HLA variants and TCR diversity against SARS-CoV-2 in the pre-COVID-19 era.

HLA antigen presentation and T-cell mediated immunity are critical to control acute viral infection such as COVID-19 caused by SARS-CoV-2. Recent data suggest that both the depth of peptide presentation and the breadth of the T-cell repertoire are associated with disease outcome. It has also been shown that unexposed subjects can develop strong T-cell responses against SARS-CoV-2 due to heterologous immunity. In this study, we explored the anti-SARS-CoV-2 T-cell repertoire by analyzing previously published T-cell receptor (TCR) CDR3ß immunosequencing data in a cohort of 116 healthy donors and in the context of immune reconstitution after allogeneic hematopoietic stem cell transplantation in 116 recipients collected during the pre-COVID-19 era. For this, 143,310 publicly available SARS-CoV-2 specific T-cell sequences were investigated among the 3.5 million clonotypes in the cohort. We also performed HLA class I peptide binding predictions using the reference proteome of the virus and high resolution genotyping data in these patients. We could demonstrate that individuals are fully equipped at the genetic level to recognize SARS-CoV-2. This is evidenced by the 5% median cumulative frequency of clonotypes having their sequence matched to a SARS-CoV-2 specific T-cell. In addition, any combination of HLA class I variants in this cohort is associated with a broad capacity of presenting hundreds of SARS-CoV-2 derived peptides. These results could be explained by heterologous immunity and random somatic TCR recombination. We speculate that these observations could explain the efficacy of the specific immune response against SARS-CoV-2 in individuals without risk factors of immunodeficiency and infected prior to vaccination.

Analysis of the T-cell repertoire and transcriptome identifies mechanisms of regulatory T-cell suppression of GVHD.

CD4+FOXP3+ regulatory T cells (Tregs) have demonstrated efficacy in the prevention and treatment of graft-versus-host disease (GVHD). Preclinical and clinical studies indicate that Tregs are able to protect from GVHD without interfering with the graft-versus-tumor (GVT) effect of hematopoietic cell transplantation (HCT), although the underlying molecular mechanisms are largely unknown. To elucidate Treg suppressive function during in vivo suppression of acute GVHD, we performed paired T-cell receptor (TCRα and ΤCRß genes) repertoire sequencing and RNA sequencing analysis on conventional T cells (Tcons) and Tregs before and after transplantation in a major histocompatibility complex -mismatched mouse model of HCT. We show that both Tregs and Tcons underwent clonal restriction, and Tregs did not interfere with the activation of alloreactive Tcon clones and the breadth of their TCR repertoire but markedly suppressed their expansion. Transcriptomic analysis revealed that Tregs predominantly affected the transcriptome of CD4 Tcons and, to a lesser extent, that of CD8 Tcons, thus modulating the transcription of genes encoding pro- and anti-inflammatory molecules as well as enzymes involved in metabolic processes, inducing a switch from glycolysis to oxidative phosphorylation. Finally, Tregs did not interfere with the induction of gene sets involved in the GVT effect. Our results shed light onto the mechanisms of acute GVHD suppression by Tregs and will support the clinical translation of this immunoregulatory approach.

Regulation of HLA class I expression by non-coding gene variations.

