Department of Medicinal Chemistry, University of Washington, Seattle, WA, 98195, USA.
Department of Pharmacy, University of Washington, Seattle, WA, 98195, USA.
Anal Bioanal Chem. 2023 Oct;415(25):6191-6199. doi: 10.1007/s00216-023-04890-6. Epub 2023 Aug 3.
Antimicrobial resistance is a major threat to human health as resistant pathogens spread globally, and the development of new antimicrobials is slow. Since many antimicrobials function by targeting cell wall and membrane components, high-throughput lipidomics for bacterial phenotyping is of high interest for researchers to unveil lipid-mediated pathways when dealing with a large number of lab-selected or clinical strains. However, current practice for lipidomic analysis requires the cultivation of bacteria on a large scale, which does not replicate the growth conditions for high-throughput bioassays that are normally carried out in 96-well plates, such as susceptibility tests, growth curve measurements, and biofilm quantitation. Analysis of bacteria grown under the same condition as other bioassays would better inform the differences in susceptibility and other biological metrics. In this work, a high-throughput method for cultivation and lipidomic analysis of antimicrobial-resistant bacteria was developed for standard 96-well plates exemplified by methicillin-resistant Staphylococcus aureus (MRSA). By combining a 30-mm liquid chromatography (LC) column with ion mobility (IM) separation, elution time could be dramatically shortened to 3.6 min for a single LC run without losing major lipid features. Peak capacity was largely rescued by the addition of the IM dimension. Through multi-linear calibration, the deviation of retention time can be limited to within 5%, making database-based automatic lipid identification feasible. This high-throughput method was further validated by characterizing the lipidomic phenotypes of antimicrobial-resistant mutants derived from the MRSA strain, W308, grown in a 96-well plate.
抗微生物药物耐药性是对人类健康的主要威胁,因为耐药病原体在全球范围内传播,而新的抗微生物药物的开发速度缓慢。由于许多抗微生物药物通过靶向细胞壁和膜成分发挥作用,因此高通量脂质组学用于细菌表型分析对于研究人员来说非常感兴趣,因为它可以揭示脂质介导的途径,而研究人员在处理大量实验室选择或临床分离株时需要使用这些途径。然而,目前的脂质组学分析实践需要大规模培养细菌,这不能复制通常在 96 孔板中进行的高通量生物测定的生长条件,例如药敏试验、生长曲线测量和生物膜定量。在与其他生物测定相同的条件下生长的细菌分析将更好地了解药敏性和其他生物学指标的差异。在这项工作中,开发了一种用于培养和分析耐抗生素细菌的高通量方法,以耐甲氧西林金黄色葡萄球菌(MRSA)为例,使用标准的 96 孔板。通过将 30mm 液相色谱(LC)柱与离子迁移(IM)分离相结合,可以将单个 LC 运行的洗脱时间显著缩短至 3.6 分钟,而不会丢失主要脂质特征。通过添加 IM 维度,峰容量得到了很大的挽救。通过多元线性校准,可以将保留时间的偏差限制在 5%以内,从而使基于数据库的自动脂质识别成为可能。该高通量方法通过对从 MRSA 菌株 W308 中生长的 96 孔板中获得的抗抗生素突变体的脂质组学表型进行表征,进一步得到了验证。