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系统遗传学方法鉴定了人类脂肪组织中肥胖的 GPD1L 及其分子机制。

A Systems Genetics Approach Identified GPD1L and its Molecular Mechanism for Obesity in Human Adipose Tissue.

机构信息

Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, 70112, USA.

Tulane University Obesity Research Center, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, 70112, USA.

出版信息

Sci Rep. 2017 May 11;7(1):1799. doi: 10.1038/s41598-017-01517-6.

DOI:10.1038/s41598-017-01517-6
PMID:28496128
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5431993/
Abstract

To explore novel molecular mechanisms underlying obesity, we applied a systems genetics framework to integrate risk genetic loci from the largest body mass index (BMI) genome-wide association studies (GWAS) meta-analysis with mRNA and microRNA profiling in adipose tissue from 200 subjects. One module was identified to be most significantly associated with obesity and other metabolic traits. We identified eight hub genes which likely play important roles in obesity metabolism and identified microRNAs that significantly negatively correlated with hub genes. This module was preserved in other three test gene expression datasets, and all hub genes were consistently downregulated in obese subjects through the meta-analysis. Gene GPD1L had the highest connectivity and was identified a key causal regulator in the module. Gene GPD1L was significantly negatively correlated with the expression of miR-210, which was experimentally validated that miR-210 regulated GPD1L protein level through direct interaction with its mRNA three prime untranslated region (3'-UTR). GPD1L was found to be upregulated during weight loss and weight maintenance induced by low calorie diet (LCD), while downregulated during weight gain induced by high-fat diet (HFD). The results indicated that increased GPD1L in adipose tissue may have a significant therapeutic potential in reducing obesity and insulin resistance.

摘要

为了探索肥胖相关的新分子机制,我们将最大的体重指数 (BMI) 全基因组关联研究 (GWAS) 荟萃分析中的风险遗传位点与 200 名研究对象的脂肪组织 mRNA 和 microRNA 谱进行系统遗传学框架整合。鉴定出一个与肥胖和其他代谢特征最显著相关的模块。我们确定了 8 个枢纽基因,它们可能在肥胖代谢中发挥重要作用,并鉴定出与枢纽基因显著负相关的 microRNAs。该模块在其他三个测试基因表达数据集中得到保留,通过荟萃分析,所有枢纽基因在肥胖患者中均持续下调。基因 GPD1L 具有最高的连接性,被鉴定为该模块中的关键因果调节因子。基因 GPD1L 与 miR-210 的表达呈显著负相关,实验验证了 miR-210 通过与 GPD1L mRNA 的 3'非翻译区(3'-UTR)直接相互作用来调节 GPD1L 蛋白水平。发现在低卡路里饮食 (LCD) 诱导的减肥和体重维持期间 GPD1L 上调,而在高脂肪饮食 (HFD) 诱导的体重增加期间下调。结果表明,脂肪组织中 GPD1L 的增加可能具有显著的治疗肥胖和胰岛素抵抗的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b122/5431993/5e15c86be8f8/41598_2017_1517_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b122/5431993/c6e550727cc1/41598_2017_1517_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b122/5431993/dce2f7c52ae5/41598_2017_1517_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b122/5431993/520e2a03ac98/41598_2017_1517_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b122/5431993/9e9fe2757dc3/41598_2017_1517_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b122/5431993/5e15c86be8f8/41598_2017_1517_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b122/5431993/c6e550727cc1/41598_2017_1517_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b122/5431993/dce2f7c52ae5/41598_2017_1517_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b122/5431993/520e2a03ac98/41598_2017_1517_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b122/5431993/9e9fe2757dc3/41598_2017_1517_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b122/5431993/5e15c86be8f8/41598_2017_1517_Fig5_HTML.jpg

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