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Letter to the Editor| Volume 138, ISSUE 12, P2669-2672, December 2018

Proportion of CD4+CD49b+LAG-3+ Type 1 Regulatory T Cells in the Blood of Psoriasis Patients Inversely Correlates with Psoriasis Area and Severity Index

Open ArchivePublished:June 08, 2018DOI:https://doi.org/10.1016/j.jid.2018.05.021

      Abbreviations:

      DAPI (4',6-diamidino-2-phenylindole), PASI (Psoriasis Area and Severity Index), SEM (standard error of the mean), Tr1 (type 1 regulatory T cell), Th17 cell (T helper type 17 cell), Treg cells (regulatory T cells)
      To the Editor
      Psoriasis skin lesions are created through chronic T-cell activation and expansion of autoreactive, skin resident αβ T helper type 17 (Th17) cell clones (
      • Matos T.R.
      • O’Malley J.T.
      • Lowry E.L.
      • Hamm D.
      • Kirsch I.R.
      • Robins H.S.
      • et al.
      Clinically resolved psoriatic lesions contain psoriasis-specific IL-17-producing αβ T cell clones.
      ), suggesting a defect in normal tolerance mechanisms. A previous study determined that although psoriasis patients have normal numbers of circulating regulatory T (Treg) cells (CD4+CD25+Foxp3+ T cells), psoriatic Treg cells were less effective at suppressing alloreactive T cells compared with Treg cells from healthy individuals (
      • Bovenschen H.J.
      • Van De Kerkhof P.C.
      • Van Erp P.E.
      • Woestenenk R.
      • Joosten I.
      • Koenen H.J.
      Foxp3+ regulatory T cells of psoriasis patients easily differentiate into IL-17A-producing cells and are found in lesional skin.
      ,
      • de Boer O.J.
      • van der Loos C.M.
      • Teeling P.
      • van der Wal A.C.
      • Teunissen M.B.
      Immunohistochemical analysis of regulatory T cell markers FOXP3 and GITR on CD4+CD25+ T cells in normal skin and inflammatory dermatoses.
      ,
      • Sugiyama H.
      • Gyulai R.
      • Toichi E.
      • Garaczi E.
      • Shimada S.
      • Stevens S.R.
      • et al.
      Dysfunctional blood and target tissue CD4+CD25high regulatory T cells in psoriasis: mechanism underlying unrestrained pathogenic effector T cell proliferation.
      ).
      Psoriasis lesions have lower expression of immune checkpoint molecules than a resolving cutaneous delayed-type hypersensitivity reaction (
      • Gulati N.
      • Suarez-Farinas M.
      • Correa da Rosa J.
      • Krueger J.G.
      Psoriasis is characterized by deficient negative immune regulation compared to transient delayed-type hypersensitivity reactions.
      ), and immune checkpoints can be delivered by Foxp3+ Treg cells as well as Foxp3 cells, including type 1 regulatory T cells (Tr1 cells) (
      • Gagliani N.
      • Magnani C.F.
      • Huber S.
      • Gianolini M.E.
      • Pala M.
      • Licona-Limon P.
      • et al.
      Coexpression of CD49b and LAG-3 identifies human and mouse T regulatory type 1 cells.
      ,
      • Yao Y.
      • Vent-Schmidt J.
      • McGeough M.D.
      • Wong M.
      • Hoffman H.M.
      • Steiner T.S.
      • et al.
      Tr1 Cells, but not Foxp3+ regulatory T cells, suppress NLRP3 inflammasome activation via an IL-10–dependent mechanism.
      ). Tr1 cells are IL-10–producing T cells implicated as key regulators of peripheral immune tolerance, and there have been studies speculating the role of Tr1 cells in psoriasis.
      • Antiga E.
      • Volpi W.
      • Cardilicchia E.
      • Maggi L.
      • Filì L.
      • Manuelli C.
      • et al.
      Etanercept downregulates the Th17 pathway and decreases the IL-17+/IL-10+ cell ratio in patients with psoriasis vulgaris.
      reported that etanercept treatment of psoriasis augments the proportion of IL-10–producing CD4+ cells in the psoriasis skin, and
      • Mavropoulos A.
      • Varna A.
      • Zafiriou E.
      • Liaskos C.
      • Alexiou I.
      • Roussaki-Schulze A.
      • et al.
      IL-10 producing Bregs are impaired in psoriatic arthritis and psoriasis and inversely correlate with IL-17-and IFNγ-producing T cells.
      reported that IL-10–producing regulatory B cells are impaired in psoriasis and inversely correlate with IL-17– and IFN-γ–producing T cells.
      However, it has been challenging to identify psoriasis patients’ Tr1 cells by detecting IL-10 with flow cytometry intracellular staining, because Tr1 cells produce IL-10 only after in vitro re-stimulation (
