ReviewMicroorganisms2019
MALDI-TOF Mass Spectrometry and Specific Biomarkers: Potential New Key for Swift Identification of Antimicrobial Resistance in Foodborne Pathogens.
Review in Microorganisms, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 39 citations in OpenAlex.
- Identification and Differentiation of Non-HemolyticMolecules (Basel, Switzerland) · 2025Article
- Identification of Virulence Genes and Antibiotic Resistance in Extraintestinal PathogenicPathogens (Basel, Switzerland) · 2025Article
- First whole genome report ofCurrent research in microbial sciences · 2025Article
- Direct Detection of Carbapenemase-Producing Klebsiella pneumoniae by MALDI-TOF Analysis of Full Spectra Applying Machine Learning.Journal of clinical microbiology · 2023Article
- Article
- Review
- Combating the menace of antimicrobial resistance in Africa: a review on stewardship, surveillance and diagnostic strategies.Biological procedures online · 2022Review
- Applications of MALDI-MS/MS-Based Proteomics in Biomedical Research.Molecules (Basel, Switzerland) · 2022Review
- The Use of Bacteriophages in Biotechnology and Recent Insights into Proteomics.Antibiotics (Basel, Switzerland) · 2022Review
- The Use of MALDI-TOF MS as a Diagnostic Tool for AdultFrontiers in veterinary science · 2022Article
- Petri-plate, bacteria, and laser optical scattering sensor.Frontiers in cellular and infection microbiology · 2022Review
- Detection of Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2021Review
- Combination of MALDI-TOF Mass Spectrometry and Machine Learning for Rapid Antimicrobial Resistance Screening: The Case ofFrontiers in microbiology · 2021Article
- Reporter Phage-Based Detection of Bacterial Pathogens: Design Guidelines and Recent Developments.Viruses · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) is today the reference method for direct identification of microorganisms in diagnostic laboratories, as it is notably time- and cost-efficient. In the context of increasing cases of enteric diseases with emerging multi-drug resistance patterns, there is an urgent need to adopt an efficient workflow to characterize antimicrobial resistance (AMR). Current approaches, such as antibiograms, are time-consuming and directly impact the "patient-physician" workflow. Through this mini-review, we summarize how the detection of specific patterns by MALDI-TOF MS, as well as bioinformatics, become more and more essential in research, and how these approaches will help diagnostics in the future. Along the same lines, the idea to export more precise biomarker identification steps by MALDI-TOF(/TOF) MS data towards AMR identification pipelines is discussed. The study also critically points out that there is currently still a lack of research data and knowledge on different foodborne pathogens as well as several antibiotics families such as macrolides and quinolones, and many questions are still remaining. Finally, the innovative combination of whole-genome sequencing and MALDI-TOF MS could be soon the future for diagnosis of antimicrobial resistance in foodborne pathogens.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.