Submitted:
23 January 2025
Posted:
23 January 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Immunogenetic Testing of the Recipient and Donor Before Kidney Transplantation
3. Crossmatch Test (XM)
4. Complement-Dependent Cytotoxicity Method (CDC)
5. Flow Cytometry Method
6. Solid-Phase Method (Luminex)
7. Virtual Test
- "Peanut butter" effect: This refers to the ability to detect a small amount of antibody targeted to an antigen on one bead, but when spread across many beads, the signal can fall below the set threshold, analogous to spreading peanut butter on one slice of bread versus distributing it across all slices of a loaf. Recent studies have not confirmed this effect [23].
- Prozone effect: This occurs when serum components interfere with the detection of anti-HLA antibodies, such as high levels of antibodies that may activate complement, leading to C1 deposition on the beads, the presence of IgM antibodies, immune complexes, intravenous immunoglobulin, thymoglobulin, or other factors that can interfere with secondary antibody binding. Complement-mediated interference in SAB tests can be reduced by treating sera with ethylenediaminetetraacetic acid (EDTA), heat, or DTT before testing [24].
- Antibodies to rare alleles that are not represented on the microbeads of the SAB test.
- Undetected HLA antibodies due to concentrations below the test’s sensitivity threshold, which is determined by the minimum MFI value. In such cases, the clinical significance of the antibody specificity must be considered based on the sensitizing event and previous test results.
- Unreported sensitizing events after the last serum screening.
- Complement-activating antibodies, which are associated with a higher incidence of acute graft rejection reactions, cannot be distinguished from non-complement-activating antibodies using SAB tests or vXM. For this purpose, adding C1q or C3d components to the SAB test is recommended.
- Detecting antibodies that are clinically insignificant. Since MFI value is no standardized, the detection of antibodies that are not clinically significant may occur due to test hypersensitivity, leading to misinterpretation. As a result, transplantation may be unnecessarily delayed due to a false positive result, or inappropriate immunosuppressive therapy may be applied after the procedure.
- The presence of potentially interfering autoantibodies resulting from autoimmune disease [25]. One of the procedures performed in this case is the autologous XM test, which can distinguish between auto- and allo-antibodies.
- The production process during reagent preparation and the binding of HLA molecules to microbeads, which may lead to conformational changes, denaturation, and the exposure of a new epitope (which does not exist on the native molecule) or cryptic antigens (which are otherwise unavailable to antibodies) with which antibodies will react [26].
- The presence of therapeutic antibodies such as rituximab and anti-thymocyte globulin [27].
- "Natural" HLA antibodies, i.e., HLA antibodies detected in individuals without any known sensitization events, which are currently considered nonspecific. It is believed that they may arise due to cross-reactivity following bacterial or viral infections, such as influenza and hepatitis C, or after vaccination. Environmental factors such as microorganisms, food proteins, and allergens are considered as possible causes. Pro-inflammatory events, such as surgical procedures or trauma, are also associated with an increase in titers and the broadening of the specificity of anti-HLA antibodies [28,29,30,31].
- Non-HLA antibodies. Non-HLA antigens are molecules outside the HLA system expressed on lymphocytes. They arise as a products of nonsynonymous single nucleotide polymorphisms (SNPs) that result in a change in the codon, inserting a different amino acid into the polypeptide, creating polymorphic peptides recognized as „non-self“ by the immune system. Non-HLA molecule mismatches between the donor and recipient will trigger an immune response and the formation of specific antibodies. Research is underway to investigate the association between the development of graft rejection in kidney and other organ transplants and antibodies targeting non-HLA antigens, such as antibodies against vimentin, endothelin receptors, angiotensin II receptors, and other antigens [32].
