Incidence and impact of anti-HLA-DP antibodies in renal transplantation

Donor-specific antibodies against HLA-C, HLA-DP and HLA-DQ and their implications in kidney transplantation

HLA-C, HLA-DP and HLA-DQ are thought to be benign due to low expression and few initial negative studies. Historically, most allocation programs used HLA-A, HLA-B and HLA-DR antigens for matching. With the advent and use of single-bead antigen assays, more was learned about donor-specific antibodies (DSAs) against these antigens. Interest in these antigens and antibodies grew when cases of acute antibody-mediated rejection (AMR), mixed rejections, chronic AMR, and reduced graft survival were reported with DSAs against these antigens. Although the deleterious effects of these DSAs are more pronounced in retransplants, harmful effects have also been observed in first-time recipients. DSAs against each of these antigens can trigger rejection alone. Their combination with DSAs against HLA-A, HLA-B and HLA-DR can cause more damage. It has been shown that strategies that reduce mismatches for these antigen lead to fewer rejections and better graft survival. There is a need for greater consensus on the universal typing of these antigens prior to transplantation for better patient and graft outcomes. This review focuses on the interaction of these antigens with lymphocytes and killer immunoglobulin receptors, arguments for not typing them, detailed analyses of the literature about their harmful effects, potential strategies moving forward, and recommendations for the future.

Refining cPRA calculation to improve HLA compatibility assessment in organ transplantation: A detailed picture of the Paris waiting list

The determination of panel reactive antibodies (cPRA) scores plays a critical role in assessing the immunological compatibility between organ transplant recipients and potential donors. Traditional cPRA methods focus on a limited number of HLA loci using physical cytotoxicity tests. However, advancements such as the Luminex single antigen (LSA) assay, which uses mean fluorescence intensity (MFI) of individualised HLA antigens for antibody evaluation, provide a foundation for a more precise assessment. We developed cPRAdictor, a novel cPRA calculation tool using a large series of HLA-type individuals in France with NGS. cPRAdictor was applied to a cohort of 5962 kidney transplant candidates in Paris. We analysed how extending the range of HLA specificities could affect cPRA values. Implementing cPRAdictor revealed and allowed quantification of the significant discrepancies in cPRA values that appeared when HLA loci C and DP, and antigen-specific antibodies were taken into account. Notably, over 43% of the immunised transplant candidates showed an increase in calculated cPRA values when considering C/DP loci and antigen-specific antibodies, negatively impacting their eligibility and prioritisation in the transplantation programme. These findings highlight the necessity of revisiting cPRA calculation methodologies to include a broader spectrum of immunological data, as more exhaustive and precise information regarding anti-HLA antibodies in patients' sera and donor and recipient HLA typing are available prospectively. This will strongly improve both accuracy and equity at the organ allocation step, especially for highly sensitised candidates for whom organ offers are very limited in number.

HLA-DPB1 genotype variants predict DP molecule cell surface expression and DP donor specific antibody binding capacity

The contribution of alloresponses to mismatched HLA-DP in solid organ transplantation and hematopoietic stem cell transplantation (HCT) has been well documented. Exploring the regulatory mechanisms of DPB1 alleles has become an important question to be answered. In this study, our initial investigation focused on examining the correlation between the rs9277534G/A SNP and DPB1 mRNA expression. The result showed that there was a significant increase in DPB1 mRNA expression in B lymphoblastoid cell lines (BLCLs) with the rs9277534GG genotype compared to rs9277534AA genotype. In addition, B cells with the rs9277534GG exhibited significantly higher DP protein expression than those carrying the rs9277534AA genotype in primary B cells. Furthermore, we observed a significant upregulation of DP expression in B cells following treatment with Interleukin 13 (IL-13) compared to untreated B cells carrying rs9277534GG-linked DPB1 alleles. Fluorescence in situ hybridization (FISH) analysis of DPB1 in BLCL demonstrated significant differences in both the cytoplasmic (p=0.0003) and nuclear (p=0.0001) localization of DP mRNA expression comparing DPB1*04:01 (rs9277534AA) and DPB1*05:01 (rs9277534GG) homozygous cells. The study of the correlation between differential DPB1 expression and long non-coding RNAs (lncRNAs) showed that lnc-HLA-DPB1-13:1 is strongly associated with DP expression (r=0.85), suggesting the potential involvement of lncRNA in regulating DP expression. The correlation of DP donor specific antibody (DSA) with B cell flow crossmatch (B-FCXM) results showed a better linear correlation of DP DSA against GG and AG donor cells (R2 = 0.4243, p=0.0025 and R2 = 0.6172, p=0.0003, respectively), compared to DSA against AA donor cells (R2 = 0.0649, p=0.4244). This explained why strong DP DSA with a low expression DP leads to negative B-FCXM. In conclusion, this study provides evidence supporting the involvement of lncRNA in modulating HLA-DP expression, shedding lights on the intricate regulatory mechanisms of DP, particularly under inflammatory conditions in transplantation.

