Genetic and phenotypic links between obesity and extracellular vesicles

Author:

Zhai Ranran12ORCID,Pan Lu3,Yang Zhijian12,Li Ting12,Ning Zheng3,Pawitan Yudi3,Wilson James F45,Wu Di6,Shen Xia12347ORCID

Affiliation:

1. Biostatistics Group, School of Life Sciences, Sun Yat-sen University , Guangzhou 510275 , China

2. Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University , Guangzhou 511458 , China

3. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet , Stockholm 17177 , Sweden

4. Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh , Edinburgh EH8 9AG , UK

5. MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh , Edinburgh EH4 2XU , UK

6. Vesicode AB , Stockholm 17165 , Sweden

7. State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University , Shanghai 200441 , China

Abstract

Abstract 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.

Funder

Swedish Research Council

National Natural Science Foundation of China

Orkney Complex Disease Study

Chief Scientist Office of the Scottish Government

Quantitative Traits in Health and Disease

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology,General Medicine

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