Journal List > Ann Lab Med > v.43(2) > 1516080071

Shin, Lee, Kim, Choi, and Kim: Establishment of Reference Values for Non-HLA Antibodies in Patients With End-stage Renal Disease
Dear Editor,
Non-HLA expression varies with anatomic location and vessel type. Extensive kidney cell damage and apoptosis in patients with end-stage renal disease (ESRD) trigger the release of intracellular proteins that are inaccessible to antibodies. This reaction boosts autoantibody formation to eliminate these antigens from the circulation [1]. Thus, non-HLA antibody levels may differ between patients with ESRD and healthy individuals. We aimed to establish reference values for patients with ESRD and investigate the factors affecting their non-HLA antibody levels.
This retrospective observational study included non-transplant patients with ESRD aged ≥18 years from January 2015 to July 2020. The institutional review board (IRB) of Pusan National University Yangsan Hospital (Yangsan, Korea) approved the study (05-2021-248). All samples were obtained from the Biobank with informed consent under IRB-approved protocols. We used the single-antigen bead-based LABScreen assay (One Lambda, Canoga Park, CA, USA) following the manufacturer’s instructions to determine non-HLA antibody levels. To define positive and negative reactions, we used the manufacturer’s reference values, which were calculated using the median of the trimmed mean fluorescence output data plus twice the standard deviation in 95% of the 125 non-transplant patients. We calculated reference values using the same method and our study data. Statistical analyses were performed using the MedCalc Statistical Software version 18.11.3 (MedCalc, Ostend, Belgium). Statistical significance was set at P<0.05.
In the 241 patients, the antibody positivity rates based on the manufacturer’s and our reference values ranged 0.4%–97.1% and 10.3%–14.9%, respectively (Table 1). More than 50% of the patients tested positive for interferon gamma (IFNG), protein kinase C (PRKCH), regenerating islet-derived protein 3 alpha (REG3A), and vimentin (VM) antibodies based on the manufacturer’s reference values. The positivity rates of 22 antibodies calculated based on the manufacturer’s and our reference values differed significantly (Table 1).
All patients had one or more antibodies based on the manufacturer’s reference values; however, 30 patients lacked the antibodies assessed according to our reference values. Moreover, 186 patients had <10 antibodies (including 47 patients with only one antibody), and 25 patients had ≥10 antibodies (including four patients with >20 antibodies) according to our reference values. Only glutathione S-transferase theta 1 (GSTT1) antibody levels were higher in women than in men (1,513.8 [124.4–15,970] median fluorescence intensity (MFI) vs. 816.3 [76.3–12,079.2] MFI). Only GSTT1, IFNG, and secretory phospholipase A2 receptor (PLA2R) antibody levels differed between older (≥50 years) and younger (<50 years) patients. Patients with preformed donor-specific antibodies (DSA) displayed higher chemokine (C-X-C motif) ligand 9 (CXCL9), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), and tumor necrosis factor alpha (TNFA) antibody levels than those without preformed DSA (Fig. 1).
There was no information about the individuals based on whom the manufacturer’s reference values were established. Therefore, we analyzed the distribution of non-HLA antibody levels in non-transplant patients with ESRD for use as reference values for patients undergoing kidney transplantation. Based on reference values, the healthy subjects displayed 3% to 5% positivity rate for non-HLA antibodies [1, 2]. Most previous studies used manufacturers’ reference values [3-5], and non-HLA antibodies are present in 95.2% of hypersensitized patients awaiting kidney transplantation (N=27) [4]. More than one non-HLA antibody has been identified in 13 patients with unexplained positive pre-transplant crossmatch testing results [6]. IFNG, PRKCH, REG3A, and VM antibodies were frequently detected in this study as well as in previous studies [3-5]. All patients had more than one antibody based on the manufacturer’s reference values. The positivity rates differed when using the reference values established for patients with ESRD.
CXCL9 and TNFA are related to T-cell reactivity, whereas CXCL9, a proinflammatory chemokine, is produced in response to IFNG. High pre-transplant CXCL9 levels in kidney transplant recipients can predict acute rejection and 5-year graft survival [7]. Tissue injury, alloimmune injury, and other injury types, including those induced by the use of immunosuppressants, after transplantation can cause the exposure of neo-antigens, which can induce the production of non-HLA antibodies [8], thus affecting prognosis [9] and warranting research on de novo non-HLA antibodies.
The positivity rates of non-HLA antibodies, including IFNG, PRKCH, REG3A, and VM antibodies, were high in patients with ESRD according to the manufacturer’s reference values. We observed differences in certain non-HLA antibody levels according to sex, age, and the presence of DSA. Our findings indicate the need for appropriate reference values for patients with ESRD and revealed the clinical significance of non-HLA antibodies for ESRD patients awaiting transplant by confirming true positivity rates of non-HLA antibodies.

