Midlife sensory and motor functions improve prediction of blood-based measures of neurodegeneration and Alzheimer's disease in late middle-age.

IF 4 Q1 CLINICAL NEUROLOGY
Adam J Paulsen, A Alex Pinto, Carla R Schubert, Richard J Chappell, Yanjun Chen, Corinne D Engelman, Luigi Ferrucci, Laura M Hancock, Sterling C Johnson, Natascha Merten
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引用次数: 0

Abstract

Introduction: We assessed whether midlife sensory and motor functions added to prediction models using the Cardiovascular Risk Factors, Aging, and Incidence of Dementia Score (CAIDE) and Framingham Risk Score (FRS) improve risk predictions of 10-year changes in biomarkers of neurodegeneration and Alzheimer's disease.

Methods: Longitudinal data of N = 1529 (mean age 49years) Beaver Dam Offspring Study participants from baseline, 5-year, and 10-year follow-up were included. We tested whether including baseline sensory (hearing, vision, olfactory) impairment and motor function measures improves CAIDE or FRS risk predictions of 10-year incidence of biomarker positivity of serum-based neurofilament light chain (NfL) and amyloid beta (Aβ)42/Aβ40 using logistic regression.

Results: Adding sensory and motor measures to CAIDE-only and FRS-only models significantly improved NfL and Aβ42/Aβ40 positivity predictions in adults above the age of 55.

Discussion: Including midlife sensory and motor function improved long-term biomarker positivity predictions. Non-invasive sensory and motor assessments could contribute to cost-effective screening tools that identify individuals at risk for neurodegeneration early to target interventions and preventions.

Highlights: Sensory and motor measures improve risk prediction models of neurodegenerative biomarkersSensory and motor measures improve risk prediction models of AD biomarkersPrediction improvements were strongest in late midlife (adults >55 years of age)Sensory and motor assessments may help identify high-risk individuals early.

中年期的感觉和运动功能提高了对中年后期神经变性和阿尔茨海默病的血液测量的预测能力。
介绍:我们评估了在使用心血管风险因素、老龄化和痴呆症发病率评分(CAIDE)和弗雷明汉风险评分(FRS)的预测模型中添加中年感觉和运动功能是否会改善神经变性和阿尔茨海默病生物标志物 10 年变化的风险预测:研究纳入了海狸坝后代研究(Beaver Dam Offspring Study)1529 名参与者(平均年龄 49 岁)的基线、5 年和 10 年随访的纵向数据。我们使用逻辑回归法检验了加入基线感官(听力、视力、嗅觉)损伤和运动功能测试是否能改善 CAIDE 或 FRS 对血清神经丝轻链 (NfL) 和淀粉样蛋白 beta (Aβ)42/Aβ40 的生物标记物阳性 10 年发病率的风险预测:结果:在纯CAIDE模型和纯FRS模型中加入感觉和运动指标可显著改善55岁以上成人的NfL和Aβ42/Aβ40阳性预测:将中年期感觉和运动功能包括在内可提高长期生物标志物阳性预测。无创感觉和运动评估有助于开发具有成本效益的筛查工具,及早发现有神经退行性病变风险的个体,从而有针对性地进行干预和预防:感官和运动评估可改善神经退行性疾病生物标志物的风险预测模型感官和运动评估可改善AD生物标志物的风险预测模型中年后期(年龄大于55岁的成年人)的预测改善效果最强。
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来源期刊
CiteScore
7.80
自引率
7.50%
发文量
101
审稿时长
8 weeks
期刊介绍: Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
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