Investigation of α-glucosidase inhibitory metabolites from Tetracera scandens leaves by GC–MS metabolite profiling and docking studies

Stone leaf (Tetracera scandens) is a Southeast Asian medicinal plant that has been traditionally used for the management of diabetes mellitus. The underlying mechanisms of the antidiabetic activity have not been fully explored yet. Hence, this study aimed to evaluate the α-glucosidase inhibitory pot...

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Main Authors: Nokhala, Ahmed, Siddiqui, Mohammad Jamshed, Ahmed, Qamar Uddin, Ahamad Bustamam, Muhammad Safwan, Zakaria, Zainul Amiruddin
Format: Article
Language:English
Published: MDPI 2020
Online Access:http://psasir.upm.edu.my/id/eprint/38156/
http://psasir.upm.edu.my/id/eprint/38156/1/38156.pdf
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author Nokhala, Ahmed
Siddiqui, Mohammad Jamshed
Ahmed, Qamar Uddin
Ahamad Bustamam, Muhammad Safwan
Zakaria, Zainul Amiruddin
author_facet Nokhala, Ahmed
Siddiqui, Mohammad Jamshed
Ahmed, Qamar Uddin
Ahamad Bustamam, Muhammad Safwan
Zakaria, Zainul Amiruddin
author_sort Nokhala, Ahmed
building UPM Institutional Repository
collection Online Access
description Stone leaf (Tetracera scandens) is a Southeast Asian medicinal plant that has been traditionally used for the management of diabetes mellitus. The underlying mechanisms of the antidiabetic activity have not been fully explored yet. Hence, this study aimed to evaluate the α-glucosidase inhibitory potential of the hydromethanolic extracts of T. scandens leaves and to characterize the metabolites responsible for such activity through gas chromatography–mass spectrometry (GC–MS) metabolomics. Crude hydromethanolic extracts of different strengths were prepared and in vitro assayed for α-glucosidase inhibition. GC–MS analysis was further carried out and the mass spectral data were correlated to the corresponding α-glucosidase inhibitory IC50 values via an orthogonal partial least squares (OPLS) model. The 100%, 80%, 60% and 40% methanol extracts displayed potent α-glucosidase inhibitory potentials. Moreover, the established model identified 16 metabolites to be responsible for the α-glucosidase inhibitory activity of T. scandens. The putative α-glucosidase inhibitory metabolites showed moderate to high affinities (binding energies of −5.9 to −9.8 kcal/mol) upon docking into the active site of Saccharomyces cerevisiae isomaltase. To sum up, an OPLS model was developed as a rapid method to characterize the α-glucosidase inhibitory metabolites existing in the hydromethanolic extracts of T. scandens leaves based on GC–MS metabolite profiling.
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spelling upm-381562020-05-03T22:59:56Z http://psasir.upm.edu.my/id/eprint/38156/ Investigation of α-glucosidase inhibitory metabolites from Tetracera scandens leaves by GC–MS metabolite profiling and docking studies Nokhala, Ahmed Siddiqui, Mohammad Jamshed Ahmed, Qamar Uddin Ahamad Bustamam, Muhammad Safwan Zakaria, Zainul Amiruddin Stone leaf (Tetracera scandens) is a Southeast Asian medicinal plant that has been traditionally used for the management of diabetes mellitus. The underlying mechanisms of the antidiabetic activity have not been fully explored yet. Hence, this study aimed to evaluate the α-glucosidase inhibitory potential of the hydromethanolic extracts of T. scandens leaves and to characterize the metabolites responsible for such activity through gas chromatography–mass spectrometry (GC–MS) metabolomics. Crude hydromethanolic extracts of different strengths were prepared and in vitro assayed for α-glucosidase inhibition. GC–MS analysis was further carried out and the mass spectral data were correlated to the corresponding α-glucosidase inhibitory IC50 values via an orthogonal partial least squares (OPLS) model. The 100%, 80%, 60% and 40% methanol extracts displayed potent α-glucosidase inhibitory potentials. Moreover, the established model identified 16 metabolites to be responsible for the α-glucosidase inhibitory activity of T. scandens. The putative α-glucosidase inhibitory metabolites showed moderate to high affinities (binding energies of −5.9 to −9.8 kcal/mol) upon docking into the active site of Saccharomyces cerevisiae isomaltase. To sum up, an OPLS model was developed as a rapid method to characterize the α-glucosidase inhibitory metabolites existing in the hydromethanolic extracts of T. scandens leaves based on GC–MS metabolite profiling. MDPI 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/38156/1/38156.pdf Nokhala, Ahmed and Siddiqui, Mohammad Jamshed and Ahmed, Qamar Uddin and Ahamad Bustamam, Muhammad Safwan and Zakaria, Zainul Amiruddin (2020) Investigation of α-glucosidase inhibitory metabolites from Tetracera scandens leaves by GC–MS metabolite profiling and docking studies. Biomolecules, 10 (2). art. no. 287. pp. 1-17. ISSN 2218-273X https://www.mdpi.com/2218-273X/10/2/287 10.3390/biom10020287
spellingShingle Nokhala, Ahmed
Siddiqui, Mohammad Jamshed
Ahmed, Qamar Uddin
Ahamad Bustamam, Muhammad Safwan
Zakaria, Zainul Amiruddin
Investigation of α-glucosidase inhibitory metabolites from Tetracera scandens leaves by GC–MS metabolite profiling and docking studies
title Investigation of α-glucosidase inhibitory metabolites from Tetracera scandens leaves by GC–MS metabolite profiling and docking studies
title_full Investigation of α-glucosidase inhibitory metabolites from Tetracera scandens leaves by GC–MS metabolite profiling and docking studies
title_fullStr Investigation of α-glucosidase inhibitory metabolites from Tetracera scandens leaves by GC–MS metabolite profiling and docking studies
title_full_unstemmed Investigation of α-glucosidase inhibitory metabolites from Tetracera scandens leaves by GC–MS metabolite profiling and docking studies
title_short Investigation of α-glucosidase inhibitory metabolites from Tetracera scandens leaves by GC–MS metabolite profiling and docking studies
title_sort investigation of α-glucosidase inhibitory metabolites from tetracera scandens leaves by gc–ms metabolite profiling and docking studies
url http://psasir.upm.edu.my/id/eprint/38156/
http://psasir.upm.edu.my/id/eprint/38156/
http://psasir.upm.edu.my/id/eprint/38156/
http://psasir.upm.edu.my/id/eprint/38156/1/38156.pdf