Human Leukocyte Antigen System Research Articles

Механізми етіопатогенезу, клініки та сучасні підходи до лікування синдрому стівенса-джонсона та токсичного епідермального некролізу

Abstract. This article contains descriptive data on the etiology, pathogenesis, clinical presentation, diagnostics and treatment of Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN). SJS and TEN are relatively rare conditions, however, due to their severity, lethality and long-term negative consequences it is not only necessary to understand their etiopathogenesis clearly, but it’s also crucial to be alert to the patient’s allergic anamnesis for timely assessment of their condition and diagnosis with following adequate therapy. Prevalence of these diseases is from 0.4 to 1.4 cases per million persons per year, total lethality is approximately — 20 %. Development of these diseases is related to genetic predisposition of the human leukocyte antigen system (HLA). Medications are the most common triggers and play an important role in their onset, other factors, including infections, can also significantly affect the risk of their inception. In the present day, the SCORTEN scale is used to assess the severity of SJS and TEN. General principles of patients’ curation are based on the multidisciplinary approach, early diagnosis, discontinuation of trigger medications that could possibly cause SJS and TEN. In case when SJS/TEN were caused by infections, patient receives appropriate etiotropic therapy to eliminate the infection. The complex treatment algorithm must ensure hemodynamic stability, pain reduction, detoxification, local treatment, elimination of concomitant infections, use of anti-inflammatory and various immunotropic agents.

Can presence of HLA type I and II alleles be associated with clinical spectrum of CHIKV infection?

Host immune response and virulence factors are key to disease susceptibility. However, there are no known association studies of human leukocyte antigen (HLA) class I and II alleles with chikungunya virus (CHIKV) infection in the Latin American population. Here, we aimed to identify HLA alleles present in patients with CHIKV infection versus healthy controls as well as the allelic association with the clinical spectrum of the disease. We conducted a cross-sectional analysis of a community cohort and included patients aged 18 years and older with serologically confirmed CHIKV infection. HLA typing of HLA-A, HLA-B, and HLA-DRB1 alleles was performed. Two-by-two tables were used to establish associations between allele presence and clinical characteristics. Data from 65 patients with confirmed CHIKV infection were analyzed for HLA typing. CHIKV infection was significantly associated with the presence of HLA-A*68 [p=.005; odds ratio (OR): 8.90; 95% confidence interval (CI): 1.88-42.13], HLA-B*35 (p=.03; OR: 2.01; 95% CI: 1.06-3.86), HLA-DRB*01 (p<.001; OR: 5.70; 95% CI: 1.95-16.59), HLA-DRB1*04 (p<.001; OR: 7.37; 95% CI: 3.33-16.30), and HLA-DRB1*13 (p=.004; OR: 3.75; 95% CI: 1.50-9.39) alleles in patients versus healthy subjects. A statistically significant relationship was found between the presence of a rash on the face or abdomen and the presence of HLA-DRB1*04 (p=.028; OR: 3.2; 95% CI: 1.11-9.15 and p=.007; OR: 4.33; 95% CI: 1.45-12.88, respectively). Our study demonstrated that, in our cohort, HLA type I and type II alleles are associated with CHIKV infection, and an HLA type II allele is associated with dermatological symptoms. Further research is needed to establish a path for future investigation of genes outside the HLA system to improve knowledge of the pathophysiology of CHIKV infection and its host-pathogen interaction.

The New Kid on the Block: HLA-C, a Key Regulator of Natural Killer Cells in Viral Immunity.

The human leukocyte antigen system (HLA) is a cluster of highly polymorphic genes essential for the proper function of the immune system, and it has been associated with a wide range of diseases. HLA class I molecules present intracellular host- and pathogen-derived peptides to effector cells of the immune system, inducing immune tolerance in healthy conditions or triggering effective immune responses in pathological situations. HLA-C is the most recently evolved HLA class I molecule, only present in humans and great apes. Differentiating from its older siblings, HLA-A and HLA-B, HLA-C exhibits distinctive features in its expression and interaction partners. HLA-C serves as a natural ligand for multiple members of the killer-cell immunoglobulin-like receptor (KIR) family, which are predominately expressed by natural killer (NK) cells. NK cells are crucial for the early control of viral infections and accumulating evidence indicates that interactions between HLA-C and its respective KIR receptors determine the outcome and progression of viral infections. In this review, we focus on the unique role of HLA-C in regulating NK cell functions and its consequences in the setting of viral infections.

