Skip to main content
Asia Oceania Journal of Nuclear Medicine and Biology logoLink to Asia Oceania Journal of Nuclear Medicine and Biology
. 2018 Winter;6(1):32–40. doi: 10.22038/aojnmb.2017.9678

In vivo Exposure Effects of 99mTc-methoxyisobutylisonitrile on the FDXR and XPA Genes Expression in Human Peripheral Blood Lymphocytes

Mohammad Taghi Bahreyni-Toossi 1, Habibeh Vosoughi 1,*, Hosein Azimian 1, Abdul Rahim Rezaei 2, Mehdi Momennezhad 3
PMCID: PMC5765331  PMID: 29333465

Abstract

Objective(s):

In recent years, the application of radiopharmaceuticals in nuclear medicine has increased substantially. Following the diagnostic procedures performed in nuclear medicine departments, such as myocardial perfusion imaging, patients generally receive considerable doses of radiation. Normally, radiation-induced DNA damages are expected following exposure to a low-dose ionizing radiation. In order to detect molecular changes, high-sensitivity techniques must be utilized. The aim of this study was to assess the effect of a low-dose (below 10 mSv) gamma ray on gene expression using quantitative real-time polymerase chain reaction (qRT-PCR).

Methods:

Blood samples were obtained from 20 volunteer patients who underwent myocardial perfusion imaging. They were given various doses of Technetium-99m methoxyisobutylisonitrile (99mTc-MIBI). After that, peripheral blood mononuclear cells (PBMNs) were derived, and then total RNA was extracted and reverse-transcribed to cDNA. Finally, the expression levels of xeroderma pigmentosum complementation group-A (XPA) and ferredoxin reductase (FDXR) genes were determinded through qRT-PCR technique using SYBR Green.

Results:

XPA and FDXR expression levels were obtained following a very low-dose ionizing radiation. A significant up-regulation of both genes was observed, and the gene expression level of each individual patient was different. If differences in the administered activity and radiosensitivity are taken into account, the observed differences could be justified. Furthermore, gender and age did not play a significant role in the expression levels of the genes under study.

Conclusion:

The up-regulation of FDXR after irradiation revealed the high-sensitivity level of this gene; therefore, it could be used as an appropriate biomarker for biological dosimetry. On the other hand, the up-regulation of XPA is an indication of DNA repair following radiation exposure. According to linear no-threshold model (LNT) and the results obtained from this study, a very low dose of ionizing radiation could bring about adverse biological effects at molecular level in the irradiated person.

Keywords: Biodosimetry, DNA damage, Gene expression, Human peripheral blood lymphocytes, Ionizing radiation

Introduction

All living creatures are exposed to natural sources of ionizing radiation during their lifetime. Natural radiation emanates from soil, synthetic materials, foods, drinks, cosmic rays, and internal radioactive sources (1, 2).

Since the discovery of X-ray and radioactive materials, exposure to man-made sources, especially medical ones, has increased. Both natural and man-made sources of ionizing radiation contribute to human exposure and consequently pose a possible risk to human health. A part of this issue is unavoidable, for example the natural background radiation. As the application of man-made sources expanded, so did the potential health risks and the public concerns (2). In recent years, the general population have received considerable doses of such radiations from diagnostic medical procedures such as nuclear medicine imaging, interventional fluoroscopy, and computed tomography (CT) (3). Therefore, it is important to investigate the potential health risks arising from high-dose diagnostic procedures.

Moreover, the number of cardiac diagnostic procedures involving the use of ionizing radiation has increased rapidly (4). Technetium-99m methoxyisobutylisonitrile (99mTc-MIBI) is used for myocardial perfusion imaging and 99mTc is obtained from 99mMo in a generator. The physical half-time of 99mTc is 6 hours and its biological half-time is 1 day (in terms of human activity and metabolism); it emits 140.5 KeV gamma rays. These characteristics make the isotope suitable for diagnostic scanning procedures. If 99mTc is used as a radiotracer and indicator of coronary blood flow, it must be bound to sestamibi or tetrofosmin and concentrated in the myocardium (5). 99mTc is taken up not only by myocardium, but also by the highly radiosensitive cells like human peripheral blood lymphocytes (6). The effective dose for most nuclear medicine procedures varies approximately from 0.3 to 20 mSv (3). Therefore, diagnostic nuclear medicine procedures are considered as low-dose examinations (5-100 mGy). Beir VII concluded that the available biological and biophysical data support a linear no-threshold (LNT) risk model for the low-dose radiation. According to this model, even the lowest dose of radiation may be a potential risk for human health (2).

