The goal of this study is to determine if biomarkers can be used to be predictive of renal disease progression in diabetes as a method to enrich clinical trials with patients most at risk. From the SUMMIT (Surrogate Markers for Micro- and Macrovascular Hard Endpoints for Innovative Diabetes Tools) programme, the authors originally identified 207 serum biomarkers that is predictive of renal function decline. From these 207 biomarkers, the authors selected 42 biomarkers using forward selection and least absolute shrinkage and selection operator (LASSO) penalized regression approaches. The 42 biomarkers were split into smaller panels and tested for the ability to predict performance similar to the larger panels.
Aditya A. Joshi, Ryan Davey, Youlan Rao, Kai Shen, Raymond L. Benza, Amresh Raina
Pulmonary arterial hypertension (PAH) is a result of changes in the distal pulmonary vasculature that can lead to progressive debilitating symptoms and often result in death. While smooth muscle cell proliferation, endothelial dysfunction, and vascular inflammation are all believed to play important roles in PAH, but recently, more attention has been focused on inflammation mechanisms. Emerging evidence suggests that there may be circulating factors that can serve as biomarkers to monitor disease progression and treatment response. This study used patients enrolled in two clinical trials that were treated with treprostinil (TRUST-1 and FREEDOM-C2). Plasma was collected at baseline and at 12 or 16 week follow up and analyzed using DiscoveryMAP at Myriad RBM.