Systematically Deciphering the Pharmacological Mechanism of Fructus Aurantii via Network Pharmacology

Jin, Qionglong; Lu, Jie; Gao, Renhui; Xu, Jia‐Ying; Pan, Xiaoyan; Wang, Lichang

doi:10.1155/2021/6236135

Cited by 9 publications

(5 citation statements)

References 52 publications

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“…DEGs were extracted by comparing BEAS-2B cells (a he human bronchial epithelial cell line) before exposure to CS with after, and they are significantly enriched in the negative regulation of transferase activity (GO:0051348, adjusted p value = 2.21E−15) [ 54 ]. In addition, negative regulation of kinase activity (GO:0033673, adjusted p value = 1.57E−14), intracellular receptor signaling pathway (GO:0030522, adjusted p value = 3.78E−14), DNA-templated transcription, initiation (GO:0006352, adjusted p value = 1.57E−14), negative regulation of protein kinase activity (GO:0006469, adjusted p value = 2.25E−14) and transcription initiation from RNA polymerase II promoter (GO:0006367, adjusted p value = 1.10E−15) are the most enriched terms by GO enrichment analysis on key lung cancer-related gene sets that have been reported in other studies [ 55 – 59 ].…”

Section: Resultsmentioning

confidence: 58%

DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer

et al. 2023

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Background Constructing molecular interaction networks from microarray data and then identifying disease module biomarkers can provide insight into the underlying pathogenic mechanisms of non-small cell lung cancer. A promising approach for identifying disease modules in the network is community detection. Results In order to identify disease modules from gene co-expression networks, a community detection method is proposed based on multi-objective optimization genetic algorithm with decomposition. The method is named DM-MOGA and possesses two highlights. First, the boundary correction strategy is designed for the modules obtained in the process of local module detection and pre-simplification. Second, during the evolution, we introduce Davies–Bouldin index and clustering coefficient as fitness functions which are improved and migrated to weighted networks. In order to identify modules that are more relevant to diseases, the above strategies are designed to consider the network topology of genes and the strength of connections with other genes at the same time. Experimental results of different gene expression datasets of non-small cell lung cancer demonstrate that the core modules obtained by DM-MOGA are more effective than those obtained by several other advanced module identification methods. Conclusions The proposed method identifies disease-relevant modules by optimizing two novel fitness functions to simultaneously consider the local topology of each gene and its connection strength with other genes. The association of the identified core modules with lung cancer has been confirmed by pathway and gene ontology enrichment analysis.

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Section: Resultsmentioning

confidence: 58%

DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer

et al. 2023

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“…The active ingredients of black ants (XJ), Herba Epimedii (YYH), Fructus Lycii (SCZ) and Fructus Cnidii (GQZ) in the whole prescription were collected by the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database and analysis platform ( http://lsp.nwu.edu.cn/tcmsp.php ), Traditional Chinese Medicine Integrated Database (TCMID, http://www . http://megabionet.org/tcmid ), Natural Products Database of Traditional Chinese Medicine of Shanghai Institute of Organic Chemistry ( http://www.chemcpd.csdb.cn ) and the related literature of the compound Xuanju capsule [ 21 , 22 ]. According to the integrative absorption, distribution, metabolism and excretion (ADME) model, bioavailability (OB) and drug-likeness (DL) were regarded as the screening criteria for active ingredients.…”

Section: Methodsmentioning

confidence: 99%

Use of Network Pharmacology to Investigate the Mechanism of the Compound Xuanju Capsule in the Treatment of Rheumatoid Arthritis

