ArticleBMC genomics2023
Identification of key modules and driving genes in nonalcoholic fatty liver disease by weighted gene co-expression network analysis.
Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- A novel C/EBPα-miR-335-5p-PRKAA2 regulatory axis drives hepatic lipid accumulation in MASLD.Scientific reports · 2026Article
- Gradual DNA methylation changes reveal transcription factors implicated in metabolic dysfunction-associated steatotic liver disease progression and epigenetic age acceleration.Clinical epigenetics · 2025Article
- Bridging the gap: The GOLM1-OPN-ABCG5 axis in MASH and gallstone disease: Editorial on "GOLM1 promotes cholesterol gallstone formation via ABCG5-mediated cholesterol efflux in MASH livers".Clinical and molecular hepatology · 2025Article
- GOLM1 promotes cholesterol gallstone formation via ABCG5-mediated cholesterol efflux in metabolic dysfunction-associated steatohepatitis livers.Clinical and molecular hepatology · 2025Article
- Role of the Annexin A protein family in liver diseases: insights and therapeutic opportunities.Frontiers in pharmacology · 2025Review
- Exploring the role of alternative lengthening of telomere-related genes in diagnostic modeling for non-alcoholic fatty liver disease.Scientific reports · 2024Article
- Expression of immune related genes and possible regulatory mechanisms in different stages of non-alcoholic fatty liver disease.Frontiers in immunology · 2024Article
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundNonalcoholic fatty liver disease (NAFLD) is characterized by excessive liver fat deposition, and progresses to liver cirrhosis, and even hepatocellular carcinoma. However, the invasive diagnosis of NAFLD with histopathological evaluation remains risky. This study investigated potential genes correlated with NAFLD, which may serve as diagnostic biomarkers and even potential treatment targets.
methodsThe weighted gene co-expression network analysis (WGCNA) was constructed based on dataset E-MEXP-3291. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to evaluate the function of genes.
resultsBlue module was positively correlated, and turquoise module negatively correlated with the severity of NAFLD. Furthermore, 8 driving genes (ANXA9, FBXO2, ORAI3, NAGS, C/EBPα, CRYAA, GOLM1, TRIM14) were identified from the overlap of genes in blue module and GSE89632. And another 8 driving genes were identified from the overlap of turquoise module and GSE89632. Among these driving genes, C/EBPα (CCAAT/enhancer binding protein α) was the most notable. By validating the expression of C/EBPα in the liver of NAFLD mice using immunohistochemistry, we discovered a significant upregulation of C/EBPα protein in NAFLD.
conclusionwe identified two modules and 16 driving genes associated with the progression of NAFLD, and confirmed the protein expression of C/EBPα, which had been paid little attention to in the context of NAFLD, in the present study. Our study will advance the understanding of NAFLD. Moreover, these driving genes may serve as biomarkers and therapeutic targets of NAFLD.
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