Literature DB >> 22769026

Gene expression comparisons performed for biodosimetry purposes on in vitro peripheral blood cellular subsets and irradiated individuals.

A Riecke1, C G Rufa, M Cordes, J Hartmann, V Meineke, M Abend.   

Abstract

We examined the benefit of gene expression analysis on peripheral blood cellular subsets of different radiosensitivity to elucidate their utility as biodosimeters for estimation of dose in irradiated individuals. Peripheral mononucleated cells were isolated from 18 healthy volunteers employing density separation in a CPT-NH tube. Peripheral mononucleated cells were cultured in RPMI 1640 medium containing 10% autologous serum and were irradiated with 0.1-1 Gy (240 kV, 13 mA, X rays at 1 Gy/min). A low-dose study was performed with isolated peripheral mononucleated cells from one healthy donor in three independent experiments. Peripheral mononucleated cells were irradiated at 0 (sham), 1, 2.5 and 5 cGy (70 kV, 13 mA X rays at 1 cGy/min) and gene expression was measured 24 and 48 h after irradiation. After irradiation, CD4(+) or CD8(+) cells were isolated by magnetic beads in independent experiments. RNA from lymphocyte subsets and peripheral mononucleated cells was isolated after 24 and 48 h and converted into cDNA. Gene expression of GADD45, CDKN1A, DDB2, PCNA, BAX and ATF3 were determined using RTQ-PCR. Data were analyzed employing linear and logistic regression analysis. The same examinations were performed in 5 individuals either diagnosed using CT scans (up to 4.3 cGy) or by administering (F-18)-fluoro-2-deoxy-d-glucose (F-18 FDG, 0.6 cGy). Methodological, intra- and inter-individual variability in 90-95% of measurements did not exceed the introduced twofold change over sham-irradiated control values in peripheral mononucleated cells and CD4(+) cells, and therefore no false positive results were observed. Dose reconstruction in peripheral mononucleated cells in opposite to CD4(+) lymphocytes required fewer genes and appeared more efficient (R-square = 84.8% compared to 51.8%). In vitro samples exposed to 10 cGy could be completely discriminated from sham-irradiated samples without individual pre-exposure controls, which coincided with our preliminary in vivo results. However, in vitro differential gene expression was measured relative to control values and did not differ significantly at 24 and 48 h after irradiation in contrast to our preliminary in vivo data. In addition, below 5 cGy in vitro data did not show reproducible significant changes in gene expression, which was opposite to our preliminary in vivo data. Therefore a twofold change in gene expression over control sufficiently controls for different sources of variance, and measuring gene expression in peripheral mononucleated cell for biological dosimetry purposes appears superior over measurements in lymphocyte subsets. The increased gene expression measured after low absorbed doses in vivo and in vitro might indicate a particular applicability of this method for a low-level radiation scenario in the absence of individual pre-exposure controls. However, the constant gene expression values measured up to 48 h in our in vitro model at doses >10 cGy, and the absence of reproducible and statistically significant gene expression changes below 5 cGy contrast to the preliminary in vivo results performed at similar doses. Therefore, measurements with our in vitro models should be interpreted cautiously.

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Year:  2012        PMID: 22769026     DOI: 10.1667/rr2738.1

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  17 in total

1.  Use of a Humanized Mouse Model System in the Validation of Human Radiation Biodosimetry Standards.

Authors:  Monica Pujol-Canadell; Erik Young; Lubomir Smilenov
Journal:  Radiat Res       Date:  2019-02-25       Impact factor: 2.841

2.  Biodosimetric transcriptional and proteomic changes are conserved in irradiated human tissue.

Authors:  Simon P Keam; Twishi Gulati; Cristina Gamell; Franco Caramia; Gisela Mir Arnau; Cheng Huang; Ralf B Schittenhelm; Oded Kleifeld; Paul J Neeson; Scott G Williams; Ygal Haupt
Journal:  Radiat Environ Biophys       Date:  2018-05-30       Impact factor: 1.925

3.  Microfluidic module for blood cell separation for gene expression radiobiological assays.

Authors:  Muriel Brengues; Jian Gu; Frederic Zenhausern
Journal:  Radiat Prot Dosimetry       Date:  2015-04-15       Impact factor: 0.972

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Authors:  Deepa M Sridharan; Aroumougame Asaithamby; Steve R Blattnig; Sylvain V Costes; Paul W Doetsch; William S Dynan; Philip Hahnfeldt; Lynn Hlatky; Yared Kidane; Amy Kronenberg; Mamta D Naidu; Leif E Peterson; Ianik Plante; Artem L Ponomarev; Janapriya Saha; Antoine M Snijders; Kalayarasan Srinivasan; Jonathan Tang; Erica Werner; Janice M Pluth
Journal:  Life Sci Space Res (Amst)       Date:  2016-05-21

5.  Developing Human Radiation Biodosimetry Models: Testing Cross-Species Conversion Approaches Using an Ex Vivo Model System.

Authors:  Jin G Park; Sunirmal Paul; Natalia Briones; Jia Zeng; Kristin Gillis; Garrick Wallstrom; Joshua LaBaer; Sally A Amundson
Journal:  Radiat Res       Date:  2017-03-22       Impact factor: 2.841

6.  Comparison of established and emerging biodosimetry assays.

Authors:  K Rothkamm; C Beinke; H Romm; C Badie; Y Balagurunathan; S Barnard; N Bernard; H Boulay-Greene; M Brengues; A De Amicis; S De Sanctis; R Greither; F Herodin; A Jones; S Kabacik; T Knie; U Kulka; F Lista; P Martigne; A Missel; J Moquet; U Oestreicher; A Peinnequin; T Poyot; U Roessler; H Scherthan; B Terbrueggen; H Thierens; M Valente; A Vral; F Zenhausern; V Meineke; H Braselmann; M Abend
Journal:  Radiat Res       Date:  2013-07-17       Impact factor: 2.841

Review 7.  2013 Dade W. Moeller lecture: medical countermeasures against radiological terrorism.

Authors:  John E Moulder
Journal:  Health Phys       Date:  2014-08       Impact factor: 1.316

8.  Radiation-induced alternative transcription and splicing events and their applicability to practical biodosimetry.

Authors:  Ellina Macaeva; Yvan Saeys; Kevin Tabury; Ann Janssen; Arlette Michaux; Mohammed A Benotmane; Winnok H De Vos; Sarah Baatout; Roel Quintens
Journal:  Sci Rep       Date:  2016-01-14       Impact factor: 4.379

9.  DNA repair and cell cycle biomarkers of radiation exposure and inflammation stress in human blood.

Authors:  Helen Budworth; Antoine M Snijders; Francesco Marchetti; Brandon Mannion; Sandhya Bhatnagar; Ely Kwoh; Yuande Tan; Shan X Wang; William F Blakely; Matthew Coleman; Leif Peterson; Andrew J Wyrobek
Journal:  PLoS One       Date:  2012-11-07       Impact factor: 3.240

10.  Toward the development of transcriptional biodosimetry for the identification of irradiated individuals and assessment of absorbed radiation dose.

Authors:  Kamil Brzóska; Marcin Kruszewski
Journal:  Radiat Environ Biophys       Date:  2015-05-14       Impact factor: 1.925

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