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ORIGINAL ARTICLE
Year : 2017  |  Volume : 8  |  Issue : 1  |  Page : 6

Biomarkers of ionizing radiation exposure: A multiparametric approach


1 Department of Physiology, Yong Loo Lin School of Medicine, National University of, Singapore
2 Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; GROW Research Laboratory, Narayana Nethralaya Foundation, Bangalore, Karnataka, India
3 Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; School of Biotechnology, KIIT University, Bhubaneswar, Odisha, India
4 Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; NanoString Technologies, Seattle, WA, USA
5 Division of Human Health, International Atomic Energy Agency, Vienna, Austria
6 Research Office, Sengkang Health, Alexandra Hospital, Singapore
7 REAC/TS, Oak Ridge Institute for Science and Education, Oak Ridge Associated Universities, Oak Ridge TN, USA
8 Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Human Health, International Atomic Energy Agency, Vienna, Austria; Tembusu College, National University of Singapore, Singapore

Correspondence Address:
M Prakash Hande
Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, MD9, 2 Medical Drive, 117597

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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2041-9414.198911

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Humans are exposed to ionizing radiation not only through background radiation but also through the ubiquitous presence of devices and sources that generate radiation. With the expanded use of radiation in day.to.day life, the chances of accidents or misuse only increase. Therefore, a thorough understanding of the dynamic effects of radiation exposure on biological entities is necessary. The biological effects of radiation exposure on human cells depend on much variability such as level of exposure, dose rate, and the physiological state of the cells. During potential scenarios of a large.scale radiological event which results in mass casualties, dose estimates are essential to assign medical attention according to individual needs. Many attempts have been made to identify biomarkers which can be used for high throughput biodosimetry screening. In this study, we compare the results of different biodosimetry methods on the same irradiated cells to assess the suitability of current biomarkers and push forward the idea of employing a multiparametric approach to achieve an accurate dose and risk estimation.


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