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Biomarkers. 2018 Nov;23(7):689-703. doi: 10.1080/1354750X.2018.1479771. Epub 2018 Jun 19.

Microarray analysis of miRNA expression profiles following whole body irradiation in a mouse model.

Author information

1
a Radiation Oncology Branch, Center for Cancer Research , National Cancer Institute , Bethesda , MD , USA.
2
b Gryphon Scientific , Takoma Park , MD , USA.
3
c Department of Radiation Oncology , Weill Cornell Medicine , New York , NY , USA.
4
d Radiation Research Program, National Cancer Institute , National Institutes of Health , Rockville , MD , USA.

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.

KEYWORDS:

Radiation; bio-dosimetry; biomarker; microRNAs

PMID:
29799276
DOI:
10.1080/1354750X.2018.1479771
[Indexed for MEDLINE]

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