Erythrocyte fatty acid profiles in children are not predictive of autism spectrum disorder status: A case control study

Daniel P. Howsmon, James Adams, Uwe Kruger, Elizabeth Geis, Eva Gehn, Juergen Hahn

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Biomarkers promise biomolecular explanations as well as reliable diagnostics, stratification, and treatment strategies that have the potential to help mitigate the effects of disorders. While no reliable biomarker has yet been found for autism spectrum disorder (ASD), fatty acids have been investigated as potential biomarkers because of their association with brain development and neural functions. However, the ability of fatty acids to classify individuals with ASD from age/gender-matched neurotypical (NEU) peers has largely been ignored in favor of investigating population-level differences. Contrary to existing work, this classification task between ASD and NEU cohorts is the main focus of this work. The data presented herein suggest that fatty acids do not allow for classification at the individual level.

Original languageEnglish (US)
Article number12
JournalBiomarker Research
Volume6
Issue number1
DOIs
StatePublished - Mar 14 2018

Keywords

  • Autism spectrum disorder
  • Diagnostic biomarkers
  • Fatty acids
  • Multivariate statistical analysis

ASJC Scopus subject areas

  • Molecular Medicine
  • Clinical Biochemistry
  • Biochemistry, medical

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