Ethmoid Bone ; injuries ; Facial Bones ; injuries ; Humans ; Nasal Bone ; injuries ; Orbital Fractures ; surgery ; Osteogenesis, Distraction ; Skull Fractures ; surgery

Adult ; Child, Preschool ; Craniofacial Dysostosis ; surgery ; Craniotomy ; methods ; Female ; Humans ; Male

Aim To investigate whether rosuvastatin induced reduction of atherosclerotic plaque was related to the expression of Sialyltransferase ( ST6 Gal-Ⅰ) in ApoE-/ - mice. Methods Six-weeks old ApoE-/ -mice fed with high fat were divided randomly into three groups: baseline group ( n=12 ) , control group ( n=12 ) and rosuvastatin group ( n =12 ) . Sixteen weeks later, control group was sacrificed. Serum and aortic intima were saved. Control group and rosuvastatin group were fed for seven weeks continually. Concentra-tions of serum lipids(TC, TG, LDL and HDL) were analyzed. Sections from the aortic root were examined by Hematoxylin-Eosin( HE) staining. The size of ath-erosclerotic lesion in each section was evaluated. Ex-pression of ST6 Gal-Ⅰ in aortic intima was detected by immunohistochemistry. Results Plasma TG and LDL-C, plaque areas and intimal thickness of control group were significant higher than those of baseline group ( P<0. 05 ) . Those results indicated that the AS model was successfully constructed. After seven weeks, the plaque areas and concentrations of serum lipids of rosu-vastatin group were obviously smaller than those of con-trol group(P<0. 05). The expression of ST6Gal-Ⅰin aortic root was decreased in control group compared to the baseline, and which was increased in control group compared to the rosuvastatin group. Conclusion Ro-suvastatin could inhibit the progression of atherosclero-sis, which might be related to the expression of ST6Gal-Ⅰ in aortic root.

Objective To investigate the correlation between cytochrome P450(CYP) 2C19 gene polymorphism with major adverse cardiovascular events(MACE) after PCI in the patients with coronary heart disease(CHD).Methods A total of 233 patients with CHD undergoing PCI in the cardiology department of our hospital from January 2014 to January 2015 were selected.All patients were given the standardized dual anti-platelet therapy of aspirin and clopidogrel.The occurrence situation of MACE within 1 year(unstable angina pectoris,cardiac death,in-stent restenosis,non-fatal myocardial infarction) was obtained by follow up.All patients were divided into the MACE group and non-MACE group.The PCR solubility curve was adopted to detect the CYP2C19 gene polymorphism.Results Among 233 cases of CHD,37 cases (15.88％) developed cardiovascular events and 196 cases (84.12 ％) did not develop vascular events;the age,sex,hypertension and diabetes mellitus had no statistical differences between the two groups(P＞0.05).The frequency of CYP2C19 * 1 in the included cases was 68.45％,which of CYP2C19 * 2 was 28.33％ and which of CYP2C19 * 3 was 3.22％.The extensive-metabolism,intermediate metabolism and slow metabolism types in the cardiovascular events group accounted for 5.41 ％,64.86 ％ and 29.73 ％ respectively,while which in the non event group were 59.69 ％,29.08％ and 11.22％ respectively,the CYP2C19 genotype distribution had statistically significant difference between the two groups(P＜0.05).The multivariate Logistic regression analysis showed that CYP2C19 intermediate metabolism type [OR 2.562,95％CI(2.825,7.350),P=0.021 0],slow metabolism type [OR 5.139,95％CI(1.289,5.232),P＜0.01],hypertension [OR 2.480,95 ％CI(1.079,5.698),P=0.032 4],smoking[OR 4.802,95％CI(1.082,18.371),P=0.029 0] were the independent risk factors for the occurrence of cardiovascular events in the patients with CHD.Conclusion CYP2C19 * 2 and CYP2C19 * 3 gene polymorphism are the independent risk factors for MACE occurrence after PCI in the patients with CHD.

