Literature DB >> 31650645

Novel insights into non-HLA alloimmunity in kidney transplantation.

Roman Reindl-Schwaighofer1, Andreas Heinzel1, Guido A Gualdoni1, Laurent Mesnard2, Frans H J Claas3, Rainer Oberbauer1.   

Abstract

Recognition of non-self structures on donor cells represents the main immunological barrier in solid organ transplantation. The human leukocyte antigens (HLA) are considered the most important non-self (allo)antigens in transplantation. Long-term graft attrition is mainly caused by the formation of alloreactive antibodies that are directed against non-self structures (i.e., epitopes) on cell surface proteins. Recently published data provided evidence for a similar importance of non-HLA mismatches between donors and recipients in acute rejection as well as long-term kidney allograft survival. These data suggest a broader concept of immunological non-self that goes beyond HLA incompatibility and expands the current concept of polymorphic non-self epitopes on cell surface molecules from HLA to non-HLA targets. Amino acid substitutions caused by single nucleotide variants in protein-coding genes or complete loss of gene expression represent the basis for polymorphic residues in both HLA and non-HLA molecules. To better understand these novel insights in non-HLA alloimmunity, we will first review basic principles of the alloimmune response with a focus on the HLA epitope concept in donor-specific antibody formation before discussing key publications on non-HLA antibodies.
© 2019 The Authors. Transplant International published by John Wiley & Sons Ltd on behalf of Steunstichting ESOT.

Entities:  

Keywords:  donor-specific antibodies; epitopes; genome-wide incompatibility; non-HLA Alloimmunity

Year:  2019        PMID: 31650645      PMCID: PMC6972536          DOI: 10.1111/tri.13546

Source DB:  PubMed          Journal:  Transpl Int        ISSN: 0934-0874            Impact factor:   3.782


Introduction

Recognition of non‐self structures on donor cells by the recipient’s adaptive immune system represents the main immunological barrier in solid organ transplantation. The human leukocyte antigens (HLA) encoded in the major histocompatibility complex (MHC) on the short arm of chromosome 6 are considered the most important alloantigens in transplantation 1. Quantification of serotype level HLA mismatch forms the basis of immunological graft allocation, and testing for anti‐HLA antibodies that are directed against the donor HLA types (HLA‐DSA) has been implemented into clinical routine 2. High‐resolution molecular typing of the MHC (in human HLA) region has identified an increasing number of HLA alleles over the last decade 3, 4. In contrast to the MHC, so‐called minor histocompatibility antigens (mHA) include all proteins that are mismatched between donors and recipient and that are sufficiently antigenic to introduce a directed immune response against the non‐self antigen following transplantation 5. The importance of these mHAs in solid organ transplantation remains unresolved despite epidemiological data that suggested a significant contribution to long‐term graft survival. Single‐antigen approaches or a candidate set of previously identified mHA mismatches have not shown an impact on graft outcome following kidney transplantation 6. In HLA‐matched hematopoietic stem cell transplantation, however, the relevance of mHAs for graft‐versus‐host disease or graft‐versus‐leukemia effect is well established 7. On the genetic level, mHAs are caused by single nucleotide polymorphisms that result in an altered primary structure of proteins rendering them accessible to allorecognition. Alloantibodies against mHAs are mainly referred to as non‐HLA antibodies in the transplant literature. More recently, an unexpectedly high number of genome‐wide genetic polymorphisms between unrelated individuals were identified with several thousand so‐called non‐synonymous genetic variants causing altered amino acid sequence in proteins 8. This high number of individual level genetic polymorphism opens a new approach for immunological non‐self definition. Advances in the understanding of the pathophysiology of alloimmune graft injury have uncovered the molecular structures at the interaction site of alloantibodies and antigens: Polymorphic residues on cell surface molecules including both HLA (MHC) and non‐HLA antigens (mHA) represent B cell epitopes that are recognized by alloantibodies. Recent publications suggest that a quantitative approach that accounts for these polymorphic residues in both HLA molecules and non‐HLA transmembrane/extracellular proteins is strongly associated with the development of donor‐specific antibodies and reduced long‐term kidney allograft survival 9, 10. Excellent reviews on the epitope concept in HLA alloimmunity and non‐HLA‐antibodies in kidney transplantation have been published before 11, 12, 13, 14, 15, 16. This review will focus on “non‐self” as it is seen by the antibody (i.e., B cell epitopes) and the emerging concept of genome‐wide genetic incompatibility as basis for a systematic approach to account for incompatibilities in mHAs. For a better understanding and to put these new data into context, we will sum up the current understanding of alloimmunity in general with a focus on indirect allorecognition. We will then revisit the concept of non‐self B cell epitopes in HLA molecules (e.g., eplet mismatch) as it pertains to HLA‐DSA formation before reviewing key publications on non‐HLA alloantibodies and discussing the general difficulties in differentiating non‐HLA alloreactivity from autoreactivity that is caused by loss of self‐tolerance 17.

A brief summary of the current understanding of alloimmunity

HLA matching as key determinant of graft patency

Early in the history of transplantation, the importance of HLA mismatch as predominant determinant of histocompatibility was identified 18. Donor and recipient matching on HLA serotype level became feasible through large national and international organ sharing efforts providing a large pool of donors. Epidemiological data confirmed a reduction of acute rejection episodes and longer kidney allograft survival in better matched individuals 19. However, the importance of HLA matching on kidney graft survival was reduced by the introduction of highly effective immunosuppressive regimen in combination with induction therapy that largely interferes with T cell activation 20. This led to a significant reduction in acute rejection episodes and improved one‐year renal allograft survival. Nevertheless, recent analyses confirmed that HLA serotype level mismatch remains associated with both acute rejection episodes and graft survival in large cohorts 21.

