Exploring the dynamic relationship between antimicrobial resistance, virulence fitness, and host responses in Listeria monocytogenes infections

探索单核细胞增生李斯特菌感染中抗菌素耐药性、毒力适应性和宿主反应之间的动态关系

阅读:1

Abstract

Listeriosis is a severe zoonotic disease caused by Listeria monocytogenes (L. monocytogenes), which can be acquired through animal source foods. This pathogen shows unique virulence fitness allowing it to penetrate and survive inside host cells causing extremely dangerous symptoms. Therefore, we aimed to correlate the clinical outcomes with the antimicrobial resistance and virulence profiles of L. monocytogenes. This is crucial for improving disease management, developing new therapeutic strategies, enhancing public health and food safety, and advancing scientific knowledge. Therefore, we assessed the antimicrobial resistance and virulence profiles of L. monocytogenes isolated from various sources, along with their potential to cause disease, using an in vivo rabbit model. Based on identification criteria, 47 L. monocytogenes isolates (15.7%) were recovered with the highest detection rates among rabbits (22%). Unfortunately, all the investigated isolates showed multidrug resistance (MDR) as well as multi-virulent profiles with 45 highly heterogeneous clusters. Noteworthy, the degree of illnesses of the experimentally infected rabbits was dependent on the virulence profiles. Specific nervous manifestations and severe histopathological alterations were observed in experimental rabbits infected with highly virulent isolates confirming that the potential ability of this pathogen to produce a disease is not always decipherable from its virulence arrays. Finally, it was confirmed that managing infections caused by L. monocytogenes has become increasingly challenging due to its high antimicrobial resistance, strong virulence, and the severe pathological effects linked to its virulence factors.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。