Metabolomics and Communication Skills Development in Children; Evidence from the Ages and Stages Questionnaire

Area of Science:

• Biochemistry
• Developmental Pediatrics
• Neuroscience

Background:

• Autism spectrum disorder (ASD) diagnosis can be challenging in early childhood.
• The Ages and Stages Questionnaire (ASQ) is a common developmental screening tool.
• Identifying early biomarkers for ASD is crucial for timely intervention.

Purpose of the Study:

• To investigate metabolomic profiles for identifying communication delays in young children.
• To discover candidate biomarkers for autism spectrum disorder (ASD).
• To assess the utility of metabolomic profiling for early ASD prediction.

Main Methods:

• Plasma and stool metabolomic profiling was performed on three-year-old children.
• Multivariable regression models identified significant metabolite differences.
• Metabolite data from age one and age three were compared.
• A predictive model for ASD by age 8 was developed using plasma metabolites.

Main Results:

• 15 plasma metabolites differed significantly between children with typical and delayed communication skills.
• Five plasma metabolites, including endocannabinoids, were also dysregulated at age one.
• 11 significant metabolites were identified in stool samples.
• Higher N-formylanthranilic acid levels correlated with better communication scores.
• A predictive model showed high sensitivity (88.9%) and specificity (84.5%) for ASD by age 8.

Conclusions:

• Metabolomic profiling of plasma and stool shows promise for identifying children at risk for communication delays.
• These findings suggest potential early biomarkers for autism spectrum disorder (ASD).
• Metabolomic data may offer insights into the pathobiology of ASD and aid in early diagnosis.