b</b>) CMC/Gel/Cef-treated, and (<b>c</b>) control groups.</p>
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19 pages, 4566 KiB  
Article
The Influence of Cell Isolation and Culturing on Natriuretic Peptide Receptors in Aortic Vascular Smooth Muscle Cells
by Christine Rager, Tobias Klöpper, Sabine Tasch, Michael Raymond Whittaker, Betty Exintaris, Andrea Mietens and Ralf Middendorff
Cells 2025, 14(1), 51; https://doi.org/10.3390/cells14010051 (registering DOI) - 4 Jan 2025
Abstract
Vascular smooth muscle cell (SMC) relaxation by guanylyl cyclases (GCs) and cGMP is mediated by NO and its receptor soluble GC (sGC) or natriuretic peptides (NPs) ANP/BNP and CNP with the receptors GC-A and GC-B, respectively. It is commonly accepted that cultured SMCs [...] Read more.
Vascular smooth muscle cell (SMC) relaxation by guanylyl cyclases (GCs) and cGMP is mediated by NO and its receptor soluble GC (sGC) or natriuretic peptides (NPs) ANP/BNP and CNP with the receptors GC-A and GC-B, respectively. It is commonly accepted that cultured SMCs differ from those in intact vessels. Nevertheless, cell culture often remains the first step for signaling investigations and drug testing. Previously, we showed that even popular reference genes changed dramatically after SMC isolation from aorta. Regarding NP receptors, a substantial amount of data relies on cell culture. We hypothesize that the NP/cGMP system in intact aortic tunica media differs from isolated and cultured aortic SMCs. Therefore, we studied isolation and culturing effects on the expression of NP receptors GC-A, GC-B, and NP clearance receptor (NPRC) compared to sGC. We investigated intact tunica media and primary SMCs from the longitudinal halves of the same rat aorta. GC activity was monitored by cyclic guanosine monophosphate (cGMP). In addition, we hypothesize that there are sex-dependent differences in the NP/cGMP cascade in both intact tissue and cultured cells. We, therefore, analyzed a male and female cohort. Expression was quantified by RT-qPCR comparing aortic media and SMCs with our recently validated reference gene (RG) small nuclear ribonucleoprotein 2 (U2). Only GC-A was stably expressed. In intact media, GC-A exceeded GC-B and NPRC. However, GC-B, NPRC, and sGC were dramatically upregulated in cultured SMCs of the same aortae different from the stable GC-A. The expression was mirrored by NP-induced GC activity. In cultured cells, changes in GC activity were delayed compared to receptor expression. Minor differences between both sexes could also be revealed. Thus, isolation and culture fundamentally alter the cGMP system in vascular SMCs with potential impact on drug testing and scRNAseq. Especially, the dramatic increase in the clearance receptor NPRC in culture might distort all physiological ANP, BNP, and CNP effects. Full article
(This article belongs to the Special Issue Role of Vascular Smooth Muscle Cells in Cardiovascular Disease)
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<p>Relative gene expression analyses of the natriuretic peptide (NP)/cyclic guanosine monophosphate (cGMP) pathway components in the intact media and corresponding cultured smooth muscle cells (SMCs) of the rat aortae. The gene expression levels of guanylyl cyclase A (<span class="html-italic">Gc-a</span>) and -B (<span class="html-italic">Gc-b</span>), natriuretic peptide clearance receptor (<span class="html-italic">Nprc</span>), and soluble guanylyl cyclase (<span class="html-italic">sGC</span>) in the (<b>A</b>) intact media (blue dots) and (<b>B</b>) corresponding cultured aortic SMCs of the first culture passage after extraction (P1) (orange dots). Please note the different scales of the <span class="html-italic">y</span>-axis in both graphs highlighted by the red circles. Differences in (<b>A</b>,<b>B</b>) were analyzed by non-parametric Friedman test with Dunn’s correction for multiple comparisons of paired measurements. Individual values are depicted for each gene. The median is indicated by a thick line while whiskers indicate the interquartile range. Direct comparisons between intact media (blue dots) and corresponding cells (orange dots) of each individuum are visualized by connecting lines (<b>C</b>–<b>F</b>)). Individual data points visualize the dispersion and the slope of each line and the amount of change in gene expression for each individual gene. Differences were analyzed using a non-parametric Wilcoxon matched-pairs signed rank test. All data were normalized to small nuclear ribonucleoprotein <span class="html-italic">U2</span> according to the ΔCt method for relative expression analysis. The total cohort (n = 25) consists of male (n = 13) and female (n = 12) rats. Numeric <span class="html-italic">p</span>-values are given for each comparison, while significant differences are highlighted in bold and non-significant values are indicated with (ns).</p>
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<p>Sex-dependent gene expression analyses of the natriuretic peptide (NP)/cyclic guanosine monophosphate (cGMP) pathway components in the intact media and corresponding cultured smooth muscle cells (SMCs) of the rat aortae. The expression levels of guanylyl cyclase A (<span class="html-italic">Gc-a</span>) and -B (<span class="html-italic">Gc-b</span>), natriuretic peptide clearance receptor (<span class="html-italic">Nprc</span>), and soluble guanylyl cyclase (<span class="html-italic">sGC</span>) in the intact media (blue dots) and corresponding cultured aortic SMCs (orange dots) of the first culture passage after extraction (P1) were normalized to small nuclear ribonucleoprotein <span class="html-italic">U2</span> according to the ΔCt method for relative gene expression analysis. Differences in the expression of the genes studied in the intact media of (<b>A</b>) male (n = 13) and (<b>B</b>) female (n = 12) rats and the corresponding SMCs of the same (<b>C</b>) male and (<b>D</b>) female rats were analyzed by non-parametric Friedman test with Dunn’s correction for multiple comparisons of paired values. Pairwise comparison of the relative gene expression levels between the intact media and corresponding cultured SMCs of (<b>E</b>) male and (<b>F</b>) female rat aortae was performed by non-parametric Wilcoxon’s <span class="html-italic">t</span>-test with Holm–Sidak correction for multiple comparisons of paired measurements. The comparison of expression levels in the (<b>G</b>) intact media and (<b>H</b>) cultured SMCs between the male (light blue dots) and female rats (pink dots) was performed by a non-parametric Mann–Whitney test with Holm–Sidak correction for multiple comparisons of unpaired measurements. Individual values are depicted for each gene. The median is indicated by a thick line while whiskers indicate the interquartile range. Numeric <span class="html-italic">p</span>-values are given for each comparison while significant differences are highlighted in bold and non-significant values are indicated with (ns).</p>
Full article ">Figure 2 Cont.
