Chen Chen, Hong Weili
Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
Antibiotics (Basel). 2021 Mar 17;10(3):311. doi: 10.3390/antibiotics10030311.
Due to the inappropriate use and overuse of antibiotics, the emergence and spread of antibiotic-resistant bacteria are increasing and have become a major threat to human health. A key factor in the treatment of bacterial infections and slowing down the emergence of antibiotic resistance is to perform antimicrobial susceptibility testing (AST) of infecting bacteria rapidly to prescribe appropriate drugs and reduce the use of broad-spectrum antibiotics. Current phenotypic AST methods based on the detection of bacterial growth are generally reliable but are too slow. There is an urgent need for new methods that can perform AST rapidly. Bacterial metabolism is a fast process, as bacterial cells double about every 20 to 30 min for fast-growing species. Moreover, bacterial metabolism has shown to be related to drug resistance, so a comparison of differences in microbial metabolic processes in the presence or absence of antimicrobials provides an alternative approach to traditional culture for faster AST. In this review, we summarize recent developments in rapid AST methods through metabolic profiling of bacteria under antibiotic treatment.
由于抗生素的不当使用和过度使用，抗生素耐药菌的出现和传播日益增加，已成为对人类健康的重大威胁。在细菌感染治疗以及减缓抗生素耐药性出现方面的一个关键因素是快速对感染细菌进行抗菌药物敏感性测试（AST），以便开出合适的药物并减少广谱抗生素的使用。当前基于细菌生长检测的表型AST方法通常可靠，但速度太慢。迫切需要能够快速进行AST的新方法。细菌代谢是一个快速过程，对于快速生长的物种，细菌细胞大约每20到30分钟就会翻倍。此外，细菌代谢已显示与耐药性有关，因此比较存在或不存在抗菌药物时微生物代谢过程的差异为更快的AST提供了一种替代传统培养的方法。在这篇综述中，我们总结了通过对抗生素处理下细菌的代谢谱分析实现快速AST方法的最新进展。
