Optimization of Centella asiatica (L.) urban dosage in improving memory of mice with brain necrosis model

Muchtaromah, Bayyinatul, Fajriyah, Ely Nuril, Azmah, Wahyuni Risalatul, Duhita, Maharani Retna ORCID: https://orcid.org/0000-0002-1651-2903, Ansori, Arif Nur Muhammad and Sharmin, Tanjina (2023) Optimization of Centella asiatica (L.) urban dosage in improving memory of mice with brain necrosis model. Presented at The 12th International Conference on Green Technology (ICGT 2022), 26-27 Oct 2022, Malang, Indonesia.

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Brain necrosis in mice can be triggered by injection of streptozotocin (STZ), causing nerve cell injury that can trigger neurodegenerative diseases. Centella asiatica (L.) Urban is one of the herbs whose triterpenoid compounds have neuroregenerative activity, so it is widely used as Centella asiatica (L.) Urban extract (EkCa). The aim of this study was to determine the optimization of EkCa dose in improving memory of mice in brain necrosis model. The design of this study was completely randomized design with 36 male Balb/C strain mice weighing 25–30 g with 6 treatments (control, EkCa 20, 30, 40 mg/kgBW, and metformin 25 mg) with each treatment repeated 6 times. Brain necrosis mice were made by injecting multiple doses of STZ intraperitoneally at a dose of 40 mg/kgBW for 3 days and 60 mg/kgBW for 2 consecutive days. Memory was obtained from the calculation of retention time (RT-LT > 0). Data analysis used One Way Anova test followed with Duncan test. The results showed that the optimum dose was 30 mg/kgBW (P < 0.05). From the results of the study, it can be concluded that EkCa has neuroregenerative activity so that it can improve the memory of mice with brain necrosis model.

Item Type: Conference (Speech)
Keywords: brain necrosis; Centella asiatica (L.) Urban extract (EkCa); memory; streptozotocin
Subjects: 06 BIOLOGICAL SCIENCES > 0601 Biochemistry and Cell Biology > 060199 Biochemistry and Cell Biology not elsewhere classified
Divisions: Faculty of Mathematics and Sciences > Department of Biology
Depositing User: Maharani Retna Duhita
Date Deposited: 05 Jun 2023 13:56


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