| Literature DB >> 35445358 |
Wan-Hsuan Lu1,2, Kelly Virecoulon Giudici1, John E Morley3, Sophie Guyonnet1,2, Angelo Parini4, Geetika Aggarwal3,5, Andrew D Nguyen3,5, Yan Li6,7, Randall J Bateman6, Bruno Vellas1,2, Philipe de Souto Barreto1,2.
Abstract
We investigated combining a core AD neuropathology measure (plasma amyloid-beta [Aβ] 42/40) with five plasma markers of inflammation, cellular stress, and neurodegeneration to predict cognitive decline. Among 401 participants free of dementia (median [IQR] age, 76 [73-80] years) from the Multidomain Alzheimer Preventive Trial (MAPT), 28 (7.0%) participants developed dementia, and 137 (34.2%) had worsening of clinical dementia rating (CDR) scale over 4 years. In the models utilizing plasma Aβ alone, a tenfold increased risk of incident dementia (nonsignificant) and a fivefold increased risk of worsening CDR were observed as each nature log unit increased in plasma Aβ levels. Models incorporating Aβ plus multiple plasma biomarkers performed similarly to models included Aβ alone in predicting dementia and CDR progression. However, improving Aβ model performance for composite cognitive score (CCS) decline, a proxy of dementia, was observed after including plasma monocyte chemoattractant protein 1 (MCP1) and growth differentiation factor 15 (GDF15) as covariates. Participants with abnormal Aβ, GDF15, and MCP1 presented higher CCS decline (worsening cognitive function) compared to their normal-biomarker counterparts (adjusted β [95% CI], - 0.21 [- 0.35 to - 0.06], p = 0.005). In conclusion, our study found limited added values of multi-biomarkers beyond the basic Aβ models for predicting clinically meaningful cognitive decline among non-demented older adults. However, a combined assessment of inflammatory and cellular stress status with Aβ pathology through measuring plasma biomarkers may improve the evaluation of cognitive performance.Entities:
Keywords: Aging; Alzheimer’s disease; Amyloid-beta; Cognitive decline; Inflammation; Neurodegeneration
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Year: 2022 PMID: 35445358 PMCID: PMC9213609 DOI: 10.1007/s11357-022-00554-y
Source DB: PubMed Journal: Geroscience ISSN: 2509-2723 Impact factor: 7.581