Immobilized Magnetic Beads-Based Multi-Target Affinity Selection Coupled with HPLC-MS for Screening Active Compounds from Traditional Chinese Medicine and Natural Products

2015 ◽  
pp. 121-129 ◽  
Author(s):  
Yaqi Chen ◽  
Zhui Chen ◽  
Yi Wang
Keyword(s):  
Natural Products ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Magnetic Beads ◽  
Affinity Selection ◽  
Active Compounds

Fast Dissolving/Disintegrating Dosage Forms of Natural Active Compounds and Alternative Medicines

2020 ◽  
Vol 14 (1) ◽  
pp. 21-39
Author(s):  
Anupama Singh ◽  
Vandana Kharb ◽  
Vikas Anand Saharan
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Active Compound ◽  
Dosage Forms ◽  
Oral Ingestion ◽  
Active Compounds ◽  
Alternative Medicines ◽  
Alternative Systems ◽  
The Family ◽  
Herbal Formulations

Fast Dissolving/Disintegrating Dosage Forms (FDDFs) are a group of dosage forms which dissolve or disintegrate quickly, leading to fast distribution of active ingredients at the site of administration; thereby providing ease of oral ingestion of solid unit dosage forms and have the potential to enhance transmucosal absorption. With time, the use of FDDFs in alternative systems has significantly increased. Homeopathic systems and traditional Chinese medicine have embraced FDDFs for the delivery of active compounds. Most of the patents in this area are from China or by the Chinese innovators. In Europe and US, FDDFs have been extensively studied for the delivery of natural active compounds. It was fascinating to know that some new dosage forms and new routes of delivering active compounds are also making their way to the family of FDDFs. The dose of active compound, size of dosage forms, standardization of extracts, polyherbal mixtures, stability of active compounds, safety, efficacy and pharmacokinetics are challenging issues for developing FDDF herbal formulations or phytopharmaceuticals.

Ligand Fishing with Cellular Membrane-Coated Magnetic Beads: A New Method for the Screening of Potentially Active Compounds from Natural Products

2017 ◽  
Vol 80 (10) ◽  
pp. 1517-1525 ◽  
Author(s):  
Cheng Tang ◽  
Ruizhi Mao ◽  
Fang Liu ◽  
Yaming Yu ◽  
Liang Xu ◽  
...  
Keyword(s):  
Natural Products ◽  
Magnetic Beads ◽  
Cellular Membrane ◽  
New Method ◽  
Active Compounds ◽  
Ligand Fishing

scholarly journals Leonurine, a Potential Agent of Traditional Chinese Medicine: Recent Updates and Future Perspectives

2016 ◽  
Vol 11 (11) ◽  
pp. 1934578X1601101 ◽  
Author(s):  
Di Yang ◽  
Wanwan Jia ◽  
Yi Zhun Zhu
Keyword(s):  
Natural Products ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Therapeutic Potential ◽  
Biological Activities ◽  
Future Perspectives ◽  
Effective Agent ◽  
Recent Advances

Herba Leonuri, also named Chinese Motherwort, has been extensively investigated as an effective agent on the uterus system. Our group has been studying the natural products of Herba Leonuri for several years, and during this period, many biological activities of the drug were recognized. Leonurine (4-guanidino- N-butyl-syringate) is an alkaloid present in Herba Leonuri. Recently, growing evidence has highlighted the therapeutic potential of leonurine in multiple diseases, especially cardiovascular. In this review, we discuss the biological activities of leonurine, as well as recent advances involving this alkaloid.

scholarly journals A Network Pharmacology-Based Study on the Anti-Lung Cancer Effect of Dipsaci Radix

2020 ◽  
Vol 2020 ◽  
pp. 1-9 ◽  
Author(s):  
Jiayan Wu ◽  
Shengkun Hong ◽  
Xiankuan Xie ◽  
Wangmi Liu
Keyword(s):  
Lung Cancer ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Interaction Network ◽  
Network Pharmacology ◽  
Pathway Enrichment Analysis ◽  
Hub Genes ◽  
Active Compounds

