College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, BJ, China.
College of Life Science, Beijing University of Chinese Medicine, Beijing, BJ, China.
Eur J Pharmacol. 2024 Dec 5;984:177016. doi: 10.1016/j.ejphar.2024.177016. Epub 2024 Oct 5.
This study investigated the possible interaction between gut flora and miRNAs and the effect of both on anxiety disorders. The model group was induced with chronic restraint stress (CRS) and each group was tested for anxiety-like behaviour by open field test and elevated plus maze test. Meanwhile, the gut flora was analysed by 16S rRNA high-throughput sequencing. The miRNAs in hippocampus were analysed by high-throughput sequencing, and the key miRNAs were obtained by using the method of bioinformatics analysis. PCR was used to verify the significantly related key miRNAs. Spearman correlation analysis was used to explore the correlation between behaviour, key miRNAs and differential gut microbiota. The 16S rRNA high-throughput sequencing result showed that the gut flora was dysregulated in the model group. In particular, Verrucomicrobia, Akkermansia, Anaerostipes, Ralstonia, Burkholderia and Anaeroplasma were correlated with behaviour. The results of miRNA high-throughput sequencing analysis and bioinformatics analysis showed that 7 key miRNAs influenced the pathogenesis of anxiety, and qRT-PCR results were consistent with the high-throughput sequencing results. Mmu-miR-543-3p and mmu-miR-26a-5p were positively correlated with Verrucomicrobia, Akkermansia and Anaerostipes. Therefore, we infer that chronic stress caused the decrease of Akkermansia abundance, which may aggravate the decrease of mmu-miR-543-3p and mmu-miR-26a-5p expression, leading to the increase of SLC1A2 expression. In conclusion, gut flora has played an important influence on anxiety with changes in miRNAs.
本研究探讨了肠道菌群与 miRNAs 之间可能的相互作用,以及两者对焦虑症的影响。模型组通过慢性束缚应激(CRS)诱导,通过旷场试验和高架十字迷宫试验检测各组焦虑样行为。同时,通过 16S rRNA 高通量测序分析肠道菌群。通过高通量测序分析海马体中的 miRNAs,通过生物信息学分析方法获得关键 miRNAs。通过 PCR 验证显著相关的关键 miRNAs。Spearman 相关性分析用于探索行为、关键 miRNAs 和差异肠道微生物群之间的相关性。16S rRNA 高通量测序结果表明,模型组肠道菌群失调。特别是,厚壁菌门、阿克曼菌属、厌氧棒菌属、罗尔斯通氏菌属、伯克霍尔德菌属和厌氧原体属与行为相关。miRNA 高通量测序分析和生物信息学分析结果表明,7 个关键 miRNAs 影响焦虑症的发病机制,qRT-PCR 结果与高通量测序结果一致。Mmu-miR-543-3p 和 mmu-miR-26a-5p 与厚壁菌门、阿克曼菌属和厌氧棒菌属呈正相关。因此,我们推断慢性应激导致阿克曼菌丰度减少,可能加重 mmu-miR-543-3p 和 mmu-miR-26a-5p 表达减少,导致 SLC1A2 表达增加。综上所述,肠道菌群通过改变 miRNAs 对焦虑症产生了重要影响。