International Journal of General Medicine (May 2024)
Integrated Bioinformatics Analysis for Revealing CBL is a Potential Diagnosing Biomarker and Related Immune Infiltration in Parkinson’s Disease
Abstract
Yanchen Chen,1,2 Yuqin Tu,2,3 Guiling Yan,2,3 Xinyao Ji,2,3 Shu Chen,2,3 Changchun Niu,2 Pu Liao1,2 1Department of Laboratory Medicine, North Sichuan Medical College, Nanchong, People’s Republic of China; 2Department of Clinical Laboratory, Chongqing General Hospital, Chongqing, People’s Republic of China; 3Chongqing Medical University, Chongqing, People’s Republic of ChinaCorrespondence: Pu Liao, Chongqing General Hospital, 118 Xingguang Avenue, Yubei District, Chongqing, People’s Republic of China, Tel +86 13628358003, Fax +23-63519127, Email [email protected]: There is growing evidence that the immune system plays an important role in the progression of Parkinson’s disease, the second most common neurodegenerative disorder. This study aims to address the comprehensive understanding of the immunopathogenesis of Parkinson’s disease and explore new inflammatory biomarkers.Patients and Methods: In this study, Immune-related differential expressed genes (DEIRGs) were obtained from GEO database and Immport database. The hub gene was screened in DEIRGs using LASSO regression and random forest algorithm, and the mRNA expression of the identified hub gene was validated using clinical blood samples.Results: We obtained a total of 157 DEIRGs that played an important role in the immune response. The results of immune cell infiltration analysis showed that the degree of memory B cells infiltration was higher in PD patients, while the degree of Monocytes, resting mast cells and M0 macrophages infiltration was lower (p< 0.05). A total of 8 hub genes were screened by machine learning methods, and RT-PCR results showed that the expression level of CBL gene in PD was significantly increased (p< 0.05).Conclusion: Our findings suggest that CBL is a new potential diagnostic biomarker for PD and that abnormal immune cell infiltration may influence PD development.Keywords: Parkinson’s disease, immune cell infiltration, bioinformatics, immport database, gene expression omnibus database