      • Bacchetta R.
      • Bigler M.
      • Touraine J.-L.
      • Parkman R.
      • Tovo P.-A.
      • Abrams J.
      • et al.
      High levels of interleukin 10 production in vivo are associated with tolerance in SCID patients transplanted with HLA mismatched hematopoietic stem cells.
      ,
      • De Marquesini L.P.
      • Fu J.
      • Connor K.
      • Bishop A.J.
      • McLintock N.
      • Pope C.
      • et al.
      IFN-γ and IL-10 islet-antigen-specific T cell responses in autoantibody-negative first-degree relatives of patients with type 1 diabetes.
      ,
      • Meiler F.
      • Zumkehr J.
      • Klunker S.
      • Rückert B.
      • Akdis C.A.
      • Akdis M.
      In vivo switch to IL-10–secreting T regulatory cells in high dose allergen exposure.
      ,
      • Sanda S.
      • Roep B.O.
      • von Herrath M.
      Islet antigen specific IL-10+ immune responses but not CD4+ CD25+ FoxP3+ cells at diagnosis predict glycemic control in type 1 diabetes.
      ), and pathogen-induced human Th17 cells can also produce IL-10 (
      • Zielinski C.E.
      • Mele F.
      • Aschenbrenner D.
      • Jarrossay D.
      • Ronchi F.
      • Gattorno M.
      • et al.
      Pathogen-induced human TH17 cells produce IFN-γ or IL-10 and are regulated by IL-1β.
      ). Moreover, intracellular flow cytometric analysis of IL-10 expression is insensitive and highly variable according to the type of stimuli (
      • Gagliani N.
      • Magnani C.F.
      • Huber S.
      • Gianolini M.E.
      • Pala M.
      • Licona-Limon P.
      • et al.
      Coexpression of CD49b and LAG-3 identifies human and mouse T regulatory type 1 cells.
      ).
      Recently
      • Gagliani N.
      • Magnani C.F.
      • Huber S.
      • Gianolini M.E.
      • Pala M.
      • Licona-Limon P.
      • et al.
      Coexpression of CD49b and LAG-3 identifies human and mouse T regulatory type 1 cells.
      have shown that surface expression of the markers CD49b and LAG-3 is sufficient to identify Tr1 cells in both murine and human T cells. Gagliani et al. performed genomic profiling and suppressive functional studies of FACS-sorted CD49b+ LAG-3+ T cells in mouse and human, which showed that CD4+CD49b+LAG-3+ T cells secrete large amounts of IL-10 with strong IL-10–dependent suppressive activity, whereas FoxP3 and IL-17 are expressed at low levels (
      • Gagliani N.
      • Magnani C.F.
      • Huber S.
      • Gianolini M.E.
      • Pala M.
      • Licona-Limon P.
      • et al.
      Coexpression of CD49b and LAG-3 identifies human and mouse T regulatory type 1 cells.
      ). Based on Gagliani et al.’s established functional studies, we tested if Tr1 cells, defined by surface markers of CD4+CD49b+LAG-3+, have clinical impacts on psoriasis patients.
      We analyzed 12 human blood samples from patients with psoriasis and eight healthy human blood samples to compare Tr1 cell, Treg cell, and activated T cells between patients with psoriasis and healthy individuals (see Supplementary Materials and Methods online). We defined Tr1 cells as CD3+CD4+CD8CD49b+LAG-3+ T cells, Treg cells as CD3+CD4+CD8CD25+CD127 cells, and activated T cells as CD3+CD4+CD8CD69+ cells. We performed flow cytometry analysis of whole blood and measured proportions of these CD3+CD4+CD8 T-cell subsets (Figure 1, and see Supplementary Figures S1 and S2 online). The study protocol was approved by the Rockefeller University institutional review board. Written informed consent was obtained from each patient or healthy participant before enrolment.
      Figure thumbnail gr1
      Figure 1Flow cytometric gating strategies. CD3+CD4+CD8 circulating T cells are subclassified into Tr1 cells (CD49b+LAG-3+ subset), Treg cells (CD25+CD127subset), and activated T cells (CD69+ subset). Representative flow cytometry data from healthy control. FSC, forward scatter; Tr1 cell, type 1 regulatory T cell; Treg cell, regulatory T cell.
      The proportion of activated (CD69+) T cells in CD3+CD4+ T cells was significantly higher in patients with psoriasis (mean ± standard error of the mean [SEM] = 0.42 ± 0.06%) compared with healthy participants (mean ± SEM = 0.16 ± 0.07%) (P = 0.015) (Figure 2a). In contrast, the proportion of Tr1 (CD49b+LAG-3+) cells in CD3+CD4+ T cells was significantly lower in patients with psoriasis (mean ± SEM = 0.18 ± 0.03%) compared with healthy participants (mean ± SEM = 0.51 ± 0.04%) (P < 0.001). The proportion of Treg (CD25+CD127) cells tended to be lower in patients with psoriasis (mean ± SEM = 3.01 ± 0.43%) compared with healthy participants (mean ± SEM = 4.09 ± 0.53%), but the difference was not statistically significant (P = 0.132).