The induced harmful biological effects in a cell after exposure to ionizing radiation is caused primarily by damages to DNA molecules (7). Upon exposure to radiation, cells normally react in three distinct ways, namely arresting cell cycle progression, repairing DNA lesions, or triggering the apoptosis response (8). Classical genetic analysis techniques were employed to identify an ever-expanding number of genes activated directly or indirectly by DNA repair, cell cycle progression, and apoptosis (9). DNA damage is investigated by cytogenetic techniques such as detection of chromosome abnormality or molecular techniques such as quantitative real-time PCR (qRT-PCR) (1).

In the current study, we sought to assess the effect of low-dose (below 10 mSv) gamma ray (99mTc-MIBI) on the expression of Xeroderma pigmentosum complementation group-A (XPA) and ferredoxin reductase (FDXR) genes in human peripheral blood lymphocytes using qRT-PCR.

Methods

Myocardial perfusion imaging procedure

In this study, patients underwent myocardial perfusion single-photon emission computed tomography (SPECT) with a 2-day protocol. A pharmacologic stress test was carried out with infusion of dipyridamole during 4 min. When the pharmacological effect reached the maximum level, 740 MBq of 99mTc-MIBI was injected intravenously, and 90 min later, stress gated imaging was performed in the supine/prone position. Rest images were obtained on the next day (24 h later), and the same technique was replicated.

Collection of blood samples

The participants included 20 volunteer patients (15 females, 5 males; mean age 55±11.68 years) who were referred to the Department of Nuclear Medicine in Ghaem Hospital of Mashhad, Iran for myocardial perfusion imaging. Patients with no history of radiation therapy, occupational exposure, genetic diseases, and smoking were entered into the study. Furthermore, a questionnaire was filled in for every patient in order to collect their history of medical and professional exposure to radiation.

We collected 3 ml whole blood samples in individual tubes containing ethylene diamine tetra-acetic acid (EDTA). The blood samples were obtained before the injection of 99mTc-MIBI (as the control) and 24 h after the first injection of the radiopharmaceutical. The patients received a 20-30 mCi dose of 99mTc-MIBI, according to their weights.

PBMNs separation and RNA extraction

PBMNs were isolated from the whole blood samples by density-gradient centrifugation using Ficoll (Cedarlane Labs, Canada) according to the manufacturer’s instructions, and then the lymphocytes were washed with phosphate-buffered saline (PBS). Immediately, TriPure reagent (Roche Applied Science, Germany) was utilized for isolation of total RNA, the same way as described in our previous study (10). In addition, to check the quality and purity of the RNA samples, 2% agarose gel electrophoresis was used.

cDNA synthesis

First-strand cDNA synthesis was performed using 1 µg of total RNA utilizing the RevertAid ™ First Strand cDNA Synthesis Kit (Fermentas, Germany) according to the manufacturer’s recommendations.

Real time PCR

Different primer sets were designed using Beacon Designer software, version 7 (PREMIER Biosoft International, Palo Alto, CA, USA), and their specificity was checked using BLAST analysis (NCBI, USA). For validation of the primers, amplification of a single product for each primer set was confirmed by endpoint PCR followed by DNA sequencing (Applied Biosystems, SEQLAB, Germany). The sequences of primers are presented in Table 1. The RT-PCR, using Syber Green method, was carried out on cDNA samples with the SYBR® Premix Ex Taq™ (Takara; Otsu Shiga, Japan) for XPA and FDXR. Beta-2 microglobulin (β2M) was applied as the reference gene to adjust and control the error in mRNA expression among the samples. In order to quantify the expression of each gene, five standards were prepared using 10-fold serial dilution of a concentrated standard sample for the gene of interest and the reference gene. RT-PCR was carried out in a MicroAmp® Fast Optical 48-well Reaction Plate (applied Biosystems, USA) with Microamp™Optical Adhesive Film (applied Biosystems, USA). The mixture in each well contained 7.5 µl of SYBR® premix Ex Taq™ II (2x), 5.1 µl of dH2O, 0.3 µl of ROX™ Reference Dye II (50x), 0.03 nM of forward and reverse primers, and 1.5 µl of diluted cDNA. The primer sequences are presented in Table 1.

