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.

Accelerating Medicines Partnership: Rheumatoid Arthritis, Systemic Lupus Erythematosus & Related Autoimmune Disorders

Rheumatoid Arthritis (RA), Systemic Lupus Erythematosus & Related Autoimmune Disorders is an initiative of the Accelerating Medicines Partnership (AMP), which is a multi-sector, pre-competitive  partnership among government, industry, and nonprofit organizations, the goal of which is to harness collective capabilities, scale and resources toward improving current efforts to develop new therapies for complex, heterogeneous diseases.

Biomarkers Consortium - Treatments Against RA and Effect on FDG PET-CT (TARGET Biomarker Study)

The Biomarkers Consortium’s TARGET Biomarker Study seeks to utilize validated proteomic biomarkers of rheumatoid arthritis (RA) disease activity and inflammation to categorize baseline and disease-modifying antirheumatic drug (DMARD)-associated changes in vascular inflammation in RA patients.

Biomarkers Consortium - Sarcopenia as a Valid Biomarker for Identifying Individuals at Risk of Disability

Sarcopenia 2 seeks to establish evidence-based cut-points for muscle mass and strength and determine their predictive validity for clinically meaningful outcomes (such as mobility, fractures, hospitalization and death); evaluate relative strength as a discriminator for mobility limitation and incident disability; and explore the potential usefulness of sarcopenia as a clinical endpoint in randomized clinical trials.

Biomarkers Consortium - Establish Guidelines for Initial Diagnostic Criteria for “Sarcopenia with Clinically Important Weakness” and Associated Evidence for Treatment Benefit

The Sarcopenia 1 project launched in 2010 and aimed to establish the first evidence-based definition of sarcopenia (muscle weakness), which is still not recognized as a medical condition.

Biomarkers Consortium - Osteoarthritis Biomarkers Project

The Biomarkers Consortium - Osteoarthritis Biomarkers Project is a $3.4 million study aimed at determining which biomarkers have greater prognostic ability to measure early progression of structural and symptomatic changes in the joint over time and which are likely to predict treatment response better than the radiographic measurement of narrowing of joint space in knee OA patients. These new biomarkers are candidates for follow-on studies for evaluation and use in regulatory decision-making.

Biomarkers Consortium - Bone Quality Project

The Biomarkers Consortium’s Bone Quality Project aims to evaluate and to identify biomarkers of bone strength and quality changes by analyzing pooled imaging and biochemical data from multiple clinical studies to allow definition of better clinical endpoints.

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.