@article{KHARE_KHARE_2023, title={MEMORY ENHANCING ACTIVITY OF MADHUCA LONGIFOLIA ETHANOLIC LEAF EXTRACT (FLAVONOID FRACTION) AND ITS HPTLC}, volume={15}, url={https://journals.innovareacademics.in/index.php/ijcpr/article/view/47846}, DOI={10.22159/ijcpr.2023v15i2.2097}, abstractNote={<p><strong>Objective: </strong>The present study aimed at investigating the protective role of <em>Madhuca longifolia</em> ethanolic leaf extract flavonoid fraction against colchicine induced cognitive dysfunction and oxidative damage in swiss albino mice and to estimate the biochemical alterations in mice brain. HPTLC, total flavonoid and total phenols were also estimated in the study.</p> <p><strong>Methods: </strong>The analysis was conducted on a colchicine-induced model for 28 d. Morris water maze and passive avoidance paradigm were used for conducting behavioral experiments, while biochemical parameters such as nitric oxide and glutathione were also estimated. Swiss albino mice (48) were apportioned into eight sets, each consisting of six mice. ANOVA (one-way) was utilized and then followed by the Dunnett’s test and finally outcomes were analyzed.</p> <p><strong>Results: </strong>The total flavonoids content in <em>Madhuca longifolia </em>leaves was found to be (14.17±0.56 QE and 21.24±0.94 RE mg/g of dry material) and total phenolic compounds were 299.32±2.73 mg/g of dry material. <em>Madhuca longifolia </em>leaf extract indicated a substantial reduction in escape latency of mice in morris water maze. The transfer latency of mice in passive avoidance model showed a substantial increase.</p> <p><strong>Conclusion: </strong>The <em>Madhuca longifolia</em> leaf extract presented a substantial increase (<em>P</em><0.001) in GSH intensities and a major decline (<em>P</em><0.001) in total protein, NO and AChE. <em>Madhuca longifolia</em> has neuroprotective effect against memory damage caused by colchicine.</p>}, number={2}, journal={International Journal of Current Pharmaceutical Research}, author={KHARE, PRAGATI and KHARE, NOOPUR}, year={2023}, month={Mar.}, pages={51–58} }