miRNA as an Ultimate and Emerging Diagnostic Approach for the Detection of Alzheimer's Disease.

Alzheimer's disease is a prevalent neurodegenerative disorder primarily affecting elderly individuals, characterized by cognitive decline and dysfunction in the nervous system. The disease is hallmarked by the presence of neurofibrillary tangles and amyloid-ß plaques. Approximately 10.7% of the global population aged 65 and above suffer from Alzheimer's disease, and this number is projected to rise significantly in the foreseeable future. By the year 2050, the worldwide prevalence is estimated to reach 139 million cases, compared to the current 55 million cases. The identification of reliable biomarkers that can facilitate the diagnosis and prognosis of Alzheimer's disease is crucial. MicroRNAs (miRNAs) are a class of small, non-coding RNA molecules that play a significant role in mRNA regulation and protein level maintenance through mRNA degradation. Over the past decade, researchers have primarily focused on elucidating the functions and expression patterns of miRNAs in various diseases, including Alzheimer's disease, to uncover their potential as diagnostic biomarkers. This review emphasizes the potential of miRNAs as diagnostic biomarkers for Alzheimer's disease and explores their roles and therapeutic possibilities. MiRNAs possess several features that make them ideal biomarkers, including their ability to be easily detected in body fluids. Moreover, the extraction process is minimally invasive, as miRNAs can be readily extracted. Advances in technology have facilitated the integration of miRNAs into micro-assays, enhancing the reliability and utility of miRNAs as diagnostic biomarkers for Alzheimer's disease.

Investigation of Cannabis sativa Phytochemicals as Anti-Alzheimer's Agents: An In Silico Study.

Cannabis sativa is a medicinal plant that has been known for years and is used as an Ayurvedic medicine. This plant has great potential in treating various types of brain diseases. Phytochemicals present in this plant act as antioxidants by maintaining synaptic plasticity and preventing neuronal loss. Cannabidiol (CBD) and Tetrahydrocannabinol (THC) are both beneficial in treating Alzheimer's disease by increasing the solubility of Aß42 amyloid and Tau aggregation. Apart from these therapeutic effects, there are certain unknown functions of these phytochemicals in Alzheimer's disease that we want to elucidate through this study. In this research, our approach is to analyze the effect of phytochemicals in Cannabis sativa on multiple culprit enzymes in Alzheimer's disease, such as AChE (Acetylcholinesterase), BChE (Butyrylcholinesterase), γ-secretase, and BACE-1. In this study, the compounds were selected by Lipinski's rule, ADMET, and ProTox based on toxicity. Molecular docking between the selected compounds (THCV, Cannabinol C2, and Cannabidiorcol) and enzymes mentioned above was obtained by various software programs including AutoDock Vina 4.2, AutoDock, and iGEMDOCK. In comparison to Donepezil (BA = -8.4 kcal/mol, Ki = 1.46 mM), Rivastigmine (BA = -7.0 kcal/mol, Ki = 0.02 mM), and Galantamine (BA = -7.1, Ki = 2.1 mM), Cannabidiorcol (BA = -9.4 kcal/mol, Ki = 4.61 mM) shows significant inhibition of AChE. On the other hand, Cannabinol C2 (BA = -9.2 kcal/mol, Ki = 4.32 mM) significantly inhibits Butyrylcholinesterase (BuChE) in comparison to Memantine (BA = -6.8 kcal/mol, Ki = 0.54 mM). This study sheds new light and opens new avenues for elucidating the role of bioactive compounds present in Cannabis sativa in treating Alzheimer's disease.