In Search of Biomarkers for Autism Spectrum Disorder

Marta Del Valle Rubido, James T. McCracken, Eric Hollander, Frederick Shic, Jana Noeldeke, Lauren Boak, Omar Khwaja, Shamil Sadikhov, Paulo Fontoura, Daniel Umbricht

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Autism Spectrum Disorder (ASD) lacks validated measures of core social functions across development stages suitable for clinical trials. We assessed the concurrent validity between ASD clinical measures and putative biomarkers of core deficits, and their feasibility of implementation in human studies. Datasets from two adult ASD studies were combined (observational study [n = 19] and interventional study baseline data [n = 19]). Potential biomarkers included eye-tracking, olfaction, and auditory and visual emotion recognition assessed via the Affective Speech Recognition test (ASR) and Reading-the-Mind-in-the-Eyes Test (RMET). Current functioning was assessed with intelligence quotient (IQ), adaptive skill testing, and behavioral ratings. Autism severity was determined by the Autism Diagnostic Observation Scale-2 and Social Communication Interaction Test (SCIT). Exploratory measures showed varying significant associations across ASD severity, adaptive skills, and behavior. Eye tracking endpoints showed little relationship to adaptive ability but correlated with severity and behavior. ASR scores significantly correlated with most adaptive behavior domains, as well as severity. Olfaction predicted visual and auditory emotion recognition. SCIT scores related moderately to multiple severity domains, and was the only measure not related with IQ. RMET accuracy was less related to ASD features. Eye tracking, SCIT, and ASR showed high test–retest reliability. We documented associations of proximal biomarkers of social functioning with multiple ASD dimensions. With the exception of SCIT, most correlations were modest, limiting utility as proxy measures of social communication. Feasibility and reliability were high for eye-tracking, ASR, and SCIT. Overall, several novel experimental paradigms showed potential as social biomarkers or surrogate markers in ASD. Autism Research 2018, 11: 1567–1579.

Original languageEnglish (US)
Pages (from-to)1567-1579
Number of pages13
JournalAutism Research
Volume11
Issue number11
DOIs
StatePublished - Nov 1 2018

Fingerprint

Biomarkers
Interpersonal Relations
Communication
Autistic Disorder
Smell
Psychological Adaptation
Intelligence
Reading
Emotions
Aptitude
Proxy
Autism Spectrum Disorder
Observational Studies
Observation
Clinical Trials
Research

Keywords

  • biomarker
  • eye movement
  • olfactory
  • social cognition

ASJC Scopus subject areas

  • Neuroscience(all)
  • Clinical Neurology
  • Genetics(clinical)

Cite this

Del Valle Rubido, M., McCracken, J. T., Hollander, E., Shic, F., Noeldeke, J., Boak, L., ... Umbricht, D. (2018). In Search of Biomarkers for Autism Spectrum Disorder. Autism Research, 11(11), 1567-1579. https://doi.org/10.1002/aur.2026

In Search of Biomarkers for Autism Spectrum Disorder. / Del Valle Rubido, Marta; McCracken, James T.; Hollander, Eric; Shic, Frederick; Noeldeke, Jana; Boak, Lauren; Khwaja, Omar; Sadikhov, Shamil; Fontoura, Paulo; Umbricht, Daniel.

In: Autism Research, Vol. 11, No. 11, 01.11.2018, p. 1567-1579.

Research output: Contribution to journalArticle

Del Valle Rubido, M, McCracken, JT, Hollander, E, Shic, F, Noeldeke, J, Boak, L, Khwaja, O, Sadikhov, S, Fontoura, P & Umbricht, D 2018, 'In Search of Biomarkers for Autism Spectrum Disorder', Autism Research, vol. 11, no. 11, pp. 1567-1579. https://doi.org/10.1002/aur.2026
Del Valle Rubido M, McCracken JT, Hollander E, Shic F, Noeldeke J, Boak L et al. In Search of Biomarkers for Autism Spectrum Disorder. Autism Research. 2018 Nov 1;11(11):1567-1579. https://doi.org/10.1002/aur.2026
Del Valle Rubido, Marta ; McCracken, James T. ; Hollander, Eric ; Shic, Frederick ; Noeldeke, Jana ; Boak, Lauren ; Khwaja, Omar ; Sadikhov, Shamil ; Fontoura, Paulo ; Umbricht, Daniel. / In Search of Biomarkers for Autism Spectrum Disorder. In: Autism Research. 2018 ; Vol. 11, No. 11. pp. 1567-1579.
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