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Birmingham Inflammation and joint pain study

Population Size

71

People

Years

2017 - 2024

Associated BioSamples

RNA

Serum

...see more

Geographic coverage

https://www.geonames.org/2634343/west-midlands.html

Lead time

Not applicable

Summary

This study contains pain data from patients with knee osteoarthritis, including questionnaires (EQ5D, OKS, VAS), synovitis scores, and transcriptomic data of synovial tissues from patient-reported sites of pain and no pain using bulk and single-cell RNAseq.

Documentation

Background: Synovial inflammation is associated with pain severity in patients with knee osteoarthritis (OA). The aim here was to determine in a population with knee OA, whether synovial tissue from patient-reported sites associated with pain exhibited different synovial fibroblast transcriptomes, compared to synovial tissue from patient-matched non-painful sites. A further aim was to compare differences between early and end-stage disease synovial fibroblasts.

Methods: Patients undergoing arthroscopy or total joint replacement, categorised as early knee OA (n=30) and end-stage knee OA (n=41) respectively, were recruited. Patient reported pain was recorded using EQ5D, Oxford Knee Score (OKS), Visual Analogue Scale (VAS) questionnaires and using an anatomical knee pain map where patient marked painful and non-painful sites. Proton density fat suppressed MRI axial and sagittal sequences were analysed and scored for synovitis. Synovial tissue was obtained from the medial and lateral parapatellar and suprapatellar sites. RNA sequencing was performed using Illumina’s NextSeq 500 (GSE176223) and single-RNA seq performed using 10x (GSE176308). Transcriptomes were functionally characterised using Ingenuity Pathway Analysis.

Findings: Parapatellar synovitis was significantly associated with increased OA pain perception. Functional pathway analysis revealed that early OA painful sites mediate immune cell recruitment and promote the formation and development of neurites.

Conclusion: OA disease progression and the presence of pain in early OA is associated with different synovial pathotypes. Further interrogation of these pathotypes will increase our understanding of the role of synovitis in OA joint pain and provide a rationale for the therapeutic targeting to alleviate pain in patients.

Full study details can be found in our publication DOI: 10.1016/j.ebiom.2021.103618 (PMID: 34628351 PMCID: PMC8511845)

On going:

  • integrating proteomic data from synovial tissues and matched synovial fluids to further investigate the underlying cellular mechanisms between synovial fibroblasts and neurones that mediate nociceptor activity
  • testing antisense oligonucleotides (ASOs) designed to silence candidate genes and their efficacy in modulating the fibroblast pain pathotype and reducing the growth and sensory function of neurons
  • intra-articular delivery of ASO into the synovial joint tissues and its analgesic efficacy in an experimental model of OA pain will be evaluated
Dataset type
Health and disease, Treatments/Interventions
Dataset sub-type
Not applicable
Dataset population size
71

Keywords

Pain, Osteoarthritis, fibroblasts, scRNAseq, synovitis, inflammation, proteomics, transcriptomics, single-cell RNA seq, synovial fluid

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

SNOMED terms "arthroscopy" or "total joint replacement" categorised as early knee OA or end-stage knee OA, respectively, in this study

71

Count

11 Dec 2024

Provenance

Purpose of dataset collection
Study
Source of data extraction
EPR, Paper-based, Machine generated
Collection source setting
Secondary care - In-patients, Secondary care - Outpatients
Image contrast
Not stated
Biological sample availability
RNA,Serum,Tissue,Primary cells,Other

Structural Metadata

Details

Publishing frequency
Static
Version
1.0.0
Modified

10/12/2024

Coverage

Start date

01/12/2017

End date

31/07/2024

Time lag
Not applicable
Minimum age range
36
Maximum age range
85
Follow-up
Other

Accessibility

Language
en
Alignment with standardised data models
OMOP, LOCAL
Controlled vocabulary
LOCAL, SNOMED CT
Format
text/tab-separated-values, text/csv

Data Access Request

Dataset pipeline status
Available
Access rights
In Progress
Time to dataset access
Not applicable
Access method category
Varies based on project
Jurisdiction
GB-ENG
Data use limitation
Research use only
Data use requirements
User-specific restriction,Collaboration required
Data Controller
s.w.jones@bham.ac.uk
Data Processor
Alleviate

Dataset Types: Health and disease, Treatments/Interventions


Collection Sources: Secondary care - In-patients, Secondary care - Outpatients