Publications by authors named "Chong-Jian Wang"

18 Publications

  • Page 1 of 1

The association between the dietary pattern in abdominal obesity based on visceral fat index and dyslipidemia in The Henan Rural Cohort Study.

Br J Nutr 2021 Sep 13:1-23. Epub 2021 Sep 13.

Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, PR China; (S.P.); (J.G.);

The present study aimed to explore the association between dietary patterns in abdominal obesity obtained by reduced-rank regression (RRR) with visceral fat index (VFI) as a dependent variable and dyslipidemia in rural adults in Henan, China. A total of 29538 people aged 18-79 were selected from the Henan Rural Cohort Study. RRR analysis was used to identify dietary patterns; logistic regression analysis and restricted cubic spline regression models were applied to analyze the association between dietary patterns in abdominal obesity and dyslipidemia. VFI was used as a mediator to estimate the mediation effect. The crude prevalence of dyslipidemia in rural Henan was 34.2%. The dietary pattern in abdominal obesity was characterized by high carbohydrate and red meat intake and low consumption of fresh fruits, vegetables, milk, and dairy products. After full adjustment, the highest quartile of dietary pattern scores was significantly associated with an increased risk of dyslipidemia (OR: 1.33, 95% CI: 1.23-1.44, P-trend<0.001), there was a non-linear dose-response relationship between them (Poverall-association<0.001, Pnon-lin-association=0.022). The result was similar in dose-response between the dietary pattern scores and VFI. The indirect effect partially mediated by VFI was significant (OR: 1.07, 95% CI: 1.06-1.08). VIF explained approximately 53.3% of the odds of dyslipidemia related to the dietary pattern. Abdominal obesity dietary pattern scores positively affected VFI and dyslipidemia; there was a dose-response in both relationships. Dyslipidemia progression increased with higher abdominal obesity dietary pattern scores. In addition, VFI played a partial mediating role in relationship between abdominal obesity dietary pattern and dyslipidemia.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1017/S0007114521003640DOI Listing
September 2021

Health-related quality of life and its related factors in coronary heart disease patients: results from the Henan Rural Cohort study.

Sci Rep 2021 Mar 3;11(1):5011. Epub 2021 Mar 3.

School of Nursing and Health, Zhengzhou University, No. 100 Kexue Road, Zhengzhou, 450001, People's Republic of China.

The aims were to identify the possible influencing factors of health-related quality of life (HRQoL) and its domain-specific scores in patients with coronary heart disease (CHD). A total of 1247 patients with CHD from the Henan Rural Cohort Study (n = 39,259) were included in this study. The Chinese version of the European Quality of Life Five Dimension Five level scale (EQ-5D-5L) and Visual Analogue Scale (VAS) were used to evaluate HRQoL in patients with CHD. Tobit regression, generalized linear models and binary logistic regression were applied to determine the potential factors influencing the EQ-5D utility, as well as each domain, and the VAS. CHD patients had lower per capita monthly actual income, and higher rates of diabetes mellitus, stroke, anxiety and poor sleep quality, which significantly decreased EQ-5D index and VAS scores. In addition, sex, older age, education, not having a spouse, ever drinking alcohol, a high-fat diet, physical activity, hypertension and depression affected the various domain-specific EQ-5D scores in CHD patients. CHD patients in rural areas have a lower HRQoL. Factors associated with the EQ-5D index, including each domain, and the VAS need attention. CHD patients in rural areas need to be managed systematically.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41598-021-84554-6DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7930256PMC
March 2021

Prevalence and risk factors of chronic kidney disease and diabetic kidney disease in a central Chinese urban population: a cross-sectional survey.

BMC Nephrol 2020 04 3;21(1):115. Epub 2020 Apr 3.

Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Research Institute of Nephrology, Zhengzhou University, Jianshe Road No.1, Zhengzhou, 450052, Henan, People's Republic of China.

Background: This study was conducted to evaluate and update the current prevalence of and risk factors for chronic kidney disease (CKD) and diabetic kidney disease (DKD) in a central Chinese urban population.