Association of HLA class I and II genes with Middle East respiratory syndrome coronavirus infection in Koreans.

IntroductionMiddle East Respiratory Syndrome (MERS) caused by MERS‐coronavirus (CoV) is a lower respiratory tract disease characterized by a high mortality rate. MERS‐CoV spread from Saudi Arabia to other countries, including South Korea. Dysfunction of the human leukocyte antigen (HLA) system has many effects due to genetic complexity and its role in the adaptive immune response. We investigated the association of HLA class I and II alleles with MERS‐CoV in 32 patients with MERS.MethodsHLA‐A, ‐B, ‐C, ‐DRB1, ‐DQB1, and ‐DPB1 were genotyped by polymerase chain reaction sequence‐based typing.ResultsHLA‐DQB1*03:02 are significantly associated with moderate/mild cases of MERS‐CoV. Other alleles are no statistical significance.ConclusionsTreatment strategies based on current research on the HLA gene and MERS‐CoV will provide potential therapeutic targets.

The Association Between Single-Nucleotide Polymorphisms of Co-Stimulatory Genes Within Non-HLA Region and the Prognosis of Leukemia Patients With Hematopoietic Stem Cell Transplantation.

To avoid graft rejection, the hematopoietic stem cells with matched classical human leukocyte antigen (HLA) alleles are the primary choice for clinical allogeneic transplantation. However, even if the fully HLA-matched hematopoietic stem cells are used for transplantation, some patients still have poor prognosis after hematopoietic stem cell transplantation (HSCT), suggesting that the HLA system was not the only determinant of the outcomes of HSCT. In this study, we investigated whether the single-nucleotide polymorphisms (SNPs) of the co-stimulatory genes within non-HLA regions were related to the outcomes of HSCT. The genomic DNAs of 163 patients who had acute leukemia and received HSCT and their respective donors were collected for analysis. Thirty-four SNPs located in the four co-stimulatory genes including cytotoxic T-lymphocyte associated protein 4 (CTLA4), CD28, tumor necrosis factor ligand superfamily 4 (TNFSF4), and programmed cell death protein 1 (PDCD1) were selected to explore their relationship with the adverse outcomes after transplantation, including mortality, cytomegalovirus infection, graft-versus-host disease, and relapse. Our results revealed that nine SNPs in the CTLA4 gene, five SNPs in the PDCD1 gene, two SNPs in the TNFSF4 gene, and four SNPs in the CD28 gene were significantly associated with the occurrence of adverse outcomes post-HSCT. These SNPs may play important roles in immune response to allografts post-HSCT and can be the targets for developing strategy to identify appropriate donors.

Does immune recognition of SARS-CoV2 epitopes vary between different ethnic groups?

The SARS-CoV2 mediated Covid-19 pandemic has impacted humankind at an unprecedented scale. While substantial research efforts have focused towards understanding the mechanisms of viral infection and developing vaccines/ therapeutics, factors affecting the susceptibility to SARS-CoV2 infection and manifestation of Covid-19 remain less explored. Given that the Human Leukocyte Antigen (HLA) system is known to vary among ethnic populations, it is likely to affect the recognition of the virus, and in turn, the susceptibility to Covid-19. To understand this, we used bioinformatic tools to probe all SARS-CoV2 peptides which could elicit T-cell response in humans. We also tried to answer the intriguing question of whether these potential epitopes were equally immunogenic across ethnicities, by studying the distribution of HLA alleles among different populations and their share of cognate epitopes. Results indicate that the immune recognition potential of SARS-CoV2 epitopes tend to vary between different ethnic groups. While the South Asians are likely to recognize higher number of CD8-specific epitopes, Europeans are likely to identify higher number of CD4-specific epitopes. We also hypothesize and provide clues that the newer mutations in SARS-CoV2 are unlikely to alter the T-cell mediated immunogenic responses among the studied ethnic populations. The work presented herein is expected to bolster our understanding of the pandemic, by providing insights into differential immunological response of ethnic populations to the virus as well as by gaging the possible effects of mutations in SARS-CoV2 on efficacy of potential epitope-based vaccines through evaluating ∼40,000 viral genomes.

