This technology is a biodosimeter capable of rapidly detecting and assessing the degree of radiation exposure using human blood samples.
Following a large-scale radiological or nuclear event, large numbers of people may be exposed to ionizing radiation and require rapid and dose-dependent medical treatment. Current biodosimetry methods are time-intensive and difficult to scale up to meet the demands of such events. Therefore, there is a need for a more effective tool capable of identifying and measuring human exposure to ionizing radiation that can scale up to quickly assess larger sample sizes.
This technology uses a sandwich ELISA (Enzyme-Linked ImmunoSorbent Assay) immunoassay approach able to rapidly detect and quantify a panel of radio-responsive intracellular and plasma proteins in the peripheral blood of individuals recently exposed to ionizing radiation. The presence of these proteins can be used to accurately predict the degree of radiation exposure up to one-week post-exposure. The technology is capable of testing 40 samples in <4 hours or 400 samples in ~15 hours, ensuring same-day diagnosis and thereby allowing medical providers to more quickly address the exposure and begin treatment.
This technology has been validated using animal models.
Patent Pending
Kanagaraj K, Phillippi MA, Ober EH, Shuryak I, Kleiman NJ, Olson J, Schaaf G, Cline JM, Turner HC. BAX and DDB2 as biomarkers for acute radiation exposure in the human blood ex vivo and non-human primate models. Sci Rep. 2024 Aug 20;14(1):19345. PMID: 39164366. (https://pubmed.ncbi.nlm.nih.gov/39164366/).
Wang Q, Bacon BA, Taveras M, Phillippi MA, Wu X, Broustas CG, Shuryak I, Turner HC. Biomarkers for Radiation Biodosimetry and Correlation with Hematopoietic Injury in a Humanized Mouse Model. Radiat Res. 2024 Sep 1;202(3):541-551. PMID: 39034036. (https://pubmed.ncbi.nlm.nih.gov/39034036/).
Nemzow L, Boehringer T, Mayenburg J, Beaton-Green LA, Wilkins RC, Turner HC. “Interlaboratory comparison of high-throughput protein biomarker assay quantifications for radiation exposure classification.” PLoS One. 2024 Apr 29;19(4): e0301418. (https://pubmed.ncbi.nlm.nih.gov/38683751/)
IR CU24211
Licensing Contact: Joan Martinez