Koh Yen-Chun, Kuo Lee-Han, Tung Yen-Chen, Weerawatanakorn Monthana, Pan Min-Hsiung
Institute of Food Science and Technology, National Taiwan University, Taipei 10617, Taiwan.
Department of Food Science, National Ilan University, Yilan 26041, Taiwan.
ACS Omega. 2023 Sep 21;8(39):36569-36580. doi: 10.1021/acsomega.3c05949. eCollection 2023 Oct 3.
Gut microbial dysbiosis during later life may contribute to health conditions, possibly due to an increase in intestinal permeability, immune changes, and systemic inflammation. Mouse models have been employed to determine the influence of gut microbes on aging; however, suitable gut microbial indicators are currently lacking. Therefore, this study aimed to determine the gut microbial indicators and their potential guilds in a natural aging mouse model. In agreement with previous studies, alpha diversity indices-including observed OTUs, ACE, Chao1, and Simpson-were significantly lower in aged mice than in younger mice. The results of beta diversity analysis revealed the compositional differences between young and aged mice, and the MRPP, ANOSIM, and Adonis tests indicated that the results were representative. By employing ANCOM and LEfSe analyses, () and were identified as the indicators of young and aged mice, respectively. Notably, these indicators were still present after 3 months. The result of network analysis confirmed the negative correlation of these genera in mice, and the potential guild members were identified based on the increased abundance of in aged mice. The gut microbes of aged mice tend to correspond to those involved in human diseases, selenocompound metabolism, and glycolysis/gluconeogenesis in functional predictions. In this study, the gut microbial indicators in aged mice have been identified, and it is envisaged that these findings could provide a new approach for future studies of antiaging.
老年期肠道微生物群落失调可能会导致健康问题，这可能是由于肠道通透性增加、免疫变化和全身炎症所致。小鼠模型已被用于确定肠道微生物对衰老的影响；然而，目前缺乏合适的肠道微生物指标。因此，本研究旨在确定自然衰老小鼠模型中的肠道微生物指标及其潜在群落。与先前的研究一致，老年小鼠的α多样性指数（包括观察到的OTU、ACE、Chao1和Simpson）显著低于年轻小鼠。β多样性分析结果揭示了年轻和老年小鼠之间的组成差异，MRPP、ANOSIM和Adonis检验表明结果具有代表性。通过ANCOM和LEfSe分析，分别确定了（）和（）作为年轻和老年小鼠的指标。值得注意的是，3个月后这些指标仍然存在。网络分析结果证实了这些属在小鼠中的负相关性，并根据老年小鼠中（）丰度的增加确定了潜在的群落成员。在功能预测中，老年小鼠的肠道微生物往往与人类疾病、硒化合物代谢和糖酵解/糖异生相关。在本研究中，已确定了老年小鼠的肠道微生物指标，预计这些发现可为未来的抗衰老研究提供一种新方法。
