OBJECTIVETo establish the dose-effect curve between TCR MF and ionizing radiation.

METHODSPeripheral lymphocytes were collected from 8 healthy adults (4 males and 4 females) and cultured in vitro with 12 well culture plates. They were stimulated by PHA-P and IL-2 after exposed to different doses of irradiation (0.00 - 8.00 Gy) and cultured for 7 d. The dose-effect curve was established after measuring TCR MF using flow cytometry. Also, using the same method, we separated and cultured the peripheral lymphocytes collected from 16 radiotherapy cancer patients, whose radiation styles and doses were different, and then measured TCR MF to estimate the whole equivalent dose of radiotherapy patients through the dose-effect curve. Peripheral blood was collected and cultured, chromosome aberration (dicentric and ring) was determined under microscope to estimate irradiation dose.

RESULTSThe relationship of dose-effect between the TCR MF and ionizing radiation (0.00 - 8.00 Gy) was well, the curve of large dose group (2.00 - 8.00 Gy), low dose group (0.00 - 1.00 Gy) and 0.00 - 8.00 Gy dose group were met with the quadratic polynomial model, the equation was TCR MF = -32.8579 + 20.5436D + 0.6341D(2), TCR MF = 1.796 + 0.017D + 5.155D(2) and TCR MF = -0.6229 + 6.305D + 0.6919D(2), respectively. D was the radiation dose (Gy). Using the established curve and the chromosome aberration method to estimate the systemic exposure dosage, the average relative deviation was 16.8%.

CONCLUSIONThe curve established by the TCR gene mutation analysis technology can be applied to exposure dose estimation of victims in ionization radiation accidents.

Case-Control Studies ; Dose-Response Relationship, Radiation ; Female ; Genes, T-Cell Receptor ; genetics ; Humans ; Male ; Mutation Rate ; Radiation, Ionizing ; Receptors, Antigen, T-Cell ; genetics ; radiation effects

OBJECTIVETo explore the reliability of humping the forehead and temple by en block frontal temporal silicone .

METHODSMake wax mold by piling up wax slices layer by layer according to the rang of depressing of the forehead and temple, the section being humped and the hight need to be projected. Order the silicone block according to the dimension of the wax mold. Make the implant from the silicon block. Under local anaesthesia dissection under the superficial temporal fascia and galea through forehead and two temporal incisions. Implant the silicon through the middle incision.

RESULTSTotal 18 cases in this group were followed up for 3-12 months. Wound healed primarily without infection. I case with early blood effusion cured after aspiration. l case with later clear effusion cured after aspiration ad injection of prednisone in to the capsular. The frontal temporal contours were satisfactory . No outline of the implant was seen.

CONCLUSIONIt is safety and satisfied to hump the forehead and temple by en block frontal temporal silicone.

Adult ; Female ; Forehead ; surgery ; Head ; surgery ; Humans ; Middle Aged ; Petrous Bone ; surgery ; Prosthesis Implantation ; Rhytidoplasty ; methods ; Silicones

OBJECTIVETo investigate the effect of 0.1 Gy X-ray irradiation on the gene expression profiles in normal human lymphoblastoid cells using gene microarray and to explore the possible mechanism of the biological effect of low-dose irradiation.

METHODSThe NimbleGen 12×135 K microarray corresponding to 45033 genes was used to analyze the gene expression profiles in AHH-1 cells cultured for 6 h and 20 h after 0.1 Gy X-ray irradiation. A gene was identified as the differentially expressed gene if the ratio between its expression levels in irradiation group and control group was higher than 2 or lower than 0.5. RT-PCR and real-time PCR were used to confirm some differentially expressed genes.

RESULTSThere were 760 up-regulated genes and 1222 down-regulated genes in the cells at 6 h after 0.1 Gy X-ray irradiation, while there were 463 up-regulated genes and 753 down-regulated genes at 20 h after 0.1 Gy X-ray irradiation; there were 92 differentially expressed genes in common. The expression of GADD45A, CDKN2A, and Cx43 measured using gene microarray was confirmed by RT-PCR and real-time PCR.

CONCLUSIONLow-dose irradiation can affect the expression of many functional genes, which provides a basis for the research on the mechanism of radiation damage.

Cell Line ; Humans ; Lymphocytes ; radiation effects ; Oligonucleotide Array Sequence Analysis ; Radiation Dosage ; Radiation, Ionizing ; Transcriptome ; X-Rays

OBJECTIVE: To analyze the relationship of the intima-media thickness( IMT) of carotid artery and accumulated radiation dose in intervention workers,and to evaluate the threshold dose leading to the abnormal IMT. METHODS: By cluster random sampling,155 intervention workers were selected as intervention group and 620 workers from the radiology departments were selected as control group. All workers came from 27 hospitals in Shandong Province. The workers in these two groups were given radiological occupational health check-up. Their accumulated dose of radiation was collected and IMT was measured by ultrasound. Multiple linear regression analysis was used to analyze the dose-effect between the IMT and the accumulated dose. RESULTS: In the intervention group,IMT was( 0. 70 ± 0. 11) mm,the abnormal rate of IMT was 4. 5%( 7 /155). The IMT in the control group was( 0. 68 ± 0. 09) mm,and the abnormal rate of IMT was 3. 9%( 24 /620). The abnormal rate of IMT between the two groups had no statistical significance( P > 0. 05). The multiple linear regression equation was y = 0. 007 x_1+ 0. 001 x_2- 0. 098 x3+ 0. 223( y means IMT,mm; x_1 means age,x_2 means accumulated radiation dose,mSv; x3 means gender),and the threshold doses deduced in all ages corresponding to 1 mm of IMT showed that the threshold dose was higher with younger age,and the larger accumulated radiation dose was needed to cause the IMT abnormity in the female than in the male workers. CONCLUSION: The IMT is positively correlated with the accumulated radiation dose in radiation workers,and the threshold dose of abnormal IMT could be estimated by the linear regression equation.