Transcriptomic analysis reveals and validates lipid raft-associated biomarkers and functional networks in Alzheimer's disease.
Lipid raft dysregulation may link immune activation, mitochondrial dysfunction, and synaptic impairment in Alzheimer's disease, but clinical validation is needed.
Where it sits
this study against the rest of the cerebrolysin corpusSummary and findings
This study conducted a transcriptomic analysis to explore lipid raft-associated gene networks in Alzheimer's disease using datasets GSE5281 and GSE33000. It identified 72 genes linked to mitochondrial, synaptic, and immune pathways, with eight key biomarkers showing strong diagnostic performance. The study suggests lipid raft dysregulation may connect immune activation, mitochondrial dysfunction, and synaptic impairment in AD.
Abstract
Alzheimer's disease (AD) involves complex changes, including synaptic dysfunction, neuroinflammation, and metabolic impairment, yet the role of lipid raft-associated gene networks in these processes remains unclear. In this study, we performed an integrative transcriptomic analysis using the GSE5281 dataset and validated the findings in an independent cohort (GSE33000). By combining differential expression analysis with weighted gene co-expression network analysis, we identified 72 lipid raft-associated genes linked to mitochondrial, synaptic, and immune-related pathways. Using network analysis and machine learning approaches (LASSO and SHAP), we further identified eight key biomarkers (CBL, CD44, EZR, FAS, FYN, ITGB1, MAPK1, and TGFBR1) that showed strong diagnostic performance and consistent results across datasets. Functional analysis revealed increased inflammatory signaling, including pyroptosis and cytokine pathways, alongside reduced oxidative phosphorylation and synaptic activity. Interestingly, immune profiling showed only minor differences in immune cell infiltration, but clear activation of multiple immune pathways, such as Th2 and Treg signaling, CD8⁺ T-cell signatures, and IL-6/IL-10-mediated inflammation. These immune changes were strongly associated with lipid raft-related biomarkers. Overall, our findings suggest that lipid raft dysregulation may act as a key link between immune activation, mitochondrial dysfunction, and synaptic impairment in AD.
Background
Alzheimer's disease is characterized by synaptic dysfunction, neuroinflammation, and metabolic impairment, but the role of lipid raft-associated gene networks in these processes is not well understood. Lipid rafts are microdomains in cell membranes that play a role in cellular signaling and protein sorting. Understanding their involvement in Alzheimer's could provide insights into disease mechanisms and potential biomarkers.
Methods
The study utilized an integrative transcriptomic analysis approach using the GSE5281 dataset and validated findings with the GSE33000 cohort. Differential expression analysis and weighted gene co-expression network analysis were employed to identify lipid raft-associated genes. Machine learning techniques, including LASSO and SHAP, were used to pinpoint key biomarkers. Functional analysis was conducted to explore associated pathways.
Results
The analysis identified 72 lipid raft-associated genes related to mitochondrial, synaptic, and immune pathways. Eight biomarkers (CBL, CD44, EZR, FAS, FYN, ITGB1, MAPK1, TGFBR1) demonstrated strong diagnostic performance. Functional analysis revealed increased inflammatory signaling and reduced oxidative phosphorylation. Immune profiling indicated minor differences in cell infiltration but significant activation of immune pathways.
Interpretation
The study's findings align with existing knowledge of Alzheimer's disease involving inflammation and mitochondrial dysfunction. The identified biomarkers could serve as potential diagnostic tools, but their clinical utility remains to be validated. The study's reliance on transcriptomic data limits its ability to provide direct clinical insights, and further research is needed to explore these pathways in vivo.
Key findings
- 72 lipid raft-associated genes identified.
- Eight key biomarkers: CBL, CD44, EZR, FAS, FYN, ITGB1, MAPK1, TGFBR1.
- Increased inflammatory signaling and reduced oxidative phosphorylation observed.
- Minor differences in immune cell infiltration, but activation of multiple immune pathways.
- Strong association between lipid raft biomarkers and immune changes.
Limitations
- Based on transcriptomic analysis.
- Requires clinical validation.
- Potential complexity not fully captured.
- Findings need in vivo exploration.