• Korean Journal of Acupuncture
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• 제41권1호
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• pp.7-15
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• 2024

Objectives : This study aimed to predict the effectiveness and potential of Schizonepeta tenuifolia as an anticancer treatment for non-small cell lung cancer through network-based pharmacology and cellular experiment. Methods : To identify the major bioactive compounds in Schizonepeta tenuifolia, we used the Traditional Chinese Medicine Systems. The target genes for the cancer treatment were selected using the UniProt database and the networked using Cytoscape. We performed functional enrichment analysis based on the Gene Ontology Biological Process and Kyoto Encyclopedia of Genes and Genomes Pathways to predict the mechanisms. To investigate the effect of Schizonepeta tenuifolia on lung cancer cell growth, we treated A549 cells, a lung cancer cell line, with different concentrations of the drug and used the MTT assay for cell viability. Results : Research has shown that the most effective mechanism of active compounds from Schizonepeta tenuifolia is through the pathway of cancer. The results of the network pharmacology analysis indicate that Schizonepeta tenuifolia has potential medicinal value as an adjuvant in anticancer treatment. The concentration-dependent inhibition of cell viability was observed on A549 cells. Furthermore, synergistic anticancer activity with Doxorubicin was also observed. Conclusions : Through a network pharmacological approach, Schizonepeta tenuifolia was predicted to have potential as an anticancer agent, and its efficacy was experimentally demonstrated using A549 cells. These findings suggest that Schizonepeta tenuifolia is a promising candidate for future research.

• 대한한방내과학회지
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• 제44권3호
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• pp.313-353
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• 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 Korean Journal of Physiology and Pharmacology
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• 제27권4호
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• pp.365-374
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• 2023

Crohn's disease (CD) is a chronic inflammatory illness of the digestive system with unknown etiology, and its incidence is increasing worldwide. However, there are currently no effective treatments or medications available for individuals with CD. Therefore, novel therapeutic strategies are urgently needed. The bioactive compounds and targets associated with compounds of Qinghua Xiaoyong Formula (QHXYF) were examined using The Traditional Chinese Medicine Systems Pharmacology database, and 5 disease target databases were also used to identify CD-related disease targets. A total of 166 overlapping targets were identified from QHXYF-related and CD-related disease targets and they were found to be enriched in oxidative stress-related pathways and the PI3K/AKT signaling pathway. Molecular docking was then used to predict how the bioactive compounds would bind to the hub targets. It was found that quercetin could be the core bioactive compound and had good binding affinity to the top 5 hub targets. Finally, animal experiments were performed to further validate the findings, and the results revealed that QHXYF or quercetin inhibited 2,4,6-trinitrobenzenesulfonic acid-induced inflammation and oxidative stress processes by inhibiting the PI3K/AKT pathway, thereby improving CD symptoms. These findings suggest that QHXYF and quercetin may be potential novel treatments for CD.

• 동의생리병리학회지
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• 제31권6호
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• pp.313-327
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• 2017

The purpose of this study is to predict the effects of macroscopic and integrative therapies by finding active ingredients, potential targets of Astragalus membranaceus (Am) and Cornus officinalis (Co) for diabetic nephropathy. We have constructed network pharmacology-based systematic and network methodology by system biology, chemical structure, chemogenomics. We found several active ingredients of Astragalus membranaceus (Am) and Cornus officinalis (Co) that were speculated to bind to specific receptors which had been known to have a role in the progression of diabetic nephropathy. Four components of Am and eleven components of Co could bind to iNOS; two ingredients of Am and six ingredients of Co could docking to cGB-PDE; one component of Am and nine components of Co could bind to ACE; three ingredients of Co with neprilysin; three components of Co with ET-1 receptor; four ingredients of Am and fourteen ingredients of Co with mineralocorticoid receptor; one component of Am and seven components of Co with interstitial collagenase; one ingredient of Am and ten ingredients of Co with membrane primary amine oxidase; one component of Am and four components of Co with JAK2; two ingredients of Am and one ingredient of Co with MAPK 12; one component of Am and five components of Co could docking to TGF-beta receptor type-1. From this work we could speculate that the possible mechanisms of Am and Co for diabetic nephropathy are anti-inflammatory, antioxidant and antihypertensive effects.

• Journal of Ginseng Research
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• 제47권2호
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• pp.228-236
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• 2023

Background: QiShen YiQi pills (QSYQ) is a Traditional Chinese Medicine (TCM) formula, which has a significant effect on the treatment of patients with myocardial infarction (MI) in clinical practice. However, the molecular mechanism of QSYQ regulation pyroptosis after MI is still not fully known. Hence, this study was designed to reveal the mechanism of the active ingredient in QSYQ. Methods: Integrated approach of network pharmacology and molecular docking, were conducted to screen active components and corresponding common target genes of QSYQ in intervening pyroptosis after MI. Subsequently, STRING and Cytoscape were applied to construct a PPI network, and obtain candidate active compounds. Molecular docking was performed to verify the binding ability of candidate components to pyroptosis proteins and oxygen-glucose deprivation (OGD) induced cardiomyocytes injuries were applied to explore the protective effect and mechanism of the candidate drug. Results: Two drug-likeness compounds were preliminarily selected, and the binding capacity between Ginsenoside Rh2 (Rh2) and key target High Mobility Group Box 1 (HMGB1)was validated in the form of hydrogen bonding. 2 μM Rh2 prevented OGD-induced H9c2 death and reduced IL-18 and IL-1β levels, possibly by decreasing the activation of the NLRP3 inflammasome, inhibiting the expression of p12-caspase1, and attenuating the level of pyroptosis executive protein GSDMD-N. Conclusions: We propose that Rh2 of QSYQ can protect myocardial cells partially by ameliorating pyroptosis, which seems to have a new insight regarding the therapeutic potential for MI.

