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Microbiota-based markers predictive of development of Clostridioides difficile infection

Author

Listed:
  • Matilda Berkell

    (University of Antwerp)

  • Mohamed Mysara

    (University of Antwerp
    SCK–CEN)

  • Basil Britto Xavier

    (University of Antwerp)

  • Cornelis H. van Werkhoven

    (Utrecht University)

  • Pieter Monsieurs

    (SCK–CEN
    Institute of Tropical Medicine)

  • Christine Lammens

    (University of Antwerp)

  • Annie Ducher

    (Da Volterra)

  • Maria J. G. T. Vehreschild

    (University of Cologne
    German Centre for Infection Research (DZIF), partner site Bonn-Cologne
    Goethe University Frankfurt)

  • Herman Goossens

    (University of Antwerp)

  • Jean de Gunzburg

    (Da Volterra)

  • Marc J. M. Bonten

    (Utrecht University
    Utrecht University)

  • Surbhi Malhotra-Kumar

    (University of Antwerp)

Abstract

Antibiotic-induced modulation of the intestinal microbiota can lead to Clostridioides difficile infection (CDI), which is associated with considerable morbidity, mortality, and healthcare-costs globally. Therefore, identification of markers predictive of CDI could substantially contribute to guiding therapy and decreasing the infection burden. Here, we analyze the intestinal microbiota of hospitalized patients at increased CDI risk in a prospective, 90-day cohort-study before and after antibiotic treatment and at diarrhea onset. We show that patients developing CDI already exhibit significantly lower diversity before antibiotic treatment and a distinct microbiota enriched in Enterococcus and depleted of Ruminococcus, Blautia, Prevotella and Bifidobacterium compared to non-CDI patients. We find that antibiotic treatment-induced dysbiosis is class-specific with beta-lactams further increasing enterococcal abundance. Our findings, validated in an independent prospective patient cohort developing CDI, can be exploited to enrich for high-risk patients in prospective clinical trials, and to develop predictive microbiota-based diagnostics for management of patients at risk for CDI.

Suggested Citation

  • Matilda Berkell & Mohamed Mysara & Basil Britto Xavier & Cornelis H. van Werkhoven & Pieter Monsieurs & Christine Lammens & Annie Ducher & Maria J. G. T. Vehreschild & Herman Goossens & Jean de Gunzbu, 2021. "Microbiota-based markers predictive of development of Clostridioides difficile infection," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-22302-0
    DOI: 10.1038/s41467-021-22302-0
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    Cited by:

    1. Marijana Bosnjak & Avinash V. Karpe & Thi Thu Hao Van & Despina Kotsanas & Grant A. Jenkin & Samuel P. Costello & Priscilla Johanesen & Robert J. Moore & David J. Beale & Yogitha N. Srikhanta & Enzo A, 2023. "Multi-omics analysis of hospital-acquired diarrhoeal patients reveals biomarkers of enterococcal proliferation and Clostridioides difficile infection," Nature Communications, Nature, vol. 14(1), pages 1-16, December.

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