Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
Sleep and dementia: Assessing established dementia-related factors using multivariable Mendelian randomization.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Guo Yunyun, Wang Rui, Sindi Shireen, Middleton Lefkos T, Kivipelto Miia
Аннотация
INTRODUCTION: The relationship between sleep, other dementia risk factors, and dementia remains unclear. We aim to explore these associations using a two-sample Mendelian randomization (MR) approach.
METHODS: We identified genetic instrumental variables for sleep characteristics from the UK Biobank and obtained summary-level genetic association data for dementia outcomes, including Alzheimer's disease (AD), from the FinnGen consortium. We applied inverse-variance weighted (IVW) MR to examine the associations between sleep characteristics and dementia outcomes. Multivariable MR was subsequently employed to assess the influence of additional dementia-relevant factors on these relationships.
RESULTS: Genetic variants for insomnia, among the sleep characteristics, were associated with elevated AD risk (odds ratio [OR]IVW = 3.02, 95% confidence interval [CI]: 1.28-7.10, p = 0.01). Yet this association was largely attenuated after adjusting for education and low-density lipoprotein (LDL).
DISCUSSION: These findings indicate that the association between insomnia and AD is complex and indirect, potentially operating through social-behavioral factors (education) and biological pathways such as LDL cholesterol.
METHODS: We identified genetic instrumental variables for sleep characteristics from the UK Biobank and obtained summary-level genetic association data for dementia outcomes, including Alzheimer's disease (AD), from the FinnGen consortium. We applied inverse-variance weighted (IVW) MR to examine the associations between sleep characteristics and dementia outcomes. Multivariable MR was subsequently employed to assess the influence of additional dementia-relevant factors on these relationships.
RESULTS: Genetic variants for insomnia, among the sleep characteristics, were associated with elevated AD risk (odds ratio [OR]IVW = 3.02, 95% confidence interval [CI]: 1.28-7.10, p = 0.01). Yet this association was largely attenuated after adjusting for education and low-density lipoprotein (LDL).
DISCUSSION: These findings indicate that the association between insomnia and AD is complex and indirect, potentially operating through social-behavioral factors (education) and biological pathways such as LDL cholesterol.