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Fecal host biomarkers predicting severity of Clostridioides difficile infection

Clostridioides difficile is a major cause of health care–associated diarrhea. Severity ranges from mild to life-threatening, but this variability remains poorly understood. Microbiologic diagnosis of C. difficile infection (CDI) is straightforward but offers little insight into the patient’s prognos...

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Autores principales: Golizeh, Makan, Winter, Kaitlin, Roussel, Lucie, Landekic, Marija, Langelier, Mélanie, Loo, Vivian G., Ndao, Momar, Vinh, Donald C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Clinical Investigation 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821589/
https://www.ncbi.nlm.nih.gov/pubmed/33232301
http://dx.doi.org/10.1172/jci.insight.142976
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author Golizeh, Makan
Winter, Kaitlin
Roussel, Lucie
Landekic, Marija
Langelier, Mélanie
Loo, Vivian G.
Ndao, Momar
Vinh, Donald C.
author_facet Golizeh, Makan
Winter, Kaitlin
Roussel, Lucie
Landekic, Marija
Langelier, Mélanie
Loo, Vivian G.
Ndao, Momar
Vinh, Donald C.
author_sort Golizeh, Makan
collection PubMed
description Clostridioides difficile is a major cause of health care–associated diarrhea. Severity ranges from mild to life-threatening, but this variability remains poorly understood. Microbiologic diagnosis of C. difficile infection (CDI) is straightforward but offers little insight into the patient’s prognosis or into pathophysiologic determinants of clinical trajectory. The aim of this study was to discover host-derived, CDI-specific fecal biomarkers involved in disease severity. Subjects without and with CDI diarrhea were recruited. CDI severity was based on Infectious Diseases Society of America/Society for Healthcare Epidemiology of America criteria. We developed a liquid chromatography tandem mass spectrometry approach to identify host-derived protein biomarkers from stool and applied it to diagnostic samples for cohort-wise comparison (CDI-negative vs. nonsevere CDI vs. severe CDI). Selected biomarkers were orthogonally confirmed and subsequently verified in a CDI mouse model. We identified a protein signature from stool, consisting of alpha-2-macroglobulin (A2MG), matrix metalloproteinase-7 (MMP-7), and alpha-1-antitrypsin (A1AT), that not only discriminates CDI-positive samples from non-CDI ones but also is potentially associated with disease severity. In the mouse model, this signature with the murine homologs of the corresponding proteins was also identified. A2MG, MMP-7, and A1AT serve as biomarkers in patients with CDI and define novel components of the host response that may determine disease severity.
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spelling pubmed-78215892021-01-25 Fecal host biomarkers predicting severity of Clostridioides difficile infection Golizeh, Makan Winter, Kaitlin Roussel, Lucie Landekic, Marija Langelier, Mélanie Loo, Vivian G. Ndao, Momar Vinh, Donald C. JCI Insight Research Article Clostridioides difficile is a major cause of health care–associated diarrhea. Severity ranges from mild to life-threatening, but this variability remains poorly understood. Microbiologic diagnosis of C. difficile infection (CDI) is straightforward but offers little insight into the patient’s prognosis or into pathophysiologic determinants of clinical trajectory. The aim of this study was to discover host-derived, CDI-specific fecal biomarkers involved in disease severity. Subjects without and with CDI diarrhea were recruited. CDI severity was based on Infectious Diseases Society of America/Society for Healthcare Epidemiology of America criteria. We developed a liquid chromatography tandem mass spectrometry approach to identify host-derived protein biomarkers from stool and applied it to diagnostic samples for cohort-wise comparison (CDI-negative vs. nonsevere CDI vs. severe CDI). Selected biomarkers were orthogonally confirmed and subsequently verified in a CDI mouse model. We identified a protein signature from stool, consisting of alpha-2-macroglobulin (A2MG), matrix metalloproteinase-7 (MMP-7), and alpha-1-antitrypsin (A1AT), that not only discriminates CDI-positive samples from non-CDI ones but also is potentially associated with disease severity. In the mouse model, this signature with the murine homologs of the corresponding proteins was also identified. A2MG, MMP-7, and A1AT serve as biomarkers in patients with CDI and define novel components of the host response that may determine disease severity. American Society for Clinical Investigation 2021-01-11 /pmc/articles/PMC7821589/ /pubmed/33232301 http://dx.doi.org/10.1172/jci.insight.142976 Text en © 2021 Golizeh et al. http://creativecommons.org/licenses/by/4.0/ This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Article
Golizeh, Makan
Winter, Kaitlin
Roussel, Lucie
Landekic, Marija
Langelier, Mélanie
Loo, Vivian G.
Ndao, Momar
Vinh, Donald C.
Fecal host biomarkers predicting severity of Clostridioides difficile infection
title Fecal host biomarkers predicting severity of Clostridioides difficile infection
title_full Fecal host biomarkers predicting severity of Clostridioides difficile infection
title_fullStr Fecal host biomarkers predicting severity of Clostridioides difficile infection
title_full_unstemmed Fecal host biomarkers predicting severity of Clostridioides difficile infection
title_short Fecal host biomarkers predicting severity of Clostridioides difficile infection
title_sort fecal host biomarkers predicting severity of clostridioides difficile infection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821589/
https://www.ncbi.nlm.nih.gov/pubmed/33232301
http://dx.doi.org/10.1172/jci.insight.142976
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