Diversity of HLA class I and class II alleles in Iran populations: Systematic review and Meta-Analaysis

The human leukocyte antigen (HLA) system plays an essential role in the peptides antigen presentation and more regulation of immune responses. Regarding all HLA molecules' associations with various diseases and their clinical utilities in understanding drug reactions or prediction of transplantation outcome, there is a need for much more extensive HLA data generated from Asian countries. MethodA comprehensive search was conducted in electronic databases between 1990 and 2021 to identify relevant articles to HLA frequency in the normal Iranian population. Two independent reviewers screened and selected the eligible studies. After data extraction, the meta-analysis was performed using STATA version 14. The overall frequencies and their 95% confidence intervals (CIs) were obtained using the random-effects model. ResultsAmong 1141 studies 78 were eligible for this study and the sample sizes varied from 14 to 15,600. The most frequent alleles of HLA class I were HLA-A*02 (22%; 95%CI: 20–24%; I2 = 88.63%), -B*35 (18%; 95%CI: 16–21%; I2 = 90.95%), -C*12 (18%; 95%CI: 13–22%; I2 = 89.51%). HLA-DQA1*01 (42%; 95%CI: 40–44%; I2 = 56.80%), -DQB1*03 (38%; 95%CI: 35–42%; I2 = 92.38%), and -DRB1*11 (24%; 95%CI: 22–26%; I2 = 90.72%) were the most frequent alleles of HLA class II in Iran. DiscussionOur meta-analysis results point out that the comprehensive report of HLA allele frequency in the Iranian population could be helpful as reference data for planning and managing transplantation and immune disease treatment in Iran.

Celiac Disease Defined by Over-Sensitivity to Gliadin Activation and Superior Antigen Presentation of Dendritic Cells

The autoimmune condition, Celiac Disease (CeD), displays broad clinical symptoms due to gluten exposure. Its genetic association with DQ variants in the human leukocyte antigen (HLA) system has been recognised. Monocyte-derived mature dendritic cells (MoDCs) present gluten peptides through HLA-DQ and co-stimulatory molecules to T lymphocytes, eliciting a cytokine-rich microenvironment. Having access to CeD associated families prevalent in the Czech Republic, this study utilised an in vitro model to investigate their differential monocyte profile. The higher monocyte yields isolated from PBMCs of CeD patients versus control individuals also reflected the greater proportion of dendritic cells derived from these sources following lipopolysaccharide (LPS)/ peptic-tryptic-gliadin (PTG) fragment stimulation. Cell surface markers of CeD monocytes and MoDCs were subsequently profiled. This foremost study identified a novel bio-profile characterised by elevated CD64 and reduced CD33 levels, unique to CD14++ monocytes of CeD patients. Normalisation to LPS stimulation revealed the increased sensitivity of CeD-MoDCs to PTG, as shown by CD86 and HLA-DQ flow cytometric readouts. Enhanced CD86 and HLA-DQ expression in CeD-MoDCs were revealed by confocal microscopy. Analysis highlighted their dominance at the CeD-MoDC membrane in comparison to controls, reflective of superior antigen presentation ability. In conclusion, this investigative study deciphered the monocytes and MoDCs of CeD patients with the identification of a novel bio-profile marker of potential diagnostic value for clinical interpretation. Herein, the characterisation of CD86 and HLA-DQ as activators to stimulants, along with robust membrane assembly reflective of efficient antigen presentation, offers CeD targeted therapeutic avenues worth further exploration.

Frequency of HLA Alleles in a Group of Severe COVID-19 Iranian Patients.

