ArticleAlzheimer's research & therapy2017
Analyzing the genes related to Alzheimer's disease via a network and pathway-based approach.
Article in Alzheimer's research & therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.
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Who cites it
61 citing papers in PubMed, 1 synthesis or guideline pooled it, 111 citations in OpenAlex.
- A Network and Pathway Analysis of Genes Associated With Atrial Fibrillation.Cardiovascular therapeutics · 2024Pooled it
- Differential DNA methylation in blood as potential mediator of the association between ambient PMMolecular psychiatry · 2026Article
- Functional Annotation of Alzheimer's Disease-Associated SNPs Based on Three-Dimensional Chromatin Structure.International journal of molecular sciences · 2026Article
- Unravelling Synaptic and Metabolic Mechanisms of Cognitive Resilience in Asymptomatic Alzheimer's Disease Across Two Alzheimer's Disease Cohorts.Cellular and molecular neurobiology · 2026Article
- Natural Products Targeting Alzheimer's Disease via NF-κB Pathway: A Review.CNS & neurological disorders drug targets · 2026Review
- Genetic and Pathogenic Overlaps Between Autism Spectrum Disorder and Alzheimer's Disease: Evolutionary Features and Opportunities for Drug Repurposing.International journal of molecular sciences · 2025Article
- An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease.Journal of neural engineering · 2025Article
- Exploring the Role of microRNAs as Blood Biomarkers in Alzheimer's Disease and Frontotemporal Dementia.International journal of molecular sciences · 2025Review
- Article
- Predicting Alzheimer's Cognitive Resilience Score: A Comparative Study of Machine Learning Models Using RNA-seq Data.bioRxiv : the preprint server for biology · 2024Article
- Single-cell genomics and regulatory networks for 388 human brains.Science (New York, N.Y.) · 2024Article
- Characterizing dysregulations via cell-cell communications in Alzheimer's brains using single-cell transcriptomes.BMC neuroscience · 2024Article
- Personalized Protein-Protein Interaction Networks Towards Unraveling the Molecular Mechanisms of Alzheimer's Disease.Molecular neurobiology · 2024Article
- Single-cell genomics and regulatory networks for 388 human brains.bioRxiv : the preprint server for biology · 2024Article
- Investigating the Potential Shared Molecular Mechanisms between COVID-19 and Alzheimer's Disease via Transcriptomic Analysis.Viruses · 2024Article
- Aligning Cross-Species Interactomes for Studying Complex and Chronic Diseases.Life (Basel, Switzerland) · 2023Article
- Mechanism of action deconvolution of the small-molecule pathological tau aggregation inhibitor Anle138b.Alzheimer's research & therapy · 2023Article
- The foundation and architecture of precision medicine in neurology and psychiatry.Trends in neurosciences · 2023Review
- A Genome-Wide Functional Screen Identifies Enhancer and Protective Genes for Amyloid Beta-Peptide Toxicity.International journal of molecular sciences · 2023Article
- Pooled analysis of frontal lobe transcriptomic data identifies key mitophagy gene changes in Alzheimer's disease brain.Frontiers in aging neuroscience · 2023Article
1 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOur understanding of the molecular mechanisms underlying Alzheimer's disease (AD) remains incomplete. Previous studies have revealed that genetic factors provide a significant contribution to the pathogenesis and development of AD. In the past years, numerous genes implicated in this disease have been identified via genetic association studies on candidate genes or at the genome-wide level. However, in many cases, the roles of these genes and their interactions in AD are still unclear. A comprehensive and systematic analysis focusing on the biological function and interactions of these genes in the context of AD will therefore provide valuable insights to understand the molecular features of the disease.
methodIn this study, we collected genes potentially associated with AD by screening publications on genetic association studies deposited in PubMed. The major biological themes linked with these genes were then revealed by function and biochemical pathway enrichment analysis, and the relation between the pathways was explored by pathway crosstalk analysis. Furthermore, the network features of these AD-related genes were analyzed in the context of human interactome and an AD-specific network was inferred using the Steiner minimal tree algorithm.
resultsWe compiled 430 human genes reported to be associated with AD from 823 publications. Biological theme analysis indicated that the biological processes and biochemical pathways related to neurodevelopment, metabolism, cell growth and/or survival, and immunology were enriched in these genes. Pathway crosstalk analysis then revealed that the significantly enriched pathways could be grouped into three interlinked modules-neuronal and metabolic module, cell growth/survival and neuroendocrine pathway module, and immune response-related module-indicating an AD-specific immune-endocrine-neuronal regulatory network. Furthermore, an AD-specific protein network was inferred and novel genes potentially associated with AD were identified.
conclusionBy means of network and pathway-based methodology, we explored the pathogenetic mechanism underlying AD at a systems biology level. Results from our work could provide valuable clues for understanding the molecular mechanism underlying AD. In addition, the framework proposed in this study could be used to investigate the pathological molecular network and genes relevant to other complex diseases or phenotypes.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.