8. Clinical Application of Virtual Crossmatch Testing in Kidney Transplantation
Author Contributions
References
- Mosaad, Y.M. Clinical Role of Human Leukocyte Antigen in Health and Disease. Scand. J. Immunol. 2015, 82(4), 283-306. [CrossRef]
- Alelign, T.; Ahmed, M.M.; Bobosha, K.; Tadesse, Y.; Howe, R.; Petros, B. Kidney Transplantation: The Challenge of Human Leukocyte Antigen and Its Therapeutic Strategies. J. Immunol. Res. 2018, 2018, 5986740. [CrossRef]
- Süsal, C.; Roelen, D.L.; Fischer, G.; Campos, E.F.; Gerbase-DeLima, M.; Hönger, G.; Schaub, S.; Lachmann, N.; Martorell, J.; Claas, F. Algorithms for the determination of unacceptable HLA antigen mismatches in kidney transplant recipients. Tissue Antigens. 2013, 82(2), 83-92. [CrossRef]
- Huber, L.; Lachmann, N.; Niemann, M.; Naik, M.; Liefeldt, L.; Glander, P.; Schmidt, D.; Halleck, F.; Waiser, J.; Brakemeier, S.; Neumayer, H.H.; Schönemann, C.; Budde, K. Pretransplant virtual PRA and long-term outcomes of kidney transplant recipients. Transpl. Int. 2015, 28(6), 710-719. [CrossRef]
- Süsal, C.; Morath, C. Virtual PRA replaces traditional PRA: small change but significantly more justice for sensitized patients. Transpl. Int. 2015, 28(6), 708-709. [CrossRef]
- Oberman, H.A. The crossmatch. A brief historical perspective. Transfusion. 1981, 21(6), 645-651. [CrossRef]
- Ellis, H. The first identical twin renal transplant. J. Perioper. Pract. 2015, 25(3), 58-59. [CrossRef]
- Patel, R.; Terasaki, P.I. Significance of the positive crossmatch test in kidney transplantation. N. Engl. J. Med. 1969, 280(14), 735-739. [CrossRef]
- Jaramillo, A.; Ramon, D.S.; Stoll, S.T. Technical aspects of crossmatching in transplantation. Clin. Lab. Med. 2018, 38, 579–593. [CrossRef]
- Badders, J.L.; Jones, J.A.; Jeresano, M.E,; Schillinger, K.P.; Jackson, A.M. Variable HLA expression on deceased donor lymphocytes: Not all crossmatches are created equal. Hum. Immunol. 2015, 76(11), 795-800. [CrossRef]
- Garovoy, M.R.; Rheinschmilt, M.A.; Bigos, M.; Perkins, H.; Colombe, B.; Feduska, N.; Salvatierra, O. Flow cytometry analysis: A high technology crossmatch technique facilitation transplantation. Transplant. Proc 1983, 15, 1939.
- Maguire, O.; Tario, J.D.Jr.; Shanahan, T.C.; Wallace, P.K.; Minderman, H. Flow cytometry and solid organ transplantation: a perfect match. Immunol. Invest. 2014, 43(8), 756-774. [CrossRef]
- Guillaume, N. Improved flow cytometry crossmatching in kidney transplantation. HLA. 2018, 92(6), 375-383. [CrossRef]
- Billen, E.V.; Voorter, C.E.; Christiaans, M.H.; van den Berg-Loonen, E.M. Luminex donor-specific crossmatches. Tissue Antigens. 2008, 71(6), 507-513. [CrossRef]
- Guillaume, N.; Mazouz, H.; Piot, V.; Presne, C.; Westeel, P.F. Correlation between Luminex donor-specific crossmatches and levels of donor-specific antibodies in pretransplantation screening. Tissue Antigens. 2013, 82(1),16-20. [CrossRef]
- Ameur, R.F.; Berkani, L.M.; Belaid, B.; Habchi, K.; Saidani, M.; Djidjik, R. Luminex Crossmatch in kidney transplantation. Scand. J. Immunol. 2023, 98(1), e13279. [CrossRef]
- Lachmann, N.; Todorova, K; Schulze, H; Schönemann, C. Luminex(®) and its applications for solid organ transplantation, hematopoietic stem cell transplantation, and transfusion. Transfus. Med. Hemother. 2013, 40(3), 182-189. [CrossRef]
- Bohmig, G.A.; Fidler, S.; Christiansen, F.T.; Fischer, G.; Ferrari, P. Transnational validation of the Australian algorithm for virtual crossmatch allocation in kidney paired donation. Hum. Immunol. 2013, 74(5), 500–505. [CrossRef]
- Zangwill, S.; Ellis, T.; Stendahl, G.; Zahn, A.; Berger, S.; Tweddell, J. Practical application of the virtual crossmatch. Pediatr. Transplant. 2007, 11(6), 650-654. [CrossRef]
- Yanagida, R.; Czer, L.S.; Reinsmoen, N.L.; Cao, K.; Rafiei, M.; De Robertis, M.A.; Mirocha, J.; Kass, R.M.; Kobashigawa, J.A.; Trento, A. Impact of virtual cross match on waiting times for heart transplantation. Ann. Thorac. Surg. 2011, 92(6), 2104-2110, discussion 2111. [CrossRef]
- Taylor, C.J.; Kosmoliaptsis, V.; Sharples, L.D.; Prezzi, D.; Morgan, C.H.; Key, T.; Chaudhry, A.N.; Amin, I.; Clatworthy, M.R.; Butler, A.J.; Watson, C.J.; Bradley, J.A. Ten-year experience of selective omission of the pretransplant crossmatch test in deceased donor kidney transplantation. Transplantation. 2010, 89(2), 185-193. [CrossRef]
- Barin-Turica, F. Virtual crossmatch test in kidney transplantation. Final thesis, Faculty of Medicine, University of Rijeka, Croatia, 2024.
