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ABSTRACT: Background
Peroxisome proliferator-activated receptor gamma (PPAR-γ) is reported to regulate insulin sensitivity and progression of Type 2 diabetes mellitus (T2DM). Hence the present study is aimed to identify PPAR-γ regulators from Murraya odorata Blanco and predict their role to manage T2DM.Methods
Multiple in-silico tools and databases like SwissTargetPrediction, ADVERPred, PubChem, and MolSoft, were used to retrieve the information related to bioactives, targets, druglikeness character, and probable side effects as applicable. Similarly, the Kyoto Encyclopedia of Genes and Genomes (KEGG) database was used to identify the regulated pathways. Further, the bioactives-protein-pathways network interaction was constructed using Cytoscape. Finally, molecular docking was performed using Autodock4.Results
Twenty-five bioactives were shortlisted in which six were predicted as PPAR-γ modulators. Among them, stigmasterol was predicted to possess the best binding affinity towards PPAR-γ and possessed no side effects. Similarly, n-hexadecanoic acid was predicted to modulate the highest number of proteins, and protein CD14 was targeted by the highest number of bioactives. Further, the PI3K-Akt pathway was predicted as the maximum modulated genes.Conclusions
The anti-diabetic property of the Murraya odorata Blanco of fruit pulp may be due to the presence of n-hexadecanoic acid and stigmasterol; may also involve in the regulation of the PI3K-Akt pathway which needs further investigated by in-vitro and in-vivo protocols.
SUBMITTER: Dwivedi PS
PROVIDER: S-EPMC8212318 | biostudies-literature | 2021 Jun
REPOSITORIES: biostudies-literature
Dwivedi Prarambh Sr PS Rasal V P VP Kotharkar Ekta E Nare Shailaja S Khanal Pukar P
Journal of diabetes and metabolic disorders 20210217 1
<h4>Background</h4>Peroxisome proliferator-activated receptor gamma (PPAR-γ) is reported to regulate insulin sensitivity and progression of Type 2 diabetes mellitus (T2DM). Hence the present study is aimed to identify PPAR-γ regulators from <i>Murraya odorata</i> Blanco and predict their role to manage T2DM.<h4>Methods</h4>Multiple <i>in-silico</i> tools and databases like SwissTargetPrediction, ADVERPred, PubChem, and MolSoft, were used to retrieve the information related to bioactives, targets ...[more]