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基于基因关联的功能分析检测到 是一个参与脂肪积累的潜在基因。 (注:原文中“detects”后似乎缺少具体内容)

Genetic association-based functional analysis detects as a potential gene involved in fat accumulation.

作者信息

Kim Myungsuk, Park Kye Won, Ahn Yeongseon, Lim Eun Bi, Kwak Soo Heon, Randy Ahmad, Song No Joon, Park Kyong Soo, Nho Chu Won, Cho Yoon Shin

机构信息

Natural Product Research Center, Korea Institute of Science and Technology, Gangneung, South Korea.

Department of Food Science and Biotechnology, Sungkyunkwan University, Suwon, South Korea.

出版信息

Front Genet. 2022 Aug 12;13:951025. doi: 10.3389/fgene.2022.951025. eCollection 2022.

Abstract

Although there are a number of discoveries from genome-wide association studies (GWAS) for obesity, it has not been successful in linking GWAS results to biology. We sought to discover causal genes for obesity by conducting functional studies on genes detected from genetic association analysis. Gene-based association analysis of 917 individual exome sequences showed that attains exome-wide significance (-value < 2.7 × 10) for body mass index (BMI). The mRNA expression of is significantly increased in human adipose tissues from obese individuals in the Genotype-Tissue Expression (GTEx) dataset, which supports the genetic association of with BMI. Functional analyses employing cell- and animal model-based approaches were performed to gain insights into the functional relevance of in obesity. Adipogenesis was retarded when was knocked down by siRNA treatment in a mouse 3T3-L1 cell line and a similar inhibitory effect was confirmed in mice with down-regulated . antisense oligonucleotide (ASO) treatment reduced body weight, blood lipid level, blood glucose, and adipocyte size in high-fat diet-induced mice. In addition, several lipogenic genes including , , , and were down-regulated, while lipolytic genes , , and were up-regulated. Taken together, is a potential causal gene for obesity as it plays a role in excess body fat development.

摘要

尽管全基因组关联研究(GWAS)已发现了一些与肥胖相关的基因,但尚未成功将GWAS结果与生物学联系起来。我们试图通过对基因关联分析中检测到的基因进行功能研究,来发现肥胖的因果基因。对917个个体外显子序列进行基于基因的关联分析,结果显示 对于体重指数(BMI)达到全外显子显著水平(P值<2.7×10)。在基因型-组织表达(GTEx)数据集中,肥胖个体的人类脂肪组织中 的mRNA表达显著增加,这支持了 与BMI的遗传关联。我们采用基于细胞和动物模型的方法进行功能分析,以深入了解 在肥胖中的功能相关性。在小鼠3T3-L1细胞系中,通过siRNA处理敲低 后,脂肪生成受到抑制,并且在 表达下调的小鼠中也证实了类似的抑制作用。反义寡核苷酸(ASO)处理降低了高脂饮食诱导的小鼠的体重、血脂水平、血糖和脂肪细胞大小。此外,包括 、 、 和 在内的几个脂肪生成基因下调,而脂肪分解基因 、 和 上调。综上所述, 是肥胖的一个潜在因果基因,因为它在体内脂肪过多的发展中起作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3821/9412052/e7dd9a9904d9/fgene-13-951025-g001.jpg

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