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Abstract Number: 994

Th17/Tfh Cell Predict Disease Severity in Rheumatoid Arthritis Patients Receiving TNF Inhibitor Therapy

Deepika Singh1, Matthew Henkel2, Juan (June) Feng3, Jason Lyons4, Heather Eng5, Larry W. Moreland6 and Mandy J. McGeachy2, 1Rheumatology, Children's Hospital of Pittsburgh, Pittsburgh, PA, 2Medicine, University of Pittsburgh, Pittsburgh, PA, 3Epidemiology Data Center, University of Pittsburgh, Graduate School of Public Health, Pittsburgh, PA, 4School of Public Health, Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, 5Epidemiology, Univ of Pittsburgh, Pittsburgh, PA, 6Rheumatology & Clinical Immunology, University of Pittsburgh, Pittsburgh, PA

Meeting: 2015 ACR/ARHP Annual Meeting

Date of first publication: September 29, 2015

Keywords: Biologic agents, T cells and rheumatoid arthritis (RA)

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Session Information

Date: Sunday, November 8, 2015

Title: T cell Biology and Targets in Autoimmune Disease I

Session Type: ACR Concurrent Abstract Session

Session Time: 2:30PM-4:00PM

Background/Purpose: In autoimmunity, T follicular helper cells (TfH) are considered drivers of autoantibody production, and T helper 17 (Th17) cells are implicated in tissue-specific inflammation. In juvenile dermatomyositis patients, the Ueno lab showed that the ratio of TfH cells expressing markers of Th17 cells was increased relative to Th1, and this Th17/TfH ratio correlated with disease activity. Although patients with rheumatoid arthritis (RA) feature joint-specific inflammation and autoantibody production, TfH cell subsets have not been well-studied in context of disease activity or therapy. 

Methods: We identified seropositive RA patients receiving stable TNF inhibitor (TNFi) therapy (n = 26) or non-biologic DMARDs (n = 35), who were enrolled in the RA Comparative Effectiveness Research (RACER) registry at University of Pittsburgh. Treatment groups were matched for age, gender, ethnicity, concomitant DMARD and steroid use. 8 healthy controls were also enrolled. A second cohort of 6 subjects were identified who showed a good response following initiation of TNFi. PBMC were isolated and CD4+CD45RO+ T cell subsets analyzed by flow cytometry using chemokine receptors as functional subset markers. 

Results: There were no significant differences in blood memory cell frequency between RA and healthy controls. Total Th1 (CXCR3+) and TfH (CXCR5+) cells did not differ between RA treatment groups or controls. However, the proportion of TfH cells that co-expressed the Th17 marker CCR6 (termed Th17/TfH) was increased compared to healthy controls (p = 0.044, t-test). Surprisingly, Th17/TfH cell negatively correlated with disease activity in the TNFi group, as assessed by CDAI (Spearman r = -0.72, p = 0.0001) and DAS28crp (r = -0.6844, p = 0.0001). However, no correlation between disease activity and Th17/TfH cells was observed in patients receiving non-biologic DMARD therapy (r = 0.175, p = 0.25 for CDAI; r = 0.059, p = 0.745 for DAS28crp). While CXCR3-expressing Th1/TfH cells showed a trend towards being decreased in RA subjects, Th1/TfH cells did not correlate with disease activity in either treatment group. Analysis of longitudinal samples from TNFi subjects showed strong correlations between visits for Th17/TfH cell frequencies (r = 0.818, p = 0.006). To confirm these cross-sectional results, we analyzed a second longitundinal cohort (n = 6) of subjects initiating TNFi therapy and showing a subsequent good clinical response. Indeed, Th17/TfH cell frequencies remained stable after TNFi therapy (r = 0.943, p = 0.017). 

Conclusion: Th17/TfH cells correlate with disease activity in RA subjects receiving TNFi, but not DMARDS alone. Th17/TfH frequencies remained remarkably stable over time for each individual. These data indicate that Th17/TfH cells are not directly affected by TNFi, but rather that proportions of these cells serve as a predictor of future disease severity for patients receiving TNFi therapy. Hence different levels of Th17/TfH cell contribution to RA pathogenesis in individuals could be one factor underpinning the clinical problem of heterogeneity in RA therapy responses.


Disclosure: D. Singh, None; M. Henkel, None; J. Feng, None; J. Lyons, None; H. Eng, None; L. W. Moreland, None; M. J. McGeachy, None.

To cite this abstract in AMA style:

Singh D, Henkel M, Feng J, Lyons J, Eng H, Moreland LW, McGeachy MJ. Th17/Tfh Cell Predict Disease Severity in Rheumatoid Arthritis Patients Receiving TNF Inhibitor Therapy [abstract]. Arthritis Rheumatol. 2015; 67 (suppl 10). https://acrabstracts.org/abstract/th17tfh-cell-predict-disease-severity-in-rheumatoid-arthritis-patients-receiving-tnf-inhibitor-therapy/. Accessed .
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