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Purpose: Autism spectrum disorder (ASD) is a neurodevelopmental condition with complex etiological factors, including genetic predisposition and environmental influences. In particular, exposure to environmental stressors in utero has increasingly been implicated in disrupting fetal neurodevelopment and potentially contributing to the pathogenesis of ASD in offspring. The aim of this study was to investigate the therapeutic potential of oxytocin and to elucidate its underlying molecular mechanisms in a valproic acid (VPA) exposure-induced rat model of ASD.
Methods: To generate the ASD offspring model, pregnant rats received intraperitoneal injections of VPA on embryonic day 12.5 (E12.5). A control group was administered saline instead. Only male offspring were included in subsequent experiments. On postnatal day 21 (P21), VPA-exposed offspring were randomly divided into: (1) VPA group (ASD model) and (2) VPA+OT (oxytocin inhaled daily, 400 ug/kg, P21-42) group. Behavioral assessments (social behaviors, stereotyped behaviors, anxiety-like behaviors) and amygdala RNA sequencing were compared across control group, VPA group, and VPA+OT group. Both threshold and threshold-free bioinformatics analysis methods were employed to identify the potential therapeutic mechanisms of oxytocin. The findings were further validated using transmission electron microscopy and qPCR.
Results: Intranasal oxytocin administration significantly ameliorated social deficits, repetitive behaviors, and anxiety-like responses in ASD model rats. Transcriptomic profiling revealed substantial neurodevelopmental abnormalities in VPA group. Consistent results from GSEA enrichment analysis, dynamic gene expression pattern analysis and WGCNA showed significant suppression of oligodendrocyte development and differentiation in the VPA group. Pathway analysis indicated that this functional inhibition was associated with the PI3K/AKT signaling pathway. Oxytocin may promote oligodendrocyte development and differentiation by activating the PI3K/AKT pathway, thereby ameliorating social deficits. Further validation by transmission electron microscopy and qPCR confirmed that oxytocin treatment improved myelination deficits in the ASD rat model.
Conclusions: Our findings demonstrate that oxytocin significantly improve social interaction deficits in the VPA-induced autism model, which may be related to its activation of the PI3K/AKT pathway to promote oligodendrocyte development and differentiation.
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http://dx.doi.org/10.3389/fnins.2025.1624932 | DOI Listing |
RNA Biol
September 2025
Department of Stem Cell Biology, School of Medicine, Konkuk University, Seoul, Republic of Korea.
Neural stem cells (NSCs) are multipotent stem cells with self-renewal capacity, able to differentiate into all neural lineages of the central nervous system, including neurons, oligodendrocytes, and astrocytes; thus, their proliferation and differentiation are essential for embryonic neurodevelopment and adult brain homoeostasis. Dysregulation in these processes is implicated in neurological disorders, highlighting the need to elucidate how NSCs proliferate and differentiate to clarify the mechanisms of neurogenesis and uncover potential therapeutic targets. MicroRNAs (miRNAs) are small, post-transcriptional regulators of gene expression involved in many aspects of nervous system development and function.
View Article and Find Full Text PDFNeurochem Res
September 2025
International Translational Neuroscience Research Institute, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
The concept of the central nervous system (CNS) reserve emerged from the mismatch often observed between the extent of brain pathology and its clinical manifestations. The cognitive reserve reflects an "active" capacity, driven by the plasticity of CNS cellular components and shaped by experience, learning, and memory processes that increase resilience. We propose that neuroglial cells are central to defining this resilience and cognitive reserve.
View Article and Find Full Text PDFJ Ethnopharmacol
September 2025
Ethnopharmacological Relevance: Fujian Tablet (FJT), a traditional Chinese herbal compound formulation developed under the theoretical framework of "nourishing the liver and kidney, replenishing essence and marrow" , has been clinically applied for over two decades to treat post-stroke neurological deficits. Preliminary studies demonstrated its efficacy in improving motor function and promoting cervical spinal cord neuroaxonal growth in a middle cerebral artery occlusion (MCAO) rat model. Building upon these findings, this study integrates metabolomic evidence of Foxo3a-GPX4 axis activation to systematically elucidate Fujian Tablet's neurorestorative mechanisms through three interconnected pathways: regulation of ferroptosis, promotion of oligodendrocyte proliferation, and remyelination.
View Article and Find Full Text PDFNeurotoxicology
September 2025
PERITOX Laboratory (UMR_I 01), UPJV/INERIS INERIS, MIV/TEAM, Verneuil-en-Halatte France University of Picardie Jules Verne, CURS, Amiens, France.
Health risks related to 900 MHz 2 G frequency exposure remain inconclusive under current regulatory standards. Research into potential long-term effects is ongoing, particularly as the use of mobile networks and wireless devices increases. This study investigates the effects of non-thermal exposure levels of mobile phone 900 MHz radiofrequency electromagnetic field (RF-EMF) on rodent neurodevelopment.
View Article and Find Full Text PDFNeurology
September 2025
Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.
Background And Objectives: Multiple sclerosis (MS) is common in adults while myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) is rare. Our previous machine-learning algorithm, using clinical variables, ≤6 brain lesions, and no Dawson fingers, achieved 79% accuracy, 78% sensitivity, and 80% specificity in distinguishing MOGAD from MS but lacked validation. The aim of this study was to (1) evaluate the clinical/MRI algorithm for distinguishing MS from MOGAD, (2) develop a deep learning (DL) model, (3) assess the benefit of combining both, and (4) identify key differentiators using probability attention maps (PAMs).
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