Evidence map›Paper›PMID 32846274›Full record

ArticleNeurobiology of aging2020

MicroRNA predicts cognitive performance in healthy older adults.

Joseph M Gullett, Zhaoyi Chen, Andrew O'Shea, Maisha Akbar, Jiang Bian, Asha Rani, Eric C Porges, Thomas C Foster, Adam J Woods, Francois Modave and 1 more

Open access · greenAbstract read
In one paragraph

Article in Neurobiology of aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Role of MicroRNA-502-3p in Human Diseases.Pharmaceuticals (Basel, Switzerland) · 2023
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. miR-140-5p and miR-140-3p: Key Actors in Aging-Related Diseases?International journal of molecular sciences · 2022
    Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
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  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Joseph M GullettCenter for Cognitive Aging and Memory, Department of Clinical & Health Psychology, University of Florida, Gainesville, FL, USA. Electronic address: gullettj@phhp.ufl.edu.
Zhaoyi ChenDepartment of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Andrew O'SheaCenter for Cognitive Aging and Memory, Department of Clinical & Health Psychology, University of Florida, Gainesville, FL, USA.
Maisha AkbarCenter for Cognitive Aging and Memory, Department of Clinical & Health Psychology, University of Florida, Gainesville, FL, USA.
Jiang BianDepartment of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Asha RaniDepartment of Neuroscience, University of Florida, Gainesville, FL, USA.
Eric C PorgesCenter for Cognitive Aging and Memory, Department of Clinical & Health Psychology, University of Florida, Gainesville, FL, USA.
Thomas C FosterDepartment of Neuroscience, University of Florida, Gainesville, FL, USA.
Adam J WoodsCenter 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 ModaveDepartment of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Ronald A CohenCenter for Cognitive Aging and Memory, Department of Clinical & Health Psychology, University of Florida, Gainesville, FL, USA.
University of Florida · USCognitive Research (United States) · USUniversity of Florida Health · US

Funding

Social Determinants of Health, Race/Ethnicity, and White Matter HyperintensitiesP30AG066506 · NIA · UNIVERSITY OF FLORIDA · PI Rosie E Curiel Cid · 2020 to 2026
$25.6M
University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI Karyn A Esser, Todd Manini · 2007 to 2026
$22.8M
University of Florida - Mt. Sinai Medical Center AD Research CenterP50AG047266 · NIA · UNIVERSITY OF FLORIDA · PI LOEWENSTEIN, DAVID · 2015 to 2019
$7.3M
Pharmacotherapy for alcohol consumptionin HIV-infected women: randomized trialU01AA020797 · NIAAA · UNIVERSITY OF FLORIDA · PI COHEN, RONALD A, COOK, ROBERT L · 2011 to 2021
$7.2M
Augmenting Cognitive Training in Older Adults - The ACT GrantR01AG054077 · NIA · UNIVERSITY OF FLORIDA · PI COHEN, RONALD A, MARSISKE, MICHAEL · 2016 to 2020
$6.9M
Estrogen and cognition over the lifespanR01AG037984 · NIA · UNIVERSITY OF FLORIDA · PI FOSTER, THOMAS C, KUMAR, ASHOK · 2011 to 2022
$3.3M
Signaling cascades and memory deficits during agingR37AG036800 · NIA · UNIVERSITY OF FLORIDA · PI FOSTER, THOMAS C · 2010 to 2018
$2.6M
Use of viral-vectors for studying effects of chronic inflammation on executive functionR01AG052258 · NIA · UNIVERSITY OF FLORIDA · PI FOSTER, THOMAS C · 2016 to 2020
$1.9M
Systemic inflammation in regulating the onset and progression of brain agingR01AG049711 · NIA · UNIVERSITY OF FLORIDA · PI FOSTER, THOMAS C · 2015 to 2019
$1.5M
Cognitive and functional deficits associated with reduced cortical GABA in HIV-infected heavy drinkersK01AA025306 · NIAAA · UNIVERSITY OF FLORIDA · PI PORGES, ERIC · 2017 to 2021
$801k
Neuromodulation of Cognition in Older AdultsK01AG050707 · NIA · UNIVERSITY OF FLORIDA · PI WOODS, ADAM J. · 2016 to 2020
$613k
Estrogen and cognition over the lifespanR56AG037984 · NIA · UNIVERSITY OF FLORIDA · PI FOSTER, THOMAS C · 2010 to 2010
$271k
NIAAA NIH HHS K01 AA025306NIAAA NIH HHS U01 AA020797NIA NIH HHS K01 AG050707NIA NIH HHS P30 AG028740NIA NIH HHS P30 AG066506NIA NIH HHS P50 AG047266NIA NIH HHS R01 AG037984NIA NIH HHS R01 AG049711NIA NIH HHS R01 AG052258NIA NIH HHS R01 AG054077NIA NIH HHS R37 AG036800NIA NIH HHS R56 AG037984
6 · The paper itself

Abstract

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.

Indexed as

CognitionAgedAged, 80 and overBiomarkersCognitive AgingFemaleHumansMachine LearningMaleMicroRNAsMiddle AgedNeurodegenerative DiseasesPredictive Value of TestsBiomarkersMicroRNAsCognitive agingMachine learningmiRNANeurocognitive function

Identifiers

PMID32846274
PMCPMC7606424
OpenAlexW3047047105

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.