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AJMB2401 - CME/CMLE - Use of MALDI-TOF to Detect A ...
Use of MALDI-TOF to Detect Antibiotic Resistance i ...
Use of MALDI-TOF to Detect Antibiotic Resistance in Bacteria: A Scoping Review
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Pdf Summary
A scoping review explored the use of Matrix-Assisted Laser Desorption Ionization-Time of Flight (MALDI-TOF) technology for detecting antimicrobial resistance (AMR) in bacteria. Two main methodologies were identified, including detecting bacterial growth after incubation with antibiotics and identifying specific mass spectral changes associated with drug resistance. Methods such as detecting isotopic shifts and utilizing the Direct-On-Target Microdroplet Growth Assay were highlighted for their potential in rapidly detecting antibiotic resistance compared to traditional methods. The study also investigated MALDI-TOF for its role in detecting drug modification and target alterations associated with AMR. The review emphasized the need for continuous research and validation efforts for the clinical implementation of MALDI-TOF technology in AMR detection. Moreover, challenges like the emergence of colistin resistance and the urgent requirement for rapid and reliable AMR detection methods due to the growing threat of antimicrobial resistance in various bacterial strains were discussed. Additionally, the document discussed the potential of MALDI-TOF MS for detecting AMR mechanisms in bacteria like MRSA and carbapenem-resistant Enterobacteriaceae through biomarker identification approaches. Machine learning techniques have been utilized to predict AMR based on mass spectra profiles, showing promise in identifying resistant organisms and combining bacterial identification with antibiotic susceptibility testing. Challenges such as the need for validation of machine learning models and standardization of parameters exist, requiring further research for the effective integration of MALDI-TOF MS in clinical practice to combat AMR.
Keywords
Matrix-Assisted Laser Desorption Ionization-Time of Flight
MALDI-TOF technology
Antimicrobial resistance
Bacteria
Drug resistance detection
Isotopic shifts
Direct-On-Target Microdroplet Growth Assay
Colistin resistance
Machine learning techniques
MRSA detection
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