College of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.
Guangxi Zhuang Autonomous Region Institute of Product Quality Inspection, Nanning 530200, China.
Nutrients. 2023 Mar 26;15(7):1609. doi: 10.3390/nu15071609.
With an ageing population, healthy longevity is becoming an important scientific concern. The longevity phenomenon is closely related to the intestinal microflora and is highly complicated; it is challenging to identify and define the core gut microbiota associated with longevity. Therefore, in this study, 16S rRNA sequencing data were obtained from a total of 135 faecal samples collected as part of the latest sampling and pre-collection initiative in the Guangxi longevity area, and weighted gene co-expression network analysis (WGCNA) was used to find a mediumpurple3 network module significantly associated with the Guangxi longevity phenomenon. Five core genera, namely, , , , , and , were identified via network analysis and random forest (RF) in this module. Two potential probiotic strains, and , were further isolated and screened from the above five core genera, and then combined and used as an intervention in naturally ageing mice. The results show a change in the key longevity gut microbiota in mice toward a healthy longevity state after the intervention. In addition, the results show that the probiotic combination effectively ameliorated anxiety and necrosis of hippocampal neuronal cells in senescent mice, improving their antioxidant capacity and reducing their inflammation levels. In conclusion, this longer-term study provides a new approach to the search for longevity hub microbiota. These results may also provide an important theoretical reference for the healthification of the intestinal microflora in the general population, and even the remodelling of the structure of the longevity-state intestinal microflora.
随着人口老龄化,健康长寿成为一个重要的科学关注点。长寿现象与肠道微生物群密切相关,且非常复杂;识别和定义与长寿相关的核心肠道微生物群具有挑战性。因此,在这项研究中,我们从广西长寿地区最新采样和预采样计划中收集的 135 个粪便样本中获得了 16S rRNA 测序数据,并使用加权基因共表达网络分析(WGCNA)来寻找与广西长寿现象显著相关的中紫色 3 网络模块。通过网络分析和随机森林(RF)在该模块中鉴定了五个核心属,分别是、、、、和。从上述五个核心属中进一步分离和筛选出两种潜在的益生菌菌株和,并将它们组合并用作自然衰老小鼠的干预措施。结果表明,干预后,小鼠的关键长寿肠道微生物群发生变化,向健康长寿状态转变。此外,结果表明,益生菌组合可有效改善衰老小鼠的焦虑和海马神经元细胞坏死,提高其抗氧化能力并降低其炎症水平。总之,这项长期研究为寻找长寿枢纽微生物群提供了一种新方法。这些结果也可能为改善普通人群肠道微生物群的健康化,甚至长寿状态肠道微生物群结构的重塑提供重要的理论参考。