The antitumor mechanisms of Huangqin Houpo decoction and its effect on chemotherapy-induced toxicity in colorectal cancer

结直肠癌 毒性 汤剂 药理学 医学 癌症研究 癌症 肝毒性 机制(生物学) 化学
作者
Zejing Qiu,Xiaoqing Gu,Quan Gao,Yanlin Huang,Yingying Ren,Jun He,Xiaochen Sun,Shurong Qu,Lei Zheng,Junzi Xufeng,Min Chen,Xinbing Sui
出处
期刊:Phytomedicine [Elsevier BV]
卷期号:150: 157424-157424 被引量:1
标识
DOI:10.1016/j.phymed.2025.157424
摘要

BACKGROUND: Huangqin Houpo decoction (HQHPD) exhibits the significant therapeutic efficacy for the treatment of colorectal cancer (CRC) patients; however, its specific pharmacological targets and molecular mechanisms remain largely unclear. The complexity of traditional Chinese medicine (TCM) formula poses tough challenges for conventional approaches that focus on isolating primary active components to elucidate therapeutic mechanisms, because these methods often ignore the synergistic interactions among those constituents. An innovative network pharmacology approach, which investigates therapeutic mechanisms holistically, will offer us better understanding for the efficacy of HQHPD. METHODS: In previous study, we identified the active components of HQHPD using high-performance liquid chromatography-mass spectrometry (HPLC-MS). In this study, the molecular targets of these active components were firstly retrieved from multiple databases to construct a comprehensive target profile. Secondly, these targets were integrated with transcriptomic data from TCGA and GEO datasets to establish a robust analytical framework. Then, the current study developed a prognostic model for CRC and employed GSEA, immune function evaluation, and immune infiltration algorithms to elucidate the antitumor potential of HQHPD. Finally, flow cytometry was performed to validate the regulatory effects of HQHPD on regulatory T cells (Tregs). To further elucidate the therapeutic mechanisms, we employed an integrated network toxicology and pharmacology strategy to identify shared molecular targets among chemotherapeutic drugs, CRC, and HQHPD. A protein-protein interaction (PPI) network, constructed using the STRING database, mapped key molecular hubs associated with toxicity amelioration. Subsequently, molecular docking was performed to validate binding interactions between HQHPD components and critical network targets. Additionally, 16S rRNA sequencing was utilized to investigate the role of gut microbiota in mediating the therapeutic effects of HQHPD's key compounds on diarrhea. RESULTS: A total of 2642 target genes associated with the blood-absorbed components of HQHPD were identified. Through LASSOCox and multivariate Cox regression analyses, 11 core prognostic genes were found: GDF15, PTH1R, CXXC5, DDIT3, FDFT1, DRD4, CLK1, S1PR5, ULK3, HDC, and INHBB. These genes were employed to construct a predictive model for tumor patient prognosis and a candidate machine learning framework for evaluating the efficacy of HQHPD. The resulting model exhibited robust prognostic accuracy across training, testing, and independent external validation cohorts. GSEA data indicated that the pathways activated in the high-risk group were predominantly oncogenic factors. Analyses of immune function and infiltration revealed a significant suppression of immune cells in high-risk group. In vivo model, HQHPD significantly inhibited tumor growth in a dose-dependent manner. Additionally, flow cytometry analysis confirmed that HQHPD reduced Tregs. For chemotherapy-related toxicities, network toxicology and pharmacology analyses indicated that diarrhea and myelosuppression induced by 5-fluorouracil (5-FU) and irinotecan were associated with the PI3K/Akt signaling pathway, with TP53, AKT1, and SRC. The components from HQHPD appeared to bind to these toxicity targets, potentially alleviating chemotherapy-related adverse effects. Furthermore, HQHPD alleviated chemotherapy-induced diarrhea, which might be attributed to its modulation of the gut microbiota, characterized by an increased abundance of beneficial bacteria (e.g., Lachnospiraceae_NK4A136) and a reduction in pathogenic bacteria (e.g., Salmonella, Shewanella). This modulation also promoted the growth of short-chain fatty acid (SCFA)-producing bacterial taxa, including Lachnospiraceae, Ruminococcaceae, and Oscillibacter. CONCLUSIONS: This study established an integrated model "multicomponents-multitargets-multiactivities" and offered a theoretical framework to elucidate its molecular mechanisms of antitumor and alleviating chemotherapy-induced toxicities in CRC patients.
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
MangoPie完成签到 ,获得积分10
刚刚
梅特卡夫完成签到,获得积分10
1秒前
含光完成签到,获得积分10
1秒前
廉泽完成签到,获得积分10
2秒前
真实的画板完成签到 ,获得积分10
2秒前
3D完成签到 ,获得积分10
2秒前
威哥发布了新的文献求助10
3秒前
沉静的乘风完成签到,获得积分10
4秒前
bclddmy完成签到,获得积分10
7秒前
威哥完成签到,获得积分10
14秒前
韩野完成签到,获得积分10
16秒前
benyu完成签到,获得积分10
16秒前
夏天的冬瓜应助panpan111采纳,获得10
18秒前
背包客完成签到 ,获得积分10
22秒前
锅包又完成签到 ,获得积分10
22秒前
感动谷冬完成签到,获得积分20
23秒前
不回首完成签到 ,获得积分10
24秒前
插线板完成签到 ,获得积分10
27秒前
RATHER完成签到,获得积分10
27秒前
科研通AI6.2应助程佳运采纳,获得10
32秒前
JUZI完成签到,获得积分10
33秒前
Forever完成签到 ,获得积分10
34秒前
Ying完成签到,获得积分10
35秒前
韭菜盒子完成签到,获得积分10
35秒前
不安丹云完成签到,获得积分10
39秒前
41秒前
醋酸异丙酯完成签到 ,获得积分10
42秒前
42秒前
zhooooooou完成签到,获得积分10
45秒前
青己完成签到 ,获得积分10
45秒前
shjyang发布了新的文献求助10
46秒前
完犊子完成签到,获得积分10
47秒前
科目三应助zhooooooou采纳,获得10
49秒前
受伤问凝完成签到 ,获得积分10
50秒前
隐形荟完成签到 ,获得积分10
51秒前
斯文麦片完成签到 ,获得积分0
51秒前
今后应助00采纳,获得10
51秒前
科研通AI6.2应助sanhaoxuesheng采纳,获得10
52秒前
54秒前
fxw完成签到,获得积分10
54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
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Neuroscience of Language 400
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 400
Too Much of Two Good Things: Investment Protection and Environmental Protection in International Law 260
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 7673513
求助须知:如何正确求助?哪些是违规求助? 9239995
关于积分的说明 19903290
捐赠科研通 7243117
什么是DOI,文献DOI怎么找? 3285574
关于科研通互助平台的介绍 2443692
邀请新用户注册赠送积分活动 2287851