印度老年人生命过程中痴呆危险因素、血浆神经退行性生物标志物和认知之间的横断面关联

Sarah Gao, Alden L Gross, Leon M Aksman, Masroor Anwar, Eileen M Crimmins, Sharmistha Dey, Abhishek Gupta, Bharat Thyagarajan, Jinkook Lee, Emma Nichols
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引用次数: 0

摘要

背景:血浆神经退行性生物标志物是在基于人群的研究中研究阿尔茨海默病和痴呆症的潜在低成本工具,特别是在低收入和中等收入国家(LMIC)。然而,它们与可改变的危险因素的关联以及作为流行病学研究结果的效用仍不清楚。目的:我们的目的是估计痴呆可改变的生命过程危险因素与血浆神经退行性生物标志物之间的横断面关联,并比较具有人口代表性的印度样本中生命过程危险因素与认知之间的关联。方法:使用印度纵向衰老研究中具有全国代表性的痴呆诊断评估数据(N=1625,平均年龄68.2岁),我们估计线性回归来比较生命过程危险因素与神经退行性生物标志物(β-淀粉样蛋白42/40、总tau、磷酸化Tau181、GFAP、NfL)和认知结果(一般认知、记忆)之间的横断面相关性。结果:尽管13个危险因素中有7个与认知结果有显著相关性,但危险因素与神经退行性生物标志物之间的相关性基本为零,有一些例外;例如,高血压(β=0.17SD; 95% CI:0.08,0.26)和糖尿病(β=0.21SD; 95% CI:0.09, 0.32)与高NfL相关。结论:虽然我们发现痴呆的生命过程危险因素与认知之间存在预期的关联,但没有强有力的证据表明痴呆的危险因素与基于血浆的生物标志物之间存在横断面关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cross-sectional associations between lifecourse dementia risk factors, plasma neurodegenerative biomarkers, and cognition in older adults in India.

Background: Plasma neurodegenerative biomarkers are a potential low-cost tool for studying Alzheimer's disease and dementia in population-based research, especially in low- and middle-income countries (LMIC). However, their associations with modifiable risk factors and utility as an outcome in epidemiologic studies remain unclear.

Objective: Our objective was to estimate the cross-sectional association between modifiable lifecourse risk factors for dementia and plasma-based neurodegenerative biomarkers, and to compare those with the associations between lifecourse risk factors and cognition in a population-representative Indian sample.

Methods: Using nationally representative data from the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (N=1625, average age 68.2 years), we estimated linear regressions to compare cross-sectional associations between lifecourse risk factors and both neurodegenerative biomarkers (β-amyloid 42/40, total-tau, phosphorylated Tau181, GFAP, NfL) and cognitive outcomes (general cognition, memory).

Results: Despite significant associations between seven of thirteen risk factors and cognitive outcomes, associations between risk factors and neurodegenerative biomarkers were largely null with some exceptions; for example, hypertension (β=0.17SD; 95% CI:0.08,0.26) and diabetes (β=0.21SD; 95% CI:0.09, 0.32) were associated with higher NfL.

Conclusions: While we found expected associations between lifecourse risk factors for dementia and cognition, there was not strong evidence of cross-sectional associations between risk factors for dementia and plasma-based biomarkers.

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