Association between human leukocyte antigen class I and II alleles and hepatitis C virus infection in high-risk hemodialysis patients awaiting kidney transplantation

Accurate prediction of HLA class II antigen presentation across all loci using tailored data acquisition and refined machine learning

Accurate prediction of antigen presentation by human leukocyte antigen (HLA) class II molecules is crucial for rational development of immunotherapies and vaccines targeting CD4+ T cell activation. So far, most prediction methods for HLA class II antigen presentation have focused on HLA-DR because of limited availability of immunopeptidomics data for HLA-DQ and HLA-DP while not taking into account alternative peptide binding modes. We present an update to the NetMHCIIpan prediction method, which closes the performance gap between all three HLA class II loci. We accomplish this by first integrating large immunopeptidomics datasets describing the HLA class II specificity space across all loci using a refined machine learning framework that accommodates inverted peptide binders. Next, we apply targeted immunopeptidomics assays to generate data that covers additional HLA-DP specificities. The final method, NetMHCIIpan-4.3, achieves high accuracy and molecular coverage across all HLA class II allotypes.

Impact of HLA polymorphisms on the susceptibility to SARS-CoV-2 infection and related mortality in patients with renal replacement therapy

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection could present in a clinical spectrum of varying severity. Human leukocyte antigen (HLA) is a crucial component of the viral antigen presentation pathway and immune response to the virus. Therefore, we aimed to assess the impact of HLA allele polymorphisms on the susceptibility to SARS-CoV-2 infection and related mortality in Turkish kidney transplant recipients and wait listed patients, along with clinical characteristics of the patients. We analysed data from 401 patients with clinical characteristics according to presence (n = 114, COVID+) or absence of SARS-CoV-2 infection (n = 287, COVID-) who had previously been HLA typed to support transplantation. The incidence of coronavirus disease-19 (COVID-19) was 28 %, and the mortality rate was 19 % in our wait listed/ transplanted patients. Multivariate logistic regression analysis showed that a significant HLA association between HLA- B*49 (OR = 2.57, 95 % CI, 1.13-5.82; p = 0.02) and HLA- DRB1*14 (OR = 2.48, 95 % CI, 1.18-5.20; p = 0.01) with SARS-CoV-2 infection. Besides, in COVID + patients, HLA-C*03 was correlated to mortality (OR = 8.31, 95 % CI, 1.26-54.82; P = 0.03). The new finding from our analysis suggests that HLA polymorphisms could be associated with the occurrence of SARS-CoV-2 infection and COVID-19 mortality in Turkish patients with renal replacement therapy. This study may provide new information for the clinician to identify and manage sub-populations at risk in the setting of the current COVID-19 pandemic.

Reexamination of the relationship between the prevalence of hepatitis C virus and parenteral antischistosomal therapy among Egyptians resident in Qatar

Egypt has the highest prevalence of recorded hepatitis C virus (HCV) worldwide, estimated nationally at 14.7%, which is attributed to extensive iatrogenic transmission during the era of parenteral antischistosomal therapy (PAT) mass-treatment campaigns. The objective of our study was to attempt to highlight to what extent HCV transmission is ongoing and discuss the possible risk factors. We studied the prevalence of HCV among 7.8% of Egyptians resident in Qatar in relation to age, socioeconomic status, and PAT and discuss the possible risk factors. HCV testing was conducted in 2,335 participants, and results were positive for 13.5%, and 8.5% for those aged below 35 years. The prevalence of HCV in the PAT-positive population was 23.7% (123 of 518, 95% confidence interval [CI] 20.2%–27.6%) compared with 11.2% in the PAT-negative group. Significantly higher HCV prevalence occurred in participants who were older than 50 years (23%, 95% CI 19.3%–27.1%) compared to those aged 45–50 years (19.3%, 95% CI 15.2%–23.8%), 35–45 years (11.1%, 95% CI 8.9%–13.7%), and less than 35 years (8.5%, 95% CI 6.8%–10.4%) (P<0.0001). Insignificant higher prevalence occurred in the low socioeconomic group (14.2%, 95% CI 11.3%–17.4%). Logistic regression analysis revealed that increasing age, history of PAT, bilharziasis, and praziquantel were common risk factors, but there was no relation with dental care. Host genetic predisposition seems to be a plausible underlying factor for susceptibility among Egyptians and intense ongoing infection.