Programs

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 - Alzheimer's Disease

The Accelerating Medicines Partnership Alzheimer’s Disease Project (AMP-AD) is a precompetitive partnership among government, industry, and nonprofit organizations that focuses on discovering novel, clinically relevant therapeutic targets and on developing biomarkers to help validate existing therapeutic targets. 

Go4Life

Go4Life is a signature public health campaign by the National Institute on Aging (NIA) to encourage older adults to get active and stay active.

Osteoarthritis Initiative

The Osteoarthritis Initiative was a public-private collaboration to improve the efficiency of drug development and clinical trials for the treatment of osteoarthritis, which affects more than 30 million adults in the United States.

Biomarkers Consortium - Inflammatory Markers for Early Detection and Subtyping of Neurodegenerative and Mood Disorders

This project will aim to standardize and validate measurement methods for inflammatory markers associated with Alzheimer’s Disease and/or Major Depressive Disorder to ultimately identify a unique biosignature of disease. The identified biosignature would greatly assist with medication development, patient diagnosing, and patient selection for clinical trials.

Biomarkers Consortium - Use of Targeted Multiplex Proteomic Strategies to Identify CSF-Based Biomarkers in Alzheimer’s Disease

The AD Targeted Cerebrospinal Fluid (CSF) Proteomics Project, completed in Q2Y15, completed an initial validation of a multiplexed panel of known biomarkers, examined BACE levels and enzymatic activity, and set up the initial validation of a mass spectroscopy panel using AD cerebrospinal fluid samples from the Alzheimer’s Disease Neuroimaging Initiative (ADNI).

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 - Placebo Data Analysis Project in Alzheimer’s Disease/Mild Cognitive Impairment Clinical Trials

The Biomarkers Consortium’s Placebo Data Analysis Project in Alzheimer’s Disease/Mild Cognitive Impairment Clinical Trials combined placebo data from large clinical trials provided by multiple pharmaceutical companies to create datasets of 3,000 to 5,000 subjects for Alzheimer’s disease (AD) and mild cognitive impairment (MCI) groups. The goal of the project was to develop better measures of disease progression in terms of outcome measures that have both low variability and are sensitive to change, for use in future clinical trials.