Genetic Characterization of the H Gene of MeV Strains (H1, B3, and D4) Recently Circulated in Iran for Improving the Molecular Measles Surveillance in the National Measles Lab.

Background: Despite decreasing the global burden of measles disease after the introduction of vaccination, measles remains one of the most devastating childhood diseases. Since genotype B3 is reported as a predominant Measles Virus (MeV) genotype recently, the current study aimed to better understand MeV genetic variation by analyzing the complete sequence of Hemagglutinin (H) gene associated with outbreaks of circulated genotypes in Iran. Methods: Nine positive measles specimens were selected from three circulated different genotypes H1, B3, and D4. Two different regions of MeV RNA were detected by RT-PCR assay. Sequence data and phylogenetic trees were analyzed and constructed by MEGA X software program. Moreover, missense and silent mutations in critical positions of the MeV-H protein were investigated. Results: The result of phylogenetic analysis from the C-terminus of the Nucleoprotein gene (NP-450) and the complete H gene revealed that the mean sequence diversity was 0.06%-0.08% and 0.04%, respectively. Genotype H1 had the highest mutation in this study; however, the substitutions in genotype B3 fundamentally occurred in critical epitopes. Moreover, genotype D4 was more stable than genotypes B3 and H1. Conclusion: Mutations were investigated in the whole sequence of H protein. Moreover, the mutations that occur in the critical sites of the protein have an important effect on the pathogenicity of the virus. In this way, we were able to illustrate why genotype B3 is more transmissible than other measles genotypes and is the most important circulating genotype around the world.

The possible role of viral infections in acute pancreatitis: a review of literature.

Acute pancreatitis, a potentially fatal disease, with symptoms including nausea and/or vomiting, indigestion, and abdominal pain, is known to range from a mild self-limiting state up to a more severe and lethal form. This review aims to provide a clearer picture to improve understanding the role of viral agents in the development of acute pancreatitis. Common databases including PubMed, Google Scholar, and Scopus were used for the literature search. In this review search terms including virus, viral, infection, and specific descriptive terms for a virus were considered in different combinations. Various causative agents are recognized in the development of acute pancreatitis as one of the most frequent gastrointestinal diseases, such as gallstones, alcoholism, and hypertriglyceridemia. Microbial pathogens with about 10% of acute pancreatitis cases, mainly viruses, among other factors, are thought to play a role in this regard. Once the pancreatitis diagnosis has been made, depending on the causative agent, the management approach and specific interventions affect the final outcome. Virus-induced acute pancreatitis in patients should be considered. Advanced diagnostic tests such as PCR, in situ hybridization, and biopsy can help for a better understanding of the role of viruses in causing acute pancreatitis. Improvement in the tests will lead to timely diagnosis, treatment, and better management of pancreatitis.

Quantitative analysis of Epstein-Barr virus DNA in plasma and stomach biopsies of patients with gastric cancer.

Epstein-Barr virus (EBV) associated gastric carcinoma (EBVaGC) is a subtype of gastric cancer with distinct histological and molecular features. The study aimed to assess the EBV DNA copy number and the prevalence of EBVaGC in gastric cancer samples taken from Iranian patients. The next aim was to assess whether the DNA and microRNAs EBV are present in plasma. EBV load was analyzed in 68 gastric cancer biopsies and compared with the results of EBV-encoded small RNA in situ hybridization (EBER-ISH) test in these patients. After the detection of 6 EBV miRNAs in gastric tissue by stem-loop RT-PCR, plasma samples were evaluated for the viral load and EBV miRNAs. Four gastric cancer cases were EBER -ISH positive (5.8%), with a significantly higher viral load than the remaining cases, 47,781 vs. 1909 copies/µg of tissue DNA. Here, was also found a significant difference in plasma EBV load between EBER-positive and EBER-negative cases. Although EBV miRNAs were detectable in all the EBER-positive tumors, the test did not detect any of these miRNAs among the plasma samples tested. Our data indicate that the prevalence of EBVaGC among Iranian patients with gastric cancer is lower than the global prevalence and although none of the EBV miRNAs were detected in plasma, evaluation of EBV microRNAs in tumor tissue, especially miR-BART7-3p, may constitute useful biomarkers for diagnosis of EBVaGC.

In Silico Analysis of Neutralizing Antibody Epitopes on The Hepatitis C Virus Surface Glycoproteins.

OBJECTIVE: Despite of antiviral drugs and successful treatment, an effective vaccine against hepatitis C virus (HCV) infection is still required. Recently, bioinformatic methods same as prediction algorithms, have greatly contributed to the use of peptides in the design of immunogenic vaccines. Therefore, finding more conserved sites on the surface glycoproteins (E1 and E2) of HCV, as major targets to design an effective vaccine against genetically different viruses in each genotype was the goal of the study. MATERIALS AND METHODS: In this experimental study, 100 entire sequences of E1 and E2 were retrieved from the NCBI website and analyzed in terms of mutations and critical sites by Bioedit 7.7.9, MEGA X software. Furthermore, HCV-1a samples were obtained from some infected people in Iran, and reverse transcriptase-polymerase chain reaction (RTPCR) assay was optimized to amplify their E1 and E2 genes. Moreover, all three-dimensional structures of E1 and E2 downloaded from the PDB database were analyzed by YASARA. In the next step, three interest areas of humoral immunity in the E2 glycoprotein were evaluated. OSPREY3.0 protein design software was performed to increase the affinity to neutralizing antibodies in these areas. RESULTS: We found the effective in silico binding affinity of residues in three broadly neutralizing epitopes of E2 glycoprotein. First, positions that have substitution capacity were detected in these epitopes. Furthermore, residues that have high stability for substitution in these situations were indicated. Then, the mutants with the strongest affinity to neutralize antibodies were predicted. I414M, T416S, I422V, I414M-T416S, and Q412N-I414M-T416S substitutions theoretically were exhibited as mutants with the best affinity binding. CONCLUSION: Using an innovative filtration strategy, the residues of E2 epitopes which have the best in silico binding affinity to neutralizing antibodies were exhibited and a distinct peptide library platform was designed.