期刊
出版社
WILEY
DOI: 10.1002/dad2.12259
关键词
global cognitive change; Hispanics; Latinos; metabolite biomarkers; metabolomic risk score; mild cognitive impairment; risk prediction
资金
- National Heart, Lung, and Blood Institute (NHLBI) [HHSN268201300001I/N01-HC-65233, HHSN268201300004I/N01-HC-65234, HHSN268201300002I/N01-HC-65235, HHSN268201300003I/N01-HC-65236, HHSN268201300005I/N01-HC-65237]
- NHLBI: National Institute on Minority Health and Health Disparities
- National Institute on Deafness and Other Communication Disorders
- National Institute of Dental and Craniofacial Research
- National Institute of Diabetes and Digestive and Kidney Diseases
- National Institute of Neurological Disorders and Stroke
- NIH Institution-Office of Dietary Supplements
- National Institute on Aging [R01AG048642, RF1AG054548, RF1AG061022, R21AG056952]
- National Heart, Lung, and Blood Institute, National Institutes of Health, Department of Health and Human Services [HHSN268201700001I, HHSN268201700002I, HHSN268201700003I, HHSN268201700004I, HHSN268201700005I]
- National Human Genome Research Institute [3U01HG004402-02S1]
- [P30AG062429]
- [P30AG059299]
This study identified blood metabolites associated with neurocognitive aging and constructed a metabolomics risk score to predict mild cognitive impairment (MCI). The results suggest that these metabolites can serve as biomarkers to identify individuals at risk for MCI among US Hispanics/Latinos.
IntroductionBlood metabolomics-based biomarkers may be useful to predict measures of neurocognitive aging. MethodsWe 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. ResultsWe 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 epsilon 4 carriers. DiscussionBlood metabolites may serve as biomarkers identifying individuals at risk for MCI among US Hispanics/Latinos.
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