Amyloid precursor protein (APP) is endoproteolytically processed by BACE1 and gamma-secretase to release amyloid peptides (Abeta40 and 42) that aggregate to form senile plaques in the brains of patients with Alzheimer's disease (AD). The C-terminus of Abeta40/42 is generated by gamma-secretase, whose activity is dependent upon presenilin (PS 1 or 2). Missense mutations in PS1 (and PS2) occur in patients with early-onset familial AD (FAD), and previous studies in transgenic mice and cultured cell models demonstrated that FAD-PS1 variants shift the ratio of Abeta40 : 42 to favor Abeta42. One hypothesis to explain this outcome is that mutant PS alters the specificity of gamma-secretase to favor production of Abeta42 at the expense of Abeta40. To test this hypothesis in vivo, we studied Abeta40 and 42 levels in a series of transgenic mice that co-express the Swedish mutation of APP (APPswe) with two FAD-PS1 variants that differentially accelerate amyloid pathology in the brain. We demonstrate a direct correlation between the concentration of Abeta42 and the rate of amyloid deposition. We further show that the shift in Abeta42 : 40 ratios associated with the expression of FAD-PS1 variants is due to a specific elevation in the steady-state levels of Abeta42, while maintaining a constant level of Abeta40. These data suggest that PS1 variants do not simply alter the preferred cleavage site for gamma-secretase, but rather that they have more complex effects on the regulation of gamma-secretase and its access to substrates.

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SUMMARY Abnormal NFκB activation has been implicated in Alzheimer’s disease (AD). However, the signaling pathways governing NFκB regulation and function in the brain are poorly understood. We identify complement protein C3 as an astroglial target of NFκB, and show that C3 release acts through neuronal C3aR to disrupt dendritic morphology and network function. Exposure to Aβ activates astroglial NFκB and C3 release, consistent with the high levels of C3 expression in brain tissue from AD patients and APP transgenic mice, where C3aR antagonist treatment rescues cognitive impairment. Thus, dysregulation of neuron-glia interaction through NFκB/C3/C3aR signaling may contribute to synaptic dysfunction in AD and C3aR antagonists may be therapeutically beneficial.

Increasing evidence supports a role of neuroinflammation in the pathogenesis of Alzheimer's disease (AD). Previously, we identified a neuron-glia signaling pathway whereby A␤ acts as an upstream activator of astroglial nuclear factor kappa B (NF-B), leading to the release of complement C3, which acts on the neuronal C3a receptor (C3aR) to influence dendritic morphology and cognitive function. Here we report that astrocytic complement activation also regulates A␤ dynamics in vitro and amyloid pathology in AD mouse models through microglial C3aR. We show that in primary microglial cultures, acute C3 or C3a activation promotes, whereas chronic C3/C3a treatment attenuates, microglial phagocytosis and that the effect of chronic C3 exposure can be blocked by cotreatment with a C3aR antagonist and by genetic deletion of C3aR. We further demonstrate that A␤ pathology and neuroinflammation in amyloid precursor protein (APP) transgenic mice are worsened by astroglial NF-B hyperactivation and resulting C3 elevation, whereas treatment with the C3aR antagonist (C3aRA) ameliorates plaque load and microgliosis. Our studies define a complement-dependent intercellular cross talk in which neuronal overproduction of A␤ activates astroglial NF-B to elicit extracellular release of C3. This promotes a pathogenic cycle by which C3 in turn interacts with neuronal and microglial C3aR to alter cognitive function and impair A␤ phagocytosis. This feedforward loop can be effectively blocked by C3aR inhibition, supporting the therapeutic potential of C3aR antagonists under chronic neuroinflammation conditions.

Disease Research (CNDR). Written informed consent was obtained from all subjects. The cases used in this study are summarized in Supplemental Table 3. RNA-seq data. All original RNA-seq data were previously deposited in the NCBI's Gene Expression Omnibus database (GEO GSE101689).