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The 14-3-3 protein family are molecular chaperones involved in several biological functions and neurological diseases. We previously pinpointed (encoding 14-3-3ζ) as a candidate gene for autism spectrum disorder (ASD) through a whole-exome sequencing study, which identified a frameshift variant within the gene (c.659-660insT, p.L220Ffs*18). Here, we explored the contribution of the seven human 14-3-3 family members in ASD and other psychiatric disorders by investigating the: (i) functional impact of the 14-3-3ζ mutation p.L220Ffs*18 by assessing solubility, target binding and dimerization; (ii) contribution of common risk variants in 14-3-3 genes to ASD and additional psychiatric disorders; (iii) burden of rare variants in ASD and schizophrenia; and iv) 14-3-3 gene expression using ASD and schizophrenia transcriptomic data. We found that the mutant 14-3-3ζ protein had decreased solubility and lost its ability to form heterodimers and bind to its target tyrosine hydroxylase. Gene-based analyses using publicly available datasets revealed that common variants in contribute to schizophrenia ( = 6.6 × 10), whereas ultra-rare variants were found enriched in ASD across the 14-3-3 genes ( = 0.017) and in schizophrenia for (meta- = 0.017). Furthermore, expression of 14-3-3 genes was altered in post-mortem brains of ASD and schizophrenia patients. Our study supports a role for the 14-3-3 family in ASD and schizophrenia.
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http://dx.doi.org/10.3390/jcm9061851 | DOI Listing |
Front Psychiatry
August 2025
Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan.
Introduction: Accurately distinguishing individuals with autism spectrum disorder (ASD) from those with schizophrenia spectrum disorder (SSD) can be challenging, especially in individuals with an at-risk mental state (ARMS) for psychosis. Given the need for objective markers, we focused on mismatch negativity (MMN). This study aimed to determine whether ARMS individuals with ASD traits exhibit different MMN patterns compared to ARMS individuals without such traits and healthy controls.
View Article and Find Full Text PDFArq Neuropsiquiatr
August 2025
Universidade Federal de São Paulo, Escola Paulista de Medicina, Departamento de Neurologia e Neurocirurgia, Unidade de Ataxia, São Paulo SP, Brazil.
Several studies describe a strong association between structural and functional abnormalities of the cerebellum and psychiatric disorders. It is possible to find investigations especially in cases of schizophrenia, bipolar disorder, depression, anxiety disorders, attention-deficit/hyperactivity disorder (ADHD), and autism spectrum disorder (ASD). The involvement of the cerebellum in these conditions is also supported by clinical, functional, and structural imaging studies.
View Article and Find Full Text PDFJ Neurodev Disord
August 2025
Department of Psychology, UC Riverside, Riverside, CA, USA.
Estimating time and making predictions is integral to our experience of the world. Given the importance of timing to most behaviors, disruptions in temporal processing and timed performance are reported in a number of neuropsychiatric disorders such as Schizophrenia, Autism Spectrum Disorder (ASD), Fragile X Syndrome (FXS), and Attention-deficit Hyperactivity Disorder (ADHD). Symptoms that implicitly include disruption in timing are atypical turn-taking during social interactions, unusual verbal intonations, poor reading, speech and language skills, inattention, delays in learning, and difficulties making predictions.
View Article and Find Full Text PDFCureus
August 2025
Medicine, Pontificia Universidad Católica Madre y Maestra, Santiago de los Caballeros, DOM.
The 15q11.2 microdeletion syndrome, also known as Burnside-Butler syndrome (BBS), is a rare genetic disorder involving a deletion in the breakpoint 1 to breakpoint 2 (BP1-BP2) on the long arm of chromosome 15, often associated with growth retardation and delayed speech development. In contrast, rare manifestations consist of dysmorphic traits, seizures, and neurodevelopmental or psychiatric conditions such as epilepsy, autism spectrum disorder (ASD), and schizophrenia.
View Article and Find Full Text PDFAsian J Psychiatr
August 2025
Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China; Shanghai Changning Mental Health Center, Affiliated Mental Health Center of East China No
Deficits in social information processing have been observed in both schizophrenia spectrum disorders (SSD) and autism spectrum disorder (ASD), though the underlying mechanisms may differ. From a predictive coding perspective, such deficits are thought to arise from an overreliance on prior expectations in SSD, whereas individuals with ASD may exhibit difficulties in forming or using such expectations. However, very few studies have investigated the behavioral markers underlying social predictive learning along the ASD-SSD continuum.
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