Evidence map›Paper›PMID 32578074›Full record

ArticleGeroScience2020

Composition of Caenorhabditis elegans extracellular vesicles suggests roles in metabolism, immunity, and aging.

Joshua C Russell, Taek-Kyun Kim, Ayush Noori, Gennifer E Merrihew, Julia E Robbins, Alexandra Golubeva, Kai Wang, Michael J MacCoss, Matt Kaeberlein

Open access · greenAbstract read
In one paragraph

Article in GeroScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% of its field
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Journal of biosciences · 2025
    Review
  7. Article
  8. Extracellular vesicles.Genetics · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. AdvancingPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  13. Article
  14. Article
  15. Review
  16. 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

9 authors at 3 institutions in 1 country.

Joshua C RussellDepartment of Pathology, University of Washington, Seattle, WA, USA. jcr32@uw.edu.
Taek-Kyun KimInstitute for Systems Biology, Seattle, WA, USA.
Ayush NooriPhillips Exeter Academy, Exeter, NH, USA.
Gennifer E MerrihewDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Julia E RobbinsDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Alexandra GolubevaDepartment of Pathology, University of Washington, Seattle, WA, USA.
Kai WangInstitute for Systems Biology, Seattle, WA, USA.
Michael J MacCossDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Matt KaeberleinDepartment of Pathology, University of Washington, Seattle, WA, USA. kaeber@uw.edu.ORCID 0000-0002-1311-3421
University of Washington · USInstitute for Systems Biology · USPhillips Exeter Academy · US

Funding

THERAPEUTIC EFFECTS OF INTRA-NASAL INSULIN DETEMIRP50AG005136 · NIA · UNIVERSITY OF WASHINGTON · PI GRABOWSKI, THOMAS J. · 1985 to 2019
$57.2M
SPECIFICITY OF OXYGEN DNA DAMAGE AND MUTAGENESISP01AG001751 · NIA · UNIVERSITY OF WASHINGTON · PI RABINOVITCH, PETER S · 1985 to 2021
$29.6M
University of Washington Nathan Shock Center of Excellence in the Basic Biology of AgingP30AG013280 · NIA · UNIVERSITY OF WASHINGTON · PI Michael MacCoss · 1995 to 2026
$27.1M
Role of extracellular vesicle signaling in aging and Alzheimer's diseaseF32AG054098 · NIA · UNIVERSITY OF WASHINGTON · PI RUSSELL, JOSHUA · 2016 to 2018
$179k
NIA NIH HHS F32 AG054098NIA NIH HHS F32AG054098NIA NIH HHS P01 AG001751NIA NIH HHS P30 AG013280NIA NIH HHS P30AG013280NIA NIH HHS P50 AG005136NIA NIH HHS P50AG005136
6 · The paper itself

Abstract

The nematode Caenorhabditis elegans has been instrumental in the identification of evolutionarily conserved mechanisms of aging. C. elegans also has recently been found to have evolutionarily conserved extracellular vesicle (EV) signaling pathways. We have been developing tools that allow for the detailed study of EV biology in C. elegans. Here we apply our recently published method for high specificity purification of EVs from C. elegans to carry out target-independent proteomic and RNA analysis of nematode EVs. We identify diverse coding and non-coding RNA and protein cargo types commonly found in human EVs. The EV cargo spectrum is distinct from whole worms, suggesting that protein and RNA cargos are actively recruited to EVs. Gene ontology analysis revealed C. elegans EVs are enriched for extracellular-associated and signaling proteins, and network analysis indicates enrichment for metabolic, immune, and basement membrane associated proteins. Tissue enrichment and gene expression analysis suggests the secreted EV proteins are likely to be derived from intestine, muscle, and excretory tissue. An unbiased comparison of the EV proteins with a large database of C. elegans genome-wide microarray data showed significant overlap with gene sets that are associated with aging and immunity. Taken together our data suggest C. elegans could be a promising in vivo model for studying the genetics and physiology of EVs in a variety of contexts including aging, metabolism, and immune response.

Indexed as

Caenorhabditis elegansExtracellular VesiclesAnimalsHumansProteomicsSignal TransductionAgingBasement membrane glycoproteinsGene enrichment analysisImmune responseLC-MS-MS analysisMembrane raft proteinsMetabolismSmall RNAseq

Identifiers

PMID32578074
PMCPMC7394990
OpenAlexW3036145063

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.