Explore the Lipid-Lowering and Weight-Reducing Mechanism of Lotus Leaf Based on Network Pharmacology and Molecular Docking

Objective. To predict the target of the active ingredient of lotus leaf for lowering fat and losing weight. Explore its multicomponent, multitarget, multipath mechanism. Methods. Screen the main active ingredients of lotus leaves through the TCMSP database, and use the TCMSP database to predict the...

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Autores principales:	Guangjiao Zhou, Xuehua Feng, Ali Tao
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Other systems of medicine RZ201-999
Acceso en línea:	https://doaj.org/article/c96ba30acc8743a1a4cd7d10b1c2d4ae
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spelling	oai:doaj.org-article:c96ba30acc8743a1a4cd7d10b1c2d4ae2021-11-08T02:35:58ZExplore the Lipid-Lowering and Weight-Reducing Mechanism of Lotus Leaf Based on Network Pharmacology and Molecular Docking1741-428810.1155/2021/1464027https://doaj.org/article/c96ba30acc8743a1a4cd7d10b1c2d4ae2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1464027https://doaj.org/toc/1741-4288Objective. To predict the target of the active ingredient of lotus leaf for lowering fat and losing weight. Explore its multicomponent, multitarget, multipath mechanism. Methods. Screen the main active ingredients of lotus leaves through the TCMSP database, and use the TCMSP database to predict the potential targets of the active ingredients. Obtain obesity-related targets from the human genome annotation (GeneCards) database. Use Venn software to take the intersection of the two to obtain the effect target of the lotus leaf lipid-lowering and weight-reducing effects. Use Cytoscape 3.6.0 software to construct an effective ingredient-target network. Use the STRING database to construct an intersection target protein interaction (PPI) network, visualize it with Cytoscape 3.6.0 software, and perform network topology analysis to obtain the core target. Use the DAVID database to perform gene ontology (GO) and metabolic pathway (KEGG) enrichment analysis for the above targets. Use AutoDockTools software for molecular docking to verify the binding strength. Results. A total of 15 main active ingredients such as quercetin, isorhamnetin, sitosterol, and kaempferol were obtained, which can act on 135 targets related to obesity. These targets are significantly enriched in multiple GO and KEGG entries such as hypoxia response, positive regulation of gene expression, response to toxic substances, aging, and positive regulation of RNA polymerase II promoter transcription. Molecular docking shows that flavonoids such as quercetin have better binding to the target protein Akt1. Conclusion. The lipid-lowering and weight-reducing effects of lotus leaf embody the characteristics of multicomponent, multitarget, and multipathway of traditional Chinese medicine, which provides a certain scientific basis for the screening and in-depth study of the effective ingredients of lotus leaf.Guangjiao ZhouXuehua FengAli TaoHindawi LimitedarticleOther systems of medicineRZ201-999ENEvidence-Based Complementary and Alternative Medicine, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Other systems of medicine RZ201-999
spellingShingle	Other systems of medicine RZ201-999 Guangjiao Zhou Xuehua Feng Ali Tao Explore the Lipid-Lowering and Weight-Reducing Mechanism of Lotus Leaf Based on Network Pharmacology and Molecular Docking
description	Objective. To predict the target of the active ingredient of lotus leaf for lowering fat and losing weight. Explore its multicomponent, multitarget, multipath mechanism. Methods. Screen the main active ingredients of lotus leaves through the TCMSP database, and use the TCMSP database to predict the potential targets of the active ingredients. Obtain obesity-related targets from the human genome annotation (GeneCards) database. Use Venn software to take the intersection of the two to obtain the effect target of the lotus leaf lipid-lowering and weight-reducing effects. Use Cytoscape 3.6.0 software to construct an effective ingredient-target network. Use the STRING database to construct an intersection target protein interaction (PPI) network, visualize it with Cytoscape 3.6.0 software, and perform network topology analysis to obtain the core target. Use the DAVID database to perform gene ontology (GO) and metabolic pathway (KEGG) enrichment analysis for the above targets. Use AutoDockTools software for molecular docking to verify the binding strength. Results. A total of 15 main active ingredients such as quercetin, isorhamnetin, sitosterol, and kaempferol were obtained, which can act on 135 targets related to obesity. These targets are significantly enriched in multiple GO and KEGG entries such as hypoxia response, positive regulation of gene expression, response to toxic substances, aging, and positive regulation of RNA polymerase II promoter transcription. Molecular docking shows that flavonoids such as quercetin have better binding to the target protein Akt1. Conclusion. The lipid-lowering and weight-reducing effects of lotus leaf embody the characteristics of multicomponent, multitarget, and multipathway of traditional Chinese medicine, which provides a certain scientific basis for the screening and in-depth study of the effective ingredients of lotus leaf.
format	article
author	Guangjiao Zhou Xuehua Feng Ali Tao
author_facet	Guangjiao Zhou Xuehua Feng Ali Tao
author_sort	Guangjiao Zhou
title	Explore the Lipid-Lowering and Weight-Reducing Mechanism of Lotus Leaf Based on Network Pharmacology and Molecular Docking
title_short	Explore the Lipid-Lowering and Weight-Reducing Mechanism of Lotus Leaf Based on Network Pharmacology and Molecular Docking
title_full	Explore the Lipid-Lowering and Weight-Reducing Mechanism of Lotus Leaf Based on Network Pharmacology and Molecular Docking
title_fullStr	Explore the Lipid-Lowering and Weight-Reducing Mechanism of Lotus Leaf Based on Network Pharmacology and Molecular Docking
title_full_unstemmed	Explore the Lipid-Lowering and Weight-Reducing Mechanism of Lotus Leaf Based on Network Pharmacology and Molecular Docking
title_sort	explore the lipid-lowering and weight-reducing mechanism of lotus leaf based on network pharmacology and molecular docking
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/c96ba30acc8743a1a4cd7d10b1c2d4ae
work_keys_str_mv	AT guangjiaozhou explorethelipidloweringandweightreducingmechanismoflotusleafbasedonnetworkpharmacologyandmoleculardocking AT xuehuafeng explorethelipidloweringandweightreducingmechanismoflotusleafbasedonnetworkpharmacologyandmoleculardocking AT alitao explorethelipidloweringandweightreducingmechanismoflotusleafbasedonnetworkpharmacologyandmoleculardocking
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Explore the Lipid-Lowering and Weight-Reducing Mechanism of Lotus Leaf Based on Network Pharmacology and Molecular Docking

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