Pan Hang, Paudyal Narayan, Li Xiaoliang, Fang Weihuan, Yue Min
CATG Microbiology & Food Safety Laboratory, Institute of Preventive Veterinary Medicine, College of Animal Sciences of Zhejiang University, Hangzhou, China.
Zhejiang Provincial Key Laboratory of Preventive Veterinary Medicine, Hangzhou, China.
Front Microbiol. 2018 Jan 23;9:23. doi: 10.3389/fmicb.2018.00023. eCollection 2018.
Characterization of transmission routes of among various food-animal reservoirs and their antibiogram is crucial for appropriate intervention and medical treatment. Here, we analyzed 3728 serovar Newport ( Newport) isolates collected from various food-animals, retail meats and humans in the United States between 1996 and 2015, based on their minimum inhibitory concentration (MIC) toward 27 antibiotics. Random Forest and Hierarchical Clustering statistic was used to group the isolates according to their MICs. Classification and Regression Tree (CART) analysis was used to identify the appropriate antibiotic and its cut-off value between human- and animal-population. Two distinct populations were revealed based on the MICs of individual strain by both methods, with the animal population having significantly higher MICs which correlates to antibiotic-resistance (AR) phenotype. Only ∼9.7% (267/2763) human isolates could be attributed to food-animal origins. Furthermore, the isolates of animal origin had less diverse antibiogram than human isolates ( < 0.001), suggesting multiple sources involved in human infections. CART identified trimethoprim-sulfamethoxazole to be the best classifier for differentiating the animal and human isolates. Additionally, two typical AR patterns, MDR-Amp and Tet-SDR dominant in bovine- or turkey-population, were identified, indicating that distinct food-animal sources could be involved in human infections. The AR analysis suggested fluoroquinolones (i.e., ciprofloxacin), but not extended-spectrum cephalosporins (i.e., ceftriaxone, cefoxitin), is the adaptive choice for empirical therapy. Antibiotic-resistant Newport from humans has multiple origins, with distinct food-animal-borne route contributing to a significant proportion of heterogeneous isolates.
确定各种食用动物宿主之间的传播途径及其抗菌谱对于适当的干预措施和医学治疗至关重要。在此,我们分析了1996年至2015年间从美国各种食用动物、零售肉类和人类中收集的3728株纽波特血清型(Newport)分离株,基于它们对27种抗生素的最低抑菌浓度(MIC)。使用随机森林和层次聚类统计方法根据分离株的MIC对其进行分组。使用分类与回归树(CART)分析来确定适用于人类和动物群体的抗生素及其临界值。两种方法均基于单个菌株的MIC揭示了两个不同的群体,动物群体的MIC显著更高,这与抗生素耐药性(AR)表型相关。只有约9.7%(267/2763)的人类分离株可归因于食用动物来源。此外,动物来源的分离株抗菌谱比人类分离株的多样性更低(P<0.001),表明人类感染涉及多种来源。CART确定甲氧苄啶-磺胺甲恶唑是区分动物和人类分离株的最佳分类器。此外,还确定了两种典型的AR模式,即牛或火鸡群体中占主导的多重耐药-氨苄青霉素(MDR-Amp)和四环素-超级耐药(Tet-SDR),表明不同的食用动物来源可能与人类感染有关。AR分析表明,氟喹诺酮类药物(即环丙沙星)而非广谱头孢菌素(即头孢曲松、头孢西丁)是经验性治疗的适应性选择。来自人类的抗生素耐药性纽波特菌株有多个来源,不同的食用动物传播途径导致了很大比例的异质分离株。