Objective: To investigate the prevalence of metabolic diseases among residents in Moyu County, Hotan Prefecture, Xinjiang Uygur Autonomous Region, so as to provide the evidence for developing the control strategy for metabolic diseases. Methods: The demographic features, laboratory examinations and B-mode ultrasonographic examinations of the liver and gall bladder were collected from residents at ages of 18 years and older in Moyu County through the hospital-based medical records system. The prevalence of metabolic diseases was estimated, including obesity, hypertension, diabetes, dyslipidemia and fatty liver, and the factors affecting the development of metabolic diseases were identified using a multinomial logistic regression model. Results: Totally 281 803 residents were included in the study, including 129 549 men ( 49.97% ) and 152 254 women ( 54.03% ) and with a median age of 37.00 years ( interquartile range, 22.00 years ). The overall prevalence of metabolic diseases was 47.66%, and the prevalence rates of obesity, hypertension, dyslipidemia, fatty liver and diabetes were 25.72%, 24.77%, 12.30%, 12.05% and 5.49%, respectively, which appeared a tendency towards a rise with age ( χ2trend = 11 243.73, 14 086.41, 2 109.70, 6 631.22, and 2 011.15, all P<0.001 ). There were 73 811 residents suffering from one metabolic disease (26.19%), and 60 495 residents with two and more metabolic diseases ( 21.47% ). Multinomial logistic regression analysis showed that gender ( OR=0.870; 0.796 ), age ( OR: 1.703-8.701; 2.952-18.846 ), marital status ( OR: 1.397-1.845; 1.460-2.377 ) educational level ( OR: 0.891-0.937; 0.920-0.924 ), occupation ( OR: 1.177-1.270; 1.114-2.099), family history ( OR=1.136; 1.390), drinking frequency ( OR: 2.038; 1.395-2.574 ) and central obesity ( OR=3.448; 14.352 ) were factors affecting the development of one or more metabolic diseases. Conclusion The prevalence of metabolic diseases is high among residents in Moyu County. Men, the elderly, a low education level and unhealthy lifestyles may increase the risk of metabolic diseases.

Abstract Type 2 diabetes mellitus (T2DM) is characterized by long duration of disease and latent onset. Risk prediction models have shown potential for f early diagnosis and early treatment of diseases and formulation of targeted interventions. There is an increase in researches on risk prediction models for T2DM during the recent years, which provides the basis for precision tertiary prevention of T2DM; however, most studies suffer from problems of small sample size, complicated variables and difficulty in extensive applications. This review summarizes the risk prediction models for T2DM based on economic and easily available routine physical examination indicators, so as to provide insights into further studies on easy-to-perform and -popularize risk prediction models for T2DM.

Objective To investigate the relationship between glucokinase regulator protein ( GCKR) gene polymorphism rs780094 and hyperuricemia in Uygur in Xinjiang. Methods A case-control study including 1 026 patients with hyperuricemia and 1 030 normal subjects was conducted. All the subjects were genotyped for GCKR gene rs780094 by Sequenom MassARRAY system. The results of rs780094 genotype and allele frequency between hyperuricemia group and control group were compared. The associations of different genotypes of rs780094 with blood pressure, blood lipid, and blood glucose were analyzed. Logistic regression analysis was used to analyse the relationship between polymorphism of rs780094 and hyperuricemia in Uygur in Xinjiang. Results The distributions of three genotypes(G/G, A/G, A/A) and two allele frequency (G and A) in GCKR rs780094 revealed statistical difference ( P<0. 05 ) between hyperuricemia group and control group. A tendency toward association with hyperuricemia was observed under dominant model(OR=1. 295, 95%CI 1. 078~1. 554,P=0. 006) and recessive model(OR=1. 284, 95% CI 1. 024 ~1. 611,P=0. 030). The levels of systolic blood pressure, diastolic blood pressure, and total cholesterol were lower in hyperuricemia group with GCKR gene rs780094 loci GG genotype than those with AA+AG genotype. After adjusting confounding factors which had significant difference in the single factor analysis, logistic regression analysis showed that rs780094 A/A and A/G might be risk factors of hyperuricemia in Uygur in Xinjiang (OR=1. 355,95% CI 1. 094 ~1. 679,P=0. 005). Conclusion The GCKR rs780094 is associated with hyperuricemia in Uygur in Xinjiang. The A/A and A/G genotype of the GCKR rs780094 may increase the risk of hyperuricemia.

Objective To identify the potential association of transcription factor 7-like 2(TCF7L2 polymorphisms with type 2 diabetes mellitus in Uygur population of Xinjiang region .Methods In this case-control study ,819 ca-ses of type 2 diabetes mellitus patients were recruited in case group and 731 healthy individuals were selected as control.5 mL of blood sample were collected from each subject .The polymorphism was examined by matrix-assis-ted laser desorption/ionization-time of flight ( MALDI-TOF) and the OR value (95%CI) was evaluated by Logistic Regression Method to analyze the relationship between susceptibility to type 2 diabetes mellitus and different geno-types.Results In case group, the frequencies of TC, CC genotype and C allele at rs7901695 were higher than the corresponding frequencies in control group (P<0.05).The interaction between TCF7L2 and environment risk factors did not contribute to the occurrence of the type 2 diabetes mellitus .Conclusions The polymorphisms of rs7091695 in TCF7L2 but not rs7085532 in TCG7L2 may be associated with type 2 diabetes mellitus in Uygur pop-ulation in Xinjiang region .

