Raman-Based Antimicrobial Susceptibility Testing on Antibiotics of Last Resort.
Raman-Based Antimicrobial Susceptibility Testing on Antibiotics of Last Resort.
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DOI：
10.2147/idr.s404732
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发表时间：
2023
影响因子：
3.9
通讯作者：
Chen, Dingqiang
中科院分区：
文献类型：
--
作者：
Xiao, Zhirou;Qu, Liping;Chen, Haijun;Liu, Wanting;Zhan, Yi;Ling, Jiahui;Shen, Hongwei;Yang, Ling;Chen, Dingqiang
关键词：
抗生素耐药性代表了严重的全球健康挑战，特别是随着对最后手段抗生素如替加环素、多粘菌素B和万古霉素耐药菌株的出现。需要采取紧急措施来缓解这种情况。为了促进抗生素的明智使用，快速和精确的抗菌药物敏感性测试（AST）是必不可少的。重水（氧化氘，D2 O）标记的拉曼光谱已成为一个有前途的节省时间的工具，用于微生物检测。氘掺入和实验条件进行了检查，以开发和应用基于拉曼的AST方法来评估最后手段的抗生素，包括替加环素，多粘菌素B，万古霉素，对大肠杆菌，肺炎克雷伯菌，铜绿假单胞菌，屎肠球菌的疗效。使用基本一致率和分类一致率评估基于拉曼光谱（R-MIC）的代谢灭活浓度（本研究中开发的一种新指标）和通过传统微量稀释肉汤法测定的最低抑菌浓度（MIC）。采用斯皮尔曼等级相关系数来测量R-MIC和MIC值之间的关联。在5 h内，基于拉曼光谱的AST方法与传统微量稀释肉汤法达到100%的分类一致性（92/92），而传统方法需要约24 h。R-MIC值与MIC值的一致性为68.5%（63/92）。此外，R-MIC和MIC值高度相关（斯皮尔曼r=0.96），基本一致率为100%。我们优化的实验方法和条件表明，基于拉曼的AST作为克服传统AST方法耗时挑战的解决方案具有很大的前景。
Antibiotic resistance represents a serious global health challenge, particularly with the emergence of strains resistant to last-resort antibiotics such as tigecycline, polymyxin B, and vancomycin. Urgent measures are required to alleviate this situation. To facilitate the judicious use of antibiotics, rapid and precise antimicrobial susceptibility testing (AST) is essential. Heavy water (deuterium oxide, D2O)-labeled Raman spectroscopy has emerged as a promising time-saving tool for microbiological testing. Deuterium incorporation and experimental conditions were examined to develop and apply a Raman-based AST method to evaluate the efficacy of last-resort antibiotics, including tigecycline, polymyxin B, and vancomycin, against Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Enterococcus faecium. Essential agreement and categorical agreement were used to assess the metabolism inactivation concentration based on Raman spectroscopy (R-MIC)–a new metric developed in this study—and minimum inhibitory concentration (MIC) determined via the traditional microdilution broth method. Spearman’s rank correlation coefficient was employed to measure the association between R-MIC and MIC values. The Raman-based AST method achieved a 100% categorical agreement (92/92) with the traditional microdilution broth method within five hours, while the traditional method required approximately 24 h. The R-MIC values shared 68.5% (63/92) consistency with the MIC values. In addition, the R-MIC and MIC values were highly correlated (Spearman’s r=0.96), resulting in an essential agreement of 100%. Our optimized experimental method and conditions indicate that Raman-based AST holds great promise as a solution to overcome the time-consuming challenges of traditional AST methods.
通过拉曼光谱图鉴定废水处理中头孢他啶与细菌的相互作用
影响因子：
3.9
作者：
Peng, Meng-Wen;Wei, Xiang-Yang;Yu, Qiang;Yan, Peng;Chen, You-Peng;Guo, Jin-Song
通讯作者：
Guo, Jin-Song