Identifying hypoxia in a newborn piglet model using urinary NMR metabolomic profiling.

Establishing the severity of hypoxic insult during the delivery of a neonate is key step in the determining the type of therapy administered. While successful therapy is present, current methods for assessing hypoxic injuries in the neonate are limited. Urine Nuclear Magnetic Resonance (NMR) metabol...

Full description

Bibliographic Details
Main Authors: Christopher Skappak, Shana Regush, Po-Yin Cheung, Darryl J Adamko
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3669348?pdf=render
id doaj-3a3f588e4f4541fb88448c47a46c0532
record_format Article
spelling doaj-3a3f588e4f4541fb88448c47a46c05322020-11-24T21:56:57ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0185e6503510.1371/journal.pone.0065035Identifying hypoxia in a newborn piglet model using urinary NMR metabolomic profiling.Christopher SkappakShana RegushPo-Yin CheungDarryl J AdamkoEstablishing the severity of hypoxic insult during the delivery of a neonate is key step in the determining the type of therapy administered. While successful therapy is present, current methods for assessing hypoxic injuries in the neonate are limited. Urine Nuclear Magnetic Resonance (NMR) metabolomics allows for the rapid non-invasive assessment of a multitude breakdown products of physiological processes. In a newborn piglet model of hypoxia, we used NMR spectroscopy to determine the levels of metabolites in urine samples, which were correlated with physiological measurements. Using PLS-DA analysis, we identified 13 urinary metabolites that differentiated hypoxic versus nonhypoxic animals (1-methylnicotinamide, 2-oxoglutarate, alanine, asparagine, betaine, citrate, creatine, fumarate, hippurate, lactate, N-acetylglycine, N-carbamoyl-β-alanine, and valine). Using this metabolomic profile, we then were able to blindly identify hypoxic animals correctly 84% of the time compared to nonhypoxic controls. This was better than using physiologic measures alone. Metabolomic profiling of urine has potential for identifying neonates that have undergone episodes of hypoxia.http://europepmc.org/articles/PMC3669348?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Christopher Skappak
Shana Regush
Po-Yin Cheung
Darryl J Adamko
spellingShingle Christopher Skappak
Shana Regush
Po-Yin Cheung
Darryl J Adamko
Identifying hypoxia in a newborn piglet model using urinary NMR metabolomic profiling.
PLoS ONE
author_facet Christopher Skappak
Shana Regush
Po-Yin Cheung
Darryl J Adamko
author_sort Christopher Skappak
title Identifying hypoxia in a newborn piglet model using urinary NMR metabolomic profiling.
title_short Identifying hypoxia in a newborn piglet model using urinary NMR metabolomic profiling.
title_full Identifying hypoxia in a newborn piglet model using urinary NMR metabolomic profiling.
title_fullStr Identifying hypoxia in a newborn piglet model using urinary NMR metabolomic profiling.
title_full_unstemmed Identifying hypoxia in a newborn piglet model using urinary NMR metabolomic profiling.
title_sort identifying hypoxia in a newborn piglet model using urinary nmr metabolomic profiling.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description Establishing the severity of hypoxic insult during the delivery of a neonate is key step in the determining the type of therapy administered. While successful therapy is present, current methods for assessing hypoxic injuries in the neonate are limited. Urine Nuclear Magnetic Resonance (NMR) metabolomics allows for the rapid non-invasive assessment of a multitude breakdown products of physiological processes. In a newborn piglet model of hypoxia, we used NMR spectroscopy to determine the levels of metabolites in urine samples, which were correlated with physiological measurements. Using PLS-DA analysis, we identified 13 urinary metabolites that differentiated hypoxic versus nonhypoxic animals (1-methylnicotinamide, 2-oxoglutarate, alanine, asparagine, betaine, citrate, creatine, fumarate, hippurate, lactate, N-acetylglycine, N-carbamoyl-β-alanine, and valine). Using this metabolomic profile, we then were able to blindly identify hypoxic animals correctly 84% of the time compared to nonhypoxic controls. This was better than using physiologic measures alone. Metabolomic profiling of urine has potential for identifying neonates that have undergone episodes of hypoxia.
url http://europepmc.org/articles/PMC3669348?pdf=render
work_keys_str_mv AT christopherskappak identifyinghypoxiainanewbornpigletmodelusingurinarynmrmetabolomicprofiling
AT shanaregush identifyinghypoxiainanewbornpigletmodelusingurinarynmrmetabolomicprofiling
AT poyincheung identifyinghypoxiainanewbornpigletmodelusingurinarynmrmetabolomicprofiling
AT darryljadamko identifyinghypoxiainanewbornpigletmodelusingurinarynmrmetabolomicprofiling
_version_ 1725856241761124352