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Quantitative 3D In Silico Modeling (q3DISM) of Cerebral Amyloid-beta Phagocytosis in Rodent Models of Alzheimer's Disease
Published on: December 26, 2016
Pharmacological targeting of neuroimmune-synaptic interactions in Alzheimer's disease: Integrating NETosis,
1Institute of Food Science and Technology, National Taiwan University, Taipei 10617, Taiwan.
Abstract:
Alzheimer's disease (AD) is increasingly recognized as a disorder involving interacting neuroimmune, glial, vascular, and synaptic processes that are not fully captured by single-pathway therapeutic models. Although anti-amyloid monoclonal antibodies slow clinical progression in selected early amyloid-positive patients, their benefit remains stage-dependent, monitoring-intensive, and incomplete with respect to downstream neural dysfunction. Clinically, vulnerable older adults may show abrupt cognitive decline after pneumonia-related hospitalization or other severe infections. This observation raises a pharmacological question: whether infection-triggered peripheral immune events activate modifiable risk processes before they become sustained neuroimmune and synaptic dysfunction. NETosis is one candidate mechanism linking peripheral inflammatory stress to endothelial injury, blood-brain barrier vulnerability, myeloid priming, and microglial dysregulation. Acute infection may represent a high-intensity peripheral NETosis-related trigger, whereas periodontitis provides a chronic, low-grade, neutrophil-rich, microbially driven, clinically measurable, and modifiable peripheral inflammatory model. We propose a node-based pharmacological framework organized around NETosis-associated immune amplification, microglial state dysregulation, and synaptic vulnerability. Selected phytochemicals are examined as node-aligned pharmacological probes rather than validated AD therapeutics: baicalin and hesperidin for NETosis-associated immune amplification, berberine for microglial state modulation, and catalpol as a synapse-proximal candidate.
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