FOR PARENT AWARD For a long time, the study of Alzheimer?s disease (AD) in humans has been hampered by the fact that absolute AD diagnosis could only be ascertained by assessment of brain pathology upon autopsy. More recently, imaging agents have become available that allow direct imaging of the two hallmarks of AD (amyloid plaques and tau tangles) in living humans. However, these imaging agents are expensive and invasive for use in routine diagnostics. The need for low-cost blood based diagnostic assays has never been greater. C2N Diagnostics has been developing mass spectrometry-based assays that investigate amyloid beta peptides in biofluids since 2007. Recent advances in sample cleanup, purification of amyloid beta, and mass spectrometry instrumentation have made it possible to reliably quantify amyloid beta in human plasma samples. Preliminary data from Dr. Randall Bateman?s laboratory at Washington University shows that the ratio of two amyloid beta peptides in plasma can predict the presence of amyloid plaques in the brain. This technology could revolutionize the field of AD diagnostics, and when presented at the Alzheimer?s Association International Conference in July 2017, this discovery was pronounced as ?by far the biggest news of the meeting? by one of the key opinion leaders in AD clinical research.
The specific aims of this SBIR Fast- Track application are to analytically and clinically validate C2N?s plasma assay for use as a diagnostic test for predicting brain amyloidosis.

Public Health Relevance

C2N is conducting a study in a subset of patients from the IDEAS study. We are collecting plasma samples from subjects that have already had an amyloid PET scan as part of IDEAS. We will gain access to the PET scans and plan to compare our plasma assay results to the PET scans to establish if the plasma test can predict brain amyloid PET. During development of the test we have been in conversations with the FDA. They pointed out that the PET scans in the IDEAS study were all read by local radiologists at more than a hundred sites. To eliminate variability in PET reader assessment of the images, they required that all PET images be re-read and evaluated by a central, trained group of radiologists. This is an additional cost not anticipated by C2N, and we are thus filing this administrative supplement to cover these costs.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
3R44AG059489-03S1
Application #
10013900
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Luo, Yuan
Project Start
2018-05-15
Project End
2021-04-30
Budget Start
2020-05-15
Budget End
2021-04-30
Support Year
3
Fiscal Year
2020
Total Cost
Indirect Cost
Name
C2 Diagnostics, LLC
Department
Type
DUNS #
828289210
City
Saint Louis
State
MO
Country
United States
Zip Code
63108