ACKNOWLEDGEMENTS

None.

Notes

AUTHOR CONTRIBUTIONS

Lee HJ and Kim HH designed the study. Kim IY, Choi BH, Kim IY, and Choi BH were involved in data collection. Lee HJ and Shin KH analyzed the data. Lee HJ and Shin KH wrote the manuscript. All authors reviewed and approved the final version of the manuscript.

CONFLICTS OF INTEREST

None declared.

RESEARCH FUNDING

This study was supported by a National Research Foundation of Korea Grant funded by the Korean Government (grant No. NRF-2019R1C1C10073788) and a Pusan National University Research Grant, 2021.

REFERENCES

1. Kamburova EG, Kardol-Hoefnagel T, Wisse BW, Joosten I, Allebes WA, van der Meer A, et al. 2018; Development and validation of a multiplex non-HLA antibody assay for the screening of kidney transplant recipients. Front Immunol. 9:3002. DOI: 10.3389/fimmu.2018.03002. PMID: 30631326. PMCID: PMC6315148.
crossref
2. Kamburova EG, Gruijters ML, Kardol-Hoefnagel T, Wisse BW, Joosten I, Allebes WA, et al. 2019; Antibodies against ARHGDIB are associated with long‐term kidney graft loss. Am J Transplant. 19:3335–44. DOI: 10.1111/ajt.15493. PMID: 31194283. PMCID: PMC6899679.
crossref
3. Rampersad C, Shaw J, Gibson IW, Wiebe C, Rush DN, Nickerson PW, et al. 2020; Early antibody-mediated kidney transplant rejection associated with anti-vimentin antibodies: a case report. Am J Kidney Dis. 75:138–43. DOI: 10.1053/j.ajkd.2019.06.010. PMID: 31515140.
crossref
4. Kang H, Yoo J, Lee SY, Oh EJ. 2021; Causes of positive pretransplant crossmatches in the absence of donor-specific anti-human leukocyte antigen antibodies: a single-center experience. Ann Lab Med. 41:429–35. DOI: 10.3343/alm.2021.41.4.429. PMID: 33536364. PMCID: PMC7884190.
crossref
5. Miura K, Shirai Y, Kaneko N, Yabuuchi T, Ishizuka K, Horita S, et al. Chronic active antibody-mediated rejection with linear IgG deposition on glomerular capillaries in a kidney transplant recipient. Nephron. 2020; 144(Sl) 1:97–101. DOI: 10.1159/000511322. PMID: 33238286.
crossref
6. Riesco L, Irure J, Rodrigo E, Guiral S, Ruiz JC, Gómez J, et al. 2019; Anti-perlecan antibodies and acute humoral rejection in hypersensitized patients without forbidden HLA specificities after kidney transplantation. Transpl Immunol. 52:53–6. DOI: 10.1016/j.trim.2018.11.002. PMID: 30458294.
crossref
7. Rotondi M, Netti GS, Lazzeri E, Stallone G, Bertoni E, Chiovato L, et al. 2010; High pretransplant serum levels of CXCL9 are associated with increased risk of acute rejection and graft failure in kidney graft recipients. Transpl Int. 23:465–75. DOI: 10.1111/j.1432-2277.2009.01006.x. PMID: 19929857.
crossref
8. Zhang X, Reinsmoen NL. 2017; Impact of non-human leukocyte antigen-specific antibodies in kidney and heart transplantation. Front Immunol. 8:434. DOI: 10.3389/fimmu.2017.00434. PMID: 28450866. PMCID: PMC5389972.
crossref
9. Cardinal H, Dieudé M, Hébert MJ. 2017; The emerging importance of non-HLA autoantibodies in kidney transplant complications. J Am Soc Nephrol. 28:400–6. DOI: 10.1681/ASN.2016070756. PMID: 27798244. PMCID: PMC5280028.
crossref

Fig. 1
Non-HLA antibody levels according to the pre-DSA status. (A) CXCL9, (B) GAPDH, and (C) TNFA levels in patients with and without pre-DSA (median [range]: CXCL9, 197.7 [43.0–4102.7] vs. 135.1 [23.1–3168.2]; GAPDH, 504.6 [72.7–11490.2] vs. 311.6 [27.2–7732.8]; TNFA, 457.6 [159–4629.5] vs. 359.3 [54.7–10403.3]).
Abbreviations: CXCL9, C-X-C motif chemokine 9; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; MFI, median fluorescence intensity; TNFA, tumor necrosis factor alpha; DSA, donor-specific antibodies.
alm-43-2-214-f1.tif
Table 1
Positivity rates for 32 non-HLA antibodies based on the manufacturer’s reference values (95%) and those established in the present study (N=241)
Antibody target Manufacturer Current study P


