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一个经过 ISO 认证的基因组学工作流程,用于鉴定和监测抗菌素耐药性。

An ISO-certified genomics workflow for identification and surveillance of antimicrobial resistance.

机构信息

Microbiological Diagnostic Unit Public Health Laboratory (MDU-PHL), Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Victoria, Australia.

Department of Infectious Diseases, Austin Health, Heidelberg, Victoria, Australia.

出版信息

Nat Commun. 2023 Jan 4;14(1):60. doi: 10.1038/s41467-022-35713-4.

Abstract

Realising the promise of genomics to revolutionise identification and surveillance of antimicrobial resistance (AMR) has been a long-standing challenge in clinical and public health microbiology. Here, we report the creation and validation of abritAMR, an ISO-certified bioinformatics platform for genomics-based bacterial AMR gene detection. The abritAMR platform utilises NCBI's AMRFinderPlus, as well as additional features that classify AMR determinants into antibiotic classes and provide customised reports. We validate abritAMR by comparing with PCR or reference genomes, representing 1500 different bacteria and 415 resistance alleles. In these analyses, abritAMR displays 99.9% accuracy, 97.9% sensitivity and 100% specificity. We also compared genomic predictions of phenotype for 864 Salmonella spp. against agar dilution results, showing 98.9% accuracy. The implementation of abritAMR in our institution has resulted in streamlined bioinformatics and reporting pathways, and has been readily updated and re-verified. The abritAMR tool and validation datasets are publicly available to assist laboratories everywhere harness the power of AMR genomics in professional practice.

摘要

将基因组学应用于革命性地识别和监测抗菌素耐药性(AMR)的承诺,一直是临床和公共卫生微生物学领域的一个长期挑战。在这里,我们报告了 abritAMR 的创建和验证,这是一个基于 ISO 认证的生物信息学平台,用于基于基因组的细菌 AMR 基因检测。abritAMR 平台利用了 NCBI 的 AMRFinderPlus,以及将 AMR 决定因素分类为抗生素类别并提供定制报告的其他功能。我们通过与 PCR 或参考基因组进行比较来验证 abritAMR,这些基因组代表了 1500 种不同的细菌和 415 种耐药等位基因。在这些分析中,abritAMR 显示出 99.9%的准确性、97.9%的敏感性和 100%的特异性。我们还比较了 864 株沙门氏菌属的基因组预测表型与琼脂稀释结果,显示出 98.9%的准确性。我们机构实施 abritAMR 后,简化了生物信息学和报告途径,并已进行了快速更新和重新验证。abritAMR 工具和验证数据集可供公开使用,以帮助世界各地的实验室在专业实践中利用 AMR 基因组学的力量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a55/9813266/47ac0bd2b2c0/41467_2022_35713_Fig1_HTML.jpg

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