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Zhou F, Chen D, Chen G, Liao P, Li R, Nong Q, Meng Y, Zou D, Li X. Gene Set Index Based on Different Modules May Help Differentiate the Mechanisms of Alzheimer's Disease and Vascular Dementia. Clin Interv Aging 2021; 16:451-463. [PMID: 33737807 PMCID: PMC7961151 DOI: 10.2147/cia.s297483] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 02/25/2021] [Indexed: 11/23/2022] Open
Abstract
Purpose Alzheimer’s disease (AD) and vascular dementia shared similar symptoms, the aim of the present study was to identify potential differences in the mechanisms underlying the two diseases. Materials and Methods The data set including AD, vascular dementia, and control samples was carried out gene differential expression analysis, weighted gene co-expression network analysis, functional enrichment, protein–protein interaction network construction, and least absolute shrinkage and selection operator analysis to reveal the differences in the mechanisms underlying the two diseases and potential diagnostic gene signature. Results We identified the gene modules related to AD or vascular dementia. Enrichment analysis of module genes and construction of a protein–protein interaction network suggested that the “brown” module may be involved in a chemokine pathway, the “blue” module may be involved in cortisol synthesis and secretion, and the “turquoise” module may be involved in cholinergic synapse transmission. The hub gene-based signature index may be a biomarker of AD and vascular dementia and may even differentiate the two diseases from each other with high area under curve. Conclusion Our results identified not only core pathways involved in both AD and vascular disease, but also their potentially specific pathways. We proposed the hub gene-based signature index may be useful for diagnosing AD and vascular dementia.
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Affiliation(s)
- Fengkun Zhou
- Department of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530022, People's Republic of China.,Department of Neurology, The First People's Hospital of Nanning, Nanning, Guangxi, 530022, People's Republic of China
| | - Deyao Chen
- Department of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530022, People's Republic of China.,Department of Neurology, The First People's Hospital of Nanning, Nanning, Guangxi, 530022, People's Republic of China
| | - Guoying Chen
- Department of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530022, People's Republic of China.,Department of Neurology, The First People's Hospital of Nanning, Nanning, Guangxi, 530022, People's Republic of China
| | - Peiling Liao
- Department of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530022, People's Republic of China.,Department of Neurology, The First People's Hospital of Nanning, Nanning, Guangxi, 530022, People's Republic of China
| | - Rongjie Li
- Department of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530022, People's Republic of China.,Department of Neurology, The First People's Hospital of Nanning, Nanning, Guangxi, 530022, People's Republic of China
| | - Qingfang Nong
- Department of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530022, People's Republic of China.,Department of Neurology, The First People's Hospital of Nanning, Nanning, Guangxi, 530022, People's Republic of China
| | - Youshi Meng
- Department of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530022, People's Republic of China.,Department of Neurology, The First People's Hospital of Nanning, Nanning, Guangxi, 530022, People's Republic of China
| | - Donghua Zou
- Department of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530022, People's Republic of China
| | - Xianfeng Li
- Department of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530022, People's Republic of China.,Department of Neurology, The First People's Hospital of Nanning, Nanning, Guangxi, 530022, People's Republic of China
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Dumurgier J, Tzourio C. Epidemiology of neurological diseases in older adults. Rev Neurol (Paris) 2020; 176:642-648. [PMID: 32145981 DOI: 10.1016/j.neurol.2020.01.356] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 12/20/2019] [Accepted: 01/28/2020] [Indexed: 02/07/2023]
Abstract
Neurological diseases refer to the diseases that target the nervous system (brain, spine or nerves). They are the second leading cause of death, and the first cause of severe long-term disability in the world. The prevalence of most neurological diseases increases sharply with age, and age also modulates the impact of risk factors, clinical presentation and the natural course of these diseases. Longitudinal population-based studies provide useful insights for a better understanding of the specificities of neurological diseases in older adults by assessment of a wide range of risk factors. Rapid population aging, especially in low-income countries, presents challenges in terms of health and social care. A multidisciplinary approach is necessary to find solutions to tackle the burden of neurological diseases in older adults.
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Affiliation(s)
- J Dumurgier
- Cognitive Neurology Center, Saint-Louis - Lariboisière - Fernand-Widal Hospital, AP-HP, université de Paris, Paris, France; Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, université de Paris, Paris, France.
| | - C Tzourio
- Bordeaux Population Health Research Center, UMR1219, université de Bordeaux, Bordeaux, France
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