Cuscutae Semen in depression-induced ovarian dysfunction: metabolomics with UPLC-QToF-MS in female mice

菟丝子精液在抑郁症诱导的卵巢功能障碍中的作用:采用超高效液相色谱-四极杆飞行时间质谱法(UPLC-QToF-MS)对雌性小鼠进行代谢组学分析

阅读:3
作者:Ying Xie #,Zhaoxiang Zeng #,Jinrong Zhang,Qiangqiang Han,Chengwu Song,Shuna Jin,Min Zhao

Abstract

The increasing prevalence of depression profoundly affects female ovarian health. Although Cuscutae Semen (CS) is acknowledged for treating reproductive disorders, its pharmacological mechanisms in depression-induced ovarian dysfunction remain insufficiently explored. This study investigated CS's effects in a chronic unpredictable mild stress (CUMS) mouse model of depression. Mice were divided into control, CUMS model, CS treatment and estradiol treatment group. Behavioral and biochemical analyses assessed depressive-like behaviors and hormone levels. Untargeted metabolomics utilizing ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry was applied to identify differential metabolites of CS in the treatment of depression-induced ovarian dysfunction. These findings were confirmed through real-time quantitative polymerase chain reaction assays. Based on the outcomes from behavioral and biochemical assays, CS effectively ameliorated the chronic unpredictable mild stress-induced reproductive ailment in mice. Ten differential metabolites were identified, highlighting the impact of CUMS and CS's ameliorative effects. Pathways linked to arachidonic acid metabolism, glycerophospholipid metabolism, linoleic acid metabolism, and steroid hormone biosynthesis were involved. Seven target genes further validated the metabolomic analysis. This study provides strong evidence of CS's therapeutic potential in alleviating depression-induced ovarian dysfunction, shedding light on its pharmacological mechanisms and supporting its use as a functional medical food.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。