Michael T. Aubrey

Peanut-allergic subjects and their peanut-tolerant siblings have large differences in peanut-specific IgG that are independent of HLA class II.

We enrolled 53 peanut-allergic subjects and 64 peanut-tolerant full siblings, measured peanut-specific IgG and IgE, determined HLA class II at high resolution, and analyzed DRB1 alleles by supertypes. Peanut-specific IgG and IgE were elevated in the peanut-allergic subjects (p<0.0001) but did not stratify with HLA alleles, haplotypes, or supertypes. There were no significant differences in HLA class II between the peanut-allergic and peanut-tolerant siblings but there was an increased frequency of DRB1*0803 in both sets of siblings compared to unrelated controls (p(c)=4.5×10⁻⁹). Furthermore, we identified 14 sibling pairs in which the peanut-allergic and the peanut-tolerant siblings have identical HLA class II and again found an elevation of anti-peanut IgG in the peanut-allergic subjects (p<0.0001). In conclusion, although DRB1*0803 may identify a subset of families with increased risk of peanut allergy, differences in peanut-specific immunoglobulin production between peanut-allergic subjects and their peanut-tolerant siblings are independent of HLA class II.

Association of the HLA–DRB1 epitope LA67, 74 with rheumatoid arthritis and citrullinated vimentin binding

OBJECTIVE Although rheumatoid arthritis (RA) has long been associated with an HLA-DRB1 shared epitope, a systematic search for other epitopes has never been conducted. In addition, the relationship between these epitopes and the binding of citrullinated autoantigens has not been investigated. We developed a program that can analyze HLA data for all possible epitopes of up to 5 amino acids and used this program to assess the shared epitope hypothesis in RA. METHODS We analyzed high-resolution data from the International Histocompatibility Working Group, which included a group of 488 patients with RA and a group of 448 racially and ethnically balanced control subjects, for all combinations of up to 5 amino acids among polymorphic HLA-DRB1 positions 8-93. Statistical significance was determined by chi-square and Fishers exact tests, with a false discovery rate correction. RESULTS Three residues (V(11), H(13), and L(67)) were found to have the highest degree of association with RA susceptibility (P < 10(-11)), and D(70) was found to correlate best with RA resistance (P = 2 × 10(-11)). Of >2 million epitopes examined, LA(67, 74) exhibited the highest correlation with RA susceptibility (P = 2 × 10(-20); odds ratio 4.07 [95% confidence interval 3.07-5.39]). HLA alleles containing the LA(67, 74) epitope exhibited significantly greater binding to citrullinated vimentin(65-77) than did alleles containing D(70). Only 1 allele (DRB1*16:02) contained both LA(67, 74) and D(70); it bound citrullinated vimentin weakly and was not associated with RA. CONCLUSION The findings of these studies confirm the importance of HLA-DRB1 amino acids in pocket 4 for the binding of citrullinated autoantigens and susceptibility to RA.

A bioinformatics approach to ascertaining the rarity of HLA alleles

A project of the 15th International Histocompatibility Workshop examined the rarity of human leukocyte antigen (HLA) alleles. A section was constructed in the website, www.allelefrequencies.net to contain this data from different sources. A mechanism to search the data was implemented for use by any individual.

Multiple HLA Epitopes Contribute to Type 1 Diabetes Susceptibility

Disease susceptibility for type 1 diabetes is strongly associated with the inheritance of specific HLA alleles. However, conventional allele frequency analysis can miss HLA associations because many alleles are rare. In addition, disparate alleles that have similar peptide-binding sites, or shared epitopes, can be missed. To identify the HLA shared epitopes associated with diabetes, we analyzed high-resolution genotyping for class I and class II loci. The HLA epitopes most strongly associated with susceptibility for disease were DQB1 A57, DQA1 V76, DRB1 H13, and DRB1 K71, whereas DPB1 YD9,57, HLA-B C67, and HLA-C YY9,116 were more weakly associated. The HLA epitopes strongly associated with resistance were DQB1 D57, DQA1 Y80, DRB1 R13, and DRB1 A71. A dominant resistance phenotype was observed for individuals bearing a protective HLA epitope, even in the presence of a susceptibility epitope. In addition, an earlier age of disease onset correlated with significantly greater numbers of susceptibility epitopes and fewer resistance epitopes (P < 0.0001). The prevalence of both DQ and DR susceptibility epitopes was higher in patients than in control subjects and was not exclusively a result of linkage disequilibrium, suggesting that multiple HLA epitopes may work together to increase the risk of developing diabetes.

Arthritogenic peptide binding to DRB1*01 alleles correlates with susceptibility to rheumatoid arthritis

Genetic susceptibility to rheumatoid arthritis (RA) is often defined by the presence of a shared epitope (QKRAA, QRRAA, or RRRAA) at positions 70-74 in HLA-DRβ1. However, DRβ1*01:01 and 01:02 contain the same QRRAA epitope, but differ considerably in their susceptibility to RA. The purpose of this study was to determine if this difference could be explained by their ability to bind three arthritogenic peptides that we have previously shown to bind to the archetypal RA-susceptible allele, DRβ1*04:01, but not to the resistant DRβ1*08:01 allele. Binding of type II collagen(258-272), citrullinated and native vimentin(66-78), and citrullinated and native α-enolase(11-25) were measured on cell lines expressing either DRβ1*01:01, *01:02 or *01:03 in association with DRα1*01:01. DRβ1*01:01 and *01:02 both exhibited a 6.5-fold preference for citrullinated vimentin(66-78) compared to native vimentin. However, DRβ1*01:01 also exhibited a 1.7-fold preference for citrullinated α-enolase(11-25) and bound collagen(258-272), while DRβ1*01:02 bound neither of these peptides. Consistent with its known resistance to RA, DRβ1*01:03 preferentially bound native vimentin(66-78) and α-enolase(11-25) over the citrullinated forms of these peptides, and also failed to bind collagen(258-272). Site-directed mutagenesis was performed to determine which amino acid residues were responsible for the differences between these alleles. Mutating position 86 in DRβ1*01:01 from glycine to the valine residue found in DRβ1*01:02 eliminated binding of both citrullinated α-enolase(11-25) and collagen(258-272), thereby recapitulating the peptide-binding profile of DRβ1*01:02. The difference in susceptibility to rheumatoid arthritis between DRβ1*01:01 and *01:02 thus correlates with the effect of position 86 on the binding of these arthritogenic peptides. Consistent with their association with RA resistance, positions I67, D70 and E71 all contributed to the inability of DRβ1*01:03 to bind these arthritogenic peptides.

