Qiao Chunping, Gu Chengying, Wen Song, He Yanju, Yang Sheng, Feng Xinge, Zeng Yipeng
Department of Gastroenterology, Shanghai Pudong Hospital, Fudan University, Shanghai, People's Republic of China.
Department of Examination, Shanghai Pudong Hospital, Fudan University, Shanghai, People's Republic of China.
Hepat Med. 2023 Oct 6;15:165-183. doi: 10.2147/HMER.S428161. eCollection 2023.
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.
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.
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.
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.
在本研究中,我们的主要目的是分析非酒精性脂肪性肝病(NAFLD)的基因表达特征,分析特定中医体质分布,并揭示NAFLD的代谢特征。
为揭示基因特征,我们从美国国立生物技术信息中心(NCBI)的基因表达综合数据库(GEO)获取基因表达数据。通过识别差异表达基因(DEG)、相关通路、共表达基因网络和基因集富集功能,对NAFLD的基因数据进行分析。同时,我们通过建立的中医体质模型评估当地NAFLD患者的特定体质分布,并通过回归分析确定自变量,包括与NAFLD相关的特定体质。
对GEO数据集的分析表明,NAFLD中的单纯性脂肪变性与稳态模型评估胰岛素抵抗(HOMA-IR)密切相关。对GEO数据集的分析揭示了NAFLD与正常人群之间基因表达谱的显著改变。对于中医体质分析,我们发现NAFLD患者的阴阳平和质(YYH)和阳虚质(YAAC)比例下降,而气滞质(QSC)和痰湿质(PDC)比例增加。二元逻辑回归分析表明,除其他代谢参数外,YYH、气虚质(QAC)、阳虚兼气虚质(YYAC)和阴虚质(YAC)是NAFLD的自变量,而YAC是2型糖尿病(T2D)的自变量。多元线性回归分析表明,NAFLD、糖尿病(DM)、体重指数(BMI)、腰围、总胆固醇(TC)、甘油三酯(TG)、高血压、谷丙转氨酶(ALT)、谷草转氨酶(AST)和YAC是空腹血糖(FPG)的重要决定因素。
本研究通过NAFLD中显著的基因表达特征改变和不同的中医体质分布揭示了NAFLD脂肪变性相对全面的代谢概况。通过这种方法,该研究旨在将基因特征与中医体质表型联系起来。研究结果可用于辅助中西医结合研究,探索适合NAFLD的个性化治疗方法。