Department of Biomedical Informatics, University of Cincinnati, Cincinnati, OH 45267, USA.
Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
Int J Mol Sci. 2020 Feb 18;21(4):1363. doi: 10.3390/ijms21041363.
Antimicrobial resistance (AMR) is a major health concern worldwide. A better understanding of the underlying molecular mechanisms is needed. Advances in whole genome sequencing and other high-throughput unbiased instrumental technologies to study the molecular pathogenicity of infectious diseases enable the accumulation of large amounts of data that are amenable to bioinformatic analysis and the discovery of new signatures of AMR. In this work, we review representative methods published in the past five years to define major approaches developed to-date in the understanding of AMR mechanisms. Advantages and limitations for applications of these methods in clinical laboratory testing and basic research are discussed.
抗微生物药物耐药性（AMR）是全球范围内的一个主要健康关注点。需要更好地理解其潜在的分子机制。全基因组测序和其他高通量无偏仪器技术的进步，使人们能够研究传染病的分子发病机制，从而积累了大量可进行生物信息学分析和发现新的 AMR 特征的数据。在这项工作中，我们回顾了过去五年中发表的有代表性的方法，以定义迄今为止在理解 AMR 机制方面所采用的主要方法。讨论了这些方法在临床实验室检测和基础研究中的应用的优缺点。
