Automated web-based typing of Clostridioides difficile ribotypes via MALDI-TOF MS.

Journal: BMC bioinformatics
Published Date: Jul 17, 2025

Abstract

BACKGROUND: Clostridioides difficile is a major cause of hospital-acquired diarrhea and a driver of nosocomial outbreaks, yet rapid, accurate ribotype identification remains challenging. We sought to develop a MALDI-TOF MS-based workflow coupled with machine learning to distinguish epidemic toxigenic ribotypes (RT027 and RT181) from other strains in real time.

Authors

  • Mario Blázquez-Sánchez
    Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón and Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.
  • Alejandro Guerrero-López
    Signal Processing and Communications Department, Universidad Carlos III de Madrid, Avda. de la Universidad, 30, 28911, Madrid, Spain. alguerre@pa.uc3m.es.
  • Ana Candela
    Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
  • Albert Belenguer-Llorens
    Signal Processing and Communications Department, Universidad Carlos III de Madrid, Avda. de la Universidad, 30, 28911, Madrid, Spain.
  • José Miguel Moreno
    Computer Science and Engineering Department, Universidad Carlos III de Madrid, Avda. de la Universidad, 30, 28911, Madrid, Spain.
  • Carlos Sevilla-Salcedo
    Department of Signal Processing and Communications, Universidad Carlos III de Madrid, Leganés, Spain. sevisal@tsc.uc3m.es.
  • María Sánchez-Cueto
    Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
  • Manuel J Arroyo
    Clover Bioanalytical Software, Av. del Conocimiento, 41, Granada 18016, Spain.
  • Mark Gutiérrez-Pareja
    Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Dr. Esquerdo, 46, 28007, Madrid, Spain.
  • Vanessa Gómez-Verdejo
    Department of Signal Processing and Communications, Universidad Carlos III de Madrid, Leganés, Spain.
  • Pablo M Olmos
  • Luis Mancera
    Clover Bioanalytical Software, Av. del Conocimiento, 41, Granada 18016, Spain.
  • Patricia Muñoz
    Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
  • Mercedes Marín
    Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
  • Luis Alcalá
    Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón and Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.
  • David Rodríguez-Temporal
    Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
  • Belén Rodríguez-Sánchez
    Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.

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