Project 1 focuses on fully-automated ultra high-throughput biodosimetry, made possible by the RABiT-II approach of complete automation of sample preparation and imaging in commercial robotic platforms. Its goals are ?Assay Development?, ?Beyond Simple Exposures?, ?Beyond Model Systems? and ?Optimized Biomarker Integration?, all motivated by the very wide variety of different exposure scenarios and countermeasure needs. Assay Development: The goal here is a major decrease in time-to-result of the high-throughput RABiT-II assays. While throughputs of the micronucleus and dicentric assays in our automated systems are extremely high (>10,000 samples per day), these assays require ~54 hours for cell culture. A 6-hour Premature Chromosome Condensation (PCC) dicentric assay with completely automated sample preparation and imaging in multiwell plates is being developed, and will result in a major reduction in time-to-result. Beyond Simple Exposures: There are a wide variety of different exposure scenarios to which individuals will be exposed after an IND, including mixed neutron+photon exposure, very high dose rate, variable low dose rate and partial body exposure. This CMCR uses unique irradiation facilities for each of these scenarios, and these will be used to assess whether the quantitative high-throughput biomarkers that were developed using photons at intermediate dose rates can reconstruct the dose in these very different scenarios - and also whether the biomarkers can be used to identify these different exposure scenarios. Beyond Model Systems: addresses issues which underlie all radiation biodosimetry / biomarker studies, but have not yet been systematically addressed, either for photons or for neutrons. Radiation biodosimetry is intended to assess in-vivo human exposures, but biodosimetric assay development / testing is typically performed either with ex-vivo irradiated human blood or in-vivo in animals. Thus a major knowledge gap exists regarding the validity of transferring biodosimetry results to in-vivo human exposures. The in-vivo animal ? human extrapolation cannot be directly evaluated, and neither can the human ex-vivo ? in-vivo extrapolation. So the goal here is to separate out and address independently the ex-vivo ? in-vivo issue (in mice and in NHP) and the NHP ? human issue (ex-vivo, humans vs. NHP), both for photons and for neutrons. Optimized Biomarker Integration: The three different biomarker systems investigated in this CMCR program (Project 1: cytogenetics; Project 2: transcriptomics, Project 3: metabolomics) all reflect different balances of capabilities in terms of throughput, time-to-result, signal lifetime, dose reconstruction, exposure scenario identification and individual radiosensitivity prediction. Our common goal is to identify their optimal integrated usage in each of a wide variety of different possible large-scale exposure scenarios. As results emerge from this Project, they will be ?fed? to the Biostatistics Core as input to optimized decision trees to determine which assay, or combination of assays will be most effective in each different radiation event scenario.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
2U19AI067773-16
Application #
9940229
Study Section
Special Emphasis Panel (ZAI1)
Project Start
Project End
Budget Start
2020-08-01
Budget End
2021-07-31
Support Year
16
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Columbia University (N.Y.)
Department
Type
DUNS #
621889815
City
New York
State
NY
Country
United States
Zip Code
10032
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