Methods: From December 2017 to June 2018, a total of 5231 subjects were randomly enrolled from 3 communities in 3 districts of Zhengzhou. CKD was defined as estimated glomerular filtration rate (eGFR) < 60 mL/min.1.73m or urinary albumin to creatinine ratio ≥ 30 mg/g (albuminuria). Diabetic subjects with systolic blood pressure > 140 mmHg, albuminuria or an eGFR less than 60 mL/min/1.73 m were classified as having DKD. Participants completed a questionnaire assessing lifestyle and relevant medical history, and blood and urine specimens were taken. Serum creatinine, uric acid, total cholesterol, triglycerides, low-density lipoprotein, high-density lipoprotein and urinary albumin were assessed. The age- and sex-adjusted prevalences of CKD and DKD were calculated, and risk factors associated with the presence of reduced eGFR, albuminuria, DKD, severity of albuminuria and progression of reduced renal function were analyzed by binary and ordinal logistic regression.

Results: The overall adjusted prevalence of CKD was 16.8% (15.8-17.8%) and that of DKD was 3.5% (3.0-4.0%). Decreased renal function was detected in 132 participants (2.9, 95% confidence interval [CI]: 2.5-3.2%), whereas albuminuria was found in 858 participants (14.9, 95% CI: 13.9-15.9%). In all participants with diabetes, the prevalence of reduced eGFR was 6.3% (95% CI = 3.9-8.6%) and that of albuminuria was 45.3% (95% CI = 40.4-50.1%). The overall prevalence of CKD in participants with diabetes was 48.0% (95% CI = 43.1-52.9%). The results of the binary and ordinal logistic regression indicated that the factors independently associated with a higher risk of reduced eGFR and albuminuria were older age, sex, smoking, alcohol consumption, overweight, obesity, diabetes, hypertension, dyslipidemia and hyperuricemia.

Conclusions: Our study shows the current prevalence of CKD and DKD in residents of Central China. The high prevalence suggests an urgent need to implement interventions to relieve the high burden of CKD and DKD in China.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1186/s12882-020-01761-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118942PMC
April 2020

Polymorphisms in CYP2R1 Gene Associated with Serum Vitamin D Levels and Status in a Chinese Rural Population.

Biomed Environ Sci 2019 Jul;32(7):550-553

Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China.

View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.3967/bes2019.072DOI Listing
July 2019

Association of TCF7L2 and GCG Gene Variants with Insulin Secretion, Insulin Resistance, and Obesity in New-onset Diabetes.

Biomed Environ Sci 2016 Nov;29(11):814-817

Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, Henan, China; Department of Preventive Medicine, Shenzhen University; Shenzhen University Health Science Center, Shenzhen 518060, Guangdong, China.

This cohort study was designed to evaluate the association of transcription factor 7-like 2 (TCF7L2) and proglucagon gene (GCG) variants with disordered glucose metabolism and the incidence of type 2 diabetes mellitus (T2DM) in a rural adult Chinese population. A total of 7,751 non-T2DM participants ⋝18 years old genotyped at baseline were recruited. The same questionnaire interview and physical and blood biochemical examinations were performed at both baseline and follow-up. During a median 6 years of follow-up, T2DM developed in 227 participants. After adjustment for potential contributory factors, nominally significant associations were seen between TT genotype and the recessive model of TCF7L2 rs7903146 and increased risk of T2DM [hazard ratio (HR)=4.068, 95% confidence interval (CI): 1.270-13.026; HR=4.051, 95% CI: 1.268-12.946, respectively]. The TT genotype of rs7903146 was also significantly associated with higher fasting plasma insulin level and the homeostasis model assessment of insulin resistance in case of new-onset diabetes. In addition, the TCF7L2 rs290487 TT genotype was associated with abdominal obesity and the GCG rs12104705 CC genotype was associated with both general obesity and abdominal obesity in case of new-onset diabetes.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.3967/bes2016.108DOI Listing
November 2016

Reliability and validity of the Chinese version of the HIV Treatment Adherence Self-Efficacy Scale in mainland China.

Int J STD AIDS 2017 07 12;28(8):829-837. Epub 2016 Oct 12.

1 Department of Social Medicine and Health Service Management, College of Public Health, Zhengzhou University, Zhengzhou, China.

