Original ArticlePharmacognosy ResearchVol. 13 | Issue 4 | 2021 | pp. 208–217Open access
Phytochemical and Network Pharmacology Based Evaluation of Antiepileptic Potential of Identified Metabolites in Argimone mexicana
- 1,
- 2*
- 1 Department of Pharmacology, SGT College of Pharmacy, SGT University, Gurugram, Haryana, INDIA.
- 2 2Department of Pharmacognosy, SGT College of Pharmacy, SGT University, Gurugram, Haryana, INDIA.
Published in Pharmacognosy Research
Correspondence: Dinesh Kumar Yadav
2Department of Pharmacognosy, SGT College of Pharmacy, SGT University, Gurugram, Haryana, INDIA.
Email: dineshnbri08@gmail.com
Copyright: © 2021 Manuscript Technomedia. This is an open access article.
- Published:
- Oct 11, 2021
- Received:
- Jul 20, 2021
- Accepted:
- Sep 15, 2021
- DOI:
- 10.5530/pres.13.4.13
How to cite
Gahlot, V., & Yadav, D. K. (2021). Phytochemical and Network Pharmacology Based Evaluation of Antiepileptic Potential of Identified Metabolites in Argimone mexicana. Pharmacognosy Research, 13(4), 208–217. https://doi.org/10.5530/pres.13.4.13
Abstract
Background: Quality-based assessment of herbal drugs or products is being more concerning for their quality, safety and regulatory purpose. A. mexicana is a traditional herbal medicine that has a long history in the treatment of arthritis, anti-fungal anti-cancer and brain disorders. Aim: Due to lack of scientific evidence based on phytopharmacology, the study is aimed for phytochemical and antiepileptic evaluation of identified metabolites in A. mexicana. Materials and Methods: Phytochemical identification was done using MS, FTIR and 1H-NMR and quantitated using HPTLC densitometric analysis. Further, ADME and network pharmacology studies were performed to evaluate biological response of identified metabolites. Results: The resulted outcomes of the spectral analysis suggest isolated compounds as ferulic acid, caffeic acid, berberine and angoline. In HPTLC quantitative analysis, the content of ferulic acid, caffeic acid, berberine and angoline was found as 3.475 ± 0.028, 1.036 ± 0.013, 0.714 ± 0.014 and 0.738 ± 0.081 μg/mg of A. mexicana extract. In ADME analysis, berberine and angoline showed good bioavailable response while in network pharmacology analysis, except angoline, all the metabolites significantly interacted with several genes (SOD1, NOS, MAPK3, UGT1As, G6PD, ACOT2, BAAT etc) associated with brain ischemia, oxidative and inflammatory stress or the genes response for elimination of toxins from the body. Conclusion: Hence, the study enlightens that A. mexicana possess several major and minor metabolites and which can be the key parameter for further quality and regulatory based assessment of A. Mexicana and biological role against oxidative and inflammatory stress induced epileptic seizure.
Keywords
Subject
Article metadata
| Title | Phytochemical and Network Pharmacology Based Evaluation of Antiepileptic Potential of Identified Metabolites in Argimone mexicana |
|---|---|
| Authors | Vinod Gahlot; Dinesh Kumar Yadav |
| Affiliations | Department of Pharmacology, SGT College of Pharmacy, SGT University, Gurugram, Haryana, INDIA.; 2Department of Pharmacognosy, SGT College of Pharmacy, SGT University, Gurugram, Haryana, INDIA. |
| Corresponding author | dineshnbri08@gmail.com |
| Journal | Pharmacognosy Research |
| Volume / Issue | Vol. 13, Issue 4 (2021) |
Also in this issue
- Preventive Medicinal Plants and their Phytoconstituents against SARS-CoV-2/COVID-19pp. 173–191
- In-silico Molecular Docking Studies of some Isolated Phytochemicals from Biophytum veldkampii against Cyclooxygenase-II Enzyme and in vivo Anti-inflammatory Activitypp. 192–198
- Potential Cosmeceutical Applications and Evaluation of Human Skin Irritation of Tagetes erecta L. Flower Extractpp. 199–207
- Seasonal Variation of Phytochemicals in Four Selected Medicinal Plantspp. 218–226
- Trypanocidal Activity of Traditional Antiparasitic Medicinal Plants from the Amazonpp. 227–232
Readers Also Viewed
Development and Validation of UV/visible Spectrophotometric Method for Estimation of Piroxicam from Bulk and Formulation
Sandip Mohan Honmane, Kunal Rajaram Yadav, Yuvraj Dilip Dange
Apr 23, 2025
Effects of Artificial Intelligence on Academic Performance of Library and Information Science University Students: A Meta-Analysis (2023-2025)
Kayode Sunday John Dada
Aug 6, 2026
Bridging Innovation and Impact: A Multidisciplinary Approach to Contemporary Research Challenges
Mueen Ahmed KK
Aug 11, 2026