Background:Human Leukocyte Antigen (HLA) system composed of a group of related proteins with important functions in the immune system. Several studies have reported that there is a significant association between specific HLA alleles and the susceptibility to different infectious diseases. This study aimed to detect the specific HLA alleles that cause higher susceptibility to COVID-19, we analyzed the HLA allele frequency distribution in Iranian patients with a severe form of COVID-19.Methods:Overall, 48 severe cases of COVID-19 that were hospitalized and required intensive care unit (ICU) admission between Oct and Dec 2020 were included in this study. Genomic DNA was extracted from the peripheral blood samples and HLA typing (Locus A, B, and DR) was performed for the patients.Results:After analyzing and comparing the results with a reference group of 500 Iranian individuals, a significant association was found for HLA-B*38, HLA-A*68, HLA-A*24, and HLA-DRB1*01.Conclusion:These results may be valuable for studying the potential association of specific HLA alleles with susceptibility to COVID-19 and mortality due to the disease.

Inhibition of IRGM establishes a robust antiviral immune state to restrict pathogenic viruses.

The type I interferon (IFN) response is the major host arsenal against invading viruses. IRGM is a negative regulator of IFN responses under basal conditions. However, the role of human IRGM during viral infection has remained unclear. In this study, we show that IRGM expression is increased upon viral infection. IFN responses induced by viral PAMPs are negatively regulated by IRGM. Conversely, IRGM depletion results in a robust induction of key viral restriction factors including IFITMs, APOBECs, SAMHD1, tetherin, viperin, and HERC5/6. Additionally, antiviral processes such as MHC‐I antigen presentation and stress granule signaling are enhanced in IRGM‐deficient cells, indicating a robust cell‐intrinsic antiviral immune state. Consistently, IRGM‐depleted cells are resistant to the infection with seven viruses from five different families, including Togaviridae, Herpesviridae, Flaviviverdae, Rhabdoviridae, and Coronaviridae. Moreover, we show that Irgm1 knockout mice are highly resistant to chikungunya virus (CHIKV) infection. Altogether, our work highlights IRGM as a broad therapeutic target to promote defense against a large number of human viruses, including SARS‐CoV‐2, CHIKV, and Zika virus.

Immunopharmacogenomics: Mechanisms of HLA-Associated Drug Reactions.

The human leukocyte antigen (HLA) system is the most polymorphic in the human genome that has been associated with protection and predisposition to a broad array of infectious, autoimmune, and malignant diseases. More recently over the last two decades, HLA class I alleles have been strongly associated with T-cell-mediated drug hypersensitivity reactions. In the case of abacavir hypersensitivity and HLA-B*57:01, the 100% negative predictive value and low number needed to test to prevent a single case has led to a durable and effective global preprescription screening strategy. However, HLA associations are still undefined for most drugs clinically associated with different delayed drug hypersensitivity phenotypes, and an HLA association relevant to one population is not generalizable across ethnicities. Furthermore, while a specific risk HLA allele is necessary for drug-induced T-cell activation, it is not sufficient. The low and incomplete positive predictive value has hindered efforts at clinical implementation for many drugs but has provided the impetus to understand the mechanisms of HLA class I restricted T-cell-mediated drug hypersensitivity reactions. Current research has focused on defining the contribution of additional elements of the adaptive immune response and other genetic and ecologic risk factors that contribute to drug hypersensitivity risk. In this review we focus on new insights into immunological, pharmacological, and genetic mechanisms underpinning HLA-associated drug reactions and the implications for future translation into clinical care.

Impact of Degree Of Human Leucocyte Antigen Mismatch on Live Donor Kidney Transplant Recipients

Background: The human leukocyte antigen (HLA) system plays a crucial role in the activation and function of the immune system. HLA mismatches may lead to activation of alloreactive T-cells and development of donor-specific HLA antibodies (DSA), thereby significantly impairing kidney graft survival. Methods: From March 1976 and August 2019, a total of 2200 kidney transplant recipients were included in the study.The patients were divided into 3 main groups according to degree of HLA mismatch.Results: acute rejection episodes were more frequent with group II and III. Chronic rejection was revealed in graft biopsies of group II and III more than group I . Incidence of post-transplant Hypertension and Diabetes mellitus was higher in group III . Median serum creatinine was higher in group III after 2, 3, 4 and 5 years post transplantation with subsequent lower creatinine clearance .The majority of patients were alive with functioning graft at last follow-up especially in group I . More patients were alive with failed graft at last follow up in group III.. On the other hand the 5, 10 and 15 years graft and patient survival showed statistical significant difference among the 3 groups with better survival for group I.Conclusions: The degree of mismatch affected the choice of immunosuppressive regimen. Higher HLA mismatch was associated with higher incidence of diabetes and hypertension and lower patient and graft survival.

