ArticleBioengineering & translational medicine2018
Multivariate techniques enable a biochemical classification of children with autism spectrum disorder versus typically-developing peers: A comparison and validation study.
Article in Bioengineering & translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Reversal of Autism Symptoms among Dizygotic Twins through a Personalized Lifestyle and Environmental Modification Approach: A Case Report and Review of the Literature.Journal of personalized medicine · 2024Article
- Validation of plasma protein glycation and oxidation biomarkers for the diagnosis of autism.Molecular psychiatry · 2024Article
- Towards the Development of a Diagnostic Test for Autism Spectrum Disorder: Big Data Meets Metabolomics.The Canadian journal of chemical engineering · 2023Article
- The Soluble Folate Receptor in Autism Spectrum Disorder: Relation to Autism Severity and Leucovorin Treatment.Journal of personalized medicine · 2022Article
- Metabolomic Signatures of Autism Spectrum Disorder.Journal of personalized medicine · 2022Article
- Modern Biomarkers for Autism Spectrum Disorder: Future Directions.Molecular diagnosis & therapy · 2022Article
- Multivariate Analysis of Metabolomic and Nutritional Profiles among Children with Autism Spectrum Disorder.Journal of personalized medicine · 2022Article
- Central Nervous System Metabolism in Autism, Epilepsy and Developmental Delays: A Cerebrospinal Fluid Analysis.Metabolites · 2022Article
- A Personalized Multidisciplinary Approach to Evaluating and Treating Autism Spectrum Disorder.Journal of personalized medicine · 2022Review
- Ratings of the Effectiveness of Nutraceuticals for Autism Spectrum Disorders: Results of a National Survey.Journal of personalized medicine · 2021Article
- Metabolic and behavioral features of acute hyperpurinergia and the maternal immune activation mouse model of autism spectrum disorder.PloS one · 2021Article
- Altered metabolism of mothers of young children with Autism Spectrum Disorder: a case control study.BMC pediatrics · 2020Article
- Treatment of Folate Metabolism Abnormalities in Autism Spectrum Disorder.Seminars in pediatric neurology · 2020Review
- Towards a Multivariate Biomarker-Based Diagnosis of Autism Spectrum Disorder: Review and Discussion of Recent Advancements.Seminars in pediatric neurology · 2020Review
- Urinary Essential Elements of Young Children with Autism Spectrum Disorder and their Mothers.Research in autism spectrum disorders · 2020Article
- Emerging biomarkers in autism spectrum disorder: a systematic review.Annals of translational medicine · 2019Review
- Inheritance of HLA-Cw7 Associated With Autism Spectrum Disorder (ASD).Frontiers in psychiatry · 2019Article
- Variations in Mitochondrial Respiration Differ in IL-1ß/IL-10 Ratio Based Subgroups in Autism Spectrum Disorders.Frontiers in psychiatry · 2019Article
- Maternal metabolic profile predicts high or low risk of an autism pregnancy outcome.Research in autism spectrum disorders · 2018Article
- Comparison of Three Clinical Trial Treatments for Autism Spectrum Disorder Through Multivariate Analysis of Changes in Metabolic Profiles and Adaptive Behavior.Frontiers in cellular neuroscience · 2018Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autism spectrum disorder (ASD) is a developmental disorder which is currently only diagnosed through behavioral testing. Impaired folate-dependent one carbon metabolism (FOCM) and transsulfuration (TS) pathways have been implicated in ASD, and recently a study involving multivariate analysis based upon Fisher Discriminant Analysis returned very promising results for predicting an ASD diagnosis. This article takes another step toward the goal of developing a biochemical diagnostic for ASD by comparing five classification algorithms on existing data of FOCM/TS metabolites, and also validating the classification results with new data from an ASD cohort. The comparison results indicate a high sensitivity and specificity for the original data set and up to a 88% correct classification of the ASD cohort at an expected 5% misclassification rate for typically-developing controls. These results form the foundation for the development of a biochemical test for ASD which promises to aid diagnosis of ASD and provide biochemical understanding of the disease, applicable to at least a subset of the ASD population.
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