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Blood metabolites predicting mild cognitive impairment in the study of Latinos‐investigation of neurocognitive aging (HCHS/SOL)

by Tarraf, Wassim , Kristal, Bruce , Huang, Tianyi , Sofer, Tamar , Zeng, Donglin , DeCarli, Charles , Cai, Jianwen , Mosley, Thomas , Yu, Bing , Bressler, Jan , Lamar, Melissa , Wassertheil‐Smoller, Sylvia , Granot‐Hershkovitz, Einat , Boerwinkle, Eric , Kaplan, Robert , Fornage, Myriam , Marquine, Maria J. , Gonzalez, Hector M. , Zhang, Ying , He, Shan , Daviglus, Martha

in Aging / Alzheimer's disease / Atherosclerosis / Biomarkers / Cognitive ability / Dementia / Diabetes / Diagnostic Assessment & Prognosis / global cognitive change / Health risk assessment / Hispanic Americans / Hispanics/Latinos / Memory / Metabolism / metabolite biomarkers / Metabolites / metabolomic risk score / Middle age / mild cognitive impairment / Risk factors / risk prediction

2022

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Blood metabolites predicting mild cognitive impairment in the study of Latinos‐investigation of neurocognitive aging (HCHS/SOL)

2022

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Blood metabolites predicting mild cognitive impairment in the study of Latinos‐investigation of neurocognitive aging (HCHS/SOL)

2022

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Journal Article

Blood metabolites predicting mild cognitive impairment in the study of Latinos‐investigation of neurocognitive aging (HCHS/SOL)

Tarraf, Wassim,

Kristal, Bruce,

Huang, Tianyi,

Sofer, Tamar,

Zeng, Donglin,

DeCarli, Charles,

Cai, Jianwen,

Mosley, Thomas,

Yu, Bing,

Bressler, Jan,

Lamar, Melissa,

Wassertheil‐Smoller, Sylvia,

Granot‐Hershkovitz, Einat,

Boerwinkle, Eric,

Kaplan, Robert,

Fornage, Myriam,

Marquine, Maria J.,

Gonzalez, Hector M.,

Zhang, Ying,

He, Shan,

Daviglus, Martha

2022

Overview

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.

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Publisher

John Wiley & Sons, Inc,John Wiley and Sons Inc

Subject

Aging

/ Alzheimer's disease