Direct allorecognition

Together with the graft donor antigen‐presenting cells (APCs) are introduced into the recipient. In direct allorecognition intact non‐self HLA on these donor APCs interact with the T cell receptors (TCR) on recipient T cells. (Fig. 1a) 22. Allorecognition in this way results in a strong immune response due to the high precursor frequency of directly alloreactive T cells ranging between 1% and 10% of all circulating T cells 23, 24. Direct allorecognition is predominantly important for acute T cell‐mediated rejection early after transplantation. The specific properties of direct allorecognition depending on TCR interaction with non‐self HLA explain the importance of the HLA antigen mismatch in the setting of acute rejection. However, it is not fully understood if the non‐self HLA molecule itself serves as the ligand for host alloreactive T cells or if a different peptide repertoire that is presented in the peptide‐binding groove of the non‐self HLA molecule is decisive. In the latter case, one must keep in mind that differences in peptide restriction of HLA molecules can give rise to a vastly different donor peptide repertoire.
Figure 1

Direct and indirect allorecognition. (a) Directly alloreactive recipient T cells recognize intact donor HLA on donor APCs. The semi‐direct pathway enables direct allorecognition beyond the early post‐transplant period when recipient APCs acquire donor HLA and present it on the cell surface. Cytotoxic CD8+ T cells recognize donor HLA on graft tubular cells. The predominant histopathological finding of acute cellular rejection is tissue infiltration by T cells. (b) Indirectly alloreactive CD4+ recipient T cells recognize non‐self peptides (from [a] HLA or [b] non‐HLA antigens) presented in the peptide‐binding groove of self HLA class II molecules on the recipient’s B cells once the antigen has been internalized following binding of the antigen by the B cell receptor. T cell help is required for B cell differentiation. Plasma cells in the bone marrow produce alloantibodies against HLA and non‐HLA antigens that cause endothelial cell injury (microvascular inflammation) leading to acute humoral rejection and chronic allograft injury.

Direct and indirect allorecognition. (a) Directly alloreactive recipient T cells recognize intact donor HLA on donor APCs. The semi‐direct pathway enables direct allorecognition beyond the early post‐transplant period when recipient APCs acquire donor HLA and present it on the cell surface. Cytotoxic CD8+ T cells recognize donor HLA on graft tubular cells. The predominant histopathological finding of acute cellular rejection is tissue infiltration by T cells. (b) Indirectly alloreactive CD4+ recipient T cells recognize non‐self peptides (from [a] HLA or [b] non‐HLA antigens) presented in the peptide‐binding groove of self HLA class II molecules on the recipient’s B cells once the antigen has been internalized following binding of the antigen by the B cell receptor. T cell help is required for B cell differentiation. Plasma cells in the bone marrow produce alloantibodies against HLA and non‐HLA antigens that cause endothelial cell injury (microvascular inflammation) leading to acute humoral rejection and chronic allograft injury.

Indirect allorecognition

In contrast, alloantibody formation requires the full cascade of immune activation including T cell help through indirect allorecognition 22. In indirect allorecognition, TCR recognize allopeptides presented by self‐MHC class II molecules on professional antigen‐presenting cells (APCs), for example, B cells, macrophages, dendritic cells, or monocytes. Indirect allorecognition includes not only peptide fragments from alloreactive HLA molecules but virtually all polymorphic and mismatched proteins. Alloantigens that are shed from the transplanted organ are internalized by recipient APCs and processed in the same way as exogenous antigens before being presented as peptides in self‐MHC class II molecules to CD4+ T cells (Fig. 1b). The frequency of indirectly reactive T cells is lower compared to directly alloreactive ones, and they presumably are of importance later after transplantation.

Focus on humoral alloimmune responses

In contrast to the significant reduction in acute rejection episodes and improved one‐year graft survival in kidney transplantation, current immunosuppressive strategies turned out to be less effective in improving long‐term graft survival. Approximately half of the transplanted kidneys are lost over a period between 10 and 15 years 25. After the first year, the annual attrition rate of transplanted kidneys is about three to five percent per year and this number remained stable over the last 20 years 26. An ongoing alloimmune response in the graft leading to chronic inflammation and fibrosis has been proposed as main driver for late allograft loss. 27. This response is mainly mediated by the development of donor‐specific antibodies directed against polymorphic donor antigens as mediators of chronic graft rejection 28, 29, 30, 31, 32.

HLA as B cell epitope

Complexity of the HLA system

Through HLA sequencing, over 15 000 different HLA alleles have been identified to date. HLA nomenclature of serotypes was historically based on serological reactivity patterns and allele groups which do not reflect differences in immunogenicity of mismatches in the transplant setting 3. High‐resolution HLA genotypes provide the amino acid sequences of the different HLA alleles and allow for the identification of mismatches on a molecular level 11. Not all identified amino acid polymorphisms show the same level of immunogenicity and have a different impact on the immune response in the recipient. Some amino acid substitutions change the physico‐chemical properties of the protein (e.g., charge, hydrophobicity), and others may have only minor impact on the molecular structure.

