Investigation on the mechanism of 2,3,4′,5-Tetrahydroxystilbene 2-o-D-glucoside in the treatment of inflammation based on network pharmacology

Sun, Ling; Wang, Bixu; Sun, Tiansong; Zhou, Fangmei; Zhu, Bingqi; Li, Chang; Wan, Haitong; Ding, Zhongxiang

doi:10.1016/j.compbiomed.2022.105448

Cited by 14 publications

(3 citation statements)

References 50 publications

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“…However, dysregulated uncontrolled inflammation can cause several chronic diseases, even death ( Ma and Willey, 2022 ). Glucocorticoids, broad-spectrum anti-inflammatory agents, are used to treat inflammatory diseases but are associated with several adverse effects, including high blood pressure, hyperglycemia, and adrenal insufficiency ( Sun et al, 2022 ). Aspirin is a nonsteroidal anti-inflammatory drug that is known to act by blocking cyclooxygenase activity ( Nyambuya et al, 2023 ), but a variety of side effects can be associated with long-term aspirin use, which include varying degrees of damage to the gastrointestinal tract, liver, kidney, and cardiovascular system ( Shi et al, 2023 ).…”

Section: Discussionmentioning

confidence: 99%

Integrating network pharmacology and experimental verification to reveal the anti-inflammatory ingredients and molecular mechanism of pycnogenol

Liu,

Shi,

Liu

et al. 2024

Front. Pharmacol.

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Introduction: Pycnogenol (PYC), a standardized extract from French maritime pine, has traditionally been used to treat inflammation. However, its primary active components and their mechanisms of action have not yet been determined.Methods: This study employed UPLC-MS/MS (Ultra-high performance liquid chromatography-tandem mass spectrometry) and network pharmacology to identify the potential active components of PYC and elucidate their anti-inflammatory mechanisms by cell experiments.Results: 768 PYC compounds were identified and 19 anti-inflammatory compounds were screened with 85 target proteins directly involved in the inflammation. PPI (protein-protein interaction) analysis identified IL6, TNF, MMP9, IL1B, AKT1, IFNG, CXCL8, NFKB1, CCL2, IL10, and PTGS2 as core targets. KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis suggested that the compound in PYC might exert anti-inflammatory effects through the IL17 and TNF signal pathways. Cell experiments determined that PYC treatment can reduce the expression of IL6 and IL1β to relieve inflammation in LPS (lipopolysaccharide)-induced BV2 cells.Conclusion: PYC could affect inflammation via multi-components, -targets, and -mechanisms.

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Section: Discussionmentioning

confidence: 99%

Integrating network pharmacology and experimental verification to reveal the anti-inflammatory ingredients and molecular mechanism of pycnogenol

Liu,

Shi,

Liu

et al. 2024

Front. Pharmacol.

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“…Firstly, MLIF-related drug targets were obtained from the PubChem database, Swiss Target Prediction and Pharm Mapper databases [17] [18] . Targets associated with TBI were collected from DisGeNET, Drug Bank, OMIM and TTD [19] .…”

Section: Network Pharmacology Analysis and Molecular Dockingmentioning

confidence: 99%

Network pharmacology and molecular docking–based investigation of monocyte locomotion inhibitory factor attenuates traumatic brain injury by regulating aquaporin 4 expression

Li,

Ma,

et al. 2024

Naunyn-Schmiedeberg's Arch Pharmacol

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Traumatic brain injury (TBI) is a significant cause of disability and mortality worldwide, and effective treatment options are currently limited. Monocyte locomotion inhibitor factor (MLIF), a small molecular pentapeptide, has demonstrated a protective effect against cerebral ischemia. This study aimed to investigate the protective effects of MLIF on TBI and explore its underlying mechanism of action. In animal experiments, we observed that administration of MLIF after TBI reduced brain water content and improved brain edema, suggesting a certain degree of protection against TBI. By utilizing of network pharmacology methodologies, we employed target screening techniques to identify the potential targets of MLIF in the context of TBI. As a result, we successfully enriched 10 signaling pathways that are closely associated with TBI. Furthermore, using molecular docking techniques, we identified AQP4 as one of the top 10 central genes discovered in this study.

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“…At present, the therapeutic effect of anti-inflammatory drugs has been fully confirmed. Dexamethasone, as a glucocorticoid, is mainly used to treat inflammatory diseases [ 6 ]. However, long-term use of such drugs usually leads to serious life-threatening side effects [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Based on Network Pharmacology and Molecular Docking, the Active Components, Targets, and Mechanisms of Flemingia philippinensis in Improving Inflammation Were Excavated

Zhang,

Zhou,

Zhang

et al. 2024

Nutrients

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Flemingia philippinensis, a polyphenol-rich plant, holds potential for improving inflammation, but its mechanisms are not well understood. Therefore, this study employed network pharmacology and molecular docking to explore the mechanism by which Flemingia philippinensis ameliorates inflammation. In this study, 29 kinds of active ingredients were obtained via data mining. Five main active components were screened out for improving inflammation, which were flemichin D, naringenin, chrysophanol, genistein and orobol. In total, 52 core targets were identified, including AKT serine/threonine kinase 1 (AKT1), tumor necrosis factor (TNF), B-cell lymphoma-2 (BCL2), serum albumin (ALB), and estrogen receptor 1 (ESR1). Gene ontology (GO) enrichment analysis identified 2331 entries related to biological processes, 98 entries associated with cellular components, and 203 entries linked to molecular functions. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis yielded 149 pathways, including those involved in EGFR tyrosine kinase inhibitor resistance, endocrine resistance, and the PI3K–Akt signaling pathway. Molecular docking results showed strong binding effects between the main active components and the core targets, with binding energies less than −5 kcal/mol. In summary, this study preliminarily elucidated the underlying mechanisms by which Flemingia philippinensis, through a multi-component, multi-target, and multi-pathway approach, ameliorates inflammation. This provides a theoretical foundation for the subsequent application of Flemingia philippinensis in inflammation amelioration.

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Investigation on the mechanism of 2,3,4′,5-Tetrahydroxystilbene 2-o-D-glucoside in the treatment of inflammation based on network pharmacology

Cited by 14 publications

References 50 publications

Integrating network pharmacology and experimental verification to reveal the anti-inflammatory ingredients and molecular mechanism of pycnogenol

Integrating network pharmacology and experimental verification to reveal the anti-inflammatory ingredients and molecular mechanism of pycnogenol

Network pharmacology and molecular docking–based investigation of monocyte locomotion inhibitory factor attenuates traumatic brain injury by regulating aquaporin 4 expression

Based on Network Pharmacology and Molecular Docking, the Active Components, Targets, and Mechanisms of Flemingia philippinensis in Improving Inflammation Were Excavated

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