Work

In Vitro and In Silico Study of Nardostachys Jatamansi DC for Cognitive Impairment Related Conditions

Year: 2025

Type: article

Abstract: Aim This study aims to scientifically evaluate the cognitive-enhancing and neuroprotective properties of Nardostachys jatamansi. Background Nardostachys jatamansi (NJ) From the Valerianaceae family, is valued in Ayurveda, and is frequently used as a remedy for a variety of illnesses. These are used in various traditional herbal formulations and nutraceuticals, as well as to treat neurological disorders related to cognitive impairment (CI). Objective The purpose of the study was to produce high-quality scientific data regarding cognitive-enhancing and neuroprotective behavior, using in-silico and in-vitro methods. Volatiles including valerenic acid were used for in-silico studies, whereas jatamansi extract was evaluated using High-Performance Thin-Layer Chromatography (HPTLC). Methods High-performance thin-layer Chromatography (HPTLC) was used to quantify valerenic acid in NJ extract. Bioinformatics tools were employed to predict the targets and druggability of NJ volatiles associated with neurogenesis and neuroprotection. Results The valerenic acid content in NJ02 was found to be 2.65% using HPTLC. In-silico studies revealed the affinity and stable complex formation of valerenic acid, Isoeugenol, and Eugenol with their respective targets GBA1, DRD3, and ERAP1, which are known to play a role in neuroprotection. Conclusion The findings provide scientific evidence for NJ neuroprotective and cognitive-enhancing capabilities, supporting its traditional use. This study not only highlights the plant’s potential benefits but also identifies specific phytochemicals that contribute to these effects. Our research emphasizes the need for further studies to explore these phytochemicals in detail and establish optimal non-toxic dosages for clinical applications related to cognitive impairment. These contributions are crucial for advancing the understanding and therapeutic application of NJ in the context of cognitive health.

Source: The Open Bioinformatics Journal

DOI: 10.2174/0118750362371740250316120413