Difference in trajectories according to early amyloid accumulation in cognitively unimpaired elderly

Author:

Kim Young Ju12,Yun Jihwan13ORCID,Seo Sang Won1245,Kim Jun Pyo12,Jang Hyemin16ORCID,Kim Hee Jin1245ORCID,Na Duk L.12,Woo Sookyoung7,Chun Min Young189ORCID,

Affiliation:

1. Department of Neurology, Samsung Medical Centre Sungkyunkwan University School of Medicine Seoul South Korea

2. Neuroscience Centre Samsung Medical Centre Seoul South Korea

3. Department of Neurology, Soonchunhyang University Bucheon Hospital Soonchunhyang University School of Medicine Bucheon South Korea

4. Department of Digital Health, SAIHST Sungkyunkwan University Seoul South Korea

5. Department of Health Sciences and Technology, SAIHST Sungkyunkwan University Seoul South Korea

6. Department of Neurology, Seoul National University Hospital Seoul National University School of Medicine Seoul South Korea

7. Biostatistics Team Samsung Biomedical Research Institute Seoul South Korea

8. Department of Neurology Yonsei University College of Medicine Seoul South Korea

9. Department of Neurology, Yongin Severance Hospital Yonsei University Health System Yongin South Korea

Abstract

AbstractBackground and purposeAmyloid β (Aβ), a major biomarker of Alzheimer's disease, leads to tau accumulation, neurodegeneration and cognitive decline. Modelling the trajectory of Aβ accumulation in cognitively unimpaired (CU) individuals is crucial, as treatments targeting Aβ are anticipated. The evolution of Aβ levels was investigated to determine whether it could lead to classification into different groups by studying longitudinal Aβ changes in older CU individuals, and differences between the groups were compared.MethodsA total of 297 CU participants were included from the Alzheimer's Disease Neuroimaging Initiative database, and these participants underwent apolipoprotein E (APOE) genotyping, neuropsychological testing, brain magnetic resonance imaging, and an average of 3.03 follow‐up 18F‐florbetapir positron emission tomography scans. Distinct Aβ trajectory patterns were classified using latent class growth analysis, and longitudinal cognitive performances across these patterns were assessed with a linear mixed effects model.ResultsThe optimal model consisted of three classes, with a high entropy value of 0.947. The classes were designated as follows: class 1, non‐accumulation group (n  = 197); class 2, late accumulation group (n  = 70); and class 3, early accumulation group (n  = 30). The late accumulation and early accumulation groups had more APOE ε4 carriers than the non‐accumulation group. The longitudinal analysis of cognitive performance revealed that the early accumulation group showed the steepest decline (modified Preclinical Alzheimer's Cognitive Composite with digit symbol substitution [mPACCdigit], p < 0.001; modified Preclinical Alzheimer's Cognitive Composite with trails B [mPACCtrailsB], p < 0.001) and the late accumulation group showed a steeper decline (mPACCdigit, p = 0.014; mPACCtrailsB, p = 0.007) compared to the non‐accumulation group.ConclusionsOur study showed the heterogeneity of Aβ accumulation trajectories in CU older individuals. The prognoses for cognitive decline differ according to the Aβ trajectory patterns.

Funder

Yonsei University College of Medicine

Samsung Medical Center, Sungkyunkwan University

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3