Avery Christy L, Howard Annie Green, Lee Harold H, Downie Carolina G, Lee Moa P, Koenigsberg Sarah H, Ballou Anna F, Preuss Michael H, Raffield Laura M, Yarosh Rina A, North Kari E, Gordon-Larsen Penny, Graff Mariaelisa
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27516, USA.
Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27516, USA.
Commun Med (Lond). 2023 Nov 28;3(1):172. doi: 10.1038/s43856-023-00382-x.
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.
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.
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).
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.
支链氨基酸(BCAA)中的亮氨酸、异亮氨酸和缬氨酸是必需营养素,与糖尿病、癌症和心血管疾病有关。观察性研究表明,支链氨基酸具有相同的表型效应,但这些发现与人体和动物实验研究的结果不一致。
假设观察性和实验性支链氨基酸研究之间的不一致反映了观察性研究中共同生活方式和遗传因素造成的偏差,我们使用了英国生物银行的数据,并应用多变量孟德尔随机化因果推断方法来解决这些偏差。
在n = 97469名欧洲血统参与者(平均年龄 = 56.7岁;54.1%为女性)中,我们估计了每种支链氨基酸不同且往往相反的总因果效应。例如,在117种表型中,至少有一种支链氨基酸有统计学显著总因果效应的证据,其中近一半(44%,n = 52)仅与一种支链氨基酸相关。这52种关联包括缬氨酸对糖尿病眼病的总因果效应[优势比 = 1.51,95%置信区间(CI)= 1.31,1.76]、缬氨酸对蛋白尿的总因果效应(优势比 = 1.14,95% CI = 1.08,1.20)以及异亮氨酸对心绞痛的总因果效应(优势比 = 1.17,95% CI = 1.31,1.76)。
我们的结果表明,观察性文献提供了一幅有缺陷的支链氨基酸表型效应图景,与实验研究不一致,可能会误导新型治疗方法的研发。更广泛地说,这些发现推动了因果推断方法的发展和应用,使在观察性环境中进行的“组学”研究能够考虑共同遗传和生活方式因素的偏倚效应。