• Title/Summary/Keyword: prescription herbal network

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Network Analysis on Herbal Combinations in Korean Medicine for Insomnia (불면 처방 활용 본초의 네트워크 분석)

  • Kim, An-na;Kim, Hong-jun;Song, Beom-yong;Lee, Seung-ho;Cho, Yong-ho;Oh, Yongtaek
    • Journal of Korean Medical classics
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    • v.31 no.4
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    • pp.69-78
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    • 2018
  • Objectives : The aim of this study was to diversify the interpretation of formulas used for insomnia treatment by searching and analyzing herbal combinations in formulas used for insomnia treatment in Korean medicine. Methods : Frequency analysis was conducted on herbal combinations of 255 formulas related with insomnia, along with network analysis using Netminer 4.2.1. Results : This study has found herbal combinations used frequently in Korean medicine formulas used for insomnia treatment, and a result of network analysis composed of four communities. Each community consisted of herbs in affiliation of Yookmijihwangtang(六味地黃湯) and Samultang(四物湯), Bohyulchunghwatang(補血淸火湯) and Ondamtang(溫膽湯), Jungjihwan(定志丸) and Sanjointang(酸棗仁湯). Conclusions : This study could help in assisting researchers to diversify formula analysis in future studies. Moreover, the herbal combination in insomnia formulas could be used to search for insomnia formulas in other databases or creating a new prescription.

Network Analysis of Herbs that are Frequently Prescribed for Osteoporosis with a Focus on Oasis Platform Research (골다공증 다빈도 처방과 구성 약물의 네트워크 분석 - 오아시스 검색을 중심으로)

  • Shin, Seon-mi;Ko, Heung
    • The Journal of Internal Korean Medicine
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    • v.42 no.4
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    • pp.628-644
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    • 2021
  • Objectives: This study analyzed, through network analysis and data mining analysis, the relationship between herbs used in osteoporosis prescriptions, diversified the analysis of osteoporosis-related prescriptions, and analyzed the combination of herbs used in osteoporosis-related prescriptions. Methods: The prescriptions used in osteoporosis treatment and experiments were established by conducting a full survey of the papers published by the OASIS site. A database for osteoporosis-related prescriptions was established, herbs were extracted, and the frequency of frequent herbs and prescriptions were investigated using Excel (MS offices ver. 2013). Using the freeware R version 4.0.3 (2020-10-10), igraph, and arules package, network analysis was performed in the first second of prescription composition. Results: Among the osteoporosis-related prescriptions, the most studied prescriptions are as follows.: Yukmijihwang-tang (六味地黃湯) and Samul-tang (四物湯). In the osteoporosis prescription network, herbs with connection centrality, proximity centrality, mediation centrality, and eigenvector centrality appeared in the order of Rehmanniae Radix Preparata, Angelicae Gigantis Radix, Poria Sclerotium, Paeoniae Radix, and Glycyrrhizae Radix et Rhizoma. After extracting the herbal combination network, including the corresponding herbs, and clustering it, it can be divided into drugs of the Yukmijihwang-tang (六味地黃湯) series and the Samul-tang (四物湯). Conclusions: This study could assist researchers in diversifyingy formula analysis in future studies. Moreover, the herbal combination used in osteoporosis prescriptions could be used to search for osteoporosis prescriptions in other databases or to create a new prescription.

Comparison of Herbs in Prescription Composition of Consumptive Disease and Internal Injury in Donguibogam Through Network Analysis (네트워크 분석을 통한 동의보감(東醫寶鑑) 내상(內傷)문과 허로(虛勞)문의 처방 구성 본초 비교)

  • Chien-hsin Kuo;Heung Ko;Seon-mi Shin
    • The Journal of Internal Korean Medicine
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    • v.44 no.1
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    • pp.35-52
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    • 2023
  • Objective: Internal injuries and consumptive disease have different causes, yet they can affect each other. The relationship and combination of prescription drugs in the clinical practice of internal injuries and consumptive disease were analyzed for various diseases of "Donguibogam" through network analysis. Methods: The prescriptions used in consumptive disease and internal injury were established by conducting a full survey on the papers extracted from Donguibogam. The R version 4.0.3 (2020-10-10) and the igraph and arules package were used to perform network analysis and association rule relationship mining analysis in the first and second prescription compositions. Results: The herb frequently used for internal injury was Glycyrrhizae Radix, while the herb combination frequently used was Citri Pericarpium-Glycyrrhizae Radix. For centrality, the main factor was generally Glycyrrhizae Radix. In the case of consumptive disease, the herb most frequently used was Angelicae Gigantis Radix, and the combination most frequently used was Rehmanniae Radix Preparata-Angelicae Gigantis Radix. In terms of centrality, it was Angelicae Gigantis Radix. As a result of the network analysis of herbal prescription frequency, each group was divided into three. Conclusion: The interrelationship between internal injury and consumptive disease prescription drugs may reveal the differences and similarities between internal injury and consumptive disease and may serve as a basis for the development of new drugs or materials that can enhance mutual effectiveness in the treatment of internal injury and consumptive diseases.

