Journal of Medical Virology最新文献

The association between human papillomavirus (HPV) and other sexually transmitted infections (STIs) in anal lesions still remains unclear. Aim of the study was to evaluate the prevalence of simultaneous infection of HPV and Chlamydia trachomatis, Neisseria gonorrhoeae, Mycoplasma genitalium, and Trichomonas vaginalis in individuals screened for HPV anal infection. A total of 507 anal samples were tested for both anal HPV and STIs: 16% resulted positive for one or more non-HPV STIs. Specifically, C. trachomatis, M. genitalium, and N. gonorrhoeae were detected in 8%, 5%, and 4% of cases, respectively. Two groups were considered, including a positive STI group and a negative STI group. The prevalence of HPV was similar in patients in both groups: high risk (HR)-HPV and low risk (LR)-HPV were 67% and 53% versus 62% (p = 0.361) and 54% (p = 0.864) of patients, respectively. However, HPV 16, 18, 35, 51, 59, and 69 were significantly more frequent in patients tested positive for other STIs versus HPV infection alone (p < 0.05). No significant differences between the two groups were observed in vaccination coverage, 28% versus 32% (p = 0.463), and HIV status, 86% versus 84% (p = 0.658). The study shows that the overall HPV status is not directly correlated to other STIs in the investigated population, except for certain HPV types, including HR-HPV 16, reinforcing the urge for a greater vaccination coverage.

Antigen presentation by HLA class II molecules to CD4⁺ T cells is an essential step for generating antibodies to hepatitis B antigens. In this study, we investigated the association between the HLA-DRB1 gene and the status of antibodies to hepatitis B surface and e antigens. Our results revealed a significant association between the status of anti-HBsAg and HLA-DRB1*04:03 (OR = 4.11, 95% CI = 1.50–10.84, p = 0.005, P_adj. = 0.05) as well as HLA-DRB1*15:01 (OR = 1.74, 95% CI = 1.20–2.50, p = 0.002, P_adj. = 0.045). MHC II binding predictions and in silico docking demonstrated strong binding affinity of HBsAg peptides to these two HLA-DRB1 molecules. Conversely, the status of anti-HBeAg was inversely associated with HLA-DRB1*14:54 (OR = 0.34, 95% CI = 0.18–0.64, p = 0.001, P_adj. = 0.011), and in silico analysis revealed weak binding affinity of HBeAg peptides to HLA-DRB1*14:54. In conclusion, these findings support the involvement of HLA-DRB1 in humoral immunity against HBV infection.

Emerging evidence shows increased humoral response post-omicron surge, but research on T cell responses is limited. This study investigated the durability, magnitude, and breadth of SARS-CoV-2-spike-specific T cell responses in 216 two-dose vaccinated individuals pre- and post-omicron surge. Post-surge samples showed enhanced T cell responses, indicating widespread asymptomatic exposure to omicron. Further analysis of 105 individuals with multiple exposures to SARS-CoV-2 through boosters or infections showed that post-omicron, two-dose vaccinated individuals had T cell responses comparable to those of COVID-19 convalescents or boosted individuals. Additionally, we report cross-reactive T cell responses against omicron sub-variants, including BA2.86, remained strong, with preserved frequencies of spike-specific stem-cell-like memory T cells. In silico prediction indicates that mutated epitopes of JN.1 and KP.2 retain over 95.6% of their HLA binding capability. Overall, our data suggests that T cell responses are sustained, enhanced, and cross-reactive against emerging SARS-CoV-2 variants following symptomatic or asymptomatic omicron infection.

Interferon regulatory factor 5 (IRF5) is a key transcription factor in inflammatory and immune responses, with its dysregulation linked to autoimmune diseases. Using bioinformatic approaches, including Basic Local Alignment Search Tool (BLAST) for sequence similarity searches, BLAST-Like Alignment Tool (BLAT) for genome-wide alignments, and several phylogenetics software, such as Multiple Alignment using Fast Fourier Transform (MAFFT), for phylogenetic analyses, we characterized the structure, origin, and evolutionary history of the human IRF5 pseudogene 1 (IRF5P1). Our analyses reveal that IRF5P1 is a chimeric processed pseudogene containing sequences derived from multiple sources, including IRF5-like sequences from disparate organisms. We find that IRF5P1 is specific to higher primates, likely originating through an ancient retroviral integration event approximately 60 million years ago. Interestingly, IRF5P1 resides within the triple QxxK/R motif-containing (TRIQK) gene, and its antisense strand is predominantly expressed as part of the TRIQK pre-messenger RNA (mRNA). Analysis of publicly available RNA-seq data suggests potential expression of antisense IRF5P1 RNA. We hypothesize that this antisense RNA may regulate IRF5 expression through complementary binding to IRF5 mRNA, with human genetic variants potentially modulating this interaction. The conservation of IRF5P1 in the primate lineage suggests its positive effects on primate evolution and innate immunity. This study highlights the importance of investigating pseudogenes and their potential regulatory roles in shaping lineage-specific immune adaptations.

