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鉴定脂肪组织中表达影响体脂肪量和分布的新基因:RNA-Seq 和孟德尔随机化研究。

Identification of novel genes whose expression in adipose tissue affects body fat mass and distribution: an RNA-Seq and Mendelian Randomization study.

机构信息

Digital Health & Machine Learning Research Group, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany.

Molecular Epidemiology Research Group, Max Delbrück Center (MDC) for Molecular Medicine in the Helmholtz Association, Berlin, Germany.

出版信息

Eur J Hum Genet. 2024 Sep;32(9):1127-1135. doi: 10.1038/s41431-022-01161-3. Epub 2022 Aug 11.

DOI:10.1038/s41431-022-01161-3
PMID:35953519
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11369295/
Abstract

Many studies have shown that abdominal adiposity is more strongly related to health risks than peripheral adiposity. However, the underlying pathways are still poorly understood. In this cross-sectional study using data from RNA-sequencing experiments and whole-body MRI scans of 200 participants in the EPIC-Potsdam cohort, our aim was to identify novel genes whose gene expression in subcutaneous adipose tissue has an effect on body fat mass (BFM) and body fat distribution (BFD). The analysis identified 625 genes associated with adiposity, of which 531 encode a known protein and 487 are novel candidate genes for obesity. Enrichment analyses indicated that BFM-associated genes were characterized by their higher than expected involvement in cellular, regulatory and immune system processes, and BFD-associated genes by their involvement in cellular, metabolic, and regulatory processes. Mendelian Randomization analyses suggested that the gene expression of 69 genes was causally related to BFM and BFD. Six genes were replicated in UK Biobank. In this study, we identified novel genes for BFM and BFD that are BFM- and BFD-specific, involved in different molecular processes, and whose up-/downregulated gene expression may causally contribute to obesity.

摘要

许多研究表明,腹部肥胖与健康风险的相关性强于外周肥胖。然而,其潜在的机制仍知之甚少。在这项使用 200 名 EPIC-Potsdam 队列的 RNA 测序实验和全身 MRI 扫描数据的横断面研究中,我们的目的是确定新的基因,其在皮下脂肪组织中的表达对体脂肪量(BFM)和体脂肪分布(BFD)有影响。分析确定了 625 个与肥胖相关的基因,其中 531 个编码已知蛋白,487 个是肥胖的新候选基因。富集分析表明,与 BFM 相关的基因的特征是它们在细胞、调节和免疫系统过程中的参与度高于预期,而与 BFD 相关的基因的特征是它们在细胞、代谢和调节过程中的参与度。孟德尔随机化分析表明,69 个基因的基因表达与 BFM 和 BFD 有因果关系。其中 6 个基因在英国生物银行中得到了复制。在这项研究中,我们确定了 BFM 和 BFD 的新基因,这些基因是 BFM 和 BFD 特异性的,参与不同的分子过程,其上调/下调的基因表达可能是肥胖的因果因素。

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