Impact of Preformed Donor-Specific Anti-HLA-Cw and Anti-HLA-DP Antibodies on Acute Antibody-Mediated Rejection in Kidney Transplantation

Given the risk of rejection, the presence of preformed donor specific antibodies (DSA) contraindicates transplantation in most allocation systems. However, HLA-Cw and -DP DSA escape this censorship. We performed a multicentric observational study, in which the objective was to determinate risk factors of acute antibody-mediated rejection (aABMR) in recipients transplanted with preformed isolated Cw- or DP-DSA. Between 2010 and 2019, 183 patients were transplanted with a preformed isolated Cw- or DP-DSA (92 Cw-DSA; 91 DP-DSA). At 2 years, the incidence of aABMR was 12% in the Cw-DSA group, versus 28% in the DP-DSA group. Using multivariable Cox regression model, the presence of a preformed DP-DSA was associated with an increased risk of aABMR (HR = 2.32 [1.21-4.45 (p = 0.001)]) compared with Cw-DSA. We also observed a significant association between the DSA's MFI on the day of transplant and the risk of aABMR (HR = 1.09 [1.08-1.18], p = 0.032), whatever the DSA was. Interaction term analysis found an increased risk of aABMR in the DP-DSA group compared with Cw-DSA, but only for MFI below 3,000. These results may plead for taking these antibodies into account in the allocation algorithms, in the same way as other DSA.

HLA-DPB1 molecular mismatches are risk factors for acute rejection and low 5-year graft function in first kidney transplants

The study aimed to investigate the impact of HLA-DPB1 allelic and molecular mismatches on the occurrence of acute rejection (AR) and low 5-year graft function (5Y-GF) in first kidney transplant (KT) recipients. This is a single center retrospective study of 130 deceased donor KT recipients transplanted between 2014 and 2016. HLA-DPB1 allelic MM and the following molecular MM (mMM) were analyzed: expression MM with the high expression G allele in the donor; T cell epitope MM (TCE MM); epitope MM (EMM), considering all six hypervariable regions (EMM-ABCDEF HVR), or only ABEF regions (EMM-ABEF HVR); eplet MM (EpMM); antibody-verified eplet MM (AbVer EpMM); and solvent accessible amino acid MM (SAMM). There was no association of allelic MM with AR or 5Y-GF. The variables independently associated (Cox regression analyses) with AR were high donor final creatinine, nonpermissive TCE MM, ABCDEF EMM load ≥6, EpMM load ≥6; SAMM load ≥5, and AbVer EpMM load ≥3. No association between any HLA-DPB1 mMM and 5Y-GF was observed when all 130 transplant recipients were considered. However, when transplants from expanded criteria donors were excluded, independent associations were detected (logistic regression analyses) with AbVerEpMM load ≥2, SAMM load ≥7, cerebro-vascular death, donor age, and AR. To our knowledge, this is the first study that shows that some HLA-DPB1 mMM are associated with AR and low 5Y-GF in a population of exclusively first kidney transplant recipients.

