Analysis of complement system and its related factors in Alzheimer’s disease
Abstract Alzheimer’s disease (AD) is a primary cause of dementia. The complement system is closely related to AD pathology and may be a potential target for the prevention and treatment of AD. In our study, we conducted a bioinformatics analysis to analyze the role of the complement system and its r...
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BMC
2023-12-01
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Series: | BMC Neurology |
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Online Access: | https://doi.org/10.1186/s12883-023-03503-0 |
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author | Xi-Chen Zhu Bin-Feng Tang Meng-Zhuo Zhu Jing Lu Han-Xiao Lin Jia-Ming Tang Rong Li Tao Ma |
author_facet | Xi-Chen Zhu Bin-Feng Tang Meng-Zhuo Zhu Jing Lu Han-Xiao Lin Jia-Ming Tang Rong Li Tao Ma |
author_sort | Xi-Chen Zhu |
collection | DOAJ |
description | Abstract Alzheimer’s disease (AD) is a primary cause of dementia. The complement system is closely related to AD pathology and may be a potential target for the prevention and treatment of AD. In our study, we conducted a bioinformatics analysis to analyze the role of the complement system and its related factors in AD using Gene Expression Omnibus (GEO) data. We also conducted a functional analysis. Our study verified that 23 genes were closely related to differentially expressed complement system genes in diseases after intersecting the disease-related complement system module genes and differentially expressed genes. The STRING database was used to predict the interactions between the modular gene proteins of the differential complement system. A total of 21 gene proteins and 44 interaction pairs showed close interactions. We screened key genes and created a diagnostic model. The predictive effect of the model was constructed using GSE5281 and our study indicated that the predictive effect of the model was good. Our study also showed enriched negative regulation of Notch signaling, cytokine secretion involved in the immune response pathway, and cytokine secretion involved in immune response hormone-mediated apoptotic signaling pathway. We hope that our study provides a promising target to prevent and delay the onset, diagnosis, and treatment of AD. |
first_indexed | 2024-03-08T19:45:31Z |
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institution | Directory Open Access Journal |
issn | 1471-2377 |
language | English |
last_indexed | 2024-03-08T19:45:31Z |
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publisher | BMC |
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spelling | doaj.art-89c675fd19884d3590e7c4e16e4a71412023-12-24T12:22:18ZengBMCBMC Neurology1471-23772023-12-0123111610.1186/s12883-023-03503-0Analysis of complement system and its related factors in Alzheimer’s diseaseXi-Chen Zhu0Bin-Feng Tang1Meng-Zhuo Zhu2Jing Lu3Han-Xiao Lin4Jia-Ming Tang5Rong Li6Tao Ma7Department of Neurology, The Wuxi No. 2 People’s Hospital, Jiangnan University Medical CenterDepartment of Neurology, The Wuxi No. 2 People’s Hospital, Jiangnan University Medical CenterDepartment of Neurology, The Wuxi No. 2 People’s Hospital, Affiliated Wuxi Clinical College of Nantong UniversityDepartment of Neurology, The Affiliated Wuxi No. 2 People’s Hospital of Nanjing Medical UniversityDepartment of Neurology, The Wuxi No. 2 People’s Hospital, Affiliated Wuxi Clinical College of Nantong UniversityDepartment of Neurology, The Affiliated Wuxi No. 2 People’s Hospital of Nanjing Medical UniversityDepartment of Pharmacy, The Affiliated Wuxi No. 2 People’s Hospital, Jiangnan University Medical CenterDepartment of Neurology, The Wuxi No. 2 People’s Hospital, Jiangnan University Medical CenterAbstract Alzheimer’s disease (AD) is a primary cause of dementia. The complement system is closely related to AD pathology and may be a potential target for the prevention and treatment of AD. In our study, we conducted a bioinformatics analysis to analyze the role of the complement system and its related factors in AD using Gene Expression Omnibus (GEO) data. We also conducted a functional analysis. Our study verified that 23 genes were closely related to differentially expressed complement system genes in diseases after intersecting the disease-related complement system module genes and differentially expressed genes. The STRING database was used to predict the interactions between the modular gene proteins of the differential complement system. A total of 21 gene proteins and 44 interaction pairs showed close interactions. We screened key genes and created a diagnostic model. The predictive effect of the model was constructed using GSE5281 and our study indicated that the predictive effect of the model was good. Our study also showed enriched negative regulation of Notch signaling, cytokine secretion involved in the immune response pathway, and cytokine secretion involved in immune response hormone-mediated apoptotic signaling pathway. We hope that our study provides a promising target to prevent and delay the onset, diagnosis, and treatment of AD.https://doi.org/10.1186/s12883-023-03503-0Alzheimer’s diseaseComplement systemGeneProteinSignaling pathwayBioinformatics analysis |
spellingShingle | Xi-Chen Zhu Bin-Feng Tang Meng-Zhuo Zhu Jing Lu Han-Xiao Lin Jia-Ming Tang Rong Li Tao Ma Analysis of complement system and its related factors in Alzheimer’s disease BMC Neurology Alzheimer’s disease Complement system Gene Protein Signaling pathway Bioinformatics analysis |
title | Analysis of complement system and its related factors in Alzheimer’s disease |
title_full | Analysis of complement system and its related factors in Alzheimer’s disease |
title_fullStr | Analysis of complement system and its related factors in Alzheimer’s disease |
title_full_unstemmed | Analysis of complement system and its related factors in Alzheimer’s disease |
title_short | Analysis of complement system and its related factors in Alzheimer’s disease |
title_sort | analysis of complement system and its related factors in alzheimer s disease |
topic | Alzheimer’s disease Complement system Gene Protein Signaling pathway Bioinformatics analysis |
url | https://doi.org/10.1186/s12883-023-03503-0 |
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