Biology subjects

Shemen, A.

Publications and source records attributed to Shemen, A..

3 recordsLinked to original sources

bioRxiv2025

Dysregulation of Multiple Solute Carrier genes and Metabolic Deficits in SLC1A4-Mutant Human iPSC-Derived Hippocampal Neurons

Mutations in SLC1A4, which encodes the neuronal amino acid transporter ASCT1, disrupt metabolic and synaptic homeostasis, contributing to neurodevelopmental deficits commonly observed in autism spectrum disorder (ASD). To investigate the underlying molecular mechanisms of SLC1A4-related disorders, we utilized human iPSC-derived hippocampal neurons and applied an integrated multi-omics approach, combining electrophysiology, calcium imaging, metabolomics, proteomics, and transcriptomics. Our findings reveal an initial phase of early neuronal hyperexcitability, driven by increased sodium and potassium currents, followed by a progressive decline in synaptic activity at later stages. Metabolomic analysis identified elevated glycine, serine, and glutamate levels during early differentiation, contributing to excitotoxicity, whereas later glutamate depletion and extracellular matrix (ECM) disruption were associated with synaptic dysfunction. Proteomics data further showed dysregulation in metabolic pathways, amino acid biosynthesis, and fatty acid metabolism pathways during early time points, and in later stage dysregulation in metabolic and ECM-receptor interactions. Additionally, transcriptomic analysis revealed dysregulation in calcium signaling, amino acid metabolism pathways such as valine, leucine and isoleucine degradation, tryptophan metabolism, and glycine, serine, and threonine metabolism. Further investigation of SLC-family transporter genes uncovered disruptions in glutamate and glycine transport, establishing a direct link between amino acid transport dysfunction and neuronal deficits. Collectively, our study demonstrates that SLC1A4 mutations lead to dysregulation of multiple solute carrier protein genes causing metabolic stress, excitability defects, and synaptic abnormalities, providing a molecular framework for understanding SLC1A4-related neurodevelopmental disorders and identifying potential therapeutic targets.

neuroscience↗

bioRxiv2024

Exosomes can modulate the early hyperexcitability in cortical neurons with ASD-associated Shank3 mutation.

Extracellular vesicles (EVs) are lipid membrane-bound structures that mediate intercellular communication by transferring diverse cargoes, including RNA and proteins. Shank3, a synaptic scaffolding protein critical for synapse structure and function, is implicated in autism spectrum disorder (ASD) and Phelan-McDermid Syndrome (PMS). Early hyperexcitability in cortical neurons is a recognized endophenotype in ASD. Here, we investigated EV-mediated effects in the context of Shank3 deficiency using human iPSC-derived cortical neurons and Shank3B-/- mice. Switching EVs between Shank3 mutant and control neurons revealed that Shank3 mutant-derived EVs transferred the hyperexcitability and accelerated maturation phenotypes to control neurons. This was driven by enriched synaptic proteins (e.g., ACTB, CFL1, AGRN, CLSTN1) in Shank3 mutant-derived EVs as confirmed by proteomic analysis. Conversely, control EVs failed to rescue mutant phenotypes consistent with their lower enrichment for synaptic proteins and related pathways. Further, EVs from mesenchymal stem cells (MSCs) and healthy donor iPSCs, containing synaptic modulators such as complement proteins (C1R, C1S), plasticity-related proteins (MDK, IGFBP3), and homeostatic regulators (FGF2, SFRP1), rescued the hyperexcitability and normalized the maturation in Shank3 mutant neurons. Moreover, intranasal administration of iPSC-derived EVs in Shank3B-/- mice significantly ameliorated ASD-like behavioral deficits, underscoring their therapeutic potential. Together, these findings reveal a novel EV-mediated mechanism for modulating dysregulated excitability and synaptic maturation, addressing a critical unmet need in ASD and related neurodevelopmental disorders treatment.

neuroscience↗

bioRxiv2024

Predicting Suicide Risk in Bipolar Disorder patients from Lymphoblastoid Cell Lines genetic signatures

This research investigates the genetic signatures associated with a high risk of suicide in Bipolar disorder (BD) patients through RNA sequencing analysis of lymphoblastoid cell lines (LCLs). By identifying differentially expressed genes (DEGs) and their enrichment in pathways and disease associations, we uncover insights into the molecular mechanisms underlying suicidal behavior. LCL gene expression analysis reveals significant enrichment in pathways related to primary immunodeficiency, ion channel, and cardiovascular defects. Notably, genes such as LCK, KCNN2, and GRIA1 emerged as pivotal in these pathways, suggesting their potential roles as biomarkers. Machine learning models trained on a subset of the patients and then tested on other patients demonstrate high accuracy in distinguishing low and high-risk of suicide in BD patients. Moreover, the study explores the genetic overlap between suicide-related genes and several psychiatric disorders. This comprehensive approach enhances our understanding of the complex interplay between genetics and suicidal behavior, laying the groundwork for future prevention strategies.

neuroscience↗