Aperçu: G.M.
Les
biomarqueurs promettent des explications biomoléculaires ainsi que des
diagnostics fiables, une stratification et des stratégies de traitement
susceptibles d'aider à atténuer les effets des troubles. Alors
qu'aucun biomarqueur fiable n'a encore été trouvé pour les "troubles du
spectre de l'autisme" (TSA), les acides gras ont été étudiés en tant que
biomarqueurs potentiels en raison de leur association avec le
développement du cerveau et les fonctions neurales. Cependant,
la capacité des acides gras à classifier les individus avec un diagnostic de TSA (dTSA) à
partir de pairs neurotypiques (NEU) appariés selon l'âge / le sexe a été
largement ignorée en faveur de l'étude des différences au niveau de la
population. Contrairement
aux travaux existants, cette tâche de classification entre les cohortes
TSA et NEU est l'objectif principal de ce travail.
Les données présentées ici suggèrent que les acides gras ne permettent pas la classification au niveau individuel.
Biomark Res. 2018 Mar 14;6:12. doi: 10.1186/s40364-018-0125-z. eCollection 2018.
Erythrocyte fatty acid profiles in children are not predictive of autism spectrum disorder status: a case control study
Author information
- 1
- 1Department of Chemical & Biological Engineering, Rensselaer Polytechnic Institute, 110 Eighth Street, Troy, 12180 NY USA.
- 2
- 2Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 Eighth Street, Troy, 12180 NY USA.
- 3
- 5Willerson Center for Cardiovascular Modeling and Simulation, Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, 78712 TX USA.
- 4
- 3School for Engineering of Matter, Transport, and Energy, Arizona State University, PO Box: 876106, Tempe, 85281 AZ USA.
- 5
- 4Department of Biomedical Engineering, Rensselaer Polytechnic Institute, 110 Eighth Street, Troy, 12180 NY USA.
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.
- PMID:29568526
- PMCID:PMC5853097
- DOI:10.1186/s40364-018-0125-z