背景:产前应激(PS)可导致认知障碍和一系列心理疾病,包括焦虑和抑郁.淫羊藿苷(ICA)在改善PS诱导的抑郁行为方面显示出有希望的效果。然而,其作用机制尚不清楚。
目的:进行这项研究是为了揭示关键目标,ICA的代谢产物和肠道菌群改善PS大鼠幼崽的抑郁行为。
方法:建立妊娠晚期SD大鼠产前束缚应激动物模型。雄性幼崽随机分为6组:无应激组(NS),PS组,PS+生理盐水组(PS_S),PS+高剂量ICA组(ICAH,80mg/kg*天),PS+低剂量ICA组(ICAL,40mg/kg*天)和PS+氟西汀组(FLU,10mg/kg*天)。采用开场试验评价各组幼鼠的抑郁行为,强迫游泳试验和蔗糖偏好试验。使用血清和粪便的非靶向代谢组学鉴定了不同的代谢物,并通过MetaboAnalyst分析代谢途径。应用网络药理学后,确定了ICA对抑郁症的作用靶标。使用Cytoscape软件构建了网络药理学和代谢组学的集成网络,进行分子对接以验证ICA与关键靶标之间的相互作用。最后,16SrDNA测序后分析各组大鼠幼崽的肠道菌群。
结果:PS可能导致幼鼠表现出抑郁行为,ICA可以显著改善这种抑郁行为。在血清中共发现49种差异代谢产物,在粪便中发现23种差异代谢产物,ICA给药后,血清中的24种代谢物和粪便中的6种代谢物可以逆转。综合分析集中在五个关键靶标上(即腺苷同型半胱氨酸酶;中链特异性酰基辅酶A脱氢酶,线粒体;胸苷磷酸化酶;cGMP特异性3',5'-环磷酸二酯酶和黄嘌呤脱氢酶/氧化酶)和三种代谢物(即棕榈酰肉碱,蛋氨酸和次黄嘌呤)。分子对接表明ICA与关键靶标结合良好。肠道菌群分析显示,g_拟杆菌,ICA需要f_拟杆菌科和s_罗伊氏乳杆菌来改善抑郁行为。
结论:在这项研究中,通过整合代谢组学的策略阐明了ICA的抗抑郁机制,网络药理学和肠道菌群。ICA对改善代谢和增加肠道中益生菌的丰度具有良好的作用。本研究为ICA的抗抑郁机制提供了新的见解。
BACKGROUND: Prenatal stress (PS) can cause cognitive disorder and a range of psychological illnesses, including anxiety and depression. Icariin (ICA) has shown promising effects in improving PS-induced depressive behaviour. However, its mechanism of action remains unclear.
OBJECTIVE: This study was performed to reveal the key targets, metabolites and gut microbiota for ICA in improving depressive behaviour in PS rat pups.
METHODS: A prenatal restraint stress animal model was established for Sprague-Dawley (SD) rats in late pregnancy. Male pups were randomly divided into six groups: no stress group (NS), PS group, PS + saline group (PS_S), PS + high-dose ICA group (ICAH, 80 mg/kg*day), PS + low-dose ICA group (ICAL, 40 mg/kg*day) and PS + fluoxetine group (FLU, 10 mg/kg*day). The depressive behaviour of each group of rat pups was evaluated using open field test, forced swimming test and sucrose preference test. Different metabolites were identified using untargeted metabolomics of serum and faeces, and metabolic pathways were analyzed through MetaboAnalyst. Targets for ICA acting on depression were determined after network pharmacology was applied. An integrated network of network pharmacology and metabolomics were constructed using Cytoscape software, and molecular docking were performed to verify the interactions between ICA and key targets. Finally, gut microbiota of rat pups in each group were analyzed after 16S rDNA sequencing.
RESULTS: PS could cause rat pups to exhibit depressive behaviour, and ICA could significantly improve this depressive behaviour. A total of 49 differential metabolites were found in serum and 23 differential metabolites were found in faeces, and 24 metabolites in serum and 6 metabolites in faeces could be reversed following ICA administration. Integrated analysis focused on five key targets (i.e. adenosyl homocysteinase; medium-chain specific acyl-CoA dehydrogenase, mitochondrial; thymidine phosphorylase; cGMP-specific 3\',5\'-cyclic phosphodiesterase and xanthine dehydrogenase/oxidase) and three metabolites (i.e. palmitoylcarnitine, methionine and hypoxanthine). Molecular docking indicated that ICA combined well with key targets. Gut microbiota analysis showed that g_Bacteroides, f_Bacteroidaceae and s_Lactobacillus reuteri were required for ICA to improve depressive behaviour.
CONCLUSIONS: In this study, the antidepressant mechanism of ICA was clarified with a strategy of integrating metabolomics, network pharmacology and gut microbiota. ICA has a good effect on improving metabolism and increasing the abundance of probiotics in the intestine. The present research provided new insights into the anti-depressant mechanism of ICA.