The impact of preformed and de novo HLA-DP antibodies in renal transplantation, a meta-analysis

The impact of preformed and de novo HLA-DP antibodies after renal transplantation remains controversial and unclear. To address the clinical relevance of HLA-DP antibodies on the outcomes in renal transplantation, we performed a random effect model meta-analysis through a systematic review from inception to December 31, 2021. The outcome was graft loss or acute rejection. Finally five articles were identified as our inclusion criteria. The study which reported 1166 patients included in the final meta-analysis of de novo HLA-DP antibodies after transplantation showed an increased risk of graft loss or acute rejection (OR = 3.6, 95% CI = 1.6-8.10, P = 0.002, I²  = 52%). In the subgroup study, we established that patients with HLA-DP DSA after renal transplantation had a 8.85-fold increased risk of graft loss or acute rejection compared with patients without HLA-DP DSA (p = 0.003).While as for HLA-DP NDSA after renal transplantation, 2.73-fold increased risk of graft loss or acute rejection compared with patients without HLA-DP antibodies (p = 0.04). Besides, the studies which reported 487 patients included in the final meta-analysis of preformed HLA-DP antibodies did not show an increased risk of graft loss or acute rejection (OR = 4.55, 95% CI = 0.79-26.16, P = 0.09, I²  = 57%). The results of our meta-analysis suggested that de novo HLA-DP antibodies especially de novo HLA-DP DSA had a significant deleterious impact on the renal transplant risk of graft loss or acute rejection, while preformed HLA-DP antibodies had a no significant deleterious impact on the risk. The routine detection of HLA-DP antibodies after renal transplantation seems to be very important and may be as one of noninvasive biomarker-guided risk stratification.

Seeking Standardized Definitions for HLA-incompatible Kidney Transplants: A Systematic Review

BACKGROUND

There is no standard definition for "HLA incompatible" transplants. For the first time, we systematically assessed how HLA incompatibility was defined in contemporary peer-reviewed publications and its prognostic implication to transplant outcomes.

METHODS

We combined 2 independent searches of MEDLINE, EMBASE, and the Cochrane Library from 2015 to 2019. Content-expert reviewers screened for original research on outcomes of HLA-incompatible transplants (defined as allele or molecular mismatch and solid-phase or cell-based assays). We ascertained the completeness of reporting on a predefined set of variables assessing HLA incompatibility, therapies, and outcomes. Given significant heterogeneity, we conducted narrative synthesis and assessed risk of bias in studies examining the association between death-censored graft failure and HLA incompatibility.

RESULTS

Of 6656 screened articles, 163 evaluated transplant outcomes by HLA incompatibility. Most articles reported on cytotoxic/flow T-cell crossmatches (n = 98). Molecular genotypes were reported for selected loci at the allele-group level. Sixteen articles reported on epitope compatibility. Pretransplant donor-specific HLA antibodies were often considered (n = 143); yet there was heterogeneity in sample handling, assay procedure, and incomplete reporting on donor-specific HLA antibodies assignment. Induction (n = 129) and maintenance immunosuppression (n = 140) were frequently mentioned but less so rejection treatment (n = 72) and desensitization (n = 70). Studies assessing death-censored graft failure risk by HLA incompatibility were vulnerable to bias in the participant, predictor, and analysis domains.

CONCLUSIONS

Optimization of transplant outcomes and personalized care depends on accurate HLA compatibility assessment. Reporting on a standard set of variables will help assess generalizability of research, allow knowledge synthesis, and facilitate international collaboration in clinical trials.

Virtual crossmatching and epitope analysis in kidney transplantation: What the physician involved in kidney transplantation should know?

Solid-phase single antigen bead (SAB) assay for detection of anti-human leukocyte antigen (HLA) antibodies and high-resolution HLA typing have enabled tremendous progress in virtual crossmatch (VXM) technology in recent years. However, misinterpretation of the SAB assay may result in detrimental consequences after kidney transplantation. Meanwhile, epitope analysis could be an effective method to estimate immunizing eplets, which may provide ancillary information for better understanding of the SAB assay. To perform epitope analysis appropriately, it is necessary to understand the basic principles related to histocompatibility testing and the characteristics of the SAB assay. Therefore, knowledge of the properties and limitations of the SAB assay is critical. In this review, we aim to describe the fundamental concepts regarding immunobiological assessment, including HLA, anti-HLA antibodies, and SAB assay, and explain epitope analysis using examples.

