Evidence map›Paper›PMID 29293645›Full record

ArticlePloS one2018

Heterogeneous muscle gene expression patterns in patients with massive rotator cuff tears.

Michael C Gibbons, Kathleen M Fisch, Rajeswari Pichika, Timothy Cheng, Adam J Engler, Simon Schenk, John G Lane, Anshu Singh, Samuel R Ward

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Paraspinal muscle gene expression across different aetiologies in individuals undergoing surgery for lumbar spine pathology.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
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

9 authors at 2 institutions in 1 country.

Michael C GibbonsDepartment of Bioengineering, University of California San Diego, La Jolla, California, United States of America.ORCID 0000-0002-3039-9839
Kathleen M FischDepartment of Computational Biology, University of California San Diego, La Jolla, California, United States of America.
Rajeswari PichikaDepartment of Orthopedic Surgery, University of California San Diego, La Jolla, California, United States of America.
Timothy ChengDepartment of Orthopedic Surgery, University of California San Diego, La Jolla, California, United States of America.
Adam J EnglerDepartment of Bioengineering, University of California San Diego, La Jolla, California, United States of America.
Simon SchenkDepartment of Orthopedic Surgery, University of California San Diego, La Jolla, California, United States of America.
John G LaneDepartment of Orthopedic Surgery, University of California San Diego, La Jolla, California, United States of America.
Anshu SinghDepartment of Orthopedic Surgery, University of California San Diego, La Jolla, California, United States of America.
Samuel R WardDepartment of Orthopedic Surgery, University of California San Diego, La Jolla, California, United States of America.
University of California San Diego · USKaiser Permanente · US

Funding

The Physiological Basis of Rotator Cuff Muscle RehabilitationR01HD073180 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WARD, SAMUEL RICHARD · 2013 to 2017
$1.5M
NICHD NIH HHS R01 HD073180
6 · The paper itself

Abstract

Detrimental changes in the composition and function of rotator cuff (RC) muscles are hallmarks of RC disease progression. Previous studies have demonstrated both atrophic and degenerative muscle loss in advanced RC disease. However, the relationship between gene expression and RC muscle pathology remains poorly defined, in large part due to a lack of studies correlating gene expression to tissue composition. Therefore, the purpose of this study was to determine how tissue composition relates to gene expression in muscle biopsies from patients undergoing reverse shoulder arthroplasty (RSA). Gene expression related to myogenesis, atrophy and cell death, adipogenesis and metabolism, inflammation, and fibrosis was measured in 40 RC muscle biopsies, including 31 biopsies from reverse shoulder arthroplasty (RSA) cases that had available histology data and 9 control biopsies from patients with intact RC tendons. After normalization to reference genes, linear regression was used to identify relationships between gene expression and tissue composition. Hierarchical clustering and principal component analysis (PCA) identified unique clusters, and fold-change analysis was used to determine significant differences in expression between clusters. We found that gene expression profiles were largely dependent on muscle presence, with muscle fraction being the only histological parameter that was significantly correlated to gene expression by linear regression. Similarly, samples with histologically-confirmed muscle distinctly segregated from samples without muscle. However, two sub-groups within the muscle-containing RSA biopsies suggest distinct phases of disease, with one group expressing markers of both atrophy and regeneration, and another group not significantly different from either control biopsies or biopsies lacking muscle. In conclusion, this study provides context for the interpretation of gene expression in heterogeneous and degenerating muscle, and provides further evidence for distinct stages of RC disease in humans.

Indexed as

Gene Expression RegulationBiopsyHumansMuscle, SkeletalReal-Time Polymerase Chain ReactionRNARotator Cuff InjuriesRNA

Identifiers

PMID29293645
PMCPMC5749784
OpenAlexW2781969191

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.