Reference values (MFI) N of positive cases (%) Reference values (MFI) N of positive cases (%)
AGRIN 504 13 (5.3) 308 32 (13.3) 0.004
AGT 1,641 50 (20.7) 2,415 30 (12.4) 0.020
ARHGDIB 3,918 12 (5.0) 1,897 26 (10.8) 0.027
AURKA 4,892 15 (6.2) 3,360 33 (13.6) 0.009
CD36 1,591 11 (4.5) 569 27 (11.2) 0.010
CHAF1B 11,722 6 (2.5) 6,324 30 (12.4) < 0.001
CSCL9 575 29 (12.0) 563 31 (12.8) 0.890
CXCL10 285 73 (30.3) 433 28 (11.6) < 0.001
CXCL11 309 96 (39.8) 574 28 (11.6) < 0.001
EIF2A 6,901 7 (2.9) 3,249 36 (14.9) < 0.001
ENO 4,218 50 (20.7) 5,341 35 (14.5) 0.094
FLRT 688 78 (32.4) 1,225 29 (12.0) < 0.001
GAPDH 508 75 (31.1) 1,345 27 (11.2) < 0.001
GDNF 1,004 14 (5.8) 733 31 (12.8) 0.012
GSTT1 6,136 29 (12.0) 5,025 36 (14.9) 0.424
HNRNPK 845 102 (42.3) 1,578 25 (10.3) < 0.001
IFIH1 3,870 28 (11.6) 3,428 33 (13.6) 0.584
IFNG 498 128 (53.1) 1,090 27 (11.2) < 0.001
LG3 4,154 10 (4.1) 1,900 31 (12.8) 0.001
LMNA 6,633 12 (5.0) 4,111 31 (12.8) 0.002
LMNB 2,065 24 (10.0) 1,804 28 (11.6) 0.660
Myosin 9,341 5 (2.1) 6,619 28 (11.6) < 0.001
PECR 4,120 42 (17.4) 4,743 34 (14.1) 0.382
PLA2R 195 24 (10.0) 180 28 (11.6) 0.660
PPIA 3,292 39 (16.2) 3,657 34 (14.1) 0.612
PRKCH 1,048 151 (62.6) 3,663 27 (11.2) < 0.001
PRKCZ 9,104 30 (12.4) 9,334 27 (11.2) 0.778
PTPRN 3,042 26 (10.8) 2,648 34 (14.1) 0.334
REG3A 86 234 (97.1) 676 27 (11.2) < 0.001
TNFA 5,331 1 (0.4) 932 28 (11.6) < 0.001
TUBA1B 1,987 17 (7.0) 1,318 28 (11.6) < 0.001
VM 820 125 (51.9) 3,092 30 (12.4) < 0.001

Abbreviations: AGRIN, agrin; AGT, angiotensinogen; ARHGDIB, rho GDP dissociation inhibitor 2; AURKA, aurora kinase A-interacting protein; CD36, platelet glycoprotein 4; CHAF1B, chromatin assembly factor 1 subunit B; CXCL10, C-X-C motif chemokine 10; CXCL11, C-X-C motif chemokine 11; CXCL9, C-X-C motif chemokine 9; EIF2A, eukaryotic translation initiation factor 2A; ENO1, α-enolase; FLRT, fibronectin leucine-rich transmembrane protein; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; GDNF, glial cell line-derived neurotrophic factor; GSTT1, glutathione S-transferase theta 1; HNRNPK, heterogeneous nuclear ribonucleoprotein K; IFIH1, interferon-induced helicase C domain-containing protein 1; IFNG, interferon gamma; LG3, basement membrane-specific heparan sulfate proteoglycan core protein; LMNA, prelamin-A/C; LMNB, lamin-B1; myosin, cardiac-type myosin-binding protein C; MFI, median fluorescence intensity; PECR, peroxisomal trans-2-enoyl-CoA reductase; PLA2R, secretory phospholipase A2 receptor; PPIA, peptidyl-prolyl cis-trans isomerase A; PRKCH, protein kinase C eta type; PRKCZ, protein kinase C zeta type; PTPRN, receptor-type tyrosine-protein phosphatase-like N; REG3A, regenerating islet-derived protein 3 alpha; TNFA, tumor necrosis factor alpha; TUBA1B, tubulin alpha 1B chain; VM, vimentin.

TOOLS
Similar articles