Deep mutational scanning of influenza A virus neuraminidase facilitates the identification of drug resistance mutations in vivo

Author:

Wang Sihan12,Zhang Tian-hao3,Hu Menglong1,Tang Kejun4,Sheng Li56,Hong Mengying1,Chen Dongdong7,Chen Liubo8,Shi Yuan5,Feng Jun5,Qian Jing9,Sun Lifeng10,Ding Kefeng10,Sun Ren1511ORCID,Du Yushen1ORCID

Affiliation:

1. Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, Zhejiang, China

2. Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine , Hangzhou, China

3. Molecular Biology Institute, University of California , Los Angeles, California, USA

4. Department of Surgery, Women’s Hospital, School of Medicine, Zhejiang University , Hangzhou, China

5. Department of Molecular and Medical Pharmacology, University of California , Los Angeles, California, USA

6. School of Biomedical Sciences, LKS Faculty of Medicine, The Hong Kong University , Hong Kong, China

7. Department of Ultrasound in Medicine, The Second Affiliated Hospital of Zhejiang University School of Medicine , Hangzhou, China

8. Department of Medical Oncology, The Second Affiliated Hospital of Zhejiang University, School of Medicine , Hangzhou, China

9. Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University , Hangzhou, China

10. Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, Zhejiang, China

11. Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine , Hangzhou, Zhejiang, China

Abstract

ABSTRACT Neuraminidase (NA) is a pivotal surface enzyme and a key therapeutic target in combating the influenza A virus. Its evolution can lead to potential zoonotic transmission, seasonal epidemics, and the emergence of drug-resistant mutants. To gain comprehensive insights into the mutational effects and drug resistance profiles of NA, we employed a high-throughput profiling system to quantify the replication capacity of NA mutants at the single-nucleotide level in mouse lung tissues. The fitness of NA mutants is generally correlated with natural mutation occurrence and is constrained by both the requirement to maintain protein stability and NA function. Leveraging this system, we profiled the drug resistance to the three most commonly used neuraminidase inhibitors (NAIs): zanamivir, oseltamivir, and peramivir. In addition to identifying previously reported drug resistance mutations, we validated novel mutants. Notably, we identified an allosteric mutation that confers resistance to all three drugs, which may affect drug binding by interfering with the tetramerization of NA. Moreover, the fitness cost associated with drug-resistant mutations may limit their widespread dissemination. In summary, we provided a parallel characterization of NA’s fitness and drug resistance landscape in an in vivo context, which may guide the rational selection of antiviral drugs for optimal therapeutic efficacy and second-generation NAI development. IMPORTANCE NA is a crucial surface antigen and drug target of influenza A virus. A comprehensive understanding of NA’s mutational effect and drug resistance profiles in vivo is essential for comprehending the evolutionary constraints and making informed choices regarding drug selection to combat resistance in clinical settings. In the current study, we established an efficient deep mutational screening system in mouse lung tissues and systematically evaluated the fitness effect and drug resistance to three neuraminidase inhibitors of NA single-nucleotide mutations. The fitness of NA mutants is generally correlated with a natural mutation in the database. The fitness of NA mutants is influenced by biophysical factors such as protein stability, complex formation, and the immune response triggered by viral infection. In addition to confirming previously reported drug-resistant mutations, novel mutations were identified. Interestingly, we identified an allosteric drug-resistance mutation that is not located within the drug-binding pocket but potentially affects drug binding by interfering with NA tetramerization. The dual assessments performed in this study provide a more accurate assessment of the evolutionary potential of drug-resistant mutations and offer guidance for the rational selection of antiviral drugs.

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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