Objective. Dipsaci Radix (DR) has been used to treat fracture and osteoporosis. Recent reports have shown that myeloid cells from bone marrow can promote the proliferation of lung cancer. However, the action and mechanism of DR has not been well defined in lung cancer. The aim of the present study was to define molecular mechanisms of DR as a potential therapeutic approach to treat lung cancer. Methods. Active compounds of DR with oral bioavailability ≥30% and drug-likeness index ≥0.18 were obtained from the traditional Chinese medicine systems pharmacology database and analysis platform. The potential target genes of the active compounds and bone were identified by PharmMapper and GeneCards, respectively. The compound-target network and protein-protein interaction network were built by Cytoscape software and Search Tool for the Retrieval of Interacting Genes webserver, respectively. GO analysis and pathway enrichment analysis were performed using R software. Results. Our study demonstrated that DR had 6 active compounds, including gentisin, sitosterol, Sylvestroside III, 3,5-Di-O-caffeoylquinic acid, cauloside A, and japonine. There were 254 target genes related to these active compounds as well as to bone. SRC, AKT1, and GRB2 were the top 3 hub genes. Metabolisms and signaling pathways associated with these hub genes were significantly enriched. Conclusions. This study indicated that DR could exhibit the anti-lung cancer effect by affecting multiple targets and multiple pathways. It reflects the traditional Chinese medicine characterized by multicomponents and multitargets. DR could be considered as a candidate for clinical anticancer therapy by regulating bone physiological functions.

scholarly journals Smart Responsive Nanoformulation for Targeted Delivery of Active Compounds From Traditional Chinese Medicine

2020 ◽  
Vol 8 ◽  
Author(s):  
Xuejun Jiang ◽  
Mei Lin ◽  
Jianwen Huang ◽  
Mulan Mo ◽  
Houhe Liu ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Targeted Delivery ◽  
Drug Delivery Systems ◽  
Redox Status ◽  
Modern Medicine ◽  
Active Compounds ◽  
Stimulus Responsive ◽  
Internal Stimulus ◽  
Targeted Release

Traditional Chinese medicine (TCM) has been used to treat disorders in China for ~1,000 years. Growing evidence has shown that the active ingredients from TCM have antibacterial, antiproliferative, antioxidant, and apoptosis-inducing features. However, poor solubility and low bioavailability limit clinical application of active compounds from TCM. “Nanoformulations” (NFs) are novel and advanced drug-delivery systems. They show promise for improving the solubility and bioavailability of drugs. In particular, “smart responsive NFs” can respond to the special external and internal stimuli in targeted sites to release loaded drugs, which enables them to control the release of drug within target tissues. Recent studies have demonstrated that smart responsive NFs can achieve targeted release of active compounds from TCM at disease sites to increase their concentrations in diseased tissues and reduce the number of adverse effects. Here, we review “internal stimulus–responsive NFs” (based on pH and redox status) and “external stimulus–responsive NFs” (based on light and magnetic fields) and focus on their application for active compounds from TCM against tumors and infectious diseases, to further boost the development of TCM in modern medicine.

scholarly journals Predicting the Drug Safety for Traditional Chinese Medicine through a Comparative Analysis of Withdrawn Drugs Using Pharmacological Network

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Mengzhu Xue ◽  
Shoude Zhang ◽  
Chaoqian Cai ◽  
Xiaojuan Yu ◽  
Lei Shan ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Natural Products ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Drug Safety ◽  
Large Scale ◽  
Drug Candidate ◽  
Topology Analysis ◽  
Drug Safety Surveillance ◽  
Approved Drugs

As the major issue to limit the use of drugs, drug safety leads to the attrition or failure in clinical trials of drugs. Therefore, it would be more efficient to minimize therapeutic risks if it could be predicted before large-scale clinical trials. Here, we integrated a network topology analysis with cheminformatics measurements on drug information from the DrugBank database to detect the discrepancies between approved drugs and withdrawn drugs and give drug safety indications. Thus, 47 approved drugs were unfolded with higher similarity measurements to withdrawn ones by the same target and confirmed to be already withdrawn or discontinued in certain countries or regions in subsequent investigations. Accordingly, with the 2D chemical fingerprint similarity calculation as a medium, the method was applied to predict pharmacovigilance for natural products from an in-house traditional Chinese medicine (TCM) database. Among them, Silibinin was highlighted for the high similarity to the withdrawn drug Plicamycin although it was regarded as a promising drug candidate with a lower toxicity in existing reports. In summary, the network approach integrated with cheminformatics could provide drug safety indications effectively, especially for compounds with unknown targets or mechanisms like natural products. It would be helpful for drug safety surveillance in all phases of drug development.

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