Publication:
Ultrasensitive and rapid identification of ESRI developer- and piperacillin/tazobactam-resistant Escherichia coli by the MALDIpiptaz test.

dc.contributor.authorRodríguez Villodres, Angel
dc.contributor.authorGálvez Benítez, Lydia
dc.contributor.authorArroyo, Manuel J
dc.contributor.authorMéndez, Gema
dc.contributor.authorMancera, Luis
dc.contributor.authorVila Domínguez, Andrea
dc.contributor.authorLepe Jímenez, José Antonio
dc.contributor.authorSmani, Younes
dc.date.accessioned2023-05-03T13:27:06Z
dc.date.available2023-05-03T13:27:06Z
dc.date.issued2022
dc.description.abstractThe excessive use of piperacillin/tazobactam (P/T) has promoted the emergence of P/T-resistant Enterobacterales. We reported that in Escherichia coli, 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 E. coli. We used automated Clover MS Data Analysis software to analyse the protein profile spectra obtained by MALDI-MS from a collection of 248 E. coli 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 E. coli isolates.
dc.identifier.doi10.1080/22221751.2022.2113746
dc.identifier.essn2222-1751
dc.identifier.pmcPMC9423838
dc.identifier.pmid35972021
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9423838/pdf
dc.identifier.unpaywallURLhttps://doi.org/10.1080/22221751.2022.2113746
dc.identifier.urihttp://hdl.handle.net/10668/19696
dc.issue.number1
dc.journal.titleEmerging microbes & infections
dc.journal.titleabbreviationEmerg Microbes Infect
dc.language.isoen
dc.organizationHospital Universitario Virgen del Rocío
dc.organizationHospital Universitario Virgen del Rocío
dc.organizationInstituto de Biomedicina de Sevilla-IBIS
dc.page.number2034-2044
dc.pubmedtypeJournal Article
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectEscherichia coli
dc.subjectPiperacillin
dc.subjectalgorithm
dc.subjectbeta-lactamase
dc.subjectbeta-lactamase inhibitor
dc.subjectmachine learning
dc.subjectresistance
dc.subjecttazobactam
dc.subject.meshAnti-Bacterial Agents
dc.subject.meshEscherichia coli
dc.subject.meshEscherichia coli Infections
dc.subject.meshHumans
dc.subject.meshMicrobial Sensitivity Tests
dc.subject.meshPiperacillin, Tazobactam Drug Combination
dc.subject.meshbeta-Lactamases
dc.titleUltrasensitive and rapid identification of ESRI developer- and piperacillin/tazobactam-resistant Escherichia coli by the MALDIpiptaz test.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number11
dspace.entity.typePublication

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