Article
Integrative & Complementary Medicine
Fang Sheng-Quan, Liu Yue-Han, Zhao Kun-Peng, Zhang Hui-Xing, Wang Hong-Wei, Deng Yu-Hai, Zhou Yu-Xuan, Ge Guang-Bo, Ni Hong-Mei, Chen Qi-Lone
Summary: The traditional Chinese herbal medicine formula HSYW has shown potential anti-tumor effects in treating gastric conditions, with 64 effective compounds identified and shown to inhibit tumor growth in vivo by regulating gene expression. Network pharmacology and PPI network analysis identified 12 core genes as potential markers for evaluating the therapeutic effects of HSYW.
CHINESE JOURNAL OF NATURAL MEDICINES
(2021)
Review
Plant Sciences
Hua-Yi Yang, Mengnan Liu, Pei Luo, Xin-Sheng Yao, Hua Zhou
Summary: Network pharmacology has important applications in deciphering the mechanism of TCM in treating ischemic heart diseases. However, its current application in TCM research is still at a superficial level. By combining artificial intelligence technology and other advanced theories and technologies, and systematically studying the metabolic process and network relationships of TCM from a clinical perspective, network pharmacology may have great potential for development.
Article
Plant Sciences
Li Zhao, Hong Zhang, Ning Li, Jinman Chen, Hao Xu, Yongjun Wang, Qianqian Liang
Summary: Network pharmacology is a new discipline that combines systems biology theory, biological system network analysis, and multi-target drug molecule design for studying the pharmacological mechanism of Chinese medicine compounds. This paper summarizes the application status and existing problems of network pharmacology in the field of Chinese medicine formula, and proposes research ideas, up-to-date key technology, and application methods and strategies. It aims to provide guidance and reference for revealing the modern scientific connotation of Chinese medicine using network pharmacology.
JOURNAL OF ETHNOPHARMACOLOGY
(2023)
Article
Pharmacology & Pharmacy
Xiaoyi Wei, Weixin Hou, Jiajun Liang, Peng Fang, Bo Dou, Zisong Wang, Jiayang Sai, Tian Xu, Chongyang Ma, Qiuyun Zhang, Fafeng Cheng, Xueqian Wang, Qingguo Wang
Summary: This study employed network pharmacology approach to investigate the mechanism of Sinisan in treating non-alcoholic fatty liver disease (NAFLD), identifying its ability to reduce hyperlipidemia, liver steatosis, and inflammation, while inhibiting the crucial JAK2/STAT3 signaling pathway.
FRONTIERS IN PHARMACOLOGY
(2021)
Article
Biochemistry & Molecular Biology
Xianhai Li, Qiang Tang, Fanbo Meng, Pufeng Du, Wei Chen
Summary: The application of network pharmacology has advanced the scientific interpretation of traditional Chinese medicine in disease treatment mechanisms. The development of the INPUT platform has integrated data from multiple resources, offering an automatic analysis of network pharmacology and facilitating drug discovery research.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
(2022)
Review
Chemistry, Medicinal
Genhao Fan, Menglin Liu, Jia Liu, Yuhong Huang, Wei Mu
Summary: Traditional Chinese medicine (TCM) has obvious advantages in preventing and treating ischemic stroke (IS) and is scientifically proven to be effective. This review summarizes commonly used TCM medicines and their mechanisms in the treatment of IS.
PHYTOTHERAPY RESEARCH
(2023)
Article
Biochemistry & Molecular Biology
Sutapa Datta, Indrani Sarkar, Gargi Sen, Arnab Sen
Summary: The article discusses the possibility of using phytocompounds derived from Neem and Turmeric to treat fungal infections related to COVID-19. Through the use of network pharmacology, the study identifies several plant compounds that can effectively fight against Black Fungus. The results suggest a triple-front attack on the fungal pathogens, including necrosis inhibition, iron chelation, and immuno-boosting.
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
(2023)
Review
Pharmacology & Pharmacy
Qian Li, Ciqiu Tian, Xiangjie Liu, Dinglin Li, Hao Liu
Summary: Osteoporosis is a metabolic bone disorder characterized by decreased bone mass and compromised microarchitecture, which leads to bone deterioration and increased fracture risk. The main causes of osteoporosis are increased osteoclast activity or quantity and decreased osteoblast viability. Various mechanisms, including estrogen shortage, aging, chemical agents, and decreased mechanical loads, have been linked to osteoporosis, and recently inflammation and oxidative stress have also been found to play a role. Currently, bisphosphonates and selective estrogen receptor modulators (SERMs) are the primary medications used to treat osteoporosis, but they do not target inflammation and oxidative stress-induced osteoporosis and have limitations due to side effects. Traditional Chinese medicine (TCM) has a long history in osteoporosis treatment and is considered safe. This review focuses on botanical drugs that have an effect on inflammation and oxidative stress-induced osteoporosis, discussing the pharmacologically active ingredients and pathways, aiming to discover more safe and effective drugs for osteoporosis treatment.
