Fernández-Caso Belén, Miqueleiz Ana, Alarcón Teresa
Department of Microbiology, Hospital Valle del Nalón, 33920 Langreo, Spain.
Department of Microbiology, Hospital Universitario de Navarra, 31008 Pamplona, Spain.
Antibiotics (Basel). 2023 Jun 30;12(7):1135. doi: 10.3390/antibiotics12071135.
Antibiotic resistance (AMR) is an alarming concern worldwide and , one of the most prevalent bacteria, is not an exception. With antibiotics being its primary therapy, increasing resistance leads to a higher rate of treatment failure. Understanding the genomic mechanisms of resistance to clarithromycin, levofloxacin, metronidazole, amoxicillin, tetracycline, and rifampicin through next-generation sequencing-based molecular tools, such as whole genome sequencing (WGS), can be of great value, not only to direct a patient's treatment, but also to establish and optimize treatment guidelines according to the local epidemiology and to avoid the use of inappropriate antibiotics. WGS approaches allow us to gain insight into the genomic determinants involved in AMR. To this end, different pipelines and platforms are continuously being developed. In this study, we take a more detailed view of the use and progression of WGS for in-depth study of 's AMR.
抗生素耐药性(AMR)是全球令人担忧的问题,作为最常见的细菌之一,也不例外。由于抗生素是其主要治疗手段,耐药性增加导致治疗失败率更高。通过基于下一代测序的分子工具,如全基因组测序(WGS),了解对克拉霉素、左氧氟沙星、甲硝唑、阿莫西林、四环素和利福平的耐药基因组机制,不仅对指导患者治疗具有重要价值,而且有助于根据当地流行病学建立和优化治疗指南,并避免使用不适当的抗生素。WGS方法使我们能够深入了解AMR相关的基因组决定因素。为此,不同的流程和平台不断被开发出来。在本研究中,我们更详细地探讨了WGS在深入研究的AMR方面的应用和进展。