Evidence map›Paper›PMID 34910603›Full record

ArticleAmerican journal of physiology. Cell physiology2022

Extracellular vesicle secretion is tissue-dependent ex vivo and skeletal muscle myofiber extracellular vesicles reach the circulation in vivo.

Andrea L Estrada, Zackary J Valenti, Gabriella Hehn, Adam J Amorese, Nicholas S Williams, Nicholas P Balestrieri, Clayton Deighan, Christopher P Allen, Espen E Spangenburg, Nicole A Kruh-Garcia and 1 more

Open access · greenAbstract read
In one paragraph

Article in American journal of physiology. Cell physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

52 citing papers in PubMed, 73 citations in OpenAlex.

  1. Trial
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  7. [Experimental investigation of skin tissue-derived extracellular vesicles isolated from type 2 diabetic foot ulcers in impaired wound healing].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2026
    Article
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  14. Bone and muscle crosstalk in ageing and disease.Nature reviews. Endocrinology · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Extracellular vesicles: key mediators inFrontiers in veterinary science · 2025
    Review
  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

11 authors at 3 institutions in 1 country.

Andrea L EstradaDepartment of Health and Exercise Science, College of Health and Human Sciences, Colorado State University, Fort Collins, Colorado.
Zackary J ValentiDepartment of Health and Exercise Science, College of Health and Human Sciences, Colorado State University, Fort Collins, Colorado.
Gabriella HehnDepartment of Health and Exercise Science, College of Health and Human Sciences, Colorado State University, Fort Collins, Colorado.
Adam J AmoreseDepartment of Physiology, Brody School of Medicine, East Carolina University, Greenville, North Carolina.
Nicholas S WilliamsDepartment of Health and Exercise Science, College of Health and Human Sciences, Colorado State University, Fort Collins, Colorado.
Nicholas P BalestrieriDepartment of Physiology, Brody School of Medicine, East Carolina University, Greenville, North Carolina.
Clayton DeighanNanoView Biosciences, Boston, Massachusetts.
Christopher P AllenDepartment of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado.
Espen E SpangenburgDepartment of Physiology, Brody School of Medicine, East Carolina University, Greenville, North Carolina.ORCID 0000-0001-8339-1972
Nicole A Kruh-GarciaDepartment of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado.
Daniel S LarkDepartment of Health and Exercise Science, College of Health and Human Sciences, Colorado State University, Fort Collins, Colorado.ORCID 0000-0001-8386-8478
Colorado State University · USEast Carolina University · USUrsinus College · US

Funding

BRCA1 is necessary for optimal skeletal muscle functionR01AR066660 · NIAMS · EAST CAROLINA UNIVERSITY · PI SPANGENBURG, ESPEN E · 2015 to 2019
$1.6M
NIAMS NIH HHS R01 AR066660
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are biomarkers and modifiers of human disease. EVs secreted by insulin-responsive tissues like skeletal muscle (SkM) and white adipose tissue (WAT) contribute to metabolic health and disease but the relative abundance of EVs from these tissues has not been directly examined. Human Protein Atlas data and directly measuring EV secretion in mouse SkM and WAT using an ex vivo tissue explant model confirmed that SkM tissue secretes more EVs than WAT. Differences in EV secretion between SkM and WAT were not due to SkM contraction but may be explained by differences in tissue metabolic capacity. We next examined how many EVs secreted from SkM tissue ex vivo and in vivo are myofiber-derived. To do this, a SkM myofiber-specific dual fluorescent reporter mouse was created. Spectral flow cytometry revealed that SkM myofibers are a major source of SkM tissue-derived EVs ex vivo and EV immunocapture indicates that ∼5% of circulating tetraspanin-positive EVs are derived from SkM myofibers in vivo. Our findings demonstrate that

Indexed as

Adipose Tissue, WhiteAnimalsBiomarkersExtracellular VesiclesFemaleMaleMiceMice, 129 StrainMice, Inbred C57BLMuscle Fibers, SkeletalMuscle, SkeletalOptical ImagingRetrospective StudiesBiomarkersadipose tissuecontractionextracellular vesiclemyofiberskeletal muscle

Identifiers

PMID34910603
PMCPMC8816621
OpenAlexW4200014340

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.