The Human Leukocyte Antigen (HLA) is a critical genetic system for different outcomes after solid organ and hematopoietic cell transplantation. Its polymorphism is usually determined by molecular technologies at the DNA level. A potential role of HLA allelic expression remains under investigation in the context of the allogenic immune response between donors and recipients. In this study, we quantified the allelic expression of all three HLA class I loci (HLA-A, B and C) by RNA sequencing and conducted an analysis of expression quantitative traits loci (eQTL) to investigate whether HLA expression regulation could be associated with non-coding gene variations. HLA-B alleles exhibited the highest expression levels followed by HLA-C and HLA-A alleles. The max fold expression variation was observed for HLA-C alleles. The expression of HLA class I loci of distinct individuals demonstrated a coordinated and paired expression of both alleles of the same locus. Expression of conserved HLA-A~B~C haplotypes differed in distinct PBMC's suggesting an individual regulated expression of both HLA class I alleles and haplotypes. Cytokines TNFα /IFNß, which induced a very similar upregulation of HLA class I RNA and cell surface expression across alleles did not modify the individually coordinated expression at the three HLA class I loci. By identifying cis eQTLs for the HLA class I genes, we show that the non-coding eQTLs explain 29%, 13%, and 31% of the respective HLA-A, B, C expression variance in unstimulated cells, and 9%, 23%, and 50% of the variance in cytokine-stimulated cells. The eQTLs have significantly higher effect sizes in stimulated cells compared to unstimulated cells for HLA-B and HLA-C genes expression. Our data also suggest that the identified eQTLs are independent from the coding variation which defines HLA alleles and thus may be influential on intra-allele expression variability although they might not represent the causal eQTLs.

Analysis of biological models to predict clinical outcomes based on HLA-DPB1 disparities in unrelated transplantation.

HLA compatibility is a key factor for survival after unrelated hematopoietic stem cell transplantation (HSCT). HLA-A, -B, -C, -DRB1, and -DQB1 are usually matched between donor and recipient. By contrast, HLA-DPB1 mismatches are frequent, although it is feasible to optimize donor selection and DPB1 matching with prospective typing. Because classical DPB1 allele mismatches are often unavoidable, however, several biological models have been developed to predict the optimal DPB1 mismatch combination for less graft-versus-host disease (GVHD) and better overall survival. In 909 recipient/donor pairs, we analyzed the role of 3 biological models: T-cell epitopes (TCEs) based on the immunogenicity of DPB1, cell surface expression of DPB1 molecules based on a single-nucleotide polymorphism located in the 3' untranslated region, and the Predicted Indirectly ReCognizable HLA Epitopes (PIRCHE) model based on the presentation of allogeneic peptides derived from mismatched HLA, compared with the classical allele mismatch. Matching for both DPB1 alleles remains the best option to prevent acute GVHD. In the situation of one DPB1 allele mismatch, the donor associated with the lowest acute GVHD risks is mismatched for an allele with a low expression profile in the recipient, followed by a permissive TCE3/4 mismatch and/or the absence of PIRCHE II potential against the recipient. In the context of 2 DPB1 mismatches, the same considerations apply for a permissive TCE3/4 mismatch and no PIRCHE II. By combining the biological models, the most favorable DPB1 constellation can be defined. This approach will help optimize donor selection and improve post-HSCT complications and patient prognosis.

Characterization of the novel HLA-B*15:514 allele in a French hematopoietic stem cell donor.

The novel HLA-B*15:514 allele was characterized using two next-generation sequencing technologies.

Detection of circulating highly expanded T-cell clones in at-risk individuals for rheumatoid arthritis before the clinical onset of the disease.

OBJECTIVES: To quantitatively profile the T-cell repertoire in the peripheral blood of individuals genetically at risk for RA, namely first-degree relatives of RA patients (RA-FDR) at different phases of disease development. METHODS: Next-generation sequencing of the TCR CDR3ß repertoire was performed on genomic DNA isolated from whole blood samples of RA-FDR selected at three different pre-clinical stages and of matched RA patients (n = 20/group). T-cell clones were identified by their unique sequence and their degree of expansion (frequency) within each sample was characterized. Clones with a frequency over 0.5% were considered highly expanded clones (HEC). RESULTS: The absolute number of HEC was significantly higher in established RA patients (mean 4.65) and tended to be higher in symptomatic RA-FDR (mean 3.4) compared with asymptomatic RA-FDR (mean 1.55, P =0.003 and P =0.07, respectively). Asymptomatic individuals with high levels of ACPA did not differ from asymptomatic RA-FDR in terms of absolute number and frequency of clones. The number of HEC tended to be slightly higher at the time of RA onset (P =0.055). Neither clones shared by several patients, nor clones previously associated with RA, were preferentially present within or between the different groups. Finally, a longitudinal analysis did not allow to uncover a kinetic expansion of RA-specific clones closely correlated with disease development. CONCLUSIONS: HEC were detected in the peripheral blood before the clinical onset of RA, in particular in the later pre-clinical phase of RA development, and their presence increased over time.

