Prediction of promiscuous T cell epitopes in RNA dependent RNA polymerase of Chikungunya virus

Objective To explore RNA dependent RNA polymerase of Chikungunya virus (CHIKV) and develop T cell based epitopes with high antigenicity and good binding affinity for the human leukocyte antigen (HLA) classes as targets for epitopes based CHIKV vaccine. Methods In this study we downloaded 371 non-structural protein 4 protein sequences of CHIKV belonging to different regions of the world from the US National Institute of Allergy and Infectious Diseases (NIAID) virus pathogen resource database. All the sequences were aligned by using CLUSTALW software and a consensus sequence was developed by using Uni Pro U Gene Software version 1.2.1. Propred I and Propred software were used to predict HLA I and HLA II binding promiscuous epitopes from the consensus sequence of non-structural protein 4 protein. The predicted epitopes were analyzed to determine their antigenicity through Vaxijen server version 2.0. All the HLA I binding epitopes were scanned to determine their immunogenic potential through the Immune Epitope Database (IEDB). All the predicted epitopes of our study were fed to IEDB database to determine whether they had been tested earlier. Results Twenty two HLA class II epitopes and eight HLA class I epitopes were predicted. The promiscuous epitopes WMNMEVKII at position 486–494 and VRRLNAVLL at 331–339 were found to bind with 37 and 36 of the 51 HLA class II alleles respectively. Epitope MANRSRYQS at position 58–66 and epitopes YQSRKVENM at positions 64–72 were predicted to bind with 12 and 9 HLA II alleles with antigenicity scores of 0.754 9 and 1.013 0 respectively. Epitope YSPPINVRL was predicted to bind 18 HLA I alleles and its antigenicity score was 1.425 9 and immunogenicity score was 0.173 83. This epitope is very useful in the preparation of a universal vaccine against CHIKV infection. Conclusions Epitopes reported in this study showed promiscuity, antigenicity as well as good binding affinity for the HLA classes. These epitopes will provide the baseline for development of efficacious vaccine for CHIKV.

Prediction of promiscuous T cell epitopes in RNA dependent RNA polymerase of Chikungunya virus

OBJECTIVE@#To explore RNA dependent RNA polymerase of Chikungunya virus (CHIKV) and develop T cell based epitopes with high antigenicity and good binding affinity for the human leukocyte antigen (HLA) classes as targets for epitopes based CHIKV vaccine.@*METHODS@#In this study we downloaded 371 non-structural protein 4 protein sequences of CHIKV belonging to different regions of the world from the US National Institute of Allergy and Infectious Diseases (NIAID) virus pathogen resource database. All the sequences were aligned by using CLUSTALW software and a consensus sequence was developed by using Uni Pro U Gene Software version 1.2.1. Propred I and Propred software were used to predict HLA I and HLA II binding promiscuous epitopes from the consensus sequence of non-structural protein 4 protein. The predicted epitopes were analyzed to determine their antigenicity through Vaxijen server version 2.0. All the HLA I binding epitopes were scanned to determine their immunogenic potential through the Immune Epitope Database (IEDB). All the predicted epitopes of our study were fed to IEDB database to determine whether they had been tested earlier.@*RESULTS@#Twenty two HLA class II epitopes and eight HLA class I epitopes were predicted. The promiscuous epitopes WMNMEVKII at position 486-494 and VRRLNAVLL at 331-339 were found to bind with 37 and 36 of the 51 HLA class II alleles respectively. Epitope MANRSRYQS at position 58-66 and epitopes YQSRKVENM at positions 64-72 were predicted to bind with 12 and 9 HLA II alleles with antigenicity scores of 0.754 9 and 1.013 0 respectively. Epitope YSPPINVRL was predicted to bind 18 HLA I alleles and its antigenicity score was 1.425 9 and immunogenicity score was 0.173 83. This epitope is very useful in the preparation of a universal vaccine against CHIKV infection.@*CONCLUSIONS@#Epitopes reported in this study showed promiscuity, antigenicity as well as good binding affinity for the HLA classes. These epitopes will provide the baseline for development of efficacious vaccine for CHIKV.

Predictors of response to antiviral therapy in patients with chronic hepatitis C from Pakistani population / 中华医学杂志(英文版)

<p><b>BACKGROUND</b>Hepatitis C virus (HCV) constitutes a major public health issue around the world, especially in developing countries like Pakistan. In this study, we assessed outcome of interferon (INF) treatment in chronic hepatitis C patients categorized by gender, age, and viral load.</p><p><b>METHODS</b>In this study, 750 HCV positive patients with genotype 3 were selected, out of which 616 completed the entire treatment. Their personal history, pre-treatment HCV RNA and serum alanine transaminase (ALT) was quantified. Patients were treated with combination therapy of INF-α 2b three million units (thrice a week) plus ribavirin (1000 - 1200 mg per day) for 24 weeks. After 24 weeks their HCV RNA and serum ALT level was quantified.</p><p><b>RESULTS</b>Out of the 616 patients, 391 (63.5%) responded to therapeutic regimen (INF-α 2b plus ribavirin). Among the responders, 27.1% were men and 36.4% were women. Best treatment response was observed in patients having low viral load < 8 × 10(5) IU/ml and age ≤ 40 years than patients having low viral load and age > 40 years (73.2% vs. 60.3%, P = 0.05).</p><p><b>CONCLUSIONS</b>Better response to IFN-α 2b plus ribavirin was observed in patients with lower viral RNA and younger age. It suggests that all patients considered for treatment should have quantification of serum HCV RNA level. The result can be used to counsel patients on the likelihood of response and may influence the patient's decision on treatment.</p>