Amy Wilcock1, Paul Begley2,3, Adam Stevens4,5, Andrew Whatmore4,5, Suresh Victor4,5,6. 1. a Faculty of Medical and Human Sciences , University of Manchester , Manchester , UK . 2. b Faculty of Medical and Human Sciences , Centre for Endocrinology and Diabetes, Institute of Human Development, The University of Manchester , Manchester , UK . 3. c Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre , Manchester , UK . 4. d Faculty of Medical and Human Sciences , Centre for Paediatrics and Child Health, Institute of Human Development, University of Manchester , Manchester , UK . 5. e Manchester Academic Health Sciences Centre (MAHSC), Central Manchester University Hospitals NHS Foundation Trust , Manchester , UK , and. 6. f Neonatology Center of Excellence, Sidra Medical and Research Center , Doha , Qatar.
Abstract
OBJECTIVE: No single diagnostic investigation is currently available for necrotising enterocolitis (NEC). We implemented a novel, untargeted, exploratory study to determine whether metabolomics can reveal early biomarker(s) of NEC. The effect of gestational age on the metabolome was also investigated. METHODS: Two serum samples were obtained from 12 preterm babies (born <30 weeks gestation) and eight term controls: sample "A" at ≤1 week of age and sample "B" once fully fed. Samples were subjected to gas chromatography-mass spectrometry. Metabolomic data was analysed by principal component analysis (PCA), univariate and network analysis. RESULTS: Sixteen metabolite features significantly differed when B samples were compared between preterm babies who subsequently developed NEC and preterm/term controls (p value <0.05). Of these seven metabolites were linked to up-regulation of IL-1β. Significant differences in 54 metabolite features (p value <0.05) were observed between preterm and term metabolomes. Of these, 12 metabolite features were linked to one network involved in carbohydrate/lipid metabolism (p = 1 × 10(-30)). CONCLUSIONS: Metabolomic differences were observed in preterm babies at risk of NEC. However, sample sizes were insufficient to confidently identify a biomarker. Network modelling of preterm and term metabolomes suggest possible nutritional deficiency and altered pro-insulin action in preterm babies.
OBJECTIVE: No single diagnostic investigation is currently available for necrotising enterocolitis (NEC). We implemented a novel, untargeted, exploratory study to determine whether metabolomics can reveal early biomarker(s) of NEC. The effect of gestational age on the metabolome was also investigated. METHODS: Two serum samples were obtained from 12 preterm babies (born <30 weeks gestation) and eight term controls: sample "A" at ≤1 week of age and sample "B" once fully fed. Samples were subjected to gas chromatography-mass spectrometry. Metabolomic data was analysed by principal component analysis (PCA), univariate and network analysis. RESULTS: Sixteen metabolite features significantly differed when B samples were compared between preterm babies who subsequently developed NEC and preterm/term controls (p value <0.05). Of these seven metabolites were linked to up-regulation of IL-1β. Significant differences in 54 metabolite features (p value <0.05) were observed between preterm and term metabolomes. Of these, 12 metabolite features were linked to one network involved in carbohydrate/lipid metabolism (p = 1 × 10(-30)). CONCLUSIONS: Metabolomic differences were observed in preterm babies at risk of NEC. However, sample sizes were insufficient to confidently identify a biomarker. Network modelling of preterm and term metabolomes suggest possible nutritional deficiency and altered pro-insulin action in preterm babies.
Entities:
Keywords:
Biomarker; metabolomics; necrotising enterocolitis; preterm; term
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