Binding affinities of 438 HLA proteins to complete proteomes of seven pandemic viruses and distributions of strongest and weakest HLA peptide binders in populations worldwide.

We report detailed peptide-binding affinities between 438 HLA Class I and Class II proteins and complete proteomes of seven pandemic human viruses, including coronaviruses, influenza viruses and HIV-1. We contrast these affinities with HLA allele frequencies across hundreds of human populations worldwide. Statistical modelling shows that peptide-binding affinities classified into four distinct categories depend on the HLA locus but that the type of virus is only a weak predictor, except in the case of HIV-1. Among the strong HLA binders (IC50 ≤ 50), we uncovered 16 alleles (the top ones being A*02:02, B*15:03 and DRB1*01:02) binding more than 1% of peptides derived from all viruses, 9 (top ones including HLA-A*68:01, B*15:25, C*03:02 and DRB1*07:01) binding all viruses except HIV-1, and 15 (top ones A*02:01 and C*14:02) only binding coronaviruses. The frequencies of strongest and weakest HLA peptide binders differ significantly among populations from different geographic regions. In particular, Indigenous peoples of America show both higher frequencies of strongest and lower frequencies of weakest HLA binders. As many HLA proteins are found to be strong binders of peptides derived from distinct viral families, and are hence promiscuous (or generalist), we discuss this result in relation to possible signatures of natural selection on HLA promiscuous alleles due to past pathogenic infections. Our findings are highly relevant for both evolutionary genetics and the development of vaccine therapies. However they should not lead to forget that individual resistance and vulnerability to diseases go beyond the sole HLA allelic affinity and depend on multiple, complex and often unknown biological, environmental and other variables.

Correction: High-resolution HLA phased haplotype frequencies to predict the success of unrelated donor searches and clinical outcome following hematopoietic stem cell transplantation.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Identification of four novel HLA-A alleles.

Four novel HLA-A alleles were detected using two next-generation sequencing technologies.

Characterization of the novel HLA-B*07:398 allele in a French hematopoietic stem cell donor.

HLA-B*07:398 differs from HLA-B*07:02:01:01 by one nucleotide substitution at codon 98.3 in exon 3.

Identification of seven novel HLA-C alleles.

Seven novel HLA-C alleles were detected using two next-generation sequencing technologies.

CD8+ T-Cell Repertoire in Human Leukocyte Antigen Class I-Mismatched Alloreactive Immune Response.

In transplantation, direct allorecognition is a complex interplay between T-cell receptors (TCR) and HLA molecules and their bound peptides expressed on antigen-presenting cells. In analogy to HLA mismatched hematopoietic stem cell transplantation (HSCT), the TCR CDR3ß repertoires of alloreactive cytotoxic CD8+ responder T cells, defined by the cell surface expression of CD137 and triggered in vitro by HLA mismatched stimulating cells, were analyzed in different HLA class I mismatched combinations. The same HLA mismatched stimulatory cells induced very different repertoires in distinct but HLA identical responders. Likewise, stimulator cells derived from HLA identical donors activated CD8+ cells expressing very different repertoires in the same mismatched responder. To mimic in vivo inflammation, expression of HLA class l antigens was upregulated in vitro on stimulating cells by the inflammatory cytokines TNFα and IFNß. The repertoires differed whether the same responder cells were stimulated with cells treated or not with both cytokines. In conclusion, the selection and expansion of alloreactive cytotoxic T-cell clonotypes expressing a very diverse repertoire is observed repeatedly despite controlling for HLA disparities and is significantly influenced by the inflammatory status. This makes prediction of alloreactive T-cell repertoires a major challenge in HLA mismatched HSCT.

Genetic T-cell receptor diversity at 1 year following allogeneic hematopoietic stem cell transplantation.

