Biomedical subjects

Weiping Jia

Publications and source records attributed to Weiping Jia.

5 recordsLinked to original sources

PubMed2002

[The relationship between human serum resistin level and body fat content, plasma glucose as well as blood pressure].

OBJECTIVE: To investigate serum resistin concentration in essential hypertension patients and the relationship between serum resistin level and body fat content, plasma glucose concentration, and blood pressure. METHODS: Fasting serum resistin concentrations were measured with enzyme immunoassay in 71 cases (including 33 men and 38 women), and oral glucose tolerance test and insulin release test were performed in all cases for calculating glucose area under the curve (AUC(G)), the ratio of change in insulin to change in glucose during the first 30 min after glucose ingestion (Delta I(30)/Delta G(30)) and insulin sensitivity index (ISI) according to Cederholm's formula. Systolic pressure (SBP), diastolic pressure (DBP), height, body weight, waist circumference and hip circumference were measured to calculate body mass index (BMI), body fat percentage (BF%) and waist-hip ratio (WHR). RESULTS: Pearson analysis showed that fasting serum resistin concentrations were correlated with AUC(G) (r = 0.380, P < 0.001), BF% (r = 0.353, P < 0.01), ISI (r = -0.242, P < 0.05) and Delta I(30)/Delta G(30) (r = -0.298, P < 0.05), but not correlated with SBP, DBP, BMI and WHR. After adjustment for age and BMI, partial correlation analysis showed that fasting serum resistin concentrations were correlated with AUC(G) (r = 0.268, P < 0.05), Delta I(30)/Delta G(30) (r = -0.247, P < 0.05) and not correlated with ISI. A stepwise multiple linear regression analysis showed that resisitin was a significant independent predictor of AUC(G). CONCLUSION: The strong correlation between fasting serum resistin levels and AUC(G), and BF% suggests a possibility that resistin link obesity to diabetes in humans.

Blood Glucose↗

PubMed2002

Accelerating the drug optimization process: identification, structure elucidation, and quantification of in vivo metabolites using stable isotopes with LC/MSn and the chemiluminescent nitrogen detector.

Most preclinical leads exhibit poor ADME/PK properties and require optimizing to increase the likelihood of becoming successful pharmaceuticals. As a means of accelerating the evaluation of these leads in vivo, we assessed the use of LC/MS with the chemiluminescent-nitrogen detector (CLND) and a stable isotope to identify and quantify in vivo metabolites and to measure excretion. A 14C-labeled preclinical lead that also contained two chlorine atoms was administered orally to rats, and samples of bile, urine, and plasma were collected and analyzed by LC with radiodetection and by LC/MS-CLND with the chlorine atoms used as tracers. Both methods identified seven metabolites in bile and two metabolites in urine. The amount and abundance of each metabolite was measured, and the results were equivalent for the two methods. Material balance was measured by liquid scintillation counting of the starting samples, by LC/radiodetection, and by LC/MS-CLND. All three methods yielded the same results and showed that the primary route of clearance was metabolism followed by immediate excretion. This study demonstrates that LC/MS-CLND with a stable isotope is a method that can efficiently track and accurately quantify metabolites, making it possible to rapidly study ADME/PK in vivo without radiolabeling.

Animals↗

PubMed2002

[The UCSNP44 variation of calpain 10 gene on NIDDM1 locus and its impact on plasma glucose levels in type 2 diabetic patients].

