The Impact of Amino Acid Variability on Alloreactivity Defines a Functional Distance Predictive of Permissive HLA-DPB1 Mismatches in Hematopoietic Stem.

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The Impact of Amino Acid Variability on Alloreactivity Defines a Functional Distance Predictive of Permissive HLA-DPB1 Mismatches in Hematopoietic Stem Cell Transplantation  Pietro Crivello, Laura Zito, Federico Sizzano, Elisabetta Zino, Martin Maiers, Arend Mulder, Cristina Toffalori, Luigi Naldini, Fabio Ciceri, Luca Vago, Katharina Fleischhauer  Biology of Blood and Marrow Transplantation  Volume 21, Issue 2, Pages 233-241 (February 2015) DOI: 10.1016/j.bbmt.2014.10.017 Copyright © 2015 American Society for Blood and Marrow Transplantation Terms and Conditions

Figure 1 Intra- and interindividual variability of sensitivity to single aa substitutions for allorecognition of HLA-DPB1∗09:01 by CD4+ T cell clones. Allorecognition of MGAR (black and hatched bars) or VAVY (grey bars) BLCL after lentiviral transduction with WT (DP9) or mutant HLA-DPB1∗09:01 (Table 1), or with irrelevant control HLA-DPB1 (CTR), by clonal alloreactive CD4+ T cells (Table S2). CTR was HLA-DPB1∗01:01 for MGAR and HLA-DPB1∗04:01 for VAVY. Shown is for all clones the number of spots counted in IFN-γ ELISpot assays in response to transduced BLCL (filled bars). For clones 4 and 6, the percentage of T cells expressing CD137 in response to transduced BLCL is additionally shown on the right axis (hatched bars). (A) T cell clones from PBMC obtained from a patient at the time of HSCT allograft rejection (clones 1 and 2), or before transplantation (clone 3). (B-D) T cell clones from PBMC obtained from 3 unrelated healthy responder-stimulator pairs. Results are expressed as mean ± SD of 3 to 5 (IFN-γ ELISpot assays) and 2 (CD137 assays) independent experiments. Statistical comparisons between alloresponses to each mutant versus WT DPB1∗09:01 were performed by the unpaired 2-tailed t-Test (∗P < .05, ∗∗P < .01, ∗∗∗P < .001). Biology of Blood and Marrow Transplantation 2015 21, 233-241DOI: (10.1016/j.bbmt.2014.10.017) Copyright © 2015 American Society for Blood and Marrow Transplantation Terms and Conditions

Figure 2 Intra-individual variability of sensitivity to single aa substitutions for allorecognition of HLA-DPB1∗09:01 by different TCR-Vβ subpopulations. Shown is the percentage of CD4 + T cells upregulating the activation marker CD137 in response to MGAR BLCL transduced with HLA-DPB1∗01:01 (CTR), WT (DP9) or mutant HLA-DPB1∗09:01 (Table 1), in 6 and 4 TCR-Vβ subpopulations present in 2 uncloned T cells obtained after 2 rounds of stimulation in MLR between the responder/stimulator pairs OSR-6392/OSR-5048 (A) and OSR-7285/OSR-0648 (B) (Tables S1 and S2). The percentage of the relevant TCR-Vβ subpopulation within the total of CD4+ T cells is shown on top of each graph. CD137 upregulation assays were performed as described in Materials and Methods. Only TCR-Vβ subpopulations present at ≥0.5% and significantly (P < .05) upregulating CD137 after stimulation with WT HLA-DPB1∗09:01 compared to CTR were analyzed. Results are mean ± SEM of 3 independent experiments. Statistical comparison between alloresponses to each mutant versus WT HLA-DPB1∗09:01 were performed by the 2-tailed unpaired t-Test (∗P < .05, ∗∗P < .01, ∗∗∗P < .001). Biology of Blood and Marrow Transplantation 2015 21, 233-241DOI: (10.1016/j.bbmt.2014.10.017) Copyright © 2015 American Society for Blood and Marrow Transplantation Terms and Conditions

Figure 3 Overall impact of individual aa substitutions on allorecognition of HLA-DPB1∗09:01 by an alloreactive CD4+ T cell panel. (A) Relative response (RR) of 17 CD4 + T cells (Table S2) to individual aa substitutions in HLA-DPB1∗09:01 (Table 1) compared to WT set as 1.0 (dotted line). Each aa mutation is represented by a different symbol. RR values were calculated according to the formula Response[mutant]−Response[negative control]/Response[WT]−Response[negative control]. Data were derived from those reported in Figure 2 for T cell clones and in Figure 4 for TCR-Vβ subpopulations. (B) FDaa value of each aa mutation, calculated as [1- median RR] from panel A. FDaa values are distributed from lowest (−0.12) to highest (0.96) overall impact on allorecognition of HLA-DPB1∗09:01. Biology of Blood and Marrow Transplantation 2015 21, 233-241DOI: (10.1016/j.bbmt.2014.10.017) Copyright © 2015 American Society for Blood and Marrow Transplantation Terms and Conditions

Figure 4 HvR variability of HLA-DPB1 alleles according to their functional TCE group classification and FDallele scores. Shown are 23 HLA-DPB1 alleles previously classified into TCE groups according to T cell cross reactivity patterns [16,17], along with their aa polymorphism at the 10 positions subjected to SDM in the present study (Table 1). The FDallele score of each of these alleles was calculated as the sum of the FDaa values of each mutation, as reported in Figure 5B. Variants D55E, E69R, V76I, and D84V, naturally occurring in HLA-DPB1∗05:01, 19:01, 11:01, 13:0,1 and 15:01 respectively, are indicated in bold because they were not analyzed in this study and were not considered (FDaa value 0). Biology of Blood and Marrow Transplantation 2015 21, 233-241DOI: (10.1016/j.bbmt.2014.10.017) Copyright © 2015 American Society for Blood and Marrow Transplantation Terms and Conditions

Figure 5 Comparative evaluation of HLA-DPB1 TCE group classification by alloreactive T cell cross reacitivity patterns and by FDallele scores. Shown is the number (mean of 3 to 5 independent experiments) of spots counted in IFN-γ ELISpot assays in response to BLCL expressing different endogenous HLA-DPB1 alleles, by 7 T cell clones from this study (Table S2). HLA-DPB1 alleles are shown in the order of rising FDallele scores. Note recognition by most, some or none of the T cell clones for HLA-DPB1 alleles in TCE groups 1, 2, and 3, respectively. (A) Recognition of 7 of 23 HLA-DPB1 alleles previously assigned to TCE group 1, 2, or 3 on the basis of alloreactive T cell cross reactivity patterns [16,17]. (B) Recognition of 7 of 367 HLA-DPB1 alleles newly assigned to TCE groups 1, 2, or 3 on the basis of their FDallele scores. Biology of Blood and Marrow Transplantation 2015 21, 233-241DOI: (10.1016/j.bbmt.2014.10.017) Copyright © 2015 American Society for Blood and Marrow Transplantation Terms and Conditions