Pharmacological effects of herbal ingredients of Manasamitra vatakam in the treatment of Alzheimer's disease: A review

Multi-targeted drug therapy has received substantial attention for the treatment of diseases of multi-factorial origin, including neurodegenerative and autoimmune diseases. It seems reasonable to argue that the complex pathology of neurodegenerative diseases (ND) cannot be reduced to a single target to modulate a broad range of cellular signaling, associated pathologies, and symptoms. It is this idea that has brought the attention of the scientific world towards phytochemicals and traditional drugs that are notoriously multi-targeted. A systematic study of these formulations and establishing the molecular pathways of individual molecules can lead to a standardized multi-component product that can modulate a broad range of activities on different targets of ND. This could provide an accessible and affordable solution to the significant disease burden of ND. With this idea in mind, a systematic review was carried out on an Ayurvedic product Manasamitra Vatakam (MMV), known to be a neuroprotective formulation and highly effective against Alzheimer's disease. MMV can be a source of phytomolecules for treating neurodegenerative diseases. The multifactorial nature of these diseases makes them suitable candidates for testing phytochemicals due to the inherent multitargeting capabilities of these compounds. The primary objective of this review is to provide a comprehensive understanding of the phytomolecules from MMV that are responsible for its multitargeted effect against neurodegenerative diseases. From the reported literature, it is clear that many phytoconstituents and extracts of the herbal ingredients from MMV have demonstrated their efficacy against AD models. However, the combination of these molecules in AD models has never been tested. Scientific studies should be done to explore the bioactive compounds in the formulation and the druggability of these identified compounds can be evaluated using experimental methods.