B cell epitopes

HLA‐DSA bind to polymorphic residues on the surface of the HLA molecule. Each HLA molecule contains multiple of these antibody/B cell epitopes that define a unique pattern of non‐self surface structures. Individual epitopes are shared among different HLA alleles (Fig. 2) 11. The number of different non‐self epitopes shows high variability within the same level of antigen mismatch (e.g., HLA‐A, HLA‐B, HLA‐DR mismatch of 3 can represent an epitope mismatch of 10‐50) 16. The complexity that is introduced by the increasing number of genetically distinct HLA alleles that are recognized makes complete matching on the HLA antigen level impossible. The focus on a limited number of defined polymorphic residues proven to be targets of HLA antibodies may help to reduce complexity and improve matching of kidney allograft donors and recipients to prevent both (i) development of de novo donor specific antibodies (dnDSA) and (ii) identify acceptable mismatches in patients with already established donor specific antibody (DSA) 33.
Figure 2

Each individual carries a unique set of polymorphic residues on HLA molecules as well as other endothelial antigens (e.g., non‐synonymous single‐nucleotide polymorphisms in transmembrane proteins, loss of function variants) representing B cell epitopes. Each donor–recipient pair is mismatched for different epitopes. A quantitative approach suggests that a higher number of mismatches predispose for alloantibody development.

Each individual carries a unique set of polymorphic residues on HLA molecules as well as other endothelial antigens (e.g., non‐synonymous single‐nucleotide polymorphisms in transmembrane proteins, loss of function variants) representing B cell epitopes. Each donor–recipient pair is mismatched for different epitopes. A quantitative approach suggests that a higher number of mismatches predispose for alloantibody development. The first characterization of these epitopes was performed computationally (based on calculated amino acid mismatch and later developed into the eplet concept) as well as experimentally (Terasaki epitopes) 34, 35 with both approaches showing a high correlation 36. Cross‐reactivity of antibodies against different HLA alleles was already observed in the days of serological characterization of HLA antigens: Different HLA alleles exhibiting shared antigenic determinants were combined into CREGs (Cross REactive Groups). Nowadays, these can be better characterized by individual epitopes 37.

Eplets

A quantitative concept of B cell epitope mismatch was developed to assess immunological risk 38. These scores show superiority in terms of prediction of development of dnDSA and antibody‐mediated rejection (ABMR) compared to the HLA antigen mismatch. The idea was first introduced by Duquesnoy et al. 39 who determined triplets based on amino acid polymorphism in the HLA molecules that were mismatched between donors and recipients. This was further developed into the eplet concept including linear and conformational non‐self residues on the surface of the HLA molecule based on longer sequences and stereochemical 3‐D modeling of crystalized antibody/antigen complexes 35, 40. Eplets represent the central part of an epitope and consist of clusters of a few amino acids that are close to each other (stretching over 3–3.5 angstrom [0.3–0.35nm]) and are located on the antibody‐accessible site of the HLA molecule. They represent the smallest functional unit of the antibody–antigen binding site (epitope) and determine the antibody specificity through interaction with the central complementarity‐determining region of the antibody paratope, whereas the epitope covers the complete antigen/antibody interface and has a size of 15 angstrom (1.5 nm). Besides the eplet representing the amino acids that determine antibody specificity (functional epitope), the entire B cell epitope also includes other (either polymorphic or non‐polymorphic) residues that determine affinity (binding strength) but not specificity of the antigen/antibody interaction (structural epitope) (Fig. 3a).
Figure 3

B cell epitopes recognized by donor‐specific antibodies on alloantigens. (a) Interaction of complementarity‐determining region (CDR) of alloantibody with the HLA and non‐HLA molecules on endothelial cells. Next to the functional epitope responsible for specificity (e.g., eplet, amino acid substitution in transmembrane protein, loss of function variant carrying a non‐self epitope), the structural epitope covers non‐polymorphic (“self”) residues important for binding strength/affinity. (b) Concept of non‐self epitopes on HLA and non‐HLA antigens as binding site for donor‐specific alloantibodies (DSA). HLA‐DSA binding to polymorphic residue on HLA molecule. Non‐HLA‐DSA recognizing non‐self residues on polymorphic transmembrane proteins as well as non‐self residues on loss of function variants (i.e., recipient has complete loss of gene expression of a specific allele but the donor carries at least one functioning copy).

