ArticleFrontiers in endocrinology2023
Integrative network-based analysis on multiple Gene Expression Omnibus datasets identifies novel immune molecular markers implicated in non-alcoholic steatohepatitis.
Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21 citing papers in PubMed, 31 citations in OpenAlex.
- SPP1+ Macrophages Involved in Juvenile Xanthogranuloma via PPARG Signaling Pathway.Journal of inflammation research · 2026Article
- DPP4 inhibition affects metabolism and inflammation associated pathways in hiPSC-derived steatotic HLCs.Frontiers in cell and developmental biology · 2026Article
- Role of the E26 transformation specific transcription factor family in metabolic disorders.Journal of endocrinological investigation · 2025Review
- Is There a Diagnostic Miracle on the Horizon? Emerging Biomarkers in MASLD.Journal of clinical medicine · 2025Review
- Macrophage inhibition in the alleviation of nonalcoholic steatohepatitis caused by bariatric surgery.Genes and immunity · 2025Article
- Potential Shared Mitochondrial-Related Gene Signatures and Molecular Mechanisms Between Polycystic Ovary Syndrome (PCOS) and Major Depressive Disorder (MDD): Evidence from Transcriptome Data and Machine Learning.Molecular biotechnology · 2025Article
- Potential diagnostic marker gene set for non-alcoholic steatohepatitis associated hepatocellular carcinoma with lymphocyte infiltration.Translational cancer research · 2025Article
- Investigation of the Pathogenesis of Liver Fibrosis Associated with Type 2 Diabetes Mellitus via Bioinformatic Analysis.Biomedicines · 2025Article
- ILF3 inhibits p-AMPK expression to drive non-alcoholic fatty liver disease progression.World journal of hepatology · 2025Article
- IL-1β and CXCR4 as Potential Therapeutic Targets for Alzheimer's Disease.Combinatorial chemistry & high throughput screening · 2025Article
- Identification of regulatory cell death-related genes during MASH progression using bioinformatics analysis and machine learning strategies.Frontiers in immunology · 2025Article
- Multi-Omics Analysis Identifies Immune Regulatory Networks in Sepsis-Associated Liver Injury: Experimental Validation and Clinical Relevance.Journal of inflammation research · 2025Article
- Uncovering biomarkers and molecular pathways linking NAFLD and AIS: Insights from bioinformatic analysis and experiment.PloS one · 2025Article
- Unveiling functionality and conducting two-sample mendelian randomization on WGCNA-identified oxidative stress-related hub genes in metabolic dysfunction-associated fatty liver disease.Biochemistry and biophysics reports · 2024Article
- Deciphering Mechanisms of Adipocyte Differentiation in Abdominal Fat of Broilers.Journal of agricultural and food chemistry · 2024Article
- Identification of Immune-Related Gene Signature in Schizophrenia.Actas espanolas de psiquiatria · 2024Article
- Identifying MS4A6AHeliyon · 2024Article
- Machine learning-based integration identifies the ferroptosis hub genes in nonalcoholic steatohepatitis.Lipids in health and disease · 2024Article
- Atrial Proteomic Profiling Reveals a Switch Towards Profibrotic Gene Expression Program in CREM-IbΔC-X Mice with Persistent Atrial Fibrillation.bioRxiv : the preprint server for biology · 2024Article
- Integrative analysis identifies oxidative stress biomarkers in non-alcoholic fatty liver disease via machine learning and weighted gene co-expression network analysis.Frontiers in immunology · 2024Article
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8 authors at 1 institution in 1 country.
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Abstract
Introduction: Non-alcoholic steatohepatitis (NASH), an advanced subtype of non-alcoholic fatty liver disease (NAFLD), has becoming the most important aetiology for end-stage liver disease, such as cirrhosis and hepatocellular carcinoma. This study were designed to explore novel genes associated with NASH. Methods: Here, five independent Gene Expression Omnibus (GEO) datasets were combined into a single cohort and analyzed using network biology approaches. Results: 11 modules identified by weighted gene co-expression network analysis (WGCNA) showed significant association with the status of NASH. Further characterization of four gene modules of interest demonstrated that molecular pathology of NASH involves the upregulation of hub genes related to immune response, cholesterol and lipid metabolic process, extracellular matrix organization, and the downregulation of hub genes related to cellular amino acid catabolic, respectively. After DEGs enrichment analysis and module preservation analysis, the Turquoise module associated with immune response displayed a remarkably correlation with NASH status. Hub genes with high degree of connectivity in the module, including CD53, LCP1, LAPTM5, NCKAP1L, C3AR1, PLEK, FCER1G, HLA-DRA and SRGN were further verified in clinical samples and mouse model of NASH. Moreover, single-cell RNA-seq analysis showed that those key genes were expressed by distinct immune cells such as microphages, natural killer, dendritic, T and B cells. Finally, the potential transcription factors of Turquoise module were characterized, including NFKB1, STAT3, RFX5, ILF3, ELF1, SPI1, ETS1 and CEBPA, the expression of which increased with NASH progression. Discussion: In conclusion, our integrative analysis will contribute to the understanding of NASH and may enable the development of potential biomarkers for NASH therapy.
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