Computation Screening of Multi-Target Antidiabetic Properties of Phytochemicals in Common Edible Mediterranean Plants.

DIA-DB web server antidiabetic activity diabetes flavonoids in silico study mechanism of action phenolic acids terpenes

Journal

Plants (Basel, Switzerland)
ISSN: 2223-7747
Titre abrégé: Plants (Basel)
Pays: Switzerland
ID NLM: 101596181

Informations de publication

Date de publication:
21 Jun 2022
Historique:
received: 30 05 2022
revised: 09 06 2022
accepted: 16 06 2022
entrez: 9 7 2022
pubmed: 10 7 2022
medline: 10 7 2022
Statut: epublish

Résumé

Diabetes mellitus is a metabolic disease and one of the leading causes of deaths worldwide. Numerous studies support that the Mediterranean diet has preventive and treatment effects on diabetes. These effects have been attributed to the special bioactive composition of Mediterranean foods. The objective of this work was to decipher the antidiabetic activity of Mediterranean edible plant materials using the DIA-DB inverse virtual screening web server. A literature review on the antidiabetic potential of Mediterranean plants was performed and twenty plants were selected for further examination. Subsequently, the most abundant flavonoids, phenolic acids, and terpenes in plant materials were studied to predict their antidiabetic activity. Results showed that flavonoids are the most active phytochemicals as they modulate the function of 17 protein-targets and present high structural similarity with antidiabetic drugs. Their antidiabetic effects are linked with three mechanisms of action, namely (i) regulation of insulin secretion/sensitivity, (ii) regulation of glucose metabolism, and (iii) regulation of lipid metabolism. Overall, the findings can be utilized to understand the antidiabetic activity of edible Mediterranean plants pinpointing the most active phytoconstituents.

Identifiants

pubmed: 35807588
pii: plants11131637
doi: 10.3390/plants11131637
pmc: PMC9269125
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Cyprus University of Technology
ID : EX200146
Organisme : FUNDACIÓN SÉNECA DE LA REGIÓN DE MURCIA
ID : 20988/PI/18

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Auteurs

Vlasios Goulas (V)

Department of Agricultural Sciences, Biotechnology and Food Science, Cyprus University of Technology, Lemesos 3603, Cyprus.

Antonio J Banegas-Luna (AJ)

Structural Bioinformatics and High Performance Computing (BIO-HPC) Research Group, UCAM Universidad Católica de Murcia, 30107 Guadalupe, Spain.

Athena Constantinou (A)

Department of Agricultural Sciences, Biotechnology and Food Science, Cyprus University of Technology, Lemesos 3603, Cyprus.

Horacio Pérez-Sánchez (H)

Structural Bioinformatics and High Performance Computing (BIO-HPC) Research Group, UCAM Universidad Católica de Murcia, 30107 Guadalupe, Spain.

Alexandra Barbouti (A)

Department of Anatomy-Histology-Embryology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece.

Classifications MeSH