B cell epitopes recognized by donor‐specific antibodies on alloantigens. (a) Interaction of complementarity‐determining region (CDR) of alloantibody with the HLA and non‐HLA molecules on endothelial cells. Next to the functional epitope responsible for specificity (e.g., eplet, amino acid substitution in transmembrane protein, loss of function variant carrying a non‐self epitope), the structural epitope covers non‐polymorphic (“self”) residues important for binding strength/affinity. (b) Concept of non‐self epitopes on HLA and non‐HLA antigens as binding site for donor‐specific alloantibodies (DSA). HLA‐DSA binding to polymorphic residue on HLA molecule. Non‐HLA‐DSA recognizing non‐self residues on polymorphic transmembrane proteins as well as non‐self residues on loss of function variants (i.e., recipient has complete loss of gene expression of a specific allele but the donor carries at least one functioning copy). The eplet mismatch between donors and recipients can be calculated using the HLAMatchmaker algorithm (http://www.epitopes.net). An increasing number of clinical data shows that kidney transplant recipients with a high eplet mismatch are at greater risk for the development of dnDSA 9. For the HLA‐DR and HLA‐DQ locus, cut‐off levels for eplet mismatch have been proposed based on data from a single‐center cohort from Canada (>9 and >16 for DR and DQ, respectively). However, development of dnDSA does not exclusively occur in individuals with high eplet mismatch. With respect to hard endpoints, eplet mismatch is also associated with ABMR and long‐term kidney allograft survival and shows superiority compared to HLA serotype mismatch 41. Lately, a refinement of the eplet mismatch was proposed that calculates the eplet score for each HLA class II molecule individually showing even better correlation with the development of dnDSA 42. This further supports the concept that the level of polymorphic residues on each HLA molecule defines the risk for antibody formation. However, there is no causal relationship between the number of eplet mismatches and the occurrence of DSA. A higher number of mismatches merely increase the chance that one of these mismatches is immunogenic and stimulates an alloimmune response. Thus, antibodies can also develop against a donor organ with only a single HLA eplet mismatch. The eplet approach also helped to define acceptable antigen mismatches as allocation criterion for highly sensitized individuals compared to previous allocation solely based on HLA antigen identity with the donor. It was integrated in the Eurotransplant Acceptable Mismatch program to identify suitable kidney transplant donors and helped to decrease waiting time while showing graft survival comparable to non‐sensitized individuals 43.

Different approaches to define B cell epitopes

There are alternative approaches to define potential B cell epitopes on HLA molecules including physico‐chemical properties (hydrophobicity, electrical charge etc.) and the amino acid mismatch score that were both investigated by a group from Cambridge 44. Both models were association with the development of dnDSA. A recent analysis comparing eplet mismatch and amino acid mismatch as well as the electrostatic mismatch score and hydrophobicity mismatch score showed high correlation between all approaches 45. However, to date there are not enough data to finally conclude superiority of one score over the other. Nevertheless, the majority of published clinical data on epitope mismatch uses the eplet mismatch calculated by the HLAMatchmaker.

Prediction of indirect allorecognition

Another approach to quantify immunogenic polymorphism in the HLA region focuses on the indirect allorecognition pathway. For IgG antibody formation, T cell help is required through indirect recognition. If a non‐self HLA antigen contains a B cell epitope, but lacks the accompanying linked T cell epitope, no IgG DSA formation can occur. In contrast to B cell epitopes that represent polymorphic structures on pathogens or cell surface molecules interacting with specific antibodies, T cell epitopes are only recognized by antigen‐specific T cells when presented in a self HLA molecule by antigen‐presenting cells. This concept has been integrated into the PIRCHE‐II score that estimates the number of indirectly recognizable T cell epitopes based on the donor HLA type and restriction of recipient HLA class II peptide expression 46. Currently, however, it is impossible to estimate which of the presentable peptides will eventually induce a T cell response. Nevertheless, evaluation of the PIRCHE‐II score in two large kidney transplant cohorts confirmed its association with dnDSA occurrence and long‐term kidney allograft survival independent of eplet mismatch 41, 47.

Missing pieces in the theory of chronic antibody‐mediated rejection

A recent study by Stegall et al. 48 showed that in late protocol biopsies the predominant histopathological lesion was arterial hyalinosis rather than features of chronic rejection. Transcriptome analysis from kidney biopsy samples suggested that hyalinosis reflects calcineurin inhibitor exposure and therefore adherence to adequate levels of immunosuppression 49. The importance of under‐immunosuppression in chronic rejection was further emphasized by a study from Wiebe et al. 50 that showed that nonadherent patients with a high eplet mismatch are at the highest risk for development of HLA‐DSA. DQ eplet mismatch was also highly predictive for development of dnDSA in the CTOT‐09 study on tacrolimus withdrawal 51. Epitope mismatch and indirect allorecognition represent two concepts that allow us to estimate the likelihood for dnDSA formation as risk factor for ABMR and allograft loss. More recently, the histopathological phenotype of ABMR in absence of HLA‐DSA has drawn more attention. It remains unclear if this entity has the same impact on graft survival as DSA‐positive ABMR. A recent analysis by Senev et al. found better long‐term kidney allograft survival in patients with HLA‐DSA‐negative ABMR compared to patients with detectable HLA‐DSA 52. The detection of donor‐reactive memory B cells without currently detectable antibody levels further identifies patients at risk 53. Other explanations for DSA‐negative ABMR include not yet characterized non‐HLA antibodies.

Non‐HLA antibody response

Evidence for non‐HLA alloimmunity

In clinical transplantation, the focus has been so far on HLA‐related alloimmunity. However, occurrence of ABMR following kidney transplantation from HLA identical siblings suggested the importance of non‐HLA antigens in alloimmunity 54, 55. In a retrospective analysis of UNOS registry data, Terasaki et al. 56 deduced that 38% of kidney allograft losses could be due to non‐HLA‐related immunological factors compared to only 18% that were due to HLA mismatches. Further evidence for the importance of non‐HLA alloimmune responses was provided by Opelz et al. when they analyzed the impact of pre‐transplant panel reactive antibody (PRA) levels on the long‐term outcome in kidney transplant recipients from sibling donors that were fully matched at the HLA‐A, HLA‐B, and HLA‐DR locus. They estimated the likelihood of incompatibilities in other HLA loci (especially DQ and DP) to be <3% in HLA‐A‐, HLA‐B‐ and HLA‐DR‐matched siblings. Most interestingly, the effect of PRA only became apparent after the first post‐transplant year. The authors therefore concluded that non‐HLA immunity has a much stronger role in clinical transplantation than previously suspected and that non‐HLA alloimmunity is mainly associated with chronic allograft loss 57.

