Evidence map›Paper›PMID 41315767›Full record

ArticleNature cell biology2025

Multi-omics identify hallmark protein and lipid features of small extracellular vesicles circulating in human plasma.

Alin Rai, Kevin Huynh, Jonathon Cross, Qi Hui Poh, Haoyun Fang, Bethany Claridge, Thy Duong, Carla Duarte, Jonathan E Shaw, Thomas H Marwick and 2 more

Abstract read
In one paragraph

Article in Nature cell biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. A targeted lipidomics workflow for high-throughput phenotyping and mechanism-based in vitro hepatotoxicity studies.Toxicology in vitro : an international journal published in association with BIBRA · 2026
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  13. Article
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  17. Nuclear Proteome Map of Mouse Heart Chambers.Molecular & cellular proteomics : MCP · 2026
    Article
  18. Review
  19. Article
  20. 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

12 authors.

Alin RaiBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia. alin.rai@baker.edu.au.ORCID http://orcid.org/0000-0001-7994-5151
Kevin HuynhBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Jonathon CrossBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.ORCID http://orcid.org/0009-0006-3057-8964
Qi Hui PohBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Haoyun FangBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Bethany ClaridgeBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Thy DuongBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0002-2521-078X
Carla DuarteBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Jonathan E ShawBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Thomas H MarwickBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Peter MeikleBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0002-2593-4665
David W GreeningBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia. david.greening@baker.edu.au.ORCID http://orcid.org/0000-0001-7516-485X

Funding

Department of Health | National Health and Medical Research Council (NHMRC) APP1141946Department of Health | National Health and Medical Research Council (NHMRC) GNT1197190Department of Health | National Health and Medical Research Council (NHMRC) MRF2015523National Heart Foundation of Australia (Heart Foundation) 105072
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are an essential signalling entity in human plasma implicated in health and disease. Still, their core protein and lipid componentry, which lie at the centre of EV form and function, remain poorly defined. Here we performed high-resolution density gradient fractionation of over 140 human plasma samples to isolate circulating EVs, and systematically constructed their quantitative proteome (4,500 proteins) and lipidome (829 lipids) landscapes using mass spectrometry. We identified a highly conserved panel of 182 proteins (including ADAM10, STEAP23 and STX7) and 52 lipids (including PS, PIPs, Hex2Cer and PAs), providing a deep survey of hallmark molecular features and biological pathways characteristic to circulating EVs. We also mapped the surfaceome diversity, identifying 151 proteins on the EV surface. We further established a set of 42 proteins and 114 lipids features that served as hallmark features of non-EV particles in plasma. We submit ADAM10 and PS(36:1) as conserved EV biological markers that precisely differentiate between EV and non-EV particles. Our findings, which can be explored via an open-source Shiny web tool ( evmap.shinyapps.io/evmap/ ), will serve as a valuable repository to the research community for a clearer understanding of circulating EV biology.

Indexed as

Blood ProteinsExtracellular VesiclesLipidsProteomeProteomicsADAM10 ProteinAmyloid Precursor Protein SecretasesBiomarkersHumansLipidomicsMembrane ProteinsMultiomicsADAM10 ProteinADAM10 protein, humanAmyloid Precursor Protein SecretasesBiomarkersBlood ProteinsLipidsMembrane ProteinsProteome

Identifiers

PMID41315767
PMCPMC12717007

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.