Branched chain amino acids harbor distinct and often opposing effects on health and disease

Author:

Avery Christy L.ORCID,Howard Annie GreenORCID,Lee Harold H.,Downie Carolina G.,Lee Moa P.,Koenigsberg Sarah H.ORCID,Ballou Anna F.ORCID,Preuss Michael H.ORCID,Raffield Laura M.ORCID,Yarosh Rina A.,North Kari E.ORCID,Gordon-Larsen PennyORCID,Graff MariaelisaORCID

Abstract

Abstract Background The branched chain amino acids (BCAA) leucine, isoleucine, and valine are essential nutrients that have been associated with diabetes, cancers, and cardiovascular diseases. Observational studies suggest that BCAAs exert homogeneous phenotypic effects, but these findings are inconsistent with results from experimental human and animal studies. Methods Hypothesizing that inconsistencies between observational and experimental BCAA studies reflect bias from shared lifestyle and genetic factors in observational studies, we used data from the UK Biobank and applied multivariable Mendelian randomization causal inference methods designed to address these biases. Results In n = 97,469 participants of European ancestry (mean age = 56.7 years; 54.1% female), we estimate distinct and often opposing total causal effects for each BCAA. For example, of the 117 phenotypes with evidence of a statistically significant total causal effect for at least one BCAA, almost half (44%, n = 52) are associated with only one BCAA. These 52 associations include total causal effects of valine on diabetic eye disease [odds ratio = 1.51, 95% confidence interval (CI) = 1.31, 1.76], valine on albuminuria (odds ratio = 1.14, 95% CI = 1.08, 1.20), and isoleucine on angina (odds ratio = 1.17, 95% CI = 1.31, 1.76). Conclusions Our results suggest that the observational literature provides a flawed picture of BCAA phenotypic effects that is inconsistent with experimental studies and could mislead efforts developing novel therapeutics. More broadly, these findings motivate the development and application of causal inference approaches that enable ‘omics studies conducted in observational settings to account for the biasing effects of shared genetic and lifestyle factors.

Funder

U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute

U.S. Department of Health & Human Services | National Institutes of Health

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

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