RESUMO
OBJECTIVE: The current study was structured to evaluate the neuroprotective properties of andrographolide in the context of aluminum chloride (AlCl3)-induced neurotoxicity, along with its concurrent impact on spatial memory impairment in Wistar rats. The present investigation elucidated the biochemical and neurobehavioral outcomes of andrographolide treatment in rats, emphasizing the areas of the brain associated with memory, i.e., the cortex and the hippocampus. MATERIALS AND METHODS: Prolonged dosing of AlCl3 (7 mg/kg) intraperitoneally for 10 days exhibited a substantial enhancement in the values of oxidative stress markers associated with a reduction in the concentrations of antioxidant enzymes within the brain. The selection of andrographolide doses (1, 2, and 3 mg/kg) was grounded in precedent safety and toxicity investigations, with subsequent oral administration. The evaluation of behavioral parameters, specifically spatial memory, was conducted through the utilization of the Radial Eight Arm Maze (RAM) test. On the concluding day of the experiment, the assessment encompassed biochemical parameter analysis and histological scrutiny of the brain tissue. RESULTS: The oral dosing of andrographolide at 1, 2, and 3 mg/kg, in conjunction with AlCl3, effectively mitigated the behavioral deficits induced by aluminum exposure. Notably, a significant suppression of NFκB was uncovered in the rats treated with andrographolide. Furthermore, histopathological examinations of the cortex and hippocampus of rat brains provided corroborative evidence, demonstrating that andrographolide substantially alleviated the toxic impact of AlCl3, thereby maintaining the typical histoarchitectural arrangement of these regions. CONCLUSION: These findings collectively suggest that andrographolide holds the potential to counteract memory impairment instigated by aluminum toxicity, accomplished through the modulation of NFκB activity and the amelioration of the adverse consequences of AlCl3 exposure.
RESUMO
OBJECTIVE: The growing prevalence of smartphones may prompt individuals with epilepsy to pursue unfulfilled healthcare requirements through mobile health (mHealth) apps, but the content and quality of these mHealth apps are rarely analysed. Hence, this study aimed to identify and assess the quality of epilepsy apps for patients with epilepsy (PWE), their caregivers, and healthcare practitioners (HCPs) available in the Play Store and App Store of India. METHODS: We performed a systematic search on the Google Play Store and Apple App Store of India to identify the mHealth apps for epilepsy which were released and updated till May 2023. The identified applications were downloaded and the quality was assessed using a Mobile app rating scale (MARS) for the overall quality, Aesthetics, Engagement, Functionality, and Information by three independent reviewers. The intraclass correlation coefficient (ICC) was calculated to assess the interrater reliability between the reviewers. An unpaired t-test was calculated to analyse the difference in mean scores for Android and iOS applications. RESULTS: The systematic search yielded a total of 2518 apps, out of which 26 were selected for inclusion in the study. Among these, 9 apps were compatible with Android, 11 with iOS, and 6 on both platforms. The mean (SD) MARS score of the apps was 3.5 (0.6) and the ICC for the overall app quality was 0.90 (95% CI: 0.82-0.96). Overall, apps scored highest in functionality (3.9), followed by aesthetics (3.6), information (3.3), and engagement (3.2). Among the included apps, the overall quality score was found to be higher for iOS apps than Android (MD = 0.54; 95% CI: 0.02 - 1.07; p-value: 0.042). CONCLUSION: Our study identified twenty-six mHealth applications for epilepsy that integrated various aspects of epilepsy self-management. The results of this study emphasize the importance of ensuring that current and future applications offer evidence-based information, integrate features that align with patient preferences, and generate evidence regarding the effectiveness of application usage.
