Evidence map›Paper›PMID 39316445›Full record

ArticleJCI insight2024

Extracellular vesicle transfer of miR-1 to adipose tissue modifies lipolytic pathways following resistance exercise.

Benjamin I Burke, Ahmed Ismaeel, Douglas E Long, Lauren A Depa, Peyton T Coburn, Jensen Goh, Tolulope P Saliu, Bonnie J Walton, Ivan J Vechetti, Bailey D Peck and 9 more

Abstract read
In one paragraph

Article in JCI insight, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–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

23 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Review
  5. Exercise and Fat: A Primer.Sports medicine - open · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Observational
  11. Review
  12. Review
  13. Review
  14. Review
  15. Adipose-Derived Extracellular Vesicles and Intercellular Crosstalk With Skeletal Muscle: Implications for Sarcopenic Obesity and Metabolic Dysregulation.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. 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

19 authors.

Benjamin I BurkeDepartment of Physiology, College of Medicine.
Ahmed IsmaeelDepartment of Physiology, College of Medicine.
Douglas E LongCenter for Muscle Biology, College of Health Sciences.
Lauren A DepaDepartment of Physiology, College of Medicine.
Peyton T CoburnDepartment of Physiology, College of Medicine.
Jensen GohDepartment of Physiology, College of Medicine.
Tolulope P SaliuDepartment of Physiology, College of Medicine.
Bonnie J WaltonDepartment of Physiology, College of Medicine.
Ivan J VechettiDepartment of Physiology, College of Medicine.
Bailey D PeckDepartment of Physiology, College of Medicine.
Taylor R ValentinoDepartment of Physiology, College of Medicine.
C Brooks MobleyDepartment of Physiology, College of Medicine.
Hasiyet MemetiminDivision of Endocrinology, Department of Internal Medicine, College of Medicine.
Dandan WangCenter for Muscle Biology, College of Health Sciences.
Brian S FinlinDivision of Endocrinology, Department of Internal Medicine, College of Medicine.
Philip A KernCenter for Muscle Biology, College of Health Sciences.
Charlotte A PetersonCenter for Muscle Biology, College of Health Sciences.
John J McCarthyDepartment of Physiology, College of Medicine.
Yuan WenDepartment of Physiology, College of Medicine.

Funding

Kentucky Center for Clinical and Translational ScienceUL1TR001998 · NCATS · UNIVERSITY OF KENTUCKY · PI HARTMANN, KATHERINE E, KERN, PHILIP A · 2016 to 2025
$34.2M
PROGRAM IN HEMOSTASIS AND THROMBOSIS FOR ACADEMICT32HL007344 · NHLBI · UNIVERSITY OF IOWA · PI Anil Kumar Chauhan, Steven R Lentz · 1985 to 2026
$6.5M
Mechanisms for Activation of Beige Adipose Tissue in Humans; SupplementR01DK124626 · NIDDK · UNIVERSITY OF KENTUCKY · PI Philip A Kern · 2021 to 2026
$3.3M
Exercise-induced skeletal muscle exosomes promote adipocyte lipolysisR01DK119619 · NIDDK · UNIVERSITY OF KENTUCKY · PI MCCARTHY, JOHN JOSEPH, PETERSON, CHARLOTTE A. · 2018 to 2022
$2.3M
NCATS NIH HHS UL1 TR001998NHLBI NIH HHS T32 HL007344NIDDK NIH HHS R01 DK119619NIDDK NIH HHS R01 DK124626
6 · The paper itself

Abstract

Extracellular vesicles (EVs) have emerged as important mediators of intertissue signaling and exercise adaptations. In this human study, we provide evidence that muscle-specific microRNA-1 (miR-1) was transferred to adipose tissue via EVs following an acute bout of resistance exercise. Using a multimodel machine learning automation tool, we discovered muscle primary miR-1 transcript and CD63+ EV count in circulation as top explanatory features for changes in adipose miR-1 levels in response to resistance exercise. RNA-Seq and in-silico prediction of miR-1 target genes identified caveolin 2 (CAV2) and tripartite motif containing 6 (TRIM6) as miR-1 target genes downregulated in the adipose tissue of a subset of participants with the highest increases in miR-1 levels following resistance exercise. Overexpression of miR-1 in differentiated human adipocyte-derived stem cells downregulated these miR-1 targets and enhanced catecholamine-induced lipolysis. These data identify a potential EV-mediated mechanism by which skeletal muscle communicates with adipose tissue and modulates lipolysis via miR-1.

Indexed as

Adipose TissueExtracellular VesiclesLipolysisMicroRNAsMuscle, SkeletalAdipocytesAdultFemaleHumansMaleResistance TrainingYoung AdultMicroRNAsMIRN1 microRNA, humanAdipose tissueMetabolismMuscle biologySkeletal muscleTransport

Identifiers

PMID39316445
PMCPMC11601556

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.