Cargando…

Identification of α-Glucosidase Inhibitors from Scutellaria edelbergii: ESI-LC-MS and Computational Approach

The recent study investigated the in vitro anti-diabetic impact of the crude extract (MeOH) and subfractions ethyl acetate (EtOAc); chloroform; n-butanol; n-hexane; and aqueous fraction of S. edelbergii and processed the active EtOAc fraction for the identification of chemical constituents for the f...

Descripción completa

Detalles Bibliográficos
Autores principales: Shah, Muddaser, Rahman, Hazir, Khan, Ajmal, Bibi, Shabana, Ullah, Obaid, Ullah, Saeed, Ur Rehman, Najeeb, Murad, Waheed, Al-Harrasi, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879825/
https://www.ncbi.nlm.nih.gov/pubmed/35209111
http://dx.doi.org/10.3390/molecules27041322
_version_ 1784659003554398208
author Shah, Muddaser
Rahman, Hazir
Khan, Ajmal
Bibi, Shabana
Ullah, Obaid
Ullah, Saeed
Ur Rehman, Najeeb
Murad, Waheed
Al-Harrasi, Ahmed
author_facet Shah, Muddaser
Rahman, Hazir
Khan, Ajmal
Bibi, Shabana
Ullah, Obaid
Ullah, Saeed
Ur Rehman, Najeeb
Murad, Waheed
Al-Harrasi, Ahmed
author_sort Shah, Muddaser
collection PubMed
description The recent study investigated the in vitro anti-diabetic impact of the crude extract (MeOH) and subfractions ethyl acetate (EtOAc); chloroform; n-butanol; n-hexane; and aqueous fraction of S. edelbergii and processed the active EtOAc fraction for the identification of chemical constituents for the first time via ESI-LC-MS analysis through positive ionization mode (PIM) and negative ionization mode (NIM); the identified compounds were further validated through computational analysis via standard approaches. The crude extract and subfractions presented appreciable activity against the α-glucosidase inhibitory assay. However, the EtOAc fraction with IC(50) = 0.14 ± 0.06 µg/mL revealed the maximum potential among the fractions used, followed by the MeOH and n-hexane extract with IC(50) = 1.47 ± 0.14 and 2.18 ± 0.30 µg/mL, respectively. Moreover, the acarbose showed an IC(50) = 377.26 ± 1.20 µg/ mL whereas the least inhibition was observed for the chloroform fraction, with an IC(50) = 23.97 ± 0.14 µg/mL. Due to the significance of the EtOAc fraction, when profiled for its chemical constituents, it presented 16 compounds among which the flavonoid class was dominant, and offered eight compounds, of which six were identified in NIM, and two compounds in PIM. Moreover, five terpenoids were identified—three and two in NIM and PIM, respectively—as well as two alkaloids, both of which were detected in PIM. The EtOAc fraction also contained one phenol that was noticed in PIM. The detected flavonoids, terpenoids, alkaloids, and phenols are well-known for their diverse biomedical applications. The potent EtOAc fraction was submitted to computational analysis for further validation of α-glucosidase significance to profile the responsible compounds. The pharmacokinetic estimations and protein-ligand molecular docking results with the support of molecular dynamic simulation trajectories at 100 ns suggested that two bioactive compounds—dihydrocatalpol and leucosceptoside A—from the EtOAc fraction presented excellent drug-like properties and stable conformations; hence, these bioactive compounds could be potential inhibitors of alpha-glucosidase enzyme based on intermolecular interactions with significant residues, docking score, and binding free energy estimation. The stated findings reflect that S. edelbergii is a rich source of bioactive compounds offering potential cures for diabetes mellitus; in particular, dihydrocatalpol and leucosceptoside A could be excellent therapeutic options for the progress of novel drugs to overcome diabetes mellitus.
format Online
Article
Text
id pubmed-8879825
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-88798252022-02-26 Identification of α-Glucosidase Inhibitors from Scutellaria edelbergii: ESI-LC-MS and Computational Approach Shah, Muddaser Rahman, Hazir Khan, Ajmal Bibi, Shabana Ullah, Obaid Ullah, Saeed Ur Rehman, Najeeb Murad, Waheed Al-Harrasi, Ahmed Molecules Article The recent study investigated the in vitro anti-diabetic impact of the crude extract (MeOH) and subfractions ethyl acetate (EtOAc); chloroform; n-butanol; n-hexane; and aqueous fraction of S. edelbergii and processed the active EtOAc fraction for the identification of chemical constituents for the first time via ESI-LC-MS analysis through positive ionization mode (PIM) and