MicroRNA predicts cognitive performance in healthy older adults.


Journal

Neurobiology of aging
ISSN: 1558-1497
Titre abrégé: Neurobiol Aging
Pays: United States
ID NLM: 8100437

Informations de publication

Date de publication:
11 2020
Historique:
received: 21 01 2020
revised: 01 07 2020
accepted: 25 07 2020
pubmed: 28 8 2020
medline: 10 7 2021
entrez: 27 8 2020
Statut: ppublish

Résumé

The expression of microRNA (miRNA) is influenced by ongoing biological processes, including aging, and has begun to play a role in the measurement of neurodegenerative processes in central nervous system. The purpose of this study is to utilize machine learning approaches to determine whether miRNA can be utilized as a blood-based biomarker of cognitive aging. A random forest regression combining miRNA with biological (brain volume), clinical (comorbid conditions), and demographic variables in 115 typically aging older adults explained the greatest level of variance in cognitive performance compared to the other machine learning models explored. Three miRNA (miR-140-5p, miR-197-3p, and miR-501-3p) were top-ranked predictors of multiple cognitive outcomes (Fluid, Crystallized, and Overall Cognition) and past studies of these miRNA link them to cellular senescence, inflammatory signals for atherosclerotic formation, and potential development of neurodegenerative disorders (e.g., Alzheimer's disease). Several novel miRNAs were also linked to age and multiple cognitive functions, findings which together warrant further exploration linking these miRNAs to brain-derived metrics of neurodegeneration in typically aging older adults.

Identifiants

pubmed: 32846274
pii: S0197-4580(20)30240-2
doi: 10.1016/j.neurobiolaging.2020.07.023
pmc: PMC7606424
mid: NIHMS1623716
pii:
doi:

Substances chimiques

Biomarkers 0
MicroRNAs 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

186-194

Subventions

Organisme : NIAAA NIH HHS
ID : K01 AA025306
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG052258
Pays : United States
Organisme : NIA NIH HHS
ID : R37 AG036800
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG049711
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG037984
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG054077
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG066506
Pays : United States
Organisme : NIA NIH HHS
ID : K01 AG050707
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG047266
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG028740
Pays : United States

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

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Auteurs

Joseph M Gullett (JM)

Center for Cognitive Aging and Memory, Department of Clinical & Health Psychology, University of Florida, Gainesville, FL, USA. Electronic address: gullettj@phhp.ufl.edu.

Zhaoyi Chen (Z)

Department of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, FL, USA.

Andrew O'Shea (A)

Center for Cognitive Aging and Memory, Department of Clinical & Health Psychology, University of Florida, Gainesville, FL, USA.

Maisha Akbar (M)

Center for Cognitive Aging and Memory, Department of Clinical & Health Psychology, University of Florida, Gainesville, FL, USA.

Jiang Bian (J)

Department of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, FL, USA.

Asha Rani (A)

Department of Neuroscience, University of Florida, Gainesville, FL, USA.

Eric C Porges (EC)

Center for Cognitive Aging and Memory, Department of Clinical & Health Psychology, University of Florida, Gainesville, FL, USA.

Thomas C Foster (TC)

Department of Neuroscience, University of Florida, Gainesville, FL, USA.

Adam J Woods (AJ)

Center for Cognitive Aging and Memory, Department of Clinical & Health Psychology, University of Florida, Gainesville, FL, USA; Department of Neuroscience, University of Florida, Gainesville, FL, USA.

Francois Modave (F)

Department of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, FL, USA.

Ronald A Cohen (RA)

Center for Cognitive Aging and Memory, Department of Clinical & Health Psychology, University of Florida, Gainesville, FL, USA.

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Classifications MeSH