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通过生物信息学分析和动物实验鉴定膳食晚期糖基化终产物诱导的非酒精性脂肪性肝病的关键基因和关键途径。

Identification of hub genes and key pathways of dietary advanced glycation end products‑induced non‑alcoholic fatty liver disease by bioinformatics analysis and animal experiments.

机构信息

Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.

Department of Medical Genetics and Cell Biology, Medical College of Nanchang University, 
Nanchang, Jiangxi 330006, P.R. China.

出版信息

Mol Med Rep. 2020 Feb;21(2):685-694. doi: 10.3892/mmr.2019.10872. Epub 2019 Dec 9.

Abstract

Non‑alcoholic fatty liver disease (NAFLD) is a common chronic liver disease. Advanced glycation end products (AGEs) negatively affect the liver and accelerate NAFLD progression; however, the underlying mechanisms remain unclear. The present study aimed to examine the effect and mechanism of dietary AGEs on the mouse liver using bioinformatics and in vivo experimental approaches. Gene expression datasets associated with NAFLD were obtained from the Gene Expression Omnibus and differentially expressed genes (DEGs) were identified using GEO2R. Functional enrichment analyses were performed using the Database for Annotation, Visualization and Integrated Discovery and a protein‑protein interaction network for the DEGs was constructed using the Search Tool for the Retrieval of Interacting Genes database. MCODE, a Cytoscape plugin, was subsequently used to identify the most significant module. The key genes involved were verified in a dietary AGE‑induced non‑alcoholic steatohepatitis (NASH) mouse model using reverse transcription‑quantitative PCR (RT‑qPCR). The 462 DEGs associated with NAFLD in the two datasets, of which 34 overlapping genes were found in two microarray datasets. Functional analysis demonstrated that the 34 DEGs were enriched in the 'PPAR signaling pathway', 'central carbon metabolism in cancer', and 'cell adhesion molecules (CAMs)'. Moreover, four hub genes (cell death‑inducing DFFA‑like effector a, cell death‑inducing DFFA‑like effector c, fatty acid‑binding protein 4 and perilipin 4) were identified from a protein‑protein interaction network and were verified using RT‑qPCR in a mouse model of NASH. The results suggested that AGEs and their receptor axis may be involved in NAFLD onset and/or progression. This integrative analysis identified candidate genes and pathways in NAFLD, as well as DEGs and hub genes related to NAFLD progression in silico and in vivo.

摘要

非酒精性脂肪性肝病 (NAFLD) 是一种常见的慢性肝病。晚期糖基化终产物 (AGEs) 会对肝脏产生负面影响,并加速 NAFLD 的进展;然而,其潜在机制尚不清楚。本研究旨在使用生物信息学和体内实验方法研究饮食 AGEs 对小鼠肝脏的影响及其作用机制。从基因表达综合数据库中获取与 NAFLD 相关的基因表达数据集,并使用 GEO2R 识别差异表达基因 (DEGs)。使用数据库注释、可视化和综合发现对 DEGs 进行功能富集分析,并使用检索相互作用基因数据库构建 DEGs 的蛋白质-蛋白质相互作用网络。随后,使用 Cytoscape 插件 MCODE 识别最重要的模块。使用逆转录-定量 PCR (RT-qPCR) 在饮食诱导的非酒精性脂肪性肝炎 (NASH) 小鼠模型中验证涉及的关键基因。在两个数据集中共发现了 462 个与 NAFLD 相关的 DEGs,其中 34 个重叠基因在两个微阵列数据集中发现。功能分析表明,这 34 个 DEGs 富集在“PPAR 信号通路”、“癌症中的中心碳代谢”和“细胞黏附分子 (CAMs)”。此外,从蛋白质-蛋白质相互作用网络中鉴定出 4 个枢纽基因(细胞死亡诱导 DFFA 样效应因子 a、细胞死亡诱导 DFFA 样效应因子 c、脂肪酸结合蛋白 4 和 perilipin 4),并使用 RT-qPCR 在 NASH 小鼠模型中进行验证。结果表明,AGEs 及其受体轴可能参与了 NAFLD 的发生和/或进展。该综合分析在体内和体外确定了 NAFLD 相关的候选基因和通路,以及与 NAFLD 进展相关的 DEGs 和枢纽基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35fb/6947946/0bb636c520b9/MMR-21-02-0685-g00.jpg

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