1.Association of serum uric acid with metabolic syndrome and its components
Ying HU ; Lixin SHI ; Qiao ZHANG ; Nianchun PENG ; Xingxia WANG
Chinese Journal of Endocrinology and Metabolism 2014;30(9):765-768
Objective To explore the association of serum uric acid (UA) with metabolic syndrome (MS) and its components.Methods A total of 1 512 inhabitants aged 20 years old and above in Zhaiji community of Guiyang urban areas were investigated from November 2009 to February 2010 by adopting stratified cluster sampling method (634 males and 878 females).All subjects were asked to fulfill the questionnaires and to measure the height,weight,waist circumstance (WC),and blood pressure ; and to undertake oral glucose tolerance test.Venous blood samples were drawn to measure UA,fasting plasma glucose,2 h postprandial plasma glucose,triglyceride (TG),total cholesterol,high density lipoprotein cholesterol,low density lipoprotein cholesterol,and fasting insulin.Results (1) Age,body mass index (BMI),WC,TG,and blood pressure,and homeostasis model assessment of insulin resistance (HOMA-IR) increased with UA (all P<0.05).(2) UA was positively associated with the risk of MS (P< 0.05).After adjusting for age,sex,BMI,waist-to-hip ratio (WHR),and HOMA-IR,the risk of MS in individuals with the highest uric acid quartiles was significantly increased compared to those with the lowest quartile (OR =2.86,95 % CI 1.70-4.84,P<0.05),and this finding was especially evident in females (OR=2.80,95% CI 1.51-5.17,P<0.05).(3) UA was strongly related to WC (OR =1.76,95% CI0.95-3.27,P<0.05),blood pressure (OR =1.66,95 % CI 1.13-2.43,P<0.05),and TG (OR =2.80,95% CI 1.97-3.96,P<0.05) after adjustment for age,sex,BMI,WHR,and HOMA-IR.Conclusion The prevalence of MS increased with UA.Higher UA level may be an independent risk factor for MS.
2.The correlation of serum thyroid-stimulating hormone with metabolic syndrome and its components
Ying HU ; Lixin SHI ; Xueming SUN ; Qiao ZHANG ; Nianchun PENG
Chinese Journal of Endocrinology and Metabolism 2013;29(7):560-562
A total of 1512 adult inhabitants were randomly recruited in Zhaiji district of Guiyang city in September2009.The levels of triglyceride (TG),systolic blood pressure,diastolic blood pressure,and the prevalences of abdominal obesity and hypertension increased significantly in the subclinical hypothyroidism group conpared to the euthyroid group (P<0.05).The prevalences of high TG,low high density lipoprotein-cholesterol,and metabolic syndrome (MS) in the subgroup Ⅳ were higher than the subgroup Ⅰ (P<0.05).Correlation analysis revealed that TSH was positively related to TG (P<0.05).Logistic regression demonstrated that TSH was a risk factor for MS.Either in the euthyroid or total subjects serum TSH levels in the MS group were significantly higher than those in non-MS group(P<0.05).
3.Correlation of serum thyroid-stimulating hormone with dyslipidemia in subjects with normal thyroid function
Ying HU ; Lixin SHI ; Qiao ZHANG ; Nianchun PENG
Chinese Journal of Endocrinology and Metabolism 2016;(1):15-18
Objective To explore the relationship between serum thyroid-stimulating hormone ( TSH) and dyslipidemia. Methods A total of 1 512 inhabitants in Zhaiji community of Guiyang urban areas were investigated from November 2009 to February 2010 by adopting stratified cluster sampling method, and 1 428 subjects were included in the present study. All subjects were asked to fulfill the questionnaires and to pass a physical examination. The vein blood samples were taken for determination of serum TSH, fasting plasma glucose (FPG), insulin, as well as blood lipid levels. Results Triglyceride ( TG ) , total cholesterol, high density lipoprotein cholesterol, and low density lipoprotein cholesterol levels were significantly increased in woman with subclinical hypothyroidism(SCH) compared to those with euthyroid(all P<0. 05). However, there was no significant difference in man between two groups(P>0. 05). The incidences of hypertriglyceridemia in the euthyroid group from quartile 1 toquartile4ofTSHwere33.3%,35.5%,39.7%,and44.0% respectively(P<0.05). SerumTGlevelwas increased with TSH in woman and total subjects after adjustment for age, sex, body mass index ( BMI) , waist-hip ratio (WHR), and homeostasis model assessment for insulin resistance index(HOMA-IR, P<0. 05). Serum TSH levels in the total sample were positively associated with TG after adjustment for age, sex, BMI, WHR, and HOMA-IR (β=0. 088,P<0. 05). Conclusion Higher serum TSH levels even within normal range seems to be a risk factor of dyslipidemia.
