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Novel non-histocompatibility antigen mismatched variants improve the ability to predict antibody-mediated rejection risk in kidney transplant

Publication ,  Journal Article
Pineda, S; Sigdel, TK; Chen, J; Jackson, AM; Sirota, M; Sarwal, MM
Published in: Frontiers in Immunology
December 5, 2017

Transplant rejection is the critical clinical end-point limiting indefinite survival after histocompatibility antigen (HLA) mismatched organ transplantation. The predominant cause of late graft loss is antibody-mediated rejection (AMR), a process whereby injury to the organ is caused by donor-specific antibodies, which bind to HLA and non-HLA (nHLA) antigens. AMR is incompletely diagnosed as donor/recipient (D/R) matching is only limited to the HLA locus and critical nHLA immunogenic antigens remain to be identified. We have developed an integrative computational approach leveraging D/R exome sequencing and gene expression to predict clinical post-transplant outcome. We performed a rigorous statistical analysis of 28 highly annotated D/R kidney transplant pairs with biopsy-confirmed clinical outcomes of rejection [either AMR or T-cell-mediated rejection (CMR)] and no-rejection (NoRej), identifying a significantly higher number of mismatched nHLA variants in AMR (ANOVA-p-value = 0.02). Using Fisher's exact test, we identified 123 variants associated mainly with risk of AMR (p-value < 0.001). In addition, we applied a machine-learning technique to circumvent the issue of statistical power and we found a subset of 65 variants using random forest, that are predictive of post-tx AMR showing a very low error rate. These variants are functionally relevant to the rejection process in the kidney and AMR as they relate to genes and/or expression quantitative trait loci (eQTLs) that are enriched in genes expressed in kidney and vascular endothelium and underlie the immunobiology of graft rejection. In addition to current D/R HLA mismatch evaluation, additional mismatch nHLA D/R variants will enhance the stratification of post-tx AMR risk even before engraftment of the organ. This innovative study design is applicable in all solid organ transplants, where the impact of mitigating AMR on graft survival may be greater, with considerable benefits on improving human morbidity and mortality and opens the door to precision immunosuppression and extended tx survival.

Duke Scholars

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Published In

Frontiers in Immunology

DOI

EISSN

1664-3224

Publication Date

December 5, 2017

Volume

8

Issue

DEC

Related Subject Headings

  • 3204 Immunology
  • 3105 Genetics
  • 3101 Biochemistry and cell biology
  • 1108 Medical Microbiology
  • 1107 Immunology
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Pineda, S., Sigdel, T. K., Chen, J., Jackson, A. M., Sirota, M., & Sarwal, M. M. (2017). Novel non-histocompatibility antigen mismatched variants improve the ability to predict antibody-mediated rejection risk in kidney transplant. Frontiers in Immunology, 8(DEC). https://doi.org/10.3389/fimmu.2017.01687
Pineda, S., T. K. Sigdel, J. Chen, A. M. Jackson, M. Sirota, and M. M. Sarwal. “Novel non-histocompatibility antigen mismatched variants improve the ability to predict antibody-mediated rejection risk in kidney transplant.” Frontiers in Immunology 8, no. DEC (December 5, 2017). https://doi.org/10.3389/fimmu.2017.01687.
Pineda S, Sigdel TK, Chen J, Jackson AM, Sirota M, Sarwal MM. Novel non-histocompatibility antigen mismatched variants improve the ability to predict antibody-mediated rejection risk in kidney transplant. Frontiers in Immunology. 2017 Dec 5;8(DEC).
Pineda, S., et al. “Novel non-histocompatibility antigen mismatched variants improve the ability to predict antibody-mediated rejection risk in kidney transplant.” Frontiers in Immunology, vol. 8, no. DEC, Dec. 2017. Scopus, doi:10.3389/fimmu.2017.01687.
Pineda S, Sigdel TK, Chen J, Jackson AM, Sirota M, Sarwal MM. Novel non-histocompatibility antigen mismatched variants improve the ability to predict antibody-mediated rejection risk in kidney transplant. Frontiers in Immunology. 2017 Dec 5;8(DEC).

Published In

Frontiers in Immunology

DOI

EISSN

1664-3224

Publication Date

December 5, 2017

Volume

8

Issue

DEC

Related Subject Headings

  • 3204 Immunology
  • 3105 Genetics
  • 3101 Biochemistry and cell biology
  • 1108 Medical Microbiology
  • 1107 Immunology