Neuroprotective effect of alcoholic extract of Selaginella bryopteris leaves in experimental models of epilepsy
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.4.14Keywords:
Antiepileptic, Selaginella bryopteris leaves Extract, Seizure Model, Neuroprotection, LC-MSDimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Epilepsy, a neurological disorder, is characterized by recurrent, uncontrolled seizures due to an imbalance between inhibitory and excitatory neuronal interactions in the central nervous system (CNS). This study explores the neuroprotective effects of an alcoholic extract from Selaginella bryopteris leaves in experimental epilepsy models. Swiss albino mice (25–30 g) were used, and epilepsy was induced via pentylenetetrazol (PTZ, 60 mg/kg) and maximal electric shock (MES). The extract was administered orally at varying doses and compared with conventional antiepileptic drugs, phenytoin and diazepam. LC-MS analysis identified amentoflavone as a key bioactive compound with antiepileptic properties. The extract demonstrated significant dose-dependent protection in both PTZ and MES models, delaying convulsions in the PTZ model at 500 mg/kg, comparable to diazepam, and providing convulsion protection in the MES model similar to phenytoin. Additionally, the extract increased gamma-aminobutyric acid (GABA) and glutathione (GSH) levels while reducing lipid peroxidation (LPO) levels, indicating its neuroprotective properties. These findings suggest that S. bryopteris leaves possess significant antiepileptic properties and may serve as a promising treatment for epilepsy.Abstract
How to Cite
Downloads
Similar Articles
- K. Arunkumar, K. R. Shanthy, S. Lakshmisridevi, K. Thilagam, FR-CNN: The optimal method for slicing fifth-generation networks through the application of deep learning , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- Sathya R., Balamurugan P, Classification of glaucoma in retinal fundus images using integrated YOLO-V8 and deep CNN , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Neerav Nishant, Nisha Rathore, Vinay Kumar Nassa, Vijay Kumar Dwivedi, Thulasimani T, Surrya Prakash Dillibabu, Integrating machine learning and mathematical programming for efficient optimization of electric discharge machining technique , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- A. Basheer Ahamed, M. Mohamed Surputheen, M. Rajakumar, Quantitative transfer learning- based students sports interest prediction using deep spectral multi-perceptron neural network , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Thangatharani T, M. Subalakshmi, Development of an adaptive machine learning framework for real-time anomaly detection in cybersecurity , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- Vinodini R, Ritha W, Sasitharan Nagapan, An inventory model on the impact of green investment with deteriorating items and planned back orders for economic efficiency and environmental sustainability , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- Temesgen A. Asfaw, Deep learning hyperparameter’s impact on potato disease detection , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- P.K. Singh, Seema Kumari, Manish Kumar, Anil K. Gupta, Anant P. Vajpeyi, STIMULATORY ACTIVITY OF BARK EXTRACTS OF ANTHOCEPHALUS INDICUS ON PROTEIN PROFILE IN ALBINO RATS , The Scientific Temper: Vol. 1 No. 01 (2010): The Scientific Temper
- J. Mohan, R. Arun Kumar, In-vitro study on the antidiabetic property of Pisonia grandis , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Sowmiya M, Banu Rekha B, Malar E, Ensemble classifiers with hybrid feature selection approach for diagnosis of coronary artery disease , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
<< < 3 4 5 6 7 8 9 10 11 12 > >>
You may also start an advanced similarity search for this article.

