Network pharmacology-based analysis of the anti-hyperglycemic active ingredients of roselle and experimental validation
Introduction
Diabetes mellitus is one of the top four leading causes of death among noncommunicable diseases worldwide, according to the World Health Statistics 2019. It is characterized by hyperglycemia due to chronic and/or relative insulin insufficiency. Persistent hyperglycemia is very likely to result in vascular damage, which leads to a series of diabetic complications in the heart, kidneys, peripheral nerves, retina, etc. [[1], [2], [3]]. Currently, the number of patients with diabetes mellitus is increasing at an alarming rate worldwide; thus, there is a global unmet medical need to find therapeutic strategies for the regulation of glucose levels [4,5]. However, no drugs have been found to effectively improve the condition and quality of life of patients with diabetes so far.
Compared with currently used anti-diabetic drugs, traditional Chinese herbal medicines have become attractive as therapeutic agents against diabetes because of their multi-component, multi-target, and multi-pathway characteristics [[6], [7], [8]]. Network pharmacology, first proposed by Hopkins in 2007, is a promising emerging field and an advanced approach to discover active substances and reveal the pharmacological mechanisms of Chinese herbal medicines through the construction of drug-target-disease interaction networks. In previous studies, network pharmacology has been successfully applied to explore the pharmacodynamic basis and mechanisms of Chinese herbal medicines, such as Epimedii Herba for the treatment of Alzheimer's disease [9], icariin for the treatment of ovarian cancer [10], and uncaria alkaloids for the treatment of hypertension [11].
Roselle (Hibiscus sabdariffa L.), a famous traditional Chinese medicine, is widely grown in tropical and subtropical regions, including West Africa, Southeast Asia (e.g., in India, Thailand, and China), and Central America. The flower calyces, buds, seeds, and stems of roselle are traditionally used to prepare food, beverages, and herbal medicines. Evidence has shown that roselle can exert a variety of pharmacological effects, including anti-cancer, anti-bacterial, anti-obesity, anti-hypertensive, and anti-diabetic effects [[12], [13], [14], [15], [16]]. However, the active ingredients and pharmacological mechanisms of roselle associated with its anti-diabetic effects are still poorly known. Therefore, in the present study, we sought to identify the hypoglycemic active ingredients and potential targets of roselle extract through a network pharmacology approach and subsequent experimental validation (Fig. 1).
Section snippets
Software and network databases
The ChemDraw software (Version 15.0, CambridgeSoft Corporation), Open Babel GUI software (Version 2.4.1), Cytoscape software (Version 3.5, the Cytoscape Consortium), PharmMapper database (Version 2018, http://www.lilab-ecust.cn/pharmmapper/), DrugBank database (Version 5.0, https://www.drugbank.ca/), STRING database (Version 10.5, http://www.string-db.org/), UniProtKB database (http://www.uniprot.org/), TCMSP (http://lsp.nwu.edu.cn), TCMID (http://tcm.cmu.edu.tw/), and KEGG database (//www.kegg.jp/
Active ingredients and target information
A total of 119 ingredients of roselle were identified by consulting the literature [17,18]. In this study, we focused on the anti-hyperglycemic effects of roselle. The targets of each compound found in roselle were retrieved from the PharmMapper database by selecting “Homo sapiens” as organism. This database enables to identify potential targets of given drugs or natural products by pharmacophore modeling based on a ligand-based method [[21], [22], [23]]. The parameter matching score (fit
Discussion
In this study, a network pharmacology approach combined with experimental validation was used to study the hypoglycemic active components and possible anti-diabetic pharmacological mechanisms of roselle. According to our network analysis results, there are 50 potential active components and nine targets with anti-hyperglycemic effects in roselle.
The 50 active components were found to be mainly phenols, organic acids, and esters. Roselle calyces are traditionally consumed worldwide for the
Conclusion
In this study, a comprehensive analysis combining active ingredient screening, target prediction, and signaling pathway analysis was performed for the first time to pinpoint the potential active ingredients and elucidate the possible molecular mechanisms of the anti-diabetic activity of roselle. This study provides a theoretical and experimental basis for the development and application of roselle as an anti-diabetic drug. The major limitation of the current study is the lack of animal and cell
Declaration of competing interest
The authors declare that there are no conflicts of interest.
Acknowledgments
This work was supported by a grant from the National Nature Science of China (No. 81673432) and the Natural Science Foundation of Hunan Province, China (No. 2018JJ2543).
References (63)
- et al.
Glycaemic variability in diabetes: clinical and therapeutic implications
Lancet. Diabetes. Endocrinol.
(2019) - et al.
Network-based drug discovery: coupling network pharmacology with phenotypic screening for neuronal excitability
J. Mol. Biol.
(2018) - et al.
An integrative metabolomics and network pharmacology method for exploring the effect and mechanism of Radix Bupleuri and Radix Paeoniae Alba on anti-depression
J. Pharmaceut. Biomed. Anal.
(2020) - et al.
Study on the regulatory mechanism and experimental verification of icariin for the treatment of ovarian cancer based on network pharmacology
J. Ethnopharmacol.
(2020) - et al.
Effect of stevia and citric acid on the stability of phenolic compounds and in vitro antioxidant and antidiabetic capacity of a roselle (Hibiscus sabdariffa L.) beverage
Food Chem.