Table 1.

The primer sequences

Gene Primer sequence (5’ to 3’)
B2M Forward: GTATGCCTGCCGTGTGAAC
Reverse: AACCTCCATGATGCTGCTTAC
FDXR Forward: CATAGCCACAACCATGACTGACAG
Reverse: CCACCTCCTCGGCATCCA
XPA Forward: CTGGAGGCATGGCTAATG
Reverse: CAAATTCCATAACAGGTC

The RT-PCR cycling included initial denaturation at 95° c for 10 min, followed by 40 cycles at 95° c for 10 s and at 60° c for 30 s. Relative standard curve method was applied for cDNA quantification. This approach provided highly accurate quantitative results. A melt curve analysis was also performed to verify if single products were produced. Finally, the relative quantity of the gene of interest was normalized to the relative quantity of β2M as the reference gene, and the relative expression of XPA and FDXR genes were determined, as well.

Statistical analysis

Wilcoxon matched-pair test and t-test were performed to compare the groups exposed to gamma rays of 99mTc before and after 99mTc-MIBI injection.

Results

Measurement of the received doses by the patients

It should be noted that the injected activity is always a compromise between the highest activity to obtain the best image quality and the lowest activity to keep the radiation doses as low as possible (11). Therefore, the administered activity determined the received dose per kilogram of body weight, which accordingly increased for obese patients (11, 12). The administered activity was considered approximately 25 mCi/70 kg body weight as the standard (4, 13). According to the International Commission on Radiological Protection (ICRP) publication 80, the effective dose for Cardiac rest-stress test (99mTc-sestamibi 2-day protocol) is 0.0085 mSv/MBq (0.0079 stress, 0.0090 rest) (3). The cumulative radiation dose is calculated by the equation suggested in Medical Internal Radiation Dose (MIRD) pamphlets:

graphic file with name AOJNMB-6-32-g001.jpg

Based on the above equation, the absorbed dose is proportional to A0 (initial administered activity) per body weight (Kg) (14). In the present study, A0/m and the effective absorbed dose for individual patients were roughly calculated. Patient’s data are presented in Table 2.

Table 2.

Patients’ data and received doses

Gender Age (year) A0/m Effective dose (mSv)
1 Female 75 0.350 5.7313
2 Female 39 0.243 3.9792
3 Female 52 0.266 4.3558
4 Female 60 0.247 4.2469
5 Female 57 0.333 5.7256
6 Male 52 0.261 4.7013
7 Female 59 0.275 4.9535
8 Male 44 0.288 6.1309
9 Female 70 0.350 6.0179
10 Female 40 0.225 3.8686
11 Female 30 0.326 8.0075
12 Female 52 0.323 5.5537
13 Female 52 0.294 4.8143
14 Female 62 0.303 4.9617
15 Male 56 0.285 4.6669
16 Female 79 0.466 8.0124
17 Female 57 0.294 4.8143
18 Female 53 0.268 4.8274
19 Male 53 0.268 4.8274
20 Male 60 0.370 6.0588

The received dose by the patients was within the range of 3.8686 to 8.0124 mSv. The median and mean of the doses were measured to be 4.8904 mSv and 5.3127 mSv, respectively.

Assessment of the gene expression level

The gene expression level was estimated for each individual patient separately. The expression levels of XPA and FDXR genes are exhibited in Figure 1. We observed up-regulation of XPA in 13 patients and down-regulation of XPA in 7 patients. Up-regulation of FDXR in 14 patients and down-regulation in 6 patients were also noticed. We did not recognize any specific patterns of gene expression in patients. However, in most cases, XPA and FDXR genes were up-regulated.

