UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Efficient in vitro assay for evaluating drug efficacy and synergy against emerging SARS-CoV-2 strains

Woodall, Maximillian; Ellis, Samuel; Zhang, Shengyuan; Kembou-Ringert, Japhette; Kite, Kerry-Anne; Buggiotti, Laura; Jacobs, Amy I; ... Smith, Claire M; + view all (2025) Efficient in vitro assay for evaluating drug efficacy and synergy against emerging SARS-CoV-2 strains. Antimicrobial Agents and Chemotherapy , 69 (2) 10.1128/aac.01233-24. Green open access

[thumbnail of Efficient iin vitroi assay for evaluating drug efficacy and synergy against emerging SARS-CoV-2 strains.pdf]
Preview
PDF
Efficient iin vitroi assay for evaluating drug efficacy and synergy against emerging SARS-CoV-2 strains.pdf - Published Version

Download (4MB) | Preview

Abstract

Novel and repurposed antiviral drugs are available for the treatment of coronavirus disease 2019 (COVID-19). However, antiviral combinations may be more potent and lead to faster viral clearance, but the methods for screening antiviral combinations against respiratory viruses are not well established and labor-intensive. Here, we describe a time-efficient (72–96 h) and simple in vitro drug-sensitivity assay for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using standard 96-well plates. We employ different synergy models (zero interaction potency, highest single agent, Loewe, Bliss) to determine the efficacy of antiviral therapies and synergistic combinations against ancestral and emerging clinical SARS-CoV-2 strains. We found that monotherapy of remdesivir, nirmatrelvir, and active metabolite of molnupiravir (EIDD-1931) demonstrated baseline EC50s within clinically achievable levels of 4.34 mg/L (CI: 3.74–4.94 mg/L), 1.25 mg/L (CI: 1.10–1.45 mg/L), and 0.25 mg/L (CI: 0.20–0.30 mg/L), respectively, against the ancestral SARS-CoV-2 strain. However, their efficacy varied against newer Omicron variants BA.1.1.15 and BA.2, particularly with the protease inhibitor nirmatrelvir. We also found that remdesivir and nirmatrelvir have a consistent, strong synergistic effect (Bliss synergy score >10) at clinically relevant drug concentrations (nirmatrelvir 0.25–1 mg/L with remdesivir 1–4 mg/L) across all SARS-CoV-2 strains tested. This method offers a practical tool that streamlines the identification of effective combination therapies and the detection of antiviral resistance. Our findings support the use of antiviral drug combinations targeting multiple viral components to enhance COVID-19 treatment efficacy, particularly in the context of emerging viral strains.

Type: Article
Title: Efficient in vitro assay for evaluating drug efficacy and synergy against emerging SARS-CoV-2 strains
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1128/aac.01233-24
Publisher version: https://doi.org/10.1128/aac.01233-24
Language: English
Additional information: Copyright © 2024 Woodall et al. This is an openaccess article distributed under the terms of the Creative Commons Attribution 4.0 International license.
Keywords: SARS-CoV-2, Omicron, COVID-19, infection, in vitro assay, drug synergy
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Infection and Immunity
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Infection, Immunity and Inflammation Dept
URI: https://discovery.ucl.ac.uk/id/eprint/10207845
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item