MALDI biotyper - Phenotypic identification test rapid assay (MBT-PITRA): A new method to detect KPC and NDM in Enterobacterales

IF 1.7 4区 生物学 Q4 BIOCHEMICAL RESEARCH METHODS Journal of microbiological methods Pub Date : 2025-02-01 DOI:10.1016/j.mimet.2025.107093
Richard Martins Carrassai , Camila Mörschbächer Wilhelm , Kellen Figueira Tragnago , Aymê Duarte Echevarria , Afonso Luís Barth
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Abstract

Carbapenemase-producing Enterobacterales are a growing concern in public health. In order to rapidly determine the antimicrobial profile, the MALDI Biotyper - antibiotic susceptibility test rapid assay (MBT-ASTRA) was developed, based on the relative growth of bacteria in the presence of antibiotics. In this study, we added carbapenemase enzymatic inhibitors to the MBT-ASTRA and developed an adapted method named MALDI Biotyper - Phenotypic Identification Test Rapid Assay (MBT-PITRA) in order to perform a rapid and cost-effective phenotypic test to detect Klebsiella pneumoniae carbapenemase (KPC) and New Delhi metallo-beta-lactamase (NDM), including co-producers, in Enterobacterales. Fifty-nine clinical isolates of carbapenemase-producing Enterobacterales and 28 non-carbapenemase-producing isolates collected from 2013 to 2023 were assessed using this approach. The MBT-PITRA method involved incubating bacterial isolates with different solutions of meropenem plus enzymatic inhibitors, phenylboronic acid and/or ethylenediaminetetraacetic acid, followed by analysis using MALDI-TOF MS. Carbapenemase production was inferred based on relative growth (RG) values calculated from peak intensities in the presence and absence of enzymatic inhibitors. KPC-producing isolates presented 90 % (18/20) concordance, while isolates positive for NDM (16/16), KPC plus NDM (14/14) and negative (28/28) for carbapenemases were 100 % correctly identified. MBT-PITRA demonstrated to be a promising method for identification of carbapenemases.

Importance

The MBT-PITRA appears to be a promising method for the rapid detection of carbapenemases in Enterobacterales.
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MALDI生物型-表型鉴定快速测定法(MBT-PITRA):一种检测肠杆菌中KPC和NDM的新方法。
产碳青霉烯酶的肠杆菌在公共卫生领域日益受到关注。为了快速确定抗菌谱,根据细菌在抗生素存在下的相对生长情况,建立了MALDI生物类型-抗生素敏感性试验快速测定法(MBT-ASTRA)。在这项研究中,我们在MBT-ASTRA中添加碳青霉烯酶酶抑制剂,并开发了一种名为MALDI生物类型-表型鉴定快速测定法(MBT-PITRA)的适应方法,以便进行快速和经济高效的表型检测,以检测肺炎克雷伯菌碳青霉烯酶(KPC)和新德里金属β -内酰胺酶(NDM),包括共同产生者,肠杆菌。采用该方法对2013 - 2023年收集的59株产碳青霉烯酶肠杆菌和28株非产碳青霉烯酶肠杆菌临床分离株进行了评估。MBT-PITRA方法包括将分离的细菌与不同的美罗培南加酶抑制剂、苯硼酸和/或乙二胺四乙酸溶液孵育,然后使用MALDI-TOF ms进行分析,根据酶抑制剂存在和不存在时的峰值强度计算的相对生长期(RG)值推断碳青霉烯酶的产量。产KPC的分离株的一致性为90 %(18/20),而NDM阳性(16/16)、KPC + NDM(14/14)、oxa -48样(8/8)和碳青霉烯酶阴性(28/28)的分离株的正确率为100 %。MBT-PITRA被证明是一种很有前途的碳青霉烯酶鉴定方法。重要性:MBT-PITRA似乎是一种很有前途的快速检测肠杆菌中碳青霉烯酶的方法。
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来源期刊
Journal of microbiological methods
Journal of microbiological methods 生物-生化研究方法
CiteScore
4.30
自引率
4.50%
发文量
151
审稿时长
29 days
期刊介绍: The Journal of Microbiological Methods publishes scholarly and original articles, notes and review articles. These articles must include novel and/or state-of-the-art methods, or significant improvements to existing methods. Novel and innovative applications of current methods that are validated and useful will also be published. JMM strives for scholarship, innovation and excellence. This demands scientific rigour, the best available methods and technologies, correctly replicated experiments/tests, the inclusion of proper controls, calibrations, and the correct statistical analysis. The presentation of the data must support the interpretation of the method/approach. All aspects of microbiology are covered, except virology. These include agricultural microbiology, applied and environmental microbiology, bioassays, bioinformatics, biotechnology, biochemical microbiology, clinical microbiology, diagnostics, food monitoring and quality control microbiology, microbial genetics and genomics, geomicrobiology, microbiome methods regardless of habitat, high through-put sequencing methods and analysis, microbial pathogenesis and host responses, metabolomics, metagenomics, metaproteomics, microbial ecology and diversity, microbial physiology, microbial ultra-structure, microscopic and imaging methods, molecular microbiology, mycology, novel mathematical microbiology and modelling, parasitology, plant-microbe interactions, protein markers/profiles, proteomics, pyrosequencing, public health microbiology, radioisotopes applied to microbiology, robotics applied to microbiological methods,rumen microbiology, microbiological methods for space missions and extreme environments, sampling methods and samplers, soil and sediment microbiology, transcriptomics, veterinary microbiology, sero-diagnostics and typing/identification.
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