Literature DB >> 34809966

Network pharmacology-based analysis of the anti-hyperglycemic active ingredients of roselle and experimental validation.

Bingxuan Niu1, Xu Xie2, Xiaoming Xiong2, Junlin Jiang3.   

Abstract

Diabetes mellitus is one of the top four leading causes of death among noncommunicable diseases worldwide, according to the World Hibiscus sabdariffa 2019. Roselle (Hibiscus sabdariffa L.), a traditional herbal medicine, has shown significant clinical anti-hyperglycemic efficacy. However, the mechanism of the treatment is not yet clear. We found that Roselle has a certain protective effect on vascular endothelial cells through this study. This study was based on network pharmacology and experimental validation. The present study made a comprehensive analysis by combining active ingredient screening, target prediction and signaling pathway analysis to elucidate the active ingredients and possible molecular mechanism of roselle for the first time, which provided theoretical and experimental basis for the development and application of roselle as an antidiabetic drug.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Active ingredients; HIF-1α signaling pathway; Hyperglycemia; Network pharmacology; Roselle

Mesh:

Substances:

Year:  2021        PMID: 34809966     DOI: 10.1016/j.compbiomed.2021.104636

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  2 in total

Review 1.  Hibiscus sabdariffa in Diabetes Prevention and Treatment-Does It Work? An Evidence-Based Review.

Authors:  Daniel Jamrozik; Weronika Borymska; Ilona Kaczmarczyk-Żebrowska
Journal:  Foods       Date:  2022-07-19

Review 2.  Exploring the Active Ingredients and Mechanism of Action of Huanglian Huazhuo Capsule for the Treatment of Obese Type-2 Diabetes Mellitus Based on Using Network Pharmacology and Molecular Docking.

Authors:  Na Wang; Wen-Bo An; Nan Zhou; Jing-Chun Fan; Xin Feng; Wei-Jie Yang
Journal:  Evid Based Complement Alternat Med       Date:  2022-10-03       Impact factor: 2.650

  2 in total

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