| Literature DB >> 32679193 |
Anna-Maria Globig1, Nikola Patricia Sommer2, Katharina Wild2, Josefine Schardey2, Katharina Zoldan2, Anne Kerstin Thomann3, Lucas-Alexander Schulte4, Rupert Schreiner5, Wolfgang Reindl3, Jochen Klaus4, Christoph Mathis Schempp6, Maike Hofmann2, Robert Thimme2, Tobias Boettler2, Peter Hasselblatt7.
Abstract
BACKGROUND & AIMS: The pathogenesis of chronic inflammatory bowel diseases (Crohn's disease [CD] and ulcerative colitis) involves dysregulated TH1 and TH17 cell responses, which can be targeted therapeutically by the monoclonal antibody Ustekinumab directed against the joint p40 subunit of IL-12 and IL-23. These cytokines may also regulate the differentiation of T follicular helper (TFH) cells, which promote B cell function in germinal centers. However, the role of TFH cells in CD pathogenesis and impact of Ustekinumab therapy on TFH cell fate in patients are poorly defined.Entities:
Keywords: Crohn’s Disease; IBD; T Follicular Helper Cell; TFH; UST; Ustekinumab
Mesh:
Substances:
Year: 2020 PMID: 32679193 PMCID: PMC7593584 DOI: 10.1016/j.jcmgh.2020.07.005
Source DB: PubMed Journal: Cell Mol Gastroenterol Hepatol ISSN: 2352-345X
Figure 1TFH cell frequencies correlate with CD activity. (A) TFH cell frequencies in ileal biopsies of CD patients (n = 15) were significantly increased in patients with active inflammation (Simple Endoscopic Score for Crohn’s Disease [SES-CD] ≥3 points) as compared with patients in endoscopic remission (SES-CD ≤2 points). Mann-Whitney test was used to test for statistical significance. (B) Patients with active inflammation (stool calprotectin >200 mg/kg; n = 11) showed significantly higher TFH cell frequencies in the peripheral blood compared with patients in remission (stool calprotectin <200 mg/kg; n = 7). Mann-Whitney test was used to test for statistical significance. Note that this cohort contained patients with both ileal and colonic CD manifestations. (C) Representative flow cytometry plot of TFH cells isolated from a lymph node (LN), the ileum, and the peripheral blood of a CD patient. (D) Representative histograms of phenotypic and functional TFH markers gated on non-naïve CD4+ T cells, CXCR5+ CD4+ T cells, CXCR5+ PD-1+ CD4+ T cells, and CXCR5+ PD-1 high CD4+ T cells isolated from the peripheral blood of a CD patient. (E) CXCR5+ PD-1 high CD4+ T cells from the peripheral blood of CD patients show increased expression of TFH cell activity markers (n = 43) and increased IL-21 production (n = 42) compared with broader TFH definitions (CXCR5+ PD-1+ CD4+ T cells; CXCR5+ CD4+ T cells) and non-naïve CD4+ T cells. Expression after z-score transformation is depicted. TFH cell frequencies are shown as percentage of non-naïve CD4+ T cells.
Figure 2Response to UST therapy is associated with reduced TFH cell frequencies in CD patients in a concentration-dependent manner. (A) CD patients treated with UST (n = 23) or anti-TNF therapy (aTNF) (n = 21) as well as healthy donors (HD) (n = 22) demonstrate similar TFH cell frequencies in the peripheral blood. Patients were matched for age and gender. Kruskal-Wallis test and Dunn’s multiple comparisons test were used to test for statistical significance. (B) UST-treated CD patients with high UST plasma concentrations (n = 7) show significantly lower TFH cell frequencies compared with CD patients with lower UST plasma concentrations (n = 14). Mann-Whitney test was used to test for statistical significance. (C) Longitudinal analysis of blood samples collected before initiation of therapy and during therapy was performed. TFH cell frequencies significantly decreased in clinical responders to UST (R) (n = 10) following initiation of therapy. This effect was absent in nonresponders (NR) (n = 6). Wilcoxon matched-pairs test was used to test for statistical significance. (D) Responders to UST therapy (n = 14) show lower TFH cell frequencies in the peripheral blood compared with nonresponders (n = 9). This effect is absent in aTNF-treated patients (R: n = 10; NR: n = 11). Mann-Whitney test was used to test for statistically significant differences. TFH cell frequencies are shown as percentage of non-naïve CD4+ T cells.
