Igor Sirak

Dr. Igor Sirak

orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2017 in International Journal of Radiation Oncology, Biology, Physics
Verified
Journal Article
Closed access
LMLoren K. Mell
Loren K. Mell
ISIgor Sirak
Igor Sirak
LWLichun Wei
Lichun Wei
RTRafal Tarnawski
Rafal Tarnawski
UMUmesh Mahantshetty
Umesh Mahantshetty
AMA.J. Mundt
A.J. Mundt

1 January 2017 in International Journal of Radiation Oncology, Biology, Physics
Verified
Journal Article
Closed access
NLNan Li
Nan Li
RCRuben Carmona
Ruben Carmona
ISIgor Sirak
Igor Sirak
LKLinda Kasaova
Linda Kasaova
DFDavid Followill
David Followill
KMKevin L. Moore
Kevin L. Moore

12 January 2018 in Scientific Reports
Verified
Journal Article
Open access
PDF file
GOGráinne O’bRien
Gráinne O’bRien
LCLourdes Cruz-Garcia
Lourdes Cruz-Garcia
MMMatthäus Majewski
Matthäus Majewski
JGJakub Grepl
Jakub Grepl
MAMichael Abend
Michael Abend
Christophe BadieChristophe Badie
Christophe Badie
Previous investigations in gene expression changes in blood after radiation exposure have highlighted its potential to provide biomarkers of exposure. Here, FDXR transcriptional changes in blood were investigated in humans undergoing a range of external radiation exposure procedures covering several orders of magnitude (cardiac fluoroscopy, diagnostic computed tomography (CT)) and treatments (total body and local radiotherapy). Moreover, a method was developed to assess the dose to the blood using physical exposure parameters. FDXR expression was significantly up-regulated 24 hr after radiotherapy in most patients and continuously during the fractionated treatment. Significance was reached even after diagnostic CT 2 hours post-exposure. We further showed that no significant differences in expression were found between ex vivo and in vivo samples from the same patients. Moreover, potential confounding factors such as gender, infection status and anti-oxidants only affect moderately FDXR transcription. Finally, we provided a first in vivo dose-response showing dose-dependency even for very low doses or partial body exposure showing good correlation between physically and biologically assessed doses. In conclusion, we report the remarkable responsiveness of FDXR to ionising radiation at the transcriptional level which, when measured in the right time window, provides accurate in vivo dose estimates.

31 July 2015 in Virchows Archiv
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Journal Article
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JLJan Laco
Jan Laco
KSKateřina Sieglová
Kateřina Sieglová
HVHana Vošmiková
Hana Vošmiková
PDPavel Dundr
Pavel Dundr
KNKristyna Nemejcova
Kristyna Nemejcova
ARAleš Ryška
Aleš Ryška

1 April 2018 in Radiation Research
Verified
Journal Article
Closed access
MPM. Port
M. Port
MMM. Majewski
M. Majewski
FHF. Herodin
F. Herodin
MVM. Valente
M. Valente
MDM. Drouet
M. Drouet
MAMichael Abend
Michael Abend
The research for high-throughput diagnostic tests for victims of radio/nuclear incidents remains ongoing. In this context, we have previously identified candidate genes that predict risk of late-occurring hematologic acute radiation syndrome (HARS) in a baboon model. The goal of the current study was to validate these genes after radiation exposure in humans. We also examined ex vivo relative to in vivo measurements in both species and describe dose-response relationships. Eighteen baboons were irradiated in vivo to simulate different patterns of partial- or total-body irradiation (TBI), corresponding to an equivalent dose of 2.5 or 5 Sv. Human in vivo blood samples were obtained from patients exposed to different dose ranges: diagnostic computerized tomography (CT; 0.004–0.018 Sv); radiotherapy for prostate cancer (0.25–0.3 Sv); and TBI of leukemia patients (2 × 1.5 or 2 × 2 Sv, five patients each). Peripheral whole blood of another five baboons and human samples from five healthy donors were cultivated ...

23 February 2018 in PLOS ONE
Verified
Journal Article
Open access
PDF file
ATAles Tichy
Ales Tichy
SKSylwia Kabacik
Sylwia Kabacik
GOGrainne O'Brien
Grainne O'Brien
JPJaroslav Pejchal
Jaroslav Pejchal
ZSZuzana Sinkorova
Zuzana Sinkorova
Christophe BadieChristophe Badie
Christophe Badie
The increasing risk of acute large-scale radiological/nuclear exposures of population underlines the necessity of developing new, rapid and high throughput biodosimetric tools for estimation of received dose and initial triage. We aimed to compare the induction and persistence of different radiation exposure biomarkers in human peripheral blood in vivo. Blood samples of patients with indicated radiotherapy (RT) undergoing partial body irradiation (PBI) were obtained soon before the first treatment and then after 24 h, 48 h, and 5 weeks; i.e. after 1, 2, and 25 fractionated RT procedures. We collected circulating peripheral blood from ten patients with tumor of endometrium (1.8 Gy per fraction) and eight patients with tumor of head and neck (2.0–2.121 Gy per fraction). Incidence of dicentrics and micronuclei was monitored as well as determination of apoptosis and the transcription level of selected radiation-responsive genes. Since mitochondrial DNA (mtDNA) has been reported to be a potential indicator of radiation damage in vitro, we also assessed mtDNA content and deletions by novel multiplex quantitative PCR. Cytogenetic data confirmed linear dose-dependent increase in dicentrics (p < 0.01) and micronuclei (p < 0.001) in peripheral blood mononuclear cells after PBI. Significant up-regulations of five previously identified transcriptional biomarkers of radiation exposure (PHPT1, CCNG1, CDKN1A, GADD45, and SESN1) were also found (p < 0.01). No statistical change in mtDNA deletion levels was detected; however, our data indicate that the total mtDNA content decreased with increasing number of RT fractions. Interestingly, the number of micronuclei appears to correlate with late radiation toxicity (r2 = 0.9025) in endometrial patients suggesting the possibility of predicting the severity of RT-related toxicity by monitoring this parameter. Overall, these data represent, to our best knowledge, the first study providing a multiparametric comparison of radiation biomarkers in human blood in vivo, which have potential for improving biological dosimetry.