The aim of this study was to translate the HIV Treatment Adherence Self-Efficacy Scale (HIV-ASES) and evaluate its reliability and validity in people living with HIV (PLWHIV) in mainland China. The original HIV-ASES was translated from English into Chinese and adapted for cultural context according to cross-cultural adaptation guidelines. A cross-sectional survey investigating 1742 PLWHIV receiving antiretroviral treatment was conducted. Exploratory factor analysis with varimax rotation confirmed the presence of two factors with an accumulated contribution rate of 58.357%. Furthermore, confirmatory factor analysis revealed the model's goodness-of-fit index. The comparative fit index was greater than 0.9 and the overall efficacy of the model was satisfactory. The Cronbach α coefficient of the questionnaire was 0.876 (95% CI: 0.868-0.885), and the correlation coefficient of each item and the total was 0.536-0.660 ( P < 0.01). The Chinese version of the HIV-ASES has high reliability and validity; however, the individual item requires some adjustment.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1177/0956462416673922DOI Listing
July 2017

The genetic polymorphisms in vitamin D receptor and the risk of type 2 diabetes mellitus: an updated meta-analysis.

Asia Pac J Clin Nutr 2016 ;25(3):614-24

Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China. Email:

Background And Objectives: Vitamin D receptor (VDR) genetic polymorphisms are considered to be associated with type 2 diabetes mellitus (T2DM), but this is inconclusive. The aim of this study is to quantify the association between polymorphisms of BsmI and FokI in the VDR gene and T2DM risk through literature review.

Methods And Study Design: Original articles published from 1999 to June 2014 were discovered through PubMed, ISI Web of Science, China National Knowledge Infrastructure, Chinese Wanfang Database, and the Chinese Biomedical Literature Database. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated with software STATA version 12.0.

Results: Twenty-three articles containing 30 case-control studies were included. The association between the BsmI polymorphism and T2DM was weak in two genetic models (Bb vs bb and BB+Bb vs bb). The subgroup analysis showed that this association was only found in the studies with a small sample size (<200). A strong association between FokI polymorphism and T2DM indicated that this gene polymorphism was possibly a risk factor for T2DM (ff vs FF: OR=1.57, 95% CI: 1.28-1.93, p<0.001; Ff vs FF: OR=1.54, 95% CI: 1.31-1.81, p<0.001; ff+Ff vs FF: OR=1.57, 95% CI: 1.35-1.83, p<0.001), especially in Chinese populations.

Conclusion: More reliable conclusions about associations between VDR genetic polymorphisms and T2DM will depend on studies with larger sample size and by ethnicity.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.6133/apjcn.092015.12DOI Listing
September 2016

Resting heart rate as a marker for identifying the risk of undiagnosed type 2 diabetes mellitus: a cross-sectional survey.

BMC Public Health 2014 Oct 9;14:1052. Epub 2014 Oct 9.

Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou 450001, Henan, PR China.

Background: Fast resting heart rate might increase the risk of developing type 2 diabetes mellitus (T2DM). However, it is unclear whether resting heart rate could be used to predict the risk of undiagnosed T2DM. Therefore, the purposes of this study were to examine the association between resting heart rate and undiagnosed T2DM, and evaluate the feasibility of using resting heart rate as a marker for identifying the risk of undiagnosed T2DM.

Methods: A cross-sectional survey was conducted. Resting heart rate and relevant covariates were collected and measured. Fasting blood samples were obtained to measure blood glucose using the modified hexokinase enzymatic method. Predictive performance was analyzed by Receiver Operating Characteristic (ROC) curve.

Results: This study included 16, 636 subjects from rural communities aged 35-78 years. Resting heart rate was significantly associated with undiagnosed T2DM in both genders. For resting heart rate categories of <60, 60-69, 70-79, and ≥80 beats/min, adjusted odds ratios for undiagnosed T2DM were 1.04, 2.32, 3.66 and 1.05, 1.57, 2.98 in male and female subjects, respectively. For male subjects, resting heart rate ≥70 beats/min could predict undiagnosed T2DM with 76.56% sensitivity and 48.64% specificity. For female subjects, the optimum cut-off point was ≥79 beats/min with 49.72% sensitivity and 67.53% specificity. The area under the ROC curve for predicting undiagnosed T2DM was 0.65 (95% CI: 0.64-0.66) and 0.61(95% CI: 0.60-0.62) in male and female subjects, respectively.

