Integrated Network Pharmacology and Comprehensive Bioinformatics Identifying the Mechanisms and Molecular Targets of Yizhiqingxin Formula for Treatment of Comorbidity With Alzheimer’s Disease and Depression

药物数据库 相互作用体 计算生物学 生物信息学 重性抑郁障碍 山奈酚 药理学 医学 生物 神经科学 基因 遗传学 生物化学 槲皮素 药品 抗氧化剂 认知
作者
Tingting Zhang,Wei Wei,Surui Chang,Nanyang Liu,Hao Li
出处
期刊:Frontiers in Pharmacology [Frontiers Media SA]
卷期号:13 被引量:12
标识
DOI:10.3389/fphar.2022.853375
摘要

Background: The Yizhiqinxin formula (YZQX) has been used to treat Alzheimer's disease (AD) or major depression disorder (MDD). However, its specific underlying mechanisms and therapeutic targets remain unclear. Methods: The ingredients and putative targets of YZQX were screened using the TCMSP and Drugbank databases. Next, the GEO database was used to retrieve relevant differentially expressed genes (DEGs) in AD or MDD and normal tissues. The PPI network was established, merged, and further screened to identify the main ingredients and core targets of YZQX against AD and MDD comorbidities. We performed enrichment analysis of core targets to identify biological processes and pathways. Finally, AutoDock software was used to validate the binding affinity between the crucial targets of direct action and their corresponding ingredients. Results: A total of 43 ingredients were identified from YZQX, of which 43 were screened to yield 504 targets. By establishing the PPI network, 92 targets were regarded as targets of YZQX against AD and MDD comorbidities in the core network. Promising targets (HSP90AA1, ESR1, AKT1, VCAM1, EGFR, CDK1, MAPK1, CDK2, MYC, HSPB1, and HSPA5) and signaling pathways (PI3K-Akt signaling pathway, ubiquitin-mediated proteolysis, MAPK signaling pathway, etc.) were filtered and refined to elucidate the underlying mechanism of YZQX against AD and MDD comorbidities. Molecular docking confirmed the ingredients of YZQX (quercetin and kaempferol) could bind well to multiple crucial targets. Conclusion: The ingredients of YZQX, such as quercetin and kaempferol, might treat AD and MDD comorbidities by acting on multiple targets and pathways.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
自然秋柳发布了新的文献求助10
1秒前
100完成签到,获得积分10
2秒前
Dudu发布了新的文献求助10
2秒前
科研通AI2S应助二三采纳,获得10
3秒前
hkjing发布了新的文献求助10
7秒前
Akim应助菠菜采纳,获得100
8秒前
华仔应助丰富的小白菜采纳,获得10
9秒前
12秒前
13秒前
科目三应助Dudu采纳,获得30
14秒前
仁爱听露完成签到 ,获得积分10
14秒前
15秒前
18秒前
杨杨完成签到 ,获得积分10
18秒前
YY发布了新的文献求助10
19秒前
xuanyu应助费费采纳,获得30
19秒前
英俊的铭应助淡定小白菜采纳,获得10
19秒前
玉玉发布了新的文献求助10
20秒前
青椒超人关注了科研通微信公众号
20秒前
小殷发布了新的文献求助10
22秒前
刘星宇完成签到,获得积分10
24秒前
倩倩完成签到 ,获得积分10
24秒前
Ava应助小殷采纳,获得10
24秒前
科研雪瑞发布了新的文献求助10
25秒前
格拉希尔完成签到,获得积分10
26秒前
26秒前
26秒前
和风发布了新的文献求助10
26秒前
27秒前
喜悦的板凳完成签到 ,获得积分10
27秒前
白菜包子完成签到,获得积分10
28秒前
想跟博哥打篮球完成签到,获得积分20
30秒前
轩海完成签到 ,获得积分10
30秒前
spinning发布了新的文献求助10
31秒前
31秒前
32秒前
白菜包子发布了新的文献求助10
33秒前
玉玉完成签到,获得积分10
37秒前
英姑应助白菜包子采纳,获得10
37秒前
38秒前
高分求助中
Sustainability in Tides Chemistry 1500
TM 5-855-1(Fundamentals of protective design for conventional weapons) 1000
CLSI EP47 Evaluation of Reagent Carryover Effects on Test Results, 1st Edition 800
Threaded Harmony: A Sustainable Approach to Fashion 799
Livre et militantisme : La Cité éditeur 1958-1967 500
Retention of title in secured transactions law from a creditor's perspective: A comparative analysis of selected (non-)functional approaches 500
"Sixth plenary session of the Eighth Central Committee of the Communist Party of China" 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3055748
求助须知:如何正确求助?哪些是违规求助? 2712398
关于积分的说明 7431409
捐赠科研通 2357400
什么是DOI,文献DOI怎么找? 1248780
科研通“疑难数据库(出版商)”最低求助积分说明 606786
版权声明 596163