School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, Shaanxi, China.
Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China.
PLoS One. 2024 Oct 18;19(10):e0305583. doi: 10.1371/journal.pone.0305583. eCollection 2024.
There is a growing interest in studying the microbiota associated with aging by integrating multiple longevity researches while minimizing the influence of confounding factors. Here, we reprocessed metagenomic sequencing data from four different aging research studies and evaluated potential confounding factors in order to minimize the batch effect. Subsequently, we detected the diversity and abundance of the gut microbiome in three different age cohorts. Out of 1053 different bacteria species, only four showed substantial depletion across different age groups: Ligilactobacillus ruminis, Turicibacter sp. H121, Blautia massiliensis, and Anaerostipes hadrus. Archaea accumulated more in young individuals compared to elderly and centenarians. Candida albicans was more prevalent in centenarians, but Nakaseomyces glabratus (also known as Candida glabrata) was more common in elderly adults. Shuimuvirus IME207 showed a significant increase in centenarians compared to both control groups. In addition, we utilized a Fisher's exact test to investigate topological properties of differentially abundant microbiota in the co-occurrence network of each age group. Microbial signatures specific to different age stages were identified based on the condition: the reads showing differential abundance were higher compared to the other age groups. Lastly, we selected Methanosarcina sp. Kolksee for the Y group, Prevotella copri for the E group and Shuimuvirus IME207 for the C group as representatives of age-related characteristics to study how their interactions change during the aging process. Our results provide crucial insights into the gut microbiome's ecological dynamics in relation to the aging process.
人们越来越感兴趣的是通过整合多个长寿研究来研究与衰老相关的微生物组,同时最小化混杂因素的影响。在这里,我们重新处理了来自四个不同衰老研究的宏基因组测序数据,并评估了潜在的混杂因素,以最小化批次效应。随后,我们检测了三个不同年龄组的肠道微生物组的多样性和丰度。在 1053 种不同的细菌中,只有 4 种在不同的年龄组中明显减少:Ligilactobacillus ruminis、Turicibacter sp. H121、Blautia massiliensis 和 Anaerostipes hadrus。古菌在年轻个体中的积累量高于老年和百岁老人。白色念珠菌在百岁老人中更为普遍,但 Nakaseomyces glabratus(也称为 Candida glabrata)在老年人群中更为常见。与对照组相比,Shuimuvirus IME207 在百岁老人中显著增加。此外,我们利用 Fisher 精确检验研究了每个年龄组共现网络中差异丰度微生物组的拓扑特性。基于条件识别出不同年龄阶段特有的微生物特征:与其他年龄组相比,显示差异丰度的读数更高。最后,我们选择 Methanosarcina sp. Kolksee 作为 Y 组、Prevotella copri 作为 E 组和 Shuimuvirus IME207 作为 C 组的代表,研究它们在衰老过程中的相互作用如何变化。我们的研究结果为肠道微生物组与衰老过程相关的生态动态提供了重要的见解。