• Journal of Physiology & Pathology in Korean Medicine
• /
• v.29 no.6
• /
• pp.443-450
• /
• 2015

The purpose of this study was is to understand how the network pharmacology databases of traditional medicine in China are established and provide suggestion for successful implementation in Traditional Korean Medicine. We searched for network-pharmacology-related TCM Databases provided on the internet, and analysed their contents. Then, we compared herbs related to Sasang with herbs of the TCM Databases. We chose 8 network-pharmacology-related TCM Databases. They shared information about compounds, herbs, formulae, drugs, targets and diseases, and provided interaction networks between these components. In comparison with herbs related to Sasang, TCMSP Database did not have information about 99 herbs in total, and 25 herbs included in major Sasang formulae. The implications and recommendations for Traditional Korean Medicine researches were discussed. Based on the results of this primary study, more related studies should be carried out in the future.

• Herbal Formula Science
• /
• v.27 no.3
• /
• pp.189-197
• /
• 2019

Objectives : The purpose of this study was to confirm whether Codonopsis Radix(CR) could be used in the same way for expected indications or diseases of adaptation instead of Ginseng Radix(GR), which acts as a principal herb in Sagunja-tang. Methods : The Traditional Chinese Medicine Systems pharmacology(TCMSP), a database for the study of systems biology related to Chinese medicine, screened potential active compounds in each quartet. By searching for all the proteins that each compound provides, the target of Sagunja-tang with GR(GRST) and the target of Sagunja-tang with CR(CRST) were compared using the network analysis method, and the top ranked target of each serving was selected. Results : Through TCMSP, a Chinese medicine database, the potential effective ingredients of GRST or CRST screened, and the target proteins related to these substances were found to be the most affected by Glycyrrhizae Radix et Rhizome, an herbal medicine mixed in Sagunja-tang, and the target diseases were the same. And the same were found for the target protein, gene and target diseases of GRST and CRST. Conclusions : The prescription with similar composition is likely to have similar network pharmacology analysis results, and the analysis result may be controlled by the herbal medicines which are assumed to be the main function. Therefore, rich and reproducible basic studies is more important because network pharmacological studies can be dominated by data that has been done a lot of previous studies.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.36 no.6
• /
• pp.229-234
• /
• 2022

Lung cancer is the leading cause of cancer-related deaths worldwide. Indigo Naturalis (IN) is a dark blue powder obtained by processing leaves or stems of indigo plants, its anticancer effects have been reported in several studies. However, the pharmacological mechanism of IN in small cell lung cancer (SCLC) is not elucidated. In this study, to investigate the anticancer efficacy of IN for SCLC, we presented potential active ingredients, SCLC-related targets, and pharmacological mechanisms of IN that are expected to have anticancer activity for SCLC using a network pharmacological analysis. The phytochemical compounds of IN have been collected through TCMSP, SymMap, or HPLC documents. The active ingredients of IN such as indirubin, indican, isatin, and tryptanthrin were selected through ADME parameters or literature investigations for each compound. Using the Compounds, Disease-Target associations Databases, 124 common targets of IN and SCLC were obtained. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway enrichment analysis was carried out. GO biological processes are associated with response to xenobiotic stimulus, positive regulation of protein phosphorylation, regulation of mitotic cell cycle, and regulation of apoptotic signaling pathway. KEGG disease pathways included Gastric cancer, Bladder cancer, SCLC, and Melanoma. The main anticancer targets of the IN for SCLC were analyzed in 14 targets, including BCL2, MYC, and TP53. In conclusion, the results of this study based on the network pharmacology of IN can provide important data for the effective prevention and treatment of SCLC.

• Herbal Formula Science
• /
• v.28 no.4
• /
• pp.313-325
• /
• 2020

Objectives : To explore the associated potential pathways and molecular targets of Hwangryunhaedok-tang(HHT) by the approaches of network pharmacology and bioinformatics in traditional chinese medicine(TCM). Methods : Hwangryunhaedok-tang constituent drugs(Coptidis Rhizoma, CR; Scutellariae Radix, SR; Phellodendri Cortex, PC; Gardeniae Fructus, GF) and their processing types were searched from TCM systems pharmacology(TCMSP). The databases of TCMSP, Kyoto Encyclopedia of Genes and Genomes(KEGG), MCODE and STRING were used to gather information. The network of bioactive ingredients and target gene was constructed by Cytoscape software(version 3.8). Results : A total of 94 HHT active compounds(CR, 12; SR, 35; PC, 33; GF, 14, respectively) were found, and HHT were identified by TCMSP. Applications of KEGG and MCODE analysis indicates that total of 6 bioactive ingredients in the top 10% ranking were obtained and 32 diseases of HHT were screened. The molecular pathway analysis revealed that HHT exerts cancer, inflammation and cerebrovascular diseases effects by acting on several signaling pathway. In addition, HHT found that three genes(e.g. SPIN1, TRIM25, and APP) correlate with the aforementioned diseases. Conclusions : This study showed that network pharmacology analysis is useful to elucidate the complex mechanisms of action of HHT.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.38 no.1
• /
• pp.22-26
• /
• 2024

