Evidence map›Paper›PMID 40739583›Full record

ArticleAlzheimer's research & therapy2025

The intersection between circulatory microRNAs and biomarkers of neurodegeneration.

Amber Yaqub, Rima Mustafa, M Arfan Ikram, Mohsen Ghanbari

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Amber YaqubDepartment of Epidemiology, Erasmus University Medical Center, Dr. Molewaterplein 40, Rotterdam, 3015 GD, the Netherlands.
Rima MustafaNuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK.
M Arfan IkramDepartment of Epidemiology, Erasmus University Medical Center, Dr. Molewaterplein 40, Rotterdam, 3015 GD, the Netherlands.
Mohsen GhanbariDepartment of Epidemiology, Erasmus University Medical Center, Dr. Molewaterplein 40, Rotterdam, 3015 GD, the Netherlands. m.ghanbari@erasmusmc.nl.ORCID 0000-0002-9476-7143

Funding

Alzheimer Nederland WE.03-2021-10
6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) are small non-coding RNAs with a vast array of biological functions, including the regulation of gene expression. It remains to be determined whether circulatory miRNAs are associated with markers of neurodegeneration in plasma (neurofilament light chain (NfL), total tau (t-tau) and amyloid beta (Aβ)), before the clinical onset of dementia.

methodsWe included 1959 dementia-free participants of the population-based Rotterdam Study (mean age 70.5 years, 56.8% women), who visited the research center for blood sampling between 2002 and 2005. Plasma levels of 591 well-expressed circulatory miRNAs were measured by the HTG EdgeSeq Whole Transcriptome Assay, while t-tau, NfL, Aβ-40 and Aβ-42 were analysed using the Simoa NF-light

resultsWe found 58 miRNAs significantly associated with t-tau, 96 miRNAs with NfL, 158 miRNAs with Aβ-40, and 83 miRNAs with Aβ-42 (all with false discovery rate (FDR)-adjusted p-value ≤ 0.05). Notably, twelve miRNAs (miR-3141, miR-7107-5p, miR-146a-5p, miR-6887-5p, miR-221-3p, miR-4681, miR-6810-3p, miR-6821-5p, miR-654-5p, miR-4486, miR-4478, miR-326) were shared among all four neurodegeneration biomarkers. Subsequent in-silico analysis showed that many of these miRNAs are expressed across various brain regions, where they have important putative target genes (e.g., SORT1, TSPAN14, ADAM17, KLF16, WDR12). A pathway analysis highlighted the Notch signalling cascade, with possible implications for the amyloid precursor protein (APP).

conclusionsThis population-based study revealed many circulatory miRNAs associated with biomarkers of neurodegeneration, including 12 miRNAs that were common to all, potentially offering valuable insights into regulatory pathways underlying dementia. These miRNAs could be valuable for monitoring dementia and developing effective diagnostic or therapeutic strategies.

Indexed as

Circulating MicroRNAMicroRNAsNeurodegenerative DiseasesAgedAged, 80 and overAmyloid beta-PeptidesBiomarkersFemaleHumansMaleMiddle AgedNeurofilament ProteinsPeptide Fragmentstau ProteinsAmyloid beta-PeptidesBiomarkersCirculating MicroRNAMicroRNAsneurofilament protein LNeurofilament ProteinsPeptide Fragmentstau ProteinsAmyloid betamicroRNANeurodegenerationNeurofilament light chainTau

Identifiers

PMID40739583
PMCPMC12309191

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