Metabolomics network characterization of resuscitation after normocapnic hypoxia in a newborn piglet model supports the hypothesis that room air is better

Επιστημονική δημοσίευση - Άρθρο Περιοδικού uoadl:3002020 31 Αναγνώσεις

Μονάδα:
Ερευνητικό υλικό ΕΚΠΑ
Τίτλος:
Metabolomics network characterization of resuscitation after normocapnic hypoxia in a newborn piglet model supports the hypothesis that room air is better
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
Perinatal asphyxia is attributed to hypoxia and/or ischemia around the time of birth and may lead to multiorgan dysfunction. Aim of this research article is to investigate whether different metabolomic profiles occurred according to oxygen concentration administered at resuscitation. In order to perform the experiment, forty newborn piglets were subjected to normocapnic hypoxia and reoxygenation and were randomly allocated in 4 groups resuscitated with different oxygen concentrations, 18%, 21%, 40%, and 100%, respectively. Urine metabolic profiles at baseline and at hypoxia were analysed by 1H-NMR spectroscopy and metabolites were also identified by multivariate statistical analysis. Metabolic pathways associations were also built up by ingenuity pathway analysis (IPA). Bioinformatics analysis of metabolites characterized the effect of metabolism in the 4 groups; it showed that the 21% of oxygen is the most "physiological" and appropriate concentration to be used for resuscitation. Our data indicate that resuscitation with 21% of oxygen seems to be optimal in terms of survival, rapidity of resuscitation, and metabolic profile in the present animal model. These findings need to be confirmed with metabolomics in human and, if so, the knowledge of the perinatal asphyxia condition may significantly improve. © 2014 V. Fanos et al.
Έτος δημοσίευσης:
2014
Συγγραφείς:
Fanos, V.
Noto, A.
Xanthos, T.
Lussu, M.
Murgia, F.
Barberini, L.
Finco, G.
D'Aloja, E.
Papalois, A.
Iacovidou, N.
Atzori, L.
Περιοδικό:
BioMed Research International
Εκδότης:
Hindawi Publishing Corporation
Τόμος:
2014
Λέξεις-κλειδιά:
3 hydroxymethyl glutarate; acetoacetic acid; alanine; creatinine; glucose; glutamine; glycine; hippuric acid; lactic acid; malonic acid; oxygen; phenylalanine; pyruvic acid; sarcosine; succinic acid; trimethylamine; unclassified drug; oxygen, ambient air; animal experiment; animal model; article; bioinformatics; controlled study; death; heart arrest; hypothesis; hypoxia; male; metabolism; metabolite; metabolomics; newborn; nonhuman; normocapnic hypoxia; oxygen concentration; perinatal asphyxia; piglet; proton nuclear magnetic resonance; reoxygenation; resuscitation; statistical analysis; survival; urinalysis; air; animal; anoxia; biology; data base; discriminant analysis; disease model; human; metabolism; metabolome; pig; principal component analysis; regression analysis; time, Air; Animals; Animals, Newborn; Anoxia; Computational Biology; Databases as Topic; Discriminant Analysis; Disease Models, Animal; Humans; Least-Squares Analysis; Metabolome; Metabolomics; Oxygen; Principal Component Analysis; Proton Magnetic Resonance Spectroscopy; Resuscitation; Sus scrofa; Time Factors
Επίσημο URL (Εκδότης):
DOI:
10.1155/2014/731620
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