<p>Sex-dependent gene expression analyses of the natriuretic peptide (NP)/cyclic guanosine monophosphate (cGMP) pathway components in the intact media and corresponding cultured smooth muscle cells (SMCs) of the rat aortae. The expression levels of guanylyl cyclase A (<span class="html-italic">Gc-a</span>) and -B (<span class="html-italic">Gc-b</span>), natriuretic peptide clearance receptor (<span class="html-italic">Nprc</span>), and soluble guanylyl cyclase (<span class="html-italic">sGC</span>) in the intact media (blue dots) and corresponding cultured aortic SMCs (orange dots) of the first culture passage after extraction (P1) were normalized to small nuclear ribonucleoprotein <span class="html-italic">U2</span> according to the ΔCt method for relative gene expression analysis. Differences in the expression of the genes studied in the intact media of (<b>A</b>) male (n = 13) and (<b>B</b>) female (n = 12) rats and the corresponding SMCs of the same (<b>C</b>) male and (<b>D</b>) female rats were analyzed by non-parametric Friedman test with Dunn’s correction for multiple comparisons of paired values. Pairwise comparison of the relative gene expression levels between the intact media and corresponding cultured SMCs of (<b>E</b>) male and (<b>F</b>) female rat aortae was performed by non-parametric Wilcoxon’s <span class="html-italic">t</span>-test with Holm–Sidak correction for multiple comparisons of paired measurements. The comparison of expression levels in the (<b>G</b>) intact media and (<b>H</b>) cultured SMCs between the male (light blue dots) and female rats (pink dots) was performed by a non-parametric Mann–Whitney test with Holm–Sidak correction for multiple comparisons of unpaired measurements. Individual values are depicted for each gene. The median is indicated by a thick line while whiskers indicate the interquartile range. Numeric <span class="html-italic">p</span>-values are given for each comparison while significant differences are highlighted in bold and non-significant values are indicated with (ns).</p>
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<p>Measurement of cyclic guanosine monophosphate (cGMP) release by the intact media after the natriuretic peptide (NP) treatment. The cGMP concentrations of the sample supernatants, given in pmol/mL, were normalized to the weight (mg) of the aortic tissue samples. cGMP measurement followed a 30 min incubation time with either atrial natriuretic peptide (ANP) or C-type natriuretic peptide (CNP) at a concentration of 100 nm each. The basic cGMP level of the IBMX (phosphodiesterase inhibitor) control treatment was on average 0.51 pmol/mL per mg tissue. (<b>A</b>–<b>C</b>) Lines connect the single values for the ANP- (black) and CNP- (red) stimulated cGMP of the same individuum. Differences in the ANP- and CNP-induced cGMP release in (<b>A</b>) the total study cohort (n = 20), and (<b>B</b>) in the male (n = 10) and (<b>C</b>) female rats (n = 10) only were calculated by two-tailed non-parametric Wilcoxon’s matched-pairs signed rank test. (<b>D</b>) To explore the influence of sex on the cGMP release, the difference between the ANP- and CNP-induced cGMP release was calculated as Delta<sub>cGMP</sub>(ANP-CNP) and compared between the male (light blue dots) and female (pink dots) individuals by non-parametric Mann–Whitney test of unpaired measurements. Additionally, the (<b>E</b>) ANP- and (<b>F</b>) CNP-induced cGMP release between the male and female rats (n = 10 each) was calculated by the non-parametric Mann–Whitney test of unpaired measurements. Individual values are depicted for each gene. Median is indicated by a thick line while whiskers indicate the interquartile range. Numeric <span class="html-italic">p</span>-values are given for each comparison while significant differences are highlighted in bold and non-significant values are indicated with (ns). Due to the reduced n-number in the male and female groups compared to the total cohort, the resulting <span class="html-italic">p</span>-values should be interpreted in an explorative manner.</p>
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<p>Measurement of cyclic guanosine monophosphate (cGMP) release after the natriuretic peptide (NP) treatment of the cultured aortic smooth muscle cells (SMCs) of the first passage after extraction (P1). The cGMP concentrations of the sample supernatants, given in pmol/mL. cGMP measurement, followed a 30 min incubation time with either atrial natriuretic peptide (ANP) or C-type natriuretic peptide (CNP) at a concentration of 100 nm each. The basic cGMP level of the IBMX (phosphodiesterase inhibitor) control treatment was on average 0.48 pmol/mL. (<b>A</b>–<b>C</b>) Lines connect the single values for the ANP- (black) and CNP- (red) stimulated cGMP of the cells extracted from the same individuum. Differences in the ANP- and CNP-induced cGMP release in (<b>A</b>) the total study cohort (n = 21), and (<b>B</b>) in the male (n = 10) and (<b>C</b>) female rats (n = 11) only were calculated by two-tailed non-parametric Wilcoxon’s matched-pairs signed rank test. (<b>D</b>) To explore the influence of sex on the cGMP release, the difference between the ANP- and CNP-induced cGMP release was calculated as Delta<sub>cGMP</sub>(ANP-CNP) and compared between the male (light blue dots) and female (pink dots) individuals by non-parametric Mann–Whitney test of unpaired measurements. Additionally, the (<b>E</b>) ANP- and (<b>F</b>) CNP-induced cGMP release between the male (n = 10) and female rats (n = 11) was calculated by non-parametric Mann–Whitney test of unpaired measurements. Individual values are depicted for each gene. The median is indicated by a thick line while whiskers indicate the interquartile range. Numeric <span class="html-italic">p</span>-values are given for each comparison while significant differences are highlighted in bold and non-significant differences are indicated with (ns). Due to the reduced n-number in the male and female groups compared to the total cohort, the resulting <span class="html-italic">p</span>-values should be interpreted in an explorative manner.</p>
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<p>(<b>A</b>) Measurement of cGMP release after the natriuretic peptide (NP) treatment of the cultured aortic smooth muscle cells (SMCs) of passage 2 (P2). The cGMP concentrations of the sample supernatants given in pmol/mL. The cGMP measurement followed a 30 min incubation time with either ANP or CNP at a concentration of 100 nm each. The basic cGMP level of the IBMX (phosphodiesterase inhibitor) control treatment was on average 0.09 pmol/mL. Lines connect the single values for atrial natriuretic peptide (ANP)- (black) and C-type natriuretic peptide (CNP)- (red) stimulated cGMP of the cells extracted from the same individuum. Differences between the ANP- and CNP-induced cGMP release in the total study cohort (n = 6) were analyzed by two-tailed non-parametric Wilcoxon’s matched-pairs signed rank test. The numeric <span class="html-italic">p</span>-value was found to be not significant (ns). (<b>B</b>) Comparison of Delta<sub>cGMP</sub>(ANP-CNP) between the cells of the first (P1, n = 21) and second passage (P2, n = 6) by unpaired non-parametric Mann–Whitney test. Due to the reduced n-number of the P2 cohort, the resulting <span class="html-italic">p</span>-value should be interpreted in an explorative manner.</p>
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17 pages, 5065 KiB  
Article
Genome-Wide microRNA Expression Profiling in Human Spermatozoa and Its Relation to Sperm Quality
by Nino-Guy Cassuto, Florence Boitrelle, Hakima Mouik, Lionel Larue, Gwenola Keromnes, Nathalie Lédée, Laura Part-Ellenberg, Geraldine Dray, Léa Ruoso, Alexandre Rouen, John De Vos and Said Assou
Genes 2025, 16(1), 53; https://doi.org/10.3390/genes16010053 (registering DOI) - 4 Jan 2025
Abstract
Background: Sperm samples are separated into bad and good quality samples in function of their phenotype, but this does not indicate their genetic quality. Methods: Here, we used GeneChip miRNA arrays to analyze microRNA expression in ten semen samples selected based on high-magnification [...] Read more.