4.Epidemiologic investigation of dyslipidemia in middle-aged and elderly adults in Guiyang urban area
Miao ZHANG ; Xiaoya TONG ; Lixin SHI ; Qiao ZHANG ; Nianchun PENG
Chinese Journal of Endocrinology and Metabolism 2016;32(4):286-291
Objective To investigate the prevalence and the risk factors of dyslipidemia in residents aged 40 to 80 years in Guiyang. Methods A total of 10 022 adults (2 694 men and 7 328 women) aged 40 and over were selected from Yunyan community in Guiyang urban area for this population based cross-sectional study. Data were obtained by questionnaire survey, physical examination, fasting blood glucose, and lipid measurements. The association between influential factors and dyslipidemia was analyzed by logistic regression analysis. Results The standardized prevalence of dyslipidemia in residents aged 40 years and over in Guiyang was 46. 9%, with low high-densitylipoproteincholesterol(HDL-C)29.0%,hypertriglyceridemia19.3%,hightotalcholesterol(TC)9.3%, andhighlow-densitylipoproteincholesterol(LDL-C)4.3%. Logisticregressionanalysisindicatedthatage,gender, smoking, and alcohol abuse were the risk factors of high TC and high LDL-C. Abdominal obesity was a main risk factor for both hypertriglyceridemia and low HDL-C. Conclusion The prevalence of dyslipidemia of middle-aged and aged residents in urban districts of Guiyang was on the national average level. Hypertriglyceridemia and low HDL-C were the most common types. Age and abdominal obesity were important risk factors of dyslipidemia.
5.Relationship study of blood serum visfatin and iron metabolism in newly diagnosed type 2 diabetes mellitus
Xue SUN ; Yahua ZHANG ; Shujing XU ; Lixin SHI ; Nianchun PENG ; Qiao ZHANG
Chongqing Medicine 2015;(2):194-196
Objective To determine the concentration of blood serum visfatin and some iron metabolism‐related indicators:Ser‐um ferritin、hepcidin、serum transferring receptor(sTfR)level in newly diagnosed type 2 diabetes patients and explore the inter‐rela‐tionship between blood serum visfatin and iron metabolism .Methods Eighty‐five patients with newly diagnosed type 2 diabetes mellitus were selected and divided into 2 groups including 43 patients with normal weight (the normal weight of diabetic group , group B)and 42 obese patients (the obese diabetic group ,group D) .Meanwhile ,86 healthy examinees were selected and divided into 2 groups including 43 cases with normal weight (the control group ,group A)and 43 cases with obese (simple obesity group ,group C) .Serum visfatin ,ferritin ,hepcidin ,serum transferring receptor level and other clinical parameters of all groups were determined . Results Blood serum visfatin concentration was not found to be associated with ferritin ,hepcidin ,serum transferring receptor in all the groups(r=0 .111 ,P>0 .05) .Conclusion Blood serum visfatin may be not associated with ferritin ,hepcidin ,serum transferring receptor in newly diagnosed type 2 diabetes patients .
