Department of Microbiology, College of Basic Sciences, Shahr-e-Qods Branch, Islamic Azad University, Fath Highway, Shahr-e-Qods, End of Shahid Kalhor Blvd, Post Box: 37541-374, Tehran, Iran.
School of Medicine, UROGIV Research Group, Universidad del Valle, Cali, Colombia.
Mol Biol Rep. 2020 Aug;47(8):6281-6294. doi: 10.1007/s11033-020-05651-9. Epub 2020 Jul 11.
Microbial pathogens including Enterobacteriaceae family members bear different antibiotic resistance genes comprising Extended-Spectrum-ß-Lactamases (ESBLs) and Metallo-ß-Lactamases (MBLs) on their chromosomes and mobile genetic elements such as plasmids and transposons. Because of the clinical concern regarding MBLs in global public healthcare system, this review focuses on different characteristics of MBLs. For preparing this review article, different databases, websites and search engines such as MEDLINE, SCOPUS, SCIENCEDIRECT and GOOGLE SCHOLAR were searched via MeSH keywords of Enterobacteriaceae, Escherichia coli, Klebsiella pneumoniae, MBL and Bioinformatics. Different types of papers comprising review articles and original articles which were published between the years of 1980 and 2020 were searched, studied and selected by the authors. The results show that, the importance of the spread of MBLs among microbial pathogens may lead to progressive studies for definite treatment. The use of computational biology and chemistry and bioinformatics has had effective consequences on recognition and identification of different properties of MBLs. The application of bioinformatic software tools and databases gives us a great promise regarding production of effective inhibitors against MBLs to have a definite treatment.
微生物病原体包括肠杆菌科家族成员，在其染色体和移动遗传元件（如质粒和转座子）上携带不同的抗生素耐药基因，包括扩展谱β-内酰胺酶（ESBLs）和金属β-内酰胺酶（MBLs）。由于全球公共卫生保健系统中对 MBLs 的临床关注，本综述重点介绍了 MBLs 的不同特征。为了准备这篇综述文章，作者通过 MEDLINE、SCOPUS、SCIENCEDIRECT 和 GOOGLE SCHOLAR 等数据库、网站和搜索引擎，使用肠杆菌科、大肠杆菌、肺炎克雷伯菌、MBL 和生物信息学的 MeSH 关键词进行了搜索。作者搜索、研究和选择了发表于 1980 年至 2020 年之间的不同类型的论文，包括综述文章和原始文章。结果表明，MBLs 在微生物病原体中的传播的重要性可能导致对明确治疗方法的深入研究。计算生物学和化学以及生物信息学的应用对识别和鉴定 MBLs 的不同特性产生了有效的影响。生物信息学软件工具和数据库的应用为我们生产针对 MBLs 的有效抑制剂以进行明确治疗提供了很大的希望。