Epstein–Barr virus (EBV) is a highly successful pathogen that infects ~95% of the adult population and is associated with diverse cancers and autoimmune diseases. The most abundant viral factor in latently infected cells is not a protein but a noncoding RNA called EBV-encoded RNA 1 (EBER1). Even though EBER1 is highly abundant and was discovered over forty years ago, the function of EBER1 has remained elusive. EBER1 interacts with the ribosomal protein L22, which normally suppresses the expression of its paralog L22-like 1 (L22L1). Here we show that when L22 binds EBER1, it cannot suppress L22L1, resulting in L22L1 being expressed and incorporated into ribosomes. We further show that L22L1-containing ribosomes preferentially translate mRNAs involved in the oxidative phosphorylation pathway. Moreover, upregulation of L22L1 is indispensable for growth transformation and immortalization of resting B cells upon EBV infection. Taken together, our results suggest that the function of EBER1 is to modulate host gene expression at the translational level, thus bypassing the need for dysregulating host gene transcription.

This study aimed to establish a novel noninvasive model based on the serum N-glycan spectrum for providing an objective value for determining the stage of liver necroinflammation related to chronic hepatitis B (CHB) patients. N-glycan profiles of the sera of 295 treatment-naïve CHB patients were analyzed. N-glycan profiles were tested for different liver necroinflammation stages using DNA sequence-assisted fluorophore-assisted carbohydrate electrophoresis. A serum N-glycan model named N-glycan-LI (NGLI) using support vector machine was selected to evaluate the classification of liver necroinflammation (G < 2 and G ≥ 2). The area under the receiver operating characteristic curves (AUROCs) was 0.898 (training set, n = 236) and 0.911 (validation set, n = 59) regardless of the stage of liver fibrosis (AUROC = 0.886 and 0.926, respectively, in S < 2 and S ≥ 2 group). The NGLI correspondingly had the highest specificity (SP) of 90.79% and negative predictive value of 92.00% in an inactive stage (including immune-tolerant [IT] and inactive-carrier [IC] stage), had the highest positive predictive value of 95.18% in stage immune-active, and had the highest SP of 93.94% in grey zone IT + IC. N-glycan profiles appear to correlate well with hepatic necroinflammation in CHB when compared with liver biopsy. The newly developed model appears to reliably predict liver damage in naïve-treatment patients with CHB.

Dengue shock syndrome (DSS) substantially worsens the prognosis of children with dengue infection. This study aimed to develop a simple clinical tool to predict the risk of DSS. A cohort of 2221 Thai children with a confirmed dengue infection who were admitted to King Chulalongkorn Memorial Hospital between 1987 and 2007 was conducted. Another data set from a previous publication comprising 2,301 Vietnamese children with dengue infection was employed to create a pooled data set, which was randomly split into training (n = 3182), testing (n = 697) and validating (n = 643) datasets. Logistic regression was compared to alternative machine learning algorithms to derive the most predictive model for DSS. 4522 children, including 899 DSS cases (758 Thai and 143 Vietnamese children) with a mean age of 9.8 ± 3.4 years, were analyzed. Among the 12 candidate clinical parameters, the Bayesian Model Averaging algorithm retained the most predictive subset of five covariates, including body weight, history of vomiting, liver size, hematocrit levels, and platelet counts. At an Area Under the Curve (AUC) value of 0.85 (95% CI: 0.81–0.90) in testing data set, logistic regression outperformed random forest, XGBoost and support vector machine algorithms, with AUC values being 0.82 (0.77–0.88), 0.82 (0.76–0.88), and 0.848 (0.81–0.89), respectively. At its optimal threshold, this model had a sensitivity of 0.71 (0.62–0.80), a specificity of 0.84 (0.81–0.88), and an accuracy of 0.82 (0.78–0.85) on validating data set with consistent performance across subgroup analyses by age and gender. A logistic regression-based nomogram was developed to facilitate the application of this model. This work introduces a simple and robust clinical model for DSS prediction that is well-tailored for children in resource-limited settings.

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron subvariants raises concerns regarding the effectiveness of immunity acquired from previous Omicron subvariants breakthrough infections (BTIs) or reinfections (RIs) against the current circulating Omicron subvariants. In this study, we prospectively investigate the dynamic changes of virus-specific antibody and T cell responses among 77 adolescents following Omicron BA.2.3 BTI with or without subsequent Omicron BA.5 RI. Notably, the neutralizing antibodies (NAbs) titers against various detected SARS-CoV-2 variants, especially the emerging Omicron CH.1.1, XBB.1.5, XBB.1.16, EG.5.1, and JN.1 subvariants, exhibited a significant decrease along the time. A lower level of IgG and NAbs titers post-BTI was found to be closely associated with subsequent RI. Elevated NAbs levels and shortened antigenic distances were observed following Omicron BA.5 RI. Robust T cell responses against both Omicron BA.2- and CH.1.1-spike peptides were observed at each point visited. The exposure to Omicron BA.5 promoted phenotypic differentiation of virus-specific memory T cells, even among the non-seroconversion adolescents. Therefore, updated vaccines are needed to provide effective protection against newly emerging SARS-CoV-2 variants among adolescents.