运动和饮食诱导的人体骨骼肌组织体重减轻对基因表达和剪接多态性的影响

IF 11.1 Q1 CELL BIOLOGY
Wenjing Wang, Wei Lin Liew, Shiqi Huang, Edmund Chan, Amelia Li Min Tan, Chi Tian, Yihan Tong, Yuntian Zhang, Fei Liu, Yixian Qin, Sean Jun Leong Ou, Suresh Anand Sadananthan, Sambasivam Sendhil Velan, Kavita Venkataraman, Sarah R Langley, Petretto Enrico, Shawn Hoon, Kwang Wei Tham, Yap Seng Chong, Yung Seng Lee, Melvin Khee-Shing Leow, Xueling Sim, Chin Meng Khoo, E Shyong Tai, Eric Yin Hao Khoo, Mei Hui Liu, Boxiang Liu
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引用次数: 0

摘要

通过运动和饮食减肥可以降低患2型糖尿病的风险,但人类体重减轻对基因表达和剪接的遗传调控尚不清楚。我们收集了54名超重/肥胖的亚洲人在16周生活方式干预前后的临床数据和骨骼肌活检,该干预导致平均体重减轻~ 10%,同时伴有胰岛素刺激的葡萄糖摄取增加~ 30%。252项临床特征中的118项和6项血脂均有改善。配对骨骼肌活检的转录组学分析鉴定出505个线粒体功能和胰岛素敏感性富集的差异表达基因。在干预前后检测到数千个肌肉特异性表达/剪接数量性状位点(e/ sqtl),包括数百个与生活方式相关的e/ sqtl。值得注意的是,大约4.2%的eqtl和7.3%的sqtl显示出亚洲特异性。与全基因组关联研究(GWAS)联合分析确定了16个假定的代谢风险基因。我们的研究揭示了基因与生活方式的相互作用,以及生活方式如何调节骨骼肌中的基因调控。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of polymorphisms on gene expression and splicing in response to exercise and diet-induced weight loss in human skeletal muscle tissues.

Weight loss through exercise and diet reduces the risk of type 2 diabetes, but the genetic regulation of gene expression and splicing in response to weight loss remains unclear in humans. We collected clinical data and skeletal muscle biopsies from 54 overweight/obese Asian individuals before and after a 16-week lifestyle intervention, which resulted in an average of ∼10% weight loss, accompanied by an ∼30% increase in insulin-stimulated glucose uptake. Improvements were observed in 118 of 252 clinical traits and six blood lipids. Transcriptomic analysis of paired skeletal muscle biopsies identified 505 differentially expressed genes enriched in mitochondrial function and insulin sensitivity. Thousands of muscle-specific expression/splicing quantitative trait loci (e/sQTLs) were detected pre- and post-intervention, including hundreds of lifestyle-responsive e/sQTLs. Notably, approximately 4.2% of eQTLs and 7.3% of sQTLs showed Asian specificity. Joint analysis with genome-wide association study (GWAS) identified 16 putative metabolic risk genes. Our study reveals gene-by-lifestyle interactions and how lifestyle modulates gene regulation in skeletal muscle.

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