(2015) - et al.
Hibiscus sabdariffa L. - a phytochemical and pharmacological review
Food Chem.
(2014) - et al.
Quantification of the polyphenolic fraction and in vitro antioxidant and in vivo anti-hyperlipemic activities of Hibiscus sabdariffa aqueous extract
Food Res. Int.
(2011) Systems pharmacology-towards the modeling of network interactions
Eur. J. Pharmaceut. Sci.
(2016)- et al.
Hypoxia-inducible factor-1α: a promising therapeutic target for vasculopathy in diabetic retinopathy
Pharmacol. Res.
(2020) - et al.
The correlation between hypoxia-inducible factor-1α, matrix metalloproteinase-9 and functional recovery following chronic spinal cord compression
Brain Res.
(2019)
Novel repair mechanisms in a renal ischaemia/reperfusion model: subsequent saxagliptin treatment modulates the pro-angiogenic GLP-1/cAMP/VEGF, ANP/eNOS/NO, SDF-1α/CXCR4, and Kim-1/STAT3/HIF-1α/VEGF/eNOS pathways
Eur. J. Pharmacol.
The prebiotic properties of Hibiscus sabdariffa extract contribute to the beneficial effects in diet-induced obesity in mice
Food Res. Int.
Mechanisms of antidiabetic effects of flavonoid rutin
Biomed. Pharmacother.
Ellagic acid protects against diabetes-associated behavioral deficits in rats: possible involved mechanisms
Life Sci.
High glucose activates HIF-1-mediated signal transduction in glomerular mesangial cells through a carbohydrate response element binding protein
Kidney Int.
Hypoxia-inducible factor 1α regulates a SOCS3-STAT3-adiponectin signal transduction pathway in adipocytes
J. Biol. Chem.
Role of the PI3K/AKT (mTOR and GSK3β) signaling pathway and photobiomodulation in diabetic wound healing
Cytokine Growth Factor Rev.
Epidemiology of obesity and diabetes and their cardiovascular complications
Circ. Res.
Clinical update: cardiovascular disease in diabetes mellitus: atherosclerotic cardiovascular disease and heart failure in type 2 diabetes mellitus - mechanisms, management, and clinical considerations
Circulation
Diabetes healthcare professionals use multiple continuous glucose monitoring data indicators to assess glucose management
J. Diabetes. Sci. Technol.
Alarm settings of continuous glucose monitoring systems and associations to glucose outcomes in type 1 diabetes
Endocr. J. Soc.
A network pharmacology approach to establish the pharmacological mechanism of JiaWeiXianJiTang on inflammatory bowel disease
Biomed. Rep.
A network pharmacological approach to investigate the mechanism of action of active ingredients of epimedii herba and their potential targets in treatment of Alzheimer's disease
Med. Sci. Mon. Int. Med. J. Exp. Clin. Res.
A network-based approach to explore the mechanisms of uncaria alkaloids in treating hypertension and alleviating Alzheimer's disease
Int. J. Mol. Sci.
Hypolipidemic and antioxidant effects of ethanolic extract from dried calyx of Hibiscus sabdariffa in alloxan-induced diabetic rats
Fundam. Clin. Pharmacol.
In vivo anti-staphylococcal activity of roselle (Hibiscus sabdariffa L.) calyx extract in drosophila model of infection
J. Herbmed. Pharmacol.
Occurrence of root rot and vascular wilt diseases in roselle (Hibiscus sabdariffa L.) in upper Egypt
MYCOBIOLOGY
Antimicrobial effect of roselle (Hibiscus sabdariffa L.) water fraction against pseudomonas aeruginosa using drosophila infection model
Biointerface Res. Appl. Chem.
Study on Furundu, A traditional sudanese fermented roselle (Hibiscus sabdariffa L.) seed: effect on in vitro protein digestibility, chemical composition, and functional properties of the total proteins
J. Agric. Food Chem.
Aqueous extracts of Roselle (Hibiscus sabdariffa Linn.) varieties inhibit α-amylase and α-glucosidase activities in vitro
J. Med. Food
Truly target-focused pharmacophore modeling: a novel tool for mapping intermolecular surfaces
Molecules
Cited by (14)
Treatment of diabetic retinopathy with herbs for tonifying kidney and activating blood circulation: A review of pharmacological studies
2024, Journal of EthnopharmacologyCrosstalk between autophagy inhibitor and salidroside-induced apoptosis: A novel strategy for autophagy-based treatment of hepatocellular cancer
2023, International ImmunopharmacologyMechanisms underlying the therapeutic effects of Qingfeiyin in treating acute lung injury based on GEO datasets, network pharmacology and molecular docking
2022, Computers in Biology and MedicineCitation Excerpt :This approach focuses on multi-component, multi-channel and multi-target synergy, and is therefore well-suited for analyses of TCM [15,16]. With the recent merging of bioinformatics, network pharmacology based on computational prediction has become a robust method to systematically reveal the biological mechanisms underlying complex diseases and drug effects at the molecular level [17,18]. Network pharmacology is increasingly used to investigate the mechanisms underlying the therapeutic effects of TCM in various diseases [19,20].