Figure 1.

Figure 1

Illustration of relative expression levels of XPA and FDXR genes for each patient following irradiation; when Log2 (RQ) is used, gene expression level is better demonstrated (31)

The results obtained by RT-PCR are relative quantifications (RQ). In interpretation of the gene expression levels, RQ > 1 represents up-regulation and 0 < RQ < 1 indicates down-regulation. In the present study, log2 (RQ) was used to measure the relative expression. Up-regulations were Log2 (RQ) transformed to positive values and down-regulations were transformed to negative values.

The expression levels of the two selected genes following irradiation by 99mTc gamma ray were different for each individual patient. Furthermore, we noted that gender and age played a role in the expression of the studied genes. Previous studies also indicated the effect of gender, age, diet, and life style on DNA damage (15, 16).

Gene expression

The results demonstrated a significant elevation in the expression level of FDXR gene (P=0.05) and a non-significant increase in XPA gene (P=0.1). The relative gene expressions before and after exposure to 99mTc gamma ray are shown in Figure 2. It seems that by expanding the number of samples, p-values reached significant levels.

Figure 2.

Figure 2

Relative expression levels of XPA and FDXR genes before and 24 h after exposure to gamma ray of 99mTc; up-regulation of XPA and FDXR levels was observed in human peripheral blood lymphocytes

Effect of gender and age

With regard to the mean age, there were two groups of patients below and above 55 years old in both males and females separately. There was no significant difference between the two age groups in the expression levels of the selected genes (P-value for XPA=0.18 and for FXDR=0.3). Furthermore, the expression level of FDXR and XPA for male and female patients were not different significantly (P-value for XPA=0.5 and for FDXR=0.6). Only non-significant differences between males above 55 years old and below 55 years old (P-value for XPA=0.3 and for FDXR=0.1) and females above 55 years old and below 55 years old (P-value for XPA=0.3and for FDXR=0.2) were observed. As the patients were divided according to their gender and age, the expression levels of both genes increased insignificantly (Figure 3).

Figure 3.

Figure 3

Relative expression of XPA and FDXR genes following irradiation considering patients’ gender and age; when Log2 (RQ) is used, gene expression level is better demonstrated

Discussion

In recent years, the application of nuclear medicine procedures as a diagnostic technique has increased sharply. The biological effects of the administered radiopharmaceuticals at molecular levels have been investigated by cytogenetic and chromosome aberration tests. Although some results were obtained through accredited methods, approaches with higher accuracy and sensitivity are still required. Recently, molecular techniques have been increasingly utilized and it seems that gene expression is an authentic process for genetic and biological studies. Development of gene expression is an appropriate method to assess the radiation sensitivity in an exposed person. Through gene expression, the researcher is able to estimate and report the dose (within a range of 0.3 to 0.5 Gy) more accurately and quickly compared to other laboratory tests used for dose estimation (17).

Most studies on gene expression and biological dosimetry were performed in low and high levels of exposure (10, 17, 18), and few of them discussed very low doses of ionizing radiation (18). In this study, variation of the gene expression level was measured by RT-PCR technique in order to assess the biological effect of in vivo irradiation of very low-dose gamma rays of 99mTc-MIBI.

One cellular response to DNA damage is the alteration of gene expression. Another response to DNA damage induced by ionizing radiation is the activation of repair mechanisms. Wood specified 130 known human DNA repair genes, one of which was XPA (19). XPA gene is associated with the nucleotide excision repair (NER) pathway. NER is able to remove bulky helix-distorting DNA lesions caused by physical and chemical carcinogens. XPA plays a critical role in positioning the repair machinery precisely around the lesions. If the repair of DNA lesion fails, some P53 target genes such as FDXR are up-regulated in the apoptosis pathway (20).

