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Clostridium perfringens (C. perfringens) is ubiquitously distributed across diverse environments, including soil, water, and animal gastrointestinal tracts (1). Based on the differential production of four major extracellular toxins (α, β, ε, and ι), toxin-producing strains are classified into five distinct toxinotypes (A through E) (2). Among these, Type F C. perfringens is particularly significant due to its cpe gene, which encodes enterotoxin CPE and is associated with non-foodborne gastrointestinal diseases (3–4). Type F C. perfringens has been implicated in large-scale diarrheal outbreaks, with strains harboring both plc and cpe genes identified in cases such as those reported in Beijing (5). Global epidemiological data indicate that Type F C. perfringens accounts for a substantial proportion of foodborne disease outbreaks in both developed and developing nations (4). In the United States alone, Type F food poisoning affects approximately 1 million individuals annually, resulting in economic losses exceeding $310 million (6). These infections can prove fatal even in otherwise healthy individuals (7).
The extensive deployment of antimicrobial agents has escalated antibiotic resistance among C. perfringens strains. Resistance mechanisms include β-lactamase production, multidrug efflux pumps, and plasmid-mediated gene transfer (8). Agricultural isolates demonstrate high resistance to multiple antibiotics, particularly tetracyclines and fluoroquinolones (9). In China, 13.8% of C. perfringens isolates exhibit resistance to six antibiotics, with 54.4% harboring multiple resistance genes (10). Similar multidrug resistance patterns have been documented globally, significantly impacting both animal and human health (11-12).
The investigation of Type F C. perfringens is therefore crucial, particularly in the context of diarrheal illness. Beyond its role in widespread foodborne outbreaks, this strain’s capacity to cause severe gastrointestinal disorders represents a significant public health concern. This study aims to elucidate the molecular epidemiology and pathogenic mechanisms of Type F C. perfringens in patients across 11 provincial-level administrative divisions (PLADs) in China, employing bioinformatics analysis to characterize resistance and virulence genes. This comprehensive approach is essential for addressing the challenges posed by C. perfringens and protecting both animal and human health.
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From January 2 to May 28, 2024, we conducted a cross-sectional study to determine C. perfringens prevalence among inpatients at 11 provincial hospitals across China. The study included hospitals in Shandong (n=230), Guangxi (n=100), Henan (n=196), Gansu (n=190), Shaanxi (n=243), Fujian (n=238), Hunan (n=104), Guangdong (n=177), Jilin (n=200), Jiangxi (n=300), and Zhejiang (n=350) PLADs. Participating departments included Gastroenterology and Neurology. A total of 2,068 fecal or rectal swab samples were collected using ESwabTM collection kits (Copan, Brescia, Italy). For C. perfringens isolation, we processed either a small fecal sample or 0.2 mL of transport medium with 50% ethanol, followed by centrifugation and plating on TSC agar for anaerobic incubation. Suspected colonies underwent further purification on blood agar and definitive identification using MALDI-TOF MS (Bruker Daltonik GmbH, Bremen, Germany).
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Antimicrobial susceptibility testing of C. perfringens isolates was performed using the Etest method following Clinical & Laboratory Standards Institute (CLSI) guidelines (M100-S29:2019). Nine antimicrobial agents were evaluated: metronidazole, penicillin, amoxicillin, tetracycline, ciprofloxacin, cefoxitin, linezolid, clindamycin, and erythromycin. For erythromycin and ciprofloxacin testing, we applied breakpoints equivalent to clindamycin and fluoroquinolones, respectively, due to the absence of specific CLSI guidelines for C. perfringens. C. perfringens ATCC 13124TM served as the quality control strain.
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Genomic DNA extraction was performed using PureLink Genomic DNA Mini Kit (Invitrogen, Carlsbad, CA, USA). DNA libraries were indexed using TruSeq DNA PCR-free Sample Preparation Kit (Illumina, Inc., San Diego, CA) and sequenced on the Illumina HiSeq X Ten System, generating 300-bp paired-end reads with minimum 150-fold coverage per isolate. Raw reads underwent trimming and assembly using SPAdes v3.11.1, followed by targeted analysis of AMR and virulence genes using ABRicate against relevant databases, employing thresholds of >90% identity and >75% coverage.
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Type F C. perfringens isolates were retrieved from the National Center for Biotechnology Information (NCBI) database on August 27, 2024, using specific search criteria: “Toxin_genotypes: cpe & plc” and “species_taxid:1502.” 91 Type F C. perfringens isolates, with their sources, countries of origin, and accession numbers are documented in Table 1 (13). Single-nucleotide polymorphisms (SNPs) were identified through sequence alignment using Snippy v4.6.0 (https://github.com/tseemann/snippy) (14), which generated a core genome alignment profile. Pairwise SNP distances were calculated using Snp-dists v0.6. We constructed a phylogenetic tree based on core-genome SNPs using Parsnp within the Harvest suite, with midpoint rooting and visualization enhanced through iTOL v6.25 (15).
Toxins Gene Toxin name Alternative name Mechanism of pathogenicity 1 Typing toxins plc/cpa Phospholipase α-toxin Disruption of cell membrane 2 cpb β-toxin − Pore-formation 3 etx ε-toxin − Pore-formation 4 iap ι-toxin component Ia − Cytoskeleton disruption 5 ibp ι-toxin component Ib − Cytoskeleton disruption 6 cpe Enterotoxin (CPE) − Pore-formation and tight-junction disintegration 7 Non-typing toxins netB NetB − Pore-formation 8 cpb2 β2 toxin − Pore-formation 9 lam λ-toxin − Potent protease 10 pfo/pfoA Perfringolysin O θ-toxin Pore-formation 11 cpd δ-toxin − Pore-formation 12 ccp Clostripain − Digestion of collagen 13 colA Microbial collagenase κ-toxin Digestion of collagen 14 nanI Sialidase − Mucolysis 15 nanJ Exo-α-sialidase − Mucolysis 16 nanH Neuraminidase − Mucolysis 17 nagH Hyaluronidase μ-toxin Digestion of connective tissue 18 tpeL Glucosylating toxin − Induction of apoptosis 19 becA Binary Enterotoxin Component A − Pore-formation 20 becB Binary Enterotoxin Component B − Pore-formation 21 netE NetE − Pore-formation 22 netF NetF − Pore-formation 23 netG NetG − Pore-formation Note: “−” means no alternative toxins. Table 1. Updated summary of the pathogenicity mechanisms of the currently identified/ characterized Clostridium perfringens toxins.
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Clinical data were extracted from the hospital information system. We employed the Wilcoxon test to analyze differences in antimicrobial resistance and virulence genes, while Pearson chi-square and Fisher’s exact tests were used to evaluate statistical significance (P<0.05) in gene frequencies and resistance phenotypes.
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All supporting data for this study are included in this article and its Supplementary Information. The genome assemblies of C. perfringens have been deposited in NCBI under BioProject accession number PRJNA1154412. Additional data are available from the corresponding authors upon reasonable request.
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Sample Collection
Antimicrobial Susceptibility Testing
Whole-Genome Sequencing (WGS) and Analysis
Phylogenetic Analysis
Statistical Analysis
Data Availability
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