The association between the polymorphism of SLC17A1 gene and hyperuricemia in Uyghur population in Xinjiang region was explored by Chi-square test.A total of 1 024 patients with hyperuricemia and 1 033 healthy volunteers were included.The genotype frequencies of CC,CT,and Tr in hyperuricemia and healthy controls were 24.9％,53.14％,21.96％ and 29.7％,47.52％,22.77％,respectively.There was statistical difference in SLC17A1 rs9467596 genotype frequencies between hyperuricemia cases and controls (x2 =7.492,P =0.024).CT genotype could increase the risk of hyperuricemia compared with CC genotype (OR =1.334,95％ CI 1.082-1.644).No statistical significance among the genotypes was found in age,body mass index,blood pressure,blood glucose,triglyceride,total cholesterol,High-density lipoprotein-cholesterol,low-density lipoprotein-Cholesterd,blood urea nitrogen,and Creatinine.The polymorphism of rs9467596 in SLC17A1 may be a genetic marker to assess risk of hyperuricemia among Xinjiang Uyghur population.

Objective To analyze the distribution characteristics of blood uric acid and its relationship with the risk factors of metabolic syndrome in Uygur.Methods The questionnaire,anthropometric measurements,and biochemical detection were carried out in 4 428 healthy Uygur subjects in Xinjiang Urumqi and Kashi hospitals.Results (1) The prevalences of hyperuricemia and metabolic syndrome were 21.3 ％ and 8.2％,respectively.With the increased blood uric acid level,the incidences of coronary heart disease,hyperglycemia,hypertension,central obesity,and dyslipidemia were raised.Blood pressure,blood glucose,HbA1c,triglyceride,total cholesterol,apolipoprotein A,low density lipoprotein-cholesterol,body mass index (BMI),and waist to hip ratio (WHR) were increased with increased uric acid level,while high density lipoprotein-cholesterol was decreased.(2) The incidence of hyperuricemia was increased further when the number of metabolic syndrome components was accumulated (P＜0.01).With the increase of uric acid level,the prevalence of metablic syndrome gradually raised (P＜0.01).(3) Multiple logistic regression analysis showed that WHR (OR =7.639,95 ％ CI 1.744-33.466),coronary heart disease (OR =2.784,95 ％ CI 1.718-4.510),hyperuricemia (OR =2.155,95 ％ CI 1.457-3.188),smoking (OR =1.437,95％ CI 1.071-1.927),family history of metabolic diseases (OR =1.333,95％ CI 1.044-1.703),occupational pressure (OR =1.290,95 ％ CI1.021-1.631),and BMI (OR =1.146,95 ％ CI 1.112-1.181) were the risk factors of metabolic syndrome.Exercise (OR=0.472,95％ CI0.370-0.604) and low salt diet (OR=0.793,95％ CI0.662-0.949) were the protective factors.Conclusion Serum uric acid level is correlated with a variety of metabolic parameters.With the increased uric acid level,the risk of multiple metabolic abnormality was increased.Comprehensive prevention and control should be taken for the reduction of the risk factors and much attention should be paid to the adverse effects of hyperuricemia.

Objective To investigate the correlation between TCF7L2 gene rs3814570 polymorphisms with type 2 diabetes mellitus(T2DM) in Uygur population of Xinjiang area.Methods By adopting the case-control study design,949 cases of T2DM were recruited as the observation group and 963 individuals Undergoing healthy physical examination were selected as the control group.The TCF7L2 gene polymorphism was detected by matrix-assisted laser desorption/ionization-time of flight(MALDI-TOF).Results The statistical differences in frequencies of CC,CT and TT genotypes and the C and T allele frequencies on TCF7L2 rs3814570 were found between the T2DM group and control group(P＜0.05).The risk of suffering from T2DM in the carriers of CT genotype was 0.331 times of that in the carriers of CC genotype(OR =0.331,95 ％ CI:0.166-0.661,P =0.002),the risk of suffering from T2DM in the carriers of TT genotype was 0.539 times of that in the carriers of CC genotype(OR=0.539,95％CI:0.348-0.834,P=0.005),and the risk of suffering from T2DM in the carriers of T allele was 0.501 times of that in the carriers of C allele(OR=0.501,95 ％ CI:0.377-0.664,P＜ 0.01).Among all subjects,the FPG level of the CT + TT genotype group on TCF7L2 gene rs3814570 locus was significantly lower than that of the CC genotype group(P＜0.05).Conclusion The rs3814570 locus in TCF7L2 gene may be associated with T2DM occurrence in Uygur population of Xinjiang area,the T allele and TT genotype might be protective factors of T2DM.

