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A Novel UHPLC-MS Method Targeting Urinary Metabolomic Markers for Autism Spectrum Disorder
D. Olesova, J. Galba, J. Piestansky, H. Celusakova, G. Repiska, K. Babinska, D. Ostatnikova, S. Katina, A. Kovac,
Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články
Grantová podpora
15-0045
Agentúra na Podporu Výskumu a Vývoja
15-0085
Agentúra na Podporu Výskumu a Vývoja
2/0088/18
Ministerstvo skolstva SR
2018/24-SAV-2
Ministrerstvo zdravotnictva SR
CRP/19/016
International Centre for Genetic Engineering and Biotechnology
NLK
Directory of Open Access Journals
od 2011
Free Medical Journals
od 2011
PubMed Central
od 2011
Europe PubMed Central
od 2011
ProQuest Central
od 2011-01-01
Open Access Digital Library
od 2011-01-01
Open Access Digital Library
od 2011-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2011
PubMed
33147863
DOI
10.3390/metabo10110443
Knihovny.cz E-zdroje
- Publikační typ
- časopisecké články MeSH
Autism spectrum disorder is a heterogeneous neurodevelopmental disease. Currently, no biomarker of this disease is known. Diagnosis is performed through observation, standardized behavioral scales, and interviews with parents. In practice, diagnosis is often delayed to the average age of four years or even more which adversely affects a child's perspective. A laboratory method allowing to detect the disorder at earlier stages is of a great need, as this could help the patients to start with treatment at a younger age, even prior to the clinical diagnosis. Recent evidence indicates that metabolomic markers should be considered as diagnostic markers, also serving for further differentiation and characterization of different subgroups of the autism spectrum. In this study, we developed an ultra-high performance liquid chromatography-tandem triple quadrupole mass spectrometry method for the simultaneous determination of six metabolites in human urine. These metabolites, namely methylguanidine, N-acetyl arginine, inosine, indole-3-acetic acid, indoxyl sulfate and xanthurenic acid were selected as potential biomarkers according to prior metabolomic studies. The analysis was carried out by means of reversed-phase liquid chromatography with gradient elution. Separation of the metabolites was performed on a Phenomenex Luna® Omega Polar C18 (100 × 1.0 mm, 1.6 µm) column at a flow rate of 0.15 mL/min with acetonitrile/water 0.1% formic acid aqueous as the mobile phase. The analysis was performed on a group of children with autism spectrum disorder and age-matched controls. In school children, we have detected disturbances in the levels of oxidative stress markers connected to arginine and purine metabolism, namely methylguanidine and N-acetylargine. Also, products of gut bacteria metabolism, namely indoxyl sulfate and indole-3-acetic acid, were found to be elevated in the patients' group. We can conclude that this newly developed method is fast, sensitive, reliable, and well suited for the quantification of proposed markers.
Citace poskytuje Crossref.org
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