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Mia MM, Hasan M, Ahmed S, Rahman MN. Insight into the first multi-epitope-based peptide subunit vaccine against avian influenza A virus (H5N6): An immunoinformatics approach. INFECTION, GENETICS AND EVOLUTION 2022; 104:105355. [PMID: 36007760 PMCID: PMC9394107 DOI: 10.1016/j.meegid.2022.105355] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 05/22/2022] [Accepted: 08/18/2022] [Indexed: 11/26/2022]
Abstract
The rampant spread of highly pathogenic avian influenza A (H5N6) virus has drawn additional concerns along with ongoing Covid-19 pandemic. Due to its migration-related diffusion, the situation is deteriorating. Without an existing effective therapy and vaccines, it will be baffling to take control measures. In this regard, we propose a revers vaccinology approach for prediction and design of a multi-epitope peptide based vaccine. The induction of humoral and cell-mediated immunity seems to be the paramount concern for a peptide vaccine candidate; thus, antigenic B and T cell epitopes were screened from the surface, membrane and envelope proteins of the avian influenza A (H5N6) virus, and passed through several immunological filters to determine the best possible one. Following that, the selected antigenic with immunogenic epitopes and adjuvant were linked to finalize the multi-epitope-based peptide vaccine by appropriate linkers. For the prediction of an effective binding, molecular docking was carried out between the vaccine and immunological receptors (TLR8). Strong binding affinity and good docking scores clarified the stringency of the vaccines. Furthermore, molecular dynamics simulation was performed within the highest binding affinity complex to observe the stability, and minimize the designed vaccine's high mobility region to order to increase its stability. Then, Codon optimization and other physicochemical properties were performed to reveal that the vaccine would be suitable for a higher expression at cloning level and satisfactory thermostability condition. In conclusion, predicting the overall in silico assessment, we anticipated that our designed vaccine would be a plausible prevention against avian influenza A (H5N6) virus.
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Affiliation(s)
- Md Mukthar Mia
- Department of Poultry Science, Faculty of Veterinary, Animal and Biomedical Sciences, Sylhet Agricultural University, Sylhet 3100, Bangladesh; Faculty of Veterinary, Animal and Biomedical Sciences, Sylhet Agricultural University, Sylhet 3100, Bangladesh
| | - Mahamudul Hasan
- Faculty of Veterinary, Animal and Biomedical Sciences, Sylhet Agricultural University, Sylhet 3100, Bangladesh.
| | - Shakil Ahmed
- Faculty of Veterinary, Animal and Biomedical Sciences, Sylhet Agricultural University, Sylhet 3100, Bangladesh
| | - Mohammad Nahian Rahman
- Faculty of Veterinary, Animal and Biomedical Sciences, Sylhet Agricultural University, Sylhet 3100, Bangladesh
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Yu JL, Hou S, Feng YT, Bu G, Chen QQ, Meng ZQ, Ding ZT, Guo LZ, Zhou X, Wang M, Huang XE, Li WW, He L, Gong L, Sun Y, Xu Z, Pan HF, He J, Wu JB. Emergence of a young case infected with avian influenza A (H5N6) in Anhui Province, East China during the COVID-19 pandemic. J Med Virol 2021; 93:5998-6007. [PMID: 34232513 PMCID: PMC8426836 DOI: 10.1002/jmv.27179] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 07/02/2021] [Indexed: 12/14/2022]
Abstract
In the context of the coronavirus disease 2019 pandemic, we investigated the epidemiological and clinical characteristics of a young patient infected by avian influenza A (H5N6) virus in Anhui Province, East China, and analyzed genomic features of the pathogen in 2020. Through the cross‐sectional investigation of external environment monitoring (December 29–31, 2020), 1909 samples were collected from Fuyang City. It was found that the positive rate of H5N6 was higher than other areas obviously in Tianma poultry market, where the case appeared. In addition, dual coinfections were detected with a 0.057% polymerase chain reaction positive rate the surveillance years. The virus was the clade 2.3.4.4, which was most likely formed by genetic reassortment between H5N6 and H9N2 viruses. This study found that the evolution rates of the hemagglutinin and neuraminidase genes of the virus were higher than those of common seasonal influenza viruses. The virus was still highly pathogenic to poultry and had a preference for avian receptor binding. Various avian influenza virus (AIV) subtypes naturally have caused zoonotic infections, but the subtypes H5N1 and H7N9 have caused a prominent impact. At present, the outbreak of novel coronavirus pneumonia (coronavirus disease 2019 [COVID‐19]) has caused a worldwide pandemic. To our knowledge, this is the youngest child infected with H5N6 subtype avian influenza in Anhui Province. Herein, we analyzed the epidemiology of the case and the characteristics of the pathogen genome, to find out the possible evolution of the virus.
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Affiliation(s)
- Jun-Ling Yu
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Sai Hou
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Ya-Ting Feng
- Department of Epidemiolgy and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory, Anhui Medical University, Hefei, Anhui, China
| | - Ge Bu
- Microbiological Laboratory, Fuyang City Center for Disease Control and Prevention, Fuyang, Anhui, China
| | - Qing-Qing Chen
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Zhao-Qian Meng
- Microbiological Laboratory, Fuyang City Center for Disease Control and Prevention, Fuyang, Anhui, China
| | - Zhen-Tao Ding
- Microbiological Laboratory, Fuyang City Center for Disease Control and Prevention, Fuyang, Anhui, China
| | - Liang-Zi Guo
- Microbiological Laboratory, Fuyang City Center for Disease Control and Prevention, Fuyang, Anhui, China
| | - Xue Zhou
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Meng Wang
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Xin-Er Huang
- Department of Epidemiolgy and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory, Anhui Medical University, Hefei, Anhui, China
| | - Wei-Wei Li
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Lan He
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Lei Gong
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Yong Sun
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Zhiwei Xu
- School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Hai-Feng Pan
- Department of Epidemiolgy and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory, Anhui Medical University, Hefei, Anhui, China
| | - Jun He
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Jia-Bing Wu
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
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