Sofosbuvir Selects for Drug-Resistant Amino Acid Variants in the Zika Virus RNA-Dependent RNA-Polymerase Complex In Vitro.
Adele BoccutoFilippo DragoniFrancesca PicarazziAlessia LaiCarla Della VenturaCarla VeoFederica GiammarinoFrancesco SaladiniGiangluglielmo ZehenderMaurizio ZazziMattia MoriIlaria VicentiPublished in: International journal of molecular sciences (2021)
The nucleotide analog sofosbuvir, licensed for the treatment of hepatitis C, recently revealed activity against the Zika virus (ZIKV) in vitro and in animal models. However, the ZIKV genetic barrier to sofosbuvir has not yet been characterized. In this study, in vitro selection experiments were performed in infected human hepatoma cell lines. Increasing drug pressure significantly delayed viral breakthrough (p = 0.029). A double mutant in the NS5 gene (V360L/V607I) emerged in 3 independent experiments at 40-80 µM sofosbuvir resulting in a 3.9 ± 0.9-fold half- maximal inhibitory concentration (IC50) shift with respect to the wild type (WT) virus. A triple mutant (C269Y/V360L/V607I), detected in one experiment at 80 µM, conferred a 6.8-fold IC50 shift with respect to the WT. Molecular dynamics simulations confirmed that the double mutant V360L/V607I impacts the binding mode of sofosbuvir, supporting its role in sofosbuvir resistance. Due to the distance from the catalytic site and to the lack of reliable structural data, the contribution of C269Y was not investigated in silico. By a combination of sequence analysis, phenotypic susceptibility testing, and molecular modeling, we characterized a double ZIKV NS5 mutant with decreased sofosbuvir susceptibility. These data add important information to the profile of sofosbuvir as a possible lead for anti-ZIKV drug development.
Keyphrases
- zika virus
- hepatitis c virus
- dengue virus
- hepatitis c virus infection
- wild type
- drug resistant
- aedes aegypti
- molecular dynamics simulations
- multidrug resistant
- copy number
- amino acid
- sars cov
- acinetobacter baumannii
- endothelial cells
- molecular docking
- electronic health record
- healthcare
- dna methylation
- big data
- gene expression
- pseudomonas aeruginosa
- genome wide
- cystic fibrosis
- machine learning
- resistance training
- replacement therapy
- single molecule
- data analysis
- social media
- deep learning
- dna binding
- nucleic acid