Objective To assess the effectiveness of carotid endarterectomy(CEA) in the surgical treatment of stenosis of carotid artery.Methods From December 2003 to June 2006,28 patients of carotid arteriosclerotic stenosis received CEA and vascular repair or plasty(VP).Before and after operation,the hemodynamic parameters including inner diameter of internal carotid canal,blood flow rate,blood flow and blood flow rate of middle cerebral artery of 28 patients were measured by color Doppler flow imaging(CDFI) and transcranial Doppler(TCD).Results The inner diameter of internal carotid canal in all patients recovered to normal range.Blood flow rate and blood flow after operation were improved.No postoperative complications occurred,and no aneurysms formed.Conclusion CEA is one of the effective ways to manage carotid stenosis and angioplasty can improve the long-term efficiency.

Objective To establish a single nucleotide polymorphisms genotyping (SNP) method for a convenient, accurate, and routine analysis of clinical samples. Methods Based on the design of oligonucleotide probe, the assay was performed through three steps:the conjunction of the detection probe, universal amplification, labeling and ELISA reaction. The genotype of each SNP was revealed by reading signals of each set of reaction tubes. This assay was applied to detect sixty-two plasma samples of lung cancer for circulating DNA for three SNPs of EGFR, c.2573T＞G(L858R), EGFR, c.2582T＞G＞T(G719C). Results were compared with those obtained by direct sequencing. Results The heterozygote mutation was identified for L858R by both methods, although no mutation was detected for L861Q and G719C. Six samples were identified as heterozygotes with the new method, and only two samples were unambiguously identified as heterozygotes by the direct sequencing. Two additional samples could not be identified as heterozygotes because the peak of mutant allele was very low compared with that of wild allele. Conclusion The developed method enabled accurate identification of SNP in a convenient manner, and which is adapted to routine analysis from heterogeneous samples unambiguously.

Objective To investigate prevalence and risk factors of peripheral artery disease (PAD), metabolic syndrome (MS) and peripheral artery disease complicated with metabolic syndrome among Kazakh adults lived in Xinjiang Yili prefecture. Methods Four-stage cluster sampling method was used to select adults aged 35 years and over for the study from six cities and prefectures of Xinjiang. All the participants were interviewed with questionnaire to collect their demographic characteristics. Physical checksup and blood biochemical measurements were performed for all of them, as well as blood pressure was measured in their lower legs and arms to calculate ankle brachial pressure index ( ABPI), a ratio of the blood pressure in the lower legs to that in the arms. Only data of Kazakh adults in Yili prefecture were analyzed in this paper, including prevalence and risk factors for PAD and MS, as well as their relationship.The patients with PAD were divided into two groups, one complicated with MS and the other without it Logistic regression analysis was used to identify potential risk factors for PAD and MS and their combination.Results A total of 1365 adult Kazakh people were surveyed. Prevalence of MS was 23.7 percent, 30.4 percent for men and 19.0 percent for women, respectively, and that of PAD was 9. 4 percent, 7.0 percent for men and 11.0 percent for women, respectively. Mean age in patients of PAD complicated with MS was older than that in those without MS (t=-5.348, P＜0.01). Risk of PAD complicated with MS in Kazakh people associated with gender ( men), age, systolic pressure, diastolic pressure and blood glucose level.(P＜0.05). Conclusions Both prevalence of PAD and MS are significantly higher among Kazakh people in Yili prefecture of Xinjiang, and increase with age. Prevalence of PAD is significantly higher in those with MS than that in those without MS. Risk factors of PAD complicated with MS include gender(men), age,systolic pressure, diastolic pressure and blood glucose level.

Objective To establish a simple,rapid and sensitive nucleotide polymorphisms genotyping method in order to conduct the routine clinical detections under the simple laboratory condition by this method.Methods Based on the ligase-agarose gel electrophoresis,the oligonucleotide detection probes of mutational sites was designed.The detection underwent the detection probe connecting,purification and universal amplification,finally the mutation genotypes of detection sites were judged by the ap-peared bands in the agarose gel electrophoresis(AGE).With the 3 SNP sites EGFR,c.2573T>G(L858R),EGFR,c.2582T> A (L861Q)and EGFR,c.2155 G>T(G719C)in epidermal growth factor receptor(EGFR)gene as the detection objects,the plasmid template and plasma circulating DNA sample in lung cancer were performed the detection.Results The established method was easy to operate with higher specificity and sensitivity.After 20-30 cycles of PCR amplification,the genotype of detection sites was clearly estimated according to the amplification band.When detecting the mixed alleles in the heterogeneous sample,minimal 2.5%mutation alleles could be detected out.This method and the direct sequencing method could respectively detect 6 cases and 2 cases of heterozygotes mutation in the SNP site of L858R among 62 samples of lung cancer.Conclusion The established detection method for SNP genotyping is suitable to the routine mutation detection on the heterogeneous samples under the simple laboratory condi-tion.

Objective To research a simple and sensitive K-ras gene mutations detection method in order to be suitable for the routine mutation detection.Methods The corresponding detection locus oligonucleotide probe was designed.By the connection,amplification,labeling and ELISA reaction in probe,the mutation locus genotype was determined by the ELISA reaction detection value.With the six point mutations of G12S,G12R,G12C,G12D,G12A and G12V in 12 codons of K-ras gene as the detection objects,the plasma circulation DNA sample in 72 cases of lung cancer was detected,then the results were compared with those obtained by the direct sequencing.Results Three samples were identified as the G12S,G12R and G12A mutatins by the established method.But no K-ras mutations were detected in the samples by using the direct sequencing,indicating that the direct sequencing had lower sensitivity and was not suitable for the mutation detection of heterogeneous samples such as circulating DNA.Conclusion The simple and sensitive K-ras gene mutation detection method is established and can conduct the routine mutation detection for the heterogeneous samples.