Conclusions: Fast resting heart rate is associated with an increased risk of undiagnosed T2DM in male and female subjects. However, resting heart rate as a marker has limited potential for screening those at high risk of undiagnosed T2DM in adults living in rural areas.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1186/1471-2458-14-1052DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4210587PMC
October 2014

Relationship between resting pulse rate and lipid metabolic dysfunctions in Chinese adults living in rural areas.

PLoS One 2012 7;7(11):e49347. Epub 2012 Nov 7.

Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.

Background: Resting pulse rate has been observed to be associated with cardiovascular diseases. However, its association with lipid metabolic dysfunctions remains unclear, especially resting pulse rate as an indicator for identifying the risk of lipid metabolic dysfunctions. The purpose of this study was to examine the association between resting pulse rate and lipid metabolic dysfunctions, and then evaluate the feasibility of resting pulse rate as an indicator for screening the risk of lipid metabolic dysfunctions.

Methods: A cross-sectional survey was performed, and 16,926 subjects were included in this study from rural community residents aged 35-78 years. Resting pulse rate and relevant covariates were collected from a standard questionnaire. The fasting blood samples were collected and measured for lipid profile. Predictive performance was analyzed by receiver operating characteristic (ROC) curve.

Results: A significant correlation was observed between resting pulse rate and TC (r = 0.102, P = 0.001), TG (r = 0.182, P = 0.001), and dyslipidemia (r = 0.037, P = 0.008). In the multivariate models, the adjusted odds ratios for hypercholesterolemia (from 1.07 to 1.15), hypertriglyceridemia (1.11 to 1.16), low HDL hypercholesterolemia (1.03 to 1.06), high LDL hypercholesterolemia (0.92 to 1.14), and dyslipidemia (1.04 to 1.07) were positively increased across quartiles of resting pulse rate (P for trend <0.05). The ROC curve indicated that resting pulse rate had low sensitivity (78.95%, 74.18%, 51.54%, 44.39%, and 54.22%), specificity (55.88%, 59.46%, 57.27%, 65.02%, and 60.56%), and the area under ROC curve (0.70, 0.69, 0.54, 0.56, and 0.58) for identifying the risk of hypercholesterolemia, hypertriglyceridemia, low HDL hypercholesterolemia, high LDL hypercholesterolemia, and dyslipidemia, respectively.

Conclusion: Fast resting pulse rate was associated with a moderate increased risk of lipid metabolic dysfunctions in rural adults. However, resting pulse rate as an indicator has limited potential for screening the risk of lipid metabolic dysfunctions.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0049347PLOS
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3492277PMC
June 2013

Development and evaluation of a simple and effective prediction approach for identifying those at high risk of dyslipidemia in rural adult residents.

PLoS One 2012 28;7(8):e43834. Epub 2012 Aug 28.

Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.

Background: Dyslipidemia is an extremely prevalent but preventable risk factor for cardiovascular disease. However, many dyslipidemia patients remain undetected in resource limited settings. The study was performed to develop and evaluate a simple and effective prediction approach without biochemical parameters to identify those at high risk of dyslipidemia in rural adult population.

Methods: Demographic, dietary and lifestyle, and anthropometric data were collected by a cross-sectional survey from 8,914 participants living in rural areas aged 35-78 years. There were 6,686 participants randomly selected into a training group for constructing the artificial neural network (ANN) and logistic regression (LR) prediction models. The remaining 2,228 participants were assigned to a validation group for performance comparisons of ANN and LR models. The predictors of dyslipidemia risk were identified from the training group using multivariate logistic regression analysis. Predictive performance was evaluated by receiver operating characteristic (ROC) curve.

Results: Some risk factors were significantly associated with dyslipidemia, including age, gender, educational level, smoking, high-fat diet, vegetable and fruit intake, family history, physical activity, and central obesity. For the ANN model, the sensitivity, specificity, positive and negative likelihood ratio, positive and negative predictive values were 90.41%, 76.66%, 3.87, 0.13, 76.33%, and 90.58%, respectively, while LR model were only 57.37%, 70.91%, 1.97, 0.60, 62.09%, and 66.73%, respectively. The area under the ROC cure (AUC) value of the ANN model was 0.86±0.01, showing more accurate overall performance than traditional LR model (AUC = 0.68±0.01, P<0.001).

