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Updated: May 11, 2026

In Vitro and In Vivo Detection of Mitophagy in Human Cells, C. Elegans, and Mice
Published on: November 22, 2017
Construction and evaluation of a diagnostic model for Alzheimer's disease based on mitophagy-related genes
Jiarui Liu1, Mengyu Yan2, Lihua Chen3
1Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. liujiarui66666@163.com.
Abstract:
Alzheimer's disease (AD) is the most common cause of dementia. Mitophagy fulfills crucial functions in neurodegenerative disorders and neuronal survival but the relationship between mitophagy and AD is unclear. Mitophagy correlation scores between AD samples and control samples were calculated using single-sample GSEA (ssGSEA) based on two datasets from gene expression omnibus (GEO) database. Mitophagy-related genes (MRGs) and differentially expressed genes (DEGs) in AD screened by WGCNA and "limma" package were intersected to take common genes. These overlapping genes were further compressed and used for diagnostic modeling by adopting the recursive feature elimination (RFE) and LASSO analysis. The reliability of the diagnostic model was verified based on the receiver operating characteristic (ROC) curve. Then, a transcription factor (TF)-mRNA regulatory network of these key genes was established. Lastly, ssGSEA was employed to examine the relationship between the identified genes and cellular pathways and immune cell infiltration. AD samples had notably lower mitophagy correlation scores than control samples. A total of 12 MRGs in the module with the greatest mitophagy connection with AD patients were identified. Functional enrichment analysis revealed that the DEGs were significantly enriched in synaptic function-related pathways. Based on GSE122063, a diagnostic prediction model was created and validated using two mitophagy-related genes (YWHAZ and NDE1), showing an area under ROC curve (AUC) greater than 0.7. This confirmed that the diagnostic model had a high predictive value. The TF-mRNA network showed that four TFs, namely, FOXC1, FOXL1, HOXA5 and GATA2, were regulated by both YWHAZ and NDE1 genes. Immune infiltration analysis revealed that NDE1 promoted the infiltration of most immune cells, while YWHAZ mainly inhibited the infiltration of most immune cells. The current findings improved our understanding of mitophagy in AD, contributing to future research and treatment development in AD.
Insights
Alzheimer's disease (AD) is linked to reduced mitophagy. This study identified key mitophagy-related genes (YWHAZ, NDE1) for AD diagnosis and revealed their roles in gene regulation and immune cell infiltration.
Area of Science:
- Neuroscience
- Genetics
- Biochemistry
Background:
- Alzheimer's disease (AD) is the leading cause of dementia, with its relationship to mitophagy unclear.
- Mitophagy is vital for neuronal survival and function in neurodegenerative disorders.
Purpose of the Study:
- To investigate the role of mitophagy in Alzheimer's disease.
- To identify diagnostic biomarkers for AD based on mitophagy-related genes.
- To explore the regulatory network and immune cell infiltration associated with these biomarkers.
Main Methods:
- Utilized single-sample Gene Set Enrichment Analysis (ssGSEA) on GEO datasets to calculate mitophagy correlation scores.
- Employed Weighted Gene Co-expression Network Analysis (WGCNA) and differential gene expression analysis ('limma') to identify mitophagy-related genes (MRGs) and differentially expressed genes (DEGs).
- Developed and validated a diagnostic model using Recursive Feature Elimination (RFE), LASSO analysis, and Receiver Operating Characteristic (ROC) curves, and constructed a transcription factor (TF)-mRNA regulatory network.
Main Results:
- AD samples exhibited significantly lower mitophagy correlation scores compared to controls.
- Identified 12 MRGs strongly associated with AD, with DEGs enriched in synaptic function pathways.
- A diagnostic model using YWHAZ and NDE1 demonstrated high predictive value (AUC > 0.7).
- YWHAZ and NDE1 regulate TFs (FOXC1, FOXL1, HOXA5, GATA2) and influence immune cell infiltration differently.
Conclusions:
- Mitophagy plays a significant role in Alzheimer's disease pathogenesis.
- YWHAZ and NDE1 are promising diagnostic biomarkers for AD.
- Understanding the TF-mRNA network and immune infiltration provides insights into AD mechanisms and potential therapeutic targets.
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