The purpose of this study was to identify the applicability, main compounds, and target genes of Cnidii Fructus (CF) in the treatment of gastritis using network pharmacology. The compounds in CF were searched in Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine (TM-MC). The target gene information of the compounds was collected from pubchem and cross-compared with the gastritis-related target gene information collected from Genecard to derive the target genes. Gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed on the derived target genes. Afterwards, network analysis between compounds and disease target genes was performed using cytoscape. We identified 121 active compounds and 139 target genes associated with gastritis. Pathways derived from the GO biological process and KEGG pathway DB primarily focus on target genes related to inflammation (IL-6, IL-8, TNF production, NF-κB transcription factor activity, and NF-κB signaling pathway) and cell death (PI3K-Akt, FoxO). Major targets for CF treatment of gastritis include TP53, TNF, BCL2, EGFR, NFKB1, ABCB1, PPARG, PTGS2, IL6, IL1B, and SOD1, along with major compounds such as coumarin, osthol, hexadecanoic acid, oleic acid, linoleic acid, and stigmasterol. This study provided CF's applicability for gastritis, related compounds, and target information. Evaluating CF's effectiveness in a preclinical gastritis model suggests its potential use in clinical practice for digestive system diseases.

• The Journal of Internal Korean Medicine
• /
• v.44 no.3
• /
• pp.313-353
• /
• 2023

Objectives: Heart failure is a chronic disease with increasing prevalence rates despite advancements in medical technology. Korean medicine utilizes herbal prescriptions to treat heart failure, but little is known about the specific herbal medicines comprising the network of herbal prescriptions for heart failure. This study proposes a novel methodology that can efficiently develop prescriptions and facilitate experimental research on heart failure by utilizing existing databases. Methods: Herbal medicine prescriptions for heart failure were identified through a PubMed search and compiled into a Google Sheet database. NetMiner 4 was used for network analysis, and the individual networks were classified according to the herbal medicine classification system to identify trends. K-HERB NETWORK was utilized to derive related prescriptions. Results: Network analysis of heart failure prescriptions and herbal medicines using NetMiner 4 produced 16 individual networks. Uhwangcheongsim-won (牛黃淸心元), Gamiondam-tang (加味溫膽湯), Bangpungtongseong-san (防風通聖散), and Bunsimgi-eum (分心氣飮) were identified as prescriptions with high similarity in the entire network. A total of 16 individual networks utilized K-HERB NETWORK to present prescriptions that were most similar to existing prescriptions. The results provide 1) an indication of existing prescriptions with potential for use to treat heart failure and 2) a basis for developing new prescriptions for heart failure treatment. Conclusion: The proposed methodology presents an efficient approach to developing new heart failure prescriptions and facilitating experimental research. This study highlights the potential of network pharmacology methodology and its possible applications in other diseases. Further studies on network pharmacology methodology are recommended.

• The Journal of Pediatrics of Korean Medicine
• /
• v.38 no.3
• /
• pp.53-65
• /
• 2024

Objectives This study aimed to analyze herbal formulas for epilepsy recorded in nine herbal manuscripts regulated by the Ministry of Food and Drug Safety (MFDS). The goal was to identify the frequency and associations of the included herbs and to determine effective herbal combinations for epilepsy treatment. Methods The study analyzed formulas for epilepsy (癲癎) from nine herbal manuscripts regulated by the MFDS: 東醫寶鑑, 方藥合編, 鄕藥集成方, 景岳全書, 醫學入門, 濟衆新編, 廣濟秘笈, 東醫壽世保元, and 本草綱目. We examined the frequency of herbs, herb pairs, and their degree centrality within the network using Netminer 4.5. Results The analysis identified 143 different herbs across the 159 formulas. Frequently included herbs were 朱砂, 人蔘, 天南星, 麝香, 茯笭. The most common herb pairs included 朱砂-麝香, 茯笭-人蔘, 朱砂-天南星, 朱砂-人蔘, 朱砂-遠志, 半夏-天南星. Network analysis revealed four distinct clusters: Group 1 (tranquillizing by heavy settling and opening the orifices), Group 2 (dispelling phlegm and regulating qi), Group 3 (tonifying and tranquillizing), and Group 4 (pacifying the liver and extinguishing wind). Conclusion The herbal formulas for epilepsy in the nine MFDS-regulated manuscripts have antiepileptic effects through central nervous system sedation and neuroprotective actions.