{"title":"Identify the key genes and pathways of melatonin in age-dependent mice hippocampus regulation by transcriptome analysis","authors":"","doi":"10.1016/j.compbiolchem.2024.108267","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><div>Dysregulation of energy metabolism is a fundamental contributor to all the hallmarks of brain aging. Melatonin, primarily secreted by the pineal gland, is closely associated with molecules and signaling pathways that sense and affect energy metabolism. However, the impact of melatonin on age-related mRNA expression in the hippocampus of mice at different ages remains poorly understood.</div></div><div><h3>Objective</h3><div>The present study conducted transcriptome analysis of the hippocampus in melatonin-exposed mice at 9, 13, and 25 months of age. Differential gene analysis, GO and KEGG pathway enrichment analysis, GSEA analysis, as well as weighted gene co-expression network analysis (WGCNA), were performed on the transcriptome data.</div></div><div><h3>Results</h3><div>Our study demonstrated that melatonin exerts a more pronounced regulatory effect on the transcriptome of 25-month old mice, and significantly enhances the expression level of TTR in the hippocampus of 13-month old mice. WGCNA analysis revealed that melatonin primarily modulates the energy metabolism of mouse hippocampus through the mTOR signaling pathway and AMPK signaling pathway.</div></div><div><h3>Conclusions</h3><div>In conclusion, our study provides new insights into the comprehensive understanding of the mechanism of melatonin's age-dependent regulation of the mice hippocampus.</div></div>","PeriodicalId":10616,"journal":{"name":"Computational Biology and Chemistry","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Biology and Chemistry","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S147692712400255X","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Context
Dysregulation of energy metabolism is a fundamental contributor to all the hallmarks of brain aging. Melatonin, primarily secreted by the pineal gland, is closely associated with molecules and signaling pathways that sense and affect energy metabolism. However, the impact of melatonin on age-related mRNA expression in the hippocampus of mice at different ages remains poorly understood.
Objective
The present study conducted transcriptome analysis of the hippocampus in melatonin-exposed mice at 9, 13, and 25 months of age. Differential gene analysis, GO and KEGG pathway enrichment analysis, GSEA analysis, as well as weighted gene co-expression network analysis (WGCNA), were performed on the transcriptome data.
Results
Our study demonstrated that melatonin exerts a more pronounced regulatory effect on the transcriptome of 25-month old mice, and significantly enhances the expression level of TTR in the hippocampus of 13-month old mice. WGCNA analysis revealed that melatonin primarily modulates the energy metabolism of mouse hippocampus through the mTOR signaling pathway and AMPK signaling pathway.
Conclusions
In conclusion, our study provides new insights into the comprehensive understanding of the mechanism of melatonin's age-dependent regulation of the mice hippocampus.
期刊介绍:
Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered.
Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered.
Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.