Objective To study the relativity between pathology and CT diagnosis and CT classified types of the golioma of the brain.Methods Seventy cases of golioma confirmed by CT diagnosis and pathology by way of non-contrast CT scanning and enhanced scans were analysed in comparison the results of the pathology and CT appearances.Results (1)The accuracy rate of CT diagnosis was 85.7%;(2)having pointed out the CT classified types of the golioma of the brain a acording of CT appearances comibined with shape.Type Ⅰ was(low-tensity,non-enhancement types)16 cases,which can be only seen in Ⅰ and Ⅱ grade of astrocytoma oligodendroglioma,and the latter was often characterized by bending stripe-like calcification or cluster dot-like calcification,both of which occupy 33% of the total (3/9).Type Ⅱ was (ring-like enhanced patterns)13 cases,which often appeared in Ⅱ?Ⅲ?Ⅳ grade astrocytoma,charactenied by parietal-node which took up 53.8%(7/13).The pathology changes were mainly caused by the internal neceosis and a few by cystic changes.Type Ⅲ(nodular or mass-like enhancement) in 31 cases revealed by various types of goliomsas,which were typical CT appearances of medulloblastoma and ependymoma.Type Ⅳ(mixed types)in 10 cases had showed the CT appearances of malignant goliomas.(3)The results indicate that no or slight edema and mass effect as well as intensification were mainly seen in Ⅰ and Ⅱ grade astrocytomas,Ⅲ and Ⅳ grade astrocytomas were classified as the less serious and the serious both of which had distinctive differences.(4)Analyse the CT appearances of brain golioma in terms of tumor cytology had provided the pathology evidences for CT classified patterns.Conclusion CT appearances and CT classified patterns can reflect some pathologie characteristics and provide an important reference for astrocytoma pathology grading.

Medical therapy,education and scientific research are three functions of a hospital,in which education is one of the core tasks.The author thinks that we should strengthen the cultivation of the teachers;raise the level of the managements;increase the teaching input and reinforce the reform of education and scientific research so as to drive and improve the development of the hospital.

OBJECTIVETo analyse a special kind of Schisandra chinensis with the white fruit using ITS2 barcode at molecular levels.

METHODITS2 regions were sequenced bidirectionally. Sequence assembly and consensus sequence generation were performed using the CodonCode Aligner, MEGA 5.0 software was used to align the sequences. The ITS2 secondary structure was predicted using ITS2 web server, BLAST 1 method was used to identify the S. chinensis with the white fruit.

RESULTThe length of the ITS2 sequence was 231 bp. And the sample was identified as S. chinensis using the method of BLAST 1. Their mean interspecific genetic distance (K2P distance) among the populations of the S. chinensis with the white fruit and S. chinensis was far lower than the mean interspecific genetic distance between the S. chinensis and S. sphenanthera.

CONCLUSIONBy using ITS2 the S. chinensis with the white fruit was identified as S. chinensis, and the ITS2 barcode could be used to identify S. chinensis and S. sphenanthera.

DNA, Plant ; chemistry ; genetics ; DNA, Ribosomal Spacer ; chemistry ; genetics ; Fruit ; chemistry ; classification ; genetics ; Molecular Sequence Data ; Nucleic Acid Conformation ; Schisandra ; chemistry ; classification ; genetics ; Sequence Analysis, DNA ; Software

OBJECTIVETo observe the changes in expression of microRNA-203 and P63 in human epidermal stem cells and KCs, and to investigate their effects and significance in the epidermal proliferation and differentiation.

METHODS(1) Five normal foreskin tissue specimens were collected from 5 patients by circumcision in Department of Urinary Surgery of the First Affiliated Hospital of Nanchang University from March to June in 2013. Then single cell suspension was obtained by separating epidermis with trypsin digestion method. The cells were divided into quick adherent cells and non-quick adherent cells by type IV collagen differential adherent method. The biological characteristics of cells were observed by inverted phase contrast microscope immediately after isolation and on post culture day (PCD) 3. The expression of CD29, keratin 19, keratin 1, and keratin 10 was identified by immunocytochemical staining. The expression of microRNA-203 and mRNA of P63 was determined by real-time fluorescent quantitative RT-PCR. The protein expression of P63 was determined by Western blotting. Data were processed with t test and Pearson correlation analysis.

RESULTS(1) Immediately after isolation, quick adherent cells were small, round, and dispersed uniformly. On PCD 3, the cells adhered firmly, and they grew in clones. Immediately after isolation, non-quick adherent cells appeared in different shapes and sizes, and dispersed unevenly. On PCD 3, the cells adhered precariously and did not show clonal growth. Quick adherent cells showed positive expression of CD29 and keratin 19, while non-quick adherent cells showed positive expression of keratin 1 and keratin 10. Quick adherent cells were identified as epidermal stem cells, and non-quick adherent cells were identified as KCs. (2)The expression level of microRNA-203 in epidermal stem cells (0.74 ± 0.20) was lower than that in KCs (3.66 ± 0.34, t =16.582, P <0.001). The mRNA expression level of P63 in epidermal stem cells (4. 16 ± 0.28) was higher than that in KCs (2.90 ± 0.39, t =5. 850, P =0.001). The protein expression level of P63 in epidermal stem cells (1.42 ± 0.05) was higher than that in KCs (0.73 ± 0.03, t =26.460, P <0. 001). (3) The expression level of microRNA-203 was in significantly negative correlation with the expression levels of mRNA and protein of P63 (with r values respectively - 0. 94 and -0.98 , P values below 0.05).

