Microarray analysis of miRNA expression profiles following whole body irradiation in a mouse model. (3rd October 2018)

• Record Type: Journal Article
• Authors: Aryankalayil, Molykutty J.; Chopra, Sunita; Makinde, Adeola; Eke, Iris; Levin, Joel; Shankavaram, Uma; MacMillan, Laurel; Vanpouille-Box, Claire; Demaria, Sandra; Coleman, C. Norman
• Is Part Of: Biomarkers. Volume 23:Number 7(2018)
• Page Start: 689
• Page End: 703
• Publication Date: 2018-10-03
• Subjects: Radiation -- bio-dosimetry -- biomarker -- microRNAs; Biochemical markers -- Periodicals; 610.28
• DOI: 10.1080/1354750X.2018.1479771
• Languages: English
• ISSNs: 1354-750X

Abstract

Abstract: Context: Accidental exposure to life-threatening radiation in a nuclear event is a major concern; there is an enormous need for identifying biomarkers for radiation biodosimetry to triage populations and treat critically exposed individuals. Objective: To identify dose-differentiating miRNA signatures from whole blood samples of whole body irradiated mice. Methods: Mice were whole body irradiated with X-rays (2 Gy–15 Gy); blood was collected at various time-points post-exposure; total RNA was isolated; miRNA microarrays were performed; miRNAs differentially expressed in irradiated vs. unirradiated controls were identified; feature extraction and classification models were applied to predict dose-differentiating miRNA signature. Results: We observed a time and dose responsive alteration in the expression levels of miRNAs. Maximum number of miRNAs were altered at 24-h and 48-h time-points post-irradiation. A 23-miRNA signature was identified using feature selection algorithms and classifier models. An inverse correlation in the expression level changes of miR-17 members, and their targets were observed in whole body irradiated mice and non-human primates. Conclusion: Whole blood-based miRNA expression signatures might be used for predicting radiation exposures in a mass casualty nuclear incident.