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A Protocol to Characterize the Morphological Changes of Clostridium difficile in Response to Antibiotic Treatment
Published on: May 25, 2017
Phenotypic and genotypic analysis of Clostridium difficile isolates: a single-center study
Yanjiao Zhou1, Carey-Ann D Burnham2, Tiffany Hink3
1Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA The Genome Institute, Washington University School of Medicine, St. Louis, Missouri, USA.
Clostridium difficile infections (CDI) are increasingly severe. This study found diverse C. difficile strains, with ST-1 being most common and linked to greater disease severity. Whole-genome sequencing offers detailed strain differentiation.
Area of Science:
- Microbiology
- Genetics
- Infectious Diseases
Background:
- Clostridium difficile infections (CDI) represent a significant and growing public health concern due to rising incidence and severity.
- Understanding the genetic diversity of C. difficile strains and their correlation with host factors is crucial for effective management.
Purpose of the Study:
- To investigate the genetic diversity of Clostridium difficile strains in a tertiary care setting.
- To correlate pathogen genotypes with host clinical characteristics and disease severity.
- To evaluate the utility of Multilocus Sequence Typing (MLST) and Whole-Genome Sequencing (WGS) for strain characterization.
Main Methods:
- Collected 46 C. difficile isolates from a tertiary care medical center.
- Employed Multilocus Sequence Typing (MLST) to determine sequence types (STs).
- Utilized Whole-Genome Sequencing (WGS) for detailed genomic analysis, including identifying resistance loci and core genome single nucleotide polymorphisms (SNPs).
Main Results:
- Identified 21 known and 2 novel STs, indicating significant genetic diversity.
- ST-1, corresponding to NAP1/ribotype 027, was the most prevalent (32.6%).
- Binary toxin genes were present in 43.5% of isolates, predominantly within ST-1.
- Observed resistance to ciprofloxacin, clindamycin, and tetracycline, with WGS identifying resistance mechanisms.
- Disease severity was highest in patients infected with ST-1 and/or binary toxin gene-positive strains.
Conclusions:
- MLST and core genome SNP typing provide consistent phylogenetic grouping of C. difficile strains.
- WGS offers enhanced strain differentiation within STs and detailed gene-level analysis.
- ST-1 and binary toxin gene presence are associated with increased CDI severity.
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