PVD neurons show reduced lysosome function during aging and in the <i>hlh-30</i> mutant. by Ruiling Zhong (22339779)

“…<b>(G)</b> The amount of degradative cargo SNT-1 in individual lysosomal compartments shows a bimodal distribution. Threshold = 529 AU. <b>(H)</b> Aging, chronic concanamycin A exposure, and the <i><i>hlh-30</i></i> mutant each result in an increased portion of lysosomal compartments with an atypically high amount of SNT-1::GFP. ** <i>P</i> < 0.01, * <i>P</i> < 0.05, pairwise comparisons not labeled show no significant difference, Fisher’s exact test with Holm correction. …”

Table 1_Chronic stress-induced downregulation of MFN1 contributes to fatty liver in chickens.doc by Ke Zhang (115386)

“…Furthermore, CORT disrupted mitochondrial function, as indicated by excessive mitochondrial fragmentation, a pronounced decrease in mitochondrial membrane potential (MMP), and aberrant oxidative stress responses in both in vivo and in vitro models. …”

Table 1_Melatonin-induced Bacillus tequilensis enhanced the disease resistance of Camellia oleifera against anthracnose by modulating cell wall and phenylpropanoid metabolism.docx by Aiting Zhou (4994312)

“…Introduction<p>Anthracnose poses a significant threat to the sustainable development of the Camellia oleifera industry. …”

Fig 4 - by Baike She (20298296)

“…Purdue allowed students to stay home after Thanksgiving break, leading to a significant decrease in confirmed cases, as shown in Shaded Area III. …”

Data Sheet 1_Gut microbiota regulates serum metabolites in mice with nonalcoholic fatty liver disease via gut metabolites: mechanisms involving branched-chain amino acids and unsat... by Hao Qiu (491130)

“…This disorder results in a reduction of unsaturated fatty acid content, particularly a decrease in Eicosapentaenoic Acid (EPA) and Docosahexaenoic Acid (DHA), and an accumulation of branched fatty acids in the serum. …”

Image 1_Antibiotics-induced dysbiosis impacts dendritic morphology of adult mouse cortical interneurons.jpeg by Mohammed M. Nakhal (20843297)

“…The mean dendritic length and mean dendritic segments of the SSC and Hp were found to be significantly decreased, while no such decrease was observed in the mEC or MC. …”

Data Sheet 1_Andrographolide suppresses chondrosarcoma cell migration and invasion by inhibiting the PI3K/Akt/mTOR signaling pathway and activating autophagy.pdf by Chun-Fei Wu (22315444)

“…Confocal microscopy demonstrated a significant increase in autophagic flux in Andro-treated SW1353 cells. …”

Forest Plots, SROC Curve, and Diagnostic Performance Analyses of ctDNA Biomarkers for Early Pancreatic Cancer Detection. by Zeyi Zheng (16879938)

“…F: Fagan’s nomogram showing post-test probabilities for a pretest probability of 50%. A positive test increases the post-test probability to 91%, while a negative test decreases it to 27%. …”

Data Sheet 1_Decanoic acid, an MCT dietary component, alleviates cognitive impairment, cellular senescence, and promotes autophagy in accelerated aging and neurotoxic mouse models... by Shreshta Jain (12274885)

“…</p>Results<p>Decanoic acid significantly improved learning and memory performance, enhanced antioxidant enzyme activity (superoxide dismutase, reduced glutathione, catalase), promoted autophagy by inhibiting mTOR, reduced cellular senescence (β-galactosidase-positive cells), and decreased amyloid-β toxicity. …”

Data Sheet 1_Impact of iron ore mining activities on the rhizosphere fungal communities of Musa basjoo, Apegdalus persica, and Triticum aestivum L..pdf by Caijing Wan (20699261)

“…The results revealed that, due to iron ore mining, the pH value of the soil in the mining area generally exhibited weak acidity, and the Fe and TP contents increased significantly (P < 0.05). Notably, iron ore mining reduced fungal diversity in the rhizosphere, and only the wheat group presented a significant reduction in fungal diversity (P < 0.05). …”

Table2_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table13_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table12_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table3_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table9_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Image1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table7_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table6_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table11_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table8_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”