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.

Journal of Proteomics
|November 29, 2016
PubMed

Insights

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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