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. 2023 Dec 19:14:1323257.
doi: 10.3389/fmicb.2023.1323257. eCollection 2023.

Characterization of community-acquired Clostridioides difficile strains in Israel, 2020-2022

Affiliations

Characterization of community-acquired Clostridioides difficile strains in Israel, 2020-2022

Orna Schwartz et al. Front Microbiol. .

Abstract

Background: The prevalence of community-acquired Clostridioides difficile infection (CA-CDI) has been rising, due to changes in antibiotics prescribing practices, emergence of hypervirulent strains and improved diagnostics. This study explored CA-CDI epidemiology by examining strain diversity and virulence factors of CA-CDI isolates collected across several geographical regions in Israel.

Methods: Stool samples of 126 CA-CDI patients were subjected to PCR and an immunoassay to identify toxin genes and proteins, respectively. Toxin loci PaLoc and PaCdt were detected by whole-genome sequencing (WGS). Biofilm production was assessed by crystal violet-based assay. Minimum inhibitory concentration was determined using the Etest technique or agar dilution. WGS and multi-locus sequence typing (MLST) were used to classify strains and investigate genetic diversity.

Results: Sequence types (ST) 2 (17, 13.5%), ST42 (13, 10.3%), ST104 (10, 8%) and ST11 (9, 7.1%) were the most common. All (117, 92.8%) but ST11 belonged to Clade 1. No associations were found between ST and gender, geographic area or antibiotic susceptibility. Although all strains harbored toxins genes, 34 (27%) produced toxin A only, and 54 (42.9%) strains produced toxin B only; 38 (30.2%) produced both toxins. Most isolates were biofilm-producers (118, 93.6%), primarily weak producers (83/118, 70.3%). ST was significantly associated with both biofilm and toxin production.

Conclusion: C. difficile isolates in Israel community exhibit high ST diversity, with no dominant strain. Other factors may influence the clinical outcomes of CDI such as toxin production, antibiotic resistance and biofilm production. Further studies are needed to better understand the dynamics and influence of these factors on CA-CDI.

Keywords: C. difficile; CDI; MLST; clade; community-acquired C. difficile infection.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Phylogenetic tree of C. difficile strains, based on whole-genome sequencing. The STs are indicated after the strain labels. MLST clades are marked with colored squares: Clade 1 (red), Clade 2 (blue), Clade 4 (purple) and Clade 5 (green). NC_009089 was used as a reference genome for alignment. Tree scale: 0.001. The presence of toxin A and B proteins is marked by green and blue circles, respectively. Resistance to metronidazole or vancomycin is marked by a red or orange square, respectively. A yellow square indicates fidaxomicin MIC≥4 μg/mL.
Figure 2
Figure 2
Distribution of C. difficile toxin expression by isolate ST. The figure presents the percentage of isolates that produced either toxin A, B or both toxins, by ST. C. difficile toxins were detected in fecal samples using the CerTest Clostridium difficile GDH + Toxin A + B combo card test kit.
Figure 3
Figure 3
Distribution of (A) metronidazole, (B) vancomycin, (C) moxifloxacin, (D) fidaxomicin minimum inhibitory concentration (MIC) by C. difficile isolate ST. Antibiotic susceptibility was tested by the Etest method for metronidazole, vancomycin and moxifloxacin, and by the agar dilution assay for fidaxomicin.
Figure 4
Figure 4
Heat map of the minimum inhibitory concentration (MIC) for four antibiotics in relation to 39 sequence types. When a sequence type covered multiple samples, the geometric mean was used to calculate the average MIC.

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