基于粪便菌群预测小鼠年龄
- ①纳入20只吃标准饲料的C57BL/6J雄鼠，从9周龄开始每月采集粪样至112周，分析5个生命阶段（成熟中、成熟、中年、老年、非常老）的菌群变化；
- ②菌群在一生中持续变化，前半生的变化尤为明显；
- ③后半生中拟杆菌门与厚壁菌门的比值改变，二者丰度变得接近；
- ④拟杆菌ASVs在成熟阶段后保持稳定，而厚壁菌ASVs则较不稳定，有较多的变化和演替；
- ⑤基于菌群建模，可预测吃标准饲料的小鼠年龄，但预测西式饮食饲喂的小鼠年龄时会明显偏大。
主编推荐语
肠道菌群的组成随宿主年龄而改变。Microbiology spectrum发表的这项研究，对C57BL/6J雄性小鼠成年后的粪便菌群变化进行了2年的纵向分析，揭示了不同生命阶段的菌群变化特征，基于菌群组成建立预测小鼠年龄的模型，其准确性受小鼠饮食的影响，在预测用相同饲料喂养的小鼠年龄时有较好的准确性。
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Host Age Prediction from Fecal Microbiota Composition in Male C57BL/6J Mice
在C57BL/6J雄性小鼠中，从粪便菌群组成预测宿主年龄
10.1128/spectrum.00735-22
2022-06-08, Article
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The lifelong relationship between microorganisms and hosts has a profound impact on the overall health and physiology of the holobiont. Microbiome composition throughout the life span of a host remains largely understudied. Here, the fecal microbiota of conventionally raised C57BL/6J male mice was characterized throughout almost the entire adult life span, from “maturing” (9 weeks) until “very old” (112 weeks) age. Our results suggest that microbiota changes occur throughout life but are more pronounced in maturing to middle-age mice than in mice later in life. Phylum-level analysis indicates a shift of the Bacteroidota-to-Firmicutes ratio in favor of Firmicutes in old and very old mice. More Firmicutes amplicon sequence variants (ASVs) were transient with varying successional patterns than Bacteroidota ASVs, which varied primarily during maturation. Microbiota configurations from five defined life phases were used as training sets in a Bayesian model, which effectively enabled the prediction of host age. These results suggest that age-associated compositional differences may have considerable implications for the interpretation and comparability of animal model-based microbiome studies. The sensitivity of the age prediction to dietary perturbations was tested by applying this approach to two age-matched groups of C57BL/6J mice that were fed either a standard or western diet. The predicted age for the western diet-fed animals was on average 27 ± 11 (mean ± standard deviation) weeks older than that of standard diet-fed animals. This indicates that the fecal microbiota-based predicted age may be influenced not only by the host age and physiology but also potentially by other factors such as diet.
First Authors:
Adrian Low
Correspondence Authors:
Henning Seedorf
All Authors:
Adrian Low,Melissa Soh,Sou Miyake,Henning Seedorf
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