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Beyond Targeted Newborn Screening: A Nontargeted Metabolomics Workflow to Investigate Birthweight-Metabolome
Carter K Asef1, Samuel G Moore2, Charles Austin Pickens3
1School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
This study introduces a new high-resolution metabolomics workflow for newborn screening, enhancing biomarker discovery and improving accuracy for inborn errors of metabolism.
Area of Science:
- Biochemistry
- Metabolomics
- Public Health
Background:
- Newborn screening (NBS) uses mass spectrometry but has limited biomarker scope.
- Current methods struggle with overlapping biomarkers between healthy and diseased infants.
Purpose of the Study:
- Develop a robust, nontargeted liquid chromatography-mass spectrometry (LC-MS) workflow for dried bloodspot (DBS) analysis.
- Expand metabolite profiling for improved newborn screening and biomarker discovery.
Main Methods:
- Nontargeted LC-MS analysis of 810 newborn DBS samples.
- Utilized HILIC chromatography for broad metabolite coverage, including amino acids, acylcarnitines, and lipids.
- Correlated metabolite levels with birthweight and identified novel biomarkers.
Main Results:
- Identified correlations to improve accuracy of existing NBS markers like isovalerylcarnitine.
- Discovered new metabolic phenotypes related to parenteral nutrition and maternal nicotine exposure.
- Found N-acetyltyrosine and N-acetylputrescine as valuable biomarkers for specific newborn conditions.
Conclusions:
- The developed LC-MS workflow enhances NBS capabilities by profiling thousands of metabolites.
- Identified novel biomarkers that can improve diagnostic accuracy and account for variability in newborn populations.
- This approach supports the discovery of new biomarkers for improved preventative public health initiatives.
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