GC-MS-based urine metabolic profiling of autism spectrum disorders. - Archive ouverte HAL Access content directly
Journal Articles Analytical and Bioanalytical Chemistry Year : 2013

GC-MS-based urine metabolic profiling of autism spectrum disorders.

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Frédérique Bonnet-Brilhault
  • Function : Author
  • PersonId : 1003626
Marc Merten
  • Function : Author
  • PersonId : 757966
  • IdRef : 095237127
Pierre Sarda
  • Function : Author

Abstract

Autism spectrum disorders (ASD) are a group of neurodevelopmental disorders resulting from multiple factors. Diagnosis is based on behavioural and developmental signs detected before 3 years of age, and there is no reliable biological marker. The purpose of this study was to evaluate the value of gas chromatography combined with mass spectroscopy (GC-MS) associated with multivariate statistical modeling to capture the global biochemical signature of autistic individuals. GC-MS urinary metabolic profiles of 26 autistic and 24 healthy children were obtained by liq/liq extraction, and were or were not subjected to an oximation step, and then were subjected to a persilylation step. These metabolic profiles were then processed by multivariate analysis, in particular orthogonal partial least-squares discriminant analysis (OPLS-DA, R(2)Y(cum) = 0.97, Q(2)(cum) = 0.88). Discriminating metabolites were identified. The relative concentrations of the succinate and glycolate were higher for autistic than healthy children, whereas those of hippurate, 3-hydroxyphenylacetate, vanillylhydracrylate, 3-hydroxyhippurate, 4-hydroxyphenyl-2-hydroxyacetate, 1H-indole-3-acetate, phosphate, palmitate, stearate, and 3-methyladipate were lower. Eight other metabolites, which were not identified but characterized by a retention time plus a quantifier and its qualifier ion masses, were found to differ between the two groups. Comparison of statistical models leads to the conclusion that the combination of data obtained from both derivatization techniques leads to the model best discriminating between autistic and healthy groups of children.
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Dates and versions

inserm-00908948 , version 1 (23-04-2014)

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Cite

Patrick Emond, Sylvie Mavel, Nacima Aïdoud, Lydie Nadal-Desbarats, Frédéric Montigny, et al.. GC-MS-based urine metabolic profiling of autism spectrum disorders.: GC-MS-based Urine Metabolic Profiling in ASD. Analytical and Bioanalytical Chemistry, 2013, 405 (15), pp.5291-300. ⟨10.1007/s00216-013-6934-x⟩. ⟨inserm-00908948⟩
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