bioRxiv ScienceSearch

bioRxiv · 10.1101/748087

Hyperactive MEK1 signaling in cortical GABAergic interneurons causes embryonic parvalbumin-neuron death and deficits in behavioral inhibition

Abstract

Abnormal ERK/MAPK pathway activity is an important contributor to the neuropathogenesis of many disorders including Fragile X, Rett, 16p11.2 Syndromes, and the RASopathies. Individuals with these syndromes often present with intellectual disability, ADHD, autism, and epilepsy. However, the pathological mechanisms that underly these deficits are not fully understood. Here, we examined whether hyperactivation of MEK1 signaling modifies the development of GABAergic cortical interneurons (CINs), a heterogeneous population of inhibitory neurons necessary for cortical function. We show that GABAergic-neuron specific MEK1 hyperactivation in vivo leads to increased cleaved caspase-3 labeling in a subpopulation of immature neurons in the embryonic subpallium. Adult mutants displayed a significant loss of mature parvalbumin-expressing (PV) CINs, but not somatostatin-expressing CINs, during postnatal development and a modest reduction in perisomatic inhibitory synapse formation on excitatory neurons. Surviving mutant PV-CINs maintained a typical fast-spiking phenotype and minor differences in intrinsic electrophysiological properties. These changes coincided with an increased risk of seizure-like phenotypes. In contrast to other mouse models of PV-CIN loss, we discovered a robust increase in the accumulation of perineuronal nets, an extracellular structure thought to restrict plasticity in the developing brain. Indeed, we found that mutants exhibit a significant impairment in the acquisition of a behavioral test that relies on behavioral response inhibition, a process linked to ADHD-like phenotypes. Overall, our data suggests PV-CIN development is particularly sensitive to hyperactive MEK1 signaling which may underlie neurological deficits frequently observed in ERK/MAPK-linked syndromes.\n\nSignificance StatementThe RASopathies are a family of neurodevelopmental syndromes caused by mutations that lead to increased RAS/RAF/MEK/ERK signaling and are associated with intellectual disability, epilepsy, and ADHD. We do not fully understand how distinct neuronal subtypes are affected in these syndromes. Here, we show that increased MEK signaling in developing mice promotes the embryonic death of a specific subset of cortical inhibitory neurons that express parvalbumin. Surviving mutant parvalbumin neurons also show significant changes in crucial maturation processes, which coincide with increased seizure susceptibility and profound deficits in behavioral inhibition. These data suggest that deficits in inhibitory circuit development contribute to RASopathy neuropathogenesis and indicate that therapeutic strategies targeting inhibitory interneuron dysfunction may be beneficial for these individuals.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Holter, M. C., Hewitt, L. T., Nishimura, K. J., Bjorklund, G. R., Shah, S., Fry, N. R., Rees, K. P., Gupta, T. A., Daniels, C. W., Li, G., Marsh, S., Treiman, D. M., Olive, M. F., Anderson, T. R., Sanabria, F., Snider, W. D., Newbern, J. M.. 2019-08-27. Hyperactive MEK1 signaling in cortical GABAergic interneurons causes embryonic parvalbumin-neuron death and deficits in behavioral inhibition. https://doi.org/10.1101/748087

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