Background: Sperm samples are separated into bad and good quality samples in function of their phenotype, but this does not indicate their genetic quality. Methods: Here, we used GeneChip miRNA arrays to analyze microRNA expression in ten semen samples selected based on high-magnification morphology (score 6 vs. score 0) to identify miRNAs linked to sperm phenotype. Results: We found 86 upregulated and 21 downregulated miRNAs in good-quality sperm (score 6) compared with bad-quality sperm samples (score 0) (fold change > 2 and p-value < 0.05). MiR-34 (FC × 30, p = 8.43 × 10−8), miR-30 (FC × 12, p = 3.75 × 10−6), miR-122 (FC × 8, p = 0.0031), miR-20 (FC × 5.6, p = 0.0223), miR-182 (FC × 4.83, p = 0.0008) and miR-191 (FC × 4, p = 1.61 × 10−6) were among these upregulated miRNAs. In silico prediction algorithms predicted that miRNAs upregulated in good-quality sperm targeted 910 genes involved in key biological functions of spermatozoa, such as cell death and survival, cellular movement, molecular transport, response to stimuli, metabolism, and the regulation of oxidative stress. Genes deregulated in bad-quality sperm were involved in cell growth and proliferation. Conclusions: This study reveals that miRNA profiling may provide potential biomarkers of sperm quality. Full article
(This article belongs to the Section Human Genomics and Genetic Diseases)
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Figure 1
<p>Differences in the global miRNA expression profiles of S6 and S0 sperm samples. (<b>A</b>). Unsupervised 3D PCA representing the miRNA expression patterns of S6 spermatozoa (<span class="html-italic">n</span> = 5 samples) and S0 spermatozoa (<span class="html-italic">n</span> = 5 samples). Each sample was analyzed using the GeneChip<sup>®</sup> miRNA 4.0 Array. Red dots, S6 samples; blue dots, S0 samples. (<b>B</b>). Hierarchical clustering of the samples using the differentially expressed miRNAs with the highest variation. S6 and S0 samples (n = 5/each group) are clustered in two distinct groups. (<b>C</b>). Heat map of the S6 and S0 miRNA signatures based on the 107 miRNAs that are differentially expressed between S6 and S0 samples. Each column corresponds to a specific miRNA, and each row represents a sperm sample. The color scale reflects the relative miRNA expression levels, with red indicating higher expression and blue indicating lower expression. (<b>D</b>). Violin plots showing the expression of the top 10 upregulated miRNAs in S6 samples based on the TAC analysis of the microarray data. S6: good quality samples, S0: bad quality samples.</p>
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<p>Analysis of GO terms associated with S6-miRNA targets and their functions. (<b>A</b>). Analysis of significantly represented GO terms. Pathway enrichment analyses were carried out using the human gene names of S6-miRNA targets. The size of the blue dots reflects the degree of enrichment, with larger dots representing more significant <span class="html-italic">p</span>-values. (<b>B</b>). GSEA was conducted using the S6-miRNA targets. The heat map illustrates the clustering of genes within the leading-edge subsets, emphasizing the dynamic expression of genes associated with programmed cell death regulation, phosphorylation, positive regulation of cell proliferation, and metabolic processes. Genes are shown on the vertical bars colored from deep blue (top rank) to blank (lowest rank). (<b>C</b>). Bubble plot of the overlapping canonical pathways associated with S6-miRNA targets. The circle size reflects the number of genes involved in the pathway. The canonical pathways were categorized into various types based on the IPA database.</p>
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<p>Top-ranked functional networks of the S6-miRNA target genes. Top networks identified by IPA of S6-miRNA target genes related cell growth and proliferation, cell cycle regulation, DNA replication and repair, system development and function, tissue morphology, reproductive system disorders, cell morphology, cellular assembly and organization, cellular function and maintenance, cell death and survival, and developmental disorders. Green nodes represent genes regulated by S6-miRNAs. Dashed lines represent indirect relationships, while solid lines indicate direct molecular interactions. Within each network, the edge types are defined as follows: a line without an arrowhead signifies binding only, a line ending with a vertical bar represents inhibition, and a line with an arrowhead indicates an “acts on” relationship. *: indicate that several gene identifiers in the dataset file correspond to a single gene in the Global Molecular Network.</p>
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<p>Networks of the S6-miRNA target genes. The IPA tool was used to generate the networks based on the predicted miRNA–mRNA interactions. Pink nodes represent the miRNAs upregulated in S6 samples and green nodes represent the genes targeted by S6-miRNAs. Solid lines represent direct interactions and dashed lines indirect interactions. *: indicate that several gene identifiers in the dataset file correspond to a single gene in the Global Molecular Network.</p>
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<p>The promoters of the predicted S6-miRNA target genes are not differentially methylated. Integrative Genome Viewer snapshots illustrating the methylation levels at individual CpG sites (0–100%) across the examined genes. Each promoter region (red arrow) overlaps with a CpG island (green box).</p>
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<p>Enrichment of S6-miRNA targets in critical signaling pathways and their expression in testes. (<b>A</b>). Pathway analysis (KEGG pathway) using the Pathview server (<a href="https://pathview.uncc.edu/" target="_blank">https://pathview.uncc.edu/</a> (accessed on 17 June 2024)). Highlighted genes are pathway components identified as targets of S6 miRNAs. (<b>B</b>). Expression profile of candidate genes in various human tissues. Expression levels (in Log2 RPKM) of <span class="html-italic">PDGFA</span>, <span class="html-italic">PDGFRA</span>, <span class="html-italic">GRB2</span>, <span class="html-italic">MECP2</span>, <span class="html-italic">MAP2K1</span>, <span class="html-italic">ARHGDIA</span>, and <span class="html-italic">MET</span> in 30 tissues from GTEx. For each gene, the colored circle corresponding to each tissue represents the RPKM value averaged across all samples within that tissue. RPKM stands for reads per kilobase of transcript per million mapped reads.</p>
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13 pages, 296 KiB  
Article
Comparative Analysis of Serum BAFF and IL-17 Levels Pre- and Post-Antipsychotic Treatment for Acute Schizophrenia
by Samar Samoud, Ahlem Mtiraoui, Imen Zamali, Yousr Galai, Naila Hannachi, Wiem Manoubi, Jaafar Nakhli, Hechmi Louzir and Yousri El Kissi
Int. J. Mol. Sci. 2025, 26(1), 385; https://doi.org/10.3390/ijms26010385 (registering DOI) - 4 Jan 2025
Abstract
The interplay between the cytokine network and antipsychotic treatment in schizophrenia remains poorly understood. This study aimed to investigate the impact of psychotropic medications on serum levels of IFN-γ, IL-4, TGF-β1, IL-17, and BAFF, and to explore their relationship with psychopathological features. We [...] Read more.
