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肥胖易感性对人体双胞胎系统影响的全基因组关联研究。

Epigenome-wide association study of systemic effects of obesity susceptibility in human twins.

机构信息

Department of Nutrition and Exercise Physiology, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA.

Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, USA.

出版信息

Epigenetics. 2023 Dec;18(1):2268834. doi: 10.1080/15592294.2023.2268834. Epub 2023 Oct 23.

Abstract

The current study was designed to use an epigenome-wide association approach (EWAS) to identify potential systemic DNA methylation alterations that are associated with obesity using 22 discordant twin pairs. Buccal cells (from a cheek swab) were used as a non-obesity relevant purified marker cell for the epigenetic analysis. Analysis of differential DNA methylation regions (DMRs) was used to identify epigenetic associations with metabolic and dietary measures related to obesity with discordant twins. An edgeR analysis provided a DMR signature with  < 1e-04, but statistical significance was reduced due to low sample size and known multiple origins of obesity. A weighted gene coexpression network analysis (WGCNA) was performed and identified modules ( < 0.005) of epigenetic sites that correlated with different metabolic and dietary measures. The DMR and WGCNA epigenetic sites were near genes (e.g., CIDEC, SPP1, ZFPG9, and POMC) with previously identified obesity associated pathways (e.g., metabolism, cholesterol, and fat digestion). Observations demonstrate the feasibility of identifying systemic epigenetic biomarkers for obesity, which can be further investigated for clinical relevance in future research with larger sample sizes. The availability of a systemic epigenetic biomarker for obesity susceptibility may facilitate preventative medicine and clinical management of the disease early in life.

摘要

本研究旨在使用全基因组关联分析(EWAS)方法,通过 22 对不一致的双胞胎,确定与肥胖相关的潜在系统性 DNA 甲基化改变。颊细胞(来自颊拭子)被用作与肥胖无关的纯标记细胞进行表观遗传学分析。分析差异 DNA 甲基化区域(DMR),以鉴定与肥胖相关的代谢和饮食措施的表观遗传关联。边缘分析提供了一个具有 <1e-04 的 DMR 特征,但由于样本量小和已知肥胖的多种来源,统计学意义降低。进行了加权基因共表达网络分析(WGCNA),并鉴定了与不同代谢和饮食措施相关的表观遗传位点模块(<0.005)。DMR 和 WGCNA 表观遗传位点附近的基因(例如 CIDEC、SPP1、ZFPG9 和 POMC)与先前确定的肥胖相关途径(例如代谢、胆固醇和脂肪消化)有关。这些观察结果表明,鉴定肥胖的系统性表观遗传生物标志物是可行的,未来可以在更大的样本量研究中进一步探讨其在临床相关性方面的研究。肥胖易感性的系统性表观遗传生物标志物的出现,可能有助于预防医学和肥胖症的临床管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8489/10595392/395449b38c68/KEPI_A_2268834_F0001_B.jpg

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