negative ionization mode (NIM); the identified compounds were further validated through computational analysis via standard approaches. The crude extract and subfractions presented appreciable activity against the α-glucosidase inhibitory assay. However, the EtOAc fraction with IC(50) = 0.14 ± 0.06 µg/mL revealed the maximum potential among the fractions used, followed by the MeOH and n-hexane extract with IC(50) = 1.47 ± 0.14 and 2.18 ± 0.30 µg/mL, respectively. Moreover, the acarbose showed an IC(50) = 377.26 ± 1.20 µg/ mL whereas the least inhibition was observed for the chloroform fraction, with an IC(50) = 23.97 ± 0.14 µg/mL. Due to the significance of the EtOAc fraction, when profiled for its chemical constituents, it presented 16 compounds among which the flavonoid class was dominant, and offered eight compounds, of which six were identified in NIM, and two compounds in PIM. Moreover, five terpenoids were identified—three and two in NIM and PIM, respectively—as well as two alkaloids, both of which were detected in PIM. The EtOAc fraction also contained one phenol that was noticed in PIM. The detected flavonoids, terpenoids, alkaloids, and phenols are well-known for their diverse biomedical applications. The potent EtOAc fraction was submitted to computational analysis for further validation of α-glucosidase significance to profile the responsible compounds. The pharmacokinetic estimations and protein-ligand molecular docking results with the support of molecular dynamic simulation trajectories at 100 ns suggested that two bioactive compounds—dihydrocatalpol and leucosceptoside A—from the EtOAc fraction presented excellent drug-like properties and stable conformations; hence, these bioactive compounds could be potential inhibitors of alpha-glucosidase enzyme based on intermolecular interactions with significant residues, docking score, and binding free energy estimation. The stated findings reflect that S. edelbergii is a rich source of bioactive compounds offering potential cures for diabetes mellitus; in particular, dihydrocatalpol and leucosceptoside A could be excellent therapeutic options for the progress of novel drugs to overcome diabetes mellitus. MDPI 2022-02-16 /pmc/articles/PMC8879825/ /pubmed/35209111 http://dx.doi.org/10.3390/molecules27041322 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shah, Muddaser
Rahman, Hazir
Khan, Ajmal
Bibi, Shabana
Ullah, Obaid
Ullah, Saeed
Ur Rehman, Najeeb
Murad, Waheed
Al-Harrasi, Ahmed
Identification of α-Glucosidase Inhibitors from Scutellaria edelbergii: ESI-LC-MS and Computational Approach
title Identification of α-Glucosidase Inhibitors from Scutellaria edelbergii: ESI-LC-MS and Computational Approach
title_full Identification of α-Glucosidase Inhibitors from Scutellaria edelbergii: ESI-LC-MS and Computational Approach
title_fullStr Identification of α-Glucosidase Inhibitors from Scutellaria edelbergii: ESI-LC-MS and Computational Approach
title_full_unstemmed Identification of α-Glucosidase Inhibitors from Scutellaria edelbergii: ESI-LC-MS and Computational Approach
title_short Identification of α-Glucosidase Inhibitors from Scutellaria edelbergii: ESI-LC-MS and Computational Approach
title_sort identification of α-glucosidase inhibitors from scutellaria edelbergii: esi-lc-ms and computational approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879825/
https://www.ncbi.nlm.nih.gov/pubmed/35209111
http://dx.doi.org/10.3390/molecules27041322
work_keys_str_mv AT shahmuddaser identificationofaglucosidaseinhibitorsfromscutellariaedelbergiiesilcmsandcomputationalapproach
AT rahmanhazir identificationofaglucosidaseinhibitorsfromscutellariaedelbergiiesilcmsandcomputationalapproach
AT khanajmal identificationofaglucosidaseinhibitorsfromscutellariaedelbergiiesilcmsandcomputationalapproach
AT bibishabana identificationofaglucosidaseinhibitorsfromscutellariaedelbergiiesilcmsandcomputationalapproach
AT ullahobaid identificationofaglucosidaseinhibitorsfromscutellariaedelbergiiesilcmsandcomputationalapproach
AT ullahsaeed identificationofaglucosidaseinhibitorsfromscutellariaedelbergiiesilcmsandcomputationalapproach
AT urrehmannajeeb identificationofaglucosidaseinhibitorsfromscutellariaedelbergiiesilcmsandcomputationalapproach
AT muradwaheed identificationofaglucosidaseinhibitorsfromscutellariaedelbergiiesilcmsandcomputationalapproach
AT alharrasiahmed identificationofaglucosidaseinhibitorsfromscutellariaedelbergiiesilcmsandcomputationalapproach