Study of structural analysis on formulas from 『Onbyungjobyun』 using network analysis (네트워크 분석법을 이용한 『온병조변』 처방의 구조적 분석 연구)

  • Oh, Yongtaek;Kim, Hongjun;Kim, Anna
    • Herbal Formula Science
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    • v.27 no.1
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    • pp.65-71
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    • 2019
  • Objective : This study aims to diversify interpretation of formulas from "Onbyungjobyun" by analyzing various formulas from "Onbyungjobyun" as basic formulas. Method : This study found herbal communities of combination by analyzing herbal combinations based on network analysis of formulas from "Onbyungjobyun", and has analyzed each community of combination as basic formulas. Result : The results of network analysis showed a total of 3 herbal communities of combination; first was medicinal herbs from Eungyo-san(銀翹散), Jeungaek-tang(增液湯), Bokmaek-tang(復脈湯), Gyeji-tang(桂枝湯), Sogeonjung-tang (小建中湯) series; second was medicinal herbs from Angungwoohwang-hwan(安宮牛黃丸); third was medicinal herbs from Baekho-tang(白虎湯), Jaseol-dan(紫雪丹), Sayeok-tang(四逆湯) series. Conclusion : The formulas from "Onbyungjobyun" are consisted of herbal communities of combination; that treat warm-heat pathogen and supplies yin essence or yang qi; treat reverse transmission to the pericardium(逆傳心包); and treat heat in the qi phase in Onbyeong and cold-dampness in the middle energizer.

A Comparative Study on the Herb Network of Prescriptions in the Dongui-Bogam Wind Chapter (동의보감 풍문 내 중풍증과 비병증, 역절풍증, 파상풍증 처방의 본초 조합 네트워크 비교)

  • Chu, Hong-min;Kim, Chul-hyun;Moon, Yeon-ju;Sung, Kang-keyng;Lee, Sang-kwan
    • The Journal of Internal Korean Medicine
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    • v.38 no.6
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    • pp.1007-1020
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    • 2017
  • Objectives: This study was carried out to investigate whether a prescription's composition varies according to the disease being caused by wind, which is one of the migratory pathogenic factors. Methods: An initial database and binary matrix of Pungmun in Dongui-Bogam, including its herbs and prescription, was constructed. With this data, a network map about wind stroke, arthralgia, acute arthritis, and tetanus in Dongui-Bogam was constructed. Results: Analysis of the network map about Pungmun in Dongui-Bogam revealed that the complete prescription network has more isolated nodes than does each disease's network map. Conclusions: The composition of prescriptions in Dongui-Bogam Pungmun differ according to the disease being caused by wind.

Analysis on the herbal combinations in Korean medicine for atopic dermatitis (아토피 치료 처방의 본초 활용 분석)

  • Kim, An-Na;Kim, Sang-Kyun;Seo, Jin-Soon;Kim, Sang-Hyun;Kim, Young-Eun;Jang, Hyun-Chul
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.29 no.2
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    • pp.82-97
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    • 2016
  • Objective : The aim of this study was to search and analyze the herbal combinations in formulas used to treat atopic dermatitis in Korean medicine. Methods : Articles on the atopy were searched for from among those registered on the OASIS up to December, 2015. After the articles were reviewed, information on both internal and external formulas for atopy was constructed. Then, the herbal combination in the formulas was analyzed by using frequency distribution, network analysis, and data mining. Results : The combination of 'Saposhnikovia Radix - Schizonepetae Spica' and 'Scutellariae Radix - Phellodendri Cortex ' was mostly used in both internal and external formulas to treat atopy in articles. By using the network analysis and data mining, twelve combinations including ' (Saposhnikovia Radix, Ponciri Fructus Pericarpium) - (Platycodi Radix, Schizonepetae Spica) ' were discovered. Five effective combinations were also searched for external formulas.Conclusions : This study could help researchers to analyze the formulas in various ways. Moreover, the herbal combination in atopy formulas could be used to search for atopy formulas in other databases or make a new prescription.

Comparison of network pharmacology based analysis results according to changes in principal herb in Sagunja-tang (사군자탕(四君子湯)에서 군약(君藥)의 변화에 따른 네트워크 약리학적 분석 결과 비교)

  • Lee, Byoungho;Cho, Suin
    • Herbal Formula Science
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    • v.27 no.3
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    • pp.189-197
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    • 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.

