Department of Computer Science, College of Science and Technology, Wenzhou-Kean University, 88 Daxue Road, Ouhai, Wenzhou, Zhejiang 325060, China.
Department of Biology, College of Science and Technology, Wenzhou-Kean University, 88 Daxue Road, Ouhai, Wenzhou, Zhejiang 325060, China.
Database (Oxford). 2022 Aug 13;2022. doi: 10.1093/database/baac064.
Drug resistance remains a global threat, and the rising trend of consuming probiotic-containing foods, many of which harbor antibiotic resistant determinants, has raised serious health concerns. Currently, the lack of accessibility to location-, drug- and species-specific information of drug-resistant probiotics has hampered efforts to combat the global spread of drug resistance. Here, we describe the development of ProbResist, which is a manually curated online database that catalogs reports of probiotic bacteria that have been experimentally proven to be resistant to antibiotics. ProbResist allows users to search for information of drug resistance in probiotics by querying with the names of the bacteria, antibiotic or location. Retrieved results are presented in a downloadable table format containing the names of the antibiotic, probiotic species, resistant determinants, region where the study was conducted and digital article identifiers (PubMed Identifier and Digital Object Identifier) hyperlinked to the original sources. The webserver also presents a simple analysis of information stored in the database. Given the increasing reports of drug-resistant probiotics, an exclusive database is necessary to catalog them in one platform. It will enable medical practitioners and experts involved in policy making to access this information quickly and conveniently, thus contributing toward the broader goal of combating drug resistance.
耐药性仍然是一个全球性的威胁，而含有抗生素抗性决定因子的益生菌食品的消费呈上升趋势，这引起了严重的健康问题。目前，缺乏对耐药益生菌的位置、药物和物种特异性信息的可及性，阻碍了对抗全球耐药性传播的努力。在这里，我们描述了 ProbResist 的开发，这是一个手动编辑的在线数据库，其中包含经过实验证明对抗生素具有耐药性的益生菌细菌的报告。ProbResist 允许用户通过查询细菌名称、抗生素或位置来搜索益生菌中耐药性的信息。检索结果以可下载的表格形式呈现，其中包含抗生素名称、益生菌物种、耐药决定因素、研究进行的区域以及与原始来源链接的数字文章标识符（PubMed Identifier 和 Digital Object Identifier）。该网络服务器还对存储在数据库中的信息进行了简单的分析。鉴于耐药益生菌的报告越来越多，有必要在一个平台上对它们进行专门的数据库编目。这将使医疗从业者和参与政策制定的专家能够快速方便地访问这些信息，从而有助于实现更广泛的对抗耐药性的目标。
