[Experience on identification of cross-reactive group specificity performed by anti-human globulin panel reactive

Yong-Hak Sohn1, Choong-Hwan Cha, Myeong Hee Kim

  • 1Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea.

Insights

Identifying human leukocyte antigen (HLA) antibody specificities using cross-reactive group (CREG) classification significantly improves detection rates. Both Rodey and Takemoto CREG classifications are effective for interpreting panel reactive antibody (PRA) results.

Area of Science:

  • Immunogenetics
  • Transplantation immunology
  • Histocompatibility testing

Context:

  • Panel reactive antibody (PRA) testing is crucial for screening and identifying human leukocyte antigen (HLA) antibodies in patients awaiting transplantation.
  • High PRA levels are often associated with antibodies against cross-reactive groups (CREGs), necessitating accurate classification for effective antibody identification.
  • Current methods for HLA antibody identification require refinement to improve specificity and detection rates, particularly in complex cases.

Purpose:

  • To evaluate the advantage of identifying cross-reactive group (CREG) specificities in human leukocyte antigen (HLA) antibody screening.
  • To determine if antibody specificities change based on different CREG classification systems (Rodey and Takemoto).
  • To assess the impact of CREG classification on the accuracy and efficiency of panel reactive antibody (PRA) interpretation.

Summary:

  • A study analyzed 159 sera from 108 patients with >5% PRA using anti-human globulin (AHG)-complement-dependent cytotoxicity (CDC) assays.
  • A tail analysis-based computer program was developed to identify HLA class I antibody specificities, applying both Rodey (R-ABC) and Takemoto (T-ABC) CREG classifications, and compared to results without CREG application (ABC).
  • CREG classification enhanced antibody identification rates, with higher detection frequencies in samples with PRA >50%. Specificity was missed in 9 cases without CREG application.

Impact:

  • Application of CREG classification significantly enhanced the rate of HLA antibody identification, improving diagnostic yield.
  • The study found that antibody specificities identified using Rodey or Takemoto CREG classifications were largely comparable at the individual antigen level.
  • These findings suggest that either Rodey or Takemoto CREG classification can be effectively used for interpreting PRA, simplifying the process and improving clinical decision-making in transplantation.
Abstract