Level D· Scientific groundwork from lab and animal studiesNarrative ReviewEurope PMC

Spatial transcriptomic applications in orthopedics

Jenkins TL., Yik JHN., Haudenschild DR.

Narrative Review on Tendon Injury, Ligament Injury, Disc Degeneration, published in Connect Tissue Res (2025) — summary generated from the PubMed abstract.

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Level D· Scientific groundwork from lab and animal studiesEvidence level of this study

Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.

  • Level A · Stronger Clinical Evidence
  • Level B · Emerging clinical evidence with positive signals
  • Level C · Early human research exploring benefits
  • Level D · Scientific groundwork from lab and animal studies
  • Emerging · Emerging topic under active research
Read the A–D evidence level guide

This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.

Study type
Narrative Review
Journal
Connect Tissue Res (2025)
Reported sample size
—
Source database
Europe PMC
PMID
40347072
PMCID
PMC12328079
DOI
10.1080/03008207.2025.2501703
Citations
3

Abstract (original English)

Purpose This review highlights the transformative impact of spatial transcriptomics on orthopedic research, focusing on its application in deciphering intricate gene expression patterns within musculoskeletal tissues. Methods The paper reviews literature for spatial transcriptomic methods, specifically 10X Visium, 10X Xenium, seqFISH+, MERFISH, NanoString GeoMx DSP, used on musculoskeletal tissues (cartilage, joints, bone, tendon, ligament, and synovium). Results Searches identified 29 published manuscripts reporting spatial transcriptomic data in cartilage, bone, tendon, synovium, and intervertebral disc. Most publications of spatial transcriptomic data are from tendon and synovium. 10X Visium has been used in 22 of the 29 papers identified. Spatial transcriptomics has been used to identify novel cell populations and cell signaling pathways that regulate development and disease. Conclusions Imaging-based spatial transcriptomic methods may be better for hypothesis testing as they generally have subcellular resolution but sequence fewer genes. Sequencing methods may be better for untargeted, shotgun approaches that can generate useful hypotheses from the spatial data from unimpaired tissue sections. Spatial transcriptomic methods could become useful for clinical diagnostics and precision medicine approaches.

What this study does not prove

  • • This study does not prove SVF is an approved treatment or a replacement for standard care.
  • • This is a narrative review: it collects no new patient data and does not systematically appraise evidence quality.

Evidence level

Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.

How we grade evidence
AnimalsHumansGene Expression ProfilingOrthopedicsTranscriptome

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