Herzog Mathias K-M, Peters Audrey, Shayya Nizar, Cazzaniga Monica, Kaka Bra Kardokh, Arora Trisha, Barthel Manja, Gül Ersin, Maurer Luca, Kiefer Patrick, Christen Philipp, Endhardt Katharina, Vorholt Julia A, Frankel Gad, Heimesaat Markus M, Bereswill Stefan, Gahan Cormac G M, Claesson Marcus J, Domingo-Almenara Xavier, Hardt Wolf-Dietrich
Institute of Microbiology, Department of Biology, ETH Zurich, Zurich, Switzerland.
Department of Life Sciences, MRC Centre for Bacterial Resistance Biology, Imperial College London, London, UK.
Gut Microbes. 2025 Dec;17(1):2447832. doi: 10.1080/19490976.2024.2447832. Epub 2025 Jan 21.
, non-typhoidal spp., and enteropathogenic/enterohemorrhagic (EPEC/EHEC) are leading causes of food-borne illness worldwide. has been used to model EPEC and EHEC infection in mice. The gut microbiome is well-known to affect gut colonization and host responses to many food-borne pathogens. Recent progress has established gnotobiotic mice as valuable models to study how microbiota affect the enteric infections by . Typhimurium, and . However, for , we are still lacking a suitable gnotobiotic mouse model. Moreover, the limited comparability of data across laboratories is often negatively affected by variations between different research facilities or murine microbiotas. In this study, we applied the standardized gnotobiotic OligoMM microbiota mouse model and compared the infections in the same facility. We provide evidence of robust colonization and significant pathological changes in OligoMM mice following infection with these pathogens. Moreover, we offer insights into pathogen-specific host responses and metabolite signatures, highlighting the advantages of a standardized mouse model for direct comparisons of factors influencing the pathogenesis of major food-borne pathogens. Notably, we reveal for the first time that stably colonizes OligoMM mice, triggering inflammation. Additionally, our comparative approach successfully identifies pathogen-specific responses, including the detection of genes uniquely associated with infection in humans. These findings underscore the potential of the OligoMM model as a versatile tool for advancing our understanding of food-borne pathogen interactions.
非伤寒沙门氏菌属以及肠致病性/肠出血性大肠杆菌(EPEC/EHEC)是全球食源性疾病的主要病因。鼠伤寒沙门氏菌已被用于在小鼠中模拟EPEC和EHEC感染。众所周知,肠道微生物群会影响肠道定植以及宿主对许多食源性病原体的反应。最近的进展已将无菌小鼠确立为研究微生物群如何影响鼠伤寒沙门氏菌、大肠杆菌和其他病原体引起的肠道感染的有价值模型。然而,对于其他病原体,我们仍然缺乏合适的无菌小鼠模型。此外,不同实验室之间数据的有限可比性常常受到不同研究设施或小鼠微生物群之间差异的负面影响。在本研究中,我们应用了标准化的无菌OligoMM微生物群小鼠模型,并在同一设施中比较了感染情况。我们提供了这些病原体感染后OligoMM小鼠强大定植和显著病理变化的证据。此外,我们深入了解了病原体特异性的宿主反应和代谢物特征,突出了标准化小鼠模型在直接比较影响主要食源性病原体发病机制因素方面的优势。值得注意的是,我们首次发现[病原体名称]能在OligoMM小鼠中稳定定植,引发炎症。此外,我们的比较方法成功识别了病原体特异性反应,包括检测与人类[病原体名称]感染独特相关的基因。这些发现强调了OligoMM模型作为推进我们对食源性病原体相互作用理解的通用工具的潜力。