Evidence map›Paper›PMID 28594924›Full record

ArticlePloS one2017

Multiple extracellular vesicle types in peritoneal dialysis effluent are prominent and contain known biomarkers.

Lachlan James Pearson, I-Yanut Klaharn, Bussakorn Thongsawang, Wasin Manuprasert, Thunvarat Saejew, Poorichaya Somparn, Piyatida Chuengsaman, Talerngsak Kanjanabuch, Trairak Pisitkun

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.2field-weighted citation impact, top 21% 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, 28 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Proteomic Research in Peritoneal Dialysis.International journal of molecular sciences · 2020
    Review
  17. Article
  18. Article
  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

9 authors at 2 institutions in 1 country.

Lachlan James PearsonSystems Biology Center, Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID http://orcid.org/0000-0002-0464-1193
I-Yanut KlaharnSystems Biology Center, Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Bussakorn ThongsawangKidney and Metabolic Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Wasin ManuprasertKidney and Metabolic Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Thunvarat SaejewPeritoneal Dialysis Excellence Centre, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Poorichaya SomparnSystems Biology Center, Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Piyatida ChuengsamanBamphaeo Hospital (Prommitr Branch), Bangkok, Thailand.
Talerngsak KanjanabuchKidney and Metabolic Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Trairak PisitkunSystems Biology Center, Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Chulalongkorn University · THKing Chulalongkorn Memorial Hospital · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peritoneal dialysis inevitability results in activation of inflammatory processes and its efficiency is highly variable between patients. An improved method to isolate biomarkers and study pathophysiological mechanisms in peritoneal dialysis effluent (PDE) is expected to be of much benefit for the development of this treatment approach and help with patient management. Extracellular vesicles (EVs) are released as part of normal cellular processes. Their proteome is expected to reflect both type and health of their cell of origin. Although there is a significant interest in using EVs for "liquid biopsies", little is reported of their presence or composition in plentiful dialysis waste fluids, including peritoneal dialysis effluent (PDE). Here we determined the presence of EVs in PDE and subsequently characterized their proteome. EVs were first isolated from PDE using differential centrifugation, then a further enrichment using size exclusion chromatography (SEC) was performed. The presence of EVs was demonstrated using transmission electron microscopy, and their particle counts were investigated using nanoparticle tracking analysis and dynamic light scattering. Using tandem mass spectrometry, marker proteins from three types of EVs i.e. apoptotic bodies, ectosomes, and exosomes were identified. The proteomic results demonstrated that the isolation of EVs by differential centrifugation helped enrich for over 2,000 proteins normally masked by abundant proteins in PDE such as albumin and SEC markedly further improved the isolation of low abundant proteins. Gene ontology analysis of all identified proteins showed the marked enrichment of exosome and membrane-associated proteins. Over 3,700 proteins were identified in total, including many proteins with known roles in peritoneal pathophysiology. This study demonstrated the prominence of EVs in PDE and their potential value as a source of biomarkers for peritoneal dialysis patients.

Indexed as

Peritoneal DialysisAdultAgedBiomarkersBlotting, WesternCell-Derived MicroparticlesChromatography, GelComputational BiologyDynamic Light ScatteringElectrophoresis, Polyacrylamide GelExosomesExtracellular VesiclesFemaleHumansMaleMicroscopy, Electron, TransmissionBiomarkers

Identifiers

PMID28594924
PMCPMC5464591
OpenAlexW2624377772

What OpenQuestion 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 OpenQuestion graph.