To tackle the human health challenges that face the world today, the FNIH develops collaborations with top experts from government, industry, academia and the not-for-profit sector and provides a neutral environment where we can work productively toward a common goal.

Biomarkers Consortium - The Performance of Novel Cardiac Biomarkers in the General U.S. Population

The Biomarkers Consortium’s Novel Cardiac Biomarkers in the General US Population (the Cardiac Troponin Project) seeks to define the reference ranges and to generate the epidemiologic basis for the use of several significant novel cardiac and related biomarkers for cardiovascular risk stratification in the general U.S. population. The program will measure a panel of biomarkers in almost 30,000 individuals in a national study. The project will provide key reference data regarding novel biomarkers for cardiovascular risk stratification and inform U.S. clinical and laboratory guidelines.

Biomarkers Consortium - Diabetes Drug Development: Identification and Validation of Markers That Predict Long-Term Beta Cell Function and Mass

This is the first project in a two-stage strategy that seeks to characterize beta cell function for predicting long-term beta cell response to an intervention based on short-term measures. The first stage’s goal is to characterize key methodological issues in the assessment of beta cell function by evaluating Mixed Meal Tolerance (MTT) and Arginine Stimulation Tests against the standard Frequently Sampled Intravenous Glucose Tolerance (FSIGT) Test in a series of clinical studies.

Biomarkers Consortium - Evaluation of the Utility of Adiponectin as a Biomarker for Predicting Glycemic Efficacy

The primary objective of this project was to determine whether a 30kDa adipocyte-secreted protein, adiponectin, has utility as predictive serum biomarker of glycemic control in normal non-diabetic subjects and patients with type 2 diabetes, following treatment with a novel and promising new class of compounds, PPARγ agonists. Results confirmed previous relationships between adiponectin levels and metabolic parameters, and support the robust and predictive utility of adiponectin across the spectrum of glucose tolerance.