In Silico Prediction of the Mode of Action of Viola odorata in Diabetes

Background. The metabolic syndrome increases the risk of different diseases such as type 2 diabetes. The prevalence of metabolic syndrome has rapidly grown and affected more than 230 million people worldwide. Viola odorata is a traditionally used plant for the treatment of diabetes; however, its mec...

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Main Authors: Manal Ali Buabeid, El-Shaimaa A. Arafa, Waseem Hassan, Ghulam Murtaza
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2020/2768403
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spelling doaj-cffbad3945cc44878d69417e053b43102020-11-25T04:03:18ZengHindawi LimitedBioMed Research International2314-61412020-01-01202010.1155/2020/27684032768403In Silico Prediction of the Mode of Action of Viola odorata in DiabetesManal Ali Buabeid0El-Shaimaa A. Arafa1Waseem Hassan2Ghulam Murtaza3College of Pharmacy and Health SciencesCollege of Pharmacy and Health SciencesDepartment of PharmacyDepartment of PharmacyBackground. The metabolic syndrome increases the risk of different diseases such as type 2 diabetes. The prevalence of metabolic syndrome has rapidly grown and affected more than 230 million people worldwide. Viola odorata is a traditionally used plant for the treatment of diabetes; however, its mechanism to manage diabetes is still unknown. Purpose. This study was designed to systematically assess the mechanism of action of Viola odorata in diabetes. Methods. An extensive literature search was made to establish an ingredient-target database of Viola odorata. Of these, targets related to diabetes were identified and used to develop a protein-protein interaction network (PPIN) by utilizing the STITCH database. The obtained PPIN was assessed through Gene Ontology (GO) enrichment analysis based on ClueGO plugin. Results. According to the acquired data, there were about 143 chemical constituents present in Viola odorata having 119 protein targets. Of these, 31 targets were established to give the pharmacological effect against diabetes. The UniProt database was used for screening of 31 targets, out of which Homo sapiens contained 22 targets. Ultimately, 207 GO terms, grouped into 41 clusters, were found by gene analysis, and most of them were found to be linked with diabetes. According to findings, several proteins including TP53, BCL2, CDKN1A, 1L6, CCND1, CDKN2A, and RB1 have a significant role in the treatment of diabetes by Viola odorata. Conclusion. The possible activity of Viola odorata in the management of diabetes may be mediated by several molecular mechanisms, including the glutamine metabolic process, IRE1-mediated unfolded protein response, and pentose metabolic process.http://dx.doi.org/10.1155/2020/2768403
collection DOAJ
language English
format Article
sources DOAJ
author Manal Ali Buabeid
El-Shaimaa A. Arafa
Waseem Hassan
Ghulam Murtaza
spellingShingle Manal Ali Buabeid
El-Shaimaa A. Arafa
Waseem Hassan
Ghulam Murtaza
In Silico Prediction of the Mode of Action of Viola odorata in Diabetes
BioMed Research International
author_facet Manal Ali Buabeid
El-Shaimaa A. Arafa
Waseem Hassan
Ghulam Murtaza
author_sort Manal Ali Buabeid
title In Silico Prediction of the Mode of Action of Viola odorata in Diabetes
title_short In Silico Prediction of the Mode of Action of Viola odorata in Diabetes
title_full In Silico Prediction of the Mode of Action of Viola odorata in Diabetes
title_fullStr In Silico Prediction of the Mode of Action of Viola odorata in Diabetes
title_full_unstemmed In Silico Prediction of the Mode of Action of Viola odorata in Diabetes
title_sort in silico prediction of the mode of action of viola odorata in diabetes
publisher Hindawi Limited
series BioMed Research International
issn 2314-6141
publishDate 2020-01-01
description Background. The metabolic syndrome increases the risk of different diseases such as type 2 diabetes. The prevalence of metabolic syndrome has rapidly grown and affected more than 230 million people worldwide. Viola odorata is a traditionally used plant for the treatment of diabetes; however, its mechanism to manage diabetes is still unknown. Purpose. This study was designed to systematically assess the mechanism of action of Viola odorata in diabetes. Methods. An extensive literature search was made to establish an ingredient-target database of Viola odorata. Of these, targets related to diabetes were identified and used to develop a protein-protein interaction network (PPIN) by utilizing the STITCH database. The obtained PPIN was assessed through Gene Ontology (GO) enrichment analysis based on ClueGO plugin. Results. According to the acquired data, there were about 143 chemical constituents present in Viola odorata having 119 protein targets. Of these, 31 targets were established to give the pharmacological effect against diabetes. The UniProt database was used for screening of 31 targets, out of which Homo sapiens contained 22 targets. Ultimately, 207 GO terms, grouped into 41 clusters, were found by gene analysis, and most of them were found to be linked with diabetes. According to findings, several proteins including TP53, BCL2, CDKN1A, 1L6, CCND1, CDKN2A, and RB1 have a significant role in the treatment of diabetes by Viola odorata. Conclusion. The possible activity of Viola odorata in the management of diabetes may be mediated by several molecular mechanisms, including the glutamine metabolic process, IRE1-mediated unfolded protein response, and pentose metabolic process.
url http://dx.doi.org/10.1155/2020/2768403
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