网络毒理学在中药安全性评价中的应用及发展趋势。

IF 5.4 2区 医学 Q1 CHEMISTRY, MEDICINAL Journal of ethnopharmacology Pub Date : 2025-03-13 Epub Date: 2025-02-11 DOI:10.1016/j.jep.2025.119480
Xiaoyan Li, Lishan Lin, Li Pang, Ke Pu, Jiayue Fu, Yushan Shen, Wenjing Zhang, Huiyun Xu, Yinbo Niu
{"title":"网络毒理学在中药安全性评价中的应用及发展趋势。","authors":"Xiaoyan Li,&nbsp;Lishan Lin,&nbsp;Li Pang,&nbsp;Ke Pu,&nbsp;Jiayue Fu,&nbsp;Yushan Shen,&nbsp;Wenjing Zhang,&nbsp;Huiyun Xu,&nbsp;Yinbo Niu","doi":"10.1016/j.jep.2025.119480","DOIUrl":null,"url":null,"abstract":"<div><h3>Ethnopharmacological relevance</h3><div>Integrating network toxicology into traditional Chinese medicine toxicology boosts the efficiency and comprehensiveness of safety evaluations for these medicines.</div></div><div><h3>Aim of the study</h3><div>This paper aims to deepen the comprehension of network toxicology and facilitate its application in the safety evaluation of traditional Chinese medicines.</div></div><div><h3>Materials and methods</h3><div>Using “network pharmacology,” “network toxicology,” and “traditional Chinese medicine” as keywords, relevant literature was searched in databases such as Web of Science, PubMed, and CNKI. The cited literature spans from 1999 to 2024.</div></div><div><h3>Results</h3><div>Network toxicology constructs a “toxicity-gene-target-drug” network model to characterize the toxicological features of the research subject. This paper reviews existing toxicity prediction tools and databases, explores methodologies for toxicity prediction, and comprehensively summarizes the applications of network toxicology in the prediction of harmful components, analysis of toxicity mechanisms, integration of interdisciplinary approaches, and combination with omics technologies. Additionally, it analyzes the current challenges and limitations of network toxicology.</div></div><div><h3>Conclusions</h3><div>Network toxicology has been extensively utilized in the safety research of traditional Chinese medicine, particularly in identifying toxic components and elucidating their mechanisms. However, there remains significant space for advancement. Future research could investigate integrating network toxicology with cutting-edge technologies like artificial intelligence and multi-omics approaches, thereby offering robust theoretical foundations for developing a comprehensive traditional Chinese medicine safety evaluation system.</div></div>","PeriodicalId":15761,"journal":{"name":"Journal of ethnopharmacology","volume":"343 ","pages":"Article 119480"},"PeriodicalIF":5.4000,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application and development trends of network toxicology in the safety assessment of traditional Chinese medicine\",\"authors\":\"Xiaoyan Li,&nbsp;Lishan Lin,&nbsp;Li Pang,&nbsp;Ke Pu,&nbsp;Jiayue Fu,&nbsp;Yushan Shen,&nbsp;Wenjing Zhang,&nbsp;Huiyun Xu,&nbsp;Yinbo Niu\",\"doi\":\"10.1016/j.jep.2025.119480\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Ethnopharmacological relevance</h3><div>Integrating network toxicology into traditional Chinese medicine toxicology boosts the efficiency and comprehensiveness of safety evaluations for these medicines.</div></div><div><h3>Aim of the study</h3><div>This paper aims to deepen the comprehension of network toxicology and facilitate its application in the safety evaluation of traditional Chinese medicines.</div></div><div><h3>Materials and methods</h3><div>Using “network pharmacology,” “network toxicology,” and “traditional Chinese medicine” as keywords, relevant literature was searched in databases such as Web of Science, PubMed, and CNKI. The cited literature spans from 1999 to 2024.</div></div><div><h3>Results</h3><div>Network toxicology constructs a “toxicity-gene-target-drug” network model to characterize the toxicological features of the research subject. This paper reviews existing toxicity prediction tools and databases, explores methodologies for toxicity prediction, and comprehensively summarizes the applications of network toxicology in the prediction of harmful components, analysis of toxicity mechanisms, integration of interdisciplinary approaches, and combination with omics technologies. Additionally, it analyzes the current challenges and limitations of network toxicology.</div></div><div><h3>Conclusions</h3><div>Network toxicology has been extensively utilized in the safety research of traditional Chinese medicine, particularly in identifying toxic components and elucidating their mechanisms. However, there remains significant space for advancement. Future research could investigate integrating network toxicology with cutting-edge technologies like artificial intelligence and multi-omics approaches, thereby offering robust theoretical foundations for developing a comprehensive traditional Chinese medicine safety evaluation system.</div></div>\",\"PeriodicalId\":15761,\"journal\":{\"name\":\"Journal of ethnopharmacology\",\"volume\":\"343 \",\"pages\":\"Article 119480\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2025-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of ethnopharmacology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378874125001631\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/11 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MEDICINAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of ethnopharmacology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378874125001631","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/11 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0

