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线粒体功能障碍在 2 型糖尿病发病相关疾病易感性位点中的新见解。

New Insights Into Mitochondrial Dysfunction at Disease Susceptibility Loci in the Development of Type 2 Diabetes.

机构信息

Department of Metabolism, Digestion & Reproduction, Imperial College, London, United Kingdom.

Department of Genetics, Evolution and Environment, University College London, London, United Kingdom.

出版信息

Front Endocrinol (Lausanne). 2021 Aug 11;12:694893. doi: 10.3389/fendo.2021.694893. eCollection 2021.

Abstract

This study investigated the potential genetic mechanisms which underlie adipose tissue mitochondrial dysfunction in Type 2 diabetes (T2D), by systematically identifying nuclear-encoded mitochondrial genes (NEMGs) among the genes regulated by T2D-associated genetic loci. The target genes of these 'disease loci' were identified by mapping genetic loci associated with both disease and gene expression levels (expression quantitative trait loci, eQTL) using high resolution genetic maps, with independent estimates co-locating to within a small genetic distance. These co-locating signals were defined as T2D-eQTL and the target genes as T2D genes. In total, 763 genes were associated with T2D-eQTL, of which 50 were NEMGs. Independent gene expression datasets for T2D and insulin resistant cases and controls confirmed that the genes and NEMGs were enriched for differential expression in cases, providing independent validation that genetic maps can identify informative functional genes. Two additional results were consistent with a potential role of T2D-eQTL in regulating the 50 identified NEMGs in the context of T2D risk: (1) the 50 NEMGs showed greater differential expression compared to other NEMGs and (2) other NEMGs showed a trend towards significantly decreased expression if their expression levels correlated more highly with the subset of 50 NEMGs. These 50 -NEMGs, which are differentially expressed and associated with mapped T2D disease loci, encode proteins acting within key mitochondrial pathways, including some of current therapeutic interest such as the metabolism of branched-chain amino acids, GABA and biotin.

摘要

本研究通过系统地鉴定与 2 型糖尿病(T2D)相关的遗传位点所调控的核编码线粒体基因(NEMGs),来研究导致脂肪组织线粒体功能障碍的潜在遗传机制。这些“疾病位点”的靶基因是通过使用高分辨率遗传图谱来映射与疾病和基因表达水平(表达数量性状基因座,eQTL)都相关的遗传位点来确定的,具有独立估计值的基因座在很小的遗传距离内共定位。这些共定位信号被定义为 T2D-eQTL,其靶基因被定义为 T2D 基因。共有 763 个基因与 T2D-eQTL 相关,其中 50 个是 NEMGs。针对 T2D 和胰岛素抵抗病例和对照的独立基因表达数据集证实,这些基因和 NEMGs 在病例中表现出丰富的差异表达,为遗传图谱可以识别有意义的功能基因提供了独立验证。另外两个结果与 T2D-eQTL 在调节与 T2D 风险相关的 50 个已识别 NEMGs 方面的潜在作用一致:(1)与其他 NEMGs 相比,这 50 个 NEMGs 的差异表达更大;(2)如果它们的表达水平与这 50 个 NEMGs 的子集相关性更高,则其他 NEMGs 的表达有显著下降的趋势。这 50 个-NEMGs 在 T2D 风险中表现出差异表达和与映射的 T2D 疾病位点相关,它们编码的蛋白质作用于关键的线粒体途径,包括一些当前具有治疗意义的途径,如支链氨基酸、GABA 和生物素的代谢。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e73/8385132/115b4b5406f4/fendo-12-694893-g001.jpg

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