The identification of new biomarkers is an increasingly essential element of predictive, preventive and personalized medicine. To meet this need, The Biomarkers Consortium projects serve to develop promising biomarkers in order to help accelerate the delivery of successful new technologies, medicines and therapies for prevention, early detection, diagnosis and treatment of disease.
Working together, the members of the Biomarkers Consortium are building uniquely powerful collaborations that are increasing the development of biomarker-based technologies, medicines and therapies for the prevention, early detection, diagnosis and treatment of disease.
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.
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.
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.
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.
The Biomarkers Consortium’s In Silico Modeling of Biomarkers of Atherosclerosis: Estimating Risk Reduction and Residual Risk From Statin Therapy’s goal is to identify a time-dependent, dynamically-responsive panel of extant markers that change in response to Phase II intervention and predict Phase III clinical cardiovascular outcomes to build the model. This model would support cardiovascular drug development decision-making and assessment of atherosclerotic risk in the development of drugs for other indications.
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.
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.
The Biomarkers Consortium’s Developing Endpoints for Clinical Trials in CABP and Skin Infections aims to develop approaches that will help the U.S. Food and Drug Administration develop efficacy outcome measures (endpoints) for modern-day clinical trials of investigational agents for community-acquired bacterial pneumonia (CABP) and acute bacterial skin and skin structure infections (ABSSSI).
The goal of this project was to conduct a 75-patient study at a total of 15 centers to determine the reproducibility of the non-invasive technique of carotid magnetic resonance imaging (CMRI). Results established a standardized carotid MRI protocol and determined, for the first time, that kinetic parameters of carotid atherosclerotic plaque are reproducible and can be used for multi-center studies.
Build the case for FDA incorporation of FDG-PET into outcome measures for lung cancer and lymphoma.