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Updated: Apr 29, 2026

One-step Metabolomics: Carbohydrates, Organic and Amino Acids Quantified in a Single Procedure
Published on: June 25, 2010
Urinary metabolite profiles in premature infants show early postnatal metabolic adaptation and maturation
Sissel J Moltu1, Daniel Sachse2, Elin W Blakstad3
1Department of Pediatrics, Oslo University Hospital, P.O. Box 4950 Nydalen, Oslo 0424, Norway. sissel.moltu@medisin.uio.no.
Insights
Enhanced nutrition in premature infants did not alter urine metabolite profiles significantly. However, specific amino acids and metabolites changed with infant maturation, and elevated glycine and threonine in early urine may indicate altered metabolic phenotypes in small for gestational age infants.
Area of Science:
- Nutritional science
- Metabolomics
- Neonatal research
Background:
- Early nutrition is crucial for metabolic programming and long-term health in infants.
- Premature infants (<1500 g) require specialized nutritional support during hospitalization.
- Understanding metabolic adaptations in preterm infants is essential for optimizing growth and development.
Purpose of the Study:
- To investigate the impact of enhanced neonatal nutrition on urinary metabolite profiles in premature infants.
- To identify potential metabolic biomarkers associated with infant growth and maturation.
- To explore the relationship between early nutrition and metabolic programming in preterm neonates.
Main Methods:
- A randomized controlled trial involving 48 premature infants.
- Comparison of an enhanced diet versus a standard diet.
- Urinary metabolite profiling using nuclear magnetic resonance (NMR) spectroscopy at different time points.
Main Results:
- Enhanced nutrition provided higher energy, protein, lipids, and specific vitamins/fatty acids.
- Urinary metabolite profiles showed significant changes related to postmenstrual age, including increases in glucogenic amino acids and TCA cycle metabolites.
- Elevated glycine and threonine were observed in the first-week urine of small for gestational age (SGA) infants.
Conclusions:
- Nutri-metabolomics in preterm infants reveals metabolic changes influenced by physiological adaptation and maturation.
- Elevated glycine and threonine in early urine samples of SGA infants may serve as potential biomarkers for altered metabolic phenotypes.
- This study highlights the complex interplay between early nutrition, maturation, and metabolism in premature infants.
Objectives:
Early nutrition influences metabolic programming and long-term health. We explored the urinary metabolite profiles of 48 premature infants (birth weight < 1500 g) randomized to an enhanced or a standard diet during neonatal hospitalization.
Methods:
Metabolomics using nuclear magnetic resonance spectroscopy (NMR) was conducted on urine samples obtained during the first week of life and thereafter fortnightly.
Results:
The intervention group received significantly higher amounts of energy, protein, lipids, vitamin A, arachidonic acid and docosahexaenoic acid as compared to the control group. Enhanced nutrition did not appear to affect the urine profiles to an extent exceeding individual variation. However, in all infants the glucogenic amino acids glycine, threonine, hydroxyproline and tyrosine increased substantially during the early postnatal period, along with metabolites of the tricarboxylic acid cycle (succinate, oxoglutarate, fumarate and citrate). The metabolite changes correlated with postmenstrual age. Moreover, we observed elevated threonine and glycine levels in first-week urine samples of the small for gestational age (SGA; birth weight < 10th percentile for gestational age) as compared to the appropriate for gestational age infants.
Conclusion:
This first nutri-metabolomics study in premature infants demonstrates that the physiological adaptation during the fetal-postnatal transition as well as maturation influences metabolism during the breastfeeding period. Elevated glycine and threonine levels were found in the first week urine samples of the SGA infants and emerged as potential biomarkers of an altered metabolic phenotype.
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