We are characterizing the developmental expression and function of drug-metabolizing enzymes, transporters, and receptors across pediatric age groups. These ontogeny data are essential for constructing and refining PBPK and QSP models that improve our ability to predict drug disposition, safety, and efficacy in children.
This project explores inter-individual variability in non-conserved proteins, including understudied enzymes and transporters, and seeks to uncover their regulatory mechanisms. Our goal is to generate data that can be used to improve in vitro-to-in vivo translation of preclinical models, ultimately enhancing drug development and safety assessment in pediatric and adult populations.
We integrate genomic, proteomic, metabolomic, and exposomic data to investigate the molecular basis of variability in drug response, particularly in children. Our multi-omics strategy includes metabolite-genome-wide association studies (mGWAS) and protein quantitative trait loci (pQTL) analyses to identify genetic determinants of drug disposition and response. Using high-resolution mass spectrometry, we are also building a comprehensive human exposome database to facilitate exploring how environmental exposures influence disease risk, developmental processes, and therapeutic outcomes. These efforts are central to advancing pediatric precision medicine.
We are developing and validating cutting-edge, minimally-invasive, and high-throughput mass spectrometry assays for proteomics and metabolomics. These quantitative tools support robust biomarker discovery and therapeutic monitoring, contributing directly to safer, more personalized treatments for children.