Evidence map›Paper›PMID 40629914›Full record

ArticleClinical and translational medicine2025

MiRNA-501-3p and MiRNA-502-3p: A promising biomarker panel for Alzheimer's disease.

Davin Devara, Bhupender Sharma, Gunjan Goyal, Daniela Rodarte, Aditi Kulkarni, Nathan Tinu, Ayana Pai, Subodh Kumar

Abstract read
In one paragraph

Article in Clinical and translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Davin DevaraCenter of Emphasis in Neuroscience, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA.ORCID 0000-0003-4793-9907
Bhupender SharmaCenter of Emphasis in Neuroscience, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA.ORCID 0000-0001-9141-5815
Gunjan GoyalCenter of Emphasis in Neuroscience, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA.
Daniela RodarteCenter of Emphasis in Neuroscience, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA.
Aditi KulkarniCenter of Emphasis in Neuroscience, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA.
Nathan TinuCenter of Emphasis in Neuroscience, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA.
Ayana PaiCenter of Emphasis in Neuroscience, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA.
Subodh KumarCenter of Emphasis in Neuroscience, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA.ORCID 0000-0003-4705-122X

Funding

Synaptosomal MicroRNAs, Synaptic Damage and Cognitive Decline in Alzheimer's DiseaseR00AG065645 · NIA · TEXAS TECH UNIVERSITY HEALTH SCIENCES CENTER AT EL PASO · PI KUMAR, SUBODH · 2022 to 2024
$869k
Synaptosomal MicroRNAs, Synaptic Damage and Cognitive Decline in Alzheimer's DiseaseK99AG065645 · NIA · TEXAS TECH UNIVERSITY HEALTH SCIS CENTER · PI KUMAR, SUBODH · 2020 to 2021
$190k
National Institute on Aging, NIH K99AG065645National Institute on Aging, NIH R00AG065645National Institute on Aging, NIH R00AG065645-04S1NIA NIH HHS K99 AG065645NIA NIH HHS R00 AG065645The Edward N. & Margaret G. Marsh FoundationTTUHSC EP MTM Startup Funds
6 · The paper itself

Abstract

introductionAlzheimer's disease (AD) lacks a less invasive and early detectable biomarker. Here, we investigated the biomarker potential of miR-501-3p and miR-502-3p using different AD sources.

methodsMiR-501-3p and miR-502-3p expressions were evaluated in AD cerebrospinal fluid (CSF) exosomes, serum exosomes, familial and sporadic AD fibroblasts and B-lymphocytes by qRT-PCR analysis. Further, miR-501-3p and miR-502-3p expressions were analysed in APP, Tau plasmid transfected cells media exosomes and in different brain cell types.

resultsMiR-501-3p and miR-502-3p expressions were significantly up-regulated in AD CSF exosomes relative to controls. MiRNA levels were high in accordance with amyloid plaque and NFT density in multiple brain regions. Similarly, both miRNAs were elevated in AD and MCI serum exosomes compared with controls. MiR-502-3p expression was high in familial AD and sporadic AD B-lymphocytes. MiR-501-3p and miR-502-3p expression were elevated intracellularly and secreted extracellularly in response to APP and Tau pathology. Finally, neurons and astrocytes displayed high expression of these miRNAs. DISCUSSION: These results suggest that miR-501-3p and miR-502-3p could be promising biomarkers for AD. KEY POINTS: MiR-501-3p and miR-502-3p expression is elevated in AD CSF exosomes, AD serum exosomes, AD B-lymphocytes and Aβ- and Tau-treated cells. MiR-501-3p and miR-502-3p are correlated with amyloid plaque and NFT tangle density in specific brain regions. MiR-501-3p and miR-502-3p are highly expressed in neurons and astrocytes, suggesting that these cells are the source of miRNA secretion. MiR-501-3p and miR-502-3p could be a promising biomarker panel for AD.

Indexed as

Alzheimer DiseaseMicroRNAsAgedBiomarkersExosomesFemaleHumansMaleMiddle AgedBiomarkersMicroRNAsAlzheimer's diseasebiomarkerCSFMiR‐501‐3pMiR‐502‐3pserum

Identifiers

PMID40629914
PMCPMC12238675

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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.