4.5 Article

Effects of adiposity on the human plasma proteome: observational and Mendelian randomisation estimates

Journal

INTERNATIONAL JOURNAL OF OBESITY
Volume 45, Issue 10, Pages 2221-2229

Publisher

SPRINGERNATURE
DOI: 10.1038/s41366-021-00896-1

Keywords

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Funding

  1. University of Bristol alumni on the 4-year BHF Integrative Cardiovascular Science PhD programme
  2. Elizabeth Blackwell Institute for Health Research, University of Bristol
  3. Wellcome Trust Institutional Strategic Support Fund [204813/Z/16/Z]
  4. Wellcome Trust [202802/Z/16/Z]
  5. Medical Research Council [MC_UU_00011/1]
  6. British Heart Foundation
  7. NIHR
  8. National Institute for Health Research (Senior Investigator Award)
  9. EPSRC Prostanoid programme [EP/M012530/1]
  10. BHF [PG/16/3/31833]
  11. Wellcome Trust Investigator [202802/Z/16/Z]
  12. Avon Longitudinal Study of Parents and Children (MRC) [WT 102215/2/13/2]
  13. University of Bristol NIHR Biomedical Research Centre [BRC-1215-20011]
  14. MRC Integrative Epidemiology Unit [MC_UU_12013/3]
  15. CRUK Integrative Cancer Epidemiology Programme [C18281/A19169]
  16. Wellcome Trust [202802/Z/16/Z] Funding Source: Wellcome Trust

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This study investigates the effects of body mass index (BMI) on circulating proteins and finds a broad impact of adiposity on the human proteome. Proteins strongly altered by BMI include those involved in regulating appetite, sex hormones, and inflammation, and are enriched for genes associated with cardiovascular disease. The results highlight new proteomic signatures of obesity-related disease.
Background Variation in adiposity is associated with cardiometabolic disease outcomes, but mechanisms leading from this exposure to disease are unclear. This study aimed to estimate effects of body mass index (BMI) on an extensive set of circulating proteins. Methods We used SomaLogic proteomic data from up to 2737 healthy participants from the INTERVAL study. Associations between self-reported BMI and 3622 unique plasma proteins were explored using linear regression. These were complemented by Mendelian randomisation (MR) analyses using a genetic risk score (GRS) comprised of 654 BMI-associated polymorphisms from a recent genome-wide association study (GWAS) of adult BMI. A disease enrichment analysis was performed using DAVID Bioinformatics 6.8 for proteins which were altered by BMI. Results Observationally, BMI was associated with 1576 proteins (P < 1.4 x 10(-5)), with particularly strong evidence for a positive association with leptin and fatty acid-binding protein-4 (FABP4), and a negative association with sex hormone-binding globulin (SHBG). Observational estimates were likely confounded, but the GRS for BMI did not associate with measured confounders. MR analyses provided evidence for a causal relationship between BMI and eight proteins including leptin (0.63 standard deviation (SD) per SD BMI, 95% CI 0.48-0.79, P = 1.6 x 10(-15)), FABP4 (0.64 SD per SD BMI, 95% CI 0.46-0.83, P = 6.7 x 10(-12)) and SHBG (-0.45 SD per SD BMI, 95% CI -0.65 to -0.25, P = 1.4 x 10(-5)). There was agreement in the magnitude of observational and MR estimates (R-2 = 0.33) and evidence that proteins most strongly altered by BMI were enriched for genes involved in cardiovascular disease. Conclusions This study provides evidence for a broad impact of adiposity on the human proteome. Proteins strongly altered by BMI include those involved in regulating appetite, sex hormones and inflammation; such proteins are also enriched for cardiovascular disease-related genes. Altogether, results help focus attention onto new proteomic signatures of obesity-related disease.

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