ArticleHepatic medicine : evidence and research2023
The Integrated Bioinformatic Assay of Genetic Expression Features and Analyses of Traditional Chinese Medicine Specific Constitution Reveal Metabolic Characteristics and Targets in Steatosis of Nonalcoholic Fatty Liver Disease.
Article in Hepatic medicine : evidence and research, 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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7 citing papers in PubMed, 6 citations in OpenAlex.
- Safety of herbal medicine in the postpartum period: A hospital-based single-arm, prospective observational study (SAFEHERE-PC).Integrative medicine research · 2026Article
- Red yeast rice extract's impact on liver health: a pharmacological and metabolomic exploration.Frontiers in nutrition · 2026Article
- Traditional Chinese medicine in diabetes management: a comprehensive review of mechanisms and therapeutic potential.Frontiers in endocrinology · 2026Review
- Identification of characteristic genes ofanddeficiency constitutions: an integrated analysis based on bioinformatics and machine learning.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2025Article
- Machine learning-based identification of biochemical markers to predict hepatic steatosis in patients at high metabolic risk.World journal of gastroenterology · 2025Article
- The Therapeutic Effect and Mechanism of Traditional Chinese Medicine in Type 2 Diabetes Mellitus and Its Complications.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Review
- The Relationship Between Computerized Face and Tongue Image Segmentation and Metabolic Parameters in Patients with Type 2 Diabetes Based on Machine Learning.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
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7 authors at 2 institutions in 2 countries.
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Abstract
Purpose: In this study, our primary aim is to analyze the genetic expression feature and analyze specific Traditional Chinese medicine (TCM) constitution distribution in non-alcoholic fatty liver disease (NAFLD) and reveal the metabolic characteristic of NAFLD. Materials and Methods: For revealing genetic features, we obtained the gene expression data from the Gene Expression Omnibus (GEO) database of the National Center for Biotechnology Information (NCBI). The genetic data on NAFLD were analyzed by identifying differentially expressed genes (DEGs), associated pathways, co-expressed genetic networks, and gene set enrichment function. Concurrently, we assessed specific constitution distributions among local NAFLD patients through established TCM constitution models and determined the independent variable, including specific constitution to the NAFLD via the regression analyses. Results: The analyses on GEO datasets showed that simple steatosis in NAFLD is strongly associated with HOMA-insulin resistance (HOMA-IR). Analyses of GEO datasets revealed significantly altered genetic expression profiles between NAFLD and normal populations. For TCM constitution analyses, we demonstrated a decline in yin-yang harmony (YYH) and yang-asthenia (YAAC) constitution, whereas there was an increase in qi-stagnation (QSC) and phlegm-dampness (PDC) in NAFLD. The binary logistic regression analysis indicated that besides other metabolic parameters, YYH, qi asthenia (QAC), YYAC, and yin-asthenia (YAC) were the independent variables of NAFLD, while YAC was the independent variables of T2D. The multilinear regression analyses suggested that NAFLD, DM, BMI, waist, TC, TG, hypertension, ALT, AST, and YAC were the significant determinators of the FPG. Conclusion: This study presents a relatively comprehensive metabolic profile in steatosis of NAFLD, revealed by significant genetic expression feature alterations and different TCM constitution distribution in NAFLD. Through this method, the study intends to associate the genetic feature with the phenotype of TCM constitution. The results could be applied to assist integrative medicine research in exploring the appropriate personalized approaches for NAFLD.
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