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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Clinical Investigation
2021
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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. |
format | Online Article Text |
id | pubmed-7821589 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Society for Clinical Investigation |
record_format | MEDLINE/PubMed |
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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