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Usage Information

The impact of remdesivir on SARS-CoV-2 evolution in vivo
Ted Ling-Hu, Lacy M. Simons, Estefany Rios-Guzman, Alexandre Machado Carvalho, Maria Francesca R. Agnes, Arghavan Alisoltanidehkordi, Egon A. Ozer, Ramon Lorenzo-Redondo, Judd F. Hultquist
Ted Ling-Hu, Lacy M. Simons, Estefany Rios-Guzman, Alexandre Machado Carvalho, Maria Francesca R. Agnes, Arghavan Alisoltanidehkordi, Egon A. Ozer, Ramon Lorenzo-Redondo, Judd F. Hultquist
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Research Article COVID-19 Therapeutics

The impact of remdesivir on SARS-CoV-2 evolution in vivo

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Abstract

The impact of remdesivir on SARS-CoV-2 diversity and evolution in vivo has remained unclear. In this single-center, retrospective cohort study, we assessed SARS-CoV-2 diversification and diversity over time in a cohort of hospitalized patients who did or did not receive remdesivir. Whole-genome sequencing was performed on 98 paired specimens collected from 49 patients before and after remdesivir administration. The genetic divergence between paired specimens was not significantly different in this cohort compared with that in a control group of patients who did not receive the drug. However, when we focused on minority variants, several positions showed preferential diversification after remdesivir treatment, some of which were associated with specific variants of concern. Most notably, remdesivir administration resulted in strong selection for a nonsynonymous mutation in nsp12, G671S, previously associated with enhanced viral fitness. This same mutation was found to be enriched in a second cohort of 143 inpatients with specimens collected after remdesivir administration compared with controls. Only one other mutation previously implicated in remdesivir resistance (nsp12:V792I) was found to be preferentially selected for after remdesivir administration. These data suggest that SARS-CoV-2 variants with enhanced replicative fitness may be selected for in the presence of antiviral therapy as an indirect means to overcome this selective pressure.

Authors

Ted Ling-Hu, Lacy M. Simons, Estefany Rios-Guzman, Alexandre Machado Carvalho, Maria Francesca R. Agnes, Arghavan Alisoltanidehkordi, Egon A. Ozer, Ramon Lorenzo-Redondo, Judd F. Hultquist

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Usage data is cumulative from January 2025 through December 2025.

Usage JCI PMC
Text version 1,937 207
PDF 608 18
Figure 421 6
Table 92 0
Supplemental data 426 24
Citation downloads 135 0
Totals 3,619 255
Total Views 3,874

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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