Obesity is a global epidemic elevating the risk of various metabolic disorders. As there is a lack of effective drugs to treat obesity, we combined bioinformatics and reverse network pharmacology in this study to identify effective herbs to treat obesity. We identified 1011 differentially expressed genes (DEGs) of adipose tissue after weight loss by analyzing five expression profiles (GSE103766, GSE35411, GSE112307, GSE43471, and GSE35710) from the Gene Expression Omnibus (GEO) database. We identified 27 hub genes from the protein–protein interaction (PPI) network by performing MCODE using the Search Tool for the Retrieval of Interacting Genes (STRING) database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses revealed that these hub genes have roles in the extracellular matrix–receptor interaction, cholesterol metabolism, PI3K-Akt signaling pathway, etc. Ten herbs (Aloe, Portulacae Herba, Mori Follum, Silybum Marianum, Phyllanthi Fructus, Pollen Typhae, Ginkgo Semen, Leonuri Herba, Eriobotryae Folium, and Litseae Fructus) targeting the nine hub genes (COL1A1, MMP2, MMP9, SPP1, DNMT3B, MMP7, CETP, COL1A2, and MUC1) using six ingredients were identified as the key herbs. Quercetin and (-)-epigallocatechin-3-gallate were determined to be the key ingredients. Lastly, Ingredients-Targets, Herbs-Ingredients-Targets, and Herbs-Taste-Meridian Tropism networks were constructed using Cytoscape to elucidate this complex relationship. This study could help identify promising therapeutic targets and drugs to treat obesity.
Background: Obesity is a global epidemic. Since 1975, the global obesity rate has almost tripled. Although many systematic reviews and clinical trials have shown that traditional Chinese medicine (TCM) can effectively treat obesity, the effectiveness and safety of different academic schools of TCM in treating obesity have not been systematically evaluated.Methods: The retrieval language of this study was Chinese and English. From the date of creation of the following data to June 2023, the data of Medline, PubMed, Embase, Cochrane Science Network, China Biomedical Literature Database, Central Controlled Trial Registration Center, and China Science Journal Database were retrieved, respectively. This study included clinical randomized controlled trials related to the treatment of obesity by different academic schools of TCM. The main outcome measures were body mass index, waist circumference, hip circumference, waist hip ratio, body fat content, fasting blood glucose, glycosylated hemoglobin, and blood lipid level. In addition, we manually searched other resources, including reference lists of identified publications, conference articles, and gray literature.Results: This study will provide a more diverse choice of treatment options. Conclusion:The purpose of this study is to summarize and evaluate the effectiveness and safety of different academic schools of TCM in improving and treating obese patients from clinical trials, so as to provide more options for obesity treatment.
Obesity is a worldwide epidemic disease that increases the risk of various metabolic disorders. However, in the absence of ideal drugs for obesity, Chinese herbs and other natural materials have been explored for their potential obesity treatment and low-side effects. The focus of this research was to use bioinformatics and reverse network pharmacology to discover possible therapy and treatment targets for obesity. We identified differentially expressed genes (DEGs) of adipose tissue after weight-loss by analyzing the five expression profiles of the GEO database (GSE103766, GSE35411, GSE112307, GSE43471, and GSE35710). Protein–Protein Interaction (PPI) network was performed with the STRING, and the 27 hub genes were identified with the MCODE. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses revealed several biological features and potential mechanisms of these hub genes. Subsequently, the TCMSP platform was used to identify potential therapeutic herbs targeting hub genes. The top 10 key potential Chinese herbs were found and annotated with Chinese pharmaceutical properties (CMPs). Finally, the Herbs-Ingredient-Target Network and Herb-Taste-Meridian Tropism Network were constructed using Cytoscape to elucidate their complex relationship. Our outputs could provide new insights into strategies for treating obesity and screening targeted drugs.
Background: In recent years, the incidence of obesity patients has become younger and younger, and adolescents are gradually becoming one of the groups with a high incidence of obesity. Although several systematic reviews and clinical trials suggest that acupuncture and warm compresses may be effective in the treatment of obesity, the effectiveness and safety of acupuncture combined with warm compresses in the treatment of obesity insulin resistance (IR) in adolescents have not been systematically reviewed. Methods: The search language of this study is Chinese and English, and the data of Medline, PubMed, Embase, Cochrane Web of Science, China Biomedical Literature Database, Central Controlled Trial Registration Center, and China Scientific Journal Database were searched for this study respectively, from the date of creation of the above data to December 2022. Randomized controlled trials of acupuncture combined with warm compresses in adolescents with obese IR were included in this review. Main outcome measures were body mass index, waist circumference, hip circumference, waist-hip ratio, fasting blood glucose, glycosylated hemoglobin, IR index, body fat content, blood lipid level and blood pressure, etc. In addition, we manually retrieved other resources, including reference lists of identified publications, conference articles and gray literature. Results: This study will provide more clinical treatment ideas and options for adolescent obese IR patients. Conclusion: The purpose of this study is to summarize and evaluate the efficacy and safety of acupuncture combined with hot compress in treating obesity IR in adolescents from clinical trials.
Review question / Objective: It has been unclear the difference of different academic schools of traditional Chinese medicine in the treatment of obesity. This meta-analysis aimed to summarize the effect of different academic schools of traditional Chinese medicine on assess the impact of on fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), fasting insulin, and lipid profile, from clinical trials.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.