The highly sensitized patient remains an enigma for kidney transplantation. Not only is it difficult to find suitable donors with negative crossmatches, but the transplant outcome is less successful for such patients. This problem affects especially African-American patients. HLA is considered the primary system of transplantation antigens recognized by antibodies in sera from sensitized patients. Each HLA molecule contains a complex array of multiple antigenic epitopes categorized as private and public determinants and amino acid sequencing has revealed extensive allelisms at the residue level. Most highly sensitized patients maintain, however, a rather restricted repertoire of antibody specificity towards generally high-frequency antigenic determinants. These studies deal with the determination of the antibody specificity spectrum in highly sensitized patients so that donors can be identified with acceptable mismatches and this will improve graft outcome. Three interrelated projects are proposed: 1) Conduct an HLA antibody specificity analysis of pre-transplant sera from highly sensitized African-American kidney transplant patients and determine how donor HLA mismatch acceptability affects graft outcome; this will be a large collaborative effort between histocompatibility laboratories nationwide; 2) Implement an acceptable mismatch strategy to select donors for highly sensitized patients on the transplant waiting list. This project will be conducted at the regional level and involves the participation of transplant centers in UNOS Region 2; 3) Determine the relative immunogenicity of HLA class I determinants and its clinical relevance to kidney transplant survival. The study will be done in collaboration with UCLA investigators and involves the UNOS kidney transplant database. The investigators expect that the results of these studies will increase our understanding of HLA compatibility and benefit donor selection strategies for patients awaiting kidney transplantation.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project (R01)
Project #
1R01DK052803-01A1
Application #
2692609
Study Section
Surgery, Anesthesiology and Trauma Study Section (SAT)
Project Start
1998-09-29
Project End
2000-06-30
Budget Start
1998-09-29
Budget End
1999-06-30
Support Year
1
Fiscal Year
1998
Total Cost
Indirect Cost
Name
University of Pittsburgh
Department
Pathology
Type
Schools of Medicine
DUNS #
053785812
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213
Duquesnoy, Rene J; Witvliet, Marian; Doxiadis, Ilias I N et al. (2004) HLAMatchmaker-based strategy to identify acceptable HLA class I mismatches for highly sensitized kidney transplant candidates. Transpl Int 17:22-30
Duquesnoy, Rene J; Marrari, Marilyn (2003) Multilaboratory evaluation of serum analysis for HLA antibody and crossmatch reactivity by lymphocytotoxicity methods. Arch Pathol Lab Med 127:149-56
Duquesnoy, Rene J; Howe, Judy; Takemoto, Steve (2003) HLAmatchmaker: a molecularly based algorithm for histocompatibility determination. IV. An alternative strategy to increase the number of compatible donors for highly sensitized patients. Transplantation 75:889-97
Duquesnoy, Rene J; Takemoto, Steve; de Lange, Peter et al. (2003) HLAmatchmaker: a molecularly based algorithm for histocompatibility determination. III. Effect of matching at the HLA-A,B amino acid triplet level on kidney transplant survival. Transplantation 75:884-9
Duquesnoy, Rene J (2002) HLAMatchmaker: a molecularly based algorithm for histocompatibility determination. I. Description of the algorithm. Hum Immunol 63:339-52
Duquesnoy, Rene J; Marrari, Marilyn (2002) HLAMatchmaker: a molecularly based algorithm for histocompatibility determination. II. Verification of the algorithm and determination of the relative immunogenicity of amino acid triplet-defined epitopes. Hum Immunol 63:353-63
Duquesnoy, R J (2001) HLAMMATCHMAKER: a molecularly based donor selection algorithm for highly alloimmunized patients. Transplant Proc 33:493-7