Exploring Gastrodin Against Aging-Related Genes in Alzheimer’s Disease by Integrated Bioinformatics Analysis and Machine Learning

Gastrodin is the main active ingredient of <i>Gastrodia elata</i> Blume, known for its prominent neuroprotective effects, especially in Alzheimer's disease. Meanwhile, aging is a critical risk factor in age-related diseases, including AD. Now, the underlying mechanisms of gastrodin against aging-related genes in Alzheimer's disease remain unclear. Our study aimed to identify and validate the molecular mechanisms of gastrodin on aging-related genes in Alzheimer's disease. Firstly, we analyzed gene expression datasets from GEO in NCBI, and weighted gene co-expression network analysis (WGCNA) was used to identify the intersected genes with differentially expressed genes (DEGs) and aging genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses and protein-protein interaction (PPI) network were performed to analyze and evaluate the intersected genes to screen key genes. Subsequently, we used machine learning techniques to screen hub genes and subcellular localization to confirm the reliability of the hub genes. Finally, molecular docking and molecular dynamics simulation were combined to explore the binding interactions between core targets and gastrodin. We identified 29 intersecting genes among DEGs of AD, key module genes of AD, and aging genes. Next, nine common hub genes were identified by four algorithms of the cytoHubba plug-in. Four hub genes, <i>GFAP</i>, <i>NPY</i>, <i>SNAP25</i>, and <i>SST</i>, were found as possibly hub aging-related genes in Alzheimer's disease from machine algorithms by adopting the random forest, LASSO, SVM, and Boruta models. Among them, <i>GFAP</i> showed marked upregulation, while <i>NPY</i>, <i>SNAP25</i>, and <i>SST</i> exhibited significant downregulation (<i>p</i> < 0.05). Finally, molecular docking and molecular dynamics simulation exhibited that gastrodin has an excellent affinity in docking with SNAP25. This study demonstrates that SNAP25 can be considered a key aging-related gene in AD, and gastrodin could treat AD by targeting specific genes and signaling pathways. These findings provide critical insights for the clinical application of gastrodin.

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Journal
International Journal of Molecular Sciences
Published
2025-09-18
DOI
https://doi.org/10.3390/ijms26189097
Primary Topic
Biological and pharmacological studies of plants
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article
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article

Exploring Gastrodin Against Aging-Related Genes in Alzheimer’s Disease by Integrated Bioinformatics Analysis and Machine Learning

Lin Sun, Junhong Yan, Xinying Chen, Li‐Peng Zhou et al.
International Journal of Molecular Sciences
Biological and pharmacological studies of plants
article

Exploring Gastrodin Against Aging-Related Genes in Alzheimer’s Disease by Integrated Bioinformatics Analysis and Machine Learning

Lin Sun, Junhong Yan, Xinying Chen, Li‐Peng Zhou, Yaping Li, Zhirong Sun, Shuang Liang, Xingliang Chen
article en

Abstract

Gastrodin is the main active ingredient of <i>Gastrodia elata</i> Blume, known for its prominent neuroprotective effects, especially in Alzheimer's disease. Meanwhile, aging is a critical risk factor in age-related diseases, including AD. Now, the underlying mechanisms of gastrodin against aging-related genes in Alzheimer's disease remain unclear. Our study aimed to identify and validate the molecular mechanisms of gastrodin on aging-related genes in Alzheimer's disease. Firstly, we analyzed gene expression datasets from GEO in NCBI, and weighted gene co-expression network analysis (WGCNA) was used to identify the intersected genes with differentially expressed genes (DEGs) and aging genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses and protein-protein interaction (PPI) network were performed to analyze and evaluate the intersected genes to screen key genes. Subsequently, we used machine learning techniques to screen hub genes and subcellular localization to confirm the reliability of the hub genes. Finally, molecular docking and molecular dynamics simulation were combined to explore the binding interactions between core targets and gastrodin. We identified 29 intersecting genes among DEGs of AD, key module genes of AD, and aging genes. Next, nine common hub genes were identified by four algorithms of the cytoHubba plug-in. Four hub genes, <i>GFAP</i>, <i>NPY</i>, <i>SNAP25</i>, and <i>SST</i>, were found as possibly hub aging-related genes in Alzheimer's disease from machine algorithms by adopting the random forest, LASSO, SVM, and Boruta models. Among them, <i>GFAP</i> showed marked upregulation, while <i>NPY</i>, <i>SNAP25</i>, and <i>SST</i> exhibited significant downregulation (<i>p</i> < 0.05). Finally, molecular docking and molecular dynamics simulation exhibited that gastrodin has an excellent affinity in docking with SNAP25. This study demonstrates that SNAP25 can be considered a key aging-related gene in AD, and gastrodin could treat AD by targeting specific genes and signaling pathways. These findings provide critical insights for the clinical application of gastrodin.

International Journal of Molecular SciencesVol. 26(18)
Jiangnan University (CN), Beijing University of Chinese Medicine (CN), Chinese Academy of Forestry (CN)
Openalex Percentile: Top 71%
Biological and pharmacological studies of plants
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