Association of HLA-B Gene Polymorphisms with Type 2 Diabetes in Pashtun Ethnic Population of Khyber Pakhtunkhwa, Pakistan.

Human leukocyte antigen (HLA) system is the most polymorphic and gene dense region of human DNA that has shown many disease associations. It has been further divided into HLA classes I, II, and III. Polymorphism in HLA class II genes has been reported to play an important role in the pathogenesis of type 1 diabetes (T1D). It also showed association with T2D in different ethnic populations. However, a little is known about the relationship of HLA class I gene polymorphism and T2D. This study has evaluated the association of HLA-B (class I gene) variants with T2D in Pashtun ethnic population of Khyber Pakhtunkhwa. In the first phase of the study, whole exome sequencing (WES) of 2 pooled DNA samples was carried out, and DNA pools used were constructed from 100 diabetic cases and 100 control subjects. WES results identified a total of n = 17 SNPs in HLA-B gene. In the next phase, first 5 out of n = 17 reported SNPs were genotyped using MassARRAY® system in order to validate WES results and to confirm association of selected SNPs with T2D. Minor allele frequencies (MAFs) and selected SNPs×T2D association were determined using chi-square test and logistic regression analysis. The frequency of minor C allele was significantly higher in the T2D group as compared to control group (45.0% vs. 13.0%) (p = 0.006) for rs2308655 in HLA-B gene. No significant difference in MAF distribution between cases and controls was observed for rs1051488, rs1131500, rs1050341, and rs1131285 (p > 0.05). Binary logistic regression analyses showed significant results for SNP rs2308655 (OR = 2.233, CI (95%) = 1.223‐4.077, and p = 0.009), while no considerable association was observed for the other 4 SNPs. However, when adjusted for these variants, the association of rs2308655 further strengthened significantly (adjusted OR = 7.485, CI (95%) = 2.353‐23.812, and p = 0.001), except for rs1131500, which has no additive effect. In conclusion, the finding of this study suggests rs2308655 variant in HLA-B gene as risk variant for T2D susceptibility in Pashtun population.

HLA-associated adverse drug reactions - scoping review.

Alleles of the human leukocyte antigen (HLA) system have been associated with the occurrence of idiosyncratic adverse drug reactions (ADRs). Accordingly, it is assumed that pre‐emptive testing for the presence of certain HLA alleles (HLA‐typing) could prevent these ADRs in carriers. In order to perceive the current evidence for HLA‐associated ADRs, we conducted a scoping review according to the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA). The literature search on PubMed and on Embase was carried out on the July 8 and 9, 2020, respectively. To be included in the scoping review, the studies had to investigate an association of any HLA‐associated ADR with any small molecule approved and available on the Swiss market. We considered English and German primary literature published since 2002. A total of 149 studies were included, whereof most were retrospective, whereas one was a prospective randomized controlled trial. The majority of the studies (n = 33) described the association of HLA‐B*15:02 with carbamazepine. It was not possible to directly compare the studies, as they were too heterogeneous in terms of the ADR definition, the HLA alleles, the number of participants, and the study types. Therefore, we summarized the results in a descriptive manner. Even if an interpretation of the outcomes remains open, the descriptive overview revealed the prevailing complexity and uncertainty in the field. For the future, consistent definitions on the different phenotypes need to be established and applied and the reporting of association studies should follow a harmonized structure.

Systematic comparative study of computational methods for HLA typing from next-generation sequencing.

