Biomedical Implications of Plant-Based Principles as Antidepressants: Prospects for Novel Drug Development

Author:

Khushboo 1,Kumar Abhishek1,Sharma Bechan1

Affiliation:

1. Department of Biochemistry, University of Allahabad, India

Abstract

Background: Depression is a most common mental disorder. The symptoms of depression include loss of energy, changes in appetite, more or less sleep, anxiety, low concentration, uncertainty, restlessness, feelings of worthlessness, guilt, or despair, and thoughts of self-harm or suicide. In order to provide safe, efficient and cost-effective medication, the plants based principles in isolation or in combination with traditional antidepressants are attracting increasing attention for depression therapy. Method: The information regarding the present review and its contents such as collected from published literature materials in different international journals. We have used different search engines such as PubMed, Medline, ResearchGate Google Semantic Scholar and ScienceDirect. For this purpose, the data obtained were properly organized and suitably analyzed to include in this article. Results: Most of the phytomolecules isolated from the medicinal plants display antidepressant effect through the synaptic regulation of levels of neurotransmitters such as dopamine, serotonin, and noradrenaline in different parts of the brain. The mechanism of action of phytomolecules also involves negative regulation of the activities of monoamine oxidase (MAO) and acetylcholinesterase (AChE) and prevention of hyperactivity of hypothalamic-pituitary-adrenal (HPA) axis. In addition, the strong antioxidative and antiinflamatory potential of these phytochemicals offer synergy to their antidepressant as well as antipsychosomatic functions. Conclusion: The application of phytochemicals has proved it to be a safe, cost effective and efficient therapeutic agent to treat the patients suffering from mild to severe state of depression and other psychiatric disorders. The potential phytochemicals may be further optimized using in silico tools to develop better antidepressants and antisychotic agents in future.

Publisher

Bentham Science Publishers Ltd.

Subject

Drug Discovery,Pharmacology,General Medicine

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