Introduction:Asymptomatic carriers of antibioticresistant Salmonella constitute a significant yet frequently overlooked public health threat.This study aimed to characterize antimicrobial resistance(AMR)patterns in Sa...Introduction:Asymptomatic carriers of antibioticresistant Salmonella constitute a significant yet frequently overlooked public health threat.This study aimed to characterize antimicrobial resistance(AMR)patterns in Salmonella isolated from asymptomatic workers in Yulin,China,over a 12-year period(2013–2024)and to identify the potential influence of natural and socioeconomic factors.Methods:Antimicrobial susceptibility testing was performed against 11 antimicrobial agents.We analyzed temporal trends in AMR rates using the Mann-Kendall test and assessed associations between AMR rates and natural or socioeconomic variables using Spearman’s rank correlation,Principal Component Regression(PCR),and Least Absolute Shrinkage and Selection Operator(LASSO)regression.An Autoregressive Integrated Moving Average(ARIMA)model was employed to forecast future resistance trends.Results:Resistance to tetracycline(TET)was most prevalent(mean rate:66.2%).The overall multidrug resistance(MDR)rate was 41.9%,exhibiting a significant increasing trend(P<0.05).Most alarmingly,the tigecycline(TGC)resistance rate surged from 0%to 24.4%by 2024.PCR model analysis revealed that a composite“Socioeconomic and Healthcare Development Index”served as the primary predictor of this increase,explaining 54.9%of the variance in TGC resistance rates.The ARIMA model forecasted a continued upward trajectory for TGC resistance through 2025–2026.Conclusion:Our findings demonstrate a significant rise in MDR Salmonella among asymptomatic workers in Yulin,establishing them as important reservoirs of antibiotic-resistant Salmonella.The emergence and rapid escalation of TGC resistance is strongly associated with regional socioeconomic and healthcare development.These results underscore the urgent need for integrated surveillance within the One Health framework to effectively address AMR transmission.展开更多
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 ...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 performedagainsteleven 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 and165C.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.展开更多
基金Supported by the National Key Research and Development Program of China(2022YFC2303900)the major projects of the National Natural Science Foundation of China(22193064).
文摘Introduction:Asymptomatic carriers of antibioticresistant Salmonella constitute a significant yet frequently overlooked public health threat.This study aimed to characterize antimicrobial resistance(AMR)patterns in Salmonella isolated from asymptomatic workers in Yulin,China,over a 12-year period(2013–2024)and to identify the potential influence of natural and socioeconomic factors.Methods:Antimicrobial susceptibility testing was performed against 11 antimicrobial agents.We analyzed temporal trends in AMR rates using the Mann-Kendall test and assessed associations between AMR rates and natural or socioeconomic variables using Spearman’s rank correlation,Principal Component Regression(PCR),and Least Absolute Shrinkage and Selection Operator(LASSO)regression.An Autoregressive Integrated Moving Average(ARIMA)model was employed to forecast future resistance trends.Results:Resistance to tetracycline(TET)was most prevalent(mean rate:66.2%).The overall multidrug resistance(MDR)rate was 41.9%,exhibiting a significant increasing trend(P<0.05).Most alarmingly,the tigecycline(TGC)resistance rate surged from 0%to 24.4%by 2024.PCR model analysis revealed that a composite“Socioeconomic and Healthcare Development Index”served as the primary predictor of this increase,explaining 54.9%of the variance in TGC resistance rates.The ARIMA model forecasted a continued upward trajectory for TGC resistance through 2025–2026.Conclusion:Our findings demonstrate a significant rise in MDR Salmonella among asymptomatic workers in Yulin,establishing them as important reservoirs of antibiotic-resistant Salmonella.The emergence and rapid escalation of TGC resistance is strongly associated with regional socioeconomic and healthcare development.These results underscore the urgent need for integrated surveillance within the One Health framework to effectively address AMR transmission.
基金Supported by the National Key Research and Development Program of China(Grant Number 2021YFC2301000)the Capital's Funds for Health Improvement and Research(No.2024-2G-7106).
文摘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 performedagainsteleven 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 and165C.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.