The genome is protected from oxidation by endogenous reactive oxygen species (ROS) through the tumor suppressor p53 (1). The increase in ROS levels is attributed to apoptosis induction. ROS are formed as a natural byproduct of respiration during the transfer of electrons in the mitochondria. In the mitochondria, FDXR transfers electrons from nicotinamide adenine dinucleotide phosphate (NADPH) to cytochrome P450 during oxidative phosphorylation. FDXR is an essential target gene for the p53 family that is induced by DNA damage and plays a pivotal role in apoptosis induction (21).

Fachin et al. used cDNA microarray technique to demonstrate the gene expression profiles in radiation workers exposed to chronic low-level radiation. In their study, alterations in 78 genes including XPA (as a DNA repair gene) were statistically significant. Their results also showed that XPA can be specified as a biomarker in chronic low-dose exposure (22). It is now possible to estimate the radiation dose after a specified time following exposure by a single biomarker (a single gene expression), which is a significant advantage for Biodosimetry (23). FDXR is a target gene that is up-regulated 24 h after irradiation (24) and is known as a highly sensitive gene to low and high doses of ionizing radiation (1, 25). Paul et al. concluded that FDXR is an inherent responsive gene 24 and 48 h after exposure to low doses of 137Cs; therefore, it may be applied for the prediction of low doses in biological dosimetry (25). Manning et al. also demonstrated the up-regulation of FDXR gene 24 h after exposure at doses as low as 10 mGy. A linear regression between the gene expression level and the absorbed dose was obtained that could be used for dose estimation (1).

The expression levels of the two genes were different for each patient even with the same effective dose of ionizing radiation. These results may reflect the inter-individual variability of the donors as indicated in our previous study (26). The development of gene expression is an appropriate method to assess the radiation sensitivity in an exposed person. It also provides information with regards to the probability of occurrence of long-term effects such as carcinogenesis (1).

In the present study, we performed in vivo irradiation of lymphocytes, and experimental arrangements were actually similar to the real-life conditions. The patients were selected for a specific imaging procedure and received the same radiation dose through radiopharmaceutical injection. Nevertheless, the observed response to the radiation exposure, which varied for each patient, is hinged upon the individual’s lifestyle and radiosensitivity. With respect to patients’ dose (measured approximately), patients no. 13 and 14 could be classified as radiosensitive and patient no. 11 as a radio-resistant since the expression levels of the two genes increased for radiosensitive patients and decreased for radio-resistant ones.

The results of this study revealed high expression levels of both genes in patients exposed to very low doses of ionizing radiation in in vivo conditions. Fachin et al. used cDNA microarray technique to demonstrate the gene expression profiles in radiation workers. In their study, alterations in 78 genes including XPA were statistically significant. The results of this study also showed that XPA can be specified as a biomarker in chronic low-dose exposure (22). The absorbed dose of in vivo irradiation was acquired from a range of very low doses of ionizing radiation. No significant up-regulation of XPA was observed in their study. In order to achieve a higher accuracy (smaller P-values), blood samples from a larger number of donors must be examined. Our results were not consistent with the findings of Fachin et al. The up-regulation of XPA is an indication of DNA repair following the exposure, which is confirmed by the chronic low-dose exposure of ionizing radiation.

FDXR is a target gene that is up-regulated 24 h after irradiation. It is known as a highly sensitive gene to low and high doses of ionizing radiation (1, 25). Paul et al. demonstrated that FDXR is an inherent responsive gene 24 and 48 h after exposure to low doses of 137Cs; therefore, it may be used for the prediction of low doses in biological dosimetry (25). Manning et al. demonstrated up-regulation of FDXR gene 24 h after exposure at doses as low as 10 mGy. A linear regression between gene expression level and absorbed dose was obtained, which may be utilized for dose estimation (1). The results of our study were in good agreement with those of the abovementioned studies (1, 23, 25). We demonstrated a significant induction of FDXR gene up-regulation through in vivo irradiation of human peripheral blood lymphocytes; therefore, FDXR gene has the potential to be used as a biomarker for estimation of absorbed doses from the uptake of radioactive sources in our body.

The relative gene expressions were compared in blood samples of male and female donors in different age groups; however, no significant differences were observed between males and females or the two age groups. These findings were consistent with the results of Vodicka et al. that examined DNA repair system in healthy donors. They showed that DNA repair did not depend on the age of donors, and there were no significant variations in the samples obtained from either of the genders (27). Additionally, Manning et al. demonstrated that the expression level of FDXR gene was independent of gender and age (1).