6.Relationship of serum 25-hydroxyvitamin D and parathyroid hormone levels with blood pressure in 1 403 community adults
Rui WANG ; Qiao ZHANG ; Lixin SHI ; Nianchun PENG ; Shujing XU ; Miao ZHANG ; Song ZHANG
Chinese Journal of Endocrinology and Metabolism 2014;30(5):397-401
Objective To investigate the association of serum 25-hydroxyvitamin D (25OHD),parathyroid hormone (PTH),blood glucose,blood lipid,uric acid,obesity,insulin etc with blood pressure.Methods A total of 1 403 residents aged (45.3 ± 14.4) years were enrolled from Guiyang residents during a health survey in 2009.The standard questionnaire survey and physical examination were performed in all subjects.The fasting plasma glucose,postprandial 2 h plasma glucose (2hPG),triglyceride,high density lipoprotein-cholesterol,serum calcium,phosphorus,creatinine,and uric acid were determined by automatic biochemical analyzer,serum insulin by chemiluminescence method,and serum 25OHD and PTH by radioimmunoassay.Results Path analysis showed that age,gender,body mass index (BMI),insulin,25OHD,PTH,2hPG,and triglyceride affected systolic blood pressure,with the repective path coefficients of 0.453,0.294,0.120,-0.106,-0.049,0.047,0.030,and 0.030.BMI,age,gender,insulin,2hPG,triglyceride affected diastolic blood pressure,with the path coefficients 0.348,0.217,-0.146,0.134,0.035,and 0.035 respectively.Insulin,triglyceride,2hPG indirectly influenced blood pressure through BMI.BMI,PTH,and 25OHD had a significant and direct effect on blood pressure.Gender and age directly and indirectly influenced blood pressure through BMI.Conclusion The most significant influential factors on blood pressure are age,serum insulin,triglyceride,and 2hPG in the population of Guiyang.Serum 25OHD is negatively associated with systolic blood pressure while PTH level is positively associated with systolic blood pressure.
7.Optimization of Near Infrared Variable Selection Method Based on Multivariate Detection Limit
Yanfang PENG ; Xinyuan SHI ; Yang LI ; Luwei ZHOU ; Yanling PEI ; Guodong HUA ; Zhisheng WU ; Yanjiang QIAO
World Science and Technology-Modernization of Traditional Chinese Medicine 2014;(5):960-965
This study was aimed to optimize the near infrared (NIR) variable selection method based on multivariate detection limit (MDL). Using Qing-Kai-Ling (QKL) injection as object, three variable selection methods (interval par-tial least-squares, iPLS; backward interval partial least squares, BiPLS; moving window interval partial least squares, mwPLS) were used to establish the PLS models of baicalin in QKL injection, respectively. The prediction ability of different variable selection method was compared. MDL of all models were calculated in contrast to the MDL value of full spectra PLS model, to select optimal variable selection method. The results showed that different variable selec-tion methods had different prediction ability. Among them, iPLS had the best performance which determination coef-ficient of prediction (Rpre2) and the root mean square errors of prediction (SEP) were 0.996 5 and 602.3 μg·mL-1, re-spectively. All MDLs of different variable selection methods were reduced compared with the full spectra PLS model. The value of iPLS was the lowest comes to be 1.19 μg·mL-1. The results above indicated that the best variable se-lection method for baicalin in QKL injection was iPLS. MDL theory took the error of calibration and validation set and the leverage of external sample into account, which can comprehensively evaluate model detection performance compared to the classic chemical indicator parameters. This method was particularly suitable for the variable selec-tion method optimization of NIR quantitative model of low concentration sample such as Chinese herbal medicine.
8.3.0T MRI Multi-b-value Diffusion Weighted Imaging in the Differential Diagnosis of Female Pelvic Benign and Malignant Lesions
Minxia QIAO ; Huiping SHI ; Dan QIN ; Xujia ZHOU ; Shibo DONG ; Fan YANG ; Peng LIANG
Chinese Journal of Medical Imaging 2013;(12):951-954
Purpose To explore the diagnostic value of double exponential model for pelvic lesions using 3.0T MRI for the diagnosis of pelvic lesion. Materials and Methods Fifty patients with pelvic lesions (30 benign cases and 20 malignant cases) underwent MR750-diffusion weighted imaging (DWI) scans, with b values of 0, 50, 300, 600, 800 and 1200 s/mm2, Functool-MADC software was used on AW 451 workstations for data processing, Slow ADC value, Fast ADC value, Standard ADC value, Fraction of fast ADC value were recorded and compared between benign and malignant lesions, and Standard ADC images were fused with axial T2 fat-suppressed images. Results Slow ADC values [(1.83±0.86)×10-3 mm2/s] and Standard ADC values [(1.79±0.78)×10-3 mm2/s] of benign lesions were larger than those of the malignant lesions [Slow ADC values:(1.05±0.31)×10-3 mm2/s;Standard ADC values:(1.13±0.39)×10-3 mm2/s] (t=3.90, 3.51;P<0.01), and the difference of Slow ADC value was largest between benign and malignant lesions. Slow ADC values of both benign and malignant lesions were significantly less than the Fast ADC values [benign:Slow ADC value=(1.83±0.86)×10-3 mm2/s, Fast ADC value=(16.95±8.63)×10-3 mm2/s; malignant: Slow ADC value=(1.05±0.31)×10-3 mm2/s, Fast ADC value=(15.12±9.90)×10-3 mm2/s] (t=-10.40,-6.29;P<0.01). Conclusion Double exponential decay model is capable of differentiating benign and malignant pelvic tumors, thus is of great significance for clinical preoperative diagnosis.
