Evidence map›Paper›PMID 40248949›Full record

ArticleAnnals of medicine2025

Correlation of extracellular vesicle Alu RNA with brain aging and neuronal injury: a potential biomarker for brain aging.

Shuyi Yu, Jing Fan, Shuai Zong, Qian Yu, Qian Cheng, Yunshan Wang, Ming Li, Zhiming Lu

Abstract read
In one paragraph

Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Review
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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

8 authors.

Shuyi YuShandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
Jing FanShandong Provincial Hospital, Shandong University, Jinan, Shandong, China.ORCID 0009-0001-3238-2125
Shuai ZongDepartment of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Qian YuDepartment of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Qian ChengDepartment of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Yunshan WangDepartment of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Ming LiDepartment of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Zhiming LuShandong Provincial Hospital, Shandong University, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExtracellular vesicles (EVs) are promising biomarkers for neurodegeneration. Alu elements are retrotransposons increasingly expressed with age and may be involved in aging-related diseases.

objectiveTo determine the potential of Alu RNA in plasma-derived EVs as a biomarker for brain aging and neuronal injury.

methodsEVs were isolated from plasma samples across different age groups. EV Alu RNA levels were measured and their associations with biomarkers of brain aging, including plasma neurofilament light chain (NfL), plasma amyloid-beta (Aβ42 and Aβ40), and plasma phosphorylated tau (p-Tau181), were analyzed.

resultsEV Alu RNA levels were increased significantly with age and were strongly correlated with plasma NfL, suggesting a strong association between EV Alu RNA and neuronal injury. Significant correlations were also found between EV Alu RNA and plasma amyloid-beta levels, while no significant association was observed with tau pathology.

conclusionsEV Alu RNA levels are elevated with age and associated with neuronal injury, highlighting their potential as a novel, non-invasive biomarker for brain aging and neurodegeneration.

Indexed as

AgingAlu ElementsBrainExtracellular VesiclesRNAAdultAgedAged, 80 and overAmyloid beta-PeptidesBiomarkersFemaleHumansMaleMiddle AgedNeurofilament ProteinsNeuronsAmyloid beta-PeptidesBiomarkersneurofilament protein LNeurofilament ProteinsRNAtau Proteinsalu RNAbiomarkerbrain agingExtracellular vesicleneurodegeneration

Identifiers

PMID40248949
PMCPMC12010651

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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.