Project 1. Rapid Automated High-Throughput Radiation Biodosimetry is critical in the context of an Improvised Nuclear Device (IND) or a Radiological Dispersal Device (RDD) event, both for early, dose-based, triage and potentially to predict which exposed individuals are likely to suffer long term illness. The Project 1 rationale is full end-to-end automation - the RABiT (Rapid Automated Biodosimetry Tool) approach - to speed up and improve the precision and accuracy of biodosimetric assays. The proposed research in Project 1 shares the same overall research themes as Project 2 (transcriptomics) and Project 3 (metabolomics): Theme 1: Beyond Simple Dose: Most research in the radiation biodosimetry field has focused on acute external photon irradiation. While this is the simplest exposure case to consider, the potential types of exposure, whether from an IND or a RDD, will vary widely, important factors being A) internal emitter exposures, B) dose protraction, and C) neutron exposure associated with an IND. The goal is to assess how different exposure scenarios modulate the response of radiation biodosimetric markers, and to investigate biomarkers that have specificity for these different exposure scenarios. These factors provide significant opportunities to extend the utility of biodosimetric assays, as well as to understand their mechanistic basis, in what will undoubtedly be very complex radiation fields. Theme 2: Beyond Dose: Towards Individual Radiosensitivity. The goal here is investigation of high- throughput functional assays to predict individual sensitivity to radiation-induced late-occurring injury, in this case pneumonitis. These studies will focus on pneumonitis in non-small cell lung cancer radiotherapy patients, with the goal of correlating this outcome with DNA-damage endpoints measured with the RABiT in ex-vivo irradiated blood samples. Should a significant correlation be found with one of the functional RABiT assay results, this would represent a potential high-throughput screening tool to identify individuals at highest risk of radiation-induced lung disease in a post-IND scenario. Theme 3: Technology Development: Towards Shorter, Faster, Simpler High Throughput Assays: The RABiT is a custom robotically-based fully-automated system specifically tailored for cell-based biodosimetry assays in multi-well plates; since it was developed, commercial robotic high-throughput multipurpose cellular screening platforms have become quite ubiquitous in universities, industry, and clinical testing labs. Thus the goal is to adapt and optimize the RABiT approach / protocols so that they can be used on this new generation of commercial robotic platforms - the RABiT2 approach. To further increase speed, throughput and reliability, the goal is to optimize the assay protocols in terms of accelerated assay time, simplified protocols, simplified image analysis and a shorter time-to-answer, as well as developing new cellular biodosimetric assays that do not require cell culture.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
2U19AI067773-11
Application #
8942469
Study Section
Special Emphasis Panel (ZAI1-PA-I (M2))
Project Start
Project End
Budget Start
2015-08-01
Budget End
2016-07-31
Support Year
11
Fiscal Year
2015
Total Cost
$552,738
Indirect Cost
$110,234
Name
Columbia University (N.Y.)
Department
Type
DUNS #
621889815
City
New York
State
NY
Country
United States
Zip Code
10032
Rudqvist, Nils; Laiakis, Evagelia C; Ghandhi, Shanaz A et al. (2018) Global Gene Expression Response in Mouse Models of DNA Repair Deficiency after Gamma Irradiation. Radiat Res 189:337-344
Suresh Kumar, M A; Laiakis, Evagelia C; Ghandhi, Shanaz A et al. (2018) Gene Expression in Parp1 Deficient Mice Exposed to a Median Lethal Dose of Gamma Rays. Radiat Res 190:53-62
Zheng, Zhihong; Fan, Shengjun; Zheng, Jing et al. (2018) Inhibition of thioredoxin activates mitophagy and overcomes adaptive bortezomib resistance in multiple myeloma. J Hematol Oncol 11:29
Beach, Tyler A; Groves, Angela M; Johnston, Carl J et al. (2018) Recurrent DNA damage is associated with persistent injury in progressive radiation-induced pulmonary fibrosis. Int J Radiat Biol 94:1104-1115
Ghandhi, Shanaz A; Turner, Helen C; Shuryak, Igor et al. (2018) Whole thorax irradiation of non-human primates induces persistent nuclear damage and gene expression changes in peripheral blood cells. PLoS One 13:e0191402
Broustas, Constantinos G; Harken, Andrew D; Garty, Guy et al. (2018) Identification of differentially expressed genes and pathways in mice exposed to mixed field neutron/photon radiation. BMC Genomics 19:504
Chen, Zhidan; Coy, Stephen L; Pannkuk, Evan L et al. (2018) Differential Mobility Spectrometry-Mass Spectrometry (DMS-MS) in Radiation Biodosimetry: Rapid and High-Throughput Quantitation of Multiple Radiation Biomarkers in Nonhuman Primate Urine. J Am Soc Mass Spectrom 29:1650-1664
Bellare, Anuj; Epperly, Michael W; Greenberger, Joel S et al. (2018) Development of tensile strength methodology for murine skin wound healing. MethodsX 5:337-344
Moquet, Jayne; Higueras, Manuel; Donovan, Ellen et al. (2018) Dicentric Dose Estimates for Patients Undergoing Radiotherapy in the RTGene Study to Assess Blood Dosimetric Models and the New Bayesian Method for Gradient Exposure. Radiat Res :
Cruz-Garcia, Lourdes; O'Brien, Grainne; Donovan, Ellen et al. (2018) Influence of Confounding Factors on Radiation Dose Estimation Using In Vivo Validated Transcriptional Biomarkers. Health Phys 115:90-101

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