Isolated Pre-existing HLA-DP Donor-Specific Antibodies are Associated With Poorer Outcomes in Renal Transplantation

Introduction

The importance of donor-specific antibodies (DSAs) in renal transplantation has long been recognized, but the significance of human leukocyte antigen (HLA)-DP antibodies remains less clear. We performed a retrospective single center study of renal transplants with pre-existing isolated HLA-DP-DSAs to assess clinical outcomes.

Methods

Twenty-three patients with isolated HLA-DP-DSAs were compared with 3 control groups as follows: standard immunological risk (calculated reaction frequency [cRF] < 85%, no current or historical DSA, no repeat mismatched antigens with previous transplants, n = 46), highly sensitized (cRF > 85%, n = 27), and patients with HLA-DP antibodies that were not donor-specific (n = 18). Univariate and multivariate analyses were performed comparing antibody-mediated rejection (ABMR)-free and graft survival. Factors in the final multivariable models included patient group, % cRF, B-cell flow crossmatch (BFXM) positivity and regrafts.

Results

Over a median follow-up of 1197 days, 65% of HLA-DP-DSA patients had ABMR on indication biopsies, and 30% of HLA-DP-DSA patients lost their graft. Pre-existing HLA-DP DSAs remained the single factor associated with ABMR after multivariable analysis (hazard ratio [HR] = 9.578, P = 0.012). Patients with HLA-DP DSAs had increased microvascular scores (P = 0.0346) and worse transplant glomerulopathy (P = 0.015) on biopsy compared with the standard immunological risk group. Furthermore, flow crossmatch (FXM) positivity did not help inform on the risk of graft failure or ABMR in patients with preformed DP-DSA.

Conclusion

Transplants with pre-existing HLA-DP-DSAs should be considered high risk. Routine laboratory tests are unable to further risk stratify these patients. Recipients should be considered for intensified immunosuppression and closely monitored.

Elevated number of IL-21+ TFH and CD86+CD38+ B cells in blood of renal transplant recipients with AMR under conventional immuno-suppression

The objective of this study is to detect the number of different subsets of TFH and B cells in renal transplant recipients (RTR) with antibody-mediated acute rejection (AMR), acute rejection (AR), chronic rejection (CR), or transplant stable (TS). The present study was a prospective study. The numbers of ICOS +, PD-1+ and IL-21+ TFH, CD86+, CD38+, CD27+, and IgD- B cells in 21 patients with end-stage renal disease (ESRD) and post-transplant times were measured by flow cytometry. The level of serum IL-21 was detected by ELISA. The numbers of circulating CD4+CXCR5+, CD4+CXCR5+ICOS+, CD4+CXCR5+PD-1+, CD4+CXCR5+IL-21+ TFH, CD19+CD86+, and CD19 +CD86+CD38+ B cells as well as the level of serum IL-21 in the AMR, AR, and CR groups at post-transplantation were significantly higher than those at pre-transplantation. In contrast, the number of circulating CD19+CD27+IgD B cells was significantly increased in the TS groups in respect to the other groups. Moreover, the numbers of circulating CD4+CXCR5+IL-21+ TFH cells, CD19+CD86+CD38+ B cells as well as the level of serum IL-21 were positive related to the level of serum Cr while showing negative correlated with the values of eGFR in the AMR groups at post-transplantation for 4 and 12 weeks. Circulating TFH cells may be a biomarker in RTR with AMR, which can promote the differentiation of B cells into plasma cells by activating B cells, thereby promoting disease progression.

