grant

Center for High-Throughput Minimally-Invasive Radiation Biodosimetry

Organization COLUMBIA UNIVERSITY HEALTH SCIENCESLocation NEW YORK, UNITED STATESPosted 31 Aug 2005Deadline 31 Jul 2026
NIHUS FederalResearch GrantFY2024Adverse Late EffectsAdvisory CommitteesAnimalsBiologic ModelsBiological MarkersBiological ModelsBiometricsBiometryBiostatisticsBloodBlood Reticuloendothelial SystemCell Communication and SignalingCell SignalingCharacteristicsComplexCytogeneticsDevelopmentDevicesDiseaseDisorderDoseDose RateEventFundingFutureGene ExpressionGoalsHumanIndividualInjuryIntracellular Communication and SignalingLate EffectsLate Radiation InjuryLungLung DiseasesLung Respiratory SystemModel SystemModern ManNIAIDNational Institute of Allergy and Infectious DiseaseNatureNeutronsNuclearOrganization ChartsPersonalized medical approachPersonsPhotonsPopulationPositionPositioning AttributePulmonary DiseasesPulmonary DisorderR-Series Research ProjectsR01 MechanismR01 ProgramRadiationRadiation SensitivityRadiation ToleranceRadiosensitivityResearchResearch GrantsResearch Project GrantsResearch ProjectsResearch ResourcesResourcesSignal TransductionSignal Transduction SystemsSignalingSystemTask ForcesTechnologyTimeWorkadvisory teamassay developmentbio-markersbiodosimetrybiologic markerbiological signal transductionbiomarkerdevelopmentaldisease of the lungdisorder of the lungdosimetryexposed human populationfunctional genomicshuman exposurein vivoindividualized approachindividualized predictionsinjuriesinterdisciplinary approachirradiationlung disordermembermetabolism measurementmetabolomicsmetabonomicsminimally invasivemultidisciplinary approachorganizational structurepersonalized approachpersonalized predictionsprecision approachpredict responsivenesspredicting responsepredictive biomarkerspredictive markerpredictive molecular biomarkerproduct developmentprogramspulmonaryradio-sensitivityradiosensitivereconstructionresponsesenescent celltailored approachtranscriptomics
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Full Description

This Program represents a cohesive approach motivated by the practical needs of very high-throughput
biodosimetry in a variety of different large-scale exposure scenarios, to predict both individual dose and also

individual sensitivity to future injury. A central characteristic remains our focus on 3 different high-throughput

approaches: fully automated cytogenetics (Project 1), gene expression (Project 2), and metabolomics (Project

3). These have different balances of capabilities in terms of throughput, time-to-result, dose reconstruction,

exposure scenario identification and individual radiosensitivity prediction, and the final goal is to quantify their

optimal integrated usage in different large-scale exposure scenarios. The Projects share four common themes:

1: “Beyond Simple Exposures”: Towards High-Throughput Biodosimetry for Complex Exposures: After

an IND there will be a wide variety of exposure scenarios including very high dose rate, neutron exposure,

partial-body exposure (all from the initial prompt radiation), and varying dose rate and low dose rate (from

external fallout and internal exposure). The goals are to 1) understand how these different exposure scenarios

modulate the response of the predictive biomarkers that we have developed, and 2) optimally use these

biomarkers to identify / characterize these different exposure scenarios to which individuals may be exposed.

2: “Beyond Dose”: Towards High-Throughput Individualized Predictors of Photon and Neutron-

Induced Radiosensitivity and Late Radiation Injury: Gene expression and metabolomics each have utility

for predicting individualized onset of late radiation-induced lung disease, and for predicting which irradiated

animals will die from the disease. This work will be extended to neutron-induced late effects, whilst also

assessing the significance of senescent cells for late disease development and for our lung disease signatures.

3: “Beyond Model Systems”: Probing the Applications of Experimentally-Generated Photon and

Neutron Biomarkers to In-Vivo Human Exposure Scenarios: The goal is to assess in-vivo human

exposures, but biodosimetric assay development is typically performed either with ex-vivo irradiated human

blood or in-vivo in animals. For both photons and neutrons, ex-vivo vs. in-vivo generated biomarkers will be

compared, and ex-vivo generated biomarkers from different species will be characterized and compared.

4: Optimized Biomarker Integration: The three different biomarker systems reflect different balances of

capabilities in terms of, for example, throughput, time-to-result, signal lifetime, dose reconstruction, exposure

scenario identification and individual radiosensitivity prediction. The goal here is to identify their optimal

integrated usage in each of a variety of very different possible large-scale exposure scenarios.

Three scientific cores (Animal, Irradiation & Dosimetry, and Biostatistics) bring together key support

technologies, with each Core supporting each of the Research Projects. Because of the integrated nature of

the research, this results in major gains in efficiency.

Grant Number: 5U19AI067773-20
NIH Institute/Center: NIH

Principal Investigator: DAVID BRENNER

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