CONCLUSIONSThe expression levels of microRNA-203 and P63 in human epidermal stem cells and KCs were significantly different, which might be related to the different characteristics of proliferation and differentiation of the cells.

Cell Differentiation ; Cells, Cultured ; Epidermis ; cytology ; growth & development ; Epithelial Cells ; cytology ; metabolism ; Gene Expression Profiling ; Gene Expression Regulation, Developmental ; Humans ; Integrin beta1 ; Keratin-10 ; genetics ; metabolism ; Keratin-19 ; genetics ; metabolism ; Keratinocytes ; Male ; Membrane Proteins ; genetics ; metabolism ; MicroRNAs ; genetics ; metabolism ; Stem Cells ; cytology ; metabolism

Background and purpose: Uridine diphosphoglucu-ronosyl transferase 1A1 (UGT1A1) is an important enzyme for metabolism of irinotecan. The activity of UGT1A1 enzyme was significantly affected by the gene polymorphism. This study aimed to investigate the correlation of UGT1A1*28 and *6 gene polymorphisms with irinotecan-based chemotherapy in colorectal cancer(CRC). Methods: Analysis of UGT1A1*28 and *6 gene polymorphisms was performed in 160 gastrointestinal cancer patients admitted to Zhongshan Hospital Fudan University from Apr. 2013 to Dec. 2013 by amplifying the gene fragments using PCR, STR and Sanger sequencing. Eighty-two cases with CRC treated with irinotecan were chosen to observe the adverse events during chemotherapy. The incidence of different genotypes was compared. Results:The distribution of the genotypes in 160 gastrointestinal cancer patients was as followed:UGT1A1*28 wild-type genotype TA6/6 (124, 77.5%), heterozygous genotype TA6/7 (33, 20.5%), and homozygous genotype TA7/7 (3, 2.0%);UGT1A1*6 wild-type genotype GG (105, 65.6%), heterozygous genotype GA (48, 30.0%), and homozygous genotype AA (7, 4.4%). In the 82 CRC cases, the incidences of grade 3 and 4 neutropenia in the patients carrying UGT1A1*28 (TA6/7+TA7/7 ) were higher than those in the WT genotype (TA6/6) (58.3%vs 0.0, P<0.001), and increased the total incidence of adverse events (76.0%vs 45.6%, P<0.001). There was no signiifcant relevance between UGT1A1*6 genotype, age, gender chemotherapy and adverse events. Conclusion:In the CRC cases with irinotecan-based chemotherapy, the UGT1A1*28 (TA6/7+TA7/7) genotype signiifcantly increased the risk of grade 3 and 4 neutropenia. Detecting UGT1A1 gene polymorphisms may guide individualized treatment and predict adverse events.

Objective To evaluate the value of renal parenchymal volume and thickness by non-contrast spiral CT in evaluating the differential glomerular filtration rate (GFR) for chronic obstructed kidneys, and to compare the correlations between the two morphologic indices of renal parenchyma and the GFR for chronic obstructed kidneys. Methods Seventy-one patients who had a diagnosis of unilateral chronic upper urinary tract obstruction were included in this analysis. (1) The renal parenchymal volume was mea-sured by non-contrast spiral CT. Both kidneys were scanned by non-contrast spiral CT. The renal parenchymal area of each section was marked manually. Renal parenchymal volume was calculated as the sum of renal parenchymal area multiplied by the width of each section. The volume percentage of obstructed kidney (%CTvol) was also calculated. (2) Renal parenchymal thickness was measured on the first and last non-contrast CT image levels from the anterior, posterior and lateral locations of the kidney that clearly contained the collecting system. The mean of these measurements was defined as the renal parenchymal thickness. The differential renal parenchymal thickness of the obstructed kidney (%CTt) was defined as the percentage of the obstructed renal parenchymal thickness to the total renal parenchymal thickness for both kidneys. GFR was determined with 99Tcm-DTPA dynamic imaging system by Gates method. The differential GFR for obstructed kidney (%GFR) was the GFR percentage of obstructed kidney to the total GFR for both kidneys. The Pearson relation test was carried out between the %CTvol, %CTt and the %GFR respectively. Results %CTvol and %CTt correlated well with %GFR in chronic obstructed kidneys among the 71 test group patients. Pearson correlation coefficient r was 0.80 (t=11.20, P＜0.05) and 0.66 (t=7.24, P＜0.05), respectively. The linear correlation equation respectively was %GFR=0.05+0.80×%CTvol (F=125.48, P＜0.05) and %GFR=0.12+0.66×%CTt (F=52.36, P＜0.05). Conclusions Renal parenchymal volume and thickness by non-contrast spiral CT might be used as clinical practical parameters to evaluate the differential GFR for chronic obstructed kidneys. Renal parenchymal volume is more accurate than renal parenchymal thickness.