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Difference in trajectories according to early amyloid accumulation in cognitively unimpaired elderly.
Kim, Young Ju; Yun, Jihwan; Seo, Sang Won; Kim, Jun Pyo; Jang, Hyemin; Kim, Hee Jin; Na, Duk L; Woo, Sookyoung; Chun, Min Young.
Affiliation
  • Kim YJ; Department of Neurology, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea.
  • Yun J; Neuroscience Centre, Samsung Medical Centre, Seoul, South Korea.
  • Seo SW; Department of Neurology, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea.
  • Kim JP; Department of Neurology, Soonchunhyang University Bucheon Hospital, Soonchunhyang University School of Medicine, Bucheon, South Korea.
  • Jang H; Department of Neurology, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea.
  • Kim HJ; Neuroscience Centre, Samsung Medical Centre, Seoul, South Korea.
  • Na DL; Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea.
  • Woo S; Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea.
  • Chun MY; Department of Neurology, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Eur J Neurol ; : e16482, 2024 Sep 14.
Article in En | MEDLINE | ID: mdl-39275969
ABSTRACT
BACKGROUND AND

PURPOSE:

Amyloid ß (Aß), a major biomarker of Alzheimer's disease, leads to tau accumulation, neurodegeneration and cognitive decline. Modelling the trajectory of Aß accumulation in cognitively unimpaired (CU) individuals is crucial, as treatments targeting Aß are anticipated. The evolution of Aß levels was investigated to determine whether it could lead to classification into different groups by studying longitudinal Aß 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 18F-florbetapir positron emission tomography scans. Distinct Aß 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 = 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.

CONCLUSIONS:

Our study showed the heterogeneity of Aß accumulation trajectories in CU older individuals. The prognoses for cognitive decline differ according to the Aß trajectory patterns.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Eur J Neurol Journal subject: NEUROLOGIA Year: 2024 Document type: Article Affiliation country: South Korea Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Eur J Neurol Journal subject: NEUROLOGIA Year: 2024 Document type: Article Affiliation country: South Korea Country of publication: United kingdom