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Published on: June 25, 2010
The Urinary Metabolome of Newborns with Perinatal Complications
Yamilé López-Hernández1, Victoria Lima-Rogel2, Rupasri Mandal3
1Academic Unit of Biological Sciences, Metabolomics and Proteomics Laboratory, CONAHCyT-Autonomous University of Zacatecas, Zacatecas 98000, Mexico.
Insights
Urinary metabolomics reveals significant metabolic differences in critically ill newborns compared to healthy infants. This research provides crucial insights into neonatal health and disease, aiding in early diagnosis and intervention for life-threatening perinatal outcomes.
Area of Science:
- Neonatal Medicine
- Metabolomics
- Biochemistry
Background:
- Maternal health issues and labor complications can cause severe perinatal outcomes.
- Urinary metabolomics offers insights into infant physiological states and metabolic disorders.
- Early detection of metabolic disturbances is critical for neonatal health.
Purpose of the Study:
- To analyze urinary metabolite profiles in healthy and critically ill newborns.
- To establish reference ranges for urinary metabolites in the first 24 hours of life.
- To identify metabolic biomarkers associated with neonatal intensive care unit (NICU) admission and adverse outcomes.
Main Methods:
- Utilized a targeted tandem mass spectrometry (MS/MS) metabolomic assay (TMIC Mega).
- Quantitatively analyzed 180 metabolites and metabolite ratios in urine samples.
- Compared metabolite profiles between 13 healthy newborns and 38 critically ill NICU newborns.
Main Results:
- Determined average urinary concentrations for 167 metabolites in NICU newborns and reference values for healthy infants.
- Reported urinary concentrations and ranges for 37 metabolites for the first time in newborns.
- Identified significant differences in 44 urinary metabolites between healthy and critically ill newborns.
- Observed dysregulation of acylcarnitines, amino acids, biogenic amines, sugars, and organic acids in infants with bronchopulmonary dysplasia, asphyxia, or intrauterine SARS-CoV-2 exposure.
Conclusions:
- Urinary metabolomics is a valuable tool for assessing neonatal metabolic health.
- Metabolic alterations in urine can indicate physiological stress and disease in newborns.
- This study provides essential reference data for understanding neonatal metabolic profiles and identifying at-risk infants.
Abstract:
Maternal pathological conditions such as infections and chronic diseases, along with unexpected events during labor, can lead to life-threatening perinatal outcomes. These outcomes can have irreversible consequences throughout an individual's entire life. Urinary metabolomics can provide valuable insights into early physiological adaptations in healthy newborns, as well as metabolic disturbances in premature infants or infants with birth complications. In the present study, we measured 180 metabolites and metabolite ratios in the urine of 13 healthy (hospital-discharged) and 38 critically ill newborns (admitted to the neonatal intensive care unit (NICU)). We used an in-house-developed targeted tandem mass spectrometry (MS/MS)-based metabolomic assay (TMIC Mega) combining liquid chromatography (LC-MS/MS) and flow injection analysis (FIA-MS/MS) to quantitatively analyze up to 26 classes of compounds. Average urinary concentrations (and ranges) for 167 different metabolites from 38 critically ill NICU newborns during their first 24 h of life were determined. Similar sets of urinary values were determined for the 13 healthy newborns. These reference data have been uploaded to the Human Metabolome Database. Urinary concentrations and ranges of 37 metabolites are reported for the first time for newborns. Significant differences were found in the urinary levels of 44 metabolites between healthy newborns and those admitted at the NICU. Metabolites such as acylcarnitines, amino acids and derivatives, biogenic amines, sugars, and organic acids are dysregulated in newborns with bronchopulmonary dysplasia (BPD), asphyxia, or newborns exposed to SARS-CoV-2 during the intrauterine period. Urine can serve as a valuable source of information for understanding metabolic alterations associated with life-threatening perinatal outcomes.
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