Ultrasensitive and rapid identification of ESRI developer- and piperacillin/tazobactam-resistant Escherichia coli by

Angel Rodríguez Villodres1,2, Lydia Gálvez Benítez1,2, Manuel J Arroyo3

  • 1Clinical Unit of Infectious Diseases, Microbiology and Preventive Medicine, Virgen del Rocío University Hospital, Seville, Spain.

Abstract

Insights

A new MALDIpiptaz test rapidly detects piperacillin/tazobactam (P/T) resistance in E. coli. This cost-effective MALDI-MS method distinguishes P/T-resistant, susceptible, and extended-spectrum resistance to β-lactam/β-lactamase inhibitor (ESRI) developing isolates.

Area of Science:

  • Microbiology
  • Clinical Diagnostics
  • Mass Spectrometry

Background:

  • Piperacillin/tazobactam (P/T) resistance is increasing in Enterobacterales.
  • Escherichia coli can develop extended-spectrum resistance to β-lactam/β-lactamase inhibitors (ESRI) even when initially susceptible to P/T.
  • Conventional P/T resistance detection methods are time-consuming.

Purpose of the Study:

  • To develop a rapid, cost-effective test for detecting P/T resistance in E. coli.
  • To identify isolates developing ESRI using MALDI-MS technology.
  • To differentiate P/T-resistant, ESRI-developing, and P/T-susceptible E. coli isolates.

Main Methods:

  • Utilized MALDI-MS technology to analyze protein profiles of 248 E. coli isolates.
  • Employed automated Clover MS Data Analysis software for spectral preprocessing and peak matrix generation.
  • Applied machine learning algorithms to analyze the data for resistance detection.

Main Results:

  • The developed MALDIpiptaz test accurately discriminated between P/T-resistant, ESRI-developing, and P/T-susceptible E. coli isolates.
  • The test achieved rapid results within 15 minutes.
  • Correct classification of ESRI developers distinct from their P/T resistance was demonstrated.

Conclusions:

  • MALDIpiptaz is an efficient and rapid tool for determining P/T resistance in clinically relevant E. coli.
  • The test's cost-effectiveness and performance make it valuable for clinical settings.
  • This method aids in timely identification of resistance patterns for improved patient management.

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