Evidence map›Paper›PMID 35297690›Full record

ArticleJournal of applied physiology (Bethesda, Md. : 1985)2022

Men and women display distinct extracellular vesicle biomarker signatures in response to military operational stress.

William R Conkright, Meaghan E Beckner, Amrita Sahu, Qi Mi, Zachary J Clemens, Mita Lovalekar, Shawn D Flanagan, Brian J Martin, Fabio Ferrarelli, Fabrisia Ambrosio and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of applied physiology (Bethesda, Md. : 1985), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. 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

11 authors at 1 institution in 1 country.

William R ConkrightNeuromuscular Research Lab/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0002-7001-0795
Meaghan E BecknerNeuromuscular Research Lab/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0002-6319-9390
Amrita SahuMcGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Qi MiNeuromuscular Research Lab/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania.
Zachary J ClemensMcGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0002-2230-9151
Mita LovalekarNeuromuscular Research Lab/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0002-4536-8656
Shawn D FlanaganNeuromuscular Research Lab/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0002-6531-4567
Brian J MartinNeuromuscular Research Lab/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania.
Fabio FerrarelliSchool of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Fabrisia AmbrosioMcGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Bradley C NindlNeuromuscular Research Lab/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania.
University of Pittsburgh · US

Funding

ImageStreamX MarkIIS10OD019942 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BORGHESI, LISA · 2015 to 2015
$543k
NIH HHS S10 OD019942
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are mediators of physiological changes that occur during physical exertion. This study examined the effects of physical exertion with and without sleep and caloric restriction on EV size, concentration, and surface proteins in men and women. Twenty participants (10 men) completed a 5-day simulated military operational stress protocol with daily physical exertion. Blood was drawn before and immediately after exertion at baseline (D1) and following 48-h of sleep and caloric restriction (D3). EV size and concentration were assessed using nanoparticle tracking analysis. EVs were identified with markers associated with exosomes (CD63), microvesicles (VAMP3), apoptotic bodies (THSD1), and skeletal muscle-derived EVs (SGCA) and quantified using imaging flow cytometry. Interactive and main effects of sex, day, and time on EVs were assessed using three-way ANOVAs. EV concentration declined pre to postexertion in women on D1 and D3 but was stable in men. EV size increased from pre to postexertion and from D1 to D3 in men and women. Physical exertion following sleep and caloric restriction increased CD63+ EV concentration, proportion of total EVs, and CD63 surface protein expression regardless of sex. The proportion of SGCA+ EVs increased in men and women following exertion and from D1 to D3 but was higher in women than in men. No differences were observed in VAMP3+ and THSD1+ EVs. This study identified sexually dimorphic EV profiles in response to various stressors. Further investigations are necessary to determine if dimorphic EV responses affect health and performance outcomes during stress.

Indexed as

ExosomesExtracellular VesiclesMilitary PersonnelBiomarkersFemaleHumansMaleMembrane ProteinsVesicle-Associated Membrane Protein 3BiomarkersMembrane ProteinsVesicle-Associated Membrane Protein 3exerciseexosomesnutritionsex differencessleep

Identifiers

PMID35297690
PMCPMC9054257
OpenAlexW4220945256

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.