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.
Timothy Garvey, Luc Van Gaal, Lawrence A. Leiter, Ujjwala Vijapurkar, James List, Robert Cuddihy, Jimmy Ren, Michael J. DaviesMetabolism. 2018. doi: 10.1016/j.metabol.2018.02.002 Type 2 diabetic patients with increased visceral fat mass and insulin resistance are at a higher risk for cardiovascular disease and premature death. The increased visceral fat impairs adipose tissue function and is the result of combinatorial processes, including increased macrophage recruitment (MCP-1 production), increased inflammatory cytokines (IL-6 and TNF-a secretion), and reduced anti-inflammatory factors (adipokine and adiponectin).
An international team of researchers used Myriad RBM’s Multi-Analyte Profile (MAP) technology to identify a pattern of cardiometabolic biomarkers that appears to predict cardiovascular outcomes in patients with dysglycemia. This data, the latest publication stemming from the landmark Outcome Reduction with Initial Glargine Intervention (ORIGIN) trial, holds great promise for prognosis and treatment of patients suffering from diseases caused by abnormalities in blood glucose levels.Read Article »