Related Experiment Video
Updated: Sep 19, 2025

Personalized Peptide Arrays for Detection of HLA Alloantibodies in Organ Transplantation
Published on: September 6, 2017
Cross-organ hierarchy of HLA molecular mismatches in donor-specific antibody development in solid organ
Masaaki Hirata1, Kazuto Tsukita2, Takero Shindo3
1Department of Surgery, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto 606-8501, Japan.
Donor-specific antibodies (DSAs) against human leukocyte antigen (HLA) play a crucial role in antibody-mediated rejection, a major barrier to successful organ transplantation. Donor-recipient HLA molecular incompatibility critically influences DSA susceptibility, commonly assessed by analyzing mismatches in the HLA eplet repertoire. This study, including six distinct liver, lung, and kidney transplant cohorts from two centers (978 donor-recipient pairs), explores associations between individual eplet mismatches and DSA development. Certain mismatched eplets are strongly linked to DSA development, while others show weaker associations, a trend consistent across different organ types. Machine learning leverages these hierarchical associations to develop an eplet risk score (ERS), outperforming traditional eplet mismatch assessments. Furthermore, T cell proliferation in mixed lymphocyte reaction in vitro correlates with the ERS, attenuated by antibody-mediated inhibition of a mismatched DSA-associated eplet. These results establish the differential immunological impacts of mismatched HLA eplets as integral in clinical practice and therapeutic innovation.
Donor-specific antibodies (DSAs) against human leukocyte antigen (HLA) play a crucial role in antibody-mediated rejection, a major barrier to successful organ transplantation. Donor-recipient HLA molecular incompatibility critically influences DSA susceptibility, commonly assessed by analyzing mismatches in the HLA eplet repertoire. This study, including six distinct liver, lung, and kidney transplant cohorts from two centers (978 donor-recipient pairs), explores associations between individual eplet mismatches and DSA development. Certain mismatched eplets are strongly linked to DSA development, while others show weaker associations, a trend consistent across different organ types. Machine learning leverages these hierarchical associations to develop an eplet risk score (ERS), outperforming traditional eplet mismatch assessments. Furthermore, T cell proliferation in mixed lymphocyte reaction in vitro correlates with the ERS, attenuated by antibody-mediated inhibition of a mismatched DSA-associated eplet. These results establish the differential immunological impacts of mismatched HLA eplets as integral in clinical practice and therapeutic innovation.
Related Concept Videos
Tissue Transplantation
The Biology of Tissue Transplantation
The biology of tissue transplantation hinges on the Major Histocompatibility Complex (MHC) molecules. These molecules...
Cell-mediated Immune Responses
Bone Marrow Sampling and Transplants
The transplant begins with high doses of chemotherapy and radiation treatment, which aim to destroy...
Kidney Transplant I: Introduction
Antigens Involved in Adaptive Immunity
Complete Antigens
Complete antigens possess both immunogenicity and...
Cross-reactivity

