Other formats:
BibTeX
LaTeX
RIS
@article{1721276,
author = {Olešová, Dominika and Galba, Jaroslav and Piestansky, Juraj and Celusakova, Hana and Repiska, Gabriela and Babinska, Katarina and Ostatnikova, Daniela and Katina, Stanislav and Kovac, Andrej},
article_location = {Basel},
article_number = {11},
doi = {http://dx.doi.org/10.3390/metabo10110443},
keywords = {autism spectrum disorder; liquid chromatography; mass spectrometry; metabolomics; oxidative stress; gut microbiota},
language = {eng},
issn = {2218-1989},
journal = {Metabolites},
title = {A Novel UHPLC-MS Method Targeting Urinary Metabolomic Markers for Autism Spectrum Disorder},
url = {https://doi.org/10.3390/metabo10110443},
volume = {10},
year = {2020}
}
TY - JOUR
ID - 1721276
AU - Olešová, Dominika - Galba, Jaroslav - Piestansky, Juraj - Celusakova, Hana - Repiska, Gabriela - Babinska, Katarina - Ostatnikova, Daniela - Katina, Stanislav - Kovac, Andrej
PY - 2020
TI - A Novel UHPLC-MS Method Targeting Urinary Metabolomic Markers for Autism Spectrum Disorder
JF - Metabolites
VL - 10
IS - 11
SP - 1-12
EP - 1-12
PB - MDPI
SN - 22181989
KW - autism spectrum disorder
KW - liquid chromatography
KW - mass spectrometry
KW - metabolomics
KW - oxidative stress
KW - gut microbiota
UR - https://doi.org/10.3390/metabo10110443
L2 - https://doi.org/10.3390/metabo10110443
N2 - 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(R) Omega Polar C18 (100 x 1.0 mm, 1.6 mu m) 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.
ER -
OLEŠOVÁ, Dominika, Jaroslav GALBA, Juraj PIESTANSKY, Hana CELUSAKOVA, Gabriela REPISKA, Katarina BABINSKA, Daniela OSTATNIKOVA, Stanislav KATINA and Andrej KOVAC. A Novel UHPLC-MS Method Targeting Urinary Metabolomic Markers for Autism Spectrum Disorder. \textit{Metabolites}. Basel: MDPI, 2020, vol.~10, No~11, p.~1-12. ISSN~2218-1989. Available from: https://dx.doi.org/10.3390/metabo10110443.
|
