ArticleJournal of the American Academy of Child and Adolescent Psychiatry2012
Blood-based gene expression signatures of infants and toddlers with autism.
Article in Journal of the American Academy of Child and Adolescent Psychiatry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06112093 (Using Repetitive Transcranial Magnetic Stimulation to Manage Headaches and Improve Rehabilitation Outcomes in Mild Traumatic Brain Injury), which is not on this map. Cited by 54 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Using Repetitive Transcranial Magnetic Stimulation to Manage Headaches and Improve Rehabilitation Outcomes in Mild Traumatic Brain Injury: A Longitudinal Study
Who cites it
54 citing papers in PubMed, 4 syntheses or guidelines pooled it, 92 citations in OpenAlex.
- The Potential Use of Peripheral Blood Mononuclear Cells as Biomarkers for Treatment Response and Outcome Prediction in Psychiatry: A Systematic Review.Molecular diagnosis & therapy · 2021Pooled it
- A meta-analysis of two high-risk prospective cohort studies reveals autism-specific transcriptional changes to chromatin, autoimmune, and environmental response genes in umbilical cord blood.Molecular autism · 2019Pooled it
- Blood transcriptomic comparison of individuals with and without autism spectrum disorder: A combined-samples mega-analysis.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017Pooled it
- Evaluation of gene expression classification studies: factors associated with classification performance.PloS one · 2014Pooled it
- The role of machine learning in autism spectrum disorder assessment and management.Pediatric research · 2025Review
- Dysregulated RNA-binding proteins and alternative splicing: Emerging roles in autism spectrum disorder.Molecules and cells · 2025Review
- Should We Continue to Tell Autistic People that Their Brains are Different?Psychological reports · 2025Review
- Transcriptome Study in Sicilian Patients with Autism Spectrum Disorder.Biomedicines · 2024Article
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- BrainGENIE: The Brain Gene Expression and Network Imputation Engine.Translational psychiatry · 2023Article
- Blood RNA Sequencing Indicates UpregulatedInternational journal of molecular sciences · 2022Article
- Sulforaphane improves mitochondrial metabolism in fibroblasts from patients with fragile X-associated tremor and ataxia syndrome.Neurobiology of disease · 2021Article
- Maternal Plasma Metabolic Profile Demarcates a Role for Neuroinflammation in Non-Typical Development of Children.Metabolites · 2021Article
- Expression Changes in Epigenetic Gene Pathways Associated With One-Carbon Nutritional Metabolites in Maternal Blood From Pregnancies Resulting in Autism and Non-Typical Neurodevelopment.Autism research : official journal of the International Society for Autism Research · 2021Article
- An Epigenetically Distinct Subset of Children With Autism Spectrum Disorder Resulting From Differences in Blood Cell Composition.Frontiers in neurology · 2021Article
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- Comprehensive Analysis of RNA-Seq Gene Expression Profiling of Brain Transcriptomes Reveals Novel Genes, Regulators, and Pathways in Autism Spectrum Disorder.Brain sciences · 2020Article
- Phospholipidomics of peripheral blood mononuclear cells (PBMCs): the tricky case of children with autism spectrum disorder (ASD) and their healthy siblings.Analytical and bioanalytical chemistry · 2020Article
- Towards a Multivariate Biomarker-Based Diagnosis of Autism Spectrum Disorder: Review and Discussion of Recent Advancements.Seminars in pediatric neurology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
objectiveAutism spectrum disorders (ASDs) are highly heritable neurodevelopmental disorders that onset clinically during the first years of life. ASD risk biomarkers expressed early in life could significantly impact diagnosis and treatment, but no transcriptome-wide biomarker classifiers derived from fresh blood samples from children with autism have yet emerged.
methodUsing a community-based, prospective, longitudinal method, we identified 60 infants and toddlers at risk for ASDs (autistic disorder and pervasive developmental disorder), 34 at-risk for language delay, 17 at-risk for global developmental delay, and 68 typically developing comparison children. Diagnoses were confirmed via longitudinal follow-up. Each child's mRNA expression profile in peripheral blood mononuclear cells was determined by microarray.
resultsPotential ASD biomarkers were discovered in one-half of the sample and used to build a classifier, with high diagnostic accuracy in the remaining half of the sample.
conclusionsThe mRNA expression abnormalities reliably observed in peripheral blood mononuclear cells, which are safely and easily assayed in infants, offer the first potential peripheral blood-based, early biomarker panel of risk for autism in infants and toddlers. Future work should verify these biomarkers and evaluate whether they may also serve as indirect indices of deviant molecular neural mechanisms in autism.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.