      Figure thumbnail gr2
      Figure 2Tr1 (CD49b+LAG-3+) cells, Treg (CD25+CD127) cells, and activated (CD69+) T cells in the blood of patients with psoriasis versus healthy participants. (a) Comparison of the subset proportions between patients with psoriasis and healthy participants. (b) Correlations between the subset proportions and Psoriasis Area and Severity Index (PASI) (ρ = Spearman’s rank correlation coefficient). (c) Representative four-color wide-field fluorescence microscopy images of psoriasis nonlesional skin for DAPI (blue), CD4 (green), CD49b (red), and LAG-3 (magenta) staining. Tr1 cell (DAPI+CD4+CD49b+LAG-3+, white) is identified in the dermis of psoriasis nonlesional skin. Scale bar = 100 μm. Tr1 cell, type 1 regulatory T cell; Treg cell, regulatory T cell. DAPI, 4',6-diamidino-2-phenylindole.
      The proportion of activated (CD69+) T cells in CD3+CD4+ T cells was positively correlated with Psoriasis Area Severity Index (PASI) (Spearman rank correlation coefficient [ρ] = 0.65, P = 0.002) (Figure 2b). In contrast, the proportion of Tr1 (CD49b+LAG-3+) cells in CD3+CD4+ T cells was inversely correlated with PASI (ρ = –0.63, P = 0.002). The proportion of Treg (CD25+CD127) cells tended to be inversely correlated with PASI, but the correlation was not statistically significant (ρ = –0.35, P = 0.127).
      Next, we studied 20 psoriasis lesional skin, 10 psoriasis nonlesional skin, and 5 normal control skin samples with four-color wide-field fluorescence microscopy and searched for quadruple-stained cells with 4',6-diamidino-2-phenylindole (DAPI) (blue), CD4 (green), CD49b (red), and LAG-3 (magenta). Psoriasis lesional skin showed abundant DAPI+CD4+ T cells in the dermis, but DAPI+CD4+CD49b+LAG-3+ Tr1 cells were not identified (0/20) (see Supplementary Figure S3 online). In contrast, psoriasis nonlesional skin and normal control skin showed only a few DAPI+CD4+ T cells in the dermis. In psoriasis nonlesional skin, DAPI+CD4+CD49b+LAG-3+ Tr1 cells were identified in 6 of 10 samples (Figure 2c). DAPI+CD4+CD49b+LAG-3+ Tr1 cells were not identified in normal skin (0/5) (see Supplementary Figure S4 online).
      Our study findings provide preliminary data for further investigation of Tr1 cells in psoriasis with surface markers of CD49b and LAG-3, suggesting a potential role of Tr1 cells in the psoriasis immune mechanism. The proportion of Tr1 cells was decreased in psoriasis patients compared with healthy individuals, and the proportion of Tr1 cells decreased as PASI increased. In addition, Tr1 cells were identified in psoriasis nonlesional skin but not in lesional skin, despite the large increase of T cells in active lesions.
      Therefore, we suggest that Tr1 cells, defined by surface markers of CD4+CD49b+LAG-3+, have potential roles in psoriasis pathogenesis. Decreased proportion of Tr1 cells in the blood of psoriasis patients may allow for excess expansion of psoriasis disease-related T cells in either lymph nodes or cutaneous compartments and thus to disease progression. This hypothesis requires further mechanistic studies investigating the cross-talk between Tr1 cells and Th17 cells in the blood and skin of psoriasis human and animal models.

      Conflict of Interest

      James G. Krueger has been a consultant and has received grants and honoraria from Novartis, Pfizer, Janssen, Lilly, Kadmon, Dermira, Boehringer, BMS, Paraxel, Kineta, Leo Pharma, Amgen, Innovaderm, Vitae, Provectus, Merck, Serono, Biogenldec, Delenex, AbbVie, Sanofi, Baxter, and Xenoport.

      Author Contributions

      JK designed the study, performed flow cytometry experiments, analyzed bioinformatics data, and co-wrote the paper. JL performed flow cytometry assays and analysis. JG supervised flow cytometry, assays, and analysis. JF-D supervised and performed immunofluorescence studies. SG analyzed bioinformatics data. JGK designed the study and co-wrote the paper.

      Supplementary Material

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