de Jong Ymke A, Seren Rana M, Ramšak Marčeta Vida, Checa Antonio, Petursdottír Dagbjort H, Badolati Isabella, Moeckel Claudia, Ahmed Osman Omneya, Hell Eva, Huseby Douglas L, Hughes Diarmaid, Wheelock Craig E, Garcia Sarahi L, Udekwu Klas I, Qazi Khaleda R, Sverremark-Ekström Eva
Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden.
Unit of Integrative Metabolomics, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.
BMC Microbiol. 2025 Sep 16;25(1):575. doi: 10.1186/s12866-025-04321-9.
Human microbiota-associated (HMA) models are used to allow in vivo studies of the human gut microbiome and its effects on host physiology. In particular, alterations in early life microbiota have been linked to allergy development during childhood. In this study, we investigated how pools of human microbiota collected from infants with different allergy risk, thrive in mice and their offspring, as well as how they influence the host metabolome.
We used a two-generation HMA mouse model in which dams were colonized with human feces from three groups of infants (n = 19, samples collected during the first 8 weeks of life). In two of the groups, all infants had a strong hereditary risk for allergic disease (n = 12), but only 6 of them developed allergy before 2 years of age. In the third group, which was used as a control, none of the infants had allergic heredity or developed allergy (n = 7). Microbiota trajectories were followed from inoculation to mouse offspring, and metabolic profiles were monitored in several intestinal organs as well as in the serum of the murine offspring.
The human microbiota adapted to the murine host but still presented distinct compositional features, reflecting the original inoculated samples. These microbial differences were mirrored in the mouse offspring metabolome, with group-associated patterns in sphingolipids, acylcarnitines and tryptophan metabolites. Furthermore, the metabolic profiles of the mouse offspring aligned with those observed in fecal water preparations from the corresponding human infant fecal samples.
Our findings highlight the significant impact of early-life microbiota on the host metabolome and show that our two-generation HMA model is suitable for studying microbiota‒metabolome relationships relevant to humans. The differences in microbiota‒metabolome correlations between individuals who develop or do not develop allergic disease suggest that an allergic predisposition might be more multifaceted than previously believed.
人类微生物群相关(HMA)模型用于对人类肠道微生物组及其对宿主生理学的影响进行体内研究。特别是,生命早期微生物群的改变与儿童期过敏症的发展有关。在本研究中,我们调查了从具有不同过敏风险的婴儿中收集的人类微生物群库如何在小鼠及其后代中定殖,以及它们如何影响宿主代谢组。
我们使用了两代HMA小鼠模型,其中母鼠用来自三组婴儿(n = 19,出生后前8周收集的样本)的人类粪便进行定殖。在其中两组中,所有婴儿都有很强的过敏性疾病遗传风险(n = 12),但其中只有6人在2岁前出现过敏。在用作对照的第三组中,没有婴儿有过敏遗传或出现过敏(n = 7)。从接种到小鼠后代追踪微生物群轨迹,并在几个肠道器官以及小鼠后代的血清中监测代谢谱。
人类微生物群适应了小鼠宿主,但仍呈现出独特的组成特征,反映了原始接种样本。这些微生物差异反映在小鼠后代代谢组中,在鞘脂、酰基肉碱和色氨酸代谢物中呈现出与组相关的模式。此外,小鼠后代的代谢谱与相应人类婴儿粪便样本的粪便水制剂中观察到的代谢谱一致。
我们的研究结果突出了生命早期微生物群对宿主代谢组的重大影响,并表明我们的两代HMA模型适用于研究与人类相关的微生物群-代谢组关系。发生或未发生过敏性疾病的个体之间微生物群-代谢组相关性的差异表明,过敏易感性可能比以前认为的更加复杂。