Cord Blood Metabolite Profiles and Their Association with Autistic Traits in Childhood.
Christin S KaupperSophia M BlaauwendraadCharlotte A M CecilRosa H MulderRomy GaillardRomy GoncalvesIngo BorggraefeBerthold V KoletzkoVincent W V JaddoePublished in: Metabolites (2023)
Autism Spectrum Disorder (ASD) is a diverse neurodevelopmental condition. Gene-environmental interactions in early stages of life might alter metabolic pathways, possibly contributing to ASD pathophysiology. Metabolomics may serve as a tool to identify underlying metabolic mechanisms contributing to ASD phenotype and could help to unravel its complex etiology. In a population-based, prospective cohort study among 783 mother-child pairs, cord blood serum concentrations of amino acids, non-esterified fatty acids, phospholipids, and carnitines were obtained using liquid chromatography coupled with tandem mass spectrometry. Autistic traits were measured at the children's ages of 6 ( n = 716) and 13 ( n = 648) years using the parent-reported Social Responsiveness Scale. Lower cord blood concentrations of SM.C.39.2 and NEFA16:1/16:0 were associated with higher autistic traits among 6-year-old children, adjusted for sex and age at outcome. After more stringent adjustment for confounders, no significant associations of cord blood metabolites and autistic traits at ages 6 and 13 were detected. Differences in lipid metabolism (SM and NEFA) might be involved in ASD-related pathways and are worth further investigation.
Keyphrases
- cord blood
- autism spectrum disorder
- tandem mass spectrometry
- liquid chromatography
- genome wide
- attention deficit hyperactivity disorder
- mass spectrometry
- fatty acid
- ultra high performance liquid chromatography
- intellectual disability
- high performance liquid chromatography
- simultaneous determination
- gas chromatography
- high resolution mass spectrometry
- mental health
- healthcare
- dna methylation
- solid phase extraction
- amino acid
- high resolution
- young adults
- gene expression
- climate change
- working memory
- risk assessment
- early life
- transcription factor