The global epidemic trend analysis of influenza type B drug resistance sites from 2006 to 2018

Authors

  • He Li Zhongkai University of Agriculture and Engineering, College of Agriculture and Biology, Guangzhou, China
  • Wei Dong Pediatric Department, Shanghai Nanxiang Hospital, Jiading District, Shanghai, China https://orcid.org/0000-0002-8775-3202
  • Jing Wang The Center for Microbes, Development and Health, Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China https://orcid.org/0000-0003-4680-1236
  • Die Yu CAS Key Laboratory of Molecular Virology & Immunology, Institutional Center for Shared Technologies and Facilities, Pathogen Discovery and Big Data Center, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China
  • Dan Qian Pediatric Department, Shanghai Nanxiang Hospital, Jiading District, Shanghai, China https://orcid.org/0000-0003-4987-4676
  • Lihuan Yue CAS Key Laboratory of Molecular Virology & Immunology, Institutional Center for Shared Technologies and Facilities, Pathogen Discovery and Big Data Center, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China https://orcid.org/0000-0003-2761-0311
  • Yaming Jiu The Center for Microbes, Development and Health, Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China
  • Yihong Hu CAS Key Laboratory of Molecular Virology & Immunology, Institutional Center for Shared Technologies and Facilities, Pathogen Discovery and Big Data Center, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China https://orcid.org/0000-0001-8539-0885

DOI:

https://doi.org/10.3855/jidc.17410

Keywords:

drug resistance mutation, influenza B virus, phylogenetic tree

Abstract

Introduction: Influenza is a severe respiratory viral infection that causes significant morbidity and mortality, due to annual epidemics and unpredictable pandemics. With the extensive use of neuraminidase inhibitor (NAI) drugs, the influenza B virus has carried different drug-resistant mutations. Thus, this study aimed to analyze the prevalence of drug-resistant mutations of the influenza B virus.

Methodology: Near full-length sequences of the neuraminidase (NA) region of all influenza B viruses from January 1, 2006, to December 31, 2018, were downloaded from public databases GISAID and NCBI. Multiple sequence alignments were performed using Clustal Omega 1.2.4 software. Subsequently, phylogenetic trees were constructed by FastTree 2.1.11 and clustered by ClusterPickergui_1.2.3.JAR. Then, the major drug resistance sites and surrounding auxiliary sites were analyzed by Mega-X and Weblogo tools.

Results: Among the amino acid sequences of NA from 2006 to 2018, only Clust04 in 2018 carried a D197N mutation of the NA active site, while other drug resistance sites were conserved without mutation. According to the Weblogo analysis, a large number of N198, S295, K373, and K375 mutations were found in the amino acid residues at the auxiliary sites surrounding D197, N294, and R374.

Conclusions: We found the D197N mutation in Clust04 of the 2018 influenza B virus, with a large number of N198, S295, K373, and K375 mutations in the helper sites around N197, N294, and R374 from 2006 to 2018. NA inhibitors are currently the only kind of specific antiviral agent for the influenza B virus, although these mutations cause mild NAIs resistance.

Author Biography

Yihong Hu, CAS Key Laboratory of Molecular Virology & Immunology, Institutional Center for Shared Technologies and Facilities, Pathogen Discovery and Big Data Center, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China

Associate Professor

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Published

2023-06-30

How to Cite

1.
Li H, Dong W, Wang J, Yu D, Qian D, Yue L, Jiu Y, Hu Y (2023) The global epidemic trend analysis of influenza type B drug resistance sites from 2006 to 2018. J Infect Dev Ctries 17:868–873. doi: 10.3855/jidc.17410

Issue

Vol. 17 No. 06: June 2023

Section

Original Articles

License

Copyright (c) 2023 He Li, Wei Dong, Jing Wang, Die Yu, Dan Qian, Lihuan Yue, Yaming Jiu, Yihong Hu

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