ArticleTheoretical biology & medical modelling2020
An agent-based model to investigate microbial initiation of Alzheimer's via the olfactory system.
Article in Theoretical biology & medical modelling, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 22 citations in OpenAlex.
- Beyond association: A quantitative analysis of the infectious burden in Alzheimer's disease.Journal of Alzheimer's disease : JAD · 2026Article
- Therapeutic targeting of oligodendrocytes in an agent-based model of multiple sclerosis.PLoS computational biology · 2026Article
- Nanomedicine-Driven Modulation of the Gut-Brain Axis: Innovative Approaches to Managing Chronic Inflammation in Alzheimer's and Parkinson's Disease.International journal of molecular sciences · 2025Review
- Unraveling brain aging through the lens of oral microbiota.Neural regeneration research · 2025Article
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- A review of the roles of pathogens in Alzheimer's disease.Frontiers in neuroscience · 2024Review
- [Relationship between Oral Microbiota and Alzheimer's Disease].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2022Review
- Lactoferrin as Immune-Enhancement Strategy for SARS-CoV-2 Infection in Alzheimer's Disease Patients.Frontiers in immunology · 2022Review
- Therapeutic drug repositioning with special emphasis on neurodegenerative diseases: Threats and issues.Frontiers in pharmacology · 2022Review
- Can Control Infections Slow Down the Progression of Alzheimer's Disease? Talking About the Role of Infections in Alzheimer's Disease.Frontiers in aging neuroscience · 2021Review
- The Use of Antimicrobial and Antiviral Drugs in Alzheimer's Disease.International journal of molecular sciences · 2020Review
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlzheimer's disease (AD) is a degenerative brain disease. A novel agent-based modelling framework was developed in NetLogo 3D to provide fundamental insights into the potential mechanisms by which a microbe (eg. Chlamydia pneumoniae) may play a role in late-onset AD. The objective of our initial model is to simulate one possible spatial and temporal pathway of bacterial propagation via the olfactory system, which may then lead to AD symptoms. The model maps the bacteria infecting cells from the nasal cavity and the olfactory epithelium, through the olfactory bulb and into the olfactory cortex and hippocampus regions of the brain.
resultsBased on the set of biological rules, simulated randomized infection by the microbe led to the formation of beta-amyloid (Aβ) plaque and neurofibrillary (NF) tangles as well as caused immune responses. Our initial simulations demonstrated that breathing in C. pneumoniae can result in infection propagation and significant buildup of Aβ plaque and NF tangles in the olfactory cortex and hippocampus. Our model also indicated how mucosal and neural immunity can play a significant role in the pathway considered. Lower immunities, correlated with elderly individuals, had quicker and more Aβ plaque and NF tangle formation counts. In contrast, higher immunities, correlated with younger individuals, demonstrated little to no such formation.
conclusionThe modelling framework provides an organized visual representation of how AD progression may occur via the olfactory system to better understand disease pathogenesis. The model confirms current conclusions in available research but can be easily adjusted to match future evidence and be used by researchers for their own individual purposes. The goal of our initial model is to ultimately guide further hypothesis refinement and experimental testing to better understand the dynamic system interactions present in the etiology and pathogenesis 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.