Medicine and Health Sciences Commons^™

Prediction Of Electronic Nicotine Delivery Systems Use In Copdgene Using Multi-Omics Biomarkers, Andrew Gregory, Zhonghui Xu, Katherine Pratte, Seth Berman, Noah Lichtblau, Robin Lu, Robert Chase, Jeong Yun, Aabida Saferali, Edwin K. Silverman, Craig P. Hersh, Russell P. Bowler, Adel Boueiz, Peter J. Castaldi

Medical Student Research Symposium

Introduction: Biomarkers may be useful for understanding the toxic effects of vaping. Herein, we identified blood transcriptomic and proteomic biomarkers of vaping, related them to prospective health outcomes, and investigated their ability to accurately distinguish vapers from smokers.

Methods: We grouped 3,892 COPDGene study participants as vapers, current smokers, former smokers, or dual users. We tested for associations with 21,471 blood RNA transcripts and 4,979 plasma proteins. We related the significant biomarkers to 6.5 years of incident health events. To assess the discriminative performance of multi-omics for vaping, we constructed linear discriminant analysis models with cross-validation for RNA …