Evidence map›Paper›PMID 28982716›Full record

ArticleMolecular & cellular proteomics : MCP2017

Multiplexed Temporal Quantification of the Exercise-regulated Plasma Peptidome.

Benjamin L Parker, James G Burchfield, Daniel Clayton, Thomas A Geddes, Richard J Payne, Bente Kiens, Jørgen F P Wojtaszewski, Erik A Richter, David E James

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 67 citations in OpenAlex.

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  15. Article
  16. Peptidomic Approaches and Observations in Neurodegenerative Diseases.International journal of molecular sciences · 2022
    Review
  17. Peptidome: Chaos or Inevitability.International journal of molecular sciences · 2021
    Review
  18. Article
  19. Article
  20. 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

9 authors at 2 institutions in 2 countries.

Benjamin L ParkerFrom the ‡Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia.
James G BurchfieldFrom the ‡Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia.
Daniel Clayton§School of Chemistry, University of Sydney, Sydney, NSW 2006, Australia.
Thomas A GeddesFrom the ‡Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia.
Richard J Payne§School of Chemistry, University of Sydney, Sydney, NSW 2006, Australia.
Bente Kiens¶Department of Nutrition, Exercise and Sports, August Krogh Centre, University of Copenhagen, Copenhagen 2100, Denmark.
Jørgen F P Wojtaszewski¶Department of Nutrition, Exercise and Sports, August Krogh Centre, University of Copenhagen, Copenhagen 2100, Denmark.
Erik A Richter¶Department of Nutrition, Exercise and Sports, August Krogh Centre, University of Copenhagen, Copenhagen 2100, Denmark.
David E JamesFrom the ‡Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia; david.james@sydney.edu.au.
University of Sydney · AUUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exercise is extremely beneficial to whole body health reducing the risk of a number of chronic human diseases. Some of these physiological benefits appear to be mediated via the secretion of peptide/protein hormones into the blood stream. The plasma peptidome contains the entire complement of low molecular weight endogenous peptides derived from secretion, protease activity and PTMs, and is a rich source of hormones. In the current study we have quantified the effects of intense exercise on the plasma peptidome to identify novel exercise regulated secretory factors in humans. We developed an optimized 2D-LC-MS/MS method and used multiple fragmentation methods including HCD and EThcD to analyze endogenous peptides. This resulted in quantification of 5,548 unique peptides during a time course of exercise and recovery. The plasma peptidome underwent dynamic and large changes during exercise on a time-scale of minutes with many rapidly reversible following exercise cessation. Among acutely regulated peptides, many were known hormones including insulin, glucagon, ghrelin, bradykinin, cholecystokinin and secretogranins validating the method. Prediction of bioactive peptides regulated with exercise identified

Indexed as

ExerciseAdultCell LineChromatography, LiquidHumansMaleMicrofilament ProteinsMuscle ProteinsPeptidesProtein Processing, Post-TranslationalProteolysisProteomeProteomicsTandem Mass SpectrometryMicrofilament ProteinsMuscle ProteinsPeptidesProteometransgelin

Identifiers

PMID28982716
PMCPMC5724171
OpenAlexW2762735072

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.