Howard M Gebel1, Robert A Bray. 1. Department of Pathology, Emory University School of Medicine, Atlanta, Georgia, USA. hgebel@emory.edu
Abstract
PURPOSE OF REVIEW: As human leukocyte (HLA) antigen and antibody testing has evolved, typing, screening, and crossmatching assays have become exquisitely specific and sensitive. How best to use this information is a focal point of the transplant community and of this review. RECENT FINDINGS: Driven by advances in technology, two major changes in the transplant community recently occurred. Firstly, the United Network for Organ Sharing mandated the use of cPRA to replace the more subjective panel reactive antibody value. Secondly, the virtual crossmatch (vXM) became a reality. The vXM categorizes sensitized patients as compatible or incompatible with their donors by predicting the likelihood of a positive crossmatch. Although the use of cPRA and vXM represents major progress in organ allocation algorithms, there are compelling issues that must be addressed. These include defining appropriate threshold values for antibody assignment and recognizing the relevance of antibodies to HLA-Cw*, HLA-DQ*, and HLA-DP*. SUMMARY: Undoubtedly, molecular HLA-typing and solid-phase antibody-detection assays have revolutionized clinical histocompatibility testing. These new testing methodologies have had a major impact in both allocation and outcome of transplanted kidneys. However, even these new methodologies are not flawless and pose new challenges to the transplant community.
PURPOSE OF REVIEW: As human leukocyte (HLA) antigen and antibody testing has evolved, typing, screening, and crossmatching assays have become exquisitely specific and sensitive. How best to use this information is a focal point of the transplant community and of this review. RECENT FINDINGS: Driven by advances in technology, two major changes in the transplant community recently occurred. Firstly, the United Network for Organ Sharing mandated the use of cPRA to replace the more subjective panel reactive antibody value. Secondly, the virtual crossmatch (vXM) became a reality. The vXM categorizes sensitized patients as compatible or incompatible with their donors by predicting the likelihood of a positive crossmatch. Although the use of cPRA and vXM represents major progress in organ allocation algorithms, there are compelling issues that must be addressed. These include defining appropriate threshold values for antibody assignment and recognizing the relevance of antibodies to HLA-Cw*, HLA-DQ*, and HLA-DP*. SUMMARY: Undoubtedly, molecular HLA-typing and solid-phase antibody-detection assays have revolutionized clinical histocompatibility testing. These new testing methodologies have had a major impact in both allocation and outcome of transplanted kidneys. However, even these new methodologies are not flawless and pose new challenges to the transplant community.
Authors: M Mengel; B Sis; M Haas; R B Colvin; P F Halloran; L C Racusen; K Solez; L Cendales; A J Demetris; C B Drachenberg; C F Farver; E R Rodriguez; W D Wallace; D Glotz Journal: Am J Transplant Date: 2012-02-02 Impact factor: 8.086
Authors: Ross M Fasano; Harold Cliff Sullivan; Robert A Bray; Howard M Gebel; Erin K Meyer; Annie M Winkler; Cassandra D Josephson; Sean R Stowell; Alexander Sandy Duncan; John D Roback Journal: Arch Pathol Lab Med Date: 2017-03 Impact factor: 5.534
Authors: Manish J Gandhi; Danielle M Carrick; Sarah Jenkins; Steven De Goey; Nancy A Ploeger; Gregory A Wilson; Jar How Lee; Jeffrey L Winters; James R Stubbs; Pearl Toy; Philip J Norris Journal: Transfusion Date: 2013-01-10 Impact factor: 3.157
Authors: Howard M Gebel; Bertram L Kasiske; Sally K Gustafson; Joshua Pyke; Eugene Shteyn; Ajay K Israni; Robert A Bray; Jon J Snyder; John J Friedewald; Dorry L Segev Journal: Clin J Am Soc Nephrol Date: 2016-02-02 Impact factor: 8.237
Authors: Chethan M Puttarajappa; Dana Jorgensen; Jonathan G Yabes; Kwonho Jeong; Adriana Zeevi; John Lunz; Amit D Tevar; Michele Molinari; Sumit Mohan; Sundaram Hariharan Journal: Kidney Int Date: 2021-04-30 Impact factor: 18.998