ArticleScientific reports2024
CXCL9, IL2RB, and SPP1, potential diagnostic biomarkers in the co-morbidity pattern of atherosclerosis and non-alcoholic steatohepatitis.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- Integrative gene target mapping, RNA sequencing, in silico molecular docking, ADMET profiling and molecular dynamics simulation study of marine derived molecules for type 1 diabetes mellitus.Molecular diversity · 2026Article
- Extracellular Vesicle-Based miRNA Profiling in Metabolic Dysfunction-Associated Steatotic Liver Disease: A Secondary Analysis of the MULTISITE Clinical Trial.Journal of extracellular biology · 2026Article
- Selenoprotein P deficiency in MASLD: association with insulin resistance and liver fibrosis: a prospective case-control study.BMC gastroenterology · 2026Article
- Association between high-risk metabolic dysfunction-associated steatohepatitis and ischemic heart disease: a nationally representative study.Nutrition journal · 2026Article
- [SingleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026Article
- Chemokines and chemokine receptors in metabolic dysfunction-associated steatohepatitis: pathogenic mechanisms and clinical implications.Cellular & molecular biology letters · 2026Review
- Uncovering the immune-related PCD genes in chronic rhinosinusitis with nasal polyps inflammatory progression: a machine learning and functional validation study.Frontiers in cell and developmental biology · 2026Article
- Diagnostic and Prognostic Potential of CXCL9 and CXCL10 Chemokines in Alcohol-Associated Liver Disease.International journal of molecular sciences · 2025Observational
- Primary Human Tissue Models for Metabolic Dysfunction-Associated Liver Disease - toward Streamlining Drug Discovery with Patient-Derived Assays.Advanced biology · 2025Review
- From Steatosis to Immunosenescence: The Impact of Metabolic Dysfunction on Immune Aging in HIV and Non-HIV Populations.Biomedicines · 2025Review
- Single-cell and spatial analysis reveals the interaction between ITLN1Frontiers in cardiovascular medicine · 2025Article
- Macrophage-tregs crosstalk: the "hub" of the immune network in MASLD.Frontiers in immunology · 2025Review
- Identification of Potential Diagnostic Biomarkers of Carotid Atherosclerosis in Obese Populations.Journal of inflammation research · 2025Article
- Addressing the alarming link between nonalcoholic fatty liver disease and cardiovascular mortality in men.World journal of cardiology · 2024Article
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Abstract
Non-alcoholic steatohepatitis (NASH) is a hepatocyte inflammation based on hepatocellular steatosis, yet there is no effective drug treatment. Atherosclerosis (AS) is caused by lipid deposition in the endothelium, which can lead to various cardiovascular diseases. NASH and AS share common risk factors, and NASH can also elevate the risk of AS, causing a higher morbidity and mortality rate for atherosclerotic heart disease. Therefore, timely detection and diagnosis of NASH and AS are particularly important. In this study, differential gene expression analysis and weighted gene co-expression network analysis were performed on the AS (GSE100927) and NASH (GSE89632) datasets to obtain common crosstalk genes, respectively. Then, candidate Hub genes were screened using four topological algorithms and externally validated in the GSE43292 and GSE63067 datasets to obtain Hub genes. Furthermore, immune infiltration analysis and gene set variation analysis were performed on the Hub genes to explore the underlying mechanisms. The DGIbd database was used to screen candidate drugs for AS and NASH. Finally, a NASH model was constructed using free fatty acid-induced human L02 cells, an AS model was constructed using lipopolysaccharide-induced HUVECs, and a co-morbidity model was constructed using L02 cells and HUVECs to verify Hub gene expression. The result showed that a total of 113 genes common to both AS and NASH were identified as crosstalk genes, and enrichment analysis indicated that these genes were mainly involved in the regulation of immune and metabolism-related pathways. 28 candidate Hub genes were screened according to four topological algorithms, and CXCL9, IL2RB, and SPP1 were identified as Hub genes after in vitro experiments and external dataset validation. The ROC curves and SVM modeling demonstrated the good diagnostic efficacy of these three Hub genes. In addition, the Hub genes are strongly associated with immune cell infiltration, especially macrophages and γ-δ T cell infiltration. Finally, five potential therapeutic drugs were identified. has-miR-185 and hsa-miR-335 were closely related to AS and NASH. This study demonstrates that CXCL9, IL2RB, and SPP1 may serve as potential biomarkers for the diagnosis of the co-morbidity patterns of AS and NASH and as potential targets for drug therapy.
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