ArticleInternational journal of molecular sciences2020
Transcriptomic and Network Analysis Identifies Shared and Unique Pathways across Dementia Spectrum Disorders.
Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- Pooled it
- Comprehensive Integration of Genome-Wide Association and Gene Expression Studies Reveals Novel Gene Signatures and Potential Therapeutic Targets forFrontiers in immunology · 2021Pooled it
- Mechanism of action and therapeutic potential of S100A8/A9 in neuroinflammation and cognitive impairment: From molecular target to clinical application (Review).International journal of molecular medicine · 2025Review
- Long-read sequencing identifies ATXN3 repeat expansions, and transcriptomics reveals disease progression biomarkers and druggable targets for spinocerebellar ataxia type 3.BMC neurology · 2025Article
- Longitudinal evaluation of common and unique brain-networks in variants of primary progressive aphasia.Alzheimer's research & therapy · 2025Article
- Improving genetic risk modeling of dementia from real-world data in underrepresented populations.Communications biology · 2024Article
- Cytosolic calcium: Judge, jury and executioner of neurodegeneration in Alzheimer's disease and beyond.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023Review
- Cell Death and Neurodegenerative Diseases: Mechanisms and Cytoprotective Molecules.International journal of molecular sciences · 2023Article
- Exploratory Transcriptomic Profiling Reveals the Role of Gut Microbiota in Vascular Dementia.International journal of molecular sciences · 2023Article
- Distinct cell type-specific protein signatures in GRN and MAPT genetic subtypes of frontotemporal dementia.Acta neuropathologica communications · 2022Article
- Exercise Modifies the Transcriptional Regulatory Features of Monocytes in Alzheimer's Patients: A Multi-Omics Integration Analysis Based on Single Cell Technology.Frontiers in aging neuroscience · 2022Article
- Non-coding variants in MYH11, FZD3, and SORCS3 are associated with dementia in women.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2021Article
- Comparative Analysis of Multiple Neurodegenerative Diseases Based on Advanced Epigenetic Aging Brain.Frontiers in genetics · 2021Article
- Transcriptomic and Network Meta-Analysis of Frontotemporal Dementias.Frontiers in molecular neuroscience · 2021Article
- Article
- Bioinformatic Analysis Reveals Phosphodiesterase 4D-Interacting Protein as a Key Frontal Cortex Dementia Switch Gene.International journal of molecular sciences · 2020Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundDementia is a growing public health concern with an estimated prevalence of 50 million people worldwide. Alzheimer's disease (AD) and vascular and frontotemporal dementias (VaD, FTD), share many clinical, genetical, and pathological features making the diagnosis difficult.
methodsIn this study, we compared the transcriptome from the frontal cortex of patients with AD, VaD, and FTD to identify dysregulated pathways.
resultsUpregulated genes in AD were enriched in adherens and tight junctions, mitogen-activated protein kinase, and phosphatidylinositol 3-kinase and protein kinase B/Akt signaling pathways, whereas downregulated genes associated with calcium signaling. Upregulated genes in VaD were centered on infectious diseases and nuclear factor kappa beta signaling, whereas downregulated genes are involved in biosynthesis of amino acids and the pentose phosphate pathway. Upregulated genes in FTD were associated with ECM receptor interactions and the lysosome, whereas downregulated genes were involved in glutamatergic synapse and MAPK signaling. The transcription factor KFL4 was shared among the 3 types of dementia.
conclusionsCollectively, we identified similarities and differences in dysregulated pathways and transcription factors among the dementias. The shared pathways and transcription factors may indicate a potential common etiology, whereas the differences may be useful for distinguishing dementias.
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Registered trials
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