Experience on Identification of Cross-Reactive Group Specificity Performed by Anti-human Globulin Panel Reactive Antibody Tests / 대한진단검사의학회지

BACKGROUND: Panel reactive antibody (PRA) is to screen and identify HLA antibody. Majority of antibody specificities in high-PRA are directed against cross reactive group (CREG). Thus, this study was to know the advantage of identifying CREG specificity and whether antibody specificities are changed according to CREG classification. METHODS: HLA class I antibodies were identified from 159 sera from 108 patients in Asan Medical Center, who had shown more than 5% PRA by anti-human globulin (AHG)-complement-dependent cytotoxicity (CDC). Tail analysis-based computer program was developed to identify specificities, applying both Rodey (R-ABC) and Takemoto (T-ABC) classification. The results were also compared with those obtained when without CREG application (ABC). RESULTS: Among 151 cases in which HLA specificities was identified, the frequency of CREG specificity was 22.5% in R-ABC and 27.2% in T-ABC. Eleven cases showed CREG specificities only in one classification. However, the individual antigen specificities in one hand were all included in the CREG identified in the other hand. CREG specificities in samples with PRA >50% (60%) were more frequently identified than those in samples with PRA < or =50% (9%) (in R-ABC, P<0.0001). Without applying CREG to interpretation, specificity was not identified in 9 cases. CONCLUSIONS: Application of CREG enhanced the rate of antibody identification. Antibody specificities of those cases where CREG specificities were different between Rodey and Takemoto classifications were almost the same when compared at the individual antigen level. Therefore, it was thought that it makes no difference to use any one of these two classifications in interpreting PRA.

Development of a Web-based Program for the Identification of Human Leukocyte Antigen Antibody Specificities / 대한진단검사의학회지

BACKGROUND: Panel reactive antibody (PRA) test is used to determine whether a patient awaiting transplantation is previously sensitized. Tail analysis algorithm is widely used to identify antibody specificities, but it is very difficult to perform manually. METHODS: To develop a web-based program, PHP (5.1.2), Apache (2.0.55), and MySQL (5.0.22) were used. Tail analysis algorithm was applied to identify specificities, which analyzed statistically 2 x 2 tables representing reactivities to broad antigens, splits and cross reactive groups (CREG). Exploiting two CREG classifications of Rodey (R) and Takemoto (T), antibody specificities were identified by 3 methods (ABC, R-ABC, T-ABC) simultaneously. Performance of the system was evaluated using 159 samples that showed > or =6 PRA% by a lymphocytotoxicity assay. RESULTS: A web-based system that can identify HLA antibody specificities was implemented on www.koreanhla.com. Among 159 samples tested, antibody specificities were identified in 151 (95.0 %), but not in 8 samples with PRA >97%. Among the 151 samples, 110 showed broad or split specificities and 41 CREG specificities. CONCLUSIONS: We developed a web-based computer program for the identification of HLA antibody specificities. Accessible to everyone on the internet, this program should be of help in sharing PRA results among laboratories.