AI Article Synopsis
- Alzheimer's disease (AD) is linked to ferroptosis, prompting research to identify key ferroptosis-related genes to aid in diagnosis.
- The study utilized gene expression data from various sources and employed machine learning techniques to find 12 differentially expressed ferroptosis-related genes, which were used to construct a diagnostic model for AD.
- The developed model demonstrated strong predictive capabilities and showed a connection between these genes and immune cell infiltration, offering insights into potential therapeutic strategies for AD.
Article Abstract
Introduction: Alzheimer's disease (AD) is the most common type of dementia, and there is growing evidence suggesting that ferroptosis is involved in its pathogenesis. In this study, we aimed to investigate the key ferroptosis-related genes in AD and identify a novel ferroptosis-related gene diagnosis model for patients with AD.
Materials And Methods: We extracted the human blood and hippocampus gene expression data of five datasets (GSE63060, GSE63061, GSE97760, GSE48350, and GSE5281) in the Gene Expression Omnibus database as well as the ferroptosis-related genes from FerrDb. Differentially expressed ferroptosis-related genes were screened by random forest classifier, and were further used to construct a diagnostic model of AD using an artificial neural network. The patterns of immune infiltration in the peripheral immune system of AD were also investigated using the CIBERSORT algorithm.
Results: We first screened and identified 12 ferroptosis-related genes (, and ) via a random forest classifier, which was differentially expressed between the AD and normal control groups. Based on the 12 hub genes, we successfully constructed a satisfactory diagnostic model for differentiating AD patients from normal controls using an artificial neural network and validated its diagnostic efficacy in several external datasets. Further, the key ferroptosis-related genes were found to be strongly correlated to immune cells infiltration in AD.
Conclusion: We successfully identified 12 ferroptosis-related genes and established a novel diagnostic model of significant predictive value for AD. These results may help understand the role of ferroptosis in AD pathogenesis and provide promising therapeutic strategies for patients with AD.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9475071 | PMC |
| http://dx.doi.org/10.3389/fnagi.2022.970796 | DOI Listing |
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