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Somatic Overgrowth Predisposes to Seizures in Autism Spectrum Disorders
BACKGROUND: Comorbidity of Autism Spectrum Disorders with seizures or abnormal EEG (Autism-Epilepsy Phenotype) suggests shared pathomechanisms, and might be a starting point to identify distinct populations within the clinical complexity of the autistic spectrum. In this study, we tried to assess wh...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3781047/ https://www.ncbi.nlm.nih.gov/pubmed/24086423 http://dx.doi.org/10.1371/journal.pone.0075015 |
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author | Valvo, Giulia Baldini, Sara Brachini, Francesca Apicella, Fabio Cosenza, Angela Ferrari, Anna Rita Guerrini, Renzo Muratori, Filippo Romano, Maria Francesca Santorelli, Filippo M. Tancredi, Raffaella Sicca, Federico |
author_facet | Valvo, Giulia Baldini, Sara Brachini, Francesca Apicella, Fabio Cosenza, Angela Ferrari, Anna Rita Guerrini, Renzo Muratori, Filippo Romano, Maria Francesca Santorelli, Filippo M. Tancredi, Raffaella Sicca, Federico |
author_sort | Valvo, Giulia |
collection | PubMed |
description | BACKGROUND: Comorbidity of Autism Spectrum Disorders with seizures or abnormal EEG (Autism-Epilepsy Phenotype) suggests shared pathomechanisms, and might be a starting point to identify distinct populations within the clinical complexity of the autistic spectrum. In this study, we tried to assess whether distinct subgroups, having distinctive clinical hallmarks, emerge from this comorbid condition. METHODS: Two-hundred and six individuals with idiopathic Autism Spectrum Disorders were subgrouped into three experimental classes depending on the presence of seizures and EEG abnormalities. Neurobehavioral, electroclinical and auxological parameters were investigated to identify differences among groups and features which increase the risk of seizures. Our statistical analyses used ANOVA, post-hoc multiple comparisons, and the Chi-squared test to analyze continuous and categorical variables. A correspondence analysis was also used to decompose significant Chi-squared and reduce variables dimensions. RESULTS: The high percentage of children with seizures (28.2% of our whole cohort) and EEG abnormalities (64.1%) confirmed that the prevalence of epilepsy in Autism Spectrum Disorders exceeds that of the general population. Seizures were associated with severe intellectual disability, and not with autism severity. Interestingly, tall stature (without macrocephaly) was significantly associated with EEG abnormalities or later onset seizures. However, isolated macrocephaly was equally distributed among groups or associated with early onset seizures when accompanied by tall stature. CONCLUSIONS: Tall stature seems to be a phenotypic “biomarker” of susceptibility to EEG abnormalities or late epilepsy in Autism Spectrum Disorders and, when concurring with macrocephaly, predisposes to early onset seizures. Growth pattern might act as an endophenotypic marker in Autism-Epilepsy comorbidity, delineating distinct pathophysiological subtypes and addressing personalized diagnostic work-up and therapeutic approaches. |
format | Online Article Text |
id | pubmed-3781047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-37810472013-10-01 Somatic Overgrowth Predisposes to Seizures in Autism Spectrum Disorders Valvo, Giulia Baldini, Sara Brachini, Francesca Apicella, Fabio Cosenza, Angela Ferrari, Anna Rita Guerrini, Renzo Muratori, Filippo Romano, Maria Francesca Santorelli, Filippo M. Tancredi, Raffaella Sicca, Federico PLoS One Research Article BACKGROUND: Comorbidity of Autism Spectrum Disorders with seizures or abnormal EEG (Autism-Epilepsy Phenotype) suggests shared pathomechanisms, and might be a starting point to identify distinct populations within the clinical complexity of the autistic spectrum. In this study, we tried to assess whether distinct subgroups, having distinctive clinical hallmarks, emerge from this comorbid condition. METHODS: Two-hundred and six individuals with idiopathic Autism Spectrum Disorders were subgrouped into three experimental classes depending on the presence of seizures and EEG abnormalities. Neurobehavioral, electroclinical and auxological parameters were investigated to identify differences among groups and features which increase the risk of seizures. Our statistical analyses used ANOVA, post-hoc multiple comparisons, and the Chi-squared test to analyze continuous and categorical variables. A correspondence analysis was also used to decompose significant Chi-squared and reduce variables dimensions. RESULTS: The high percentage of children with seizures (28.2% of our whole cohort) and EEG abnormalities (64.1%) confirmed that the prevalence of epilepsy in Autism Spectrum Disorders exceeds that of the general population. Seizures were associated with severe intellectual disability, and not with autism severity. Interestingly, tall stature (without macrocephaly) was significantly associated with EEG abnormalities or later onset seizures. However, isolated macrocephaly was equally distributed among groups or associated with early onset seizures when accompanied by tall stature. CONCLUSIONS: Tall stature seems to be a phenotypic “biomarker” of susceptibility to EEG abnormalities or late epilepsy in Autism Spectrum Disorders and, when concurring with macrocephaly, predisposes to early onset seizures. Growth pattern might act as an endophenotypic marker in Autism-Epilepsy comorbidity, delineating distinct pathophysiological subtypes and addressing personalized diagnostic work-up and therapeutic approaches. Public Library of Science 2013-09-23 /pmc/articles/PMC3781047/ /pubmed/24086423 http://dx.doi.org/10.1371/journal.pone.0075015 Text en © 2013 Valvo et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Valvo, Giulia Baldini, Sara Brachini, Francesca Apicella, Fabio Cosenza, Angela Ferrari, Anna Rita Guerrini, Renzo Muratori, Filippo Romano, Maria Francesca Santorelli, Filippo M. Tancredi, Raffaella Sicca, Federico Somatic Overgrowth Predisposes to Seizures in Autism Spectrum Disorders |
title | Somatic Overgrowth Predisposes to Seizures in Autism Spectrum Disorders |
title_full | Somatic Overgrowth Predisposes to Seizures in Autism Spectrum Disorders |
title_fullStr | Somatic Overgrowth Predisposes to Seizures in Autism Spectrum Disorders |
title_full_unstemmed | Somatic Overgrowth Predisposes to Seizures in Autism Spectrum Disorders |
title_short | Somatic Overgrowth Predisposes to Seizures in Autism Spectrum Disorders |
title_sort | somatic overgrowth predisposes to seizures in autism spectrum disorders |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3781047/ https://www.ncbi.nlm.nih.gov/pubmed/24086423 http://dx.doi.org/10.1371/journal.pone.0075015 |
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