The human leukocyte antigen (HLA) system plays an important role in hematopoietic stem cell transplantation (HSCT) and organ transplantations, immune disorders as well as oncological immunotherapy. However, HLA typing remains a challenging task due to the high level of polymorphism and homology among HLA genes. Based on the high-throughput next-generation sequencing data, new HLA typing algorithms and software tools were developed. But there is still a deficit of systematic comparative studies to assist in the selection of the optimal analytical approaches under different conditions. Here, we present a detailed comparison of eight software tools for HLA typing on different real datasets (whole-genome sequencing, whole-exome sequencing and transcriptomic sequencing data) and in-silico samples with different sequencing lengths, depths, and error rates. We figure out the algorithms with the best efficiency in different scenarios, and demonstrate the effect of different raw reads on analytical performances. Our results provide a comprehensive picture of specifications and performances of the eight existing HLA genotyping algorithms, which could assist researchers in selecting the most appropriate tool for specific raw datasets.

Association between the HLA genotype and the severity of COVID-19 infection among South Asians.

Regional variations are found in the incidence and severity of the COVID‐19 infection. Human leukocyte antigen (HLA) polymorphism is one of the genetic factors that might have an impact on the outcome of the disease. This study explored the association between the HLA genotype and the severity of COVID‐19 among patients from South Asia. Blood samples from 95 Asians (Bangladeshis, Indians, and Pakistanis) with COVID‐19 were collected. The patients were divided according to the severity of their infection: mild (N = 64), severe (N = 31), and fatal (N = 20). DNA was extracted from all samples, and HLA genotyping was performed for both class I (A, B, and C) and class II (DRB1, DQA1, and DQB1) using the PCR‐rSSO (polymerase chain reaction–reverse sequence‐specific oligonucleotide) molecular method. The frequency of HLA‐B*51 was significantly higher among patients in the fatal group than among those in the mild infection group (15% vs. 4.7%, p = 0.027). Additionally, the frequency of HLA‐B*35 was significantly higher in the mild infection group than in the fatal group (21.1% vs. 7.5%, p = 0.050 [a borderline p‐value]). In terms of HLA class II, DRB1*13 was significantly observed in the fatal group than in the mild infection group (17.5% vs. 11.3%, p = 0.049). However, the p‐value for all alleles became insignificant after a statistical correction for the p‐values (pc = 0.216, pc = 0.4, and pc = 0.49, respectively). Compared with all published data, this study highlights that the association between the HLA system and the COVID‐19 outcome might be ethnic‐dependent. Genetic variation between populations must be examined on a wider scale to assess infection prognosis and vaccine effectiveness.

The HLA-DR4-DQ8 phenotype of the recipient is associated with increased mortality after kidney transplantation

The importance of the human leukocyte antigen (HLA) system in kidney transplantation is well-known, but it remains unexplored if patient HLA antigens constitute independent risk factors in complications after transplantation. We hypothesized that specific HLA class II phenotypes associated with immune-mediated disease (HLA-IMD) predispose to immunological activity and/or complications after kidney transplantation.Based on the literature we defined HLA-DR2-DQ6; -DR3-DQ2 and -DR4-DQ8 as HLA-IMD phenotypes. We investigated associations between HLA-IMD phenotypes in patients, biomarkers of systemic chronic inflammation at the time of transplantation, and the outcome after kidney transplantation in a retrospective cohort study of 611 kidney transplanted patients.The HLA-IMD phenotypes were associated with higher levels of biomarkers of systemic inflammation. The HLA-DR4-DQ8 phenotype was associated with mortality after transplantation in Cox analyses with adjustments for confounders.Data support the hypothesis that specific HLA class II phenotypes affects immunological pathways that determine the midterm clinical outcome of kidney transplantation.

Celiac disease screening in children and adolescents with type 1 diabetes mellitus: What test should be performed?

IntroductionChildren and adolescents with type 1 diabetes mellitus (T1DM) are at high risk for the development of celiac disease (CD) because of the common genetic characteristics of both conditions. The study objectives were to investigate the frequency of the human leukocyte antigen system (HLA) for CD in pediatric T1DM patients and to determine whether HLA testing is suitable for CD screening in that population and is cost-effective as compared to serological screening for CD. Patients and methodsA retrospective, descriptive study was conducted in 296 patients (148 girls; 148 boys) with T1DM aged <18 years who attended a Madrid hospital. Data on the frequency of genotypes DQ2/DQ8 in a subgroup of 92 patients and the additional cost of performing HLA typing for screening CD were collected. Only when the risk HLA haplotype (DQ2/DQ8) is negative no further serological screening for CD is required. ResultsTwenty-three patients with T1DM (7.77%) also had CD. Alleles DQ2 or DQ8 were found in 91.3% of patients in whom the HLA haplotype was studied. Thus, only 8.7% with a negative haplotype would have benefited from HLA testing. The additional cost of HLA typing was € 105.2 for each patient with positive DQ2 or DQ8 in our population. ConclusionsHLA typing is not a cost-effective screening method for CD in T1DM because of the frequent association of T1DM with risk genotypes for CD.

