Identification of an age-dependent biomarker signature in children and adolescents with autism spectrum disorders
Publication year
2013Source
Molecular Autism, 4, 1, (2013), pp. 27ISSN
Publication type
Article / Letter to editor

Display more detailsDisplay less details
Organization
Cognitive Neuroscience
Psychiatry
Human Genetics
PI Group Memory & Emotion
Journal title
Molecular Autism
Volume
vol. 4
Issue
iss. 1
Page start
p. 27
Subject
DCN 3: Neuroinformatics; DCN PAC - Perception action and control IGMD 3: Genomic disorders and inherited multi-system disorders; DCN PAC - Perception action and control NCEBP 9 - Mental health; IGMD 3: Genomic disorders and inherited multi-system disorders DCN MP - Plasticity and memory; NCEBP 9: Mental healthAbstract
BACKGROUND: Autism spectrum disorders (ASDs) are neurodevelopmental conditions with symptoms manifesting before the age of 3, generally persisting throughout life and affecting social development and communication. Here, we have investigated changes in protein biomarkers in blood during childhood and adolescent development. METHODS: We carried out a multiplex immunoassay profiling analysis of serum samples from 37 individuals with a diagnosis of ASD and their matched, non-affected siblings, aged between 4 and 18 years, to identify molecular pathways affected over the course of ASDs. RESULTS: This analysis revealed age-dependent differences in the levels of 12 proteins involved in inflammation, growth and hormonal signaling. CONCLUSIONS: These deviations in age-related molecular trajectories provide further insight into the progression and pathophysiology of the disorder and, if replicated, may contribute to better classification of ASD individuals, as well as to improved treatment and prognosis. The results also underline the importance of stratifying and analyzing samples by age, especially in ASD and potentially other developmental disorders.
This item appears in the following Collection(s)
- Academic publications [229134]
- Donders Centre for Cognitive Neuroimaging [3664]
- Electronic publications [111496]
- Faculty of Medical Sciences [87758]
- Open Access publications [80319]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.