After allogeneic hematopoietic stem cell transplantation (HSCT), immune reconstitution leads to the development of a new T-cell repertoire. Immune reconstitution could be influenced by events such as conditioning, infections, and graft versus host disease (GVHD). Factors influencing the TCR diversity are of great interest to fine-tune the strategy for donor selection and to optimize standard of care. In this work, immunosequencing of the TCR CDR3ß region was carried out in a large cohort of 116 full chimeric recipients at 1 year post-HSCT and their respective donors prior to transplantation. The repertoire overlap before and after HSCT was minimal, supporting de novo reconstitution as a primary pathway at any age. Among the parameters investigated, increased patient and/or donor age as well as positive CMV serologic status reinforced by CMV infection/reactivation were the ones significantly associated with a reduced diversity at 1 year post-HSCT. CMV-specific T-cell clones were shown to influence the clonality of the repertoire alongside the expansion of limited numbers of non-CMV T-cell populations. Interestingly, at the exception of CMV infection/reactivation, TCR diversity was not predictive of GVHD, relapse, death, or infections post-HSCT.

High-resolution HLA phased haplotype frequencies to predict the success of unrelated donor searches and clinical outcome following hematopoietic stem cell transplantation.

HLA matching is a critical factor for successful allogeneic hematopoietic stem cell transplantation. For unrelated donor searches, matching is usually based on high-resolution typing at five HLA loci, looking for a 10/10 match. Some studies have proposed that further matching at the haplotype level could be beneficial for clinical outcome. In this study, we determined the phased haplotypes of 291 patients using family members and segregation analysis. The sum of ranks of the haplotypes carried by patients was used as a surrogate predictor of a successful unrelated donor search. The putative impact of haplotypes was then analyzed in a cohort of 211 recipients transplanted with 10/10 matched unrelated donors. A logistic regression analysis showed a highly significant effect of the haplotypes in the outcome of a search, but we did not find any significant effect on overall survival, graft versus host disease or relapse/progression following HSCT. This study provides useful data for the optimization of unrelated bone marrow donor searches, but does not confirm previous reports that matching at the haplotype level has a clinical impact following HSCT. Due to the extreme polymorphism of HLA genes, further studies are warranted to better understand the many factors at play.

[Evaluation of the new algorithm in ANCA testing]. / Présentation des nouveaux algorithmes de dosage d'ANCA.

Testing for ANCA is useful for the diagnosis and monitoring of disease activity in ANCA associated vasculitis. ANCA testing is also sometimes requested for other indications. The relevance of indirect immunofluorescence in ANCA testing is controversial and has recently been the object of new international recommendations. The new approach certainly improves the performance of this test, particularly in Switzerland where, due to the large number of requests, the pre-test probability of ANCA associated vasculitis is relatively low. However, in this article we discuss the possible flaws of the new algorithm based on two recent cases, and highlight the importance of a good communication with the laboratory in order to improve the interpretation of the results.

La recherche des ANCA est utilisée pour le diagnostic et le suivi de l'activité des vasculites associées aux ANCA, mais aussi parfois pour d'autres indications plus controversées. La place de l'immunofluorescence indirecte dans l'algorithme de dépistage et de suivi des vasculites à ANCA est contestée depuis plusieurs années et a récemment fait l'objet de nouvelles recommandations internationales. Cette nouvelle approche améliore certainement le rendement de ce test, en particulier en Suisse où, en raison du grand nombre d'analyses demandé, la probabilité prétest d'une vasculite à ANCA est relativement faible. Cependant, nous discutons dans cet article les possibles failles de la nouvelle approche en nous basant sur deux cas récents au laboratoire et rendons les prescripteurs attentifs sur l'importance de la communication avec le laboratoire afin d'améliorer l'interprétation des résultats.

Identification of seven novel HLA class I and II alleles.

Seven novel alleles were identified using two next generation sequencing technologies. Three alleles were confirmed.

Correction to: HLA class I molecular variation and peptide-binding properties suggest a model of joint divergent asymmetric selection.