The interplay between the cytokine network and antipsychotic treatment in schizophrenia remains poorly understood. This study aimed to investigate the impact of psychotropic medications on serum levels of IFN-γ, IL-4, TGF-β1, IL-17, and BAFF, and to explore their relationship with psychopathological features. We recruited 63 patients diagnosed with schizophrenia in the acute phase, all of whom were either drug-naïve or had been drug-free for at least three months. Serum levels of IL-4, IFN-γ, TGF-β1, IL-17, and BAFF were measured at baseline and after six months of antipsychotic treatment. The severity of symptoms was assessed using the Brief Psychiatric Rating Scale (BPRS), the Scale for the Assessment of Positive Symptoms (SAPS), and the Scale for the Assessment of Negative Symptoms (SANS). Fifty-two patients completed the six-month follow-up for immunoassay analysis. Antipsychotic treatment led to a significant decrease in serum levels of IFN-γ, TGF-β1, and IL-17, alongside a significant increase in BAFF levels. Changes in IFN-γ were positively correlated with SANS scores and negatively correlated with Global Assessment of Functioning (GAF) scores. Changes in TGF-β1 were negatively correlated with GAF scores. Changes in BAFF were negatively correlated with SAPS scores. Multivariable regression models were used to explore the association between cytokine level changes (IL-17, BAFF, IFN-γ, and TGF-β1) and independent variables, including demographic (gender, age), behavioral (tobacco use), clinical (schizophrenia type, disease course, date of onset, prior treatment), and biological (C-reactive protein (CRP), erythrocyte sedimentation rate (ESR)) factors, as well as standardized assessment scores. No significant associations were found, except for a significant negative correlation between TGF-β1 changes and GAF scores, as well as a positive correlation with age. Interestingly, advanced statistical analyses revealed that only changes in IL-17 and BAFF levels were significantly associated with antipsychotic treatment. Our findings suggest that antipsychotic drugs exert both pro- and anti-inflammatory effects on the cytokine network. The observed modulation of IL-17 and BAFF highlights their potential as future therapeutic targets in schizophrenia. Full article
(This article belongs to the Special Issue The Role of Cytokines in Diseases)
23 pages, 14672 KiB  
Article
Comparison of the Cytotoxic Mechanisms of Different Garlic (Allium sativum L.) Cultivars with the Crucial Involvement of Peroxisome Proliferator-Activated Receptor Gamma
by Urszula E. Binduga, Aneta Kopeć, Joanna Skoczylas and Konrad A. Szychowski
Int. J. Mol. Sci. 2025, 26(1), 387; https://doi.org/10.3390/ijms26010387 (registering DOI) - 4 Jan 2025
Abstract
Garlic (Allium sativum L.) is one of the oldest known useful plants, valued for thousands of years. This plant contains many biologically active compounds, including polyphenols, sterols, cysteine-sulfoxides, carbohydrates, proteins, and amino acids. The aim of our study was to compare the [...] Read more.
Garlic (Allium sativum L.) is one of the oldest known useful plants, valued for thousands of years. This plant contains many biologically active compounds, including polyphenols, sterols, cysteine-sulfoxides, carbohydrates, proteins, and amino acids. The aim of our study was to compare the antioxidant potential, cytotoxicity, and apoptosis induction properties of four garlic cultivars—Harnaś, Ornak, Violeta, and Morado—in human squamous carcinoma (SCC-15) cells, colon adenocarcinoma (CACO-2) cells, and normal fibroblasts (BJ). Additionally, we investigated the mRNA and protein expression of peroxisome proliferator-activated receptor gamma (PPARγ), microtubule-associated protein 1 light chain 3 (LC3A), superoxide dismutase 1 (SOD1), and catalase (CAT) after treatment with the studied garlic extracts. Our study demonstrated that high ROS production was correlated with the strong toxicity of the garlic extracts. All studied extracts produced a lesser increase in ROS in normal BJ fibroblasts and were less toxic to these cells. The expression patterns of PPARγ, LC3A, SOD1, and CAT, along with chromatographic analysis, suggest differing mechanisms among the garlic cultivars. The highest levels of catechin, a known PPARγ agonist, were detected in the Harnaś (3.892 µg/mL) and Ornak (3.189 µg/mL) cultivars. A high catechin content was correlated with similar changes in PPARγ and related SOD1 and LC3A. Our findings showed the health-promoting and anticancer properties of garlic. However, we could not definitively identify which polyphenol or how it is involved in PPARγ activation. Further studies are required to elucidate the role of PPARγ in the mechanism of action of garlic extracts. Full article
(This article belongs to the Section Bioactives and Nutraceuticals)
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<p>Effect of increasing concentrations (0.062, 0.125, 0.250, 0.500, and 1.000 mg/mL) of extracts from garlic cultivars Harnaś, Ornak, Violeta, and Morado on ROS production in (<b>A</b>–<b>D</b>) BJ, (<b>E</b>–<b>H</b>) CACO-2, and (<b>I</b>–<b>L</b>) SCC-15 cells after 24 h of exposure. Results are presented as mean ± SD. Statistically significant differences from the control are marked as * <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.</p>
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<p>Effect of increasing concentrations (0.062, 0.125, 0.250, 0.500, and 1.000 mg/mL) of extracts from garlic cultivars Harnaś, Ornak, Violeta, and Morado on LDH release in (<b>A</b>–<b>D</b>) BJ, (<b>E</b>–<b>H</b>) CACO-2, and (<b>I</b>–<b>L</b>) SCC-15 cells after 24 h of exposure. Results are presented as mean ± SD. Statistically significant differences from the control are marked as * <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.</p>
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<p>Effect of increasing concentrations (0.062, 0.125, 0.250, 0.500, and 1.000 mg/mL) of extracts from garlic cultivars Harnaś, Ornak, Violeta, and Morado on the level of resazurin reduction in (<b>A</b>–<b>D</b>) BJ, (<b>E</b>–<b>H</b>) CACO-2, and (<b>I</b>–<b>L</b>) SCC-15 cells after 24 h of exposure. Results are presented as mean ± SD. Statistically significant differences from the control are marked as ** <span class="html-italic">p</span> &lt; 0.01 and *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Effect of increasing concentrations (0.062, 0.125, 0.250, 0.500, and 1.000 mg/mL) of extracts from garlic cultivars Harnaś, Ornak, Violeta, and Morado on caspase-3 activity in (<b>A</b>–<b>D</b>) BJ, (<b>E</b>–<b>H</b>) CACO-2, and (<b>I</b>–<b>L</b>) SCC-15 cells after 24 h of exposure. Results are presented as mean ± SD. Statistically significant differences from the control are marked as ** <span class="html-italic">p</span> &lt; 0.01 and *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Effect of 0.250 mg/mL of extracts from garlic cultivars Harnaś, Ornak, Violeta, and Morado on mRNA expression of (<b>A</b>–<b>C</b>) <span class="html-italic">PPARγ</span> and (<b>D</b>–<b>F</b>) <span class="html-italic">LC3A</span> in (<b>A</b>,<b>D</b>) BJ, (<b>B</b>,<b>E</b>) CACO-2, and (<b>C</b>,<b>F</b>) SCC-15 cells after 6 h of exposure. <span class="html-italic">ACTB</span> was used as the reference gene. Results are presented as mean ± SD. Statistically significant differences from the control are marked as * <span class="html-italic">p</span> &lt; 0.05 and *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Effect of 0.250 mg/mL of extracts from garlic cultivars Harnaś, Ornak, Violeta, and Morado on mRNA expression of (<b>A</b>–<b>C</b>) <span class="html-italic">CAT</span> and (<b>D</b>–<b>F</b>) <span class="html-italic">SOD1</span> in (<b>A</b>,<b>D</b>) BJ, (<b>B</b>,<b>E</b>) CACO-2, and (<b>C</b>,<b>F</b>) SCC-15 cells after 6 h of exposure. <span class="html-italic">ACTB</span> was used as the reference gene. Results are presented as mean ± SD. Statistically significant differences from the control are marked as ** <span class="html-italic">p</span> &lt; 0.01 and *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Effect of 0.250 mg/mL of extracts from garlic cultivars Harnaś, Ornak, Violeta, and Morado on protein expression of (<b>A</b>–<b>C</b>) PPARγ and (<b>D</b>–<b>F</b>) LC3A in (<b>A</b>,<b>D</b>) BJ, (<b>B</b>,<b>E</b>) CACO-2, and (<b>C</b>,<b>F</b>) SCC-15 cells after 6 h of exposure. Protein levels were normalised to total protein. Results are presented as mean ± SD. Statistically significant differences from the control are marked as ** <span class="html-italic">p</span> &lt; 0.01 and *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Effect of 0.250 mg/mL of extracts from garlic cultivars Harnaś, Ornak, Violeta, and Morado on protein expression of (<b>A</b>–<b>C</b>) CAT and (<b>D</b>–<b>F</b>) SOD1 in (<b>A</b>,<b>D</b>) BJ, (<b>B</b>,<b>E</b>) CACO-2, and (<b>C</b>,<b>F</b>) SCC-15 cells after 6 h of exposure. Protein levels were normalised to total protein. Results are presented as mean ± SD. Statistically significant differences from the control are marked as * <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.</p>
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<p>Proposed mechanism of action of the tested garlic extracts.</p>
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15 pages, 5514 KiB  
Article
Potassium Current Signature of Neuronal/Glial Progenitors in Amniotic Fluid Stem Cells
by Paola Sabbatini, Sabrina Cipriani, Andrea Biagini, Luana Sallicandro, Cataldo Arcuri, Rita Romani, Paolo Prontera, Alessandra Mirarchi, Rosaria Gentile, Diletta Del Bianco, Elko Gliozheni, Sandro Gerli, Irene Giardina, Maurizio Arduini, Alessandro Favilli, Antonio Malvasi, Andrea Tinelli and Bernard Fioretti
Cells 2025, 14(1), 50; https://doi.org/10.3390/cells14010050 (registering DOI) - 4 Jan 2025
Abstract
Amniotic fluid is a complex and dynamic biological matrix that surrounds the fetus during the pregnancy. From this fluid, is possible to isolate various cell types with particular interest directed towards stem cells (AF-SCs). These cells are highly appealing due to their numerous [...] Read more.
Amniotic fluid is a complex and dynamic biological matrix that surrounds the fetus during the pregnancy. From this fluid, is possible to isolate various cell types with particular interest directed towards stem cells (AF-SCs). These cells are highly appealing due to their numerous potential applications in the field of regenerative medicine for tissues and organs as well as for treating conditions such as traumatic or ischemic injuries to the nervous system, myocardial infarction, or cancer. AF-SCs, when subcultured in the presence of basic Fibroblast Growth Factor (bFGF), have been shown to survive and migrate when transplanted into the striatum of the rat brain, exhibiting behavior characteristics of neuronal/glial progenitor cells. In this work, we performed an electrophysiological characterization to ascertain the propensity of AF-SCs to differentiate into glial and neuronal cells by bFGF. By using patch clamp technique we characterized a fibroblast-like morphology that display a barium-sensitive inward-rectifying potassium current (Kir) and calcium-activated potassium currents (KCa). The electrophysiological and calcium dynamics of histamine, a marker of undifferentiated neural progenitors, was further studied. Histamine promoted intracellular calcium increase by Fura-2 recording and calcium-activated potassium current activation with a similar temporal profile in AF-SC. The data presented in this paper ultimately confirm the expression in AF-SCs of the Kir and KCa currents, also showing regulation by endogenous stimuli such as histamine for the latter. Full article
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Figure 1
<p>Expression of Kir currents in amniotic fluid cells with a fibroblastic morphology. (<b>A</b>) Representative microscopic field displaying the heterogeneous morphology of our cellular preparation; (<b>B</b>) GFAP immunofluorescence staining of a fibroblastic-type morphology observed in our cell preparation, with blue fluorescence due to DAPI nuclear staining; (<b>C</b>) a cell with fibroblast-like morphology during electrophysiological recording, note the microelectrode. (<b>D</b>) A family of currents recorded from a Vh of −40 mV with depolarizing pulses from −140 mV to +100 (with 10 mV increments) at 500 ms. Note the large inward component compared to the outward component, and the noise of the current traces at positive potentials. (<b>E</b>) The I-V relationship of the traces shown in (<b>D</b>) (dot points) constructed by plotting the peak currents as a function of the pulse test. The black solid line represents the current obtained by applying a potential ramp from −140 to +110 (Vh −40 mV) in the same cell as (<b>D</b>). The gray trace is the I-V relationship recorded from a cell with insignificant Kir current by using the ramp protocol described in (<b>E</b>). (<b>F</b>) Bar plot of currents at −120 mV derived from cells with (<span class="html-italic">n</span> = 9) and without Kir (<span class="html-italic">n</span> = 3). * <span class="html-italic">p</span> value &lt; 0.05.</p>
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<p>Activation properties of Kir currents in fibroblastic AF-SCs. (<b>A</b>) The current–voltage relationship obtained by the ramp potential protocol (−140 to +110, Vh −40 mV) under control conditions and in the presence of Ba<sup>2+</sup> (300 µM). (<b>B</b>) The I-V relationship of the Ba-sensitive current obtained by subtraction of the control traces minus the one in Ba<sup>2+</sup> shown in (<b>A</b>). The solid red line represents the best fit with the Boltzmann equation: I = (G*(V − E<sub>k</sub>))/1 + e<sup>(V−V/2)/k</sup>, where G is the macroscopic conductance, E<sub>k</sub> is the equilibrium potential of potassium, V/2 is the gating charge and half-activation potential and k is the voltage sensitivity. The dotted line represents the normalized Boltzmann function obtained from the fit (red line). (<b>C</b>) The bar plot of mean V/2 obtained from five experiments similar to that described in (<b>B</b>).</p>
