Ontology highlight
ABSTRACT: Introduction
Blood metabolomics-based biomarkers may be useful to predict measures of neurocognitive aging.Methods
We tested the association between 707 blood metabolites measured in 1451 participants from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), with mild cognitive impairment (MCI) and global cognitive change assessed 7 years later. We further used Lasso penalized regression to construct a metabolomics risk score (MRS) that predicts MCI, potentially identifying a different set of metabolites than those discovered in individual-metabolite analysis.Results
We identified 20 metabolites predicting prevalent MCI and/or global cognitive change. Six of them were novel and 14 were previously reported as associated with neurocognitive aging outcomes. The MCI MRS comprised 61 metabolites and improved prediction accuracy from 84% (minimally adjusted model) to 89% in the entire dataset and from 75% to 87% among apolipoprotein E ε4 carriers.Discussion
Blood metabolites may serve as biomarkers identifying individuals at risk for MCI among US Hispanics/Latinos.
SUBMITTER: He S
PROVIDER: S-EPMC8865745 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
He Shan S Granot-Hershkovitz Einat E Zhang Ying Y Bressler Jan J Tarraf Wassim W Yu Bing B Huang Tianyi T Zeng Donglin D Wassertheil-Smoller Sylvia S Lamar Melissa M Daviglus Martha M Marquine Maria J MJ Cai Jianwen J Mosley Thomas T Kaplan Robert R Boerwinkle Eric E Fornage Myriam M DeCarli Charles C Kristal Bruce B Gonzalez Hector M HM Sofer Tamar T
Alzheimer's & dementia (Amsterdam, Netherlands) 20220223 1
<h4>Introduction</h4>Blood metabolomics-based biomarkers may be useful to predict measures of neurocognitive aging.<h4>Methods</h4>We tested the association between 707 blood metabolites measured in 1451 participants from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), with mild cognitive impairment (MCI) and global cognitive change assessed 7 years later. We further used Lasso penalized regression to construct a metabolomics risk score (MRS) that predicts MCI, potentially ident ...[more]