20232024年上海市宝山区致泻大肠埃希菌分布特征及耐药性分析

Distribution characteristics and antimicrobial resistance analyses of diarrheagenic Escherichia coli in Baoshan District of Shanghai from 2023 to 2024

  • 摘要:
    目的 了解上海市宝山区2023—2024年致泻大肠埃希菌分布特征以及耐药情况,探讨其耐药基因与表型关系,为耐药监测和临床抗菌药物合理使用提供科学依据。
    方法 从宝山区1家综合医院和1家社区医院采集腹泻病样本,经分离培养、生化和质谱鉴定致泻大肠埃希菌。利用聚合酶链反应(PCR)进行亚种分型,采用微量肉汤稀释法进行抗生素敏感性检测,并将全基因组测序结果与CARD耐药数据库比对,分析耐药基因。
    结果 共分离致泻大肠埃希菌60株,包括产毒性大肠埃希菌(ETEC)37株、肠聚集性大肠埃希菌(EAEC)16株和肠致病性大肠埃希菌(EPEC)7株,占比分别为61.66%、26.67%和11.67%,病例主要集中于5—10月,各年龄段均有分布。9株对全部23种抗菌药物敏感,菌株对氨苄西林(AMP)(56.67%)、四环素(TET)(40.00%)、甲氧苄啶/磺胺甲噁唑(SXT)(45.00%)及部分头孢类耐药率较高,31株(51.67%)存在多重耐药(MDR),最常见模式为AMP⁃CFZ⁃SXT⁃TET,5株对超广谱β⁃内酰胺酶(ESBL)耐药。共检测出71种耐药基因,平均每株携带48个,高频基因多为外排泵及调控相关基因(emrK、acrS、acrE等)。EAEC、EPEC和ETEC之间的耐药基因和表型差异无统计学意义,但菌株的耐药基因型与表型并非高度一致,四环素类和叶酸途径抑制剂药物一致性最高(>95%),β⁃内酰胺类、苯丙醇类、喹诺酮和氟喹诺酮类、氨基糖苷类和大环内酯类一致率分别为73.08%、50.00%、25.00%、13.33%和0。
    结论 宝山区大肠埃希菌耐药问题较为严重,多重耐药谱广泛,耐药基因与耐药表型有一定的关联。应加强对耐药基因型和表型的共同监测,在耐药监测中结合基因型与表型进行综合评估,为临床用药及公共卫生防控提供参考。

     

    Abstract:
    Objective To characterize the epidemiology and antimicrobial resistance of diarrheagenic Escherichia coli (DEC) in Baoshan District of Shanghai from 2023 to 2024, to explore the relationship between resistance genes and phenotypes, and to provide evidence for resistance-gene surveillance and rational clinical use of antimicrobial agents.
    Methods Stool specimens of diarrheal patients were collected from one tertiary general hospital and one community hospital in Baoshan District. DEC was identified through isolation and culture, biochemical testing, mass spectrometry, and polymerase chain reaction (PCR). Antimicrobial susceptibility was determined through the broth microdilution method. Resistance genes were profiled through comparing the whole-genome sequencing results with Comprehensive Antibiotic Resistance Database (CARD).
    Results A total of 60 DEC isolates were obtained, including Enterotoxigenic E. coli (ETEC, 37 isolates), Enteroaggregative E. coli (EAEC, 16 isolates), and Enteropathogenic E. coli (EPEC, 7 isolates), accounting for 61.66%, 26.67%, and 11.67%, respectively. Cases clustered mainly from May to October and were distributed across all age groups. Nine isolates were susceptible to all 23 tested antimicrobial agents; the remaining isolates showed high resistance to ampicillin (56.67%), tetracycline (TET) (40.00%), trimethoprim/sulfamethoxazole (SXT) (45.00%), and to certain cephalosporins. Thirty-one isolates (51.67%) were multidrug-resistant (MDR), with the most common pattern being AMP-CFZ-SXT-TET (ampicillin-cefazolin-trimethoprim/sulfamethoxazole-tetracycline). Five isolates were resistant to extended-spectrum β-lactamases (ESBLs). In total, 71 distinct resistance determinants were detected, with a mean of 48 per isolate; high-frequency determinants were mainly efflux pump and regulatory genes (e.g., emrK, acrS, acrE). No statistically significant differences in resistance genotypes or phenotypes were observed among EAEC, EPEC, and ETEC. Genotype-phenotype concordance was not uniformly high; the highest concordance (>95%) was observed for tetracyclines and folate-pathway inhibitors. Concordance rates for β-lactams, phenicols, quinolones and fluoroquinolones, aminoglycosides, and macrolides were 73.08%, 50.00%, 25.00%, 13.33%, and 0, respectively.
    Conclusion Antimicrobial resistance among E. coli in Baoshan District is relatively severe, with widespread multidrug-resistant profiles and a certain correlation between resistance genes and phenotypic resistance. Joint surveillance of both genotypes and phenotypes should be enhanced and integrated assessment should be conducted based on both genotypic data and phenotypic data, so as to provide a reference for clinical treatment and public health prevention and control.

     

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