美罗培南
舒巴坦钠
替加环素
鲍曼不动杆菌
肉汤微量稀释
抗菌剂
头孢他啶
万古霉素
微生物学
医学
最小抑制浓度
抗生素
生物
亚胺培南
抗生素耐药性
细菌
金黄色葡萄球菌
铜绿假单胞菌
遗传学
作者
Pengfei Zhu,Lihui Ren,Ying Zhu,Jing Dai,Huijie Liu,Yuli Mao,Yuandong Li,Yuehui He,Xiaoshan Zheng,Rongze Chen,Xiaoting Fu,Lili Zhang,Lijun Sun,Yuanqi Zhu,Yuetong Ji,Bo Ma,Yingchun Xu,Jian Xu,Qiwen Yang
摘要
Antimicrobial susceptibility tests (ASTs) are pivotal in combating multidrug resistant pathogens, yet they can be time-consuming, labor-intensive, and unstable. Using the AST of tigecycline for sepsis as the main model, here we establish an automated system of Clinical Antimicrobials Susceptibility Test Ramanometry (CAST-R), based on D2O-probed Raman microspectroscopy. Featuring a liquid robot for sample pretreatment and a machine learning-based control scheme for data acquisition and quality control, the 3-h, automated CAST-R process accelerates AST by >10-fold, processes 96 paralleled antibiotic-exposure reactions, and produces high-quality Raman spectra. The Expedited Minimal Inhibitory Concentration via Metabolic Activity is proposed as a quantitative and broadly applicable parameter for metabolism-based AST, which shows 99% essential agreement and 93% categorical agreement with the broth microdilution method (BMD) when tested on 100 Acinetobacter baumannii isolates. Further tests on 26 clinically positive blood samples for eight antimicrobials, including tigecycline, meropenem, ceftazidime, ampicillin/sulbactam, oxacillin, clindamycin, vancomycin, and levofloxacin reveal 93% categorical agreement with BMD-based results. The automation, speed, reliability, and general applicability of CAST-R suggest its potential utility for guiding the clinical administration of antimicrobials.
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