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
{"title":"The extracellular vesicle transcriptome provides tissue-specific functional genomic annotation relevant to disease susceptibility in obesity.","authors":"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","doi":"10.1016/j.xgen.2025.100925","DOIUrl":null,"url":null,"abstract":"<p><p>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<sup>-</sup>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.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":" ","pages":"100925"},"PeriodicalIF":11.1000,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell genomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.xgen.2025.100925","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/15 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
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.