Conclusion: The ANN model is a simple and effective prediction approach to identify those at high risk of dyslipidemia, and it can be used to screen undiagnosed dyslipidemia patients in rural adult population. Further work is planned to confirm these results by incorporating multi-center and longer follow-up data.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0043834PLOS
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3429495PMC
February 2013

[Multilevel regression analysis on region cluster and risk factors of hypertension in the Chinese adult population].

Zhonghua Liu Xing Bing Xue Za Zhi 2009 Jul;30(7):716-9

Department of Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China.

Objective: To analyze the region cluster and risk factors of hypertension in the Chinese adult population and to explore the application of multilevel regression model in the risk factors of hypertension.

Methods: Multi-stage random sampling technique was used to choose 15,540 individuals aged 35-74 years from 10 regions in China. Two-level logistic regression models were fitted under MLwiN 2.02 software.

Results: The region cluster of hypertension existed and variance portion coefficient was 3.1%. After adjusting for the age and gender, overall obese people (BMI> or =28 kg/m2) were 4.50 (95% CI: 4.00-5.06) times, overweight people (BMI=24-27.9 kg/m2) were 2.26 (95% CI: 2.07-2.46) times more likely to be hypertensive as compared with those of normal BMI (18.5-23.9 kg/m2), and those centrally obesive people (Waist circumference > or =85 cm in male or 80 cm in female) were 2.62 (95% CI: 2.42-2.83) times more likely to be hypertensive as compared with those of normal WC. The age-and gender-adjusted odds ratios (ORs) of triglyceride (TG), serum total cholesterol (TC), glucose, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and drinking alcohol were 2.10 (95% CI: 1.89-2.33), 2.08 (95% CI: 1.84-2.35), 1.85 (95% CI: 1.60-2.14), 1.58 (95% CI: 1.38-1.81), 1.49 (95% CI: 1.32-1.69) and 1.15 (95% CI: 1.05-1.27), respectively.

Conclusion: The prevalence of hypertension was not only affected by individual risk factors, such as obesity, drinking alcohol, abnormal glucose and serum lipids profile, but also affected by the geographic environment where people resided in. Population-and risk factors targeted strategies, proved a promising way to reduce individual risk of hypertension in the primary prevention of hypertension.
View Article and Find Full Text PDF

Download full-text PDF

Source
July 2009

Association between two functional polymorphisms of insulin-like growth factor binding protein 3 and colorectal cancer risk in a Chinese population.

J Toxicol Environ Health A 2009 ;72(11-12):706-11

Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.

Circulating levels of insulin-like growth factor binding protein 3 (IGFBP3) are modulated by functional variants of IGFBP3 and therefore may be associated with higher risk of colorectal cancer development. However, few studies have investigated the role of IGFBP3 polymorphisms in colorectal cancer in Chinese individuals. In this study, two common polymorphisms of IGFBP3 were determined by the Taqman genotyping platform in 202 Chinese colorectal cancer cases diagnosed between 2006 and 2008 and 212 cancer-free population controls. Data showed that the genotype distribution of G2133C (rs2864746), but not A-202C (rs2864744), was significantly different between cancer cases and controls. Unconditional logistic regression analyses revealed that participants carrying the G2133C GC heterozygote or CC homozygote had a significant 1.55-fold increased risk of colorectal cancer development in an allele dose-responsive manner. However, there was no evidence of a dose-effect relationship between number of variants and risk for CRC occurrence. Data suggest that the exon 1 G2133C missense variant of IGFBP3 may be a susceptibility factor for colorectal cancer in Chinese subjects. Larger studies are warranted to validate our findings in a Chinese population.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1080/15287390902841060DOI Listing
June 2009

[The application of artificial neural networks to predict individual risk of essential hypertension].

Zhonghua Liu Xing Bing Xue Za Zhi 2008 Jun;29(6):614-7

Department of Epidemiology and Health Statistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.

