ArticleBMC infectious diseases2021
Using MALDI-TOF spectra in epidemiological surveillance for the detection of bacterial subgroups with a possible epidemic potential.
Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03626987 (Identification of Protein Markers of Epidemiological and Clinical Interest by MALDI-TOF), which is not on this map. Cited by 12 papers.
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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.
Identification of Protein Markers of Epidemiological and Clinical Interest by MALDI-TOF
Who cites it
12 citing papers in PubMed, 15 citations in OpenAlex.
- Integrated Phenotypic, Proteomic (MALDI-TOF MS), and Genomic (WGS) Investigation of a Prolonged Hospital Outbreak ofAntibiotics (Basel, Switzerland) · 2026Article
- Article
- Molecular Profiling of Foodborne Pathogens in Ready-to-Eat Foods, Al-Madinah Al-Munawarah, Saudi Arabia.Biology · 2026Article
- Exploring the Utility of MALDI-TOF Mass Spectrometry and Antimicrobial Resistance in Hospital Outbreak Detection.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026Article
- Haemophilus influenzae and Staphylococcus aureus population shifts during social distancing as monitored by MALDI-TOF MS.Scientific reports · 2025Article
- Healthcare-Associated Infections: The Role of Microbial and Environmental Factors in Infection Control-A Narrative Review.Infectious diseases and therapy · 2025Review
- Use of a national repository of Fourier-transform infrared spectroscopy spectra enables fast detection of silent outbreaks and prevention of spread of new antibiotic-resistant sequence types.Antimicrobial resistance and infection control · 2025Article
- Genome assembly ofFrontiers in microbiology · 2025Article
- Mitigating Health Risks Through Environmental Tracking of Pseudomonas aeruginosa.Current microbiology · 2024Review
- A Comprehensive Methodology for Microbial Strain Typing Using Fourier-Transform Infrared Spectroscopy.Methods and protocols · 2024Article
- Antibiotic resistance surveillance ofEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022Article
- Investigation of MALDI-TOF Mass Spectrometry for Assessing the Molecular Diversity ofDiagnostics (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundFor the purpose of epidemiological surveillance, the Hospital University Institute Méditerranée infection has implemented since 2013 a system named MIDaS, based on the systematic collection of routine activity materials, including MALDI-TOF spectra, and results. The objective of this paper is to present the pipeline we use for processing MALDI-TOF spectra during epidemiological surveillance in order to disclose proteinic cues that may suggest the existence of epidemic processes in complement of incidence surveillance. It is illustrated by the analysis of an alarm observed for Streptococcus pneumoniae.
methodsThe MALDI-TOF spectra analysis process looks for the existence of clusters of spectra characterized by a double time and proteinic close proximity. This process relies on several specific methods aiming at contrasting and clustering the spectra, presenting graphically the results for an easy epidemiological interpretation, and for determining the discriminating spectra peaks with their possible identification using reference databases.
resultsThe use of this pipeline in the case of an alarm issued for Streptococcus pneumoniae has made it possible to reveal a cluster of spectra with close proteinic and temporal distances, characterized by the presence of three discriminant peaks (5228.8, 5917.8, and 8974.3 m/z) and the absence of peak 4996.9 m/z. A further investigation on UniProt KB showed that peak 5228.8 is possibly an OxaA protein and that the absent peak may be a transposase.
conclusionThis example shows this pipeline may support a quasi-real time identification and characterization of clusters that provide essential information on a potentially epidemic situation. It brings valuable information for epidemiological sensemaking and for deciding on the continuation of the epidemiological investigation, in particular the involving of additional costly resources to confirm or invalidate the alarm. CLINICAL TRIALS REGISTRATION: NCT03626987.
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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.