Woodall Maximillian, Ellis Samuel, Zhang Shengyuan, Kembou-Ringert Japhette, Kite Kerry-Anne, Buggiotti Laura, Jacobs Amy I, Agyeman Akosua Adom, Masonou Tereza, Palor Machaela, McHugh Timothy D, Breuer Judith, Standing Joseph F, Smith Claire M
UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
UCL Centre for Clinical Microbiology, Royal Free Campus, London, United Kingdom.
Antimicrob Agents Chemother. 2025 Feb 13;69(2):e0123324. doi: 10.1128/aac.01233-24. Epub 2024 Dec 17.
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 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.
新型和重新利用的抗病毒药物可用于治疗2019冠状病毒病(COVID-19)。然而,抗病毒药物联合使用可能更有效,并能更快清除病毒,但针对呼吸道病毒筛选抗病毒药物组合的方法尚未完善且耗费人力。在此,我们描述了一种使用标准96孔板针对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的省时(72 - 96小时)且简单的药物敏感性检测方法。我们采用不同的协同模型(零相互作用效力、最高单药效力、洛氏、布利斯)来确定抗病毒疗法以及针对原始和新出现的临床SARS-CoV-2毒株的协同组合的疗效。我们发现,针对原始SARS-CoV-2毒株,瑞德西韦、奈玛特韦和莫努匹拉韦的活性代谢物(EIDD - 1931)的单药治疗显示基线半数有效浓度(EC50)在临床可达到水平内,分别为4.34毫克/升(置信区间:3.74 - 4.94毫克/升)、1.25毫克/升(置信区间:1.10 - 1.45毫克/升)和0.25毫克/升(置信区间:0.20 - 0.30毫克/升)。然而,它们对较新的奥密克戎变种BA.1.1.15和BA.2的疗效有所不同,尤其是蛋白酶抑制剂奈玛特韦。我们还发现,在所有测试的SARS-CoV-2毒株中,瑞德西韦和奈玛特韦在临床相关药物浓度(奈玛特韦0.25 - 1毫克/升,瑞德西韦1 - 4毫克/升)下具有一致的强协同效应(布利斯协同评分>10)。该方法提供了一种实用工具,可简化有效联合疗法的鉴定以及抗病毒耐药性的检测。我们的研究结果支持使用针对多种病毒成分的抗病毒药物组合来提高COVID-19的治疗效果,特别是在新出现病毒毒株的情况下。