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 - 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.

Biomarkers Consortium - Longitudinal Proteomic Changes in CSF from ADNI: Towards Better Defining the Trajectory of Prodromal and Early Alzheimer’s Disease

The Biomarkers Consortium Longitudinal CSF Proteomics Project addresses the need for tools for early diagnosis and measurement of disease progression in Alzheimer’s disease. This longitudinal study will measure the rate of change of five protein biomarkers within patients from the Alzheimer’s Disease Neuroimaging Initiative Cohort with Mild Cognitive Impairment (MCI), AD and healthy controls, utilizing a multiplexed mass spectrometry-based approach.

Biomarkers Consortium - The Autism Biomarkers Consortium for Clinical Trials (ABC-CT)

The Consortium will establish a technical and data infrastructure for reliably measuring social function, allowing the collaborating sites to work together as a single unit. The goal is to create a set of measures that can be used in clinical trials to determine which treatments are best for which patients and who will benefit from a particular treatment. The ultimate goal is to further develop and validate a set of measures that can be used as stratification biomarkers and/or sensitive and reliable objective measures of social impairment in autism spectrum disorders that could serve as indicative markers of long term clinical outcome.