Evidence map›Paper›PMID 40243895›Full record

ArticleInternational journal of molecular sciences2025

Loosening the Lid on Shoulder Osteoarthritis: How the Transcriptome and Metabolic Syndrome Correlate with End-Stage Disease.

Samuel J Lynskey, Zihui Ling, Mark Ziemann, Stephen D Gill, Sean L McGee, Richard S Page

Abstract readClinical StudyMulticenter Study
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Samuel J LynskeyDepartment of Orthopaedic Surgery, Geelong University Hospital, Geelong, VIC 3220, Australia.ORCID 0000-0003-0946-4613
Zihui LingPeninsula Health, 2 Hastings Rd, Frankston, VIC 3199, Australia.
Mark ZiemannBurnet Institute, Melbourne, VIC 3004, Australia.
Stephen D GillDepartment of Orthopaedic Surgery, Geelong University Hospital, Geelong, VIC 3220, Australia.ORCID 0000-0001-8722-0572
Sean L McGeeSchool of Medicine, Faculty of Health, Deakin University, Waurn Ponds, Geelong, VIC 3220, Australia.
Richard S PageDepartment of Orthopaedic Surgery, Geelong University Hospital, Geelong, VIC 3220, Australia.ORCID 0000-0002-2225-7144

Funding

Australian Orthopaedic Association 25-Reg
6 · The paper itself

Abstract

Metabolic syndrome (MetS) associated with Osteoarthritis (OA) is an increasingly recognised entity. Whilst the degenerative pattern in cuff-tear arthropathy (CTA) has been well documented, the biological processes behind primary shoulder OA and CTA remain less understood. This study investigates transcriptomic differences in these conditions, alongside the impact of MetS in patients undergoing total shoulder replacement. In a multi-centre study, 20 OA patients undergoing total shoulder replacement were included based on specific treatment indications for OA and cuff-tear arthropathy as well as 25 patients undergoing rotator cuff repair (RCR) as a comparator group. Tissues from subchondral bone, capsule (OA and RCR), and synovium were biopsied, and RNA sequencing was performed using Illumina platforms. Differential gene expression was conducted using DESeq2, adjusting for demographic factors, followed by pathway enrichment using the mitch package. Gene expressions in CTA and primary OA was differentially affected. CTA showed mitochondrial dysfunction,

Indexed as

Metabolic SyndromeOsteoarthritisShoulder JointTranscriptomeAgedFemaleGene Expression ProfilingHumansMaleMiddle AgedRotator Cuff InjuriesWnt Signaling Pathwayageingcuff-tear arthropathymetabolic syndromeOArotator cuff arthropathytranscriptomic analysis

Identifiers

PMID40243895
PMCPMC11988960

What OpenQuestion holds

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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.