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 - Comparison of Two PET Radioligands to Quantify the Peripheral Benzodiazepine Receptor

The Biomarkers Consortium’s PET Radioligand Project, completed in December 2012, developed improved, more sensitive PET radioligands with higher binding to the peripheral benzodiazepine receptor. Findings from this study suggest that the [11C]PBR38 ligand, in particular, may be useful in detecting progression from mild cognitive impairment or treatment response in Alzheimer’s Disease.

Biomarkers Consortium - Clinical Evaluation and Qualification of Translational Kidney Safety Biomarkers

The Biomarkers Consortium’s Kidney Safety Project aims to advance clinical regulatory qualification and broader acceptance of new translational biomarkers that outperform sCr and BUN for monitoring kidney safety to support early clinical drug development.

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 - 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 - 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.

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.