AIM: To investigate whether rs7903146 polymorphisms in transcription factor 7-like 2 (TCF7L2) gene are associated with susceptibility to type 2 diabetes mellitus (T2DM) in Chinese Uygur population.METHODS: In this case-control study, 935 cases of T2DM patients were recruited in T2DM group, and 971 healthy examination individuals were selected as normal control.The TCF7L2 gene polymorphism was detected by matrix-assisted laser desorption/ionization time-of-flight mass spectrum.RESULTS: Significant differences in the frequencies of CC, CT and TT genotypes and the frequencies of C and T alleles on TCF7L2 rs7903146 were found between T2DM group and control group(P<0.05).As compared with C allele, the patients with T allele had a significantly higher risk of T2DM with OR of 1.190 (95% CI: 1.034~1.371).As compared with CC genotype, the patients with CT genotype had a significantly higher risk of T2DM with OR of 1.374 (95% CI: 1.122~1.683), and the patients with CT+TT genotype had a significantly higher risk of T2DM with OR of 1.307 (95% CI: 1.090~1.567).The levels of fasting plasma glucose, serum creatinine and blood urea nitrogen were higher in all participants with CT+TT genotype of rs7903146 than those with CC genotype, which showed a significant difference (P<0.05).CONCLUSION: The polymorphisms of rs7903146 in TCF7L2 gene may be associated with T2DM in Uygur population from Xinjiang region.The T allele and CT genotype of rs7903146 are the risk factors for T2DM.

Objective To investigate the difference of Alzheimer-associated neuronal thread protein ( AD7c-NTP) level and related factors among different symptom types of schizophrenia. Methods The con-centrations of AD7c-NTP in urine of 30 patients with positive symptoms,46 patients with negative symptoms and 24 controls were detected by enzyme linked immunosorbent assay( ELISA) . Positive and negative symp-tom scale ( PANSS) was used to assess schizophrenia patients. The correlation analysis was conducted be-tween the urine AD7c-NTP and demographic factors. Results The level of AD7c-NTP in urine of patients with negative symptoms((0. 88±0. 93) ng /ml)was higher than that in the patients with positive symptoms ((0. 50±0. 22)ng/ml,P<0. 05). The level of AD7c-NTP of in urine female patients((1. 16±1. 12)ng/ml) was higher than that in the male patients((0. 57± 0. 49)ng/ml,P<0. 01). AD7c-NTP levels in patients with a course of disease of more than 100 months((0. 96±0. 96)ng/ml) were higher than those in patients with a course of disease of less than 100 months((0. 60±0. 59)ng/ml,P<0. 05). The level of AD7c-NTP in pa-tients over 35 years old((0. 94±0. 96)ng/ml) were higher than that in patients under 35 years old((0. 62±0. 62)ng/ml,P<0. 05). The level of AD7c-NTP in patients with MMSE score of 0-22 points((0. 92±0. 80) ng/ml) were higher than that in patients with score of 23-29 points((0. 62±0. 74)ng/ml,P<0. 05). Before admission(at least 2 months),the level of AD7c-NTP in patients without persisting in taking drugs((0. 99± 0.95)ng/ml) was higher than that in patients with persisting in taking drugs((0. 62±0. 65)ng/ml,P<0. 05). The level of AD7c-NTP in schizophrenic patients was positively correlated with age and course of dis-ease( r=0. 29,0. 26,P<0. 05) ,and negatively correlated with smoking history and mini-mental state exami-nation( MMSE) ( r=-0. 13,-2. 41,P<0. 05) . Conclusion There is a difference in AD7c-NTP levels be-tween patients with positive and negative symptoms of schizophrenia. Gender,age,course of disease and anti-psychotics are important factors that affect AD7c-NTP levels in patients with schizophrenia.

Objective: The purpose of the present study was to evaluate of continuous metabolic syndrome score (cMetS) in screening metabolic syndrome (MetS) and to determine the cut-off values in a representative sample of Xinjiang population aged 15 to 18 years old. Methods: A stratified cluster sampling was used to select participants aged 15-18 years from 13 cities in Xinjiang. cMetS was calculated by summing up the Zscores of standardized waist circumference, mean arterial pressure, high-density lipoprotein, triglyceride, and fasting blood glucose by age and gender. Results: Totally 16.3% of subjects were overweight, and 5.2% were obese. The proportion of overweight and obesity in males was significantly higher than that in females (18.1% vs 13.8%)(6.0% vs. 4.1%)(χ2=15.36，7.89，P<0.05). The prevalence of total MetS was 6.1%, with 6.6% and 5.4% for men and women, respectively. There was a correlation between cMetS and MetS components, and the average cMetS value increased with increasing MetS component(P<0.05). The total cut-off value of cMetS was 0.99 (sensitivity 68.0%, specificity 80.7%), and the area under the ROC curve was 84.9%. The cMetS scores for boys and girls were 0.80 and 1.48, respectively. Conclusion Compared with MetS, cMetS shows more accuracy in screening MetS among youth aged 15-18 years in both gender.