Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Molecular Mechanisms of Melatonin in Alzheimer’S Disease: Insights From Network Pharmacology and Molecular Docking Publisher



Mohammadi S1 ; Mahakizadeh S2 ; Poorhassan M3 ; Hassanzadeh G4, 5, 6
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Neuroscience, School of Medicine, Shahroud University of Medical Sciences, Shahroud, Iran
  2. 2. Department of Anatomy, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran
  3. 3. Department of Anatomical Sciences and Cognitive Neuroscience, Faculty of Medicine, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
  4. 4. Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Department of Digital Health, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Department of Anatomy, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran

Source: Journal of Contemporary Medical Sciences Published:2025


Abstract

Objective: This study explores melatonin’s potential therapeutic effects on Alzheimer’s disease (AD) using computational tools, focusing on its impact on key pathological features of AD. Methods: We assessed ML’s pharmacological properties, toxicity, and biological targets, identifying overlaps with AD-related genes. A pharmacological-target-pathology network was developed utilizing the software Cytoscape, and an analysis of protein-protein interactions (PPI) was conducted employing the STRING database. Gene Ontology (GO) and KEGG pathway enrichment analyses were conducted, followed by protein-ligand docking simulations to validate ML’s interactions with key targets. Results: ML exhibits favorable ADME properties, good solubility, and the ability to cross the blood-brain barrier, with a generally safe toxicity profile; however, caution is advised regarding neurotoxicity and respiratory toxicity. Our analysis identified 15,564 AD-related genes and 101 ML targets, with 95 shared genes. Key genes in the PPI network include EGFR, PTGS2, ERBB2, and others. GO analysis highlighted processes related to nitrogen compounds, cell proliferation, and membrane functions, particularly in serotonin receptor signaling. Molecular docking revealed ERBB2 as the strongest ML target, suggesting its potential in AD therapy. Conclusions: This study concludes that ML may offer a promising therapeutic approach for AD by targeting multiple pathways and key proteins, such as ERBB2, and modulating biological processes related to neuronal signaling. © 2025, Nab'a Al-Hayat Foundation for Medical Sciences and Health Care. All rights reserved.