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<p>The dose and voltage dependences of the Kir Ba<sup>2+</sup> block in amniotic fluid cells. (<b>A</b>) Inward currents recorded by applying a hyperpolarising pulse at −130 mV from a Vh of −40 mV with a duration of 500 ms, under control conditions (ctrl) and various concentrations of Ba<sup>2+</sup> (10, 30, 100 and 300 µM). Note the presence of an instantaneous block (peak) and of a second block that develops during the hyperpolarization test. (<b>B</b>) Dose dependence of mean instantaneous peak currents (<span class="html-italic">n</span> = 3) obtained from similar experiments to those shown in (<b>A</b>). The black line represents the better fit with Hill’s equation. (<b>C</b>) The relationship between the mean reciprocal of the inactivation constant (<span class="html-italic">n</span> = 3) at various Ba<sup>2+</sup> concentrations obtained from experiments similar to those shown in (<b>A</b>). The black line represents the better linear fit (see text for details).</p>
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<p>Calcium-activated potassium currents in amniotic fluid cells. (<b>A</b>) Current ramps obtained by applying linear potential gradients from −140 to 110 from a Vh of −40 mV recorded in ctrl and after ionomycin 1 μM application. Note the increase in outward currents caused by the shift of threshold in voltage activation at negative potentials and characterized by noise. (<b>B</b>) The time course of the −40 mV current measured from current ramps as described in (<b>A</b>) repeated every 15 s. The timing of ionomycin, DCEBIO + ionomycin (100 µM + 500 nM) treatment and co-application with clotrimazole (2 µM) are shown with the bar in the upper part of the graph. Note the transient activation (run-down) of currents during ionomycin application. (<b>C</b>) Current ramps recorded at the times indicated in (<b>B</b>) under different conditions: CTRL (1), ionomycin (2), DCEBIO+ionomycin (3) and DCEBIO + ionomycin+ clotrimazole (4). The arrows in (<b>A</b>,<b>C</b>) indicate the reversal potential of potassium currents in our condition whereas the vertical dashed line indicates −40 mV. (<b>D</b>) A scatter plot of the current activates by DCEBIO + ionomycin at −40 mV (empty dots) and +100 mV (black dots).</p>
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<p>Histamine increases intracellular calcium and activates KCa. (<b>A</b>) The exemplificative calcium imaging experiment that displays the effects of the application of 100 mM of histamine in amniotic cells evaluated by Fura-2-based calcium imaging. The single black traces represent the single-cell recording of the Fura-2 signal recorded in each ROI (region of interest) as indicated with circles in the inset. The red line represents the mean of all traces (<span class="html-italic">n</span> = 14). (<b>B</b>,<b>C</b>) Representative frames of Fura-2 fluorescence recorded at the time indicated in panel (<b>A</b>) before (1) and at the peak of the response to histamine (2), respectively. Note the presence of unresponsive cells (arrows in <b>A</b> and <b>C</b>). (<b>D</b>) The effects of the application of 100 μM of histamine on outward currents at −40 mV during whole-cell perforated configuration recording. (<b>E</b>) The I-V relationships obtained by applying voltage ramp protocols from −140 to 140 (Vh = −40 mV) recorded before (1), at the peak (2) and after peak (3) of histamine activation, respectively, as reported in (<b>D</b>).</p>
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19 pages, 2831 KiB  
Review
Advances in Research on Desalination Technology for High-Sodium Wastewater
by Zhucheng Li, Chunchun Mao, Jingwen Zhang, Tianbao Hou, Zixuan Zhang, Keqiang Zhang, Peng Yang and Zengjun Yang
Sustainability 2025, 17(1), 333; https://doi.org/10.3390/su17010333 (registering DOI) - 4 Jan 2025
Abstract
Amidst escalating global water scarcity challenges, addressing industrial and agricultural wastewater treatment has emerged as a critical concern within environmental conservation efforts. Wastewater desalination technology not only mitigates salt pollution’s impact on ecosystems but also facilitates sustainable water resource management with significant economic [...] Read more.
Amidst escalating global water scarcity challenges, addressing industrial and agricultural wastewater treatment has emerged as a critical concern within environmental conservation efforts. Wastewater desalination technology not only mitigates salt pollution’s impact on ecosystems but also facilitates sustainable water resource management with significant economic and ecological advantages. This study delves into fundamental principles, methodologies, and application prospects in wastewater desalination technology by conducting a comprehensive assessment encompassing physical, chemical, and biological treatment approaches while scrutinizing their practical applicability through analysis of respective merits and drawbacks. Furthermore, this study illuminates specific operational impacts associated with diverse desalinization techniques employed in industrial or agricultural contexts based on prior research findings. The findings underscore that judicious selection of suitable desalinization methods along with optimization of operational parameters are pivotal factors influencing improved rates of sustainable wastewater desalinization. Finally, this paper proposes future directions and research focuses for wastewater desalination technology to provide a reference for related fields. Full article
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<p>Multi-Stage Flashing process.</p>
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<p>Multi-Effect Evaporation process.</p>
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<p>Mechanical Vapor Recompression process.</p>
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<p>Nanofiltration process.</p>
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<p>Reverse osmosis process.</p>
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<p>Membrane distillation process.</p>
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<p>Electrodialysis process.</p>
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<p>Electrosorption process.</p>
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<p>Microbial desalination cell process.</p>
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22 pages, 1270 KiB  
Review
Sex and Region-Specific Differences in Microglial Morphology and Function Across Development
by Indra R. Bishnoi and Evan A. Bordt
Neuroglia 2025, 6(1), 2; https://doi.org/10.3390/neuroglia6010002 (registering DOI) - 4 Jan 2025
Abstract
Microglia are exceptionally dynamic resident innate immune cells within the central nervous system, existing on a continuum of morphologies and functions throughout their lifespan. They play vital roles in response to injuries and infections, clearing cellular debris, and maintaining neural homeostasis throughout development. [...] Read more.
