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Increased Frequency of TIGIT+ CD4 T Cell Subset in Autoantibody-positive First-degree Relatives of Patients with Rheumatoid Arthritis

Overview
Journal Front Immunol
Date 2022 Aug 15
PMID 35967356
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Abstract

Background: Despite immune cell dysregulation being an important event preceding the onset of rheumatoid arthritis (RA), the phenotype of T and B cells in preclinical RA is less understood. The aim of this study was to characterize T and B cell populations in RA patients and their autoantibody (aAb) negative and positive first-degree relatives (FDR).

Methods: Cryopreserved peripheral blood mononuclear cells (PBMCs) collected at scheduled visits from aAb-(n=25), and aAb+ FDR (n=10) and RA patients (n=13) were thawed and stained using optimized antibody cocktails as per a specific 13-color T or B cell panel. Immunophenotyping was performed using a Cytoflex LX (Beckman-Coulter) flow cytometer and FlowJo software was used for analyzing the frequency of immune cell populations.

Results: Multicolor flow cytometry experiments identified an increased TIGIT expression in circulating lymphocytes of aAb+ FDR and RA patients, relative to aAb- FDR (P<0.01). These TIGIT T cells exhibited a memory phenotype and expressed high levels of PD-1, ICOS, HLA-DR, CXCR3 and CXCR5. Moreover, increased TIGIT CD4 T cell frequency correlated with the frequency of PD-1 CD4 T cells (r = 0.4705: = 0.0043) and circulating levels of ACPA and RF. We also identified a decreased frequency of CD27+IgD- switched memory B cells in RA patients ( < 0.01), while increased frequency of TIGIT+ CD4 T cells in FDR correlated with the frequency of PD1PTEN B cells (r = 0.6838, = 0.0004) and autoantibody positivity ( = 0.01).

Conclusion: We demonstrate TIGIT as a distinct CD4 T cell marker for differentiating aAb- FDR from aAb+FDR and might play a critical role in regulating T and B cell crosstalk in preclinical RA.

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References
1.
Hunt L, Hensor E, Nam J, Burska A, Parmar R, Emery P . T cell subsets: an immunological biomarker to predict progression to clinical arthritis in ACPA-positive individuals. Ann Rheum Dis. 2016; 75(10):1884-9. PMC: 5036223. DOI: 10.1136/annrheumdis-2015-207991. View

2.
Haville S, Deane K . Pre-RA: Can early diagnosis lead to prevention?. Best Pract Res Clin Rheumatol. 2022; 36(1):101737. PMC: 8977282. DOI: 10.1016/j.berh.2021.101737. View

3.
Godefroy E, Zhong H, Pham P, Friedman D, Yazdanbakhsh K . TIGIT-positive circulating follicular helper T cells display robust B-cell help functions: potential role in sickle cell alloimmunization. Haematologica. 2015; 100(11):1415-25. PMC: 4825309. DOI: 10.3324/haematol.2015.132738. View

4.
Fletez-Brant K, Spidlen J, Brinkman R, Roederer M, Chattopadhyay P . flowClean: Automated identification and removal of fluorescence anomalies in flow cytometry data. Cytometry A. 2016; 89(5):461-71. PMC: 5522377. DOI: 10.1002/cyto.a.22837. View

5.
Anaparti V, Smolik I, Meng X, ONeil L, Jantz M, Fritzler M . Expansion of Alternative Autoantibodies Does Not Follow the Evolution of Anti-Citrullinated Protein Antibodies in Preclinical Rheumatoid Arthritis: An Analysis in At-Risk First Degree Relatives. Arthritis Rheumatol. 2021; 73(5):740-749. DOI: 10.1002/art.41675. View