菟丝子黄酮类抗抑郁药对小鼠微生物组和代谢组的影响。

The effects of a semen cuscutae flavonoids-based antidepressant treatment on microbiome and metabolome in mice.

作者信息

Shao Qianfeng, Zhou Sheng, Li Yue, Jin Lin, Fu Xiaowei, Liu Tong, Wang Jing, Du Shaohui, Chen Che

机构信息

Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.

The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.

出版信息

Front Microbiol. 2025 May 15;16:1558833. doi: 10.3389/fmicb.2025.1558833. eCollection 2025.

Abstract

BACKGROUND

Depression is a prevalent psychiatric disorder and one of the leading causes of disability worldwide. Previous studies have shown that Semen Cuscutae flavonoids (SCFs) exert antidepressant effects by modulating the microbiota-neuroinflammation axis and ameliorating hippocampal metabolic disturbances. However, the impact of SCFs on gut microbiota and related metabolomics remains largely undefined. Given that the gut microbiota has been proven to play a significant role in the etiology of depression and serves as a promising target for its treatment in humans, this study aims to elucidate the antidepressant effects of SCFs and to investigate how they modulate microbial and metabolic pathways to alleviate depressive symptoms.

MATERIALS AND METHODS

Chronic unpredictable mild stress (CUMS)-induced mice were used as a depression model. The normal mice and CUMS-induced mice were treated with either vehicle or with SCFs. A range of standardized behavioral assays and physiological indicators were employed to evaluate the antidepressant effects of SCFs. Upon the confirmation of the effectiveness of the SCFs treatment, the composition, richness, and diversity of the fecal microbiota were assessed using 16S rRNA gene sequencing. Additionally, fecal metabolic profiling was analyzed using UHPLC-MS/MS-based metabolomics. Multivariate data analysis was subsequently performed to identify differential metabolites and characterize alterations in fecal metabolites. Furthermore, a correlation analysis between differential metabolites and key microbiota was conducted.

RESULTS

SCFs significantly ameliorated depressive behaviors and the dysregulated diversity of fecal microbiota induced by CUMS. SCFs enhanced the gut microbiota structure in the CUMS group by increasing the / ratio, significantly elevating the abundance of , and while reducing the abundance of and in CUMS-treated mice. Fecal metabolomics analyses revealed that SCFs could modulate metabolic pathways, including aldosterone synthesis and secretion, arachidonic acid metabolism, and primary bile acid biosynthesis.

CONCLUSIONS

Mice with depression induced by CUMS exhibited disturbances in both their gut microbiota and fecal metabolism. However, SCFs restored the balance of the microbial community and corrected metabolic disturbances in feces, exerting antidepressant effects through a multifaceted mechanism.

摘要

背景

抑郁症是一种常见的精神障碍,也是全球致残的主要原因之一。先前的研究表明,菟丝子黄酮(SCFs)通过调节微生物群-神经炎症轴和改善海马体代谢紊乱发挥抗抑郁作用。然而,SCFs对肠道微生物群和相关代谢组学的影响在很大程度上仍不明确。鉴于肠道微生物群已被证明在抑郁症的病因中起重要作用,并成为人类抑郁症治疗的一个有前景的靶点,本研究旨在阐明SCFs的抗抑郁作用,并研究它们如何调节微生物和代谢途径以减轻抑郁症状。

材料与方法

将慢性不可预测轻度应激(CUMS)诱导的小鼠用作抑郁症模型。正常小鼠和CUMS诱导的小鼠分别用赋形剂或SCFs处理。采用一系列标准化行为测定和生理指标来评估SCFs的抗抑郁作用。在确认SCFs治疗的有效性后,使用16S rRNA基因测序评估粪便微生物群的组成、丰富度和多样性。此外,使用基于超高效液相色谱-串联质谱(UHPLC-MS/MS)的代谢组学分析粪便代谢谱。随后进行多变量数据分析以鉴定差异代谢物并表征粪便代谢物的变化。此外,还进行了差异代谢物与关键微生物群之间的相关性分析。

结果

SCFs显著改善了CUMS诱导的抑郁行为和粪便微生物群失调的多样性。SCFs通过增加/比值增强了CUMS组的肠道微生物群结构,显著提高了在CUMS处理小鼠中的丰度,同时降低了和的丰度。粪便代谢组学分析表明,SCFs可以调节代谢途径,包括醛固酮合成和分泌、花生四烯酸代谢和初级胆汁酸生物合成。

结论

CUMS诱导的抑郁症小鼠在肠道微生物群和粪便代谢方面均表现出紊乱。然而,SCFs恢复了微生物群落的平衡并纠正了粪便中的代谢紊乱,通过多方面机制发挥抗抑郁作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d947/12119544/803e0b157970/fmicb-16-1558833-g0001.jpg

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