SBIR/STTR Research Award

Metabolomics Based Prediction of Delayed Effects of Acute Radiation Exposure

Award identifier ce42952e73df5c89e37d50e617f563e8c463a2f6ee67b319c1b752a170455cb8Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$579,155

Program and phase

SBIR · Phase I

Award year

2020

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
NELSON SCIENTIFIC LABS LLC
Proposal award date
2020-07-01
Contract end date
2022-06-30
UEI
JEJLR9NJ1LJ9
Solicitation number
PA18-525
Topic code
NIAID

Research abstract

Abstract Exposure of victims to ionizing radiation due to a radiological accident or nuclear terrorism leads to the acute radiation syndrome. Since several efforts have led to the development of medical countermeasures against these acute radiation toxicities, the chance that victims survive a radiological event has significantly increased. However, in victims who survive the acute effects, there will be a latent period of months to decades before delayed injuries manifest. Late organ injury is progressively irreversible, adversely affects quality of life and may prove life-threatening. Therefore, pre-emptive identification of individuals at risk for such late effects is critical in the decision process to determine the timing and choice of the most appropriate intervention strategies. Metabolomics-based biomarker assays are fast gaining credence for clinical translation in a variety of disease settings. Our preliminary studies strongly suggest that multi-analyte profiles obtained from a high-resolution mass spectrometry platform provide robust and early indicators of radiation injury with high translational value. In this Phase I study, using a discovery-validation study design, we propose to identify anticipatory metabolic biomarkers of radiation injury to two major organs at risk for delayed complications: heart and brain. Initially, we will make use of murine models of γ-ray exposure to identify plasma and urine biomarkers that predict the extent of injury that will manifest in the heart and brain before clinical symptoms appear. We will not only discover new biomarkers, but also validate them in independent cohorts of mice. We will determine which matrix (plasma or urine) provides the best predictor for each of the organ systems (Technical Objective 1). Subsequently, we will validate these biomarkers in plasma and urine samples obtained from male and female NHPs exposed to γ- radiation and followed up long term for organ injury and survival outcomes (Technical Objective 2). FDA guidance on biomarker development and co-development will be followed to ensure regulatory considerations are taken into account at all steps in the process. Most studies in this area of research identify urine or plasma metabolites that differentiate between irradiated and unirradiated animals when measured within 96 hours after radiation. While this approach has value in determining which radiation dose one was exposed to, it does not predict someone’s risk for developing delayed radiation injuries. This project will fill this gap and be among the first to identify and validate biomarker panels of delayed radiation injuries. Successful completion of technical objectives will enable the selection of biomarker panels that would be ready for analytical validation for a kit-based assay in a subsequent Phase II application. Taken together, these studies, ultimately, will enable the development of a commercially viable kit based companion diagnostic test that can be used for identifying individuals at risk for developing delayed injuries from radiation exposure.Project Narrative There is a need for minimally invasive, cost-effective and high-throughput methods to identify individuals who survive high radiation doses from a radiological event, but are subsequently at risk of developing radiation induced tissue/organ injuries. We will build biomarker panels in both plasma and urine that are predictive for two organs at risk, heart and brain. The long-term goal of this work is to design a kit-based biomarker assay that can be used to estimate risk and severity of late radiation injuries in multiple organs in victims of a radiological event before the appearance of clinical symptoms.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

3 SBIR/STTR records share this UEI (2020–2023). Reported award amounts total $3,449,608. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.