Outer membrane vesicles from Pseudomonas aeruginosa induce autophagy-regulated pyroptosis in THP-1 cells

Archives of Microbiology, Journal Year: 2025, Volume and Issue: 207(3)

Published: Feb. 10, 2025

Language: Английский

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Precision Prediction of Alzheimer’s Disease: Integrating Mitochondrial Energy Metabolism and Immunological Insights

Journal of Molecular Neuroscience, Journal Year: 2025, Volume and Issue: 75(1)

Published: Jan. 14, 2025

Language: Английский

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Identification and validation of crotonylation-related diagnostic markers for lung adenocarcinoma via weighted correlation network analysis and machine learning

Translational Lung Cancer Research, Journal Year: 2025, Volume and Issue: 14(3), P. 940 - 962

Published: March 1, 2025

Lung adenocarcinoma (LUAD) is one of the most common tumors in terms incidence and mortality worldwide. Posttranslational modifications, including crotonylation, play a crucial role various biological processes diseases. However, crotonylation LUAD remains unclear. Our research focuses on identifying key genes that are linked to prognosis. We also aim clarify their microenvironment advance clinical translation related targets. used RNA-sequencing data from The Cancer Genome Atlas (TCGA) Genotype-Tissue Expression (GTEx) database identify differentially expressed (DEGs) LUAD. Weighted correlation network analysis (WGCNA) was applied construct gene networks, hub were identified using protein-protein interaction (PPI) analysis. prognostic value assessed Kaplan-Meier plots, with immune infiltration analyzed via Tumor Immune Estimation Resource (TIMER) other algorithms. then verified these through samples confirmed MMACHC GAPDH, SLC25A13, MMACHC, HDAC1 as potential crotonylation-related biomarkers for These found be overexpressed associated poor They showed significant correlations cell immune-inflammatory pathways. Functional experiments knockdown inhibited proliferation migration, induced apoptosis, enhanced efficacy immunotherapy study suggests genes, particularly may serve novel therapeutic targets diagnostic markers

Language: Английский

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Machine learning deciphers the significance of mitochondrial regulators on the diagnosis and subtype classification in non-alcoholic fatty liver disease

Heliyon, Journal Year: 2024, Volume and Issue: 10(9), P. e29860 - e29860

Published: April 23, 2024

Non-alcoholic fatty liver disease (NAFLD) is a highly prevalent worldwide and lack of research on the diagnostic utility mitochondrial regulators in NAFLD. Mitochondrial dysfunction plays pivotal role development progression NAFLD, especially oxidative stress acidity β-oxidative overload. Thus, we aimed to identify validate panel gene expression biomarkers for detection

Language: Английский

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Integrative Analyses of Genes of Pediatric Non-alcoholic Fatty Liver Disease Associated with Energy Metabolism

Digestive Diseases and Sciences, Journal Year: 2024, Volume and Issue: 69(12), P. 4373 - 4391

Published: Nov. 4, 2024

Pediatric non-alcoholic fatty liver disease (NAFLD) is a chronic steatosis of the associated with energy metabolism in children and adolescents, failure to intervene promptly can elevate risk developing hepatocellular carcinoma. Therefore, this study aimed understand underlying mechanism pediatric NAFLD investigate potential biomarkers therapeutic targets. We investigated genes using GSE185051 data set related from GeneCards database, constructed protein–protein interaction network, identified hub established networks representing interactions between these miRNA, RNA-binding proteins, transcription factors, drugs. Subsequently, we performed Gene Ontology (GO), Kyoto Encyclopedia Genes Genomes (KEGG) functional enrichment analysis, Set Enrichment Analysis (GSEA), immune infiltration analysis. Our analysis 9 through PPI network. The target molecules were network miRNAs, GO revealed that oxidative stress responses other pathways. KEGG highlighted their involvement pathways such as insulin resistance, among others. GSEA highly enriched Omega-9 acid synthesis, Immune suggested mast cells T follicular helper play significant roles pathogenesis NAFLD. closely metabolism. These findings offer for identifying novel diagnostic biomarkers, establishing targets

Language: Английский

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Identification of biomarkers related to Escherichia coli infection for the diagnosis of gastrointestinal tumors applying machine learning methods

Heliyon, Journal Year: 2024, Volume and Issue: 10(23), P. e40491 - e40491

Published: Nov. 16, 2024

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Unraveling pathogenesis and potential biomarkers for autism spectrum disorder associated with HIF1A pathway based on machine learning and experiment validation

Neurobiology of Disease, Journal Year: 2024, Volume and Issue: unknown, P. 106763 - 106763

Published: Dec. 1, 2024

Autism spectrum disorder (ASD) is a neurodevelopmental with high social burden and limited treatments. Hypoxic condition of the brain considered an important pathological mechanism ASD. HIF1A key participant in hypoxia, but its contribution to pathophysiological landscape ASD remains unclear.

Language: Английский

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Identification and experimental validation of hub genes underlying depressive-like behaviors induced by chronic social defeat stress

Frontiers in Pharmacology, Journal Year: 2024, Volume and Issue: 15

Published: Oct. 14, 2024

Major depressive disorder (MDD), characterized by severe neuropsychiatric symptoms and significant cognitive deficits, continues to present both etiological therapeutic challenges. However, the specific underlying mechanisms targets remain unclear.

Language: Английский

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