Characteristics of Patients Recruited Into the Study
| UST (n = 23) | TNF (n = 21) | HD (n = 22) | ||
|---|---|---|---|---|
| Patients included in longitudinal analysis | 17 | — | — | — |
| Age, y | 35.1 ± 10.7 | 35.38 ± 9.0 | 34.8 ± 10.9 | — |
| Female | 16 (70) | 15 (71) | 15 (68) | — |
| HBI | 6.7 ± 9.1 | 4 ± 3.9 | — | .4 |
| C-reactive protein, mg/L | 23 ± 38 | 26 ± 77 | — | .14 |
| Leukocytes, ×103/μL | 8.9 ± 2.3 | 9.3 ± 4.1 | — | .9 |
| Current therapy with prednisone | 2 (9) | 0 (0) | — | — |
| Current therapy with budesonide | 1 (4) | 1 (5) | — | — |
| Previous therapy with azathioprine | 18 (76) | 16 (76) | — | — |
| Previous therapy with MTX | 7 (30) | 2 (10) | — | — |
| Previous therapy with 6-mercaptopurine | 2 (9) | 1 (5) | — | — |
| Previous therapy with mesalamine | 12 (52) | 4 (19) | — | — |
| Previous therapy with 1 anti-TNF-AB | 9 (39) | 5 (24) | — | — |
| Previous therapy with 2 anti-TNF-AB | 12 (52) | 0 (0) | — | — |
| Previous therapy with 3 anti TNF-AB | 2 (9) | 0 (0) | — | — |
| Previous therapy with vedolizumab | 4 (17) | 1(5) | — | — |
| Stricturing disease | 13 (57) | 11 (58) | — | — |
| Penetrating disease | 10 (43) | 8 (41) | — | — |
| Previous CD-related surgery | 15 (65) | 11 (58) | — | — |
| Clinical responders | 14 (61) | 10 (48) | — | — |
Values are mean ± SD or n (%). Markers of disease activity and inflammation between UST and anti-TNF–treated patients were analyzed by Mann-Whitney test.
AB, antibody; CD, Crohn’s disease; HBI, Harvey-Bradshaw Index; HD, healthy donor; MTX, methotrexate; TNF, tumor necrosis factor; UST, ustekinumab.
Inflammation Markers in UST-Treated CD Patients
| UST <4 mg/L (n = 14) | UST >4 mg/L (n = 7) | ||
|---|---|---|---|
| HBI | 6.5 ± 7.7 | 7 ± 12.7 | .3 |
| C-reactive protein, mg/L | 17 ± 17 | 34 ± 60 | .65 |
| Leukocytes, ×103/μL | 8.9 ± 2.7 | 8.7 ± 1.9 | >.9 |
Values are mean ± SD.
CD, Crohn’s disease; HBI, Harvey-Bradshaw Index; UST, ustekinumab.
Figure 3UST therapy does not affect the TFH cell phenotype in vivo. (Left panels) Expression of the TFH activation markers (A) OX40, (B) CD38, and (C) ICOS, as well as (D) IL-21 production by TFHs was analyzed in responders (R) and nonresponders (NR) to UST (n = 13 and n = 8–9, respectively) or TNF inhibitors (aTNF) (n = 10 and n = 11, respectively). (Right panels) Expression of these markers was also assessed before and during therapy with UST (n = 9-10) or aTNF (n = 5–6). Wilcoxon test or Mann-Whitney tests were used as appropriate and P values are indicated.
Figure 4UST significantly inhibits the differentiation of TFH cells in vitro and affects germinal center activity in vivo. (A, B) Representative flow cytometry plot and bar graph demonstrate inhibition of IL-12–/TGFβ-driven TFH differentiation by UST (n = 16). (C) Ustekinumab does not influence TFH cell maintenance in vitro (n = 5–6). TFH cell frequencies were normalized to untreated control patients. Friedman test and Dunn’s multiple comparisons test were used to test for statistical significance. (D) Elevated germinal center activity decreases following initiation of UST therapy. Germinal center activity was assessed by plasma CXCL13 concentrations in CD patients (>100 pg/mL: n = 9; <100 pg/mL: n = 18). Wilcoxon matched-pairs test was used to test for statistical significance. TFH cell frequencies are shown as percentage of non-naïve CD4+ T cells.
Antibodies Used for Multiparametric Flow Cytometric Analysis
| Antibody (Clone) | Dilution | Manufacturer |
|---|---|---|
| Anti-CCR7-BV421 (150503) | 1:33.33 | BD Biosciences, Germany |
| Anti-CD38-BUV737 (HB7) | 1:200 | BD Biosciences, Germany |
| Anti-ICOS-BV711 (DX29) | 1:100 | BD Biosciences, Germany |
| Anti-PD-1-BV786 (EH12.1) | 1:33.33 | BD Biosciences, Germany |
| Anti-CD4-FITC (RPA-T4) | 1:33.33 | BD Biosciences, Germany |
| Anti-CD45RA-PE (HI100) | 1:200 | BD Biosciences, Germany |
| Anti-CD134(OX40)-PE-Cy7 (ACT-35) | 1:33.33 | BD Biosciences, Germany |
| Anti-CXCR5-APC (J252D4) | 1:200 | BioLegend, United Kingdom |
| Anti-fixable viability dye-eF780 | 1:5000 | eBioscience, Germany |
| Anti-CD14-eF780 (61D3) | 1:100 | eBioscience, Germany |
| Anti-CD19-eF780 (HIB19) | 1:100 | eBioscience, Germany |
| Anti-CD4-BB515 (SK3) | 1:200 | BD Biosciences, Germany |
| Anti-IL-17-PE (eBio46DEC17) | 1:50 | eBioscience, Germany |
| Anti-CD4-BV510 (SK3) | 1:10 | BD Biosciences, Germany |
| Anti-PD-1-PerCPeFlour710 (eBioJ105) | 1:20 | eBioscience, Germany |
| Anti-CXCR5-BV421(J252D4) | 1:20 | BioLegend, United Kingdom |
Figure 5Gating strategy for analysis of multiparametric flow cytometry staining is depicted.