The Effect of Traditional Korean Medicine Treatment and Herbal Network Analysis in Postoperative Hip Fracture Inpatients (고관절 골절 수술 후 한의 입원치료 효과 및 다빈도 처방 약재 네트워크 분석)

  • Oh, Jihong;Lee, Myeong-Jong;Kim, Hojun
    • Journal of Korean Medicine Rehabilitation
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    • v.32 no.3
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    • pp.119-129
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    • 2022
  • Objectives This study aimed to evaluate the effects of Integrative treatment of traditional Korean medicine (TKM) on 7 hospitalized patients after hip fracture surgery, and to identify significant herbs and co-prescribed herbs by using network analysis and association rule mining. Methods A retrospective chart review of the 7 hospitalized patients treated for postoperative hip fractures between January and December 2021 was performed. All TKM treatments for the patients were identified and Wilcoxon signed-rank test was performed to compare hip pain and mobility on admission and discharge. We visualized the network of herbal medicines and complications. By using network analysis, we also identified the significant herbs (high centrality of degree, eigenvector, and sub-graph). Co-prescription patterns for the hip fracture patients were further analyzed by association rule mining. Results We found that TKM treatment significantly relieved hip pain and improved mobility. Accompanying symptoms reported by the patients were general weakness, anorexia, dizziness, delirium, edema, sputum, sore throat, cough, rhinorrhea, and chills. Herbs composed of Sagunja-tang and Samul-tang showed high centralities and high associations with other herbs. In addition, Gupan, Nokyong, Yukjongyong, Useul, and Hyunhosaek were identified as important herbs for postoperative hip fracture patients. Conclusions This study provides evidence for clinical TKM use as an effective postoperative treatment for pain relief and improvement of mobility in patients with hip fractures. In addition, herbs that can be considered in the treatment of patients after hip fracture surgery were identified through network analysis and association rule mining.

Network Pharmacology Analysis and Efficacy Prediction of GunryeongTang Constituents in Diabetic Complications (당뇨 합병증과 군령탕 구성성분의 네트워크 약리학 분석 및 효능 예측)

  • Jung Joo Yoon;Hye Yoom Kim;Ai Lin Tai;Ho Sub Lee;Dae Gill Kang
    • Herbal Formula Science
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    • v.32 no.1
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    • pp.11-28
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    • 2024
  • Objectives : GunRyeong-Tang(GRT) is a traditional herbal prescription that combines Oryeongsan and Sagunja-tang. This study employed network analysis methods on the components of GRT and target genes related to diabetes complications to predict the improvement effects of GRT on diabetes complications. Methods : The collection of active compounds of GRT and related target genes involved the utilization of public databases and the PubChem database. We selected diabetes complication-related genes using GeneCards and confirmed their correlation through comparative analysis with the target genes of GRT. We constructed a network using Cytoscape 3.9.1 and conducted topological analysis. To predict the mechanism, we performed functional enrichment analysis based on Gene Ontology (GO) biological processes and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Results : Through network analysis, 234 active compounds and 1361 related genes were collected from GRT. A total of 9,136 genes related to diabetes complications were collected, and 1,039 target genes overlapping with the components of GRT were identified. The core genes of this network were TP53, INS, AKT1, ALB, and EGFR. In addition, GRT significantly reduced the H9c2 cell size and the expression of myocardial hypertrophy biomarkers (ANP, BNP), which were increased by high glucose (HG). Conclusions : Through this study, we were able to predict the activity and mechanism of action of GRT on diabetes and diabetic complications, and confirmed the potential of GRT as a treatment for diabetes complications through the effect of GRT on improving myocardial hypertrophy for diabetic cardiomyopathy.

Exploring the Mechanisms and Target Diseases of Sasang Constitutional Prescription based on Multiscale Interactome (다계층 상호작용 네트워크 기반 사상처방의 작용 기전과 대상 질환 탐색 연구)

  • Won-Yung Lee;Ji Hwan Kim
    • Journal of Sasang Constitutional Medicine
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    • v.35 no.4
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    • pp.10-22
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    • 2023
  • Objectives The aim of this study is to explore the mechanism of action and target diseases of Sasang constitutional prescriptions using a multiscale interactome approach. Methods The compound and target information of Sasang constitutional prescriptions were retrieved from various databases such as the TM-MC, STITCH, and TTD. Key targets for Sasang constitutional prescriptions were identified by selecting the top 100 targets based on the number of simple paths within the constructed network. Diffusion profiles for Sasang constitutional prescriptions and diseases were calculated based on a biased random walk algorithm. Potential diseases and key mechanisms of Sasang constitutional prescriptions were identified by analyzing diffusion profiles. Results We identified 144 Sasang constitutional prescriptions and their targets, finding 80 herbs with effective biological targets. A cluster analysis based on selecting up to 100 key targets for each prescription revealed a more cohesive grouping of prescriptions according to Sasang constitution. We then predicted potential diseases for 62 Sasang constitutional prescriptions using diffusion profiles calculated on a multiscale interactome. Finally, our analysis of diffusion profiles revealed key targets and biological functions of prescriptions in obesity and diabetes. Conclusions This study demonstrates the effectiveness of a multiscale interactome approach in elucidating the complex mechanisms and potential therapeutic applications of prescriptions in Sasang constitutional medicine.