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Temporal profiles of plasma proteome during childhood development
Chih-Wei Liu1, Lisa Bramer2, Bobbie-Jo Webb-Robertson2
1Center for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, United States.
This study presents the most comprehensive longitudinal profiling of the human plasma proteome in children, revealing age-dependent protein expression patterns. This resource aids biomarker discovery for pediatric diseases.
Area of Science:
- Biochemistry
- Proteomics
- Pediatrics
Background:
- Human plasma proteome changes with development and disease.
- Limited longitudinal data exists for childhood plasma proteome.
- Age-specific normative values are scarce for many proteins.
Purpose of the Study:
- To longitudinally profile the plasma proteome in healthy children from infancy to adolescence.
- To establish a comprehensive database of pediatric plasma proteome changes.
- To identify age-dependent protein expression patterns for biomarker discovery.
Main Methods:
- Quantitative proteomics using TMT-10plex isobaric labeling.
- LC-MS/MS analysis of plasma samples from 10 children across 9 time points (9 months to 15 years).
- Statistical modeling of longitudinal expression profiles and verification with ELISA.
Main Results:
- Identified 1828 protein groups with high confidence.
- Statistically modeled longitudinal expression profiles for 1747 protein groups, revealing 7 distinct temporal patterns.
- Discovered 970 plasma proteins with significant age-dependent expression trends.
Conclusions:
- Provides the most comprehensive longitudinal pediatric plasma proteome database to date.
- Highlights the critical need for longitudinal data and age-matched samples in pediatric biomarker studies.
- Offers a valuable resource for understanding childhood development and identifying biomarkers for pediatric diseases.
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