All systems operational
Q1 2025

Comparative evaluation of phytochemical screening, in vitro antioxidant &amp; α-Glucosidase inhibitory properties of <i>Ceiba pentandra</i> &amp; <i>Basella rubra</i> leaf extracts: Identification of active principles by Q-TOFLCMS, ADMET prediction &amp; molecular docking approach

Zahradifa Kaniabila Ananda · Taslima Begum · Mustofa Ahda · Mohd Salleh Rofiee · Syed Adnan Ali Shah · Mohd Zaki Salleh · Bader O Almutairi · Syed Najmul Hejaz Azmi · Pankaj Sah · Agustin Krisna Wardani · Alfi Khatib · Syed Atif Abbas · Md. Abdur Rashid Mia · Qamar Uddin Ahmed
10.25259/jksus_16_2024 392 Views 0 Citations
0
Citations
392
Views
Abstract


Ceiba pentandra and Basella rubra leaves are traditionally used in Indonesia to treat ailments like diabetes. This study aimed to validate their use by assessing their antioxidant and α-glucosidase inhibitory properties. Initially, maceration of the leaves of both plants yielded dichloromethane, methanol (MeOH), and aqueous extracts. These were phytochemically profiled, and the most active extracts underwent quadrupole time of flight- liquid chromatography mass spectrometry (Q-TOF LCMS) analysis to identify potentially active principles, followed by molecular docking to ascertain their mechanism of action. The results revealed that the aqueous and methanolic extracts of C. pentandra exhibited potent antioxidant activities, with IC50 values of 17.66 ± 0.7 and 53.58 ± 0.25 µg/mg ascorbic acid equivalent for ferric reducing antioxidant power, respectively. In comparison, the aqueous and methanolic extracts of B. rubra showed lower antioxidant potential, with values of 8.73 ± 0.1 and 10.17 ± 0.08 µg/mg AAE, respectively. Additionally, the DPPH assay displayed that the aqueous and methanolic extracts of C. pentandra had IC50 values of 157.32 ± 3.44 and 27.71 ± 1.54 µg/mL, respectively. In contrast, the aqueous and methanolic extracts of B. rubra had higher IC50 values of 661.78 ± 1.8 and 253.76 ± 2.4 µg/mL, respectively. Owing to their significantly higher antioxidant activity, the aqueous and methanolic extracts of C. pentandra leaves also displayed better α-glucosidase inhibitory effects compared to B. rubra, with IC50 values of 109.54 ± 1.72 and 10.78 ± 0.48 µg/mL, respectively. Q-TOF LCMS analysis of C. pentandra’s methanolic extract identified significant bioactive compounds, including m-coumaric acid (1), cis-β-d-Glucosyl-2-hydroxycinnamate (2), luteolin 7-rhamnosyl (1-&gt;6)galactoside (3), avenanthramide 2s (4), robinetin 3-rutinoside (5), melanoxetin (6), scutellarein 7-glucoside (7), torosaflavone B 3’-O-β-d-glucopyranoside (8), and 2’’-O-α-l-rhamnosyl-6-C-fucosyl-3’-methoxyluteoiin (9). Molecular docking analysis showed that compounds 7, 8, and 3 were the most active with protein 3A4A, having affinity energies of -9.7, -10.0, and -10.3 kcal/mol, respectively. These phenolic compounds could be safe α-glucosidase inhibitors for diabetes treatment.

Cite this Article (APA)
Zahradifa, K. A., Taslima, B., Mustofa, A., Mohd, S. R., Syed, A. A. S., Mohd, Z. S., Bader, O. A., Syed, N. H. A., Pankaj, S., Agustin, K. W., Alfi, K., Syed, A. A., Md., A. R. M., Qamar, U. A. (2025). Comparative evaluation of phytochemical screening, in vitro antioxidant & α-Glucosidase inhibitory properties of Ceiba pentandra & Basella rubra leaf extracts: Identification of active principles by Q-TOFLCMS, ADMET prediction & molecular docking approach. Journal of King Saud University – Science. https://doi.org/10.25259/jksus_16_2024
Related Papers
Short-term wind power prediction based on IBOA-AdaBoost-RVM
Yongliang Yuan; Qingkang Yang; Jianji Ren; Kunpeng Li; Zhenxi Wang; Yanan Li; Wu · 2024
33
cites
402
A parametrized approach to generalized fractional integral inequalities: Hermite–Hadamard and Maclau…
Abdelghani Lakhdari; Bandar Bin-Mohsin; Fahd Jarad; Hongyan Xu; Badreddine Mefta · 2024
20
cites
396
Modulatory effects of glutamic acid on growth, photosynthetic pigments, and stress responses in oliv…
Muhammad Hamzah Saleem; Sadia Zafar; Sadia Javed; Muhammad Anas; Temoor Ahmed; S · 2024
19
cites
401
Cloud spot instance price forecasting multi-headed models tuned using modified PSO
Mohamed Salb; Luka Jovanovic; Ali Elsadai; Nebojsa Bacanin; Vladimir Simic; Drag · 2024
17
cites
401
16
cites
401
Access
View Full Text via DOI
Published in
ISSN 1018-3647
Quartile Q1
AMS Score 100
Field Natural Sciences
Publisher King Saud University
Country 🇸🇦 Saudi Arabia
View Journal Profile →
Authors
Publication Details
Year 2025
Language English
Added 14 Jul 2026