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1.
Am J Transplant ; 20(10): 2768-2780, 2020 10.
Article in English | MEDLINE | ID: mdl-32185871

ABSTRACT

We analyzed humoral immune responses to nonhuman leukocyte antigen (HLA) after cardiac transplantation to identify antibodies associated with allograft rejection. Protein microarray identified 366 non-HLA antibodies (>1.5 fold, P < .5) from a discovery cohort of HLA antibody-negative, endothelial cell crossmatch-positive sera obtained from 12 cardiac allograft recipients at the time of biopsy-proven rejection. From these, 19 plasma membrane proteins and 10 autoantigens identified from gene ontology analysis were combined with 48 proteins identified through literature search to generate a multiplex bead array. Longitudinal sera from a multicenter cohort of adult cardiac allograft recipients (samples: n = 477 no rejection; n = 69 rejection) identified 18 non-HLA antibodies associated with rejection (P < .1) including 4 newly identified non-HLA antigenic targets (DEXI, EMCN, LPHN1, and SSB). CART analysis showed 5/18 non-HLA antibodies distinguished rejection vs nonrejection. Antibodies to 4/18 non-HLA antigens synergize with HLA donor-specific antibodies and significantly increase the odds of rejection (P < .1). The non-HLA panel was validated using an independent adult cardiac transplant cohort (n = 21 no rejection; n = 42 rejection, >1R) with an area under the curve of 0.87 (P < .05) with 92.86% sensitivity and 66.67% specificity. We conclude that multiplex bead array assessment of non-HLA antibodies identifies cardiac transplant recipients at risk of rejection.


Subject(s)
Graft Rejection , Heart Transplantation , Allografts , Antibodies , Graft Rejection/diagnosis , Graft Rejection/etiology , HLA Antigens , Heart Transplantation/adverse effects
2.
Transpl Int ; 31(4): 424-435, 2018 04.
Article in English | MEDLINE | ID: mdl-29265514

ABSTRACT

Development of donor-specific antibodies (DSA) after renal transplantation is known to be associated with worse graft survival, yet determining which specificities in which recipients are the most deleterious remains under investigation. This study evaluated the relationship of the complement binding capacity of post-transplant de novo anti-human leukocyte antigen (HLA) antibodies with subsequent clinical outcome. Stored sera from 265 recipients previously identified as having de novo DSA were retested for DSA and their C3d binding capacity using Luminex-based solid-phase assays. Most recipients had anti-HLA class II-reactive DSA (class I = 12.5%, class II = 68.7%, class I and class II = 18.9%). The recipients that had C3d binding DSA (67.5%) had a significantly higher incidence of antibody-mediated rejection and any rejection. They also had significantly lower kidney survival, with the lowest survival in those that had both anti-HLA class I and class II C3d binding DSA. Concurrent biopsy comparison revealed a 96.2% positive predictive value and 47.4% negative predictive value for C4d peritubular capillary (Ptc) deposition. Anti-HLA class I and class II C3d binding DSA carried a twofold and 1.5-fold increased risk of kidney loss, respectively, in multivariate analysis.


Subject(s)
Complement C3d/metabolism , HLA Antigens/metabolism , Kidney Transplantation , Transplantation Immunology , Adult , Antibody Specificity , Complement C4b/metabolism , Female , Graft Survival , HLA Antigens/analysis , Humans , Immunoglobulin G/metabolism , Male , Middle Aged , Nephritis/immunology , Peptide Fragments/metabolism , Retrospective Studies
3.
Hum Immunol ; 73(3): 267-77, 2012 Mar.
Article in English | MEDLINE | ID: mdl-22227099

ABSTRACT

This study addresses the concept that human leukocyte antigen (HLA) class I-specific alloantibodies are specific for epitopes that correspond to HLAMatchmaker-defined eplets. Eplets are essential parts of so-called structural epitopes that make contact with the 6 complementarity determining regions of an antibody. From published molecular models of crystallized protein antigen-antibody complexes, we have calculated that contact residues on structural HLA epitopes should reside within a 15-Å radius of a mismatched eplet. This study addresses the structural basis of high-frequency HLA class I epitopes reacting with human monoclonal antibodies (mAbs) derived from women sensitized during pregnancy. All mAbs were tested in Luminex assays with single HLA allele panels. The HLAMatchmaker algorithm was used to determine their specificity in context with eplet sharing between the immunizing allele and antibody-reactive alleles. To assess the autoreactive B cell origin of these antibodies, we have applied the recently developed nonself-self paradigm of epitope immunogenicity to analyze residue differences between the immunizer and the alleles of the antibody producer. A total of 9 mAbs were specific for epitopes associated with the 41T, 80NRG, 163LW, 69AA, or 80ERILR eplets. In each case, the immunizing allele had within 15 Å of the mismatched eplet, no residue differences with 1 of the alleles of the antibody producer. This observation is consistent with the concept that these mAbs originated from B cells with self HLA immunoglobulin receptors. Eplet-carrying alleles exhibited different levels of reactivity, which, when compared with the immunizing allele, ranged from high to intermediate to very low. In many cases, lower reactivities were associated with differences from self to nonself residues in surface locations within 15 Å of the specific eplet. Apparently, such locations may serve as critical contact sites for the antibody. In other cases, other residue differences did not appear to affect binding with the antibody, suggesting that these locations do not play a major role in antibody binding. For these mAbs we did not obtain convincing evidence that residue differences in hidden positions below the molecular surface had significant effects on antibody binding. These findings have increased our understanding of the structural basis of the immunogenicity and antigenicity of HLA class I epitopes and provide a basis for interpreting HLA antibody reactivity patterns in Luminex assays with single alleles.


