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Characterization of Clostridioides difficile Strains, the Disease Severity, and the Microbial Changes They Induce

Background: Clostridioides difficile infection (CDI) is a major nosocomial disease. The characteristics of different strains, the disease severity they cause, their susceptibility to antibiotics, and the changes they inflict on gut microbiome, have not been comprehensively studied in Israel. Methods...

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Autores principales: Rohana, Hanan, Azrad, Maya, Nitzan, Orna, Adler, Amos, Binyamin, Dana, Koren, Omry, Peretz, Avi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766075/
https://www.ncbi.nlm.nih.gov/pubmed/33353133
http://dx.doi.org/10.3390/jcm9124099
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author Rohana, Hanan
Azrad, Maya
Nitzan, Orna
Adler, Amos
Binyamin, Dana
Koren, Omry
Peretz, Avi
author_facet Rohana, Hanan
Azrad, Maya
Nitzan, Orna
Adler, Amos
Binyamin, Dana
Koren, Omry
Peretz, Avi
author_sort Rohana, Hanan
collection PubMed
description Background: Clostridioides difficile infection (CDI) is a major nosocomial disease. The characteristics of different strains, the disease severity they cause, their susceptibility to antibiotics, and the changes they inflict on gut microbiome, have not been comprehensively studied in Israel. Methods: A severity score was calculated for 70 patients. Stool samples were tested for toxins presence using a special kit. Bacteria were isolated, identified by matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) and antibiotic susceptibility tests were performed for several antibiotics. Strains were classified by Multi-locus sequence typing (MLST), and changes in gut microbiome were tested. Results: ST04 (22.5%) and ST37 (12.7%) were the most frequent strains. Clade (phylogenetic lineage) 1 was the most (81.4%) prevalent. We found significant associations between ST and age (p = 0.024) and between ST and moxifloxacin susceptibility (p = 0.001). At the clade level, we found significant associations with binary toxin gene occurrence (p = 0.002), and with susceptibility to both metronidazole and vancomycin (p = 0.024, 0.035, respectively). Differences in intestine microbiome were affected by age, clades’ distribution and STs. Conclusions: By defining the characteristics of the different strains and clades, clinicians can choose medical interventions based on the predicted response or disease severity associated with each strain, enabling new advances in the field of personalized medicine.
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spelling pubmed-77660752020-12-28 Characterization of Clostridioides difficile Strains, the Disease Severity, and the Microbial Changes They Induce Rohana, Hanan Azrad, Maya Nitzan, Orna Adler, Amos Binyamin, Dana Koren, Omry Peretz, Avi J Clin Med Article Background: Clostridioides difficile infection (CDI) is a major nosocomial disease. The characteristics of different strains, the disease severity they cause, their susceptibility to antibiotics, and the changes they inflict on gut microbiome, have not been comprehensively studied in Israel. Methods: A severity score was calculated for 70 patients. Stool samples were tested for toxins presence using a special kit. Bacteria were isolated, identified by matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) and antibiotic susceptibility tests were performed for several antibiotics. Strains were classified by Multi-locus sequence typing (MLST), and changes in gut microbiome were tested. Results: ST04 (22.5%) and ST37 (12.7%) were the most frequent strains. Clade (phylogenetic lineage) 1 was the most (81.4%) prevalent. We found significant associations between ST and age (p = 0.024) and between ST and moxifloxacin susceptibility (p = 0.001). At the clade level, we found significant associations with binary toxin gene occurrence (p = 0.002), and with susceptibility to both metronidazole and vancomycin (p = 0.024, 0.035, respectively). Differences in intestine microbiome were affected by age, clades’ distribution and STs. Conclusions: By defining the characteristics of the different strains and clades, clinicians can choose medical interventions based on the predicted response or disease severity associated with each strain, enabling new advances in the field of personalized medicine. MDPI 2020-12-18 /pmc/articles/PMC7766075/ /pubmed/33353133 http://dx.doi.org/10.3390/jcm9124099 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rohana, Hanan
Azrad, Maya
Nitzan, Orna
Adler, Amos
Binyamin, Dana
Koren, Omry
Peretz, Avi
Characterization of Clostridioides difficile Strains, the Disease Severity, and the Microbial Changes They Induce
title Characterization of Clostridioides difficile Strains, the Disease Severity, and the Microbial Changes They Induce
title_full Characterization of Clostridioides difficile Strains, the Disease Severity, and the Microbial Changes They Induce
title_fullStr Characterization of Clostridioides difficile Strains, the Disease Severity, and the Microbial Changes They Induce
title_full_unstemmed Characterization of Clostridioides difficile Strains, the Disease Severity, and the Microbial Changes They Induce
title_short Characterization of Clostridioides difficile Strains, the Disease Severity, and the Microbial Changes They Induce
title_sort characterization of clostridioides difficile strains, the disease severity, and the microbial changes they induce
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766075/
https://www.ncbi.nlm.nih.gov/pubmed/33353133
http://dx.doi.org/10.3390/jcm9124099
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