Uncovering the effect and mechanism of Jiawei Xiaoyao Wan in treating breast cancer complicated with depression based on network pharmacology and experimental analysis

小桶 乳腺癌 医学 药理学 癌症 生物信息学 癌症研究 肿瘤科 生物 内科学 基因本体论 基因表达 基因 生物化学
作者
Yongtao Bai,Lianjie Niu,Lihua Song,Guoliang Dai,Wenzhou Zhang,Baoxia He,Wenqing San,Shuolei Li
出处
期刊:Phytomedicine [Elsevier]
卷期号:128: 155427-155427 被引量:17
标识
DOI:10.1016/j.phymed.2024.155427
摘要

Depression is a clinically common co-morbidity in breast cancer cases that brings negative outcomes on quality of life and potentially survival. Jiawei Xiaoyao Wan (JXW) is widely used in treating breast cancer and depressive disorder, but its potential pharmacological mechanisms remain elusive. We aimed to explore the dual therapeutic effects and mechanisms of JXW acting on breast cancer complicated with depression (BCCD) by network pharmacology and in vivo experimental verification. The chemical constituents of JXW were characterized using liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (LC-Q-TOF/MS). The targets related to constituents of JXW were predicted by the TCMSP and Swiss Target Prediction databases, and targets of breast cancer and depression were screened by the GeneCards and OMIM databases. Gene Ontology annotation and KEGG enrichment analysis were performed with the DAVID database. Ultimately, a BCCD mouse model induced by chronic restraint stress (CRS) was used to explore therapeutic effects and mechanisms of JXW against BCCD. The efficacy of JXW in the treatment of BCCD was evaluated based on behavioral tests, tumor volume and weight, and pathological examination. Additionally, the underlying mechanisms were explored by measuring the levels of neurotransmitter and inflammatory factors, as well as detecting the expression of genes or proteins associated with candidate targets and the Janus kinase/signal transducer and activator of transcription (JAK/STAT) signaling pathway through RT-PCR, western blotting, and immunohistochemistry. Totals of 108 components were identified in JXW using LC-Q-TOF/MS. By network pharmacology analysis, 714 compound targets of JXW, 2114 breast cancer targets, 1122 depression targets, and 98 overlapping proteins were obtained. PPI network and KEGG analysis implied that TP53, ESR1, VEGFA, AKT1, IL6, TNF, EGFR and the JAK/STAT pathway might be the potential targets of JXW in treating BCCD. In vivo experiments indicated that JXW significantly ameliorated depressive symptoms and tumor progression in BCCD mice. Further mechanistic studies showed that JXW could reduce the levels of inflammatory factors, increase 5-HT level, and regulate mRNA expression levels of TP53, VEGFA, AKT1, IL6, TNF, and EGFR targets. Moreover, the expression levels of proteins related to the JAK2/STAT3 signaling pathway in BCCD mice were effectively regulated by JXW. JXW exerts dual therapeutic effects in a BCCD mouse via multiple targets. The underlying mechanisms might be associated with regulating the levels of neurotransmitter and inflammatory factors; more importantly, the JAK2/STAT3 pathway plays a significant role in this process.
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
刚刚
1秒前
852应助strongfrog采纳,获得10
1秒前
科研通AI6应助清秀送终采纳,获得10
2秒前
2秒前
2秒前
2秒前
CipherSage应助TearMarks采纳,获得10
2秒前
silin完成签到,获得积分10
2秒前
小豆包完成签到,获得积分20
3秒前
xttju2014发布了新的文献求助10
3秒前
3秒前
super完成签到,获得积分20
4秒前
4秒前
Ak完成签到,获得积分0
4秒前
田小班发布了新的文献求助10
5秒前
Irene发布了新的文献求助10
5秒前
认真日记本完成签到 ,获得积分10
5秒前
www发布了新的文献求助10
5秒前
6秒前
桐桐应助哈哈哈哈哈哈采纳,获得10
6秒前
李小莉0419发布了新的文献求助10
6秒前
Ava应助MC采纳,获得10
7秒前
baobaot发布了新的文献求助30
7秒前
7秒前
承乐应助小豆包采纳,获得10
7秒前
英姑应助小豆包采纳,获得10
7秒前
秋寒完成签到,获得积分10
8秒前
量子星尘发布了新的文献求助10
8秒前
斯文败类应助mikiisme采纳,获得10
9秒前
algain完成签到,获得积分10
9秒前
Wizzzzzzzy发布了新的文献求助10
9秒前
necos发布了新的文献求助10
12秒前
12秒前
13秒前
fmx完成签到,获得积分10
13秒前
残剑月发布了新的文献求助10
14秒前
14秒前
weihongjuan发布了新的文献求助10
14秒前
帅气的馒头应助酷炫初雪采纳,获得10
14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
Basic And Clinical Science Course 2025-2026 3000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5608407
求助须知:如何正确求助?哪些是违规求助? 4693040
关于积分的说明 14876313
捐赠科研通 4717445
什么是DOI,文献DOI怎么找? 2544206
邀请新用户注册赠送积分活动 1509230
关于科研通互助平台的介绍 1472836