Objective: To establish models to predict individual risk of essential hypertension and to evaluate and explore new forecasting methods.

Methods: To select data of 3054 community residents from an epidemiological survey and divided them into 4:1 (2438 cases and 616 cases) ratio in accordance with the balance of age and sex to filter variables, and to establish, test and evaluate the prediction models. Using artificial neural network (ANN) and logistic regression analysis to establish models while applying ROC to evaluate the prediction models.

Results: Forecast results of the models applying to the test set proved that ANN had lower specificity but better veracity and sensitivity than logistic regression. In particular, the Youden's index of the ANN2 came up to 0.8399 which was distinctly higher than the other two models. When the area was under the ROC curve of logistic regression, the ANN, and ANN2 models equaled to 0.732 +/- 0.026, 0.900 +/- 0.014 and 0.918 +/- 0.013 respectively, which proved that the ANN model was better in the prediction about individual health risk of essential hypertension.

Conclusion: Our results showed that ANN method seemed better than logistic regression in terms of predicting the individual risk from hypertension thus supplied a new method to solve the forecast of individual risk.
View Article and Find Full Text PDF

Download full-text PDF

Source
June 2008

Association of platelet-derived growth factor-D gene polymorphism with ischemic stroke in a Chinese case-control study.

Blood Coagul Fibrinolysis 2008 Jul;19(5):415-9

Department of Epidemiology and Statistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.

Stroke is a multiple genetic disease. Platelet-derived growth factor-D has been found to be involved in the pathogenesis of atherosclerosis, suggesting possible association between platelet-derived growth factor-D and the development of ischemic stroke. However, little information on the relationship between platelet-derived growth factor-D and stroke is currently available. The aim of this study was to investigate the association between platelet-derived growth factor-D genetic variation and the risk of ischemic stroke in a Chinese population. We conducted a case-control study with 309 ischemic stroke patients and 309 sex and age (<5 years)-matched controls. DNA was extracted from the whole blood of each participant. Platelet-derived growth factor-D C/G polymorphism at position +3166 (rs7950273) was detected by TaqMan SNP genotyping assay. Overall, the combined rates of platelet-derived growth factor- D CG and GG are 51% in patients in contrast with 46% in controls. There were no significant differences in the genotype frequencies of platelet-derived growth factor-D +3166 polymorphisms between the patients and controls with history or family history of hypertension or diabetes (P = 0.770). However, among people without history or family history of hypertension or diabetes, platelet-derived growth factor-D CG/GG is significantly more frequently expressed in patients (60%) than in controls (43%) (odds ratio 1.97; 95% confidence interval 1.19-3.26). This significant association holds after adjustment for age, sex, smoking and alcohol intaking (odds ratio 1.86; 95% confidence interval 1.11-3.10) (P = 0.018). Our study found that the G allele of rs7950273 of the platelet-derived growth factor-D gene is associated with higher risk of ischemic stroke in a Chinese population without history or family history of hypertension or diabetes. Future studies with larger and ethnically diverse populations are needed to further evaluate the platelet-derived growth factor-D polymorphism and stroke association, as well as its pathophysiological mechanisms.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1097/MBC.0b013e3283049650DOI Listing
July 2008

[Evaluation on the highly active anti-retroviral therapy in 181 AIDS patients].

Zhonghua Liu Xing Bing Xue Za Zhi 2007 Jul;28(7):704-7

Department of Epidemiology and Health Statistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.

Objective: To study the clinical effect under highly active anti-retroviral therapy (HAART) in AIDS patients and for improving the curative effect and prognosis.

Methods: Epidemiological method was used from five aspects to describe the post-treatment clinical symptoms of 181 AIDS patients in Suizhou, and to evaluate the change of virus load and immune function of 79 AIDS patients. Data was doubly recorded by Epi Data and database was set up by SPSS 13.0 for analysis.

