ArticleFrontiers in aging neuroscience2022
Weakly activated core neuroinflammation pathways were identified as a central signaling mechanism contributing to the chronic neurodegeneration in Alzheimer's disease.
Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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23 citing papers in PubMed, 25 citations in OpenAlex.
- BioMedGraphica: an all-in-one platform for joint textual biomedical prior knowledge and numeric graph generation.Bioinformatics (Oxford, England) · 2026Article
- APOE-stratified Proteomic and Metabolomic Analysis Reveals Mitochondrial Dysfunction Inflammation and Lipid Dysregulation in Alzheimer's Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Modeling Alzheimer's disease with brain organoids: mechanisms, applications, and future directions.Frontiers in cell and developmental biology · 2026Review
- Emerging Potential of Ras-proximate-1 (Rap1) in Mediating Neurodegenerative Diseases.Current neuropharmacology · 2026Review
- BioMedGraphica: An All-in-One Platform for Joint Textual Biomedical Prior Knowledge and Numeric Graph Generation.bioRxiv : the preprint server for biology · 2025Article
- M3NetFlow: A multi-scale multi-hop graph AI model for integrative multi-omic data analysis.iScience · 2025Article
- DeepDrug as an expert guided and AI driven drug repurposing methodology for selecting the lead combination of drugs for Alzheimer's disease.Scientific reports · 2025Article
- MosGraphFlow: a novel integrative graph AI model mining signaling targets from multi-omic data.BMC methods · 2025Article
- M3NetFlow: A novel multi-scale multi-hop graph AI model for integrative multi-omic data analysis.bioRxiv : the preprint server for biology · 2024Article
- mosGraphGen: a novel tool to generate multi-omics signaling graphs to facilitate integrative and interpretable graph AI model development.bioRxiv : the preprint server for biology · 2024Article
- Bibliometric study of sepsis-associated liver injury from 2000 to 2023.World journal of gastroenterology · 2024Article
- mosGraphGPT: a foundation model for multi-omic signaling graphs using generative AI.bioRxiv : the preprint server for biology · 2024Article
- Genetic and multi-omic resources for Alzheimer disease and related dementia from the Knight Alzheimer Disease Research Center.Scientific data · 2024Article
- Biomaterials-based anti-inflammatory treatment strategies for Alzheimer's disease.Neural regeneration research · 2024Review
- mosGraphGen: a novel tool to generate multi-omics signaling graphs to facilitate integrative and interpretable graph AI model development.Bioinformatics advances · 2024Article
- Extracellular vesicles from hiPSC-NSCs can prevent peripheral inflammation-induced cognitive dysfunction with inflammasome inhibition and improved neurogenesis in the hippocampus.Journal of neuroinflammation · 2023Article
- Article
- Therapeutic Candidates for Alzheimer's Disease: Saponins.International journal of molecular sciences · 2023Review
- Alzheimer's Disease Treatment: The Search for a Breakthrough.Medicina (Kaunas, Lithuania) · 2023Review
- Network pharmacology‒based analysis of marine cyanobacteria derived bioactive compounds for application to Alzheimer's disease.Frontiers in pharmacology · 2023Article
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
Objectives: Neuroinflammation signaling has been identified as an important hallmark of Alzheimer's disease (AD) in addition to amyloid β plaques (Aβ) and neurofibrillary tangles (NFTs). However, the molecular mechanisms and biological processes of neuroinflammation remain unclear and have not well delineated using transcriptomics data available. Our objectives are to uncover the core neuroinflammation signaling pathways in AD using integrative network analysis on the transcriptomics data. Materials and methods: From a novel perspective, i.e., investigating weakly activated molecular signals (rather than the strongly activated molecular signals), we developed integrative and systems biology network analysis to uncover potential core neuroinflammation signaling targets and pathways in AD using the two large-scale transcriptomics datasets, i.e., Mayo Clinic (77 controls and 81 AD samples) and ROSMAP (97 controls and 260 AD samples). Results: Our analysis identified interesting core neuroinflammation signaling pathways, which are not systematically reported in the previous studies of AD. Specifically, we identified 7 categories of signaling pathways implicated on AD and related to virus infection: immune response, x-core signaling, apoptosis, lipid dysfunctional, biosynthesis and metabolism, and mineral absorption signaling pathways. More interestingly, most of the genes in the virus infection, immune response, and x-core signaling pathways are associated with inflammation molecular functions. The x-core signaling pathways were defined as a group of 9 signaling proteins: MAPK, Rap1, NF-kappa B, HIF-1, PI3K-Akt, Wnt, TGF-beta, Hippo, and TNF, which indicated the core neuroinflammation signaling pathways responding to the low-level and weakly activated inflammation and hypoxia and leading to the chronic neurodegeneration. It is interesting to investigate the detailed signaling cascades of these weakly activated neuroinflammation signaling pathways causing neurodegeneration in a chronic process, and consequently uncover novel therapeutic targets for effective AD treatment and prevention. Conclusions: The potential core neuroinflammation and associated signaling targets and pathways were identified using integrative network analysis on two large-scale transcriptomics datasets of AD.
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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.