Several researchers also ascribed that clinical doses of 99mTc-MIBI could not induce significant DNA lesions or genetic damages (28, 29). In one study, chromosomal aberrations were used to estimate the very low doses absorbed due to exposure to 99mTc in nuclear medicine. Also, the chromosomal damage did not deteriorate 24 h after 99mTc-MIBI injection (29). In another study, the researchers found no increase in the frequency of induced micronuclei in lymphocytes following the exposure to low doses of 99mTc-MIBI (28).

Molecular techniques such as RT-PCR are more accurate and sensitive compared to techniques such as micronuclei or cytogenetic assays that were utilized in the previous studies. Earlier findings demonstrated a significant increase in the gene expression, implying that DNA damage could occur with a very low dose of 99mTc-MIBI. Our results also revealed the genetic hazardous effects of in vivo irradiation of 99mTc-MIBI in peripheral blood lymphocytes. In addition, the effects of 99mTc-MIBI on the possibility of chromosomal aberrations in human peripheral blood lymphocytes were studied through in vitro exposure to 99mTc. At doses above 10 cGy, an increase in the frequency of induced micronuclei and apoptosis induction was observed (6). The results also showed the up-regulation of FDXR gene following the irradiation by 99mTc-MIBI gamma ray. Moreover, apoptosis was observed following a very low-dose exposure (below 10 mSv).

The limitations of our study included small sample size and inaccurate measurement of doses of patients that were irradiated by 99mTc gamma rays. Internal dosimetry is an important challenge in nuclear medicine studies and MIRD formula is used for calculation of the received dose in patients. Most of the studies on biodosimetry were carried out on samples irradiated by external sources of ionizing radiation in which the received doses were clear; however, in internal radiation, the exact amounts of the received doses in patients were unknown.

Conclusion

Clinical doses that are normally used in nuclear medicine procedures are within the low-dose range (below 100 mSv) (3, 30). Therefore, assessing the biological damages in the irradiated cells demands a sensitive molecular technique like gene expression profiling using RT-PCR. In our study, the alteration in expression levels of XPA and FDXR genes was studied in irradiated lymphocytes that were exposed to in vivo 99mTc gamma rays. Our results revealed the DNA damages and confirmed LNT for dose response, which implies that even the lowest dose of ionizing radiation could cause genetic effects.

Acknowledgements

The authors would like to thank the Deputy of Research and Technology of Mashhad University of Medical Sciences for funding this work.