Objective To study prevalence of metabolic syndrome (MS) , it's components and hyperuricemia (HUA) among Kazakh people in Xinjiang Uighur autonomous region, China. Methods A cross-sectional survey was conducted among Kazakh people aged 35 years and over in seven prefectures of Xinjiang, including Urumqi, Kelamayi (Karamay) , Fukang, Tulufan (Turpan), Hetian (Hotan) , Aletai (Altay) and Yili during October 2007 to March 2010, with a four-stage cluster sampling, the total sample size were 4094. Through the methods of questionnaire survey, physical examination, biochemical examination and so on, to study prevalence of MS in HUA and it's components by blood biochemical examinations. Results A total of 3915 Kazakh adult people, equal number of men and women, were surveyed, with a response rate of 95. 63 percent. Overall prevalence of HUA was 3. 96 percent( 155/3915 ) , 6.02 percent for men and 2. 03 percent for women(114/1894 and 41/2021) , respectively, with statistically significant difference ( P ＜ 0.05 ). Prevalence of MS was 39.47 percent in those with HUA and 22. 53 percent in those without HUA (45/114 and 401/1780), respectively (P ＜ 0.01). Among women, prevalence of MS was 46. 34 percent in those with HUA and 16. 11 percent in those without HUA( 19/41 and 319/1980), respectively (P＜0. 01). Prevalence of high blood pressure, hypertriglyceridemia, lower blood high-density lipoprotein cholesterol (HDL-C) and central obesity were 59.65 percent, 42.11 percent,32.46 percent, 7. 89 percent and 79. 82 percent in those with HUA, respectively, with prevalence of hyperglyceridemia and central obesity significantly higher than in those of non-HUA ( P ＜ 0. 05 ). Among women, prevalence high blood pressure, hypertriglyceridemia, lower blood HDL-C and central obesity were 48.78 percent, 39.02 percent, 41.46 percent, 2.44 percent and 78.05 percent, respectively, in HUA group, with prevalence of hyperglyceridemia, lower blood HDL-cholesterol and central obesity significantly higher than in those of non-HUA ( P ＜ 0. 05 ). Conclusions Prevalence of MS was higher in Kazakh people suffered with HUA than those without HUA, as well as prevalence of components of MS, suggesting that prevention and treatment for HUA is necessary, which can reduce MS and its components in the region.

Transgenic 5 × FAD mice are APP/PS1 transgenic mice carrying five familial Alzheimer's disease(AD)gene mutations.Beta-amyloid precursor protein(amyloid precursor protein,APP)expression is related to the K670N/M671L(Swedish),1716V(Florida),and V7171(London)mutations,and presenilin 1(PSI)is affected by the M146L and L286V mutations.5 × FAD mice express high levels of β-amyloid in the brain at 1.5 months old,and neuritic plaques began to appear at 2 months old.The pathological phenotypes of 5 × FAD mice include amyloid plaque aggregation,neuronal loss,gliosis,and memory dysfunction,while their biological characteristics include changes in the formation of brain β-amyloid plaques,hyperphosphorylation of Tau protein,synaptic dysfunction,neuroinflammatory response,mitochondrial dysfunction,blood-brain barrier injury,neuronal injury,endoplasmic reticulum stress,and eye lesions.As a classic animal model of AD,5 × FAD transgenic mice can simulate the neuropathological process and behavioral manifestations of late-stage AD in humans,and these mice are thus widely used in research into the pathogenesis of AD and the development of new drugs.In this review,we summarize the model construction,biological background,and biological characteristics of 5 x FAD transgenic mice,and the development and application of drugs for the prevention and treatment of AD,to provide references for the application of 5 x FAD transgenic transgenic mice in AD research.

Objective: To provide an automatic method for segmentation and diameter measurement of type B aortic dissection (TBAD). Materials and Methods: Aortic computed tomography angiographic images from 139 patients with TBAD were consecutively collected. We implemented a deep learning method based on a three-dimensional (3D) deep convolutional neural (CNN) network, which realizes automatic segmentation and measurement of the entire aorta (EA), true lumen (TL), and false lumen (FL). The accuracy, stability, and measurement time were compared between deep learning and manual methods. The intra- and inter-observer reproducibility of the manual method was also evaluated. Results: The mean dice coefficient scores were 0.958, 0.961, and 0.932 for EA, TL, and FL, respectively. There was a linear relationship between the reference standard and measurement by the manual and deep learning method (r = 0.964 and 0.991, respectively). The average measurement error of the deep learning method was less than that of the manual method (EA, 1.64% vs. 4.13%; TL, 2.46% vs. 11.67%; FL, 2.50% vs. 8.02%). Bland-Altman plots revealed that the deviations of the diameters between the deep learning method and the reference standard were -0.042 mm (-3.412 to 3.330 mm), -0.376 mm (-3.328 to 2.577 mm), and 0.026 mm (-3.040 to 3.092 mm) for EA, TL, and FL, respectively. For the manual method, the corresponding deviations were -0.166 mm (-1.419 to 1.086 mm), -0.050 mm (-0.970 to 1.070 mm), and -0.085 mm (-1.010 to 0.084 mm). Intra- and inter-observer differences were found in measurements with the manual method, but not with the deep learning method. The measurement time with the deep learning method was markedly shorter than with the manual method (21.7 ± 1.1 vs. 82.5 ± 16.1 minutes, p < 0.001). Conclusion The performance of efficient segmentation and diameter measurement of TBADs based on the 3D deep CNN was both accurate and stable. This method is promising for evaluating aortic morphology automatically and alleviating the workload of radiologists in the near future.