The above article originally published with an incomplete bibliographic information for Bitarello et al. (2016) and presented correctly in this article.

The HLA-B landscape of Africa: Signatures of pathogen-driven selection and molecular identification of candidate alleles to malaria protection.

Human leukocyte antigen (HLA) genes play a key role in the immune response to infectious diseases, some of which are highly prevalent in specific environments, like malaria in sub-Saharan Africa. Former case-control studies showed that one particular HLA-B allele, B*53, was associated with malaria protection in Gambia, but this hypothesis was not tested so far within a population genetics framework. In this study, our objective was to assess whether pathogen-driven selection associated with malaria contributed to shape the HLA-B genetic landscape of Africa. To that aim, we first typed the HLA-A and -B loci in 484 individuals from 11 populations living in different environments across the Sahel, and we analysed these data together with those available for 29 other populations using several approaches including linear modelling on various genetic, geographic and environmental parameters. In addition to relevant signatures of populations' demography and migrations history in the genetic differentiation patterns of both HLA-A and -B loci, we found that the frequencies of three HLA alleles, B*53, B*78 and A*74, were significantly associated with Plasmodium falciparum malaria prevalence, suggesting their increase through pathogen-driven selection in malaria-endemic environments. The two HLA-B alleles were further identified, by high-throughput sequencing, as B*53:01:01 (in putative linkage disequilibrium with one HLA-C allele, C*04:01:01:01) and B*78:01 in all but one individuals tested, making them appropriate candidates to malaria protection. These results highlight the role of environmental factors in the evolution of the HLA polymorphism and open key perspectives for functional studies focusing on HLA peptide-binding properties.

Allorecognition of HLA-C Mismatches by CD8+ T Cells in Hematopoietic Stem Cell Transplantation Is a Complex Interplay between Mismatched Peptide-Binding Region Residues, HLA-C Expression, and HLA-DPB1 Disparities.

HLA-C locus mismatches (MMs) are the most frequent class I disparities in unrelated hematopoietic stem cell transplantation (HSCT) and have a detrimental impact on clinical outcome. Recently, a few retrospective clinical studies have reported some variability in the immunogenicity of HLA-C incompatibilities. To get better insight into presumably permissive HLA-C MMs, we have developed a one-way in vitro mixed lymphocyte reaction (MLR) assay allowing to quantify activated CD56-CD137+CD8+ lymphocytes in HLA-C incompatible combinations. T cell-mediated alloresponses were correlated with genetic markers such as HLA-C mRNA expression and the number of amino acid (aa) MMs in the α1/α2 domains (peptide-binding region). Because of the high rate of HLA-DPB1 incompatibilities in HLA-A-, B-, C-, DRB1-, and DQB1-matched unrelated HSCT patient/donor pairs, the impact of HLA-DPB1 mismatching, a potential bystander of CD4+ T cell activation, was also considered. Heterogeneous alloresponses were measured in 63 HLA-C-mismatched pairs with a positive assay in 52% of the combinations (2.3-18.6% activated CTLs), representing 24 different HLA-A~B~DRB1~DQB1 haplotypes. There was no correlation between measured alloresponses and mRNA expression of the mismatched HLA-C alleles. The HLA-C*03:03/03:04 MM did not induce any positive alloresponse in five MLRs. We also identified HLA-C*02:02 and HLA-C*06:02 as mismatched alleles with lower immunogenicity, and HLA-C*14:02 as a more immunogenic MM. A difference of at least 10 aa residues known to impact peptide/T cell receptor (TCR) binding and a bystander HLA-DPB1 incompatibility had a significant impact on CTL alloreactivity (p = 0.021). The same HLA-C MM, when recognized by two different responders with the same HLA haplotypes, was recognized differently, emphasizing the role of the T-cell repertoire of responding cells. In conclusion, mismatched HLA-C alleles differing by 10 or more aas in the peptide/TCR-binding region, when occurring together with HLA-DPB1 incompatibilities, should be considered as high-risk MMs in unrelated HSCT.