Peer-Reviewed Journal Details
Mandatory Fields
Reinke, SN,Walsh, BH,Boylan, GB,Sykes, BD,Kenny, LC,Murray, DM,Broadhurst, DI
2013
September
Journal of proteome research
H-1 NMR Derived Metabolomic Profile of Neonatal Asphyxia in Umbilical Cord Serum: Implications for Hypoxic Ischemic Encephalopathy
Validated
Optional Fields
asphyxia hypoxic ischemic encephalopathy nuclear magnetic resonance cord serum metabolomics succinate ketone 3-hydroxybutryate TRAUMATIC BRAIN-INJURY KETOGENIC DIET PERINATAL ASPHYXIA ADAPTATION EEG HYPOTHERMIA DISCOVERY OXIDATION INFANTS MODEL
12
4230
4239
Neonatal hypoxic ischemic encephalopathy (HIE) is a severe consequence of perinatal asphyxia (PA) that can result in life-long neurological disability. Disease mechanisms, including the role and interaction of individual metabolic pathways, remain unclear. As hypoxia is an acute condition, aerobic energy metabolism is central to global metabolic pathways, and these metabolites are detectable using H-1 NMR spectroscopy, we hypothesized that characterizing the NMR-derived umbilical cord serum metabolome would offer insight into the consequences of PA that lead to HIE. Fifty-nine at-risk infants were enrolled, together with 1:1 matched healthy controls, and stratified by disease severity (n = 25, HIE; n = 34, non HIE PA). Eighteen of 37 reproducibly detectable metabolites were significantly altered between study groups. Acetone, 3-hydroxybutyrate, succinate, and glycerol were significantly differentially altered in severe HIE. Multivariate data analysis revealed a metabolite profile associated with both asphyxia and HIE. Multiple-linear regression modeling using 4 metabolites (3-hydroxybutyrate, glycerol, O-phosphocholine, and succinate) predicted HIE severity with an adjusted R-2 of 0.4. Altered ketones. suggest that systemic metabolism may play a critical role in preventing neurological injury, while altered succinate provides a possible explanation for hypoxia-inducible factor 1-alpha (HIF-1 alpha) stabilization in HI injury.
10.1021/pr400617m
Grant Details