Stoyan Stoychev

The paper introduces SPEC, a proteomics sample preparation method that improves proteome depth and reproducibility from limited samples.

The paper identifies dysregulated proteins in urine from individuals with albuminuria and preserved GFR, linking them to pathways involved in IGF, immunity, and extracellular matrix organization.

This study identifies proteins and pathways linked to hypertension-associated albuminuria using urinary proteomics and machine learning in a South African cohort.

This paper introduces a novel automated urine sample preparation workflow for clinical proteomics, showing improved efficiency and reproducibility in identifying kidney injury-associated proteins.