North-Western Tuscany Blood Bank, Pisa University Hospital, 56124 Pisa, Italy.
Viruses. 2023 Apr 25;15(5):1048. doi: 10.3390/v15051048.
Drug appropriateness is a pillar of modern evidence-based medicine, but the turnaround times of genomic sequencing are not compatible with the urgent need to deliver treatments against microorganisms. Massive worldwide genomic surveillance has created an unprecedented landscape for exploiting viral sequencing for therapeutic purposes. When it comes to therapeutic antiviral antibodies, using IC against specific polymorphisms of the target antigen can be calculated in vitro, and a list of mutations leading to drug resistance (immune escape) can be compiled. The author encountered this type of knowledge (available from the Stanford University Coronavirus Antiviral Resistance Database,) in a publicly accessible repository of SARS-CoV-2 sequences. The author used a custom function of the CoV-Spectrum.org web portal to deliver up-to-date, regional prevalence estimates of baseline efficacy for each authorized anti-spike mAb across all co-circulating SARS-CoV-2 sublineages at a given time point. This publicly accessible tool can inform therapeutic choices that would otherwise be blind.
药物适宜性是现代循证医学的一个支柱,但基因组测序的周转时间与提供针对微生物的治疗方法的迫切需求不兼容。全球范围内的大规模基因组监测为利用病毒测序实现治疗目的创造了前所未有的局面。对于治疗性抗病毒抗体,针对目标抗原的特定多态性的 IC 可以在体外进行计算,并且可以编制导致耐药性(免疫逃逸)的突变列表。作者在 SARS-CoV-2 序列的公共可访问存储库中遇到了这种类型的知识(可从斯坦福大学冠状病毒抗病毒耐药性数据库中获得)。作者使用 CoV-Spectrum.org 门户网站的自定义功能,在给定时间点,为所有共同循环的 SARS-CoV-2 亚谱系中的每种授权抗刺突 mAb 提供最新的、基于区域的基线功效的流行率估计。这个公共可访问的工具可以为那些否则是盲目选择的治疗方法提供信息。