References

  • 1.Manning G, Kabacik S, Finnon P, Bouffler S, Badie C. High and low dose responses of transcriptional biomarkers in ex vivo x-irradiated human blood. Int J Radiat Biol. 2013;89(7):512–22. doi: 10.3109/09553002.2013.769694. [DOI] [PubMed] [Google Scholar]
  • 2.Morgan WF, Bair WJ. Issues in low dose radiation biology: the controversy continues. A perspective. Radiat Res. 2013;179(5):501–10. doi: 10.1667/RR3306.1. [DOI] [PubMed] [Google Scholar]
  • 3.Mettler FA, Jr, Huda W, Yoshizumi TT, Mahesh M. Effective doses in radiology and diagnostic nuclear medicine: a catalog. Radiology. 2008;248(1):254–63. doi: 10.1148/radiol.2481071451. [DOI] [PubMed] [Google Scholar]
  • 4.Einstein AJ, Moser KW, Thompson RC, Cerqueira MD, Henzlova MJ. Radiation dose to patients from cardiac diagnostic imaging. Circulation. 2007;116(11):1290–305. doi: 10.1161/CIRCULATIONAHA.107.688101. [DOI] [PubMed] [Google Scholar]
  • 5.Baggish AL, Boucher CA. Radiopharmaceutical agents for myocardial perfusion imaging. Circulation. 2008;118(16):1668–74. doi: 10.1161/CIRCULATIONAHA.108.778860. [DOI] [PubMed] [Google Scholar]
  • 6.Taibi N, Aka P, Kirsch-Volders M, Bourgeois P, Frühling J, Szpireer C. Radiobiological effect of 99mTechnetium-MIBI in human peripheral blood lymphocytes: ex vivo study using micronucleus/FISH assay. Cancer Letters. 2006;233(1):68–78. doi: 10.1016/j.canlet.2005.02.032. [DOI] [PubMed] [Google Scholar]
  • 7.Nosel I, Vaurijoux A, Barquinero JF, Gruel G. Characterization of gene expression profiles at low and very low doses of ionizing radiation. DNA Repair. 2013;12(7):508–17. doi: 10.1016/j.dnarep.2013.04.021. [DOI] [PubMed] [Google Scholar]
  • 8.Li L, Story M, Legerski RJ. Cellular responses to ionizing radiation damage. Int J Radiat Oncol Biol Phys. 2001;49(4):1157–62. doi: 10.1016/s0360-3016(00)01524-8. [DOI] [PubMed] [Google Scholar]
  • 9.Dainiak N, Schreyer SK, Albanese J. The search for mRNA biomarkers: global quantification of transcriptional and translational responses to ionising radiation. Br J Radiol. 2005;1:114–22. [Google Scholar]
  • 10.Azimian H, Bahreyni-Toossi MT, Rezaei AR, Rafatpanah H, Hamzehloei T, Fardid R. Up-regulation of Bcl-2 expression in cultured human lymphocytes after exposure to low doses of gamma radiation. J Med Phys. 2015;40(1):38–44. doi: 10.4103/0971-6203.152249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Hesse B, Tägil K, Cuocolo A, Anagnostopoulos C, Bardies M, Bax J, et al. EANM/ESC procedural guidelines for myocardial perfusion imaging in nuclear cardiology. Eur J Nucl Med Mol Imaging. 2005;32(7):855–97. doi: 10.1007/s00259-005-1779-y. [DOI] [PubMed] [Google Scholar]
  • 12.Eberlein U, Bröer JH, Vandevoorde C, Santos P, Bardiès M, Bacher K, et al. Biokinetics and dosimetry of commonly used radiopharmaceuticals in diagnostic nuclear medicine–a review. Eur J Nucl Med Mol Imaging. 2011;38(12):2269–81. doi: 10.1007/s00259-011-1904-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Corbett JR, Akinboboye OO, Bacharach SL, Borer JS, Botvinick EH, DePuey EG, et al. Equilibrium radionuclide angiocardiography. J Nucl Cardiol. 2006;13(6):e56–79. doi: 10.1016/j.nuclcard.2006.08.007. [DOI] [PubMed] [Google Scholar]
  • 14.Saha GB. Physics and radiobiology of nuclear medicine. New York: Springer Science and Business Media; 2006. [Google Scholar]
  • 15.Fenech M, Bonassi S. The effect of age, gender, diet and lifestyle on DNA damage measured using micronucleus frequency in human peripheral blood lymphocytes. Mutagenesis. 2011;26(1):43–9. doi: 10.1093/mutage/geq050. [DOI] [PubMed] [Google Scholar]
  • 16.Joksic G, Petrovic S, Ilic Z. Age-related changes in radiation-induced micronuclei among healthy adults. Braz J Med Biol Res. 2004;37(8):1111–7. doi: 10.1590/s0100-879x2004000800002. [DOI] [PubMed] [Google Scholar]
