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DOI 10.1080/14737159.2021.1933448

Медицинская библиотека · Expert review of molecular diagnostics · 2021

Metabolomics-based predictive biomarkers of radiation injury and countermeasure efficacy: current status and future perspectives.

Singh Vijay K, Seed Thomas M, Cheema Amrita K

СтатьяПоддержка исследования: вне правительства СШАПоддержка правительства СШАОбзорПеревод в очереди

Аннотация

INTRODUCTION

There is an urgent need for specific and sensitive bioassays to augment biodosimetric assessments of unwanted and excessive radiation exposures that originate from unexpected nuclear/radiological events, including nuclear accidents, acts of terrorism, or the use of a radiological dispersal device. If sufficiently intense, such ionizing radiation exposures are likely to impact normal metabolic processes within the cells and organs of the body, thus inducing multifaceted biological responses.

AREAS COVERED: This review covers the application of metabolomics, an emerging and promising technology based on quantitative and qualitative determinations of small molecules in biological samples for the rapid assessment of an individual's exposure to ionizing radiation. Recent advancements in the analytics of high-resolution chromatography, mass spectrometry, and bioinformatics have led to untargeted (global) and targeted (quantitative phase) approaches to identify biomarkers of radiation injury and countermeasure efficacy. Biomarkers are deemed essential for both assessing the radiation exposure levels and for extrapolative processes involved in determining scaling factors of a given radiation countering medicinal between experimental animals and humans.

EXPERT OPINION: The discipline of metabolomics appears to be highly informative in assessing radiation exposure levels and for identifying biomarkers of radiation injury and countermeasure efficacy.

Для цитирования: Singh Vijay K, Seed Thomas M, Cheema Amrita K. Metabolomics-based predictive biomarkers of radiation injury and countermeasure efficacy: current status and future perspectives.. Expert review of molecular diagnostics. 2021. DOI: 10.1080/14737159.2021.1933448.

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