Abstract
Background
We carried out a questionnaire survey for laboratories performing human leukocyte antigen-crossmatch (HLA-XM) to provide a basis for laboratory standardization of HLA-XM tests in Korea.
Methods
The questionnaires were distributed to 51 HLA laboratories participating in the HLA-XM part of the HLA proficiency survey program organized by the Korean Society for Laboratory Medicine and replies from 50 laboratories were analyzed. The questionnaires included following items: 1) HLA-XM methods performed and annual number of tests, 2) types of the specimen and lymphocyte separation methods, 3) test procedures and reagents for complement-dependent cytotoxicity crossmatch (CDC-XM) and flow cytometry crossmatch (FCXM).
Results
The number of laboratories performing anti-human globulin (AHG) CDC-XM (47/49, 96%) and FCXM (30/50, 60%) was considerably increased compared to the 2005 survey (AHG CDC-XM, 35/43, 81%; FCXM, 7/44, 16%). As for the annual number of XM tests, more than 50% of the laboratories were low volume laboratories performing ≤50 tests, and only 10% of the laboratories were performing >500 tests. For cell isolation methods, negative selection was used by 43% (21/49) of laboratories performing CDC-XM. Number of cells reacted per 1 μL of serum varied among different laboratories in both CDC-XM (1,000–8,000) and FCXM tests (1,300-20,000). For the interpretation of FCXM, log fluorescence ratio (26/30, 87%) was more commonly used than channel shift values (5/30, 17%).
REFERENCES
1. Tait BD, Susal C, Gebel HM, Nickerson PW, Zachary AA, Claas FH, et al. Consensus guidelines on the testing and clinical management issues associated with HLA and non-HLA antibodies in transplantation. Transplantation. 2013; 95:19–47.
2. Hopkins KA. The basic lymphocyte microcytotoxicity tests: standard and AHG enhancement. Hahn AB, Land GA, Strothman RM, editors. ASHI laboratory manual. 4th ed.American Society for Histocompatibility and Immunogenetics;2000. I.C.1.1-I.C.1.7.
3. Bray RA, Lebeck LK, Gebel HM. The fow cytometric crossmatch. Dual-color analysis of T cell and B cell reactivities. Transplantation. 1989; 48:834–40.
4. Scornik JC, Bray RA, Pollack MS, Cook DJ, Marrari M, Duquesnoy R, et al. Multicenter evaluation of the fow cytometry T-cell crossmatch: results from the American Society of Histocompatibility and Immunogenetics-College of American Pathologists profciency testing program. Transplantation. 1997; 63:1440–5.
5. Gebel HM, Bray RA. Sensitization and sensitivity: defning the unsensitized patient. Transplantation. 2000; 69:1370–4.
6. Bray RA, Pollack MS, Gebel HM. The HLA System. Fung MK, Grossman BJ, editors. eds.Technical manual. 18th ed.Bethesda: American Association of Blood Banks;2014. p. 475–97.
7. Park MH, Whang DH, Kim BC. A two-year study on the HLA typing profciency survey in Korea, 1996-1998. Korean J Clin Pathol. 1999; 19:714–22.
8. Park MH, Kim BC, Han BY. Results of the HLA typing profciency survey in Korea, 2000-2002. Korean J Lab Med. 2005; 25:329–39.
9. Park MH. A questionnaire survey of HLA laboratories in Korea (1993). J Korean Soc Transplant. 1993; 7:245–8.
10. Park MH, Yang YS. A questionnaire survey of HLA laboratories in Korea (1995). Korean J Lab Med. 1996; 16:987–1000.
11. Park MH, Whang DH. A questionnaire survey of HLA laboratories in Korea (1997). Korean J Lab Med. 1998; 18:650–9.
12. Lim JH, Hwang SH, Oh HB. A questionnaire survey of HLA laboratories in Korea (2005). Korean J Lab Med. 2005; 25:425–33.
14. Ayna TK, Soyoz M, Kurtulmus Y, Dogan SM, Ozyilmaz B, Tugmen C, et al. Comparison of complement-dependent cytotoxic and fow-cy-tometry crossmatch results before cadaveric kidney transplantation. Transplant Proc. 2013; 45:878–80.
15. Tian J, Li D, Alberghini TV, Rewinski M, Guo N, Bow LM. Pre-transplant low level HLA antibody shows a composite poor outcome in longterm outcome of renal transplant recipients. Ren Fail. 2015; 37:198–202.
