bioRxiv Science⌕ Search

bioRxiv · 10.1101/2023.12.17.572086

Fluvoxamine maleate ameliorates Alzheimer disease pathology by mitigating amyloid-beta load and neuroinflammation in 5XFAD mice

Abstract

BackgroundAlzheimer pathology (AD) is accompanied by the deposition of amyloid beta (A{beta}) and chronic neuroinflammation, where NLRP3 inflammasome is particularly involved. In this study, we found that the OCD drug fluvoxamine maleate (FXN) can potently ameliorate AD pathology in 5XFAD mice by autophagy-mediated clearance of A{beta} and inhibition of NLRP3 inflammasome. MethodsWe used mice primary astrocytes to establish the mechanism of action of FXN against NLRP3 inflammasome by using various techniques like ELISA, Western blotting, confocal microscopy, Immunofluorescence, etc. The validation of the anti-AD activity of FXN was done in transgenic 5XFAD mice after two months of treatment followed by behavior analysis and studying inflammatory and autophagy proteins along with immunohistochemistry analysis for A{beta} load in the hippocampi. ResultsOur data showed that FXN induces autophagy to inhibit NF-{kappa}B and NLRP3 inflammasome at a low concentration of 78 nM apart from directly inhibiting NLRP3 inflammasome in primary astrocytes. FXN activated the PRKAA2 pathway through CAMKK2 signaling, which led to the induction of autophagy in primary astrocytes. FXN inhibited the ATP-mediated NLRP3 inflammasome through autophagic degradation of NF-{kappa}B and thus caused the downregulation of pro-IL-1{beta} and NLRP3. The anti-NLRP3 inflammasome effect of FXN was reversed when autophagy was inhibited either by genetic knockdown of the PRKAA2 pathway or by bafilomycin A1. Furthermore, FXN treatment led to improved AD pathology in 5XFAD mice, which displayed a significant improvement in multiple behavior parameters like working memory and neuromuscular coordination and they behaved more like wild-type animals. We found that FXN improved behavior in 5XFAD mice by clearing the A{beta} deposits from the hippocampi along with a significant reduction in multiple inflammatory proteins, including NF-{kappa}B, GFAP, IBA1, IL-1{beta}, TNF-, and IL-6 associated with NF-{kappa}B and NLRP3 inflammasome in the brain. Moreover, these changes were accompanied by increased expression of autophagic proteins. ConclusionOur data suggest that to ameliorate AD pathology, FXN simultaneously targets two key pathological features of AD that is A{beta} deposits and neuroinflammation. Being an approved drug, FXN can be pushed as a potential drug candidate for human studies against AD.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Kaur, S., Sharma, K., Sharma, A., Sandha, K. K., Ali, S. M., Ahmed, R., Ramajayan, P., Singh, P. P., Ahmed, Z., Kumar, A.. 2023-12-18. Fluvoxamine maleate ameliorates Alzheimer disease pathology by mitigating amyloid-beta load and neuroinflammation in 5XFAD mice. https://doi.org/10.1101/2023.12.17.572086

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

The Unreasonable Effectiveness of Cell Types in Describing Neuronal Physiological Features

Single-cell RNA sequencing (scRNA-seq) captures detailed gene expression profiles at scale, while patch-clamp recordings measure intrinsic neuronal electrophysiological properties. Modeling the relations between these two modalities remains a challenge. Here, we compare how well electrophysiological features can be predicted by traditional transcriptomic cell type classification, representations derived from a foundational model (scGPT) pretrained on large-scale scRNA-seq datasets, ion channel-coding genes, and highly variable genes. Using paired transcriptomic and electrophysiological patch-sequencing data from 495 human neurons from neurosurgical tissue, we find that cluster-level cell type representations consistently outperform highly variable gene selection, ion channel gene selection, and context-enriched scGPT embeddings. Notably, performance varies across model architectures and initializations, and the best results are obtained by combining the outputs of separate cell type and scGPT-based models. Together, these findings suggest that traditional discrete cellular classification is highly effective in predicting physiological features. For maximum performance it can be complemented by pretrained transformer models.

neuroscience↗

A nonlinear inhibition pathway underlying cortical responses to tuned holographic optogenetic perturbations

Optogenetics enables causal manipulation of cortical activity. Perturbation responses can be counterintuitive due to network interactions, making theory essential for predicting them. Existing approaches often rely on linear approximations, which fail for many biologically relevant perturbations. Here we develop a nonlinear theory of responses to holographic perturbations in cell-type-specific recurrent networks with structured connectivity. We fit a nonlinear model to mouse V1 data, which shows cotuned-ensemble suppression: perturbing spatially clustered neurons with similar preferred orientations yields markedly stronger short-range suppression than perturbing untuned ensembles. We show that cotuned-ensemble suppression arises from a feature-tuned, nonlinear inhibition pathway implicating somatostatin-positive (SST) interneurons. The theory predicts that cotuned ensembles suppress parvalbumin-positive (PV) neurons but facilitate SST neurons, and links the degree of cotuned-ensemble suppression or facilitation to the variance of the SST response. This framework identifies mechanisms by which nonlinear inhibition sculpts cortical dynamics and establishes a predictive basis for targeted optogenetic interventions.

neuroscience↗

Proteomic signatures of APOE ε4 across human tissues and cell types in Alzheimers disease

The apolipoprotein E {varepsilon}4 (APOE {varepsilon}4) allele is the strongest genetic risk factor for late-onset Alzheimers disease (AD). However, the underlying molecular mechanisms remain unclear. This study included 1691 participants from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP), 1226 participants from the Accelerating Medicines Partnership - Alzheimers Disease (AMP-AD) Diverse Cohorts Study, and 735 participants from the Alzheimers Disease Neuroimaging Initiative (ADNI). To characterise APOE {varepsilon}4 molecular effects, we analysed proteomic data from plasma, cerebrospinal fluid (CSF), and induced pluripotent stem cell (iPSC)-derived astrocytes and neurons, as well as transcriptomic and proteomic data from multiple brain regions. The association of APOE {varepsilon}4 with AD neuropathology was also examined. APOE {varepsilon}4 carriers shared a plasma proteomic signature enriched for immune processes, irrespective of AD diagnosis. A machine learning classifier trained on this signature discriminated APOE {varepsilon}4 carriers from non-carriers in an independent cohort using CSF proteomics. APOE {varepsilon}4 carriage was associated with higher Braak stages and Consortium to Establish a Registry for Alzheimers Disease (CERAD) score. However, only limited APOE {varepsilon}4-associated transcriptomic and proteomic changes were observed in bulk brain tissue, with poor cross-layer concordance. Proteomic analyses of iPSC-derived astrocytes and neurons further revealed cell-type-specific APOE {varepsilon}4-associated changes. APOE {varepsilon}4 is associated with a consistent proteomic signature across plasma and CSF. Its molecular effects in the brain differ across cell types, brain regions and molecular layers. These findings support the need for cell-type-resolved multi-omic studies to elucidate how APOE {varepsilon}4 confers AD risk.

neuroscience↗