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Development of a Pipeline for Exploratory Metabolic Profiling of Infant Urine.
Jackson, Frances; Georgakopoulou, Nancy; Kaluarachchi, Manuja; Kyriakides, Michael; Andreas, Nicholas; Przysiezna, Natalia; Hyde, Matthew J; Modi, Neena; Nicholson, Jeremy K; Wijeyesekera, Anisha; Holmes, Elaine.
Affiliation
  • Jackson F; Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London , South Kensington Campus, London SW7 2AZ, United Kingdom.
  • Georgakopoulou N; Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London , South Kensington Campus, London SW7 2AZ, United Kingdom.
  • Kaluarachchi M; Metabometrix Ltd, Bioincubator, Prince Consort Road, South Kensington, London SW7 2AZ, United Kingdom.
  • Kyriakides M; Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London , South Kensington Campus, London SW7 2AZ, United Kingdom.
  • Andreas N; Section of Neonatal Medicine, Department of Medicine, Imperial College London , Chelsea and Westminster Hospital Campus, London SW10 9NH, United Kingdom.
  • Przysiezna N; Section of Neonatal Medicine, Department of Medicine, Imperial College London , Chelsea and Westminster Hospital Campus, London SW10 9NH, United Kingdom.
  • Hyde MJ; Section of Neonatal Medicine, Department of Medicine, Imperial College London , Chelsea and Westminster Hospital Campus, London SW10 9NH, United Kingdom.
  • Modi N; Section of Neonatal Medicine, Department of Medicine, Imperial College London , Chelsea and Westminster Hospital Campus, London SW10 9NH, United Kingdom.
  • Nicholson JK; Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London , South Kensington Campus, London SW7 2AZ, United Kingdom.
  • Wijeyesekera A; MRC-NIHR National Phenome Centre, Department of Surgery and Cancer, Imperial College London , Hammersmith Hospital Campus, London W12 0NN, United Kingdom.
  • Holmes E; Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London , South Kensington Campus, London SW7 2AZ, United Kingdom.
J Proteome Res ; 15(9): 3432-40, 2016 09 02.
Article in En | MEDLINE | ID: mdl-27476583
ABSTRACT
Numerous metabolic profiling pipelines have been developed to characterize the composition of human biofluids and tissues, the vast majority of these being for studies in adults. To accommodate limited sample volume and to take into account the compositional differences between adult and infant biofluids, we developed and optimized sample handling and analytical procedures for studying urine from newborns. A robust pipeline for metabolic profiling using NMR spectroscopy was established, encompassing sample collection, preparation, spectroscopic measurement, and computational analysis. Longitudinal samples were collected from five infants from birth until 14 months of age. Methods of extraction and effects of freezing and sample dilution were assessed, and urinary contaminants from breakdown of polymers in a range of diapers and cotton wool balls were identified and compared, including propylene glycol, acrylic acid, and tert-butanol. Finally, assessment of urinary profiles obtained over the first few weeks of life revealed a dramatic change in composition, with concentrations of phenols, amino acids, and betaine altering systematically over the first few months of life. Therefore, neonatal samples require more stringent standardization of experimental design, sample handling, and analysis compared to that of adult samples to accommodate the variability and limited sample volume.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Urine / Metabolomics / Workflow / Urine Specimen Collection Type of study: Prognostic_studies Limits: Humans / Infant / Newborn Language: En Journal: J Proteome Res Journal subject: BIOQUIMICA Year: 2016 Type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Urine / Metabolomics / Workflow / Urine Specimen Collection Type of study: Prognostic_studies Limits: Humans / Infant / Newborn Language: En Journal: J Proteome Res Journal subject: BIOQUIMICA Year: 2016 Type: Article Affiliation country: United kingdom