Subject(s)
Autoantigens/chemistry , Epitopes, B-Lymphocyte/chemistry , HLA Antigens/chemistry , Algorithms , Antibodies, Monoclonal/immunology , Antigen-Antibody Reactions/immunology , Autoantigens/immunology , Computational Biology , Crystallization , Epitopes, B-Lymphocyte/immunology , Female , HLA Antigens/immunology , Humans , Hybridomas , Immunization , Models, Chemical , Pregnancy , Protein Binding , Protein Conformation , Software
4.
Transplantation ; 90(12): 1468-72, 2010 Dec 27.
Article in English | MEDLINE | ID: mdl-21063243

ABSTRACT

AIM: Humoral sensitization affects transplant outcome, and it is now apparent that human leukocyte antigen (HLA) antibodies are specific for epitopes rather than antigens. Such epitopes can be structurally defined by HLAMatchmaker, an algorithm that considers eplets as critical elements of epitopes recognized by alloantibodies. This study addressed the question how mismatched HLA antigens induce specific antibodies in context with eplet differences with the antibody producer. METHODS: HLA class I-specific human monoclonal antibodies derived from women sensitized during pregnancy were tested in Luminex assays with single allele panels. Their epitope specificity was determined from reactivity patterns and eplet differences between immunizing antigen and the antibody producer. RESULTS: This study focuses on the reactivity patterns of 10 monoclonal antibodies specific for epitopes defined by a mismatched eplet paired with a self-eplet shared between immunizing HLA antigens and HLA antigens of the antibody producer. The eplets in these pairs are between 7 and 16 Å apart, a sufficient distance for contact by two separate complementarity-determining regions of antibody. CONCLUSIONS: These findings demonstrate that immunizing antigens have mismatched eplets that can form antibody-reactive epitopes with self-configurations on the molecular surface. They seem to suggest that HLA antibodies can be produced by autoreactive B cells that have undergone receptor editing to accommodate the recognition of nonself-eplets, the driving force of the humoral alloresponse. This concept enhances our understanding of structural epitope immunogenicity and the interpretation of antibody reactivity patterns with HLA panels.


Subject(s)
Graft Rejection/immunology , Histocompatibility Antigens Class I/immunology , Algorithms , Antibodies, Monoclonal/chemistry , Antibodies, Monoclonal/immunology , Antibody Specificity , Autoantibodies/immunology , Epitopes/immunology , Female , HLA Antigens/immunology , Histocompatibility Antigens Class I/chemistry , Histocompatibility Testing/methods , Humans , Immunity, Humoral , Models, Molecular , Pregnancy , Transplantation Immunology
5.
Hum Immunol ; 69(12): 826-32, 2008 Dec.
Article in English | MEDLINE | ID: mdl-18957310

ABSTRACT

Recent studies have suggested a clinical significance to the detection of anti-major histocompatibility complex class I-related chain A (MICA) antibodies in transplantation. We have developed an eplet-based version of the HLAMatchmaker algorithm to assess the epitope specificity of these antibodies. Molecular viewing of the MICA structure and the determination of amino acid sequence differences between MICA alleles has yielded a repertoire of 38 potentially immunogenic MICA eplets. These eplets are based on the functional epitope structure that considers a configuration of amino acids within a 3-Angstrom radius of an antibody-accessible polymorphic residue on the molecular surface. In this study MICA-reactive sera were screened in Luminex assays with single MICA allele panels and analyzed with HLAMatchmaker. We identified reactivity patterns that correspond to eplet-specific antibodies to identify of unacceptable MICA mismatches including those alleles that have not been tested with the serum. In conclusion, HLAMatchmaker is a useful algorithm to analyze the reactivity patterns of anti-MICA antibodies and the determination of MICA mismatch acceptability at the structural level.


Subject(s)
Algorithms , Antibody Specificity , Epitope Mapping , Epitopes , Histocompatibility Antigens Class I/immunology , Antigen Presentation , Graft Rejection/immunology , Histocompatibility Antigens Class I/chemistry , Histocompatibility Antigens Class I/metabolism , Histocompatibility Testing , Humans , Isoantibodies/immunology , Organ Transplantation , Peptides , Protein Binding , Structure-Activity Relationship , Transplantation Immunology
6.
Immunogenetics ; 60(5): 207-17, 2008 May.
Article in English | MEDLINE | ID: mdl-18369612

ABSTRACT

By interacting with polymorphic HLA class I molecules, the killer cell immunoglobulin-like receptors (KIR) influence the innate and adaptive immune response to infection. The KIR family varies in gene content and sequence polymorphism, thereby, distinguishing individuals and populations. To investigate KIR diversity in the earliest settlers of India, we have characterized the KIR gene content in three Dravidian-speaking populations (Mollukurumba, Kanikar, and Paravar) from the state of Tamil Nadu, southern India. The activating KIR genes and putative group-B KIR haplotypes were frequent in Paravar and Kanikar, a scenario analogous to those seen previously in other populations of Indian origin, indicating that predominance of group-B KIR haplotypes is the characteristic feature of Indian populations. In contrast, the KIR gene profile of Mollukurumba was more related to Caucasian type. It is not clear whether a local-specific selection or a recent admixture from Iran is responsible for such discrete profile in Mollukurumba. Each southern Indian population had distinct KIR genotype profile. Comparative analyses with world populations revealed that group-B KIR haplotypes were frequent in the natives of India, Australia, and America, the populations associated with those involved in extensive prehistoric human migrations. Whether or not natural selection has acted to enrich group-B KIR haplotypes in these migratory descendants is an issue that requires objective testing.


Subject(s)
Gene Frequency , Genetic Variation , Genetics, Population , Racial Groups/genetics , Receptors, KIR/genetics , Haplotypes , Humans , India
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