Patrick Ostheim1, Sally A Amundson2, Christophe Badie3,4, Dimitry Bazyka5, Angela C Evans6, Shanaz A Ghandhi2, Maria Gomolka7, Milagrosa López Riego8, Peter K Rogan9,10, Robert Terbrueggen11, Gayle E Woloschak12, Frederic Zenhausern13,14, Hanns L Kaatsch1, Simone Schüle1, Reinhard Ullmann1, Matthias Port1, Michael Abend1. 1. Bundeswehr Institute of Radiobiology Affiliated to the University of Ulm, Munich, Germany. 2. Center for Radiological Research, Columbia University Irving Medical Center (CUIMC), New York, NY, USA. 3. PHE CRCE, Chilton, Didcot, Oxford, UK. 4. Environmental Research Group within the School of Public Health, Faculty of Medicine at Imperial College of Science, Technology and Medicine, London, UK. 5. National Research Centre for Radiation Medicine, Kyiv, Ukraine. 6. Department of Radiation Oncology, University of California Davis, Sacramento, CA, USA. 7. Bundesamt für Strahlenschutz/Federal Office for Radiation Protection, Oberschleissheim, Germany. 8. Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden. 9. Biochemistry, University of Western Ontario, London, Canada. 10. CytoGnomix Inc, London, Canada. 11. Dxterity Diagnostics, Los Angeles, CA, USA. 12. Radiation Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. 13. Department of Basic Medical Sciences, College of Medicine, The University of Arizona, Phoenix, AZ, USA. 14. Center for Applied Nanobioscience and Medicine, University of Arizona, Phoenix, AZ, USA.
Abstract
PURPOSE: In a nuclear or radiological event, an early diagnostic or prognostic tool is needed to distinguish unexposed from low- and highly exposed individuals with the latter requiring early and intensive medical care. Radiation-induced gene expression (GE) changes observed within hours and days after irradiation have shown potential to serve as biomarkers for either dose reconstruction (retrospective dosimetry) or the prediction of consecutively occurring acute or chronic health effects. The advantage of GE markers lies in their capability for early (1-3 days after irradiation), high-throughput, and point-of-care (POC) diagnosis required for the prediction of the acute radiation syndrome (ARS). CONCLUSIONS: As a key session of the ConRad conference in 2021, experts from different institutions were invited to provide state-of-the-art information on a range of topics including: (1) Biodosimetry: What are the current efforts to enhance the applicability of this method to perform retrospective biodosimetry? (2) Effect prediction: Can we apply radiation-induced GE changes for prediction of acute health effects as an approach, complementary to and integrating retrospective dose estimation? (3) High-throughput and point-of-care diagnostics: What are the current developments to make the GE approach applicable as a high-throughput as well as a POC diagnostic platform? (4) Low level radiation: What is the lowest dose range where GE can be used for biodosimetry purposes? (5) Methodological considerations: Different aspects of radiation-induced GE related to more detailed analysis of exons, transcripts and next-generation sequencing (NGS) were reported.
PURPOSE: In a nuclear or radiological event, an early diagnostic or prognostic tool is needed to distinguish unexposed from low- and highly exposed individuals with the latter requiring early and intensive medical care. Radiation-induced gene expression (GE) changes observed within hours and days after irradiation have shown potential to serve as biomarkers for either dose reconstruction (retrospective dosimetry) or the prediction of consecutively occurring acute or chronic health effects. The advantage of GE markers lies in their capability for early (1-3 days after irradiation), high-throughput, and point-of-care (POC) diagnosis required for the prediction of the acute radiation syndrome (ARS). CONCLUSIONS: As a key session of the ConRad conference in 2021, experts from different institutions were invited to provide state-of-the-art information on a range of topics including: (1) Biodosimetry: What are the current efforts to enhance the applicability of this method to perform retrospective biodosimetry? (2) Effect prediction: Can we apply radiation-induced GE changes for prediction of acute health effects as an approach, complementary to and integrating retrospective dose estimation? (3) High-throughput and point-of-care diagnostics: What are the current developments to make the GE approach applicable as a high-throughput as well as a POC diagnostic platform? (4) Low level radiation: What is the lowest dose range where GE can be used for biodosimetry purposes? (5) Methodological considerations: Different aspects of radiation-induced GE related to more detailed analysis of exons, transcripts and next-generation sequencing (NGS) were reported.
Authors: Shanaz A Ghandhi; Igor Shuryak; Brian Ponnaiya; Xuefeng Wu; Guy Garty; Shad R Morton; Salan P Kaur; Sally A Amundson Journal: Sci Rep Date: 2022-08-19 Impact factor: 4.996