Emerging monitoring technologies in kidney transplantation

Non-invasive technologies to monitor kidney allograft health utilizing high-throughput assays of blood and urine specimens are emerging out of the research realm and slowly becoming part of everyday clinical practice. HLA epitope analysis and eplet mismatch score determination promise a more refined approach to the pre-transplant recipient-donor HLA matching that may lead to reduced rejection risk. High-resolution HLA typing and multiplex single antigen bead assays are identifying potential new offending HLA antibody subtypes. There is increasing recognition of the deleterious role non-HLA antibodies play in post-transplant outcomes. Donor-derived cell-free DNA detected by next-generation sequencing is a promising biomarker for kidney transplant rejection. Multi-omics techniques are shedding light on discrete genomic, transcriptomic, proteomic, and metabolomic signatures that correlate with and predict allograft outcomes. Over the next decade, a comprehensive approach to optimize kidney matching and monitor transplant recipients for acute and chronic graft dysfunction will likely involve a combination of those emerging technologies summarized in this review.

Analysis of de novo donor-specific HLA-DPB1 antibodies in kidney transplantation

HLA matching and avoidance of unacceptable mismatches are important aspects in the selection of donors for solid organ transplantation. The impact of HLA-DPB1 incompatibility on the outcomes of kidney transplantation is not fully understood. We investigated a potential effect of mismatching for HLA-DPB1 at allele, eplet, or Terasaki epitope (TerEp) level on the formation of de novo donor-specific antibodies (dnDSA) and also asked whether polymorphisms associated with HLA-DPB1 expression level may influence dnDSA induction. Furthermore, we analyzed the correlation between graft survival and HLA-DPB1 mismatches defined by different approaches. A cohort of 366 patients who received a kidney transplant at the Heidelberg University Hospital, Germany, with availability of pre- and post-transplant HLA antibody results by single antigen testing as well as of donor and recipient HLA-DPB1 high-resolution typing were analyzed retrospectively. Susceptibility to increased HLA-DPB1 expression was predicted by the linked dimorphism rs9277534 A/G of the HLA-DPB1 gene. Neither HLA-DPB1 mismatches at allele, eplet or TerEp level nor exposure to donor's high HLA-DPB1 expression were significantly associated with the risk of developing dnDSA against HLA-DPB1. However, HLA-DPB1 eplet and TerEp mismatches had a significant negative impact on graft survival (p < 0.001 and p = 0.003, respectively). Matching for HLA-DPB1 at epitope instead of allele level appears to have potential to improve graft survival in kidney transplantation.

A simple electronic tool for assessing amino acid sequence polymorphisms within exon-2 of HLA-DPB1 alleles

In November 2014, the OPTN/UNOS Board of Directors mandated that HLA-DPB1 typing be performed for all deceased donors. Currently, there are over 1,000 known HLA DPB1 alleles, yet fewer than 30 are represented on commonly used single antigen bead (SAB) solid phase antibody assays. Moreover, the official World Health Organization (WHO) nomenclature for the DPB1 locus does not permit assessment of structural relationships between alleles based on their names. Thus, for donor DPB1 alleles lacking a corresponding SAB, determining the compatibility between a donor-recipient pair when the recipient possesses DPB1 antibodies currently requires the use of manual sequence alignments. Multiple studies have reported that DPB1 alleles can be classified into serological-defined categories based on shared protein sequence motifs residing in distinct hypervariable regions. To date, six such motifs have been recognized. To address this problem, we developed a computer-assisted tool to compare donor and recipient DPB1 allele sequences, specifically those defined by DPB1 hypervariable region motifs located in exon 2 (http://dpreport.hlatools.org). This tool quickly identifies mismatched DPB1 motifs, and easily permits the identification of motif-based donor-specific antibodies (DSA) to DPB1.

The role of HLA-DP mismatches and donor specific HLA-DP antibodies in kidney transplantation: a case series

BACKGROUND

The impact of HLA-DP mismatches on renal allograft outcome is still poorly understood and is suggested to be less than that of the other HLA loci. The common association of HLA-DP donor-specific antibodies (DSA) with other DSA obviates the evaluation of the actual effect of HLA-DP DSA.