16. Mongkolsuk T, Ingsathit A, Worawichawong S, Jirasiritham S, Kitpoka P, Thammanichanond D. Shared molecular eplet stimulates acute antibody-mediated rejection in a kidney transplant recipient with low-level donor-specifc antibodies: a case report. Transplant Proc. 2014; 46:644–7.
17. Wu P, Jin J, Everly MJ, Lin C, Terasaki PI, Chen J. Impact of alloantibody strength in crossmatch negative DSA positive kidney transplantation. Clin Biochem. 2013; 46:1389–93.
18. Bachler K, Amico P, Honger G, Bielmann D, Hopfer H, Mihatsch MJ, et al. Effcacy of induction therapy with ATG and intravenous immunoglobulins in patients with low-level donor-specifc HLA-antibodies. Am J Transplant. 2010; 10:1254–62.
19. Kute VB, Vanikar AV, Trivedi HL, Shah PR, Goplani KR, Patel HV, et al. Desensitization protocol for highly sensitized renal transplant patients: a single-center experience. Saudi J Kidney Dis Transpl. 2011; 22:662–9.
20. Jeong JC, Jambaldorj E, Kwon HY, Kim MG, Im HJ, Jeon HJ, et al. Desensitization using bortezomib and high-dose immunoglobulin increases rate of deceased donor kidney transplantation. Medicine (Baltimore). 2016; 95:e2635.
21. Saiz PA, Blanck CE. Lymphocyte crossmatch: extended incubation and antiglobulin augmented. Hahn AB, Land GA, Strothman RM, editors. ASHI laboratory manual. 4th ed.American Society for Histocompatibility and Immunogenetics;2000. I.C.9.1-I.C.9.5.
22. Lou C, Garovoy MR. Current crossmatch techniques. Moulds JM, Fawcett KJ, Garner RJ, editors. Scientifc and technical aspect of the major histocompatibility complex. Arlington: American Association of Blood Banks;1989. p. 187–205.
23. Hamrick CW, Lebeck LK. Flow cytometric T and B cell crossmatching. Hahn AB, Land GA, Strothman RM, editors. ASHI laboratory manual. 4th ed.American Society for Histocompatibility and Immunogenetics;2000. VI.B.4.1-VI.B.4.5.
24. Book BK, Agarwal A, Milgrom AB, Bearden CM, Sidner RA, Higgins NG, et al. New crossmatch technique eliminates interference by humanized and chimeric monoclonal antibodies. Transplant Proc. 2005; 37:640–2.
25. Lobo PI, Spencer CE, Isaacs RB, McCullough C. Hyperacute renal allograft rejection from anti-HLA class 1 antibody to B cells–antibody detection by two color FCXM was possible only after using pronase-digested donor lymphocytes. Transpl Int. 1997; 10:69–73.
26. Vaidya S, Cooper TY, Stewart D, Gugliuzza K, Daller J, Bray RA. Pronase improves detection of HLA antibodies in fow crossmatches. Transplant Proc. 2001; 33:473–4.
27. Vaidya S, Cooper TY, Avandsalehi J, Barnes T, Brooks K, Hymel P, et al. Improved fow cytometric detection of HLA alloantibodies using pronase: potential implications in renal transplantation. Transplantation. 2001; 71:422–8.
28. Lee YS, Won DI. Analysis of positive fow cytometric crossmatch in organ transplantation. Lab Med Online. 2011; 1:43–50.
29. Ta M, Scornik JC. Improved fow cytometric detection of donor-specifc HLA class II antibodies by heat inactivation. Transplantation. 2002; 73:1611–4.
30. Al-Muzairai IA, Mansour M, Almajed L, Alkanderi N, Alshatti N, Sam-han M. Heat inactivation can differentiate between IgG and IgM antibodies in the pretransplant cross match. Transplant Proc. 2008; 40:2198–9.
31. Hetrick SJ, Schillinger KP, Zachary AA, Jackson AM. Impact of pronase on fow cytometric crossmatch outcome. Hum Immunol. 2011; 72:330–6.
32. Park H, Lim YM, Han BY, Hyun J, Song EY, Park MH. Frequent false-positive reactions in pronase-treated T-cell fow cytometric crossmatch tests. Transplant Proc. 2012; 44:87–90.
Table 1.
