Microbiota-based markers predictive of development of Clostridioides difficile infection

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...

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Autores: Berkell, Matilda, Mysara, Mohamed, Xavier, Basil Britto, van Werkhoven, Cornelis H., Monsieurs, Pieter, Lammens, Christine, Rodríguez-Baño, Jesús
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/138381
Acceso en línea:https://hdl.handle.net/11441/138381
https://doi.org/10.1038/s41467-021-22302-0
Access Level:acceso abierto
Palabra clave:Clostridioides difficile
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spelling Microbiota-based markers predictive of development of Clostridioides difficile infectionBerkell, MatildaMysara, MohamedXavier, Basil Brittovan Werkhoven, Cornelis H.Monsieurs, PieterLammens, ChristineRodríguez-Baño, JesúsClostridioides difficileAntibiotic-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 treat ment 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 enter ococcal 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.Nature Publishing GroupMedicinaUnión Europea2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/138381https://doi.org/10.1038/s41467-021-22302-0reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésNature Communications, 12 (1), 2241.675412https://www.nature.com/articles/s41467-021-22302-0info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1383812026-06-17T12:51:07Z
dc.title.none.fl_str_mv Microbiota-based markers predictive of development of Clostridioides difficile infection
title Microbiota-based markers predictive of development of Clostridioides difficile infection
spellingShingle Microbiota-based markers predictive of development of Clostridioides difficile infection
Berkell, Matilda
Clostridioides difficile
title_short Microbiota-based markers predictive of development of Clostridioides difficile infection
title_full Microbiota-based markers predictive of development of Clostridioides difficile infection
title_fullStr Microbiota-based markers predictive of development of Clostridioides difficile infection
title_full_unstemmed Microbiota-based markers predictive of development of Clostridioides difficile infection
title_sort Microbiota-based markers predictive of development of Clostridioides difficile infection
dc.creator.none.fl_str_mv Berkell, Matilda
Mysara, Mohamed
Xavier, Basil Britto
van Werkhoven, Cornelis H.
Monsieurs, Pieter
Lammens, Christine
Rodríguez-Baño, Jesús
author Berkell, Matilda
author_facet Berkell, Matilda
Mysara, Mohamed
Xavier, Basil Britto
van Werkhoven, Cornelis H.
Monsieurs, Pieter
Lammens, Christine
Rodríguez-Baño, Jesús
author_role author
author2 Mysara, Mohamed
Xavier, Basil Britto
van Werkhoven, Cornelis H.
Monsieurs, Pieter
Lammens, Christine
Rodríguez-Baño, Jesús
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Medicina
Unión Europea
dc.subject.none.fl_str_mv Clostridioides difficile
topic Clostridioides difficile
description 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 treat ment 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 enter ococcal 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.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/138381
https://doi.org/10.1038/s41467-021-22302-0
url https://hdl.handle.net/11441/138381
https://doi.org/10.1038/s41467-021-22302-0
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Nature Communications, 12 (1), 2241.
675412
https://www.nature.com/articles/s41467-021-22302-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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