ReviewFrontiers in immunology2026
Calibrating microglia states in Alzheimer's disease: decoding immune-metabolic networks and nano-targeted multicomponent therapies.
Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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0 citing papers in PubMed.
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Authors and funding
11 authors.
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Abstract
Alzheimer's disease treatment is shifting from pathology removal to regulating the brain microenvironment. Anti-Aβ monoclonal antibodies, such as lecanemab and donanemab, provide statistically significant disease-modifying effects but offer only modest cognitive improvement and pose safety risks, including amyloid-related imaging abnormalities. These results show that amyloid clearance is clinically relevant but not sufficient for full restoration of neuroimmune, metabolic, synaptic, and neurovascular balance. Microglia are now seen as central to Alzheimer's disease susceptibility and progression, existing along dynamic, spatially organized, sex-influenced, and genetically determined continua beyond a simple pro- or anti-inflammatory state. This review calls out three key drivers of microglial dysfunction: the TREM2-APOE lipid-sensing axis, complement-mediated synaptic elimination, and immunometabolic reprogramming-including glycolysis, mitochondrial damage, autophagy failure, NAD+ depletion, and innate immune signaling. We examine natural bioactive compounds, metabolic modulators, and biomimetic nanodelivery as promising, yet currently unproven, strategies for adjusting microglial state. Future therapies should incorporate both pathology removal and microenvironment protection, tailored by disease stage, genetic profile, sex, vascular risk, and microglial state-associated biomarkers.
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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 Socratic graph.