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Genetic and phenotypic links between obesity and extracellular vesicles

Obesity has a highly complex genetic architecture, making it difficult to understand the genetic mechanisms, despite the large number of discovered loci via genome-wide association studies (GWAS). Omics techniques have provided a better resolution to view this problem. As a proxy of cell-level biolo...

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Autores principales: Zhai, Ranran, Pan, Lu, Yang, Zhijian, Li, Ting, Ning, Zheng, Pawitan, Yudi, Wilson, James F, Wu, Di, Shen, Xia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616576/
https://www.ncbi.nlm.nih.gov/pubmed/35357430
http://dx.doi.org/10.1093/hmg/ddac069
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author Zhai, Ranran
Pan, Lu
Yang, Zhijian
Li, Ting
Ning, Zheng
Pawitan, Yudi
Wilson, James F
Wu, Di
Shen, Xia
author_facet Zhai, Ranran
Pan, Lu
Yang, Zhijian
Li, Ting
Ning, Zheng
Pawitan, Yudi
Wilson, James F
Wu, Di
Shen, Xia
author_sort Zhai, Ranran
collection PubMed
description Obesity has a highly complex genetic architecture, making it difficult to understand the genetic mechanisms, despite the large number of discovered loci via genome-wide association studies (GWAS). Omics techniques have provided a better resolution to view this problem. As a proxy of cell-level biology, extracellular vesicles (EVs) are useful for studying cellular regulation of complex phenotypes such as obesity. Here, in a well-established Scottish cohort, we utilized a novel technology to detect surface proteins across millions of single EVs in each individual’s plasma sample. Integrating the results with established obesity GWAS, we inferred 78 types of EVs carrying one or two of 12 surface proteins to be associated with adiposity-related traits such as waist circumference. We then verified that particular EVs’ abundance is negatively correlated with body adiposity, while no association with lean body mass. We also revealed that genetic variants associated with protein-specific EVs capture 2–4-fold heritability enrichment for blood cholesterol levels. Our findings provide evidence that EVs with specific surface proteins have phenotypic and genetic links to obesity and blood lipids, respectively, guiding future EV biomarker research.
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spelling pubmed-96165762022-11-01 Genetic and phenotypic links between obesity and extracellular vesicles Zhai, Ranran Pan, Lu Yang, Zhijian Li, Ting Ning, Zheng Pawitan, Yudi Wilson, James F Wu, Di Shen, Xia Hum Mol Genet General Article Obesity has a highly complex genetic architecture, making it difficult to understand the genetic mechanisms, despite the large number of discovered loci via genome-wide association studies (GWAS). Omics techniques have provided a better resolution to view this problem. As a proxy of cell-level biology, extracellular vesicles (EVs) are useful for studying cellular regulation of complex phenotypes such as obesity. Here, in a well-established Scottish cohort, we utilized a novel technology to detect surface proteins across millions of single EVs in each individual’s plasma sample. Integrating the results with established obesity GWAS, we inferred 78 types of EVs carrying one or two of 12 surface proteins to be associated with adiposity-related traits such as waist circumference. We then verified that particular EVs’ abundance is negatively correlated with body adiposity, while no association with lean body mass. We also revealed that genetic variants associated with protein-specific EVs capture 2–4-fold heritability enrichment for blood cholesterol levels. Our findings provide evidence that EVs with specific surface proteins have phenotypic and genetic links to obesity and blood lipids, respectively, guiding future EV biomarker research. Oxford University Press 2022-03-31 /pmc/articles/PMC9616576/ /pubmed/35357430 http://dx.doi.org/10.1093/hmg/ddac069 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle General Article
Zhai, Ranran
Pan, Lu
Yang, Zhijian
Li, Ting
Ning, Zheng
Pawitan, Yudi
Wilson, James F
Wu, Di
Shen, Xia
Genetic and phenotypic links between obesity and extracellular vesicles
title Genetic and phenotypic links between obesity and extracellular vesicles
title_full Genetic and phenotypic links between obesity and extracellular vesicles
title_fullStr Genetic and phenotypic links between obesity and extracellular vesicles
title_full_unstemmed Genetic and phenotypic links between obesity and extracellular vesicles
title_short Genetic and phenotypic links between obesity and extracellular vesicles
title_sort genetic and phenotypic links between obesity and extracellular vesicles
topic General Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616576/
https://www.ncbi.nlm.nih.gov/pubmed/35357430
http://dx.doi.org/10.1093/hmg/ddac069
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