Inserm, Bordeaux Population Health Research Center, UMR U1219, Université de Bordeaux, F-33000, Bordeaux, France.
Inserm U1219, Institut de Santé Publique, d'Épidémiologie et de Développement, Université de Bordeaux, 146 rue Léo Saignat, 33076, Bordeaux, France.
Curr Nutr Rep. 2019 Sep;8(3):256-269. doi: 10.1007/s13668-019-00285-1.
Worldwide, approximately 50 million people have dementia (mostly Alzheimer's disease). Dementia results from a multicomponent pathophysiology that follows complex dynamics over many years before symptoms become apparent. Nutrition may represent a target of choice for the primary prevention of dementia; however, there is still no firm answer on how to prevent dementia efficiently. We provide a broad overview of recent studies leveraging system biology and life-long epidemiology to address the multidimensionality and dynamical patterns underlying dementia and improve knowledge on the link between nutrition, cardiometabolic health and dementia risk.
The aging of reference population-based cohort studies, the increasing availability of cutting-edge biomarkers (e.g., brain imaging, metabolomics) and the refinement of statistical tools to model complex exposures and dynamical health outcomes have yielded substantial progress in the understanding of dementia. Systems biology coupled with life-course epidemiology will pave the way toward novel precision nutrition approaches for prevention and management of dementia.
目的综述:全世界约有 5000 万人患有痴呆症(主要为阿尔茨海默病)。痴呆症是由多种病理生理学引起的,这些病理生理学在症状出现之前多年就遵循复杂的动态变化。营养可能是预防痴呆症的首选目标;然而,对于如何有效地预防痴呆症,目前仍没有明确的答案。我们提供了一个广泛的概述,利用系统生物学和终身流行病学来解决痴呆症的多维性和动态模式,并提高对营养、心血管代谢健康与痴呆症风险之间联系的认识。
最近的发现:基于参考人群队列研究的老龄化,先进生物标志物(如脑成像、代谢组学)的可用性不断增加,以及用于对复杂暴露和动态健康结果进行建模的统计工具的改进,使得对痴呆症的理解取得了实质性进展。系统生物学与终生流行病学相结合,将为预防和管理痴呆症开辟新的精准营养方法。