FRONTIERS IN PHARMACOLOGY
(2023)
Article
Biochemical Research Methods
Yinyin Wang, Hongbin Yang, Linxiao Chen, Mohieddin Jafari, Jing Tang
Summary: Traditional Chinese medicine has been practiced for treating human diseases for thousands of years, where one of its advantages is the principle of herb compatibility in TCM formulae, consisting of multiple herbs to achieve maximum treatment effects. A network-based method was proposed to quantify interactions in herb pairs, revealing that frequently used herb pairs tend to affect neighboring proteins in the human interactome. The study provides a network pharmacology framework to explore herb combinations more effectively based on network topology.
BRIEFINGS IN BIOINFORMATICS
(2021)
Review
Pharmacology & Pharmacy
Shihao Zheng, Tianyu Xue, Bin Wang, Haolin Guo, Qiquan Liu
Summary: Network pharmacology, based on holistic analysis of biological systems, has become a popular tool in traditional Chinese medicine research. It provides a new approach for studying complex TCM systems and has been widely used in explaining TCM treatment mechanisms, drug repositioning, and interpretation of TCM prescriptions, promoting the modernization of TCM. However, there are still shortcomings such as lack of experimental verification and regular updating of the TCM pharmacology network.
FRONTIERS IN PHARMACOLOGY
(2022)
Review
Integrative & Complementary Medicine
Lian Yajun, Wang Qingguo, Mu Jie, Liu Haixia, Xu Tian, Fan Shuning, Tang Feifei, Feng Tianyi, Xu Wenxiu, Jin Na, Cheng Fafeng, Wang Xueqian
Summary: The study investigated the targets and mechanisms of action of Qingkailing injection (QKL) in the treatment of cholestatic hepatitis using a network pharmacology method. Results showed that QKL targeted multiple biological functions and signaling pathways, primarily related to tumor necrosis factor, mitogen-activated protein kinase, and PI3K-Akt pathways. This suggests that QKL treatment of cholestatic hepatitis involves multiple targets and pathways closely associated with the disease.
JOURNAL OF TRADITIONAL CHINESE MEDICINE
(2021)
Article
Pharmacology & Pharmacy
Facheng Bai, Zhenguang Huang, Jun Luo, Yue Qiu, Shuwen Huang, Chenglong Huang, Taotao Liu, Hongliang Zhang, Dandan Wang
Summary: This study analyzed the status and hotspots of traditional Chinese medicine (TCM) in cancer research from 2002 to 2022. The publication rate of TCM cancer research has been steadily increasing, with China being the leading country in terms of published articles and international collaborations. The most studied cancer types in TCM research are breast cancer, colorectal cancer, gastric cancer, liver cancer, and lung cancer. Pathway-related apoptosis, anti-inflammation, and oxidative stress are the hotspots in TCM's anti-cancer mechanism. Metabolomics combined with network pharmacology is the main research method.
FRONTIERS IN PHARMACOLOGY
(2023)
Article
Pharmacology & Pharmacy
Xu Li, Jing Ren, Wen Zhang, Zhiming Zhang, Jinchao Yu, Jiawei Wu, He Sun, Shuiping Zhou, Kaijing Yan, Xijun Yan, Wenjia Wang
Summary: Benefiting from the development of network pharmacology, Traditional Chinese Medicine (TCM) has shown great potential in modern drug discovery. However, existing TCM databases still face challenges in data standardization, integrity, and precision. To address these shortcomings, researchers have developed a web-based TCM platform called LTM-TCM, which integrates high-quality data from multiple authoritative databases, corrects TCM interactions through natural language processing techniques, and provides diverse cross-field pipelines for integrating traditional medicine with modern science at both the molecular and phenotypic levels.
PHARMACOLOGICAL RESEARCH
(2022)
Review
Plant Sciences
Si-min Qi, Jing-tian Zhang, Hong-yan Zhu, Zi Wang, Wei Li
Summary: Glaucoma is the second most common blindness in the world, affecting the life quality of patients. Traditional Chinese Medicines (TCM) have become an important content in ophthalmology, characterized by more targets and lower toxicity. This review presents an overview of glaucoma pathogenesis and therapeutic effects of TCM, as well as the application of acupuncture.
JOURNAL OF ETHNOPHARMACOLOGY
(2023)
Review
Integrative & Complementary Medicine
Yi-xuan Wang, Zhen Yang, Wen-xiao Wang, Yu-xi Huang, Qiao Zhang, Jia-jia Li, Yu-ping Tang, Shi-jun Yue
Summary: This article introduces the application of network pharmacology method in studying traditional Chinese medicine against COVID-19. By constructing the network relationship of herb-compound-target-pathway, network pharmacology reveals the holistic mechanisms of Chinese herbal medicine and improves the efficiency and accuracy of active compound screening and target fishing.
JOURNAL OF INTEGRATIVE MEDICINE-JIM
(2022)