Microglia are exceptionally dynamic resident innate immune cells within the central nervous system, existing on a continuum of morphologies and functions throughout their lifespan. They play vital roles in response to injuries and infections, clearing cellular debris, and maintaining neural homeostasis throughout development. Emerging research suggests that microglia are strongly influenced by biological factors, including sex, developmental stage, and their local environment. This review synthesizes findings on sex differences in microglial morphology and function in key brain regions, including the frontal cortex, hippocampus, amygdala, hypothalamus, basal ganglia, and cerebellum, across the lifespan. Where available, we examine how gonadal hormones influence these microglial characteristics. Additionally, we highlight the limitations of relying solely on morphology to infer function and underscore the need for comprehensive, multimodal approaches to guide future research. Ultimately, this review aims to advance the dialogue on these spatiotemporally heterogeneous cells and their implications for sex differences in brain function and vulnerability to neurological and psychiatric disorders. Full article
8 pages, 220 KiB  
Brief Report
Detection of Anaplasma phagocytophilum DNA in Deer Keds: Massachusetts, USA
by Patrick Pearson, Guang Xu, Eric L. Siegel, Mileena Ryan, Connor Rich, Martin J. R. Feehan, Blake Dinius, Shaun M. McAuliffe, Patrick Roden-Reynolds and Stephen M. Rich
Insects 2025, 16(1), 42; https://doi.org/10.3390/insects16010042 (registering DOI) - 4 Jan 2025
Viewed by 47
Abstract
Deer keds (Lipoptena spp. and Neolipoptena ferrisi) are hematophagous ectoparasites that primarily infest white-tailed deer (Odocoileus virginianus) and other cervids in the United States. The distribution of deer keds in the northeastern United States and the pathogens they harbor [...] Read more.
Deer keds (Lipoptena spp. and Neolipoptena ferrisi) are hematophagous ectoparasites that primarily infest white-tailed deer (Odocoileus virginianus) and other cervids in the United States. The distribution of deer keds in the northeastern United States and the pathogens they harbor remains relatively unexplored. In this study, we examined the geographical distribution and pathogen prevalence of deer keds in Massachusetts by collecting samples from white-tailed deer and testing for tick-borne pathogens. Deer keds were collected across the state, including in four previously unrecorded counties, indicating a wide distribution. Pathogen screening revealed the presence of Anaplasma phagocytophilum DNA in 30% of the keds, but no other pathogens were detected. The medical and biological significance of detecting A. phagocytophilum DNA in deer keds requires future studies. This research provides a baseline for the distribution and pathogen prevalence of deer keds in Massachusetts and highlights the potential of deer keds as sentinels for monitoring deer-associated microbes. Full article
(This article belongs to the Topic Diversity of Insect-Associated Microorganisms)
13 pages, 6392 KiB  
Article
Selection and Engineering of Novel Brighter Bioluminescent Reporter Gene and Color- Tuning Luciferase for pH-Sensing in Mammalian Cells
by Vanessa R. Bevilaqua, Gabriel F. Pelentir, Moema A. Hausen, Eliana A. R. Duek and Vadim R. Viviani
Biosensors 2025, 15(1), 18; https://doi.org/10.3390/bios15010018 (registering DOI) - 4 Jan 2025
Viewed by 93
Abstract
Firefly luciferases have been extensively used for bioanalytical applications, including their use as bioluminescent reporters, biosensors, and for bioimaging biological and pathological processes. Due to their intrinsic pH- sensitivity, in recent years we have demonstrated that firefly luciferases can also be harnessed as [...] Read more.
Firefly luciferases have been extensively used for bioanalytical applications, including their use as bioluminescent reporters, biosensors, and for bioimaging biological and pathological processes. Due to their intrinsic pH- sensitivity, in recent years we have demonstrated that firefly luciferases can also be harnessed as color- tuning sensors of intracellular pH. However, it is known that mammalian cells require temperatures higher than 36 °C, which red-shift the bioluminescence spectra of most firefly luciferases, decreasing their activities and the resolution of ratiometric pH analysis. Therefore, we prospected and engineered novel pH-sensitive firefly luciferases for mammalian cells. We humanized the luciferases of Amydetes vivianii (Amy-Luc) and Cratomorphus distinctus (Crt-Luc) fireflies, inserted them into the pCDNA3 vector, and compared their bioluminescence and pH-sensing properties with those of Macrolampis firefly luciferase (Mac-Luc) inside fibroblasts. The transfected COS-1 with Mac-Luc and Crt-Luc displayed lower bioluminescence activity and considerably red-shifted spectra (611 and 564 nm, respectively) at 37 °C, whereas Amy-Luc displayed the highest bioluminescence activity and spectral stability at 37 °C inside cells, displaying the most blue-shifted spectrum at such temperatures (548 nm) and the best spectral resolution at different pH values, making it possible to ratiometrically estimate the pH from 6.0 to 8.0. These results show that Amy-Luc is a novel brighter reporter gene and suitable pH- indicator for mammalian cells. Furthermore, whereas at pH 8.0 the spectrum was thermally stable, at pH 6.0 Amy-Luc showed higher temperature sensitivity, raising the possibility of using this luciferase as an intracellular temperature sensor. Thus, the improved bioluminescence properties as compared to existing luciferases could offer advantages for in vivo imaging and pH- sensing for the study of mammalian cellular physiology. Full article
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<p>Comparison of the bioluminescent activity of four sets of COS-1 cells transfected with pCMV vector harboring the pH-sensitive luciferase genes, after the addition of D-luciferin, showing the highest intensity for cells transfected with pCMV-Amy. Photography taken with Cannon Camera (Iso: 12000; exposure time: 30 s).</p>
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<p>The bioluminescent kinetic profile of COS-1 cells transfected with pH-sensitive luciferase genes for 12 h after the addition of D-luciferin, showing a higher relative intensity for cells transfected with pCMV-Amy. The error bars refer to triplicates performed for the experiment.</p>
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<p>Bioluminescent COS-1 cells transfected with pCMV containing different pH-sensitive firefly luciferases at different pHs after incubation in calibration buffer containing nigericin. Cells transfected with pCMV-Amy luciferase showed the most intense bioluminescence and slight color change at different pH.</p>
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<p>The effect of pH on the bioluminescence spectra of COS-1 cells transfected with plasmid pCMV containing firefly luciferases: (<b>A</b>) pCMV-Amy; (<b>B</b>) pCMV-Crt; (<b>C</b>) pCMV-Mac.</p>
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<p>Ratiometric curves showing the effect of pH on the ratio of green and red light intensities (R = I<sub>green</sub>/I<sub>red</sub>) obtained from the spectra measured in the spectroluminometer: (<b>A</b>) pCMV-Amy (R = I<sub>551</sub>/I<sub>583)</sub>; (<b>B</b>) pCMV-Crt (R = I<sub>564</sub>/I<sub>583</sub>); (<b>C</b>) pCMV-Mac (R = I<sub>583</sub>/I<sub>612</sub>). The standard deviations are shown in the <a href="#biosensors-15-00018-t0A1" class="html-table">Table A1</a>.</p>
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<p>The effect of pH on the bioluminescence spectra at different temperatures: (<b>upper</b> horizontal panel) purified <span class="html-italic">Amydetes vivianii</span> luciferase; (<b>lower</b> panel) COS-1 cells transfected with pCMV-Amy.</p>
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<p>Ratiometric analysis of the effect of pH on green (I<sub>550</sub>) and red (I<sub>600</sub>) emissions (RI<sub>550</sub>/I<sub>600</sub>) at different temperatures: 22 °C (blue); 37 °C (orange); 45 °C (gray). The standard deviation ranged from 2 to 10%.</p>
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<p>The photographic detection of bioluminescent COS-1 cells transfected with pCMV-Amy: (<b>A</b>) the effect of pH on the bioluminescence color of COS-1 cells transfected with pCMV-Amy at different temperatures. Photography taken with Cannon Camera (Iso: 12000; exposure time: 30 s; (<b>B</b>) the effect of pH on the bioluminescence color at room temperature. Photography taken with an Edge 20 pro smartphone (Motorola).</p>
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14 pages, 1467 KiB  
Article
Organocatalytic Enantioselective Friedel–Crafts Reaction of Phenanthrenequinones and Indoles
by Yan Jin, Yuhong Sun, Yue Yu, Jiao Zhao, Mingshan Zheng, Liming Wang and Ying Jin
Molecules 2025, 30(1), 172; https://doi.org/10.3390/molecules30010172 (registering DOI) - 4 Jan 2025
Viewed by 90
Abstract
An efficient stereoselective synthesis of 10-hydroxy-10-(1H-indol-3-yl)-9-(10H)-phenanthrene derivatives was realized through an organocatalyzed Friedel–Crafts reaction of phenanthrenequinones and indoles using a (S,S)-dimethylaminocyclohexyl-squaramide as the catalyst. Under the optimized conditions, the desired chiral products were obtained in [...] Read more.
