催交
2019年冠状病毒病(COVID-19)
化学
周转时间
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
2019-20冠状病毒爆发
色谱法
计算机科学
病毒学
医学
传染病(医学专业)
爆发
操作系统
工程类
病理
疾病
系统工程
作者
Bastiaan L. Duivelshof,Arnold Zöldhegyi,Davy Guillarme,Matthew Lauber,Szabolcs Fekete
标识
DOI:10.1016/j.jpba.2022.115039
摘要
The COVID-19 pandemic necessitated the emergency use authorization (EUA) of several new therapeutics and vaccines. Several monoclonal antibodies (mAbs) were among those authorized for use, and they have served a purpose to provide passive immunity and to help minimize dangerous secondary effects in at-risk and hospitalized patients infected with SARS-CoV-2. With an EUA submission, scientific data on a drug candidate is often collected near simultaneously alongside drug development. In such a situation, there is little time to allow misguided method development nor time to wait on traditional turnaround times. We have taken this dilemma as a chance to propose new means to expediting the chromatographic characterization of protein therapeutics. To this end, we have combined the use of automated, systematic modeling and ultrashort LC columns to quickly optimize high throughput RP, IEX, HILIC and SEC separations for two COVID-19-related mAbs. The development and verification of these four complementary analytical methods required only 2 days of experimental work. In the end, one chromatographic analysis can be performed with a sub-2 min run time such that it is feasible to comprehensively characterize a COVID-19 mAb cocktail by 4 different profiling techniques within a 1-hour turnaround time.
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