The abnormal regulation of gene expression in autistic brain tissue.
A 2001 wish list for gene-hunting in autism brains has since grown into large data sets, yet no blood test has beaten behavioral assessment.
01Research in Context
What this study did
Meuret et al. (2001) wrote a roadmap paper. They asked: what if we scan brain tissue from people with autism for gene activity?
The authors sketched how labs could hunt for tell-tale RNA patterns. These patterns might act as biomarkers or point to new drug targets.
No lab work was done. The paper is a blueprint for future gene-expression studies.
What they found
The team did not collect new data. Instead they listed steps: collect post-mortem brain samples, run microarrays, compare autism vs. control.
They predicted that consistent gene signatures would emerge once enough brains were tested.
How this fits with other research
Ch'ng et al. (2015) ran the exact mega-analysis E et al. imagined. Pooling over 1,000 brain arrays, they found a shared signature rich in mitochondrial genes.
Huang et al. (2019) added a second layer. They blended genome-wide association with patient mRNA data and pinned down five high-confidence ASD genes.
Hu et al. (2017) moved the spotlight from mRNA to microRNA. The biomarker goal stayed the same, but the molecule got smaller.
Wang et al. (2025) poured cold water on hype. Their review warns that no gene marker is ready to replace behavioral diagnosis.
Why it matters
For BCBAs, this paper is background noise, not a treatment guide. It reminds you that biology labs are searching for objective tags of autism. Until those tags prove useful, your eyes and data sheets remain the gold standard. Keep measuring behavior; let the pipettes chase genes.
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02At a glance
03Original abstract
Autism is a pervasive developmental disorder of unknown etiology. It is likely caused by mutations in one or more genes. One approach to understanding the molecular changes that occur in autism is to measure gene expression in post-mortem brain samples from individuals diagnosed with autism. This may be accomplished with techniques such as cDNA microarrays or subtractive hybridization. In general, gene expression is regulated as a function of body region, developmental time, and physiological state. A premise of the approaches we describe is that gene expression is regulated in cells from autistic individuals as a consequence of the disease process. It may be useful to detect such changes in order to identify selective biological markers for autism. Additionally, the abnormal regulation of gene expression may reveal cellular pathways that have been disrupted, suggesting strategies for therapeutic intervention.
Journal of autism and developmental disorders, 2001 · doi:10.1023/a:1013290826504