Evidence map›Paper›PMID 40605342›Full record

ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2025

Synovial Dysregulation in Ankle Osteoarthritis: Molecular Insights and Pathogenetic Pathways.

Julia Matthias, Sara Buckley, Michael David, Cheryl L Ackert-Bicknell, Joshua A Metzl, Daniel K Moon, Courtney Miller, Michael J Zuscik, Kenneth J Hunt

Abstract read
In one paragraph

Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Julia MatthiasColorado Program for Musculoskeletal Research, Department of Orthopedics, Anschutz Medical Campus, University of Colorado, Aurora, Colorado, USA.ORCID 0000-0002-9996-6889
Sara BuckleyColorado Program for Musculoskeletal Research, Department of Orthopedics, Anschutz Medical Campus, University of Colorado, Aurora, Colorado, USA.
Michael DavidColorado Program for Musculoskeletal Research, Department of Orthopedics, Anschutz Medical Campus, University of Colorado, Aurora, Colorado, USA.
Cheryl L Ackert-BicknellColorado Program for Musculoskeletal Research, Department of Orthopedics, Anschutz Medical Campus, University of Colorado, Aurora, Colorado, USA.
Joshua A MetzlFoot and Ankle Orthopedics, Orthopedic Surgery, University of Colorado, Aurora, Colorado, USA.
Daniel K MoonColorado Program for Musculoskeletal Research, Department of Orthopedics, Anschutz Medical Campus, University of Colorado, Aurora, Colorado, USA.
Courtney MillerFoot and Ankle Orthopedics, Orthopedic Surgery, University of Colorado, Aurora, Colorado, USA.
Michael J ZuscikColorado Program for Musculoskeletal Research, Department of Orthopedics, Anschutz Medical Campus, University of Colorado, Aurora, Colorado, USA.
Kenneth J HuntColorado Program for Musculoskeletal Research, Department of Orthopedics, Anschutz Medical Campus, University of Colorado, Aurora, Colorado, USA.ORCID 0000-0002-8369-8744

Funding

Interdisciplinary Training in Musculoskeletal ResearchT32AR080630 · NIAMS · UNIVERSITY OF COLORADO DENVER · PI Karin A Payne, MICHAEL J ZUSCIK · 2022 to 2026
$1.7M
NIAMS NIH HHS T32 AR080630This study was funded by the American Orthopaedic Foot and Ankle Society #2021-12819-S.
6 · The paper itself

Abstract

Osteoarthritis of the ankle is a debilitating condition affecting nearly 20% of adults in the United States. The tissue, cellular, and molecular basis of this disease remains poorly understood, particularly the role of the synovial membrane. This prospective case-control study examined the gene expression profile of synovial tissue in ankle osteoarthritis to uncover biological pathways altered in the disease. Synovial biopsies were obtained from twenty-six patients with ankle osteoarthritis undergoing joint replacement and eight patients with minimal or no evidence of osteoarthritis. Bulk RNA-sequencing and differential gene expression analysis were performed, followed by biological pathway enrichment, unsupervised cluster, and network-based analysis. Synovium from ankle osteoarthritis patients showed distinct gene expression patterns compared to controls, with enrichment in pathways related to extracellular matrix remodeling and tissue morphogenesis. Age and a prior history of ankle fracture were identified as significant factors influencing the transcriptomic profile of osteoarthritic synovium. After accounting for these variables, transcriptomic clustering perfectly distinguished osteoarthritic from non-osteoarthritic synovium and revealed upregulation of pathways involved in muscle development, neural signaling, immune response, and carbohydrate metabolism. Conversely, pathways related to ribosome production, protein synthesis, and cellular signaling were downregulated. Multiple WNT signaling pathways remained significantly enriched in osteoarthritic ankle synovium. This study identifies a distinct gene expression profile in the synovium of ankle osteoarthritis patients, highlighting key molecular pathways possibly involved in disease progression. These findings provide valuable insights into the molecular mechanisms driving ankle osteoarthritis and have the potential to inform the development of novel targeted therapeutic strategies.

Indexed as

Ankle JointOsteoarthritisSynovial MembraneAdultAgedCase-Control StudiesFemaleHumansMaleMiddle AgedProspective StudiesTranscriptomeankleosteoarthritis (OA)RNA‐sequencingsynovium

Identifiers

PMID40605342
PMCPMC13495539

What OpenQuestion holds

Textmetadata
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.