Department of Psychology, The Ohio State University, Columbus, USA.
National Center for PTSD, VA Boston Healthcare System, Massachusetts, USA.
J Gerontol A Biol Sci Med Sci. 2021 Jul 13;76(8):1415-1422. doi: 10.1093/gerona/glab117.
Body mass index (BMI) is a risk factor for Alzheimer's disease (AD) although the relationship is complex. Obesity in midlife is associated with increased risk for AD, whereas evidence supports both higher and lower BMI increasing risk for AD in late life. This study examined the influence of individual differences in genetic risk for AD to further clarify the relationship between late-life BMI and conversion to AD. Participants included 52 individuals diagnosed as having mild cognitive impairment (MCI) at baseline who converted to AD within 24 months and 52 matched MCI participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. BMI was measured at baseline. Genetic risk for AD was assessed via genome-wide polygenic risk scores. Conditional logistic regression models were run to determine if BMI and polygenic risk predicted conversion to AD. Results showed an interaction between BMI and genetic risk, such that individuals with lower BMI and higher polygenic risk were more likely to convert to AD relative to individuals with higher BMI. These results remained significant after adjusting for cerebrospinal fluid biomarkers of AD. Exploratory sex-stratified analyses revealed this relationship only remained significant in males. These results show that higher genetic risk in the context of lower BMI predicts conversion to AD in the next 24 months, particularly among males. These findings suggest that genetic risk for AD in the context of lower BMI may serve as a prodromal risk factor for future conversion to AD.
体重指数 (BMI) 是阿尔茨海默病 (AD) 的一个风险因素,尽管这种关系很复杂。中年肥胖与 AD 风险增加有关,而证据支持较高和较低的 BMI 在晚年增加 AD 风险。本研究通过个体对 AD 的遗传风险差异来进一步阐明晚年 BMI 与 AD 转化之间的关系。参与者包括 52 名在基线时被诊断为轻度认知障碍 (MCI) 的个体,他们在 24 个月内转化为 AD,以及来自阿尔茨海默病神经影像学倡议 (ADNI) 队列的 52 名匹配的 MCI 参与者。在基线时测量了 BMI。通过全基因组多基因风险评分评估 AD 的遗传风险。运行条件逻辑回归模型以确定 BMI 和多基因风险是否预测向 AD 的转化。结果显示 BMI 和遗传风险之间存在相互作用,即与 BMI 较高的个体相比,BMI 较低且多基因风险较高的个体更有可能转化为 AD。这些结果在调整 AD 的脑脊液生物标志物后仍然显著。探索性的性别分层分析表明,这种关系仅在男性中仍然显著。这些结果表明,在 BMI 较低的情况下,AD 的遗传风险较高可能预示着未来 24 个月内 AD 的转化,尤其是在男性中。这些发现表明,BMI 较低的情况下 AD 的遗传风险可能是未来转化为 AD 的前驱风险因素。