Definition of minor histocompatibility antigens

The term minor histocompatibility antigens is commonly used to refer to non‐HLA antigens. From an immunological point of view, these are defined as any non‐MHC encoded polymorphic protein that is sufficiently antigenic to induce an immune response through indirect allorecognition by a T cell when transplanted into an individual with absent or altered gene expression. mHAs have been extensively studied in HLA identical hematopoietic stem cell transplantation and are associated with graft‐versus‐host disease and graft‐versus‐leukemia effect, but less in solid organ transplantation 7. The genetic basis for these mHAs is non‐synonymous single‐nucleotide polymorphism (nsSNP) giving rise to polymorphic proteins 5. Examples for polymorphic proteins that act as mHAs in solid organ transplantation include Y chromosomal encoded proteins (HY antigens) in gender‐mismatched transplantation and autosomal mHAs like the MHC Class I Polypeptide‐Related Sequence A (MICA) 58, 59. For the development of an alloantibody response, indirect allorecognition by CD4+ T cells is required.

Concept of Anti‐endothelial cell antibodies

Antibody‐mediated graft injury mostly affects the endothelial surface of the graft as the endothelial layer is the barrier between recipient circulation (including immune cells/proteins) and allograft vascular tissue 60. It remains to be finally resolved, if these antigens mediate graft injury or are secondary effects following tissue damage. Besides HLA, most endothelial antigens in transplantation are unknown. The concept of anti‐endothelial cell antibodies (AECA) was introduced in the late 1970s and focuses on the site of antibody/antigen interaction rather than antigen specificity 61, 62. Characterization of target antigens is still ongoing including proteomics approaches. Mechanisms of endothelial cell injury have to be resolved and include complement‐mediated cell injury as well as endothelial cell activation 13. In contrast to HLA, individual non‐HLA antigens are often not highly expressed on the cell surface. Flow cytometry‐based endothelial cell crossmatch tests, however, showed that AECA are associated with adverse outcomes following kidney transplantation (higher rate of rejection and lower 1‐year graft survival) 63, 64. There is a high heterogeneity of endothelial cells used in these analyses including donor‐derived progenitor cells as well as third‐party umbilical cells. The use of donor‐derived cells allows for detection of antibody responses against polymorphic proteins that are mismatched between the donor and the recipient.

G‐protein‐coupled receptors

Antibodies against angiotensin II type 1 receptor (AT1R) have been identified as endothelial cell antibodies in patients with acute rejection 65. AT1R is expressed on the endothelium and represents a G‐protein‐coupled receptor such that antibodies interacting with the receptor activate signaling pathways 66. A recent study reported an HLA‐DSA‐independent effect on allograft rejection with a distinct histopathological (endothelial activation) and clinical phenotype (hypertension) 67. The endothelin receptor type A (ETAR) represents another G‐protein‐coupled receptor that has been identified as endothelial antigen. Interestingly, not all transplant recipients with AT1R and ETAR antibodies experience allograft dysfunction and a high variability in antibody titers was observed between studies 66. Both AT1R and ETAR do not harbor polymorphisms in protein coding regions that result in an altered amino acid sequence or changed protein structure. Single nucleotide polymorphisms that were identified in both AT1R and ETAR were mainly associated with expression levels 68, 69. Antibodies that activate G‐protein‐coupled receptors were also detected in patients without transplantation and showed an association with cardiovascular disease, preeclampsia, hypertension, aging, autoimmune diseases, and cancer 66. AT1R and ETAR are therefore mainly considered autoantibodies rather than alloantibodies directed against non‐self residues. For a more detailed discussion of G‐protein‐coupled receptors in transplantation, the reader is referred to a recent review by Philogene et al. 66.

HY antigens

Proteins encoded on the Y chromosome have a 90% sequence similarity with their X chromosomal homologs. As example, the protein RSP4Y on the Y chromosome (40S ribosomal protein S4, Y isoform 1) differs from the RSP4X variant on the X chromosome by 19 amino acid substitutions based on single nucleotide polymorphisms 70. Following the identification of HY‐specific alloimmune T cells in gender‐mismatched transplantation, the development of HY alloantibodies was later observed in individuals with acute allograft injury 59. On an epidemiological level, transplantation of male donor kidneys into female recipients was associated with a negative impact on long‐term graft function in a retrospective cohort study in 200 000 kidney transplant recipients 71.

MICA

MICA antigens are highly polymorphic and have been extensively studied in kidney transplantation. Alloantibodies against mismatched MICA antigens were associated with acute rejection episodes and reduced 1‐year graft survival in initial publications, but a retrospective analysis in a large European cohort of 779 kidney transplant recipients did not show an independent association with four‐year death‐censored graft survival 58, 72, 73. The understanding of pathophysiology of MICA is incomplete, and testing has not been implemented in clinical routine.

Loss of self‐tolerance

In patients with chronic ABMR, a broad reactivity against a unique set of antigenic targets was observed 74. Graft injury creates an inflammatory milieu that causes breakdown of B cell tolerance and sets stage for the development of antibodies against intracellular and kidney tissue antigens through posttranslational modifications 75. More recently, the role of polyreactive natural antibodies in allograft rejection has been identified 76. The broad spectrum of reactivity profiles could be caused by polyreactive natural antibodies rather than a multitude of monospecific antibodies 77.

