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Published on: April 22, 2015
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Metabolomic Profiles in Jamaican Children With and Without Autism Spectrum Disorder
Akram Yazdani1,2, Maureen Samms-Vaughan3, Sepideh Saroukhani1,2
1Division of Clinical and Translational Sciences, Department of Internal Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Journal of Autism and Developmental Disorders
|July 20, 2024
Summary
Autism spectrum disorder (ASD) involves unique metabolic patterns. Researchers identified specific fatty acids and the amino acid sarcosine as potential biomarkers for ASD in children.
Area of Science:
- Neuroscience
- Metabolomics
- Biochemistry
Background:
- Autism spectrum disorder (ASD) is a complex neurodevelopmental condition with poorly understood metabolic links.
- Metabolic perturbations may bridge genetic and environmental factors in ASD etiology.
- Identifying specific metabolite alterations can aid in biomarker discovery for ASD.
Purpose of the Study:
- To conduct a metabolomic case-control study to identify significant metabolite profile alterations in children with ASD compared to typically developing (TD) controls.
- To discover potential metabolic biomarkers for ASD.
- To explore the role of metabolites in ASD etiology.
Main Methods:
- A case-control study involving 200 children with ASD and 200 TD controls (ages 2-8) from Jamaica.
- Targeted metabolomic profiling of plasma samples using liquid chromatography-mass spectrometry.
- Statistical analysis adjusting for age, sex, socioeconomic status, and birth parish.
Main Results:
- Four metabolites showed significant differences between children with ASD and TD controls.
- Three identified metabolites were fatty acids: myristoleic acid, eicosatetraenoic acid, and octadecenoic acid.
- The amino acid sarcosine was significantly associated with ASD.
Conclusions:
- Metabolic profiles differ between children with ASD and TD controls.
- Specific fatty acids and sarcosine may serve as potential biomarkers for ASD.
- Findings suggest avenues for developing targeted metabolic interventions for ASD.