Results: The effective powers of anomal-fever, cough, diarrhoea, lymphadenectasis, weight drop, erythra, mycotic infection were 81.39%, 85.00%, 84.62%, 81.89%, 82.86%, 66.07% and 45.45% respectively. CD4+ T lymphocyte count rose obviously after treatment, with an averag of 276 x 10(6) cells/ml (65 x 10(6)-824 x 10(6) cells/ml), an 129 x 10(6) cells/ml increase in three months and was 294 x 10(6) cells/ml (102 x 10(6)-750 x 10(6) cells/ml) in six months. The count change of CD4+ T lymphocyte between 3 months and 6 months did not show sigificant difference. The number of deaths among drug withdrawals was 14, with a case fatality rate as 29.79%; while the number of deaths among non-drug withdrawals was 3, with the case fatality rate as 2.24%.

Conclusion: Results through this study showed that HAART could obviously improve the clinical symptom of AIDS patients, and to increase the number of virus load. Improving the compliance could also reduce the case fatality rate.
View Article and Find Full Text PDF

Download full-text PDF

Source
July 2007

[Exploration of talent training on emergency response system in China].

Zhonghua Yi Xue Za Zhi 2007 Sep;87(35):2455-7

View Article and Find Full Text PDF

Download full-text PDF

Source
September 2007

[Relation between peptide YY 3-36 and dietary induced obesity resistant rats].

Wei Sheng Yan Jiu 2006 Jan;35(1):49-51

Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, China.

Objective: To study the plasma concentration of peptide YY3 - 36 (PYY3-36) and the expression levels of PYY mRNA of ileum and colon in dietary induced obesity (DIO) and dietary induced obesity resistant (DIO-R) rats and the relation between PYY3-36 and DIO-R rats.

Methods: Thirty-six female SD rats were randomly divided into high-fat diet group (n = 27) and chow fed control group (n = 9), after 13 weeks of either a high-fat diet or chew fed diet, the high-fat diet group was subdivided into DIO and DIO-R group according to the final body weight. Weight gain, caloric intake, the concentration of PYY3-36 and the expression levels of PYY mRNA were measured and compared.

Results: The total caloric intake of DIO-R rats was lower than DIO rats (P < 0.01), while no significant difference was found between DIO-R and control rats (P > 0.05). The concentration of PYY3-36 and the expressions of PYY mRNA of ileum and colon in DIO-R rats were higher significantly than that of the DIO and control rats (P < 0.01), while no significant difference was found between DIO and control group (P > 0.05), except that PYY mRNA of ileum was advanced in DIO group (P < 0.01).

Conclusion: On the High-fat diet, SD rats showed different susceptibility to obese and energy intake, increased levels of PYY3-36 and PYY mRNA might be related to dietary induced obesity resistant.
View Article and Find Full Text PDF

Download full-text PDF

Source
January 2006

[UCPs and PPARgamma2 mRNA in diet induced obesity resistant rats].

Wei Sheng Yan Jiu 2005 Sep;34(5):556-8

Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.

Objective: To explore the expression of uncoupling proteins (UCP) and peroxisome proliferator activated receptorgamma2 (PPARgamma2) mRNA in white adipose of high-fat diet induced obesity resistant rats.

Methods: Thirty-six female SD rats were randomly divided into high-fat diet group (n = 27) and chow fed control group (n = 9), and given either high-fat diet or chow for thirteen weeks. Then the high-fat diet group was subdivided into Dietary Induced Obesity (DIO) and Dietary Induced Obesity Resistant (DIO-R) group according to the final body weight. Basic parameters, fasting blood glucose (FBG), blood lipid levels were measured and compared. Reverse transcription-polymerase chain reaction (RT-PCR) was used to measure the expression of UCP2, UCP3, and PPARgamma2 mRNA in white adipose.

Results: Adipose deposits, body fat percent, TC, and TG conceration of both DIO-R and DIO groups were significantly higher than those in control group, while body weight, body fat percent and TG level were significantly lower in DIO-R than DIO rats. The expression of UCP2 and UCP3 mRNA in white adipose of DIO-R rats were significantly higher than those of DIO and control group. The expression of PPARgamma2 mRNA in white adipose of DIO-R group was significantly lower than that in DIO group.

Conclusion: High-fat diet induced obesity resistance were closely associated with the increased UCP2, UCP3, and decreased PPARgamma2 mRNA in white adipose.
View Article and Find Full Text PDF

Download full-text PDF

Source
September 2005
-->