A Molecular Analysis of the Shared Epitope Hypothesis: Binding of Arthritogenic Peptides to DRB1*04 Alleles

The shared epitope hypothesis posits that amino acids QR/KRAA in positions 70–74 of the DRΒ1 chain are responsible for rheumatoid arthritis susceptibility. However, even DRB1*04 alleles containing the shared epitope vary greatly with respect to degrees of susceptibility. This study was undertaken to conduct a molecular examination of the shared epitope hypothesis by measuring binding of arthritogenic peptides to susceptibility and resistance alleles.

Lack of HLA predominance and HLA shared epitopes in biliary Atresia

Biliary atresia (BA) is characterized by progressive inflammation and fibrosis of bile ducts. A theory of pathogenesis entails autoimmune-mediated injury targeting bile duct epithelia. One of the strongest genetic associations with autoimmunity is with HLA genes. In addition, apparently dissimilar HLA alleles may have similar antigen-binding sites, called shared epitopes, that overlap in their capacity to present antigens. In autoimmune disease, the incidence of the disease may be related to the presence of shared epitopes, not simply the HLA allelic association. Aim: To determine HLA allele frequency (high-resolution genotyping) and shared epitope associations in BA. Results: Analysis of every allele for HLA-A, -B, -C, -DRB1, -DPB1 and -DQB1 in 180 BA and 360 racially-matched controls did not identify any significant HLA association with BA. Furthermore, shared epitope analysis of greater than 10 million possible combinations of peptide sequences was not different between BA and controls. Conclusions: This study encompasses the largest HLA allele frequency analysis for BA in the United States and is the first study to perform shared epitope analysis. When controlling for multiple comparisons, no HLA allele or shared epitope association was identified in BA. Future studies of genetic links to BA that involve alterations of the immune response should include investigations into defects in regulatory T cells and non-HLA linked autoinflammatory diseases.

Selecting the Best Donor for Haploidentical Transplant: Impact of HLA, Killer Cell Immunoglobulin-Like Receptor Genotyping, and Other Clinical Variables

The use of post-transplant cyclophosphamide (PTCy)-based haploidentical (haplo) transplant is increasing worldwide. However, because multiple potential haplo donors are usually available, data-driven guidance is clearly needed to help transplant centers prioritize donors. To that end, we retrospectively analyzed 208 consecutive donor-recipient pairs receiving PTCy-based haplo transplant at a single institution. Median recipient and donor age were 52 years (range, 19 to 75) and 38 years (range, 15 to 73), peripheral blood stem cell was the stem cell source in 66%, and myeloablative conditioning was used in 41%. Median follow-up for surviving patients was 33 months (range, 7 to 130). Donor variables analyzed included age, sex, relationship, cytomegalovirus (CMV) status, ABO compatibility, HLA disparity, and several natural killer (NK) alloreactivity models. Multivariate Cox analysis was used to adjust for known patient, disease, and transplant covariates. Donor characteristics independently associated with improved survival included presence of HLA-DR mismatch, HLA-DP nonpermissive mismatch, killer cell immunoglobulin-like receptor (KIR) receptor-ligand mismatch, and KIR B/x haplotype with KIR2DS2. Donor characteristics associated with inferior survival included parental donor relationship and the use of a CMV-seronegative donor for a CMV-seropositive patient. Increased HLA disparity (≥4/10 HLA allelic mismatches [graft-versus-host direction]) resulted in relapse protection at the expense of increased nonrelapse mortality with no associated survival effect. We further propose a donor risk factor scoring system to permit a more evidence-based selection algorithm for potential haplo donors. This large, single-institution analysis demonstrates the importance of HLA-DR/HLA-DP disparity, NK alloreactivity, and other clinical variables in the haplo donor selection process and suggests that KIR and HLA-DP genotyping should be performed routinely for haplo donor selection.

A Molecular Analysis of the Shared Epitope Hypothesis

The shared epitope hypothesis posits that amino acids QR/KRAA in positions 70–74 of the DRΒ1 chain are responsible for rheumatoid arthritis susceptibility. However, even DRB1*04 alleles containing the shared epitope vary greatly with respect to degrees of susceptibility. This study was undertaken to conduct a molecular examination of the shared epitope hypothesis by measuring binding of arthritogenic peptides to susceptibility and resistance alleles.

A Molecular Analysis of the Shared Epitope Hypothesis: Binding of Arthritogenic Peptides to DRB1*04 Alleles: DRB1 AMINO ACIDS AND BINDING OF ARTHRITOGENIC PEPTIDES

The shared epitope hypothesis posits that amino acids QR/KRAA in positions 70–74 of the DRΒ1 chain are responsible for rheumatoid arthritis susceptibility. However, even DRB1*04 alleles containing the shared epitope vary greatly with respect to degrees of susceptibility. This study was undertaken to conduct a molecular examination of the shared epitope hypothesis by measuring binding of arthritogenic peptides to susceptibility and resistance alleles.