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

Jianliang Zhang, Yongwen Qin, Xing Zheng, Jianli Qiu, Li Gong, Hongjuan Mao, Weiping Jia, Ji-zhen Guo

Open publisher page 40 citations

Abstract

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.

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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.

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Available abstract

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.

Key concepts: Resistin, Internal medicine, Endocrinology, Blood pressure, Waist, Body mass index, Insulin, Medicine

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