T-CDC∗ | B-CDC∗ | T-FC† | B-FC† | No. (%) |
---|---|---|---|---|
+ | – | – | – | 8 (16) |
+ | + | – | – | 12 (24) |
+ | + | + | – | 6 (12) |
+ | + | + | + | 17 (34) |
+ | – | + | – | 1 (2) |
+ | – | + | + | 5 (10) |
– | – | + | + | 1 (2) |
Table 2.
Crossmatch | NIH | Amos wash | Long incubation | AHG | No. (%) |
---|---|---|---|---|---|
T-CDC∗ | + | – | – | + | 39 (68) |
+ | – | + | + | 4 (8) | |
+ | – | + | – | 2 (4) | |
– | – | + | + | 2 (4) | |
– | + | + | + | 1 (2) | |
– | – | – | + | 1 (2) | |
– | – | – | – | 1 (2) | |
B-CDC† | + | – | – | – | 32 (64) |
+ | + | – | – | 1 (2) | |
+ | – | – | + | 2 (4) | |
– | – | – | – | 15 (30) |
Table 3.
Table 4.
Crossmatch methods (N) | Types of the cells (N, %) | Nylon wool No. (%) | Negative selection No. (%) | Positive selection No. (%) | Nylon wool or negative selection No. (%) |
---|---|---|---|---|---|
T-CDC (49) | MNC∗ (8, 16) | ||||
T cell (34, 69) | 15 (31) | 11 (22) | 5 (10) | 3 (6) | |
Total lymphocyte (7, 14) | 0 (0) | 7 (14) | 0 (0) | 0 (0) | |
B-CDC (35) | MNC∗ (1, 3) | ||||
B cell (34, 97) | 14 (49) | 12 (34) | 5 (14) | 3 (9) | |
T-FC (30) | MNC∗ (20, 67) | ||||
T cell (3, 10) | 0 (0) | 2 (7) | 0 (0) | 1 (3) | |
Total lymphocyte (7, 23) | 0 (0) | 7 (23) | 0 (0) | 0 (0) | |
B-FC (23) | MNC∗ (15, 65) | ||||
B cell (2, 9) | 0 (0) | 1 (4) | 0 (0) | 1 (4) | |
Total lymphocyte (6, 26) | 0 (0) | 6 (26) | 0 (0) | 0 (0) |
Table 5.
No. of cells per well | Volume of sera per well (uL) | No. (%) |
---|---|---|
2,000-3,000 | 1 | 35 (71) |
2,000-3,000 | 1.4 | 1 (2) |
2,000-3,000 | 2 | 3 (6) |
2,000-3,000 | 1 or 2∗ | 1 (2) |
2,000-5,000 | 1 | 1 (2) |
2,000-5,000 | 2 | 1 (2) |
3,000-4,000 | 1 | 2 (4) |
3,000-5,000 | 1 | 2 (4) |
5,000 | 2 | 1 (2) |
7,000 | 2 | 1 (2) |
8,000 | 1 | 1 (2) |
Table 6.
Media | Percentage of FCS used, No.(%) | Total No. (%) | ||||||
---|---|---|---|---|---|---|---|---|
0% | 2% | 3% | 5% | 10% | 15% | 20% | ||
RPMI 1640 | 6 (12) | 3 (6) | 1 (2) | 16 (33) | 8 (16) | 2 (4) | 1 (2) | 37 (76) |
IMDM | 3 (6) | 6 (12) | 9 (18) | |||||
McCoy | 2 (4) | 2 (4) | ||||||
PBS | 1 (2) | 1 (2) |
Table 7.
Table 8.
Table 9.
Cell and serum incubation | Conjugate incubation | No. (%) | ||
---|---|---|---|---|
Temperature | Time, minutes | Temperature | Time, minutes | |
RT | 15 | RT | 20 | 1 (3) |
RT | 20 | RT | 20 | 4 (13) |
RT | 20 | 4°C | 30 | 2 (7) |
RT | 30 | RT | 15 | 1 (3) |
RT | 30 | RT | 20 | 5 (17) |
RT | 30 | RT | 30 | 3 (10) |
RT | 30 | 4°C | 20 | 2 (7) |
RT | 30 | 4°C | 30 | 5 (17) |
RT | 60 | RT | 45 | 1 (3) |
RT | 30∗/60† | RT | 30∗/60† | 1 (3) |
37°C | 20 | RT | 20 | 2 (7) |
37°C | 20 | RT | 30 | 1 (3) |
37°C | 30 | 4°C | 30 | 2 (7) |