Evidence map›Paper›PMID 36091396›Full record

ArticleFrontiers in physiology2022

Differential microRNA profiles of intramuscular and secreted extracellular vesicles in human tissue-engineered muscle.

Christopher G Vann, Xin Zhang, Alastair Khodabukus, Melissa C Orenduff, Yu-Hsiu Chen, David L Corcoran, George A Truskey, Nenad Bursac, Virginia B Kraus

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

14 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. A peripheral perspective on brain health: vascular and skeletal muscle contributions.American journal of physiology. Heart and circulatory physiology · 2026
    Review
  3. RYR1Journal of translational medicine · 2026
    Article
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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.

Christopher G VannDuke Molecular Physiology Institute, Duke University School of Medicine, Duke University, Durham, NC, United States.
Xin ZhangDuke Molecular Physiology Institute, Duke University School of Medicine, Duke University, Durham, NC, United States.
Alastair KhodabukusDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, United States.
Melissa C OrenduffDuke Molecular Physiology Institute, Duke University School of Medicine, Duke University, Durham, NC, United States.
Yu-Hsiu ChenDuke Molecular Physiology Institute, Duke University School of Medicine, Duke University, Durham, NC, United States.
David L CorcoranDepartment of Genetics, University of North Carolina School of Medicine, University of North Carolina, Chapel Hill, NC, United States.
George A TruskeyDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, United States.
Nenad BursacDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, United States.
Virginia B KrausDuke Molecular Physiology Institute, Duke University School of Medicine, Duke University, Durham, NC, United States.
Duke University · USUniversity of North Carolina at Chapel Hill · US

Funding

Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI CATHLEEN S COLON-EMERIC, Susan Nicole Hastings · 2006 to 2026
$24.6M
Integrated Cellular and Tissue Engineering for Ischemic Heart DiseaseU01HL134764 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BURSAC, NENAD, KAMP, TIMOTHY J. · 2016 to 2022
$7.7M
Epigenetic Mechanisms Promoting LongevityR01AG054840 · NIA · DUKE UNIVERSITY · PI KRAUS, VIRGINIA · 2018 to 2022
$3.4M
Extracellular Vesicle Analyses to Develop Aging and Resilience BiomarkersR01AG070146 · NIA · DUKE UNIVERSITY · PI KRAUS, VIRGINIA B · 2021 to 2025
$3.1M
University Training Program in Biomolecular and Tissue EngineeringT32GM144291 · NIGMS · DUKE UNIVERSITY · PI Charles A. Gersbach, Tatiana Segura · 2022 to 2026
$2.6M
Microphysiological Human Tissue Systems for Monitoring of Genome Editing OutcomesU01HL156348 · NHLBI · DUKE UNIVERSITY · PI BURSAC, NENAD, GERSBACH, CHARLES A. · 2020 to 2022
$2.0M
Muscle-macrophage constructs for skeletal muscle repairR01AR070543 · NIAMS · DUKE UNIVERSITY · PI BURSAC, NENAD · 2016 to 2020
$1.9M
Microphysiological Human Tissue Systems for Monitoring of Genome Editing OutcomesU01EB028901 · NIBIB · DUKE UNIVERSITY · PI BURSAC, NENAD, GERSBACH, CHARLES A. · 2019 to 2019
$668k
NHLBI NIH HHS U01 HL156348NIAMS NIH HHS R01 AR070543NIA NIH HHS P30 AG028716NIA NIH HHS R01 AG054840NIA NIH HHS R01 AG070146NIBIB NIH HHS U01 EB028901NIGMS NIH HHS T32 GM144291
6 · The paper itself

Abstract

Exercise affects the expression of microRNAs (miR/s) and muscle-derived extracellular vesicles (EVs). To evaluate sarcoplasmic and secreted miR expression in human skeletal muscle in response to exercise-mimetic contractile activity, we utilized a three-dimensional tissue-engineered model of human skeletal muscle ("myobundles"). Myobundles were subjected to three culture conditions: no electrical stimulation (CTL), chronic low frequency stimulation (CLFS), or intermittent high frequency stimulation (IHFS) for 7 days. RNA was isolated from myobundles and from extracellular vesicles (EVs) secreted by myobundles into culture media; miR abundance was analyzed by miRNA-sequencing. We used edgeR and a within-sample design to evaluate differential miR expression and Pearson correlation to evaluate correlations between myobundle and EV populations within treatments with statistical significance set at

Indexed as

engineered tissueextracellular vesciclesmicroRNAmiRNA sequencingskeletal muscle

Identifiers

PMID36091396
PMCPMC9452896
OpenAlexW4293018798

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.