Evidence map›Paper›PMID 41353692›Full record

SynthesisBiogerontology2025

Meta-analysis of extracellular vesicles-associated protein abundance and aggregation during aging and disease in C. elegans.

Prasun Kumar Bhunia, Prasad Kasturi

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Biogerontology, 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

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

1 citing paper in PubMed.

  1. 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

2 authors.

Prasun Kumar BhuniaSchool of Biosciences and Bioengineering, Indian Institute of Technology Mandi, Kamand, Himachal Pradesh, 175005, India.ORCID 0000-0003-4201-143X
Prasad KasturiSchool of Biosciences and Bioengineering, Indian Institute of Technology Mandi, Kamand, Himachal Pradesh, 175005, India. prasadkasturi@iitmandi.ac.in.ORCID 0000-0002-3611-5489

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/RLF/Re-entry/31/2018
6 · The paper itself

Abstract

Extracellular vesicles (EVs) contribute to the maintenance of organism-wide proteostasis by mediating intercellular communication. Loss of proteostasis and altered intercellular communication are associated with aging and age-related diseases, suggesting key roles for EVs. However, it is unclear how the proteome of the EVs changes with age. To identify EV-associated proteins (EVAPs) and their fate with age, we curated publicly available EV proteome data from C. elegans model organism and human. Our analysis reveals that EVs carry proteins with diverse functions, including those involved in protein quality control. We found that abundance of the EVAPs changes significantly with age, heat stress, pathogen infections and diseases. Many of these EVAPs also aggregate with age and overlap with Aβ-driven protein aggregates. Further, we identified human orthologs of C. elegans EVAPs from human brain tissues affected with Alzheimer's disease and breast cancer. This meta-analysis highlights EVs proteome composition, their abundance changes, and aggregation during aging, stress, infection and disease conditions. Overall, this study provides new insights into the dynamics of EV proteins during aging and may possibly help in identifying potential biomarkers for age-related diseases.

Indexed as

AgingCaenorhabditis elegansCaenorhabditis elegans ProteinsExtracellular VesiclesAnimalsHumansProtein AggregatesProteomeProteostasisCaenorhabditis elegans ProteinsProtein AggregatesProteomeAgingC. elegansExtracellular vesiclesProteostasis

Identifiers

PMID41353692

What OpenQuestion holds

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Registered trials

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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.