Molecular analysis of HLA Class I and Class II genes in five different South Indian linguistic groups.

South Indians are a heterogeneous population who speak different languages and differ in their life style and physical appearance. Major population movements, social structure and caste endogamy have influenced the genetic structure of Indian populations. The human leukocyte antigen (HLA) system of populations is highly informative because of the high level of polymorphisms. Knowledge of allele and haplotype frequencies of the HLA system is important in the search for unrelated bone marrow donors. We investigated the distribution of HLA A, B, C, DRB1 and DQB1 loci in five linguistic groups from South India. HLA-A*01:01:01~B*57:01:01:01~C*06:02:01~DRB1*07:01:01~DQB1*03:03:02 was the common haplotype with highest frequency in all the five populations studied. A few relevant haplotypes were identified as most common haplotypes in each linguistic group. Comparison of HLA-A, -B and -DRB1 allele distribution in these five linguistic groups with the other Asian population showed that the South Indian populations were closely related to Sri Lankan populations. A large South Indian donor registry might serve as good source of donors for patients from Sri Lanka and vice versa.

A Proteome-Wide Immunoinformatics Tool to Accelerate T-Cell Epitope Discovery and Vaccine Design in the Context of Emerging Infectious Diseases: An Ethnicity-Oriented Approach.

Emerging infectious diseases (EIDs) caused by viruses are increasing in frequency, causing a high disease burden and mortality world-wide. The COVID-19 pandemic caused by the novel SARS-like coronavirus (SARS-CoV-2) underscores the need to innovate and accelerate the development of effective vaccination strategies against EIDs. Human leukocyte antigen (HLA) molecules play a central role in the immune system by determining the peptide repertoire displayed to the T-cell compartment. Genetic polymorphisms of the HLA system thus confer a strong variability in vaccine-induced immune responses and may complicate the selection of vaccine candidates, because the distribution and frequencies of HLA alleles are highly variable among different ethnic groups. Herein, we build on the emerging paradigm of rational epitope-based vaccine design, by describing an immunoinformatics tool (Predivac-3.0) for proteome-wide T-cell epitope discovery that accounts for ethnic-level variations in immune responsiveness. Predivac-3.0 implements both CD8+ and CD4+ T-cell epitope predictions based on HLA allele frequencies retrieved from the Allele Frequency Net Database. The tool was thoroughly assessed, proving comparable performances (AUC ~0.9) against four state-of-the-art pan-specific immunoinformatics methods capable of population-level analysis (NetMHCPan-4.0, Pickpocket, PSSMHCPan and SMM), as well as a strong accuracy on proteome-wide T-cell epitope predictions for HIV-specific immune responses in the Japanese population. The utility of the method was investigated for the COVID-19 pandemic, by performing in silico T-cell epitope mapping of the SARS-CoV-2 spike glycoprotein according to the ethnic context of the countries where the ChAdOx1 vaccine is currently initiating phase III clinical trials. Potentially immunodominant CD8+ and CD4+ T-cell epitopes and population coverages were predicted for each population (the Epitope Discovery mode), along with optimized sets of broadly recognized (promiscuous) T-cell epitopes maximizing coverage in the target populations (the Epitope Optimization mode). Population-specific epitope-rich regions (T-cell epitope clusters) were further predicted in protein antigens based on combined criteria of epitope density and population coverage. Overall, we conclude that Predivac-3.0 holds potential to contribute in the understanding of ethnic-level variations of vaccine-induced immune responsiveness and to guide the development of epitope-based next-generation vaccines against emerging pathogens, whose geographic distributions and populations in need of vaccinations are often well-defined for regional epidemics.