THU0032 Predicting the Evolution of Inflammatory Arthritis in ACPA-Positive Individuals: can T-Cell Subset Help?. (23rd January 2014)
- Record Type:
- Journal Article
- Title:
- THU0032 Predicting the Evolution of Inflammatory Arthritis in ACPA-Positive Individuals: can T-Cell Subset Help?. (23rd January 2014)
- Main Title:
- THU0032 Predicting the Evolution of Inflammatory Arthritis in ACPA-Positive Individuals: can T-Cell Subset Help?
- Authors:
- Hunt, L.
Nam, J. L.
Rakieh, C.
Emery, P.
Ponchel, F. - Abstract:
- Abstract : Background: ACPA+ individuals with non specific musculoskeletal symptoms are at high risk of developing rheumatoid arthritis (RA). We previously demonstrated dys-regulation of T-cell subsets with loss of naïve and regulatory T-cell (Treg) in early disease. Objectives: The aim of the current study is to demonstrate the biomarker value of T-cell subset analysis for the prediction of symptom onset in ACPA+ individuals. This preliminary data aims to highlight the clinical application of T-cell subset analysis within a predictive model for rheumatoid arthritis. Methods: 64 ACPA+ individuals without clinical synovitis at recruitment were followed in the rheumatology clinic for up to 52 months. At baseline T-cell subset analysis was performed using 6 colour flowcytometry for naïve T-cell (CD4+CD45RB+CD45RA+CD62L+), Treg (CD4+CD25 high Foxp3+CD127 low ) and inflammation related cells (IRC: CD4+CD45RB+CD45RA+CD62L-). Analysis of 75 healthy controls (HC) enabled a reference group. Results: 33/64 (51.5%) patients developed clinical synovitis within a median follow-up of 6.1 months (range 1 week to 49 months). Of these 5 were diagnosed as undifferentiated arthritis (UA) and 28 meet the ACR/EULAR 2010 criteria for RA. Within those patients who progressed to synovitis T-cell subset analysis revealed disturbance from health in all 3 subsets. Both naïve T-cell frequency (p=0.003) and regulatory T-cell (p<0.0001) were reduced, while inflammation related cells (IRC, p=0.017)Abstract : Background: ACPA+ individuals with non specific musculoskeletal symptoms are at high risk of developing rheumatoid arthritis (RA). We previously demonstrated dys-regulation of T-cell subsets with loss of naïve and regulatory T-cell (Treg) in early disease. Objectives: The aim of the current study is to demonstrate the biomarker value of T-cell subset analysis for the prediction of symptom onset in ACPA+ individuals. This preliminary data aims to highlight the clinical application of T-cell subset analysis within a predictive model for rheumatoid arthritis. Methods: 64 ACPA+ individuals without clinical synovitis at recruitment were followed in the rheumatology clinic for up to 52 months. At baseline T-cell subset analysis was performed using 6 colour flowcytometry for naïve T-cell (CD4+CD45RB+CD45RA+CD62L+), Treg (CD4+CD25 high Foxp3+CD127 low ) and inflammation related cells (IRC: CD4+CD45RB+CD45RA+CD62L-). Analysis of 75 healthy controls (HC) enabled a reference group. Results: 33/64 (51.5%) patients developed clinical synovitis within a median follow-up of 6.1 months (range 1 week to 49 months). Of these 5 were diagnosed as undifferentiated arthritis (UA) and 28 meet the ACR/EULAR 2010 criteria for RA. Within those patients who progressed to synovitis T-cell subset analysis revealed disturbance from health in all 3 subsets. Both naïve T-cell frequency (p=0.003) and regulatory T-cell (p<0.0001) were reduced, while inflammation related cells (IRC, p=0.017) frequencies were increased. Groups however were not aged matched. Progression towards synovitis was associated with lower naïve (p=0.005) and Treg (p=0.004) frequency but increased IRC (p<0.0001). To develop a predictive model, naïve cells were coded (normal or reduced) according to the age-adjusted 95% CI of data obtained from the 75 HCs, and Treg / IRC using the 95%CI of the HC distribution as not related to age. Progression was associated with reduced naïve T-cells (p=0.009), reduced Treg (p=0.022) and increased IRC (p=0.001). Regression using these 3 parameters confirmed IRC (p=0.001) and naïve cells (p=0.011) as independent predictors of progression but Treg were less predictive as most patients showed clear reduction compared to HC95%CI (p=0.097). Conclusions: T-cell dys-regulation in ACPA+ individuals with non-specific musculoskeletal pain may be useful in predicting progression to inflammatory arthritis. Disclosure of Interest: L. Hunt: None Declared, J. Nam: None Declared, C. Rakieh: None Declared, P. Emery Consultant for: Abbott, BMS, Chugai, MSD, Pfizer, Roche, UCB., F. Ponchel: None Declared … (more)
- Is Part Of:
- Annals of the rheumatic diseases. Volume 72:Supplement 3(2013)
- Journal:
- Annals of the rheumatic diseases
- Issue:
- Volume 72:Supplement 3(2013)
- Issue Display:
- Volume 72, Issue 3 (2013)
- Year:
- 2013
- Volume:
- 72
- Issue:
- 3
- Issue Sort Value:
- 2013-0072-0003-0000
- Page Start:
- A175
- Page End:
- A175
- Publication Date:
- 2014-01-23
- Subjects:
- Rheumatism -- Periodicals
616.723005 - Journal URLs:
- http://ard.bmjjournals.com/ ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=149&action=archive ↗
http://www.bmj.com/archive ↗
http://gateway.ovid.com/server3/ovidweb.cgi?T=JS&MODE=ovid&D=ovft&PAGE=titles&SEARCH=annals+of+the+rheumatic+diseases.tj&NEWS=N ↗ - DOI:
- 10.1136/annrheumdis-2013-eular.560 ↗
- Languages:
- English
- ISSNs:
- 0003-4967
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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