2021-05-27T08:54:44Z
2021-05-27T08:54:44Z
2020-04-15
2021-05-27T08:54:44Z
Brain changes occurring in aging can be indexed by biomarkers. We used cluster analysis to identify subgroups of cognitively unimpaired individuals (n ¼ 99, 64e93 years) with different profiles of the cerebrospinal fluid biomarkers beta amyloid 1e42 (Ab42), phosphorylated tau (P-tau), total tau, chitinase-3-like protein 1 (YKL-40), fatty acid binding protein 3 (FABP3), and neurofilament light (NFL). Hippocampal volume and memory were assessed across multiple follow-up examinations covering up to 6.8 years. Clustering revealed one group (39%) with more pathological concentrations of all biomarkers, which could further be divided into one group (20%) characterized by tauopathy and high FABP3 and one (19%) by brain b-amyloidosis, high NFL, and slightly higher YKL-40. The clustering approach clearly outperformed classification based on Ab42 and P-tau alone in prediction of memory decline, with the individuals with most tauopathy and FABP3 showing more memory decline, but not more hippocampal volume change. The results demonstrate that older adults can be classified based on biomarkers beyond amyloid and tau, with improved prediction of memory decline.
Article
Published version
English
Líquid cefalorraquidi; Memòria; Marcadors bioquímics; Cerebrospinal fluid; Memory; Biochemical markers
Elsevier B.V.
Reproducció del document publicat a: https://doi.org/10.1016/j.neurobiolaging.2020.04.002
Neurobiology of Aging, 2020, vol. 93, pp. 1-15
https://doi.org/10.1016/j.neurobiolaging.2020.04.002
cc-by (c) Idland et al., 2020
http://creativecommons.org/licenses/by/3.0/es/
Biomedicina [779]