Biology subjects

Isom, L.

Publications and source records attributed to Isom, L..

3 recordsLinked to original sources

bioRxiv2026

The impact of seizures on REM sleep and the cholinergic pedunculopontine nucleus in a mouse model of Dravet Syndrome

Sleep disruption is a common and burdensome feature in epilepsy, with rapid eye movement (REM) sleep particularly affected. While sleep disturbances in epilepsy patients are multifactorial, clinical evidence suggests that recent seizures acutely impair REM sleep architecture. To investigate this relationship, we used a haploinsufficient mouse model of Dravet Syndrome, which allows experimental control of seizure timing and burden. We found that hyperthermia-induced seizures profoundly decreased subsequent sleep, specifically impairing REM entry. In vivo fiber photometry revealed acute, seizure-induced activation of cholinergic neurons in the pedunculopontine nucleus (PPN), a brainstem structure critical for REM entry. We additionally found that repeated seizures triggered anatomical changes in the PPN, including reduced cholinergic neuron number and significant hypertrophy of remaining cholinergic neurons. These results suggest seizures are a driver of both acute and chronic disruption of PPN cholinergic networks, which in turn impair REM sleep in epilepsy. Our findings identify the PPN as a potential therapeutic target for interventions to address sleep-related sequelae of seizures.

neuroscience↗

bioRxiv2025

EpiPred: A gene-specific machine learning model for classifying missense variants in the epilepsy-related gene STXBP1

Missense variants in the STXBP1 gene are a frequent cause of early-onset developmental and epileptic encephalopathies and related neurodevelopmental disorders, but the clinical interpretation of these variants remains a major challenge. Most reported STXBP1 missense variants are classified as variants of uncertain significance (VUS), complicating diagnosis, counseling, and patient eligibility for precision therapies. Here, we developed EpiPred, a gene-specific machine learning classifier that predicts the pathogenicity of STXBP1 missense variants by integrating computational features with empirical evidence from cellular assays. Trained on a curated set of pathogenic and benign variants, EpiPred outperformed leading global prediction tools in accuracy, sensitivity, and specificity. We validated the models predictions using functional assays that measure protein abundance, solubility, stability, and interaction with the SNARE complex partner syntaxin 1. These biochemical readouts aligned closely with model outputs and enabled reclassification of several likely misdiagnosed variants. We deployed EpiPred in an interactive web application that allows clinicians, researchers, and patients to explore predictions for all possible missense variants in STXBP1. Our approach illustrates the power of gene-specific predictive modeling combined with experimental validation to improve variant interpretation and diagnostic resolution. By identifying likely pathogenic STXBP1 variants, including those that may respond to emerging therapies such as molecular chaperones, EpiPred supports more precise genetic diagnoses and offers a generalizable framework for other clinically relevant genes in neurological disease. ONE SENTENCE SUMMARYEpiPred improves STXBP1 variant interpretation, enabling precision genetic diagnoses and promoting access to targeted precision therapies

genetics↗

bioRxiv2025

Robust Production of Parvalbumin Cortical Interneurons and Fast-Spiking Neurons from Human Medial Ganglionic Eminence Organoids

The medial ganglionic eminence (MGE) gives rise to parvalbumin (PV)-and somatostatin (SST)-expressing cortical interneurons essential for regulating cortical excitability. Although PV interneurons are linked to various neurodevelopmental and neurodegenerative disorders, reliably generating them from human pluripotent stem cells (hPSCs) has been extremely challenging. We present a robust, reproducible protocol for generating single-rosette MGE organoids (MGEOs) from hPSCs. Transcriptomic analyses reveal that MGEOs exhibit MGE regional identity and faithfully model the developing human fetal MGE. As MGEOs mature, they generate abundant PV-expressing cortical interneurons, including putative basket and axoaxonic cells, at a scale not previously achieved in vitro. When fused with human cortical organoids (hCOs), these interneurons rapidly migrate into the hCOs, integrate into excitatory networks, and contribute to complex electrophysiological patterns and the emergence of large numbers of fast-spiking neurons. Using this model, we uncover a previously unreported migration deficit of MGE interneurons in a disease model of SLC6A1 developmental and epileptic encephalopathy, offering potential insights into the developmental contributions to epileptogenesis. MGEOs thus offer a powerful in vitro approach for probing human MGE-lineage cortical and subcortical GABAergic neuron development, modeling various neuropsychiatric disorders, and advancing cell-based therapies for neurodevelopmental and neurodegenerative disorders. HighlightsO_LIGeneration of subpallial organoids highly enriched for MGE lineages C_LIO_LIMGE organoids (MGEOs) robustly produce parvalbumin-expressing cortical interneurons C_LIO_LIComplex network activity and fast-spiking neurons are generated in assembloids C_LIO_LIImpaired interneuron migration in SLC6A1 knockout and patient-derived MGEOs C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/662594v2_ufig1.gif" ALT="Figure 1"> View larger version (69K): org.highwire.dtl.DTLVardef@1fce574org.highwire.dtl.DTLVardef@3c28d2org.highwire.dtl.DTLVardef@19bf737org.highwire.dtl.DTLVardef@834f2b_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