PIRCHE-II: an algorithm to predict indirectly recognizable HLA epitopes in solid organ transplantation
- PMID: 31741009
- PMCID: PMC6971131
- DOI: 10.1007/s00251-019-01140-x
PIRCHE-II: an algorithm to predict indirectly recognizable HLA epitopes in solid organ transplantation
Abstract
Human leukocyte antigen (HLA) mismatches between donors and recipients may lead to alloreactivity after solid organ transplantation. Over the last few decades, our knowledge of the complexity of the HLA system has dramatically increased, as numerous new HLA alleles have been identified. As a result, the likelihood of alloreactive responses towards HLA mismatches after solid organ transplantation cannot easily be assessed. Algorithms are promising solutions to estimate the risk for alloreactivity after solid organ transplantation. In this review, we show that the recently developed PIRCHE-II (Predicted Indirectly ReCognizable HLA Epitopes) algorithm can be used to minimize alloreactivity towards HLA mismatches. Together with the use of other algorithms and simulation approaches, the PIRCHE-II algorithm aims for a better estimated alloreactive risk for individual patients and eventually an improved graft survival after solid organ transplantation.
Keywords: Epitopes; HLA; Histocompatibility; Matching; PIRCHE-II; Solid organ transplantation; Transplantation.
Conflict of interest statement
The UMCU has filed a patent application on the prediction of an alloimmune response against mismatched HLA. E.S. is listed as inventor on this patent. K.G. has no conflicts of interest to disclose. A 3-month free trial of the PIRCHE algorithm is available via:
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- Abraham JP, Barker DJ, Robinson J, Maccari G, Marsh SGE (2018) The IPD Databases: Cataloguing and Understanding Allele Variants Methods Mol Biol - PubMed
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