bioRxiv Science⌕ Search

bioRxiv · 10.1101/2025.03.01.640632

The astrocyte Fabp7 gene regulates diurnal seizure threshold and activity-dependent gene expression in mice

Abstract

Epileptic seizures are often influenced by time-of-day and changes in vigilance state, yet the molecular and cellular mechanisms underpinning these associations remain poorly understood. Astrocytes, a pivotal type of glial cell, play a critical role in modulating neuronal excitability and circadian rhythms, and they express Fatty Acid Binding Protein 7 (Fabp7), a molecule vital for sleep regulation, lipid signaling, and gene transcription. This study investigates the role of Fabp7 in determining time-of-day dependent seizure susceptibility. We assessed electroshock seizure thresholds in male C57/BL6N wild-type (WT) and Fabp7 knockout (KO) mice. Results demonstrated that, compared to WT mice, Fabp7 KO mice displayed significantly elevated general and maximal electroshock seizure thresholds (GEST and MEST) during the dark phase, but not during the light phase. To explore the impact of Fabp7 on activity-dependent gene expression during seizures, we conducted RNA sequencing (RNA-seq) on cortical and hippocampal tissues from WT and Fabp7 KO mice following MEST and SHAM procedures during the dark period. While immediate early genes (IEGs) showed considerable differential expression between WT-MEST and WT-SHAM, this expression was absent in Fabp7 KO-MEST compared to Fabp7 KO-SHAM. Gene ontology analyses revealed significant overlaps between the WT-MEST:WT-SHAM and Fabp7 KO-SHAM:WT-SHAM comparisons, indicating that the basal mRNA expression profiles in Fabp7 KO brains resemble those of WT brains in a post-ictal state. Collectively, these findings suggest that Fabp7 is a key regulator of time-of-day dependent neural excitability and that astrocyte-mediated signaling pathways involving Fabp7 interact with neuronal activity to influence gene expression in response to seizures. Significance StatementChanges in sleep/wake state and/or circadian time-of-day are thought to influence neural excitability, which may confer seizure susceptibility. Here we describe a role for astrocytic Fabp7 in regulating nocturnal seizure threshold and gene expression associated with differences in seizure susceptibility, introducing an astrocyte factor that may represent a novel antiepileptic target for drug development.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Lefton, M., Flores, C. C., Owada, Y., Davis, C. J., Ferraro, T. N., Lee, Y., Schroeder, W. L., Gerstner, J. R.. 2025-03-02. The astrocyte Fabp7 gene regulates diurnal seizure threshold and activity-dependent gene expression in mice. https://doi.org/10.1101/2025.03.01.640632

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↗