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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.
Afiliación
  • Rohana H; The Azrieli Faculty of Medicine, Bar Ilan University, Safed 1311502, Israel.
  • Azrad M; Baruch Padeh Medical Center, Clinical Microbiology Laboratory, Poriya, Tiberias 1528001, Israel.
  • Nitzan O; The Azrieli Faculty of Medicine, Bar Ilan University, Safed 1311502, Israel.
  • Adler A; Baruch Padeh Medical Center, Unit of Infectious Diseases, Poriya, Tiberias 1528001, Israel.
  • Binyamin D; Tel Aviv Sourasky Medical Centre, Microbiology Laboratory, Tel Aviv 6423906, Israel.
  • Koren O; The Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel.
  • Peretz A; The Azrieli Faculty of Medicine, Bar Ilan University, Safed 1311502, Israel.
J Clin Med ; 9(12)2020 Dec 18.
Article en En | MEDLINE | ID: mdl-33353133
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Clin Med Año: 2020 Tipo del documento: Article País de afiliación: Israel

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Clin Med Año: 2020 Tipo del documento: Article País de afiliación: Israel
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