| Literature DB >> 35572572 |
Sakhila Ghimire1, Katharina U Ederer2, Elisabeth Meedt1, Daniela Weber1, Carina Matos1, Andreas Hiergeist2, Florian Zeman3, Daniel Wolff1, Matthias Edinger1,4, Hendrik Poeck1,4, Wolfgang Herr1, André Gessner2, Ernst Holler1, Sigrid Bülow2.
Abstract
The role of IL-22 in adult patients undergoing allogeneic stem cell transplantation (SCT) is of major interest since animal studies showed a protective and regenerative effect of IL-22 in graft versus host disease (GvHD). However, no clinical data exist on the tissue expression. Here we demonstrate that patients not suffering from transplant-related mortality (TRM) show significantly upregulated IL22 expression during histological and clinical GI-GvHD (p = 0.048 and p = 0.022, respectively). In contrast, in GvHD patients suffering from TRM, IL22 was significantly lower (p = 0.007). Accordingly, lower IL22 was associated with a higher probability of TRM in survival analysis (p = 0.005). In a multivariable competing risk Cox regression analysis, low IL22 was identified as an independent risk factor for TRM (p = 0.007, hazard ratio 2.72, 95% CI 1.32 to 5.61). The expression of IL22 seemed to be microbiota dependent as broad-spectrum antibiotics significantly diminished IL22 expression (p = 0.019). Furthermore, IL22 expression significantly correlated with G-protein coupled receptor (GPR)43 (r = 0.263, p = 0.015) and GPR41 expression (r = 0.284, p = 0.009). In conclusion, our findings reveal an essential role of IL-22 for the prognosis of patients undergoing allogeneic SCT.Entities:
Keywords: GPR41; GPR43; GvHD; IL22; TRM; allogeneic SCT; antibiotics
Mesh:
Year: 2022 PMID: 35572572 PMCID: PMC9103485 DOI: 10.3389/fimmu.2022.857400
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 8.786
Summary of patient characteristics.
| Characteristics | mean | (range) | |
|---|---|---|---|
| Patients (N = 118) | 53 | (20-69) | |
| male | 66 | 55.9 | |
| female | 52 | 44.1 | |
| Acute leukemia | 67 | 56.8 | |
| Myelodysplastic syndrome | 14 | 11.9 | |
| Myeloproliferative syndrome | 7 | 5.9 | |
| Lymphoma | 30 | 25.4 | |
| Early | 34 | 28.8 | |
| Intermediate | 44 | 37.3 | |
| Advanced | 40 | 33.9 | |
| Unrelated donor | 74 | 62.7 | |
| Sibling | 38 | 32.2 | |
| Haploidentical donor | 6 | 5.1 | |
| PBSC | 110 | 93.2 | |
| BM | 8 | 6.8 | |
| Reduced intensity | 104 | 88.1 | |
| Standard | 14 | 11.9 | |
| CyA/MTX | 96 | 81.4 | |
| CyA/MMF | 13 | 11.0 | |
| Tacro/MMF | 3 | 2.5 | |
| PostTxCy/Tacro/MMF | 6 | 5.1 | |
| No GvHD | 60 | 50.8 | |
| Stage 1 | 32 | 27.1 | |
| Stage 2 | 11 | 9.3 | |
| Stage 3 | 8 | 6.8 | |
| Stage 4 | 7 | 5.9 | |
| No GvHD | 56 | 47.4 | |
| Grade 1 | 36 | 30.5 | |
| Grade 2 | 11 | 9.3 | |
| Grade 3 | 9 | 7.6 | |
| Grade 4 | 6 | 5.1 | |
PBSC, peripheral blood stem cells; BM, bone marrow; CyA, cyclosporin; MTX, methotrexate; MMF, mycophenolate mofetil; Tacro, tacrolimus; PostTxCy, post-transplant cyclophosphamide.
Cause of death compounded as TRM.
| Cause of Death (COD) | Frequency | % |
|---|---|---|
| Infection and GvHD | 12 | 33.4 |
| Infection | 10 | 27.8 |
| GvHD | 7 | 19.4 |
| Toxicity | 4 | 11.1 |
| Infection and graft failure | 2 | 5.5 |
| Secondary malignancy | 1 | 2.8 |
| Total | 36 | 100 |
Figure 1IL22 expression in dependence of GvHD and TRM. Patients were grouped according to absence or presence of TRM. IL22 gene expression normalized to 18s rRNA was measured. (A) Expression of IL22 in patients during histological GI-GvHD (no TRM: n = 82, TRM: n = 36). (B) Expression of IL22 in patients without and during clinical onset of GvHD (no TRM: n = 78, TRM: n = 27). Box plot diagrams depict median, upper, and lower quartiles and whiskers indicate minimal and maximal values. Negative values were set to 0.1. Statistical testing was performed using Mann-Whitney U test. ns, not significant.
Figure 2IL22 expression with respect to TRM. (A) IL22 gene expression in patients grouped according to absence or presence of TRM without further subgrouping (non-TRM: n = 82, TRM: n = 36). IL22 gene expression was normalized to 18s rRNA. Box plot diagrams depict median, upper, and lower quartiles and whiskers indicate minimal and maximal values. Negative values were set to 0.1. Statistical testing was performed using Mann-Whitney U test. (B) Association of IL22 with cumulative incidence function estimates for competing risk data. Patients were dichotomized in accordance to high (red line) and low expression (blue line) of IL22 based on Youden index. The cumulative risk of TRM and RRM in dependence of the months after biopsy is shown.
Multivariable Cox regression analysis for TRM.
| Risk factors | P value | HR | 95% CI for HR |
|---|---|---|---|
| Low | 0.007 | 2.72 | 1.32 – 5.61 |
| Grade 2-4 GI-GvHD (n = 25) | 0.010 | 3.12 | 1.32 – 7.39 |
| Patient’s age (> 50 years, n = 75) | 0.140 | 1.93 | 0.80 – 4.66 |
| Steroid (n = 59) | 0.170 | 1.81 | 0.77 – 4.26 |
| Broad spectrum antibiotics (n = 48) | 0.340 | 1.40 | 0.71 – 2.78 |
| Conditioning (Standard, n = 13) | 0.470 | 1.41 | 0.55 – 3.61 |
| Donor (MUD, n = 68) | 0.750 | 0.88 | 0.42 – 1.88 |
| Stage of underlying disease (advanced, n = 37) | 0.750 | 1.13 | 0.53 – 2.40 |
| Time of recent SCT to biopsy | 0.970 | 1.00 | 1.00 – 1.00 |
A total of 110 patients were analyzed. High-risk groups with respective numbers are indicated for categorical variables. HR, hazard ratio; CI, confidence interval; MUD, matched unrelated donor.
Figure 3Impact of broad-spectrum antibiotics on IL22 expression. IL22 expression in biopsies derived from the lower GI tract of patients after allogeneic SCT is depicted (no Abx: n = 50, Abx: n = 36). Box plot diagram depicts median, upper, and lower quartiles and whiskers indicate minimal and maximal values. Negative values were set to 0.1. Statistical testing was performed using Mann-Whitney U test.
Figure 4Correlation between IL22 and GPRs. Correlation of IL22 with (A) GPR43 (n = 85) and (B) GPR41 (n = 84) in biopsies derived from the lower GI tract is depicted. Negative values for IL22 were set to 0.1, for GPR43 to 0.00005 and for GPR41 to 0.001. Statistical testing was performed using Spearman`s correlation.