Wei¹,

Lu²,

Chen³

et al. 2021

BioMed Research International

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Objective. To clarify the therapeutic mechanisms of compound Xuanju capsule-treated rheumatoid arthritis (RA) based on network pharmacology tactics. Method. The TCMSP, TCMID and STITCH databases were used to screen the active ingredients and targets in the compound Xuanju capsule; the OMIM, TTD, PharmGKB and GeneCards databases were applied to screen the RA-related disease targets. Then, the obtained targets were imported into Cytoscape 3.7.1 software to construct the active ingredient-target network and the RA-related disease-target network. The active ingredient-target PPI network, the RA-related disease-target PPI network and the common target PPI network were built by using the STRING platform and Cytoscape 3.7.1 software. The GO and KEGG analyses of the common targets were analyzed by using the Metascape and Bioinformatics online tools. Results. A total of 51 active ingredients and 513 corresponding ingredient targets were harvested from the compound Xuanju capsule; 641 RA-related disease targets were obtained. After two PPI networks were constructed and merged, 116 RA-related targets of compound Xuanju capsules were identified and analyzed. 116 RA-related targets of compound Xuanju capsules are mainly involved in the biological processes and molecular functions, such as the cytokine-mediated signaling pathways, the response to lipopolysaccharide and the blood vascular development, the cytokine activity, the cytokine receptor binding and the receptor regulator activity. Furthermore, 116 RA-related targets of compound Xuanju capsules are concentrated in signaling pathways such as the IL-17, TNF, Th17 cell differentiation, Toll receptor and RA signaling pathway. Conclusion. The compound Xuanju capsule had the action characteristics of multiple components, multiple targets, and multiple pathways in the treatment of RA, which might primarily reduce the release of proinflammatory factors (such as IL-6 and TNF-α) and increase the production of anti-inflammatory factors (such as IL-10) by regulating inflammation-related signaling pathways (such as IL-17), thereby alleviating the inflammatory damage and improving the bone tissue repair.

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“…Simultaneously, they detected significant reductions in the numbers of neutrophils and macrophages in bronchoalveolar lavage fluid, which explains the significant anti-inflammatory effects of C. aurantium . Using a web-based pharmacological system, Jin et al [ 28 ] succeeded in resolving the pharmacological mechanism of C. aurantium and found that chuanpianin in C. aurantium has certain anti-inflammatory effects. Furthermore, Güvenç et al [ 29 ] examined the effects of tangerine in trifoliate aurantium (Figure 3 ) on the renal tissue of rats with renal ischemia-reperfusion injury and accordingly found that after the intervention with tangerine, there was a significant reduction in the levels of TNF-α and IL-1 expression in these rats, which were comparable to those detected in the control group rats.…”

Section: The Role Of Sanhua Decoction In the Prevention And Treatment...mentioning

confidence: 99%

Application and mechanisms of Sanhua Decoction in the treatment of cerebral ischemia-reperfusion injury

Wang,

Lin,

Wang

et al. 2024

World J Clin Cases

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Cerebral ischemia-reperfusion is a process in which the blood supply to the brain is temporarily interrupted and subsequently restored. However, it is highly likely to lead to further aggravation of pathological damage to ischemic tissues or the nervous system., and has accordingly been a focus of extensive clinical research. As a traditional Chinese medicinal formulation, Sanhua Decoction has gradually gained importance in the treatment of cerebrovascular diseases. Its main constituents include Citrus aurantium , Magnolia officinalis , rhubarb, and Qiangwu, which are primarily used to regulate qi. In the treatment of neurological diseases, the therapeutic effects of the Sanhua Decoction are mediated via different pathways, including antioxidant, anti-inflammatory, and neurotransmitter regulatory pathways, as well as through the protection of nerve cells and a reduction in cerebral edema. Among the studies conducted to date, many have found that the application of Sanhua Decoction in the treatment of neurological diseases has clear therapeutic effects. In addition, as a natural treatment, the Sanhua Decoction has received widespread attention, given that it is safer and more effective than traditional Western medicines. Consequently, research on the mechanisms of action and efficacy of the Sanhua Decoctions in the treatment of cerebral ischemia-reperfusion injury is of considerable significance. In this paper, we describe the pathogenesis of cerebral ischemia-reperfusion injury and review the current status of its treatment to examine the therapeutic mechanisms of action of the Sanhua Decoction. We hope that the findings of the research presented herein will contribute to a better understanding of the efficacy of this formulation in the treatment of cerebral ischemia-reperfusion, and provide a scientific basis for its application in clinical practice.

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Systematically Deciphering the Pharmacological Mechanism of Fructus Aurantii via Network Pharmacology

Cited by 9 publications

References 52 publications

DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer

DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer

Use of Network Pharmacology to Investigate the Mechanism of the Compound Xuanju Capsule in the Treatment of Rheumatoid Arthritis

Application and mechanisms of Sanhua Decoction in the treatment of cerebral ischemia-reperfusion injury

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