9.Vitamin D status and its effect on bone mineral density of the middle and old aged women in the urban area of Guiyang
Jinglu ZHANG ; Qiao ZHANG ; Lixin SHI ; Nianchun PENG ; Miao ZHANG ; Liu LIU
Chinese Journal of Endocrinology and Metabolism 2012;(11):878-883
Objective To evaluate vitamin D status of the middle and old aged women in the urban area of Guiyang,and to explore the impact of vitamin D status on the bone mineral density.Methods A total of 511 healthy women,aged 40 to 79 years old,living in one of the urban communities in Guiyang,were selected by means of stratified cluster sampling.The levels of serum 25-hydroxyvitamin D [25 (OH) D] and intact parathyroid hormone (iPTH) were detected by radioimmunoassay.In addition,the bone mineral density (BMD) of hip,lumbar vertebrae 1-4 (L1-4),and neck of left femur were detected by Dual energy X ray absorptiometry.Results The average serum level of 25(OH)D in all subjects was (21.3 ± 7.9) ng/ml and that of iPFH was (29.3 ± 16.5) pg/ml.Severe deficiency [25 (OH) D< 10 ng/ml],deficiency [10 ≤ 25 (OH) D<20 ng/ml],insufficiency [20 ≤ 25 (OH) D ≤ 30ng/ml],and sufficiency [25 (OH) D> 30 ng/ml] of vitamin D were ascertained in 5.3%,42.3%,37.9%,and 14.5% of the total cases respectively.The morbidity of secondary hyperparathyroidism was 4.7%.The level of 25 (OH) D was positively correlated with the BMD of L1-4 and neck of left femur (both P<0.01).The level of iPTH was negatively correlated with BMD of neck of left femur and L1-4 (both P<0.05).Conclusion The majority of middle and old aged women in the urban area of Guiyang city were found to be of vitamin D deficiency and insufficiency.Vitamin D status is positively correlated with BMD at lumbar spine and proximal femur.Serum 25 (OH) level below 20 ng/ml is associated with raised parathyroid hormone,which increases the risk of osteoporosis.
10.Vitamin D status in healthy adults in Guiyang of China
Qiao ZHANG ; Nianchun PENG ; Shujing XU ; Miao ZHANG ; Huijun ZHUANG ; Jinglu ZHANG ; Liu LIU ; Lixin SHI
Chinese Journal of Endocrinology and Metabolism 2011;27(8):659-663
Objective To evaluate vitamin D status in healthy adults living in Guiyang. Method 1 500 healthy volunteers aged 20-79 years ( mean 45.2 years ) were recruited from a community in Guiyang by cluster sampling method. Questionnaires for living habits and fasting blood samples were collected from November, 2009 to February, 2010. Serum 25 ( OH ) D concentrations were measured by radioimmunoassay, using the DiaSorin kit,USA. Results The average serum 25 ( OH ) D level was ( 20. 4±9.0 ) ng/ml. The percentages of vitamin D deficiency [25 ( OH ) D < 20 ng/ml], insufficiency [20 ng/ml ≤ 25 ( OH ) D < 30 ng/ml], and sufficiency [25 ( OH ) D ≥ 30ng/ml] were 52. 3% , 32. 3% , and 15.4% , respectively. The 25 (OH) D concentrations in the young, middle-aged,and elderly were ( 18. 2±9. 2), (22. 8±8. 7), and ( 19. 9±7.8) ng/ml, respectively. The percentages of vitamin D deficiency in these groups were 62. 8%, 40. 2%, and 55.4%, being 61.6% in higher educational group ( ≥ 13 years) and 64. 4% in the group with lower body mass index ( < 18.5 kg/m2 ). Conclusion Vitamin D deficiency is common in Guiyang including all age groups, especially among the youth and the elderly. Serum 25-hydroxyvitamin D level is also influenced by education, age, smoking, and other factors.