Carnegie Rebecca, Zheng Jie, Sallis Hannah M, Jones Hannah J, Wade Kaitlin H, Evans Jonathan, Zammit Stan, Munafò Marcus R, Martin Richard M
Centre for Academic Mental Health, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; Medical Research Centre (MRC), Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; Medical Research Centre (MRC), Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Lancet Psychiatry. 2020 Feb;7(2):208-216. doi: 10.1016/S2215-0366(19)30293-7. Epub 2019 Nov 20.
Nutritional psychiatry is a growing area of research, with several nutritional factors implicated in the cause of psychiatric ill-health. However, nutritional research is highly complex, with multiple potential factors involved, highly confounded exposures and small effect sizes for individual nutrients. This Personal View considers whether Mendelian randomisation provides a solution to these difficulties, by investigating causality in a low-risk and low-cost way. We reviewed studies using Mendelian randomisation in nutritional psychiatry, along with the potential opportunities and challenges of using this approach for investigating the causal effects of nutritional exposures. Several studies have identified nutritional exposures that are potentially causal by using Mendelian randomisation in psychiatry, offering opportunities for further mechanistic research, intervention development, and replication. The use of Mendelian randomisation as a foundation for intervention development facilitates the best use of resources in an emerging discipline in which opportunities are rich, but resources are often poor.
营养精神病学是一个不断发展的研究领域,有多种营养因素与精神健康不佳的成因有关。然而,营养研究极为复杂,涉及多个潜在因素、高度混杂的暴露因素以及单个营养素的效应量较小。这篇个人观点文章探讨孟德尔随机化是否能以低风险、低成本的方式研究因果关系,从而解决这些难题。我们回顾了在营养精神病学中使用孟德尔随机化的研究,以及使用这种方法研究营养暴露因果效应的潜在机遇和挑战。几项研究通过在精神病学中使用孟德尔随机化确定了可能具有因果关系的营养暴露,为进一步的机制研究、干预措施开发和重复研究提供了机会。将孟德尔随机化用作干预措施开发的基础,有助于在一个机遇丰富但资源往往匮乏的新兴学科中充分利用资源。