Current approach to identify endothelial cell antigens

Protein arrays that allow for simultaneous screening of antibody responses against up to 9 000 different human proteins have been used to identify non‐HLA antigens that are expressed on the vascular endothelium 78, 79, 80. Overall, these studies revealed a broad variety of antigens associated with rejection and chronic allograft injury. Most recently, Delville et al. 81 identified 38 patients with acute microvascular rejection in the absence of anti‐HLA antibodies in a French nationwide cohort of kidney transplant recipients. Microvascular inflammation serves as surrogate for an antibody‐mediated injury in the graft. Using a combination of transcriptomic and proteomic techniques, they were able to identify new endothelial targets for non‐HLA antibodies. Interestingly, these antigens showed only little redundancy among individuals. Previously proposed anti‐endothelial cell antibodies against AT1R, endothelin‐1 type A or natural antibodies did not increase in patients with acute microvascular rejection. In the light of recent data on genetic polymorphisms, it remains unclear if the observed antibody reactivity in these studies was directed against self‐epitopes rather than polymorphic residues of the targeted proteins that could not be differentiated based on the assays used to determine antibody reactivity.

Genome‐wide non‐HLA genetic mismatch

The HapMap Project and 1 000 Genomes Project have uncovered an unexpected large genetic diversity in humans 8, 82. Each individual carries on average over 9  000 nsSNPs causing a significant level of protein polymorphism between individuals on the amino acid level 83. In addition, the human genome also contains genetic variants that result in a complete loss of function (LoF) in protein‐coding genes. When both alleles are affected, this results in a complete loss of gene expression. An individual genome contains on average 100 of these LoF variants with about 20 affecting both alleles 84.

Systematic approach to define genome‐wide incompatibility

Identification of genome‐wide genetic variants in both donors and recipients allows for a systematic approach to identify individual level non‐HLA mismatch. This includes nsSNP that cause alteration in the amino acid sequence of proteins as well as complete loss of gene expression in the recipient (LoF variants) 17. In the field of hematopoietic stem cell transplantation, novel mHAs were successfully identified using similar approaches 85. The aforementioned HY antigens and MICA serve as examples for nsSNP‐based protein polymorphism in solid organ transplantation. Especially, polymorphisms in immune‐accessible transmembrane proteins represent plausible mHAs when the donor carries an allele that is not present in the recipient (representing a non‐self/allo‐epitope). Non‐self peptides can be presented by the recipients professional APCs/B cells to indirectly alloreactive T cells 17. The high number of potential genome‐wide mismatches suggests that each donor and recipient pair caries a unique set of mismatched genetic variations. Mesnard et al. 86 were the first to quantify genome‐wide mismatches outside of the HLA region and developed the allogenomics mismatch score (AMS). Exome sequencing was performed in 53 living donor and recipient pairs, and the number of predicted amino acid mismatches in transmembrane proteins was calculated. The AMS showed a statistically significant effect on estimated glomerular filtration rate (eGFR) at one to three years after transplantation. The effect was independent of HLA mismatch in the HLA‐A, HLA‐B, and HLA‐DR loci. Subsequently, Pineda et al. identified non‐HLA mismatches based on exome sequencing data from 28 kidney allograft donor and recipient pairs. In their analysis, the non‐HLA mismatch was significantly higher in patients with biopsy‐proven ABMR compared to patients without rejection. They identified a set of 123 variants that were associated with the risk for ABMR 87.

Antibody responses against genetically defined non‐HLA antigens

More recently, Reindl‐Schwaighofer et al. calculated the genome‐wide mismatch in immune‐accessible transmembrane and secreted proteins between kidney allograft donor and recipient pairs (excluding genetic variants in the HLA region on chromosome 6) in a prospective transplant cohort of 477 patients using a customized genotyping array: A median of 1892 mismatches in non‐synonymous genetic variants that result in protein polymorphisms were identified per donor and recipient pair 10. The degree of these non‐HLA mismatches was independently associated with graft loss in a multivariable model adjusted for HLA serotype and eplet mismatch: Each increase by a unit of one inter‐quartile range exhibited a HR of 1.68 (95% CI 1.17–2.41). Polymorphic amino acid sequences in immune‐accessible proteins (i.e., transmembrane and secreted) represent plausible epitopes that can be recognized by alloreactive antibodies similar to eplets in HLA (Fig. 3b). As a proof of principle, Reindl‐Schwaighofer et al. designed customized peptide arrays that contained both self and non‐self peptide probes that represented the genetically predicted donor–recipient‐specific amino acid differences. Thereby, a donor‐specific alloimmune response to the mismatched epitopes could be verified. These data, as the initial work done by Mesnard et al. in living donor transplantation suggested, project the concept of HLA epitope mismatch to genome‐wide genetic incompatibility in immune‐accessible transmembrane epitopes.