METHODS

From a large multicenter data collection, we retrospectively evaluated the significance of HLA-DP DSA on transplant outcome and the immunogenicity of HLA-DP eplet mismatches with respect to the induction of HLA-DP DSA. Furthermore, we evaluated the association between the MFI of HLA-DP antibodies detected in Luminex assays and the outcome of flowcytometric/complement-dependent cytotoxicity (CDC) crossmatches.

RESULTS

In patients with isolated pretransplant HLA-DP antibodies (N = 13), 6 experienced antibody-mediated rejection (AMR) and 3 patients lost their graft. In HLAMatchmaker analysis of HLA-DP mismatches (N = 72), HLA-DP DSA developed after cessation of immunosuppression in all cases with 84DEAV (N = 14), in 86% of cases with 85GPM (N = 6/7), in 50% of cases with 56E (N = 6/12) and in 40% of cases with 56A mismatch (N = 2/5). Correlation analysis between isolated HLA-DP DSA MFI and crossmatches (N = 90) showed negative crossmatch results with HLA-DP DSA MFI <2000 (N = 14). Below an MFI of 10,000 CDC crossmatches were also negative (N = 33). Above these MFI values both positive (N = 35) and negative (N = 16) crossmatch results were generated.

CONCLUSIONS

Isolated HLA-DP DSA are rare, yet constitute a significant risk for AMR. We identified high-risk eplet mismatches that can lead to HLA-DP DSA formation. We therefore recommend HLA-DP typing to perform HLA-DP DSA analysis before transplantation. HLA-DP DSA with high MFI were not always correlated with positive crossmatch results.

Bioinformatics analyses on the immune status of renal transplant patients, a systemic research of renal transplantation

BACKGROUND

Kidney transplantation is the most effective treatment for end-stage renal disease. Allograft rejections severely affect survivals of allograft kidneys and recipients.

METHODS

Using bioinformatics approaches, the present study was designed to investigate immune status in renal transplant recipients. Fifteen datasets from Gene Expression Omnibus (GEO) were collected and analysed. Analysis of gene enrichment and protein-protein interactions were also used.

RESULTS

There were 40 differentially expressed genes (DEGs) identified in chronic rejection group when compared with stable recipients, which were enriched in allograft rejection module. There were 135 DEGs identified in acute rejection patients, compared with stable recipients, in which most genes were enriched in allograft rejection and immune deficiency. There were 288 DEGs identified in stable recipients when compared to healthy subjects. Most genes were related to chemokine signalling pathway. In integrated comparisons, expressions of MHC molecules and immunoglobulins were increased in both acute and chronic rejection; expressions of LILRB and MAP 4 K1 were increased in acute rejection patients, but not in stable recipients. There were no overlapping DEGs in blood samples of transplant recipients.

CONCLUSION

By performing bioinformatics analysis on the immune status of kidney transplant patients, the present study reports several DEGs in the renal biopsy of transplant recipients, which are requested to be validated in clinical practice.

A Prognostic Tool for Individualized Prediction of Graft Failure Risk within Ten Years after Kidney Transplantation

Identification of patients at risk of kidney graft loss relies on early individual prediction of graft failure. Data from 616 kidney transplant recipients with a follow-up of at least one year were retrospectively studied. A joint latent class model investigating the impact of serum creatinine (Scr) time-trajectories and onset of de novo donor-specific anti-HLA antibody (dnDSA) on graft survival was developed. The capacity of the model to calculate individual predicted probabilities of graft failure over time was evaluated in 80 independent patients. The model classified the patients in three latent classes with significantly different Scr time profiles and different graft survivals. Donor age contributed to explaining latent class membership. In addition to the SCr classes, the other variables retained in the survival model were proteinuria measured one-year after transplantation (HR=2.4, p=0.01), pretransplant non-donor-specific antibodies (HR=3.3, p<0.001), and dnDSA in patient who experienced acute rejection (HR=15.9, p=0.02). In the validation dataset, individual predictions of graft failure risk provided good predictive performances (sensitivity, specificity, and overall accuracy of graft failure prediction at ten years were 77.7%, 95.8%, and 85%, resp.) for the 60 patients who had not developed dnDSA. For patients with dnDSA individual risk of graft failure was not predicted with a so good performance.