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The hunt for radiation biomarkers: current situation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F20%3A50016194" target="_blank" >RIV/62690094:18470/20:50016194 - isvavai.cz</a>

  • Alternative codes found

    RIV/60162694:G44__/20:00555431

  • Result on the web

    <a href="https://www.tandfonline.com/doi/abs/10.1080/09553002.2020.1704909?journalCode=irab20" target="_blank" >https://www.tandfonline.com/doi/abs/10.1080/09553002.2020.1704909?journalCode=irab20</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/09553002.2020.1704909" target="_blank" >10.1080/09553002.2020.1704909</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The hunt for radiation biomarkers: current situation

  • Original language description

    Purpose: The possibility of a large-scale acute radiation exposure necessitates the development of new methods that could provide a rapid assessment of the doses received by individuals using high-throughput technologies. There is also a great interest in developing new biomarkers of dose exposure, which could be used in large molecular epidemiological studies in order to correlate estimated doses received and health effects. The goal of this review was to summarize current literature focused on biological dosimetry, namely radiation-responsive biomarkers. Methods: The studies involved in this review were thoroughly selected according to the determined criteria and PRISMA guidelines. Results: We described briefly recent advances in radiation genomics and metabolomics, giving particular emphasis to proteomic analysis. The majority of studies were performed on animal models (rats, mice, and non-human primates). They have provided much beneficial information, but the most relevant tests have been done on human (oncological) patients. By inspecting the radiaiton biodosimetry literate of the last 10years, we identified a panel of candidate markers for each –omic approach involved. Conslusions: We reviewed different methodological approaches and various biological materials, which can be exploited for dose-effect prediction. The protein biomarkers from human plasma are ideal for this specific purpose. From a plethora of candidate markers, FDXR is a very promising transcriptomic candidate, and importantly this biomarker was also confirmed by some studies at protein level in humans.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10609 - Biochemical research methods

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International journal of radiation biology

  • ISSN

    0955-3002

  • e-ISSN

  • Volume of the periodical

    96

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    13

  • Pages from-to

    370-382

  • UT code for WoS article

    000516972500009

  • EID of the result in the Scopus database

    2-s2.0-85077843182