Artikel ; Online: Modeling idiopathic autism in forebrain organoids reveals an imbalance of excitatory cortical neuron subtypes during early neurogenesis.
2023 Band 26, Heft 9, Seite(n) 1505–1515
Abstract: Idiopathic autism spectrum disorder (ASD) is highly heterogeneous, and it remains unclear how convergent biological processes in affected individuals may give rise to symptoms. Here, using cortical organoids and single-cell transcriptomics, we modeled ... ...
Abstract | Idiopathic autism spectrum disorder (ASD) is highly heterogeneous, and it remains unclear how convergent biological processes in affected individuals may give rise to symptoms. Here, using cortical organoids and single-cell transcriptomics, we modeled alterations in the forebrain development between boys with idiopathic ASD and their unaffected fathers in 13 families. Transcriptomic changes suggest that ASD pathogenesis in macrocephalic and normocephalic probands involves an opposite disruption of the balance between excitatory neurons of the dorsal cortical plate and other lineages such as early-generated neurons from the putative preplate. The imbalance stemmed from divergent expression of transcription factors driving cell fate during early cortical development. While we did not find genomic variants in probands that explained the observed transcriptomic alterations, a significant overlap between altered transcripts and reported ASD risk genes affected by rare variants suggests a degree of gene convergence between rare forms of ASD and the developmental transcriptome in idiopathic ASD. |
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Mesh-Begriff(e) | Male ; Humans ; Autistic Disorder/genetics ; Autism Spectrum Disorder/pathology ; Neurons/metabolism ; Neurogenesis ; Prosencephalon/metabolism ; Organoids/metabolism |
Sprache | Englisch |
Erscheinungsdatum | 2023-08-10 |
Erscheinungsland | United States |
Dokumenttyp | Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't |
ZDB-ID | 1420596-8 |
ISSN | 1546-1726 ; 1097-6256 |
ISSN (online) | 1546-1726 |
ISSN | 1097-6256 |
DOI | 10.1038/s41593-023-01399-0 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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