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Related Concept Videos

Autism Spectrum Disorder01:19

Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.

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Parsing Autism Heterogeneity: Transcriptomic Subgrouping of Imaging-Derived Phenotypes in Autism.

Johanna Leyhausen1, Caroline Gurr2, Lisa M Berg1

  • 1Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany; Department of Biosciences, Goethe University Frankfurt, Frankfurt am Main, Germany.

Biological Psychiatry. Cognitive Neuroscience and Neuroimaging
|July 12, 2025
PubMed
Summary

Researchers identified three autism subgroups by linking brain imaging and gene expression, revealing distinct clinical differences. This approach helps understand autism

Keywords:
Autism spectrum disorderBrain structureImaging transcriptomicsNeuroimagingStratificationStructural MRI1

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Area of Science:

  • Neuroscience
  • Genetics
  • Autism Research

Background:

  • Autism Spectrum Disorder (ASD) is characterized by significant heterogeneity in both mechanisms and observable traits.
  • Understanding this heterogeneity is crucial for developing targeted interventions and personalized support for autistic individuals.
  • Previous research has lacked a unified approach to link phenotypic diversity with underlying molecular differences in autism.

Purpose of the Study:

  • To identify distinct subgroups within the autistic population by integrating neuroanatomical and molecular data.
  • To investigate the convergence of phenotypic and molecular characteristics across different autism subgroups.
  • To establish an analytical framework for connecting neurodevelopmental variations to molecular underpinnings in autism.

Main Methods:

  • Utilized an imaging-transcriptomics approach to correlate neuroanatomical phenotypes with whole-brain gene expression.
  • Analyzed neuroimaging and clinical data from 359 autistic participants (aged 6-30 years) from the EU-AIMS Longitudinal European Autism Project.
  • Employed data-driven clustering to stratify individuals based on correlations between brain phenotypes and transcriptomic profiles, followed by subgroup characterization.

Main Results:

  • Identified three distinct subgroups of autistic individuals based on imaging-transcriptomic correlations, each exhibiting unique clinical phenotypes.
  • Individuals with stronger transcriptomic associations to imaging phenotypes displayed lower autism symptom severity.
  • Subgroup-specific gene sets were enriched for genes previously linked to autism etiology, including synaptic transmission and neuronal communication pathways.

Conclusions:

  • Autistic individuals can be classified into subgroups based on transcriptomic signatures linked to their neuroanatomical characteristics.
  • These subgroups demonstrate significant differences in clinical measures, underscoring the heterogeneity of autism.
  • The study provides a framework for linking autism's neurodevelopmental and clinical diversity to molecular mechanisms, supporting personalized support strategies.