STUDY SUMMARY/ABSTRACT: The cardiovascular research community has established strong correlations between the plasma concentrations of atherogenic apoB-containing lipoproteins (apoB-Lps) and the clinical risk of cardiovascular disease (CVD). More detailed analyses are now uncovering additional predictors of risk for CVD within these particles (e.g., the content of apoC3 and ceramides). The goal of this study is to incorporate bioinformatics/ biostatistics analytic approaches on novel lipidomic and proteomic targets to draw correlations to cardiometabolic markers. Samples from the parent grant provide internal data sources and analytes for data curation and analysis, specifically non-parametric modeling, and Spearman partial correlation. The use of a robust measurement tool for novel lipidomic and proteomic metrics presents promising outcomes for translational research. In the realm of population health, the understanding of confounding through frequency counts will help in accounting for spurious associations for obesity pharmacotherapy in New York sampled bariatric surgery populations. Additionally, these relationships can be properly conditioned after being identified. For aim 1, persistent significance and network analysis will be included. For aim 2, a parametric approach will be taken with significance testing and an alpha of 0.05. Regular communication with C2 core members and monthly PPG meetings will be attended to keep track of progression.