In-silico prediction analysis of polyphenolic contents of ethanolic extract of Moringa oleifera leaves

Introduction: Moringa oleifera is widely consumed as a source of nutrients and as traditional medicine for treating myriads of diseases in Southeast Asia, Africa, and South America. Polyphenols are abundantly found in the leaves of Moringa oleifera, particularly astragalin and quercetin, and have sh...

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Main Authors: Adamu, Umar Muhammad, Renggasamy, Ramesh, Stanslas, Johnson, Abdull Razis, Ahmad Faizal, Mohd Fauzi, Fazlin, Mardi Mulyani, Sri Wigati, Ramasamy, Rajesh
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Language:English
Published: UPM Press 2023
Online Access:http://psasir.upm.edu.my/id/eprint/110365/1/2023122608250002_2022-1326.pdf
http://psasir.upm.edu.my/id/eprint/110365/
https://medic.upm.edu.my/jurnal_kami/volume_19_2023/mjmhs_vol19_supp_16_december_2023-77004
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spelling my.upm.eprints.1103652024-09-04T04:18:05Z http://psasir.upm.edu.my/id/eprint/110365/ In-silico prediction analysis of polyphenolic contents of ethanolic extract of Moringa oleifera leaves Adamu, Umar Muhammad Renggasamy, Ramesh Stanslas, Johnson Abdull Razis, Ahmad Faizal Mohd Fauzi, Fazlin Mardi Mulyani, Sri Wigati Ramasamy, Rajesh Introduction: Moringa oleifera is widely consumed as a source of nutrients and as traditional medicine for treating myriads of diseases in Southeast Asia, Africa, and South America. Polyphenols are abundantly found in the leaves of Moringa oleifera, particularly astragalin and quercetin, and have shown antioxidant and anti-inflammatory activities. In the present study, the polyphenols in Moringa oleifera leaves were identified and quantified, followed by in-silico pharmacokinetics prediction. Methods: Moringa oleifera ethanolic leaf extract (MOEE) was prepared by macerating dry powdered leaves of Moringa oleifera in 70 ethanol, then subjected to ultra-high-performance liquid chromatography-mass spectrometry (UPHLC-MS/MS) to identify polyphenols and quantification by HPLC. In-silico pharmacokinetic prediction analysis of the polyphenols was performed using the SwissADME web tool. Results: Eight polyphenols were identified, among which astragalin and quercetin were quantified. In-silico prediction analysis using SwissADME demonstrates the drug-likeness of the polyphenols in MOEE based on their physicochemical and ADME (absorption, distribution, metabolism and excretion) properties. MOEE contains polyphenols that can serve as lead compound to developing drugs, but only some are predicted to have high GI absorption index demonstrating their utility in oral medication drug development. Moreover, all the polyphenols determined in this study are predicted to be non-brain permeant, demonstrating their limited utility in developing drugs that target brain-related pathologies. Conclusion: Eight polyphenols were identified by UHPLC/MS analysis of Moringa oleifera leaves. Their ADME pharmacokinetics properties predicted some of the polyphenols as favourable candidates for drug development and lead optimisation, thus positioning the Moringa oleifera as an important source of small molecules for drug development. UPM Press 2023-12 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/110365/1/2023122608250002_2022-1326.pdf Adamu, Umar Muhammad and Renggasamy, Ramesh and Stanslas, Johnson and Abdull Razis, Ahmad Faizal and Mohd Fauzi, Fazlin and Mardi Mulyani, Sri Wigati and Ramasamy, Rajesh (2023) In-silico prediction analysis of polyphenolic contents of ethanolic extract of Moringa oleifera leaves. Malaysian Journal of Medicine and Health Sciences, 19 (Suppl.16). pp. 9-15. ISSN 2636-9346 https://medic.upm.edu.my/jurnal_kami/volume_19_2023/mjmhs_vol19_supp_16_december_2023-77004 10.47836/mjmhs.19.s16.3
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Introduction: Moringa oleifera is widely consumed as a source of nutrients and as traditional medicine for treating myriads of diseases in Southeast Asia, Africa, and South America. Polyphenols are abundantly found in the leaves of Moringa oleifera, particularly astragalin and quercetin, and have shown antioxidant and anti-inflammatory activities. In the present study, the polyphenols in Moringa oleifera leaves were identified and quantified, followed by in-silico pharmacokinetics prediction. Methods: Moringa oleifera ethanolic leaf extract (MOEE) was prepared by macerating dry powdered leaves of Moringa oleifera in 70 ethanol, then subjected to ultra-high-performance liquid chromatography-mass spectrometry (UPHLC-MS/MS) to identify polyphenols and quantification by HPLC. In-silico pharmacokinetic prediction analysis of the polyphenols was performed using the SwissADME web tool. Results: Eight polyphenols were identified, among which astragalin and quercetin were quantified. In-silico prediction analysis using SwissADME demonstrates the drug-likeness of the polyphenols in MOEE based on their physicochemical and ADME (absorption, distribution, metabolism and excretion) properties. MOEE contains polyphenols that can serve as lead compound to developing drugs, but only some are predicted to have high GI absorption index demonstrating their utility in oral medication drug development. Moreover, all the polyphenols determined in this study are predicted to be non-brain permeant, demonstrating their limited utility in developing drugs that target brain-related pathologies. Conclusion: Eight polyphenols were identified by UHPLC/MS analysis of Moringa oleifera leaves. Their ADME pharmacokinetics properties predicted some of the polyphenols as favourable candidates for drug development and lead optimisation, thus positioning the Moringa oleifera as an important source of small molecules for drug development.
format Article
author Adamu, Umar Muhammad
Renggasamy, Ramesh
Stanslas, Johnson
Abdull Razis, Ahmad Faizal
Mohd Fauzi, Fazlin
Mardi Mulyani, Sri Wigati
Ramasamy, Rajesh
spellingShingle Adamu, Umar Muhammad
Renggasamy, Ramesh
Stanslas, Johnson
Abdull Razis, Ahmad Faizal
Mohd Fauzi, Fazlin
Mardi Mulyani, Sri Wigati
Ramasamy, Rajesh
In-silico prediction analysis of polyphenolic contents of ethanolic extract of Moringa oleifera leaves
author_facet Adamu, Umar Muhammad
Renggasamy, Ramesh
Stanslas, Johnson
Abdull Razis, Ahmad Faizal
Mohd Fauzi, Fazlin
Mardi Mulyani, Sri Wigati
Ramasamy, Rajesh
author_sort Adamu, Umar Muhammad
title In-silico prediction analysis of polyphenolic contents of ethanolic extract of Moringa oleifera leaves
title_short In-silico prediction analysis of polyphenolic contents of ethanolic extract of Moringa oleifera leaves
title_full In-silico prediction analysis of polyphenolic contents of ethanolic extract of Moringa oleifera leaves
title_fullStr In-silico prediction analysis of polyphenolic contents of ethanolic extract of Moringa oleifera leaves
title_full_unstemmed In-silico prediction analysis of polyphenolic contents of ethanolic extract of Moringa oleifera leaves
title_sort in-silico prediction analysis of polyphenolic contents of ethanolic extract of moringa oleifera leaves
publisher UPM Press
publishDate 2023
url http://psasir.upm.edu.my/id/eprint/110365/1/2023122608250002_2022-1326.pdf
http://psasir.upm.edu.my/id/eprint/110365/
https://medic.upm.edu.my/jurnal_kami/volume_19_2023/mjmhs_vol19_supp_16_december_2023-77004
_version_ 1811686066791383040