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Journal article
Data Mining Approach to Melatonin Treatment in Alzheimer's Disease: New Gene Targets MMP2 and NR3C1
International Journal of Molecular Sciences, Vol.26(1), 338
2025
Abstract
Melatonin is a hormone released by the pineal gland that regulates the sleep–wake cycle. It has been widely studied for its therapeutic effects on Alzheimer’s disease (AD), particularly through the amyloidosis, oxidative stress, and neuroinflammation pathways. Nevertheless, the mechanisms through which it exerts its neuroprotective effects in AD are still largely unknown. Data mining was used to identify potential gene targets that link melatonin’s effects to AD pathways, yielding a comprehensive view of the underlying molecular mechanisms. We identified 3397 genes related to AD from DisGeNet and 329 melatonin gene targets from ChEMBL, which revealed 223 overlapping genes and the potential shared pathways. These genes were used to construct a protein–protein interaction (PPI) network comprising 143 nodes and 823 edges, which demonstrated significant PPI enrichment. A cluster analysis highlighted two key clusters centered on MMP2 and NR3C1, with both genes playing crucial roles in steroid hormone signaling, apoptosis, and monoamine neurotransmission. Gene Ontology (GO) enrichment and KEGG pathway analyses further elucidated their involvement in critical pathways, for instance, steroid hormone signaling and apoptosis regulation, significantly influencing AD pathology through mechanisms such as extracellular matrix remodeling, epigenetic modifications, and neuroinflammation. Our findings emphasize MMP2 and NR3C1 as important gene targets for future research on melatonin treatment in AD, paving the way for further investigations into their roles in AD pathophysiology.
Details
- Title
- Data Mining Approach to Melatonin Treatment in Alzheimer's Disease: New Gene Targets MMP2 and NR3C1
- Authors/Creators
- Jingyi ZhangKa Chun TsuiHoi Ying LeeLuca AquiliKah H Wong - Chinese University of Hong KongErsoy KocabicakYasin TemelZhiliang LuMan-Lung Fung - University of Hong KongAllan KalueffLee Wei Lim - University of Hong Kong
- Publication Details
- International Journal of Molecular Sciences, Vol.26(1), 338
- Publisher
- MDPI
- Number of pages
- 18
- Grant note
- Research Development FundXi'an Jiaotong-Liverpool University: FSMG-2021-0006, 075-03-2024-117 Ministry of Science and Higher Education of Russian FederationSuzhou Municipal Key Laboratory of Neurobiology and Cell Signaling, Suzhou, China
This study was supported by the Research Development Fund (RDF-24-01-076) from Xi'an Jiaotong-Liverpool University awarded to L.W.L. A.V.K. lab's prior research was supported by FSMG-2021-0006 (Digital technologies for solving problems of quantitative medicine, Agreement 075-03-2024-117 of 17.01.2024) of the Ministry of Science and Higher Education of Russian Federation. He is presently supported by Suzhou Municipal Key Laboratory of Neurobiology and Cell Signaling, Suzhou, China.
- Identifiers
- 991005726586907891
- Copyright
- © 2025 by the authors.
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.137 Sleep Science & Circadian Systems
- 1.137.217 Circadian-Melatonin
- Web Of Science research areas
- Biochemistry & Molecular Biology
- Chemistry, Multidisciplinary
- ESI research areas
- Chemistry