Shotgun Immunoproteomics for Identification of Nonhuman Leukocyte Antigens Associated With Cellular Dysfunction in Heart Transplant Rejection

TRANSPLANTATION(2022)

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摘要
Background. The International Society for Heart and Lung Transplant consensus panel notes that too little data exist regarding the role of non-HLA in allograft rejection. We developed a novel shotgun immunoproteomic approach to determine the identities and potential roles non-HLA play in antibody-mediated rejection (AMR) in heart transplant recipients. Methods. Serum was collected longitudinally from heart transplant recipients experiencing AMR in the absence of donor-specific anti-HLA antibodies (n=6) and matched no rejection controls (n=7). Antidonor heart affinity chromatography columns were formed by recipient immunoglobulin G immobilization at transplantation, acute rejection, and chronic postrejection time points. Affinity chromatography columns were used to capture antigens from individual patient's donor heart biopsies collected at transplantation. Captured proteins were subjected to quantitative proteomic analysis and the longitudinal response was calculated. Results. Overlap in antigen-specific response between AMR and non-AMR patients was only 8.3%. In AMR patients, a total of 155 non-HLAs were identified, with responses toward 43 high prevalence antigens found in >= 50% of patients. Immunofluorescence staining for representative high prevalence antigens demonstrated that their abundance increased at acute rejection, correlating with their respective non-HLA antibody response. Physiological changes in cardiomyocyte and endothelial cell function, following in vitro culture with patient immunoglobulin G, correlated with response toward several high prevalence antigens. Conclusions. This work demonstrates a novel high-throughput strategy to identify clinically relevant non-HLA from donor endomyocardial biopsy. Such a technique has the potential to improve understanding of longitudinal timing of antigen-specific responses and their cause and effect relationship in graft rejection.
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