• Journal of Ginseng Research
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• 제47권1호
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• pp.54-64
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• 2023

Background: Panax ginseng Meyer (P. ginseng) is a traditional natural/herbal medicine. The amelioration on inflammatory bowel disease (IBD) activity rely mainly on its main active ingredients that are referred to as ginsenosides. However, the current literature on gut microbiota, gut microbiota-host co-metabolites, and systems pharmacology has no studies investigating the effects of ginsenoside on IBD. Methods: The present study was aimed to investigate the role of ginsenosides and the possible underlying mechanisms in the treatment of IBD in an acetic acid-induced rat model by integrating metagenomics, metabolomics, and complex biological networks analysis. In the study ten ginsenosides in the ginsenoside fraction (GS) were identified using Q-Orbitrap LC-MS. Results: The results demonstrated the improvement effect of GS on IBD and the regulation effect of ginsenosides on gut microbiota and its co-metabolites. It was revealed that 7 endogenous metabolites, including acetic acid, butyric acid, citric acid, tryptophan, histidine, alanine, and glutathione, could be utilized as significant biomarkers of GS in the treatment of IBD. Furthermore, the biological network studies revealed EGFR, STAT3, and AKT1, which belong mainly to the glycolysis and pentose phosphate pathways, as the potential targets for GS for intervening in IBD. Conclusion: These findings indicated that the combination of genomics, metabolomics, and biological network analysis could assist in elucidating the possible mechanism underlying the role of ginsenosides in alleviating inflammatory bowel disease and thereby reveal the pathological process of ginsenosides in IBD treatment through the regulation of the disordered host-flora co-metabolism pathway.

• 한방안이비인후피부과학회지
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• 제36권2호
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• pp.1-9
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• 2023

Objectives : This study used a network pharmacology approach to analyze the treatment mechanisms of Yijin-tang on Meniere's disease, and comparative analysis the treatment mechanisms of drugs recommended in the Meniere's disease treatment guidelines. Methods : We collected information on the recommended drugs from the Meniere's disease treatment guidelines and their target proteins were screened via the STITCH database. The intersection targets were obtained through Venny 2.1.0. Gene Ontology(GO) analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis were performed using ClueGO. Results : The 7 proteins(TNF, CASP9, PARP1, CCL2, CFTR, NOS2, NOS1) were associated with both Yijin-tang and Meniere's disease related genes. The 10 proteins(AQP2, KCNE1, AQP1, AVP, ACE, HRH1, HRH3, NOS1, CA1, CFTR) were associated with both the recommended drugs in the guidelines and Meniere's disease related genes. The 2 proteins(CFTR, NOS1) were common across all three groups. Further, GO/KEGG pathway analysis of the collected proteins revealed that the common mechanisms of action between Yijin-tang and the recommended drugs in the guidelines were related to pathways involving immune dysfunction and disturbances in lymphatic fluid homeostasis. In addition, the recommended drugs in the guidelines appeared to act through mechanisms that improve blood flow through vasodilation. Conclusions : Pharmacological network analysis can help to explain the treatment mechanisms of Yijin-tang on Meniere's disease.

• Journal of Ginseng Research
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• 제47권4호
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• pp.493-505
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• 2023

In recent years, an increasing number of reports have explored the wound healing mechanism of these two traditional Chinese herbal medicines- Panax ginseng and Panax notoginseng, but there is no systematic research on the related core functions and different mechanisms in the treatment of wound healing up to now. Based on network pharmacology and meta-analysis, the present work aimed to comprehensively review the commonality and diversity of P. ginseng and P. notoginseng in wound healing. In this study, a wound healing-related "ingredients-targets" network of two herbs was constructed. Thereafter, meta-analysis of the multiple target lists by Metascape showed that these two medicines significantly regulated blood vessel development, responses to cytokines and growth factors and oxygen levels, cell death, cell proliferation and differentiation, and cell adhesion. To better understand the discrepancy between these two herbs, it was found that common signaling pathways including Rap1, PI3K/AKT, MAPK, HIF-1 and Focal adhesion regulated the functions listed above. In parallel, the different pathways including renin-angiotensin system, RNA transport and circadian rhythm, autophagy, and the different metabolic pathways may also explained the discrepancies in the regulation of the above-mentioned functions, consistent with the Traditional Chinese Medicine theory about the effects of P. ginseng and P. notoginseng.

• 동의생리병리학회지
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• 제38권1호
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• pp.22-26
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• 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 Korean Journal of Physiology and Pharmacology
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• 제23권2호
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• pp.131-139
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• 2019

Manually reviewing electroencephalograms (EEGs) is labor-intensive and demands automated seizure detection systems. To construct an efficient and robust event detector for experimental seizures from continuous EEG monitoring, we combined spectral analysis and deep neural networks. A deep neural network was trained to discriminate periodograms of 5-sec EEG segments from annotated convulsive seizures and the pre- and post-EEG segments. To use the entire EEG for training, a second network was trained with non-seizure EEGs that were misclassified as seizures by the first network. By sequentially applying the dual deep neural networks and simple pre- and post-processing, our autodetector identified all seizure events in 4,272 h of test EEG traces, with only 6 false positive events, corresponding to 100% sensitivity and 98% positive predictive value. Moreover, with pre-processing to reduce the computational burden, scanning and classifying 8,977 h of training and test EEG datasets took only 2.28 h with a personal computer. These results demonstrate that combining a basic feature extractor with dual deep neural networks and rule-based pre- and post-processing can detect convulsive seizures with great accuracy and low computational burden, highlighting the feasibility of our automated seizure detection algorithm.