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Updated: May 27, 2025

Author Spotlight: Advancing the Analysis of Plasma Extracellular Vesicle Proteome for Cardiovascular Biomarker Studies
Published on: January 31, 2025
Plasma proteome variation and its genetic determinants in children and adolescents
Lili Niu1,2,3, Sara Elizabeth Stinson4, Louise Aas Holm4,5
1Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
Insights
Genetic factors, age, sex, and BMI significantly impact plasma protein levels in children and adolescents. These genetic influences on plasma proteome variation persist into adulthood, aiding in understanding cardiometabolic traits.
Area of Science:
- Genetics
- Proteomics
- Pediatrics
Background:
- Understanding plasma proteome variation in pediatric development is crucial.
- Factors influencing protein levels during childhood and adolescence are not fully understood.
Purpose of the Study:
- To investigate the influence of genetic variants, age, sex, and body mass index on plasma proteome variation in children and adolescents.
- To identify causal genes for cardiometabolic traits using plasma protein quantitative trait loci (pQTLs).
Main Methods:
- Quantitative mass spectrometry-based proteomics on plasma from 2,147 children and adolescents.
- Analysis of protein level associations with genetic variants, age, sex, and BMI.
- Mendelian randomization and colocalization analyses to identify causal genes.
Main Results:
- Identified 1,216 proteins, with 70% associated with age, sex, BMI, or genetic factors.
- Protein quantitative trait loci (pQTLs) regulated one-third of identified proteins.
- Replication in additional pediatric and adult cohorts confirmed genetic effects on plasma protein levels from childhood to adulthood.
- Identified 41 causal genes for 33 cardiometabolic traits.
Conclusions:
- Genetic effects significantly shape plasma proteome variation throughout development, from childhood to adulthood.
- Plasma protein QTLs are valuable for identifying drug targets and understanding cardiometabolic diseases.
Abstract:
Our current understanding of the determinants of plasma proteome variation during pediatric development remains incomplete. Here, we show that genetic variants, age, sex and body mass index significantly influence this variation. Using a streamlined and highly quantitative mass spectrometry-based proteomics workflow, we analyzed plasma from 2,147 children and adolescents, identifying 1,216 proteins after quality control. Notably, the levels of 70% of these were associated with at least one of the aforementioned factors, with protein levels also being predictive. Quantitative trait loci (QTLs) regulated at least one-third of the proteins; between a few percent and up to 30-fold. Together with excellent replication in an additional 1,000 children and 558 adults, this reveals substantial genetic effects on plasma protein levels, persisting from childhood into adulthood. Through Mendelian randomization and colocalization analyses, we identified 41 causal genes for 33 cardiometabolic traits, emphasizing the value of protein QTLs in drug target identification and disease understanding.
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