芹菜素调节PI3K/AKT通路改善癫痫大鼠抑郁行为。

IF 1.7 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Zhanfang Xie, Yang Zhao, Yanhong Wang, Weijuan Song, Ganggang Li
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引用次数: 0

摘要

简介:抑郁症是癫痫的常见合并症,严重影响患者的生活质量。与抑郁和神经退化有关的海马体在癫痫中很脆弱。癫痫发生涉及炎症、氧化应激和神经元损伤,其中PI3K/AKT通路起关键作用。芹菜素(Apigenin, API)是一种存在于水果和蔬菜中的类黄酮,具有神经保护、抗炎和抗细胞凋亡的作用。本研究探讨API在licl -匹罗卡品癫痫大鼠模型中的作用机制,重点关注海马神经发生和PI3K/AKT信号作为潜在的治疗靶点。方法:研究API和丙戊酸钠(VPA)对氯化锂(LiCl)-匹罗卡品诱导的癫痫大鼠抑郁行为和星形胶质细胞的影响。此外,我们还利用网络药理学预测了API治疗癫痫的潜在分子靶点。最后,我们进行了体内实验来验证预测的机制。结果:与对照组相比,API组和VPA组癫痫发作频率和严重程度均有所降低。模型组大鼠抑郁行为明显高于对照组(CON),经VPA和API治疗后抑郁行为明显改善。HE染色显示API和VPA处理均能改善licl -匹罗卡品诱导的细胞核收缩和细胞肿胀。Nissl染色显示,模型组海马CA3区Nissl囊泡减少,但API和VPA处理后神经元更大、更丰富、排列更整齐。模型组大鼠p-PI3K/PI3K、p-AKT/AKT蛋白比值及PI3K、AKT mRNA表达量降低,脑源性神经营养因子(BDNF)和胶质原纤维酸性蛋白(GFAP)显著升高。API和VPA治疗有效地逆转了这些变化。讨论:API可减少licl -匹洛卡品诱导的癫痫大鼠的癫痫发作和抑郁行为,与VPA API相当,API可减轻海马神经元损伤,保存Nissl小体,并通过PI3K/AKT通路抑制星形胶质细胞活化,提示其神经保护和抗炎作用。虽然API有望成为抗癫痫和抗抑郁药物,但需要进一步的研究来证实其对PI3K/AKT的直接调节以及在其他癫痫模型中的疗效。结论:本研究提示API可改善大鼠抑郁并具有抗癫痫作用,其作用机制可能与激活PI3K/AKT通路保护星形胶质细胞有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Apigenin Regulating PI3K/AKT Pathway to Improve Depressive Behavior in Epileptic Rats.

Introduction: Depression is a common comorbidity in epilepsy, significantly impacting patients' quality of life. The hippocampus, linked to depression and neurodegeneration, is vulnerable in epilepsy. Epileptogenesis involves inflammation, oxidative stress, and neuronal damage, with the PI3K/AKT pathway playing a key role. Apigenin (API), a flavonoid in fruits and vegetables, shows neuroprotective, anti-inflammatory, and anti-apoptotic effects. This study investigates API's mechanisms in a LiCl-pilocarpine epileptic rat model, focusing on hippocampal neurogenesis and PI3K/AKT signaling as potential therapeutic targets.

Methods: We studied the effects of API and valproate (VPA) on depressive behavior and astrocytes in Lithium chloride (LiCl)-pilocarpine-induced epileptic rats. Additionally, we predicted the potential molecular targets of API for treating epilepsy using network pharmacology. Finally, we conducted in vivo experiments to validate the predicted mechanism.

Results: In the API and VPA groups, there was a reduction in seizure frequency and seizure severity compared with the control group. The model group showed more depressive behavior than the control (CON) group, and these behaviors improved significantly after VPA and API treatment. HE staining showed that both API and VPA treatment improved LiCl-pilocarpine-induced nuclear contraction and cell swelling. Nissl staining demonstrated that Nissl vesicles in the CA3 region of the hippocampus were decreased in the model group, but the neurons were larger, more abundant, and more neatly arranged after API and VPA treatment. In the model group, the p-PI3K/PI3K and p-AKT/AKT protein ratios and PI3K, AKT mRNA expression were reduced, while brain-derived neurotrophic factor (BDNF) and glial fibrillary acidic protein (GFAP) were markedly increased. API and VPA treatment effectively reversed these changes.

Discussion: API reduces seizures and depressive behaviors in LiCl-pilocarpine-induced epileptic rats, comparable to VPA API mitigates hippocampal neuronal damage, preserves Nissl bodies, and suppresses astrocyte activation via the PI3K/AKT pathway, suggesting neuroprotective and anti-inflammatory effects. While API shows promise as an antiepileptic and antidepressant agent, further studies are needed to confirm its direct modulation of PI3K/AKT and efficacy in other epilepsy models.

Conclusion: Our study suggests that API improves depression in rats and has anti-epilepsy activity, which may be involved in activating the PI3K/AKT pathway to protect astrocytes.

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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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