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"Omic" Approaches to Bacteria and Antibiotic Resistance Identification.

Daria JaniszewskaMałgorzata Szultka-MłyńskaPaweł PomastowskiBogusław Buszewski
Published in: International journal of molecular sciences (2022)
The quick and accurate identification of microorganisms and the study of resistance to antibiotics is crucial in the economic and industrial fields along with medicine. One of the fastest-growing identification methods is the spectrometric approach consisting in the matrix-assisted laser ionization/desorption using a time-of-flight analyzer (MALDI-TOF MS), which has many advantages over conventional methods for the determination of microorganisms presented. Thanks to the use of a multiomic approach in the MALDI-TOF MS analysis, it is possible to obtain a broad spectrum of data allowing the identification of microorganisms, understanding their interactions and the analysis of antibiotic resistance mechanisms. In addition, the literature data indicate the possibility of a significant reduction in the time of the sample preparation and analysis time, which will enable a faster initiation of the treatment of patients. However, it is still necessary to improve the process of identifying and supplementing the existing databases along with creating new ones. This review summarizes the use of "-omics" approaches in the MALDI TOF MS analysis, including in bacterial identification and antibiotic resistance mechanisms analysis.
Keyphrases
  • mass spectrometry
  • electronic health record
  • high resolution
  • bioinformatics analysis
  • machine learning
  • wastewater treatment
  • heavy metals