The extracellular vesicle transcriptome provides tissue-specific functional genomic annotation relevant to disease susceptibility in obesity.

IF 11.1 Q1 CELL BIOLOGY
Cell genomics Pub Date : 2025-09-10 Epub Date: 2025-07-15 DOI:10.1016/j.xgen.2025.100925
Emeli Chatterjee, Michael J Betti, Quanhu Sheng, Phillip Lin, Margo P Emont, Guoping Li, Kaushik Amancherla, Marta Garcia-Contreras, Priyanka Gokulnath, Worawan B Limpitikul, Olivia Rosina Whittaker, Kathy Luong, Christopher Azzam, Denise Gee, Matthew Hutter, Karen Flanders, Parul Sahu, Charles R Flynn, Jonathan Brown, Danxia Yu, Evan D Rosen, Kendall Van-Keuren Jensen, Eric R Gamazon, Ravi Shah, Saumya Das
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引用次数: 0

Abstract

We characterized circulating extracellular vesicles (EVs) in obese and lean humans, identifying transcriptional cargo differentially expressed in obesity (277 unique genes; false discovery rate < 10%). Since circulating EVs may have broad origin, we compared this obesity EV transcriptome with expression from human visceral-adipose-tissue-derived EVs from freshly collected and cultured biopsies from the same obese individuals, observing high concordance. Using a comprehensive set of adipose-specific epigenomic and chromatin conformation assays, we found that the differentially expressed transcripts from the EVs were those regulated in adipose by body mass index-associated SNPs (p < 5 × 10-8) from a large-scale genome-wide association study (GWAS). Using a phenome-wide association study of the regulatory SNPs for the EV-derived transcripts, we identified a substantial enrichment for inflammatory phenotypes, including type 2 diabetes. Collectively, these findings represent the convergence of the GWAS (genetics), epigenomics (transcript regulation), and EV (liquid biopsy) fields, enabling powerful future genomic studies of complex diseases.

细胞外囊泡转录组提供了与肥胖疾病易感性相关的组织特异性功能基因组注释。
我们对肥胖和瘦人的循环细胞外囊泡(EVs)进行了表征,鉴定了肥胖人群中差异表达的转录货物(277个独特基因;错误发现率< 10%)。由于循环EVs可能具有广泛的起源,我们将该肥胖EVs转录组与来自同一肥胖个体的新鲜收集和培养活检的人内脏脂肪组织源性EVs的表达进行了比较,观察到高度一致性。通过一组全面的脂肪特异性表观基因组和染色质构象分析,我们发现ev的差异表达转录物是由大规模全基因组关联研究(GWAS)中体重指数相关snp (p < 5 × 10-8)在脂肪中调节的转录物。通过对ev衍生转录本的调控snp的全现象关联研究,我们发现了炎症表型(包括2型糖尿病)的大量富集。总的来说,这些发现代表了GWAS(遗传学)、表观基因组学(转录调控)和EV(液体活检)领域的融合,使未来复杂疾病的基因组研究成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
7.10
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