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Non-alcoholic fatty liver disease (NAFLD)-related liver fibrosis is closely associated with long-term outcomes of patients. This study aimed to establish a transcriptome signature to distinguish NAFLD patients with mild or advanced fibrosis and to monitor disease progression. Using least absolute shrinkage selection operator regression, we identified a signature of 11 hub genes by performing differential gene expression analysis in six bulk transcriptome profiles in the Gene Expression Omnibus database from liver fibrosis patients with different etiologies. Patients with NAFLD were classified using the 11-hub gene signature. Integrated analysis of signaling pathway enrichment, gene set enrichment, nearest template prediction, infiltration by hepatic stellate cells (HSCs) and pseudotime trajectories was performed on three bulk and one single-cell transcriptomes from NAFLD patients. Molecular features were compared between high-risk and low-risk groups, and associations were explored between hub gene signature expression and activation of HSCs. It was found that the high-risk group was characterized by advanced fibrosis stage, elevated risk for hepatocellular carcinoma, more significant infiltration by activated HSCs, as well as enrichment in signaling pathways related to fibrogenesis and NAFLD progression. Moreover, the 11-hub gene signature at the single-cell transcriptome level correlated with HSCs activation. In vitro experiments were conducted to evaluate the expression levels of hub genes, and IL6 was found to be up-regulated in activated LX-2 cells showing lipid accumulation. Our findings suggest that the 11-hub gene signature can help identify fibrosis stage in patients with NAFLD and detect disease progression. We also suggest that the role of IL6 in HSC activation deserves more investigation in the context of NAFLD.
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http://dx.doi.org/10.1016/j.biocel.2025.106751 | DOI Listing |
Eur J Clin Microbiol Infect Dis
September 2025
School of Bioengineering and Biosciences, Department of Biochemistry, Lovely Professional University, Punjab, 144411, India.
Purpose: This study investigates codon usage and amino acid usage bias in the genus Acinetobacter to uncover the evolutionary forces shaping these patterns and their implications for pathogenicity and biotechnology.
Methods: Codon usage patterns were examined in representative genomes of the genus Acinetobacter using standard codon bias indices, including GC content, relative synonymous codon usage (RSCU), effective number of codons (ENC), and codon adaptation index (CAI). Neutrality and parity plots were employed to evaluate the relative influence of mutational pressure and natural selection on codon preferences.
Funct Integr Genomics
September 2025
Department of Plastic Surgery, the First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, China.
Keloid scarring and Metabolic Syndrome (MS) are distinct conditions marked by chronic inflammation and tissue dysregulation, suggesting shared pathogenic mechanisms. Identifying common regulatory genes could unveil novel therapeutic targets. Methods.
View Article and Find Full Text PDFBiomed Environ Sci
August 2025
Gastrointestinal Disease Centre, Hebei Key Laboratory of Colorectal Cancer Precision Diagnosis and Treatment, The First Hospital of Hebei Medical University, Shijiazhuang 050031, Hebei, China.
Objective: To explore the correlation between chromosome 8 open reading frame 76 (C8orf76) and cyclin-dependent kinase 4 (CDK4) and the potential predictive effect of C8orf76 and CDK4 on the prognosis of colorectal cancer (CRC).
Methods: We constructed a protein-protein interaction network of C8orf76-related genes and analyzed the prognostic signatures of C8orf76 and CDK4. Clinicopathological features of C8orf76 and CDK4 were visualized using a nomogram.
Int J Gen Med
September 2025
Department of Geriatrics, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, People's Republic of China.
Background: Sepsis is characterized by profound immune and metabolic perturbations, with glycolysis serving as a pivotal modulator of immune responses. However, the molecular mechanisms linking glycolytic reprogramming to immune dysfunction remain poorly defined.
Methods: Transcriptomic profiles of sepsis were obtained from the Gene Expression Omnibus.
Biochem Biophys Rep
December 2025
Division of Breast Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, 112, Taiwan.
Purpose: This study aimed to conduct functional proteomics across breast cancer subtypes with bioinformatics analyses.
Methods: Candidate proteins were identified using nanoscale liquid chromatography with tandem mass spectrometry (NanoLC-MS/MS) from core needle biopsy samples of early stage (0-III) breast cancers, followed by external validation with public domain gene-expression datasets (TCGA TARGET GTEx and TCGA BRCA).
Results: Seventeen proteins demonstrated significantly differential expression and protein-protein interaction (PPI) found the strong networks including COL2A1, COL11A1, COL6A1, COL6A2, THBS1 and LUM.