Weighted Gene Coexpression Network Analysis of Specific Modules of Parkinson's Disease and Construction of Diagnostic Models

13 Pages Posted: 9 Mar 2022

See all articles by Zhaoping Wu

Zhaoping Wu

Central South University - Department of Neurology

Xiaobo Zhang

The First People’s Hospital of Changde City - Department of Neurology

Yuechong Xia

Central South University - Second Xiangya Hospital

Zhiping Hu

Central South University - Department of Neurology

Abstract

Aim: In this study, microarray gene expression data in patients with Parkinson's disease(PD) were analyzed to identify potential diagnostic biomarkers.

Methods: Firstly, we used Weighted Correlation Network Analysis (WGCNA) to analyze the key modules with high correlation with PD from GSE99039 data set. Then, The hub genes in the key modules were subjected to the Least Absolute Shrinkage and Selection Operator(LASSO) regression analysis, Logistic regression model was constructed, and Receiver Operating Characteristic(ROC) was used to evaluate the test data set. Finally, an external dataset GSE99039 was used for ROC verification.

Results: WGCNA identified two key modules closely related to inflammation and immune response, screened 7 genes LILRB1, LSP1, SIPA1, SLC15A3, MBOAT7, RNF24 and TLE3, and constructed diagnostic models. ROC analysis showed that the diagnostic model had moderate diagnostic performance for PD in training, validation set and external validation data set.

Conclusion: A 7-gene panel (LILRB1, LSP1, SIPA1, SLC15A3, MBOAT7, RNF24,TLE3) serves as a potential diagnostic predictor for PD.

Note:
Funding Information: This study was supported by the National Natural Science Foundation of China (No. 81974213).

Declaration of Interests: None.

Ethics Approval Statement: Ethical approval for this study was not required, because the data were downloaded directly from public database.

Keywords: Parkinson's disease, WGCNA, LASSO regression, diagnostic predictor

Suggested Citation

Wu, Zhaoping and Zhang, Xiaobo and Xia, Yuechong and Hu, Zhiping, Weighted Gene Coexpression Network Analysis of Specific Modules of Parkinson's Disease and Construction of Diagnostic Models. Available at SSRN: https://ssrn.com/abstract=4053375 or http://dx.doi.org/10.2139/ssrn.4053375

Zhaoping Wu

Central South University - Department of Neurology ( email )

Xiaobo Zhang

The First People’s Hospital of Changde City - Department of Neurology ( email )

Yuechong Xia

Central South University - Second Xiangya Hospital ( email )

Changsha, 410083
China

Zhiping Hu (Contact Author)

Central South University - Department of Neurology ( email )

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