Literature DB >> 28840775

Untargeted metabolomic analysis and pathway discovery in perinatal asphyxia and hypoxic-ischaemic encephalopathy.

Niamh M Denihan1,2, Jennifer A Kirwan3, Brian H Walsh4,5, Warwick B Dunn3,6, David I Broadhurst7, Geraldine B Boylan1,2, Deirdre M Murray1,2.   

Abstract

Elucidating metabolic effects of hypoxic-ischaemic encephalopathy (HIE) may reveal early biomarkers of injury and new treatment targets. This study uses untargeted metabolomics to examine early metabolic alterations in a carefully defined neonatal population. Infants with perinatal asphyxia who were resuscitated at birth and recovered (PA group), those who developed HIE (HIE group) and healthy controls were all recruited at birth. Metabolomic analysis of cord blood was performed using direct infusion FT-ICR mass spectrometry. For each reproducibly detected metabolic feature, mean fold differences were calculated HIE vs. controls (ΔHIE) and PA vs. controls (ΔPA). Putative metabolite annotations were assigned and pathway analysis was performed. Twenty-nine putatively annotated metabolic features were significantly different in ΔPA after false discovery correction ( q < 0.05), with eight of these also significantly altered in ΔHIE. Altered putative metabolites included; melatonin, leucine, kynurenine and 3-hydroxydodecanoic acid which differentiated between infant groups (ΔPA and ΔHIE); and D-erythrose-phosphate, acetone, 3-oxotetradecanoic acid and methylglutarylcarnitine which differentiated across severity grades of HIE. Pathway analysis revealed ΔHIE was associated with a 50% and 75% perturbation of tryptophan and pyrimidine metabolism, respectively. We have identified perturbed metabolic pathways and potential biomarkers specific to PA and HIE, which measured at birth, may help direct treatment.

Entities:  

Keywords:  Metabolomics; biomarker; hypoxic-ischaemic encephalopathy; metabolic pathway; perinatal asphyxia

Mesh:

Substances:

Year:  2017        PMID: 28840775      PMCID: PMC6311668          DOI: 10.1177/0271678X17726502

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  69 in total

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Authors:  Brian Fiani; Daniel Chacon; Ryan Jarrah; Michaela Barthelmass; Claudia Covarrubias
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Journal:  Metabolites       Date:  2020-03-14
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