Clinical Unit of Infectious Diseases, Microbiology and Preventive Medicine, Virgen del Rocío University Hospital, Seville, Spain.
Institute of Biomedicine of Seville (IBiS), Virgen del Rocío University Hospital/CSIC/University of Seville, Seville, Spain.
Emerg Microbes Infect. 2022 Dec;11(1):2034-2044. doi: 10.1080/22221751.2022.2113746.
The excessive use of piperacillin/tazobactam (P/T) has promoted the emergence of P/T-resistant . We reported that in , P/T contributes to the development of extended-spectrum resistance to β-lactam/β-lactamase inhibitor (BL/BLI) (ESRI) in isolates that are P/T susceptible but have low-level resistance to BL/BLI. Currently, the detection of P/T resistance relying on conventional methods is time-consuming. To overcome this issue, we developed a cost-effective test based on MALDI-MS technology, called MALDIpiptaz, which aims to detect P/T resistance and ESRI developers in .
We used automated Clover MS Data Analysis software to analyse the protein profile spectra obtained by MALDI-MS from a collection of 248 isolates (91 P/T-resistant, 81 ESRI developers and 76 P/T-susceptible). This software allowed to preprocess all the spectra to build different peak matrices that were analysed by machine learning algorithms.
We demonstrated that MALDIpiptaz can efficiently and rapidly (15 min) discriminate between P/T-resistant, ESRI developer and P/T-susceptible isolates and allowed the correct classification between ESRI developers from their isogenic resistance to P/T.
The combination of excellent performance and cost-effectiveness are all desirable attributes, allowing the MALDIpiptaz test to be a useful tool for the rapid determination of P/T resistance in clinically relevant isolates.
哌拉西林/他唑巴坦(P/T)的过度使用促进了 P/T 耐药性的出现。我们曾报道,在某些情况下,P/T 会导致对β-内酰胺/β-内酰胺酶抑制剂(BL/BLI)的扩展谱耐药性(ESRI)在对 BL/BLI 具有低水平耐药性但对 P/T 敏感的分离株中出现。目前,依靠常规方法检测 P/T 耐药性既耗时又费力。为了解决这个问题,我们开发了一种基于 MALDI-MS 技术的经济有效的检测方法,称为 MALDIpiptaz,旨在检测 中的 P/T 耐药性和 ESRI 开发者。
我们使用自动化 Clover MS Data Analysis 软件分析了 MALDI-MS 从 248 株分离株(91 株 P/T 耐药、81 株 ESRI 开发者和 76 株 P/T 敏感)中获得的蛋白质谱谱图。该软件允许预处理所有谱图以构建不同的峰矩阵,然后通过机器学习算法对其进行分析。
我们证明了 MALDIpiptaz 可以有效地快速(15 分钟)区分 P/T 耐药、ESRI 开发者和 P/T 敏感的分离株,并允许根据其对 P/T 的异源耐药性正确分类 ESRI 开发者。
优异的性能和成本效益的结合是理想的特性,使 MALDIpiptaz 测试成为快速确定临床相关 分离株中 P/T 耐药性的有用工具。