基因表达特征的生物信息学综合分析和中药特异性组成分析揭示了非酒精性脂肪肝脂肪变性的代谢特征和靶点。

IF 2.6 Q2 GASTROENTEROLOGY & HEPATOLOGY Hepatic Medicine : Evidence and Research Pub Date : 2023-10-06 eCollection Date: 2023-01-01 DOI:10.2147/HMER.S428161
Chunping Qiao, Chengying Gu, Song Wen, Yanju He, Sheng Yang, Xinge Feng, Yipeng Zeng
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引用次数: 0

摘要

目的:本研究的主要目的是分析非酒精性脂肪性肝病(NAFLD)的遗传表达特征,分析特定的中医体质分布,揭示NAFLD的代谢特征。材料和方法:为了揭示遗传特征,我们从国家生物技术信息中心(NCBI)的基因表达综合数据库(GEO)中获得了基因表达数据。通过鉴定差异表达基因(DEGs)、相关途径、共表达遗传网络和基因集富集功能来分析NAFLD的遗传数据。同时,我们通过建立的中医体质模型评估了局部NAFLD患者的特定体质分布,并通过回归分析确定了自变量,包括NAFLD的特定体质。结果:对GEO数据集的分析表明,NAFLD中的简单脂肪变性与HOMA胰岛素抵抗(HOMA-IR)密切相关。对GEO数据集的分析显示,NAFLD和正常人群之间的基因表达谱发生了显著变化。在中医体质分析中,我们发现NAFLD的阴阳调和(YYH)和阳虚(YAAC)体质下降,而气滞(QSC)和痰湿(PDC)增加。二元逻辑回归分析表明,除其他代谢参数外,YYH、气虚(QAC)、YYAC和阴虚(YAC)是NAFLD的自变量,YAC是T2D的自变量。多元线性回归分析表明,NAFLD、DM、BMI、腰围、TC、TG、高血压、ALT、AST和YAC是FPG的重要决定因素。结论:本研究提供了一个相对全面的NAFLD脂肪变性代谢谱,通过显著的遗传表达特征改变和NAFLD不同的中医体质分布来揭示。通过这种方法,本研究旨在将遗传特征与中医体质表型联系起来。研究结果可用于协助综合医学研究探索适合NAFLD的个性化方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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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.

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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来源期刊
Hepatic Medicine : Evidence and Research
Hepatic Medicine : Evidence and Research GASTROENTEROLOGY & HEPATOLOGY-
自引率
0.00%
发文量
15
审稿时长
16 weeks
期刊介绍: Hepatic Medicine: Evidence and Research is an international, peer-reviewed, open access, online journal. Publishing original research, reports, editorials, reviews and commentaries on all aspects of adult and pediatric hepatology in the clinic and laboratory including the following topics: Pathology, pathophysiology of hepatic disease Investigation and treatment of hepatic disease Pharmacology of drugs used for the treatment of hepatic disease Although the main focus of the journal is to publish research and clinical results in humans; preclinical, animal and in vitro studies will be published where they will shed light on disease processes and potential new therapies. Issues of patient safety and quality of care will also be considered. As of 1st April 2019, Hepatic Medicine: Evidence and Research will no longer consider meta-analyses for publication.
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