Evidence map›Paper›PMID 25879758›Full record

SynthesisPloS one2015

Proteomics perspectives in rotator cuff research: a systematic review of gene expression and protein composition in human tendinopathy.

Maria Hee Jung Sejersen, Poul Frost, Torben Bæk Hansen, Søren Rasmussen Deutch, Susanne Wulff Svendsen

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Tendinopathy.Nature reviews. Disease primers · 2021
    Review
  9. Article
  10. Review
  11. Genetic Aspects in Shoulder Disorders.Revista brasileira de ortopedia · 2020
    Article
  12. In Vitro Innovation of Tendon Tissue Engineering Strategies.International journal of molecular sciences · 2020
    Review
  13. Recent advances in tendinopathy.Faculty reviews · 2020
    Review
  14. Article
  15. Review
  16. Augmenting endogenous repair of soft tissues with nanofibre scaffolds.Journal of the Royal Society, Interface · 2018
    Review
  17. Article
  18. Article
  19. 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

5 authors at 4 institutions in 1 country.

Maria Hee Jung SejersenDanish Ramazzini Centre, Department of Occupational Medicine, Regional Hospital West Jutland-University Research Clinic, Herning, Denmark.
Poul FrostDanish Ramazzini Centre, Department of Occupational Medicine, Aarhus University Hospital, Aarhus, Denmark.
Torben Bæk HansenResearch Unit for Orthopaedics, Holstebro Regional Hospital, Holstebro, Denmark; Institute of Clinical Medicine, Faculty of Health Sciences, Aarhus University, Aarhus, Denmark.
Søren Rasmussen DeutchDepartment of Orthopaedic Surgery, Randers Regional Hospital, Randers, Denmark.
Susanne Wulff SvendsenDanish Ramazzini Centre, Department of Occupational Medicine, Regional Hospital West Jutland-University Research Clinic, Herning, Denmark.
Regional Hospital West Jutland · DKAarhus University Hospital · DKRegional Hospital Holstebro · DKRegional Hospital Randers · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRotator cuff tendinopathy including tears is a cause of significant morbidity. The molecular pathogenesis of the disorder is largely unknown. This review aimed to present an overview of the literature on gene expression and protein composition in human rotator cuff tendinopathy and other tendinopathies, and to evaluate perspectives of proteomics--the comprehensive study of protein composition--in tendon research. MATERIALS AND

methodsWe conducted a systematic search of the literature published between 1 January 1990 and 18 December 2012 in PubMed, Embase, and Web of Science. We included studies on objectively quantified differential gene expression and/or protein composition in human rotator cuff tendinopathy and other tendinopathies as compared to control tissue.

resultsWe identified 2199 studies, of which 54 were included; 25 studies focussed on rotator cuff or biceps tendinopathy. Most of the included studies quantified prespecified mRNA molecules and proteins using polymerase chain reactions and immunoassays, respectively. There was a tendency towards an increase of collagen I (11 of 15 studies) and III (13 of 14), metalloproteinase (MMP)-1 (6 of 12), -9 (7 of 7), -13 (4 of 7), tissue inhibitor of metalloproteinase (TIMP)-1 (4 of 7), and vascular endothelial growth factor (4 of 7), and a decrease in MMP-3 (10 of 12). Fourteen proteomics studies of tendon tissues/cells failed inclusion, mostly because they were conducted in animals or in vitro.

conclusionsBased on methods, which only allowed simultaneous quantification of a limited number of prespecified mRNA molecules or proteins, several proteins appeared to be differentially expressed/represented in rotator cuff tendinopathy and other tendinopathies. No proteomics studies fulfilled our inclusion criteria, although proteomics technologies may be a way to identify protein profiles (including non-prespecified proteins) that characterise specific tendon disorders or stages of tendinopathy. Thus, our results suggested an untapped potential for proteomics in tendon research.

Indexed as

Gene ExpressionProteomicsHumansProteinsPublication BiasRotator CuffShoulder Impingement SyndromeProteins

Identifiers

PMID25879758
PMCPMC4400011
OpenAlexW1965214617

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.