Year: 2025
Type: article
Abstract: Introduction This study aimed to characterize the genetic diversity and antimicrobial resistance patterns of Campylobacter isolates collected throughout China from 2020 to 2023. Methods Campylobacter isolates analyzed in this study were obtained from the National Pathogen Identification Network Center database, maintained by the National Institute for Infectious Disease Control and Prevention of the Chinese Center for Disease Control and Prevention. Antimicrobial susceptibility testing (AST) was performed against eleven antimicrobial agents. Genomic characteristics were analyzed through comprehensive genome sequence analysis. Results Between 2020 and 2023, the National Pathogen Identification Network documented 1,077 Campylobacter jejuni (C. jejuni) and 221 Campylobacter coli (C. coli) isolates. Most isolates originated from patients presenting with diarrhea. Antimicrobial susceptibility testing was conducted on 634 C. jejuni and 165 C. coli isolates. The tested isolates demonstrated high resistance rates to nalidixic acid (78.22%), ciprofloxacin (78.07%), and tetracycline (71.96%). Longitudinal analysis of antimicrobial susceptibility testing results revealed a declining resistance trend from 2020 to 2023. Whole genome sequences were obtained for 540 C. jejuni and 125 C. coli isolates within the database. Virulence factors and antibiotic resistance determinants were identified using the VFDB and CARD databases, respectively. Phylogenetic relationships were established through Snippy 4.0 software analysis based on core genome comparisons. Conclusions This comprehensive analysis describes the antibiotic resistance profiles and genetic characteristics of Campylobacter isolates collected through the Identification Network Database from 2020 to 2023, establishing a foundational framework for campylobacteriosis control and prevention strategies in China.
Source: China CDC Weekly
Authors: Chang Liu, Hairui Wang, Yixin Gu, Guilan Zhou, Xiaoli Chen, Xin Zhang, Jianzhong Zhang, Zhujun Shao, Maojun Zhang
Language: English
Subfield: Food Science
Domain: Life Sciences
Open Access status: diamond
Award: G828373336
OpenAlex ID: W4411528013