OBJECTIVE: To study the contribution of single nucleotide polymorphism-UCSNP44 at calpain-10 gene (CAPN-10) on NIDDM1 locus to type 2 diabetes mellitus (T2DM) in Chinese. METHODS: 276 Chinese living in Shanghai, 148 with normal glucose tolerance (NGT) and 128 with T2DM were given 75 g glucose. O, 30, 60, 120, and 180 minutes later their plasma glucose (PG), insulin (INS), C-peptide (CP), and free fatty acids (FFA) were measured and the areas under curve (AUC) were calculated. The islet beta-cell insulin secretion and tissue insulin sensitivity were estimated by formulae of homeostasis model assessment and increment ratio of insulin to glucose levels 30 minutes after glucose challenge. The CAPN-10 UCSNP44 as well as UCSNP43 were genotyped by automated DNA direct sequencing. RESULTS: (1) The major genotype of CAPN-10 UCSNP44 in persons with NGT was TT (with a frequency of 0.82); the major allele was T (0.91). The most frequent genotype combination between UCSNP44 and UCSNP43 was TT-GG (corresponding to haplotype combination TG/TG) (0.64). The most frequent haplotype was TG (0.80). The D value for linkage disequilibrium between UCSNP44 and UCSNP43 was -0.11. (2) The frequencies of UCSNP44 and UCSNP44/UCSNP43 haplotype combination did not differ significantly between subjects with NGT and those with T2DM. (3) The PG levels in T2DM subjects with UCSNP44 TT genotype both at fasting and after glucose challenge were statistically significantly higher than those in subjects with non-TT (TC + CC) genotype, especially the PG levels 0, 60, 120, and 180 minutes after glucose challenge (P = 0.036, 0.040, 0.020, and 0.017) and the PG-AUC (P = 0.013). The PG levels and PG-AUC 0 and 120 minutes after glucose challenge were still significant after adjusted with age, sex, and body mass index and waist circumference. Similar results were observed in comparison between the TG/TG and TG/CG subgroups of UCSNP44/UCSNP43 haplotype combination. In addition, T2DM subjects with UCSNP44 TT genotype had lower CP levels after glucose challenge than those with non-TT genotype. However, the difference became not statistically significant after adjusted with above-mentioned variables. CONCLUSION: The variation of CAPN-10 UCSNP44 has an impact on plasma glucose levels at fasting and after glucose challenge in subjects with type 2 diabetes. The relevant mechanism remains to be elucidated.

Blood Glucose↗

PubMed2002

[Evaluation of abdominal visceral obesity from anthropometric parameters using receiver operating characteristic curves].

OBJECTIVE: To evaluate the best cut-off point, sensitivity and specificity of body mass index (BMI), waist circumference (WC) and Waist-to-hip ratio (WHR) in predicting of abdominal visceral obesity. METHODS: Abdominal visceral fat area (VA) was measured with magnetic resonance image (MRI) in 690 subjects (men: 305, women: 385). Meanwhile, BMI, WC, WHR were assessed. Receiver operating characteristic (ROC) curve was used as index for analysis. RESULTS: 1) 61.7% of over-weight/obesity (OW/OB) and 14.2% of normal weight (NW) individuals were abdominal visceral obesity (VA >/= 100 cm(2)) by MRI diagnosis. 2) VA was significantly positively correlated with anthropometric variables (BMI, WC, WHR), in which WC was the best (r = 0.73 - 0.77, P < 0.001). 3) The best cut-off points of these anthropometric parameters in assessing abdominal visceral obesity were as follow: BMI: 26 kg/m(2), WC: 90 cm, WHR: 0.93. Among them WC showed most sensitive and specific. 4) 95% men and 90% women appeared abdominal visceral obesity in subjects with BMI >/= 28 kg/m(2) or WC >/= 95 cm. CONCLUSION: BMI, WC, WHR can all predict abdominal visceral obesity, with WC the best.

Adipose Tissue↗

PubMed2002

[Effects of uncoupling protein 3 gene -55 C-->T variant on lipid metabolism, body fat, its distribution and non-insulin-dependent diabetes mellitus in Chinese].

OBJECTIVE: To investigate the relationship of UCP3 gene -55 C-->T variant with lipid metabolism, body fat, its distribution and non-insulin-dependent diabetes mellitus(NIDDM) in Chinese. METHODS: Polymerase chain reaction-restriction fragment length polymorphism(PCR-RFLP) was used to detect the genotype of UCP3 gene -55 C-->T in a total of 316 Chinese including 165 individuals with normal glucose tolerance(NGT) and 151 patients with type 2 diabetes). MRI was used to detect local body fat; the enzyme method and sulfate-sephadex-manganese precipitation method were used to detect TC and HDL-C, and then LDL-C was calculated with corresponding formula. RESULTS: (1)No difference was seen on comparing allele and genotype frequencies of Chinese with those of Caucasian (P=0.1120 and P=0.0646, respectively), whereas significant difference in these frequencies was seen between Chinese and Pima Indians(P=0.0 105 and P=0.0314, respectively). (2)Stepwise regression analysis revealed that the independent variables to UCP3 gene -55 C-->T were: HDL-C(P= 0.013)and LDL-C(P=0.012) in male NGT subgroup FA(P=0.023) in female NGT subgroup TG(P=0.004)in male DM subgroup, and waist to hip ratio (WHR)(P=0)in female DM subg roup. (3)The allele frequency of DM group was significantly different from that of NGT(P =0.0358). The odd ratio for the T allele carrier with NIDDM was 1.434 (95%CI 1.031-1.995). CONCLUSION: Although UCP3 gene 55 C-->T variant is associated with lipid metabolism, body fat and its distribution in Chinese, the association is dependent on sex and disease status. The variant is also associated with NIDDM in Chinese.

Adipose Tissue↗