Metabolomics network characterization of resuscitation after normocapnic hypoxia in a newborn piglet model supports the hypothesis that room air is better.
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 (1)H-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.
Neonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, University of Cagliari, 09042 Cagliari, Italy.
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Fanos
Neonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, University of Cagliari, 09042 Cagliari, Italy.
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Noto
National and Kapodistrian University of Athens, Medical School, 10679 Athens, Greece.
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Xanthos
Department of Biomedical Sciences, University of Cagliari, 09042 Cagliari, Italy.
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Lussu
Department of Biomedical Sciences, University of Cagliari, 09042 Cagliari, Italy.
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Murgia
Department of Neurological Sciences, University of Cagliari, 09042 Cagliari, Italy.
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Barberini
Department of Anesthesiology, University of Cagliari, 09042 Cagliari, Italy.
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Finco
Forensic Science Department, Cagliari Teaching Hospital and University, University of Cagliari, 09042 Cagliari, Italy.
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d'Aloja
National and Kapodistrian University of Athens, Medical School, 10679 Athens, Greece.
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Papalois
Department of Obstetrics and Gynecology, Neonatal Division, National and Kapodistrian University of Athens, Medical School, 10679 Athens, Greece.
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Iacovidou
Department of Biomedical Sciences, University of Cagliari, 09042 Cagliari, Italy.
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Atzori
D000388:Air; D000818:Animals; D000831:Animals, Newborn; D019295:Computational Biology; D019992:Databases as Topic; D016002:Discriminant Analysis; D004195:Disease Models, Animal; D006801:Humans; D000860:Hypoxia / Q000378:metabolism*; D016018:Least-Squares Analysis; D055442:Metabolome; D055432:Metabolomics; D010100:Oxygen / Q000494:pharmacology; D025341:Principal Component Analysis; D066244:Proton Magnetic Resonance Spectroscopy; D012151:Resuscitation; D034421:Sus scrofa; D013997:Time Factors
D010100:Oxygen