Loss of gene expression in the recipient

Further evidence for the importance of non‐HLA targets for an alloimmune response comes from a recently published work by Steers et al. 88. The authors tested the association of 44 copy number variants (CNV) that cause complete loss of expression of a specific gene product with the occurrence of biopsy‐proven rejection episodes and defined “genomic collision” as a specific donor–recipient genotype combination in which a recipient who is homozygous for a deletion polymorphism receives a transplant from a donor who has at least one normal allele of this gene (similar to the concept of “LoF mismatch”). Genomic collision in the LIMS1 locus (based on the single nucleotide variant rs893403 tagging a gene deletion CNV in LIMS1) was independently associated with allograft rejection (HR 1.55; 95% CI, 1.25 to 1.93) in a combined analysis including four independent cohorts. In addition, functional validation of the rs893403 genotype was performed. Reduced LIMS1 mRNA expression levels in recipients who were homozygous for the risk allele were observed. Furthermore, expression of the protein on the cell surface under hypoxic conditions could be verified. The latter makes it a plausible endothelial cell antigen following transplantation. Finally, an antigen‐specific antibody signal against LIMS1 in donor and recipient pairs with acute rejection harboring the “collision genotype” constellation was observed. Together, these findings provide plausible evidence for a directed alloimmune response against the mismatched antigen. Despite the association with acute rejection, no association between genomic collision at the LIMS1 locus and kidney allograft survival was observed. Interestingly, genome‐wide genetic incompatibility in transmembrane proteins was associated with long‐term graft outcome in the paper by Reindl‐Schwaighofer et al. 10. However, this was not driven by a single variant but an overall mismatch burden. Future studies have to resolve the impact of single highly immunogenic variants (e.g., LoF variants such as LIMS1 that potentially carry multiple non‐self epitopes) and the broad array of polymorphic variants being virtually unique for each donor and recipient pair on kidney transplant outcome.

Defining genome‐wide alloreactive B cell epitopes

The basic concept of all mismatch scores is that the more B cell epitopes are mismatched, the higher the chance for the development of DSA (both HLA and non‐HLA), causing more chronic ABMR and leading to reduced graft survival. With high‐resolution genetic data available for both the MHC region and the entire genome, identification of molecular mismatches between donor and recipient has become feasible and is represented by the HLA eplet mismatch scoring system and novel genome‐wide non‐HLA mismatch scores (Fig. 2). Both strategies are based on quantification of polymorphic amino acid residues within (i) the HLA molecule or (ii) transmembrane proteins (Fig. 3b). Not every amino acid polymorphism or HLA epitope mismatch has the same impact on the alloimmune response of the recipient. Immunogenicity of these genetically defined epitopes remains unclear, and immunodominant mismatches have to be identified 89. Potential strategies include a focus on T cell help and indirect allorecognition required for DSA formation (e.g., similar to the concept of the PIRCHE‐II score) as well as accessibility of epitopes (e.g., hydrophilicity, extracellular domain of transmembrane peptides). The current approaches based on the number of potential epitope mismatches represent a step in the right direction of matching for proven immunogenic epitopes. Overall, high‐resolution genetic data have broadened our understanding of alloimmunity that now incorporates genome‐wide genetic mismatch. These novel concepts will help to identify immunological high‐risk constellations and may provide an evidence‐based strategy for individualized immunosuppression.

Funding

The authors have declared no funding.

Conflict of interest

The authors have declared no conflicts of interest.
  89 in total

1.  Non-HLA antibodies to immunogenic epitopes predict the evolution of chronic renal allograft injury.

Authors:  Tara K Sigdel; Li Li; Tim Q Tran; Purvesh Khatri; Maarten Naesens; Poonam Sansanwal; Hong Dai; Szu-chuan Hsieh; Minnie M Sarwal
Journal:  J Am Soc Nephrol       Date:  2012-02-02       Impact factor: 10.121

2.  HLAMatchmaker-based analysis of human monoclonal antibody reactivity demonstrates the importance of an additional contact site for specific recognition of triplet-defined epitopes.

Authors:  René J Duquesnoy; Arend Mulder; Medhat Askar; Marcelo Fernandez-Vina; Frans H J Claas
Journal:  Hum Immunol       Date:  2005-07       Impact factor: 2.850

3.  Non-HLA transplantation immunity revealed by lymphocytotoxic antibodies.

Authors:  Gerhard Opelz
Journal:  Lancet       Date:  2005 Apr 30-May 6       Impact factor: 79.321

4.  Reduced exposure to calcineurin inhibitors in renal transplantation.

Authors:  Henrik Ekberg; Helio Tedesco-Silva; Alper Demirbas; Stefan Vítko; Björn Nashan; Alp Gürkan; Raimund Margreiter; Christian Hugo; Josep M Grinyó; Ulrich Frei; Yves Vanrenterghem; Pierre Daloze; Philip F Halloran
Journal:  N Engl J Med       Date:  2007-12-20       Impact factor: 91.245

Review 5.  Allorecognition pathways in transplant rejection and tolerance.

Authors:  Jason M Ali; Eleanor M Bolton; J Andrew Bradley; Gavin J Pettigrew
Journal:  Transplantation       Date:  2013-10-27       Impact factor: 4.939

6.  Antibody-Mediated Rejection of Solid-Organ Allografts.

Authors:  Carmen Lefaucheur; Alexandre Loupy
Journal:  N Engl J Med       Date:  2018-12-27       Impact factor: 91.245

7.  Hyalinosis Lesions in Renal Transplant Biopsies: Time-Dependent Complexity of Interpretation.

Authors:  G Einecke; J Reeve; P F Halloran
Journal:  Am J Transplant       Date:  2017-01-03       Impact factor: 8.086

8.  The IPD and IMGT/HLA database: allele variant databases.

Authors:  James Robinson; Jason A Halliwell; James D Hayhurst; Paul Flicek; Peter Parham; Steven G E Marsh
Journal:  Nucleic Acids Res       Date:  2014-11-20       Impact factor: 16.971

Review 9.  Unraveling the Role of Allo-Antibodies and Transplant Injury.

