Dataset Information
A longitudinal ¹H NMR-based urinary metabolomics dataset in a birth cohort for childhood atopic diseases
Ontology highlight
ABSTRACT: This dataset presents longitudinal urinary metabolomic profiles from 198 children at 1 month, 6 months, 1 year, 3 years and 5 years. It includes demographic data, feeding practices, parental atopy, household income and atopic disease status over time. Total and allergen-specific IgE (mite, egg, cow's milk) were measured to track allergic sensitization. Metabolomic data, obtained via ¹H-NMR spectroscopy and normalized for analysis, support investigations into the links between early development, metabolism and atopic disease progression.
INSTRUMENT(S): Nuclear Magnetic Resonance (NMR) -
PROVIDER: MTBLS12785 | MetaboLights | 2025-07-28
REPOSITORIES: MetaboLights
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| 1M_urine-100.zip | Other | |||
| 1M_urine-102.zip | Other | |||
| 1M_urine-103.zip | Other | |||
| 1M_urine-104.zip | Other | |||
| 1M_urine-105.zip | Other |
Items per page: 1 - 5 of 666 |
Publications
Metabolomics Reveals Dynamic Metabolic Changes Associated with Age in Early Childhood.
PloS one 20160225 2
<h4>Objectives</h4>A detailed understanding of the metabolic processes governing rapid growth in early life is still lacking. The aim of this study was to investigate the age-related metabolic changes in healthy children throughout early childhood.<h4>Methods</h4>Healthy children from a birth cohort were enrolled in this study from birth through 4 years of age. Urinary metabolites were assessed at 6 months, and 1, 2, 3, and 4 yr of age by using 1H-nuclear magnetic resonance (NMR) spectroscopy co ...[more]
