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Record W4412320263

CIRCULATING EXTRACELLULAR VESICLES RELEASED AFTER ISCHEMIC EXERCISE EXHIBIT AN ALTERED MIRNA PROFILE AND INDUCE PROLIFERATION OF SKELETAL MUSCLE PRECURSOR CELLS

2019· article· en· W4412320263 on OpenAlexaff
Kristian Vissing, Jesper Just, Yan Yan, Jean Farup, Morten T. Venø, Peter Sieljacks, Frank Vincenzo de Paoli, Jørgen Kjems, Kim Ryun Drasbek

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsiNano Medical (Canada)
Fundersnot available
KeywordsExtracellular vesiclesSkeletal muscleCell biologymicroRNAExtracellularMicrovesiclesVesicleChemistryBiologyBiochemistryEndocrinologyGeneMembrane
DOInot available

Abstract

fetched live from OpenAlex

Background Transient sub-lethal ischemia (remote ischemic conditioning, RIC) can promote protective effect against cardiac muscle tissue degradation inherent of lethal ischemia. Protective effects of RIC may involve miRNA derived from extracellular vesicles (EVs) to affect gene expression in remote tissues. EVs are released in plasma after ischemic conditioning and traditional exercise. Ischemic exercise conducted as low-load blood flow restricted resistance exercise (BFRE) can precondition skeletal muscle and promote muscle accretion. This low intensity ischemic exercise regime may be more feasible for clinical populations where high mechanical loading and/or intensity exercise, is untenable. Muscle regenerative and growth processes are partly reliant on activation of muscle precursor cells. Extracellular miRNA elicited by BFRE may stimulate muscle precursor cells, to potentially exert effect on remote skeletal and cardiac tissue. The aim of the study was to investigate the effect of low intensity BFRE on EV profile, miRNA cargo and skeletal muscle precursor cell proliferation. Methods EVs were isolated from plasma collected from 6 healthy human subjects before and 1 hour after a single bout of BFRE. During BFRE, a tourniquet cuff was wrapped around the proximal part of the thigh and inflated to a pressure of 100 mmHg by a digital tourniquet system with automatic regulation of cuff pressure. Exercise was conducted as five sets of knee extensions, with each set conducted to volitional failure with 30 % of 1 Repeat Maximum (RM), and with 45 seconds of recovery between sets. EVs were characterized by NTA, TRPS, western blotting and electron microscopy. Small EV RNAs were isolated and sequenced by NGS. Differential expression of EV miRNAs was analyzed by DESeq2 followed by functional enrichment analysis. Isolated EVs were applied in an in vitro proliferation assay on primary muscle stem cells and fatty acid progenitor cells, to test the ability BFRE primed EVs to stimulate proliferation. Results No difference in EV quantity or size was observed after BFRE. Expression of 12 miRNAs was significantly altered after BFRE. Target prediction and functional enrichment analysis of these miRNAs revealed several target genes and association to several biological pathways involved in skeletal muscle protein turnover. Interestingly, BFRE-conditioned EVs significantly increased the proliferation of muscle precursor cells. Summary/Conclusion The results support that BFRE promote EV-derived miRNA to engage in muscle remodeling and/or growth processes. Moreover, this suggest for a way for ischemia and/or exercise to exert protective effects in remote tissues.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.224
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2019
Admission routes1
Has abstractyes

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