Search bioRxivSearch

bioRxiv · 10.1101/2021.03.04.433352

Arc rescues defective synaptic plasticity and cognitive dysfunction in sepsis-associated encephalopathy

Abstract

Sepsis-associated encephalopathy (SAE) is a frequent complication in patients with severe systemic infection resulting in acute brain dysfunction and incapacitating long-term sequelae. SAE includes delirium, premature death, post-traumatic stress disorder, and major long-term cognitive impairment. The underlying pathophysiology of SAE is largely unresolved and specific treatment options are missing. We induced the peritoneal contamination and infection (PCI) sepsis model in 769 mice and compared these with 259 control mice. We found that experimental sepsis causes synaptic pathology in the brain characterized by severely disordered synaptic plasticity with reduced long-term potentiation, changes in CA1 pyramidal neuron dendritic spines, and behavioral abnormalities indicating cognitive dysfunction. Using electrophysiology, we found reduced frequency of quantal and spontaneous excitatory postsynaptic currents whereas amplitudes of miniature, spontaneous, and evoked excitatory currents were increased, pointing towards a homeostatic synaptic scaling mechanism. Corresponding to dysfunctional excitatory synaptic function we discovered downregulation of genes related to neuronal and synaptic signaling in the brain, including the gene for activity-regulated cytoskeleton-associated protein (Arc/Arg3.1), members of the transcription-regulatory EGR gene family, and the gene for dual-specificity phosphatase 6 (Dusp6). At the protein level, ARC expression and MAP kinase signaling in the brain were affected. For targeted rescue of dysfunctional synaptic signaling and plasticity, we overexpressed ARC in the hippocampus by microinjection of an adeno-associated virus containing a neuron-specific plasmid of the ARC transgene. Hereby we achieved recovery of defective synaptic plasticity in the hippocampal Schaffer collateral-CA1 pathway and improvement of memory dysfunction. Using a different rescue paradigm, PCI mice were subjected to enriched environment providing multiple activating stimuli. Enriched environment led to restoration of disordered long-term potentiation and memory, thus demonstrating the potential for activity-induced improvement. Together, we identified synaptic pathomechanisms of SAE after severe systemic infection and provide a conceptual approach to treat SAE-related disease mechanisms which may be applicable to patients afflicted with SAE.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Grünewald, B., Wickel, J., Hahn, N., Hörhold, F., Rupp, H., Chung, H.-Y., Haselmann, H., Strauss, A. S., Schmidl, L., Hempel, N., Grünewald, L., Urbach, A., Blaess, M., Claus, R. A., König, R., Geis, C.. 2021-03-06. Arc rescues defective synaptic plasticity and cognitive dysfunction in sepsis-associated encephalopathy. https://doi.org/10.1101/2021.03.04.433352

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