Elucidating the mechanisms of Buyang Huanwu Decoction in treating chronic cerebral ischemia: A combined approach using network pharmacology, molecular docking, and in vivo validation

药理学 小桶 免疫印迹 医学 传统医学 生物化学 生物 基因 基因本体论 基因表达
作者
Yue Cao,Wanmei Yao,Tao Yang,Man Yang,Zhuoxiu Liu,Huijuan Luo,Zhuoqing Cao,Ruifeng Chang,Zhiyi Cui,Haojie Zuo,Biwang Liu
出处
期刊:Phytomedicine [Elsevier BV]
卷期号:132: 155820-155820 被引量:42
标识
DOI:10.1016/j.phymed.2024.155820
摘要

OBJECTIVE: This study aimed to explore the potential mechanisms of Buyang Huanwu Decoction (BHD) in regulating the AKT/TP53 pathway and reducing inflammatory responses for the treatment of chronic cerebral ischemia (CCI) using UHPLC-QE-MS combined with network pharmacology, molecular docking techniques, and animal experiment validation. METHODS: Targets of seven herbal components in BHD, such as Astragalus membranaceus, Paeoniae Rubra Radix, and Ligusticum chuanxiong, were identified through TCMSP and HERB databases. CCI-related targets were obtained from DisGeNET and Genecards, with an intersection analysis conducted to determine shared targets between the disease and the herbal components. Functional enrichment analysis of these intersecting targets was performed. Networks of gene ontology and pathway associations with these targets were constructed and visualized. A pharmacological network involving intersecting genes and active components was delineated. A protein-protein interaction network was established for these intersecting targets and visualized using Cytoscape 3.9.1. The top five genes from the PPI network and their corresponding active components underwent molecular docking. Finally, the 2-vessel occlusion (2-VO) induced CCI rat model was treated with BHD, and the network pharmacology findings were validated using Western blot, RT-PCR, behavioral tests, laser speckle imaging, ELISA, HE staining, Nissl staining, LFB staining, and immunohistochemistry and immunofluorescence. RESULTS: After filtration and deduplication, 150 intersecting genes were obtained, with the top five active components by Degree value identified as Quercetin, Beta-Sitosterol, Oleic Acid, Kaempferol, and Succinic Acid. KEGG pathway enrichment analysis linked key target genes significantly with Lipid and atherosclerosis, AGE-RAGE signaling pathway, IL-17 signaling pathway, and TNF signaling pathway. The PPI network highlighted ALB, IL-6, AKT1, TP53, and IL-1β as key protein targets. Molecular docking results showed the strongest binding affinity between ALB and Beta-Sitosterol. Behavioral tests using the Morris water maze indicated that both medium and high doses of BHD could enhance spatial memory in 2-VO model rats, with high-dose BHD being more effective. Laser speckle results showed that BHD at medium and high doses could facilitate CBF recovery in CCI rats, demonstrating a dose-response relationship. HE staining indicated that all doses of BHD could reduce neuronal damage in the cortex and hippocampal CA1 region to varying extents, with the highest dose being the most efficacious. Nissl staining showed that nimodipine and medium and high doses of BHD could alleviate Nissl body damage. LFB staining indicated that nimodipine and medium and high doses of BHD could reduce the pathological damage to fiber bundles and myelin sheaths in the internal capsule and corpus callosum of CCI rats. ELISA results showed that nimodipine and BHD at medium and high doses could decrease the levels of TNF-α, IL-6, IL-17, and IL-1β in the serum of CCI rats (p < 0.05). Immunohistochemistry and immunofluorescence demonstrated that BHD could activate the AKT signaling pathway and inhibit TP53 in treating CCI. Western blot and RT-PCR results indicated that nimodipine and all doses of BHD could upregulate Akt1 expression and downregulate Alb, Tp53, Il-1β, and Il-6 expression in the hippocampus of CCI rats to varying degrees (p < 0.05). CONCLUSION: BHD exerts therapeutic effects in the treatment of CCI by regulating targets, such as AKT1, ALB, TP53, IL-1β, and IL-6, and reducing inflammatory responses.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
没烦恼完成签到,获得积分10
1秒前
李先生发布了新的文献求助10
1秒前
DengLipan应助妮子采纳,获得10
1秒前
今后应助文6采纳,获得10
1秒前
科目三应助忐忑的火龙果采纳,获得10
1秒前
思源应助奋斗的橘子采纳,获得10
2秒前
3秒前
4秒前
ALAI发布了新的文献求助10
4秒前
阔达熊猫发布了新的文献求助10
4秒前
4秒前
Wang77完成签到,获得积分20
4秒前
长欢完成签到 ,获得积分10
6秒前
DengLipan应助Silverexile采纳,获得10
7秒前
小张发布了新的文献求助10
7秒前
7秒前
木子完成签到 ,获得积分10
7秒前
7秒前
可爱的函函应助自然尔风采纳,获得10
8秒前
8秒前
My_magnum_opus应助ys采纳,获得30
8秒前
香蕉觅云应助呆萌致远采纳,获得10
9秒前
9秒前
思源应助白薇采纳,获得10
10秒前
传奇3应助认真的一刀采纳,获得10
10秒前
漂流红枣发布了新的文献求助30
10秒前
11秒前
所所应助Leo采纳,获得10
11秒前
12秒前
12秒前
14秒前
李细细发布了新的文献求助10
14秒前
提纳里完成签到,获得积分10
14秒前
科研通AI6.4应助上岸采纳,获得10
14秒前
XXJ关注了科研通微信公众号
14秒前
星辰大海应助巳月采纳,获得10
15秒前
RRR发布了新的文献求助10
15秒前
My_magnum_opus应助俊逸海豚采纳,获得30
15秒前
15秒前
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7624552
求助须知:如何正确求助?哪些是违规求助? 9199667
关于积分的说明 19723259
捐赠科研通 7195607
什么是DOI,文献DOI怎么找? 3273562
关于科研通互助平台的介绍 2435728
邀请新用户注册赠送积分活动 2269409