Evidence map›Paper›PMID 32647732›Full record

ArticleOrthopaedic journal of sports medicine2020

Gene Expression in Torn Rotator Cuff Tendons Determined by RNA Sequencing.

Robert Z Tashjian, Ian Lock, Erin K Granger, Yangliang Wang, Younghee Lee, Peter N Chalmers, Kevin B Jones

Open access · goldAbstract read
In one paragraph

Article in Orthopaedic journal of sports medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Molecular Mechanisms of Rotator Cuff Degeneration Identified by Spatial Transcriptomics and Multiplex Immunofluorescence.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026
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  3. Review
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  11. Research perspectives-Pipelines to human tendon transcriptomics.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022
    Review
  12. Novel RNA extraction method from human tears.Molecular biology research communications · 2022
    Article
  13. 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

7 authors at 1 institution in 1 country.

Robert Z TashjianDepartment of Orthopaedics, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Ian LockDepartment of Orthopaedics, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Erin K GrangerDepartment of Orthopaedics, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Yangliang WangDepartment of Orthopaedics, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Younghee LeeDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Peter N ChalmersDepartment of Orthopaedics, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Kevin B JonesDepartment of Orthopaedics, University of Utah School of Medicine, Salt Lake City, Utah, USA.
University of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the cause of rotator cuff tearing is likely multifactorial and a genetic predisposition has been proposed, the biochemical basis remains unknown. PURPOSE: To determine gene expression profiles in torn rotator cuff tendon tissue through use of RNA sequencing. STUDY

designControlled laboratory study.

methodsThe supraspinatus tendon edge was biopsied in 24 patients undergoing arthroscopic rotator cuff repair for full-thickness supraspinatus rotator cuff tears. The supraspinatus tendon was also biopsied in 9 patients undergoing open reduction and internal fixation for a proximal humeral fracture (controls). Total RNA was extracted and sequenced. Differential gene expression was analyzed between the tear and control groups, and a secondary analysis was conducted between groups defined by an unbiased clustering.

resultsTear and control transcriptomes demonstrated significant differential expression in more than 3000 genes. The identified differential genes were highlighted in pathways involved in inflammation in control patients and extracellular matrix generation in patients with tears. Secondary analysis using unsupervised and thus unbiased hierarchical clustering revealed 2 clusters (c2 and c3). Cluster c3 contained smaller (

conclusionSmaller, less retracted tears had increased expression of hypoxia target genes and improved healing, whereas larger, more retracted tears were associated with endothelial cell markers and worse healing. Thus, hypoxia may be the inciting event for tear development, whereas with tear enlargement, a chronic, inflammatory, angiogenic process may predominate. CLINICAL RELEVANCE: Identification of differential gene expression in rotator cuff tears may be a reliable tool to predict repair healing in the future.

Indexed as

angiogenesisendothelialgeneticshypoxiainflammationRNA sequencingrotator cuff

Identifiers

PMID32647732
PMCPMC7325550
OpenAlexW3037438257

What OpenQuestion holds

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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.