- Claisse, G.; Devriese, M.; Lion, J.; Maillard, N.; Caillat-Zucman, S.; Mooney, N.; Taupin, J.L. Relevance of Anti-HLA Antibody Strength Underestimation in Single Antigen Bead Assay for Shared Eplets. Transplantation. 2022, 106(12), 2456-2461. [CrossRef]
- Schnaidt, M.; Weinstock, C.; Jurisic, M.; Schmid-Horch, B.; Ender, A.; Wernet, D. HLA antibody specification using single-antigen beads--a technical solution for the prozone effect. Transplantation. 2011, 92(5), 510-515. [CrossRef]
- Schlaf, G.; Pollok-Kopp, B.; Schabel, E.; Altermann, W. Artificially Positive Crossmatches Not Leading to the Refusal of Kidney Donations due to the Usage of Adequate Diagnostic Tools. Case. Rep. Transplant. 2013, 2013, 746395. [CrossRef]
- Amico, P.; Hönger, G.; Mayr, M.; Schaub, S. Detection of HLA-antibodies prior to renal transplantation: prospects and limitations of new assays. Swiss. Med. Wkly. 2008, 138(33-34), 472-476. [CrossRef]
- Milongo, D.; Vieu, G.; Blavy, S.; Del Bello, A.; Sallusto, F.; Rostaing, L.; Kamar, N.; Congy-Jolivet, N. Interference of therapeutic antibodies used in desensitization protocols on lymphocytotoxicity crossmatch results. Transpl. Immunol. 2015, 32(3), 151-155. [CrossRef]
- Morales-Buenrostro, L.E.; Terasaki, P.I.; Marino-Vázquez, L.A.; Lee, J.H.; El-Awar, N.; Alberú, J. "Natural" human leukocyte antigen antibodies found in nonalloimmunized healthy males. Transplantation. 2008, 86(8), 1111-1115. [CrossRef]
- Hirata, A.A.; McIntire, F.C.; Terasaki, P.I.; Mittal, K.K. Cross reactions between human transplantation antigens and bacterial lipopolysaccharides. Transplantation. 1973, 15(5), 441-445.
- Katerinis, I.; Hadaya, K.; Duquesnoy, R.; Ferrari-Lacraz, S.; Meier, S.; van Delden, C.; Martin, P.Y.; Siegrist, C.A.; Villard, J. De novo anti-HLA antibody after pandemic H1N1 and seasonal influenza immunization in kidney transplant recipients. Am. J. Transplant. 2011, 11(8), 1727-1733. [CrossRef]
- El Aggan, H.A.; Sidkey, F.; El Gezery, D.A.; Ghoneim, E. Circulating anti-HLA antibodies in patients with chronic hepatitis C: relation to disease activity. Egypt. J. Immunol. 2004, 11(2), 71-79.
- Zhang, Q.; Reed, E.F. The importance of non-HLA antibodies in transplantation. Nat. Rev. Nephrol. 2016, 12(8), 484-495. [CrossRef]
- Rocha, Y.; Jaramillo, A.; Neumann, J.; Hacke, K.; Palou, E.; Torres, J. Crossmatch assays in transplantation: Physical or virtual?: A review. Medicine (Baltimore). 2023,102(50):e36527. [CrossRef]
- Heidt, S.; Haasnoot, G.W.; van der Linden-van Oevelen, M.J.H.; Claas, F.H.J. Highly Sensitized Patients Are Well Served by Receiving a Compatible Organ Offer Based on Acceptable Mismatches. Front. Immunol. 2021, 12, 687254. [CrossRef]
- Tambur, A.R. HLA-Epitope Matching or Eplet Risk Stratification: The Devil Is in the Details. Front. Immunol. 2018, 9, 2010. [CrossRef]
- Zhang, J.; Tao, A. Antigenicity, Immunogenicity, Allergenicity. Allergy Bioinformatics. 2015, 8, 175-186. [CrossRef]
- Bezstarosti, S.; Kramer, C.S.M.; Claas, F.H.J.; de Fijter, J.W.; Reinders, M.E.J.; Heidt, S. Implementation of molecular matching in transplantation requires further characterization of both immunogenicity and antigenicity of individual HLA epitopes. Hum. Immunol. 2022, 83(3), 256-263. [CrossRef]






Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).