Evidence map›Paper›PMID 27588172›Full record

ArticleBiomedical reports2016

Extracellular vesicle microRNAs mediate skeletal muscle myogenesis and disease.

Haidong Wang, Bin Wang

Abstract read
In one paragraph

Article in Biomedical reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Review
  3. RNAkines are secreted messengers shaping health and disease.Trends in endocrinology and metabolism: TEM · 2024
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Stem cells and regenerative medicine in sport science.Emerging topics in life sciences · 2021
    Article
  11. Liquid Biopsy for Cancer Cachexia: Focus on Muscle-Derived microRNAs.International journal of molecular sciences · 2021
    Review
  12. Review
  13. Review
  14. Influence of microRNAs and exosomes in muscle health and diseases.Journal of muscle research and cell motility · 2020
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  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

2 authors.

Haidong WangCollege of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu, Shanxi 030801, P.R. China.
Bin WangDepartment of Nephrology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213003, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle function is important for good health and independent living, and has been subject to numerous studies focused on skeletal muscle development, function and metabolism. However, progressive and degenerative changes in skeletal muscle function often occur following physiological and pathological stress, and these lead to the progression of diabetes, obesity, chronic kidney disease, and cardiovascular or respiratory diseases. Identifying the mechanisms that influence the processes regulating skeletal muscle function is a key priority. Recently, studies have demonstrated that microRNAs (miRNAs) play important roles in regulating biological processes. For instance, exosomes are key tools for communication between cells. Therefore, by determining how select miRNAs are transported to target organs and initiate their effects, these results will help explain muscle and organ crosstalk, improve our understanding and application of current therapeutic approaches and lead to the identification of new therapeutic strategies and targets aimed at maintaining and/or improving skeletal muscle health.

Indexed as

extracellular vesiclemicroRNAsskeletal muscle

Identifiers

PMID27588172
PMCPMC4997983

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.