  • 17.Badie C, Kabacik S, Balagurunathan Y, Bernard N, Brengues M, Faggioni G, et al. Laboratory intercomparison of gene expression assays. Radiat Res. 2013;180(2):138–48. doi: 10.1667/RR3236.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Knops K, Boldt S, Wolkenhauer O, Kriehuber R. Gene expression in low-and high-dose-irradiated human peripheral blood lymphocytes: possible applications for biodosimetry. Radiat Res. 2012;178(4):304–12. doi: 10.1667/rr2913.1. [DOI] [PubMed] [Google Scholar]
  • 19.Wood RD, Mitchell M, Sgouros J, Lindahl T. Human DNA repair genes. Science. 2001;291(5507):1284–9. doi: 10.1126/science.1056154. [DOI] [PubMed] [Google Scholar]
  • 20.Boldt S, Knops K, Kriehuber R, Wolkenhauer O. A frequency-based gene selection method to identify robust biomarkers for radiation dose prediction. Int J Radiat Biol. 2012;88(3):267–76. doi: 10.3109/09553002.2012.638358. [DOI] [PubMed] [Google Scholar]
  • 21.Harms K, Nozell S, Chen X. The common and distinct target genes of the p53 family transcription factors. Cell Mol Life Sci. 2004;61(7-8):822–42. doi: 10.1007/s00018-003-3304-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Fachin AL, Mello SS, Sandrin-Garcia P, Junta CM, Ghilardi-Netto T, Donadi EA, et al. Gene expression profiles in radiation workers occupationally exposed to ionizing radiation. J Radiat Res. 2009;50(1):61–71. doi: 10.1269/jrr.08034. [DOI] [PubMed] [Google Scholar]
  • 23.Paul S, Amundson SA. Development of gene expression signatures for practical radiation biodosimetry. Int J Radiat Oncol Biol Phys. 2008;71(4):1236–44. doi: 10.1016/j.ijrobp.2008.03.043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Kabacik S, Mackay A, Tamber N, Manning G, Finnon P, Paillier F, et al. Gene expression following ionising radiation: identification of biomarkers for dose estimation and prediction of individual response. Int J Radiat Biol. 2011;87(2):115–29. doi: 10.3109/09553002.2010.519424. [DOI] [PubMed] [Google Scholar]
  • 25.Knops K, Boldt S, Wolkenhauer O, Kriehuber R. Gene expression in low-and high-dose-irradiated human peripheral blood lymphocytes: possible applications for biodosimetry. Radiat Res. 2012;178(4):304–12. doi: 10.1667/rr2913.1. [DOI] [PubMed] [Google Scholar]
  • 26.Azimian H, Bahreyni-Toossi MT, Rezaei AR, Rafatpanah H, Hamzehloei T, Fardid R. Up-regulation of Bcl-2 expression in cultured human lymphocytes after exposure to low doses of gamma radiation. J Med Phys. 2015;40(1):38–44. doi: 10.4103/0971-6203.152249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Vodicka P, Stetina R, Polakova V, Tulupova E, Naccarati A, Vodickova L, et al. Association of DNA repair polymorphisms with DNA repair functional outcomes in healthy human subjects. Carcinogenesis. 2006;28(3):657–64. doi: 10.1093/carcin/bgl187. [DOI] [PubMed] [Google Scholar]
  • 28.Hosseinimehr S, Ahmadi A, Beiki D, Mahmoudzadeh A, Babaei M, Habibi E. The radiotracer 99mTc-MIBI is not genotoxic for human peripheral blood lymphocytes at diagnostic radioactive dose. Gene Mol Res. 2009;8(3):923–8. doi: 10.4238/vol8-3gmr602. [DOI] [PubMed] [Google Scholar]
  • 29.Kelsey KT, Donohoe KJ, Memisoglu A, Baxter B, Caggana M, Liber HL. In vivo exposure of human lymphocytes to technetium-99 m in nuclear medicine patients does not induce detectable genetic effects. Mutat Res Letters. 1991;264(4):213–8. doi: 10.1016/0165-7992(91)90081-e. [DOI] [PubMed] [Google Scholar]
  • 30.Monson RR, Cleaver JE, Abrams HL. BEIR VII: health risks from exposure to low levels of ionizing radiation (report in brief) BEIR VII Report. 2005 [Google Scholar]
  • 31.Ghandhi SA, Ponnaiya B, Panigrahi SK, Hopkins KM, Cui Q, Hei TK, et al. RAD9 deficiency enhances radiation induced bystander DNA damage and transcriptomal. Radiat Oncol. 2014;9(1):206. doi: 10.1186/1748-717X-9-206. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Asia Oceania Journal of Nuclear Medicine and Biology are provided here courtesy of Asia Oceania Federation of Nuclear Medicine & Biology

RESOURCES