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Updated: Aug 13, 2026

A Protocol to Characterize the Morphological Changes of Clostridium difficile in Response to Antibiotic Treatment
Published on: May 25, 2017
Molecular epidemiology and characterization of Clostridioides difficile isolates by multilocus sequence typing in
Masoumeh Azimirad1, Zahra Najafi-Olya2, Mohammad Abdehagh3
1Foodborne and Waterborne Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Clostridioides difficile infection (CDI) shows high genetic diversity in Iran, with ST3 being the most common sequence type. Molecular surveillance is crucial for understanding CDI epidemiology and population structure.
Area of Science:
- Microbiology
- Epidemiology
- Genetics
Background:
- Clostridioides difficile infection (CDI) is a significant global health concern, causing healthcare-associated diarrhea and colitis.
- C. difficile exhibits substantial genetic variation across different lineages, impacting disease dynamics.
Purpose of the Study:
- To characterize the genetic diversity of C. difficile isolates in Iran.
- To identify specific sequence types (STs) and clades using multilocus sequence typing (MLST).
Main Methods:
- Utilized multilocus sequence typing (MLST) on seven housekeeping genes for 37 C. difficile isolates.
- Performed PCR to detect toxin-encoding and accessory genes within the pathogenicity locus.
- Employed goeBURST analysis to group sequence types into clades.
Main Results:
- Identified 33 distinct STs, including 28 novel types, with ST3 being the most prevalent.
- Grouped isolates into clade 1 (23 STs) and singletons (14 STs) via goeBURST analysis.
- Found associations between clades/singletons and community-acquired CDI, recurrent CDI, CDI severity, and antibiotic-associated diarrhea.
Conclusions:
- Demonstrated significant genetic heterogeneity among C. difficile isolates in Iran, highlighting ST3 dominance.
- Emphasized the necessity of molecular surveillance for understanding C. difficile epidemiology and population structure in the region.
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