Biomarkers of Ionizing Radiation Exposure: A Multiparametric Approach

• Published in: Genome integrity Vol. 8; p. 6
• Main Authors: Zeegers, Dimphy, Venkatesan, Shriram, Koh, Shu Wen, Low, Grace Kah Mun, Srivastava, Pallavee, Sundaram, Neisha, Sethu, Swaminathan, Banerjee, Birendranath, Jayapal, Manikandan, Belyakov, Oleg, Baskar, Rajamanickam, Balajee, Adayabalam S, Hande, M Prakash
• Format: Journal Article
• Language: English
• Published: England Medknow Publications & Media Pvt Ltd 01.01.2017
• Subjects: Original; gene signatures; radiation biodosimetry; multiparametric approach; γH2AX; translocations; dicentrics; micronuclei
• ISSN: 2041-9414; 2041-9414
• DOI: 10.4103/2041-9414.198911

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.