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

被引：1

作者：

Kim, Young Ju ^{[1
,2
]}

Yun, Jihwan ^{[1
,3
]}

Seo, Sang Won ^{[1
,2
,4
,5
]}

Kim, Jun Pyo ^{[1
,2
]}

Jang, Hyemin ^{[1
,6
]}

Kim, Hee Jin ^{[1
,2
,4
,5
]}

Na, Duk L. ^{[1
,2
]}

Woo, Sookyoung ^{[7
]}

Chun, Min Young ^{[1
,8
,9
]}

机构：

[1] Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Dept Neurol, Seoul, South Korea

[2] Samsung Med Ctr, Neurosci Ctr, Seoul, South Korea

[3] Soonchunhyang Univ, Bucheon Hosp, Sch Med, Dept Neurol, Bucheon, South Korea

[4] Sungkyunkwan Univ, Dept Digital Hlth, SAIHST, Seoul, South Korea

[5] Sungkyunkwan Univ, Dept Hlth Sci & Technol, SAIHST, Seoul, South Korea

[6] Seoul Natl Univ, Seoul Natl Univ Hosp, Coll Med, Dept Neurol, Seoul, South Korea

[7] Samsung Biomed Res Inst, Biostat Team, Seoul, South Korea

[8] Yonsei Univ, Coll Med, Dept Neurol, Seoul, South Korea

[9] Yonsei Univ Hlth Syst, Yongin Severance Hosp, Dept Neurol, Yongin, South Korea

来源：

EUROPEAN JOURNAL OF NEUROLOGY | 2024年 / 31卷 / 12期

关键词：

Alzheimer's disease; amyloid; cognition; latent class growth analysis; longitudinal study; positron emission tomography; trajectory; PRECLINICAL ALZHEIMERS-DISEASE; APOLIPOPROTEIN-E; DECLINE; ASSOCIATION; DEPOSITION; EPSILON-4; FRAMEWORK; PATHOLOGY;

D O I：

10.1111/ene.16482

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

Background and purpose: Amyloid (3 (A(3), a major biomarker of Alzheimer's disease, leads to tau accumulation, neurodegeneration and cognitive decline. Modelling the trajectory of A(3 accumulation in cognitively unimpaired (CU) individuals is crucial, as treatments targeting A(3 are anticipated. The evolution of A(3 levels was investigated to determine whether it could lead to classification into different groups by studying longitudinal A(3 changes in older CU individuals, and differences between the groups were compared. Methods: A 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 18 F-florbetapir positron emission tomography scans. Distinct A(3 trajectory patterns were classified using latent class growth analysis, and longitudinal cognitive performances across these patterns were assessed with a linear mixed effects model. Results: The 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 n = 197); class 2, late accumulation group (n n = 70); and class 3, early accumulation group (n n = 30). The late accumulation and early accumulation groups had more APOE epsilon 4 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. Conclusions: Our study showed the heterogeneity of A[3 accumulation trajectories in CU older individuals. The prognoses for cognitive decline differ according to the A[3 trajectory patterns.

引用

页数：10