Metabolomics Study of Urine in Autism Spectrum Disorders Using a Multiplatform Analytical Methodology. - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of Proteome Research Année : 2015

Metabolomics Study of Urine in Autism Spectrum Disorders Using a Multiplatform Analytical Methodology.

Binta Diémé
Sylvie Mavel
Hélène Blasco
Gabriele Tripi
  • Fonction : Auteur
Frédérique Bonnet-Brilhault
Joëlle Malvy
Christian R Andres
  • Fonction : Auteur
Lydie Nadal-Desbarats
Patrick Emond

Résumé

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with no clinical biomarker. The aims of this study were to characterize a metabolic signature of ASD and to evaluate multiplatform analytical methodologies in order to develop predictive tools for diagnosis and disease follow-up. Urine samples were analyzed using (1)H and (1)H-(13)C NMR-based approaches and LC-HRMS-based approaches (ESI+ and ESI- on HILIC and C18 chromatography columns). Data tables obtained from the six analytical modalities on a training set of 46 urine samples (22 autistic children and 24 controls) were processed by multivariate analysis (orthogonal partial least-squares discriminant analysis, OPLS-DA). The predictions from each of these OPLS-DA models were then evaluated using a prediction set of 16 samples (8 autistic children and 8 controls) and receiver operating characteristic curves. Thereafter, a data fusion block-scaling OPLS-DA model was generated from the 6 best models obtained for each modality. This fused OPLS-DA model showed an enhanced performance (R(2)Y(cum) = 0.88, Q(2)(cum) = 0.75) compared to each analytical modality model, as well as a better predictive capacity (AUC = 0.91, p-value = 0.006). Metabolites that are most significantly different between autistic and control children (p < 0.05) are indoxyl sulfate, N-α-acetyl-l-arginine, methyl guanidine, and phenylacetylglutamine. This multimodality approach has the potential to contribute to find robust biomarkers and characterize a metabolic phenotype of the ASD population.
Fichier principal
Vignette du fichier
J Prot Res 2015 proof.pdf (981.49 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-02104565 , version 1 (01-12-2022)

Identifiants

Citer

Binta Diémé, Sylvie Mavel, Hélène Blasco, Gabriele Tripi, Frédérique Bonnet-Brilhault, et al.. Metabolomics Study of Urine in Autism Spectrum Disorders Using a Multiplatform Analytical Methodology.. Journal of Proteome Research, 2015, 14, pp.5273-82. ⟨10.1021/acs.jproteome.5b00699⟩. ⟨hal-02104565⟩
44 Consultations
119 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More