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2022年至2023年匈牙利鹅临床病例分离株的抗菌药敏谱

Antimicrobial Susceptibility Profiles of Isolates from Clinical Cases of Geese in Hungary Between 2022 and 2023.

作者信息

Kerek Ádám, Szabó Ábel, Jerzsele Ákos

机构信息

Department of Pharmacology and Toxicology, University of Veterinary Medicine Budapest, István utca 2, HU-1078 Budapest, Hungary.

National Laboratory of Infectious Animal Diseases, Antimicrobial Resistance, Veterinary Public Health and Food Chain Safety, University of Veterinary Medicine Budapest, István utca 2, HU-1078 Budapest, Hungary.

出版信息

Antibiotics (Basel). 2025 Apr 29;14(5):450. doi: 10.3390/antibiotics14050450.

Abstract

: Antimicrobial resistance (AMR) poses an increasing threat to animal health and food safety. In the poultry sector, particularly in waterfowl farming, the widespread use of antibiotics may contribute to the dissemination of resistant strains. This study aims to map the antibiotic resistance profiles of isolates from geese in Hungary, determine the prevalence of multidrug-resistant (MDR) and extensively drug-resistant (XDR) strains, and analyze resistance patterns and co-resistance relationships. : isolates from clinical cases between 2022 and 2023 were examined using minimum inhibitory concentration (MIC) determination. Susceptibility results were evaluated based on the Clinical Laboratory Standard Institute (CLSI) breakpoints. Cluster analysis and principal component analysis (PCA) were applied to identify resistance patterns. Co-resistance relationships were examined through network analysis, while Monte Carlo simulations were used to estimate the expected prevalence of MDR strains. : Among the examined isolates, neomycin resistance was particularly high (86.8%), while florfenicol (73.6%) and amoxicillin (65.9%) resistance levels were also significant. The prevalence of MDR strains was 86.8%, and XDR strains accounted for 38.5%. Co-resistance analysis revealed a strong correlation between neomycin and spectinomycin resistance, as well as amoxicillin and doxycycline resistance. Monte Carlo simulations estimated that the expected range of MDR strain prevalence could vary between 80.2% and 92.3%. : The high prevalence of MDR and XDR strains highlights the urgent need to reassess antibiotic usage strategies in goose farming. These findings underscore the importance of targeted antibiotic use, continuous microbiological surveillance, and the exploration of alternative therapeutic approaches to mitigate AMR.

摘要

抗菌药物耐药性(AMR)对动物健康和食品安全构成的威胁日益增加。在家禽养殖领域,尤其是水禽养殖中,抗生素的广泛使用可能会促使耐药菌株的传播。本研究旨在绘制匈牙利鹅分离株的抗生素耐药谱,确定多重耐药(MDR)和广泛耐药(XDR)菌株的流行情况,并分析耐药模式和共耐药关系。:使用最低抑菌浓度(MIC)测定法对2022年至2023年临床病例的分离株进行检测。根据临床实验室标准协会(CLSI)的断点评估药敏结果。应用聚类分析和主成分分析(PCA)来识别耐药模式。通过网络分析检查共耐药关系,同时使用蒙特卡罗模拟来估计MDR菌株的预期流行率。:在所检测的分离株中,新霉素耐药率特别高(86.8%),而氟苯尼考(73.6%)和阿莫西林(65.9%)的耐药水平也很高。MDR菌株的流行率为86.8%,XDR菌株占38.5%。共耐药分析显示新霉素和壮观霉素耐药之间以及阿莫西林和强力霉素耐药之间存在很强的相关性。蒙特卡罗模拟估计MDR菌株流行率的预期范围可能在80.2%至92.3%之间。:MDR和XDR菌株的高流行率凸显了重新评估鹅养殖中抗生素使用策略的迫切需要。这些发现强调了针对性使用抗生素、持续进行微生物监测以及探索替代治疗方法以减轻AMR的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65bb/12108276/3382416f58e6/antibiotics-14-00450-g001.jpg

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