Out today in Nature Genetics: Using MS-based proteomics, we mapped 1,200+ plasma proteins in 2,100+ children, showing how genetics & development shape blood protein levels during childhood. nature.com/articles/s41588-025-02089-2 #PediatricProteomics #pQTL First author @liliniu.bsky.social explains ⬇️ - ThreadSky

mannlab.bsky.social • 10 days ago

Out today in Nature Genetics: Using MS-based proteomics, we mapped 1,200+ plasma proteins in 2,100+ children, showing how genetics & development shape blood protein levels during childhood.
https://nature.com/articles/s41588-025-02089-2
#PediatricProteomics #pQTL
First author @liliniu.bsky.social explains ⬇️

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mannlab.bsky.social•10 days ago

0/ Despite advances in plasma proteomics, our understanding of plasma proteome variation and its determinants during pediatric development remains incomplete.

mannlab.bsky.social•10 days ago

1/ Leveraging the recently introduced Orbitrap-Astral mass spectrometer, we measured the plasma proteomes of >3,000 individuals aged 5-20 in the HOLBAEK Study, quantifying >1,000 proteins per sample at 60 SPD throughput.

mannlab.bsky.social•10 days ago

2/ We used multiple linear regression to assess the impact of age, sex, and BMI-SDS on the plasma proteome, finding 58% of the proteins associated with at least one factor according to the data and our modeling. Plasma proteins in turn also predicted age and BMI.

mannlab.bsky.social•10 days ago

3/ We highlight intriguing protein abundance trajectories through puberty, including sex hormone-related differences and key bone development proteins linked to growth plate closure during skeletal maturation, reflecting the sex differences in onset of puberty.

mannlab.bsky.social•10 days ago

4/ We tested 5.2 million SNPs for effects on plasma protein levels, leveraging peptide-level information to classify pQTLs by confidence and remove “epitope effect” artifacts. We also examined how technical factors such as CV and protein properties influence pQTL detection.

mannlab.bsky.social•10 days ago

5/ Plasma protein levels are influenced by various factors, but the degree varies from protein to protein. Through variance decomposition we found that some proteins are mainly influenced by genetic variants, while others are shaped by factors like age and obesity.

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