Authors:  Yoshiko Matsuda; Minnie M Sarwal
Journal:  Front Immunol       Date:  2016-10-21       Impact factor: 7.561

10.  Quantifying size and diversity of the human T cell alloresponse.

Authors:  Susan DeWolf; Boris Grinshpun; Thomas Savage; Sai Ping Lau; Aleksandar Obradovic; Brittany Shonts; Suxiao Yang; Heather Morris; Julien Zuber; Robert Winchester; Megan Sykes; Yufeng Shen
Journal:  JCI Insight       Date:  2018-08-09
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  12 in total

1.  Association of HLA Mismatches and Histology Suggestive of Antibody-Mediated Injury in the Absence of Donor-Specific Anti-HLA Antibodies.

Authors:  Aleksandar Senev; Evelyne Lerut; Maarten Coemans; Jasper Callemeyn; Hannah Charlotte Copley; Frans Claas; Priyanka Koshy; Vasilis Kosmoliaptsis; Dirk Kuypers; Ben Sprangers; Amaryllis Van Craenenbroeck; Elisabet Van Loon; Vicky Van Sandt; Marie-Paule Emonds; Maarten Naesens
Journal:  Clin J Am Soc Nephrol       Date:  2022-06-01       Impact factor: 10.614

2.  Renal Endothelial Cytotoxicity Assay to Diagnose and Monitor Renal Transplant Recipients for Anti-Endothelial Antibodies.

Authors:  Rosa G M Lammerts; Jacob van den Born; Magdalena Huberts-Kregel; Antonio W Gomes-Neto; Mohammed R Daha; Bouke G Hepkema; Jan-Stephan Sanders; Robert A Pol; Arjan Diepstra; Stefan P Berger
Journal:  Front Immunol       Date:  2022-06-06       Impact factor: 8.786

3.  Proposed Definitions of Antibody-Mediated Rejection for Use as a Clinical Trial Endpoint in Kidney Transplantation.

Authors:  Candice Roufosse; Jan Ulrich Becker; Marion Rabant; Daniel Seron; Maria Irene Bellini; Georg A Böhmig; Klemens Budde; Fritz Diekmann; Denis Glotz; Luuk Hilbrands; Alexandre Loupy; Rainer Oberbauer; Liset Pengel; Stefan Schneeberger; Maarten Naesens
Journal:  Transpl Int       Date:  2022-05-20       Impact factor: 3.842

Review 4.  Antigen and Cell-Based Assays for the Detection of Non-HLA Antibodies.

Authors:  Rosa G M Lammerts; Dania Altulea; Bouke G Hepkema; Jan-Stephan Sanders; Jacob van den Born; Stefan P Berger
Journal:  Front Immunol       Date:  2022-05-06       Impact factor: 8.786

5.  The Pre-Transplant Non-HLA Antibody Burden Associates With the Development of Histology of Antibody-Mediated Rejection After Kidney Transplantation.

Authors:  Aleksandar Senev; Bryan Ray; Evelyne Lerut; Jayasree Hariharan; Christine Heylen; Dirk Kuypers; Ben Sprangers; Marie-Paule Emonds; Maarten Naesens
Journal:  Front Immunol       Date:  2022-02-16       Impact factor: 7.561

Review 6.  Microvascular Inflammation of the Renal Allograft: A Reappraisal of the Underlying Mechanisms.

Authors:  Emilie Lebraud; Maëva Eloudzeri; Marion Rabant; Baptiste Lamarthée; Dany Anglicheau
Journal:  Front Immunol       Date:  2022-03-22       Impact factor: 7.561

Review 7.  Plasma cell biology: Foundations for targeted therapeutic development in transplantation.

Authors:  Amy P Rossi; Rita R Alloway; David Hildeman; E Steve Woodle
Journal:  Immunol Rev       Date:  2021-07-12       Impact factor: 10.983

8.  Genetic Engineering of the Kidney to Permanently Silence MHC Transcripts During ex vivo Organ Perfusion.

Authors:  Yuliia Yuzefovych; Emilio Valdivia; Song Rong; Franziska Hack; Tamina Rother; Jessica Schmitz; Jan Hinrich Bräsen; Dirk Wedekind; Cyril Moers; Nadine Wenzel; Faikah Gueler; Rainer Blasczyk; Constanca Figueiredo
Journal:  Front Immunol       Date:  2020-02-19       Impact factor: 7.561

Review 9.  Recent Advances on Biomarkers of Early and Late Kidney Graft Dysfunction.

Authors:  Marco Quaglia; Guido Merlotti; Gabriele Guglielmetti; Giuseppe Castellano; Vincenzo Cantaluppi
Journal:  Int J Mol Sci       Date:  2020-07-29       Impact factor: 5.923

10.  Humanized Mouse Model as a Novel Approach in the Assessment of Human Allogeneic Responses in Organ Transplantation.

Authors:  Ashwin Ajith; Laura L Mulloy; Md Abu Musa; Valia Bravo-Egana; Daniel David Horuzsko; Imran Gani; Anatolij Horuzsko
Journal:  Front Immunol       Date:  2021-06-11       Impact factor: 7.561

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