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基于预测的间接可识别人类白细胞抗原表位匹配供体和受体。

Matching donor and recipient based on predicted indirectly recognizable human leucocyte antigen epitopes.

作者信息

Geneugelijk K, Spierings E

机构信息

Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, the Netherlands.

出版信息

Int J Immunogenet. 2018 Apr;45(2):41-53. doi: 10.1111/iji.12359. Epub 2018 Feb 21.

Abstract

The predicted indirectly recognizable human leucocyte antigen (HLA) epitopes (PIRCHE) algorithm is a novel in silico algorithm to determine donor-recipient compatibility. The PIRCHE algorithm determines donor-recipient compatibility by counting the number of mismatched HLA-derived epitopes that are involved in indirect T-cell alloimmune responses; these epitopes are designated as PIRCHE. Over the last few years, the PIRCHE algorithm has been investigated in both hematopoietic stem cell transplantation and solid organ transplantation. This review describes the theory of the algorithm, its application in transplantation, and highlights the future perspectives on the clinical application of the PIRCHE algorithm.

摘要

预测性间接可识别人类白细胞抗原(HLA)表位(PIRCHE)算法是一种用于确定供体-受体相容性的新型计算机算法。PIRCHE算法通过计算参与间接T细胞同种免疫反应的不匹配HLA衍生表位的数量来确定供体-受体相容性;这些表位被称为PIRCHE。在过去几年中,PIRCHE算法已在造血干细胞移植和实体器官移植中得到研究。本综述描述了该算法的理论、其在移植中的应用,并强调了PIRCHE算法临床应用的未来前景。

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