An efficient stereoselective synthesis of 10-hydroxy-10-(1H-indol-3-yl)-9-(10H)-phenanthrene derivatives was realized through an organocatalyzed Friedel–Crafts reaction of phenanthrenequinones and indoles using a (S,S)-dimethylaminocyclohexyl-squaramide as the catalyst. Under the optimized conditions, the desired chiral products were obtained in good yields (73–90%) with moderate to high ee values (up to 97% ee). Two pairs of synthesized enantiomers were subjected to evaluation of their antiproliferative activities on four types of human cancer cell lines and one human umbilical vein endothelial cell line using the CCK-8 assay. The results indicated that stereoselectivity had obvious impacts on biological activity. (S)-4g was found to have optimal cytotoxicity against the A549 cell line and a good safety profile for human normal cells, which was better than the inhibitory activity of the positive control drug (doxorubicin). Full article
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<p>Friedel–Crafts reaction of 9,10-phenanthrene and indole.</p>
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<p>The structure of screened organocatalysts (<b>1a</b>–<b>1k</b>).</p>
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<p>X-ray crystal structure of <b>4w</b> (CCDC 2375435).</p>
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<p>Proposed transition state.</p>
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<p>The structures of three pairs of enantiomers.</p>
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17 pages, 3556 KiB  
Article
Purification Effect and Microbial Community Analysis of Aquaculture Wastewater Using High-Efficiency and Stable Biochemical System
by Lei Su, Hangtao Wu, Minghui Yang, Yuting Su, Shanshan Wu, Hang Gao, Yaying Li, Dan Wang, Yusheng Lu, Kun Zhang, Donglai Zhou, Wenjie Gu and Huanlong Peng
Water 2025, 17(1), 119; https://doi.org/10.3390/w17010119 (registering DOI) - 4 Jan 2025
Viewed by 111
Abstract
An adaptable, low-cost, and easy-to-operate biological treatment system for pollutant abatement in aquaculture water at the field pond scale needs to be developed. In this study, the pollutant removal capacity of a stable bioreactor for aquaculture wastewater was assessed, and the related mechanism [...] Read more.
An adaptable, low-cost, and easy-to-operate biological treatment system for pollutant abatement in aquaculture water at the field pond scale needs to be developed. In this study, the pollutant removal capacity of a stable bioreactor for aquaculture wastewater was assessed, and the related mechanism was elucidated via an analysis of the microbial community’s characteristics and functions. The average removal efficiencies of chemical oxygen demand, suspended solids, total nitrogen, and total phosphorus were 40%, 86.22%, 38.62%, and 53.74%, respectively. The effluent quality meets the Requirement for Water Discharge from Freshwater Aquaculture Pond, SC/T9101-2007. The results indicate that the fillers under anaerobic conditions could attract Denitratisoma and unclassified_Rhodocyclaceae, promoting the denitrification reaction. This aligns with the characteristic that total nitrogen in aquaculture sewage mainly exists in the form of nitrate nitrogen. An anaerobic atmosphere helps degrade organic contaminants at liquid interfaces and remove nitrogen in the solid phase. The fillers under anaerobic conditions could attract Bacteroidota and promote the production of polysaccharides to form biofilms, which may be associated with phosphorus removal. The results indicate that the anaerobic stage can promote the formation of biofilm on the fillers to remove pollutants, thus achieving higher aquaculture sewage treatment efficiency. Full article
(This article belongs to the Section Wastewater Treatment and Reuse)
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<p>Aquaculture wastewater treatment device diagram. (<b>a</b>) External shape; (<b>b</b>) internal structure diagram.</p>
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<p>Pollutant concentrations in untreated and treated wastewater. * <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 represent a statistical difference and “ns” mean the difference is not statistically significant. (<b>a</b>) The removal effect of COD; (<b>b</b>) the removal effect of NO<sub>3</sub><sup>−</sup>−N; (<b>c</b>) the removal effect of TN; (<b>d</b>) the removal effect of TP; (<b>e</b>) the removal effect of SS.</p>
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<p>Bacterial community diversity and community structure. (<b>a</b>) Venn diagram of the shared and unique OTU numbers. (<b>b</b>–<b>e</b>) are the alpha diversity indexes. The horizontal coordinates X and Y represent the fill and water in the sewage treatment system, respectively. (<b>f</b>,<b>g</b>) are the phylum level and genus level of the bacterial community composition, respectively. The horizontal coordinates A, B, C, and D represent the filling of the anaerobic tank, the filling of the aerobic tank, the water in the anaerobic tank, and the water in the aerobic tank, respectively.</p>
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<p>Microbial co-occurrence network map.</p>
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<p>Prediction of bacterial community functions. (<b>a</b>) Functional predictions for FAPROTAX; (<b>b</b>) functional prediction of PICRUSt2 at the phylum level; (<b>c</b>) functional prediction of PICRUSt2 at the genus level.</p>
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