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Istituto di scienza dell'alimentazione

Torna all'elenco Contributi in rivista anno 2014

Contributo in rivista

Tipo: Articolo in rivista

Titolo: Use of solid-phase microextraction coupled to gas chromatography-mass spectrometry for determination of urinary volatile organic compounds in autistic children compared with healthy controls

Anno di pubblicazione: 2014

Formato: Cartaceo

Autori: Cozzolino R.; De Magistris L.; Saggese P.; Stocchero M.; Martignetti A.; Di Stasio M.; Malorni A.; Marotta R.; Boscaino F.; Malorni L.

Affiliazioni autori: Institute of Food Science, National Council of Research, via Roma 64, 83100 Avellino, Italy; CIRANAD, Second University of Naples, via Pansini 5, 80131 Naples, Italy; S-IN Soluzioni Informatiche Srl, via Ferrari 14, 36100 Vicenza, Italy; Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, Second University of Naples, Via Vivaldi 43, 81100 Caserta, Italy; Department of Psychiatry, Magna Graecia University of Catanzaro, Via T. Campanella, 88100 Catanzaro, Italy; Department of Experimental Medicine, School of Medicine, Second University of Naples, Via L. De Crecchio 7, 80138 Naples, Italy

Autori CNR:

  • FLORIANA BOSCAINO
  • ROSARIA COZZOLINO
  • MICHELE DI STASIO
  • LIVIA MALORNI

Lingua: inglese

Abstract: Autism spectrum disorders (ASDs) are a group of neurodevelopmental disorders which have a severe life-long effect on behavior and social functioning, and which are associated with metabolic abnormalities. Their diagnosis is on the basis of behavioral and developmental signs usually detected before three years of age, and there is no reliable biological marker. The objective of this study was to establish the volatile urinary metabolomic profiles of 24 autistic children and 21 healthy children (control group) to investigate volatile organic compounds (VOCs) as potential biomarkers for ASDs. Solid-phase microextraction (SPME) using DVB/CAR/PDMS sorbent coupled with gas chromatography-mass spectrometry was used to obtain the metabolomic information patterns. Urine samples were analyzed under both acid and alkaline pH, to profile a range of urinary components with different physicochemical properties. Multivariate statistics techniques were applied to bioanalytical data to visualize clusters of cases and to detect the VOCs able to differentiate autistic patients from healthy children. In particular, orthogonal projections to latent structures discriminant analysis (OPLS-DA) achieved very good separation between autistic and control groups under both acidic and alkaline pH, identifying discriminating metabolites. Among these, 3-methyl- cyclopentanone, 3-methyl-butanal, 2-methyl-butanal, and hexane under acid conditions, and 2-methyl-pyrazine, 2,3-dimethyl-pyrazine, and isoxazolo under alkaline pH had statistically higher levels in urine samples from autistic children than from the control group. Further investigation with a higher number of patients should be performed to outline the metabolic origins of these variables, define a possible association with ASDs, and verify the usefulness of these variables for early-stage diagnosis. [Figure not available: see fulltext.] 2014 Springer-Verlag Berlin Heidelberg.

Lingua abstract: inglese

Pagine da: 4649

Pagine a: 4662

Rivista:

Analytical and bioanalytical chemistry Springer
Paese di pubblicazione: Germania
Lingua: inglese
ISSN: 1618-2650

Numero volume: 406

Numero fascicolo: 19

DOI: 10.1007/s00216-014-7855-z

Indicizzato da: Scopus [2-s2.0-84904513452]

Parole chiave:

  • Autism
  • Orthogonal projections to latent structures discriminant analysis
  • Solid-phase microextraction
  • Urine samples
  • Volatile organic compounds

URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-84904513452&partnerID=q2rCbXpz

Strutture CNR:

Moduli:

Allegati: Use of SPME coupled to GC MS for determination of urinary volatile organic compounds in autistic children compared with healthy controls (application/pdf)

 
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