摘要

民族药理学相关性:将网络毒理学与中药毒理学相结合,提高了中药安全性评价的效率和全面性。研究目的:加深对网络毒理学的认识,促进网络毒理学在中药安全性评价中的应用。材料与方法:以“网络药理学”、“网络毒理学”、“中药”为关键词,在Web of Science、PubMed、CNKI等数据库中检索相关文献。被引用的文献从1999年到2024年。结果:网络毒理学构建了“毒理-基因-靶点-药物”网络模型,表征了研究对象的毒理学特征。本文综述了现有的毒性预测工具和数据库,探讨了毒性预测的方法,全面总结了网络毒理学在有害成分预测、毒性机制分析、跨学科方法整合以及与组学技术结合等方面的应用。此外,还分析了网络毒理学目前面临的挑战和局限性。结论:网络毒理学在中药安全性研究中得到了广泛的应用,特别是在鉴别毒性成分和阐明其作用机制方面。然而,仍有很大的发展空间。未来的研究可以探索将网络毒理学与人工智能和多组学方法等前沿技术相结合,从而为建立综合的中药安全性评价体系提供坚实的理论基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Application and development trends of network toxicology in the safety assessment of traditional Chinese medicine

Ethnopharmacological relevance

Integrating network toxicology into traditional Chinese medicine toxicology boosts the efficiency and comprehensiveness of safety evaluations for these medicines.

Aim of the study

This paper aims to deepen the comprehension of network toxicology and facilitate its application in the safety evaluation of traditional Chinese medicines.

Materials and methods

Using “network pharmacology,” “network toxicology,” and “traditional Chinese medicine” as keywords, relevant literature was searched in databases such as Web of Science, PubMed, and CNKI. The cited literature spans from 1999 to 2024.

Results

Network toxicology constructs a “toxicity-gene-target-drug” network model to characterize the toxicological features of the research subject. This paper reviews existing toxicity prediction tools and databases, explores methodologies for toxicity prediction, and comprehensively summarizes the applications of network toxicology in the prediction of harmful components, analysis of toxicity mechanisms, integration of interdisciplinary approaches, and combination with omics technologies. Additionally, it analyzes the current challenges and limitations of network toxicology.

Conclusions

Network toxicology has been extensively utilized in the safety research of traditional Chinese medicine, particularly in identifying toxic components and elucidating their mechanisms. However, there remains significant space for advancement. Future research could investigate integrating network toxicology with cutting-edge technologies like artificial intelligence and multi-omics approaches, thereby offering robust theoretical foundations for developing a comprehensive traditional Chinese medicine safety evaluation system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of ethnopharmacology
Journal of ethnopharmacology 医学-全科医学与补充医学
CiteScore
10.30
自引率
5.60%
发文量
967
审稿时长
77 days
期刊介绍: The Journal of Ethnopharmacology is dedicated to the exchange of information and understandings about people''s use of plants, fungi, animals, microorganisms and minerals and their biological and pharmacological effects based on the principles established through international conventions. Early people confronted with illness and disease, discovered a wealth of useful therapeutic agents in the plant and animal kingdoms. The empirical knowledge of these medicinal substances and their toxic potential was passed on by oral tradition and sometimes recorded in herbals and other texts on materia medica. Many valuable drugs of today (e.g., atropine, ephedrine, tubocurarine, digoxin, reserpine) came into use through the study of indigenous remedies. Chemists continue to use plant-derived drugs (e.g., morphine, taxol, physostigmine, quinidine, emetine) as prototypes in their attempts to develop more effective and less toxic medicinals.
期刊最新文献
Ameliorative effect of AYUSH formulation against scopolamine induced learning and memory impairment in rat via attenuation of oxidative stress, neuroinflammation, acetylcholinesterase inhibition and Aβ plaques Flavonoid-rich extract of Cereus jamacaru: safety assessment and protective effects via NF-κB/MAPK modulation in an acute intestinal inflammation model Metabolic-circadian reprogramming mediates epithelial barrier destabilization during Euphorbia fischeriana toxicity and its mitigation by traditional milk processing Yi-Qi-Jian-Pi formula alleviates hepatic fibrosis in acute-on-chronic liver failure by regulating ferritinophagy-mediated hepatic stellate cell senescence Total saponins of Trillium tschonoskii Maxim. mitigate locomotor deficits associated with cerebral ischemia by facilitating microglial phenotype switching through the Jagged1/Notch1/Hes5 signaling pathway
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1