학술논문

A plasma protein signature associated with cognitive function in men without severe cognitive impairment
Document Type
article
Source
Alzheimer’s Research & Therapy, Vol 15, Iss 1, Pp 1-13 (2023)
Subject
Cognitive function
Alzheimer’s disease
Proteomic analysis
Genotyping
Risk factors
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Neurology. Diseases of the nervous system
RC346-429
Language
English
ISSN
1758-9193
Abstract
Abstract Background A minimally invasive blood-based assessment of cognitive function could be a promising screening strategy to identify high-risk groups for the incidence of Alzheimer’s disease. Methods The study included 448 cognitively unimpaired men (mean age 64.1 years) drawn from the Geelong Osteoporosis Study. A targeted mass spectrometry-based proteomic assay was performed to measure the abundance levels of 269 plasma proteins followed by linear regression analyses adjusted for age and APOE ε4 carrier status to identify the biomarkers related to overall cognitive function. Furthermore, two-way interactions were conducted to see whether Alzheimer’s disease-linked genetic variants or health conditions modify the association between biomarkers and cognitive function. Results Ten plasma proteins showed an association with overall cognitive function. This association was modified by allelic variants in genes ABCA7, CLU, BDNF and MS4A6A that have been previously linked to Alzheimer’s disease. Modifiable health conditions such as mood disorders and poor bone health, which are postulated to be risk factors for Alzheimer’s disease, also impacted the relationship observed between protein marker levels and cognition. In addition to the univariate analyses, an 11-feature multianalyte model was created using the least absolute shrinkage and selection operator regression that identified 10 protein features and age associated with cognitive function. Conclusions Overall, the present study revealed plasma protein candidates that may contribute to the development of a blood-based screening test for identifying early cognitive changes. This study also highlights the importance of considering other risk factors in elucidating the relationship between biomarkers and cognition, an area that remains largely unexplored.