Evidence map›Paper›PMID 31191831›Full record

ArticleJournal of extracellular vesicles2019

Platelets, endothelial cells and leukocytes contribute to the exercise-triggered release of extracellular vesicles into the circulation.

Alexandra Brahmer, Elmo Neuberger, Leona Esch-Heisser, Nils Haller, Malene Moeller Jorgensen, Rikke Baek, Wiebke Möbius, Perikles Simon, Eva-Maria Krämer-Albers

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of extracellular vesicles, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed, 1 pooled it
–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

157 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  18. Research progress on blood therapy for anti-aging.Journal of advanced research · 2026
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97 more citing papers are in PubMed but not listed here.

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.

Alexandra BrahmerInstitute of Developmental Biology and Neurobiology, Biology of Extracellular Vesicles, University of Mainz, Mainz, Germany.
Elmo NeubergerDepartment of Sports Medicine, Rehabilitation and Disease Prevention, University of Mainz, Mainz, Germany.
Leona Esch-HeisserInstitute of Developmental Biology and Neurobiology, Biology of Extracellular Vesicles, University of Mainz, Mainz, Germany.
Nils HallerDepartment of Sports Medicine, Rehabilitation and Disease Prevention, University of Mainz, Mainz, Germany.
Malene Moeller JorgensenDepartment of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark.
Rikke BaekDepartment of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark.
Wiebke MöbiusDepartment of Neurogenetics, Electron Microscopy Core Unit, Max Planck Institute of Experimental Medicine, Göttingen, Germany.
Perikles SimonDepartment of Sports Medicine, Rehabilitation and Disease Prevention, University of Mainz, Mainz, Germany.
Eva-Maria Krämer-AlbersInstitute of Developmental Biology and Neurobiology, Biology of Extracellular Vesicles, University of Mainz, Mainz, Germany.ORCID 0000-0001-7994-1185

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical activity initiates a wide range of multi-systemic adaptations that promote mental and physical health. Recent work demonstrated that exercise triggers the release of extracellular vesicles (EVs) into the circulation, possibly contributing to exercise-associated adaptive systemic signalling. Circulating EVs comprise a heterogeneous collection of different EV-subclasses released from various cell types. So far, a comprehensive picture of the parental and target cell types, EV-subpopulation diversity and functional properties of EVs released during exercise (ExerVs) is lacking. Here, we performed a detailed EV-phenotyping analysis to explore the cellular origin and potential subtypes of ExerVs. Healthy male athletes were subjected to an incremental cycling test until exhaustion and blood was drawn before, during, and immediately after the test. Analysis of total blood plasma by EV Array suggested endothelial and leukocyte characteristics of ExerVs. We further purified ExerVs from plasma by size exclusion chromatography as well as CD9-, CD63- or CD81-immunobead isolation to examine ExerV-subclass dynamics. EV-marker analysis demonstrated increasing EV-levels during cycling exercise, with highest levels at peak exercise in all EV-subclasses analysed. Phenotyping of ExerVs using a multiplexed flow-cytometry platform revealed a pattern of cell surface markers associated with ExerVs and identified lymphocytes (CD4, CD8), monocytes (CD14), platelets (CD41, CD42, CD62P), endothelial cells (CD105, CD146) and antigen presenting cells (MHC-II) as ExerV-parental cells. We conclude that multiple cell types associated with the circulatory system contribute to a pool of heterogeneous ExerVs, which may be involved in exercise-related signalling mechanisms and tissue crosstalk.

Indexed as

exerciseexosomesExtracellular vesiclesimmunobead isolationmultiplex phenotypingplasmasize exclusion chromatography

Identifiers

PMID31191831
PMCPMC6542154

What OpenQuestion holds

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Registered trials

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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.