Crivello Pietro, Zito Laura, Sizzano Federico, Zino Elisabetta, Maiers Martin, Mulder Arend, Toffalori Cristina, Naldini Luigi, Ciceri Fabio, Vago Luca, Fleischhauer Katharina
Institute for Experimental Cellular Therapy, Essen University Hospital, Essen, Germany; Unit of Molecular and Functional Immunogenetics, San Raffaele Scientific Institute, Milan, Italy.
Unit of Molecular and Functional Immunogenetics, San Raffaele Scientific Institute, Milan, Italy.
Biol Blood Marrow Transplant. 2015 Feb;21(2):233-41. doi: 10.1016/j.bbmt.2014.10.017. Epub 2014 Oct 23.
A major challenge in unrelated hematopoietic stem cell transplantation (HSCT) is the prediction of permissive HLA mismatches, ie, those associated with lower clinical risks compared to their nonpermissive counterparts. For HLA-DPB1, a clinically prognostic model has been shown to be matching for T cell epitope (TCE) groups assigned by cross reactivity of T cells alloreactive to HLA-DPB1∗09:01; however, the molecular basis of this observation is not fully understood. Here, we have mutated amino acids (aa) in 10 positions of HLA-DPB1∗09:01 to other naturally occurring variants, expressed them by lentiviral vectors in B cell lines, and quantitatively measured allorecognition by 17 CD4(+) T cell effectors from 6 unrelated individuals. A significant impact on the median alloresponse was observed for peptide contact positions 9, 11, 35, 55, 69, 76, and 84, but not for positions 8, 56, and 57 pointing away from the groove. A score for the "functional distance" (FD) from HLA-DPB1∗09:01 was defined as the sum of the median impact of polymorphic aa in a given HLA-DPB1 allele on T cell alloreactivity. Established TCE group assignment of 23 alleles correlated with FD scores of ≤0.5, 0.6 to 1.9 and ≥2 for TCE groups 1, 2, and 3, respectively. Based on this, prediction of TCE group assignment will be possible for any given HLA-DPB1 allele, including currently 367 alleles encoding distinct proteins for which T cell cross reactivity patterns are unknown. Experimental confirmation of the in silico TCE group classification was successfully performed for 7 of 7 of these alleles. Our findings have practical implications for the applicability of TCE group matching in unrelated HSCT and provide new insights into the molecular mechanisms underlying this model. The innovative concept of FD opens new potential avenues for risk prediction in unrelated HSCT.
非亲缘造血干细胞移植(HSCT)中的一个主要挑战是预测允许的HLA错配,即与不允许的错配相比临床风险较低的错配。对于HLA-DPB1,一种临床预后模型已被证明与通过对HLA-DPB1∗09:01具有同种异体反应性的T细胞交叉反应性分配的T细胞表位(TCE)组相匹配;然而,这一观察结果的分子基础尚未完全了解。在此,我们将HLA-DPB1∗09:01的10个位置的氨基酸(aa)突变为其他天然存在的变体,通过慢病毒载体在B细胞系中表达它们,并定量测量来自6名非亲缘个体的17个CD4(+) T细胞效应器的同种异体识别。观察到肽接触位置9、11、35、55、69、76和84对中位同种异体反应有显著影响,但远离凹槽的位置8、56和57则没有。从HLA-DPB1∗09:01的“功能距离”(FD)得分定义为给定HLA-DPB1等位基因中多态性aa对T细胞同种异体反应性的中位影响之和。已建立的23个等位基因的TCE组分配分别与TCE组1、2和3的FD得分≤0.5、0.6至1.9和≥2相关。基于此,对于任何给定的HLA-DPB1等位基因,包括目前编码不同蛋白质且T细胞交叉反应模式未知的367个等位基因,都有可能预测TCE组分配。对其中7个等位基因中的7个进行了计算机模拟TCE组分类的实验验证。我们的发现对TCE组匹配在非亲缘HSCT中的适用性具有实际意义,并为该模型的分子机制提供了新的见解。FD的创新概念为非亲缘HSCT中的风险预测开辟了新的潜在途径。