The novel adiponectin-resistin (AR) and insulin resistance (IR~AR~) indexes

Cia-Hin Lau,Sekaran Muniandy

doi:10.1038/npre.2010.4191.1

Abstract

AbstractSerum hypoadiponectinemia and hyperrestinemia independently links insulin resistance to type 2 diabetes (T2DM) and metabolic syndrome (MS). Thus, the aim of this study was propose a novel adiponectin-resistin (AR) index by unifying the effect of adiponectin and resistin. Then, a novel insulin resistance (IR~AR~) index was proposed by taking into account the AR index. Serum adiponectin and resistin levels as well as other insulin resistance, T2DM and MS risk factors were tested. Experimental results showed the AR index was more stronger correlated with insulin resistance risk factors and had stronger association (df=5; F=51.154; P&lt;0.001) with T2DM and MS susceptibility rather than the serum adiponectin (df=5; F=15.680; P&lt;0.001) and resistin (df=5; F=40.648; P&lt;0.001) levels alone. Therefore, the AR index looks very strongly links insulin resistance to T2DM and MS. Meanwhile, the IR~AR~ index (df=5; F=78.396; P&lt;0.001) is a potent useful index of insulin sensitivity in subjects with T2DM and MS.

Highlights

Adiponectin is a polypeptide hormone with molecular weight 30kDa (244 amino acids) which modulates a number of metabolic processes, including regulates energy homeostasis as well as glucose and lipid metabolism11,12
The blood circulating levels of resistin had been shown up-regulated in subjects with insulin resistance, type 2 diabetes, metabolic syndrome and cardiovascular diseases8,9,20,21,22,23
Experimental results showed fasting serum adiponectin (A0) and resistin (R0) levels were strongly correlated with insulin resistance indexes and risk factors (Tables 1-3)

Summary

Methods

The subjects classify into three main groups which were controls, type 2 diabetes mellitus (T2DM) and metabolic syndrome (MS). T2DM and MS subjects defined according to World Health Organization (WHO) 1999 diagnostic criteria and International Diabetes Federation (IDF) 2005 diagnostic criteria respectively. The sensitivity and specificity of the novel IRAR indexes as compared to the other existing insulin resistance indexes were evaluated by XLSTAT program (Addinsoft, USA). Statistical analysis were performed to evaluate the novel AR and IRAR indexes in linking insulin resistance with type 2 diabetes and metabolic syndrome respectively. Classical statistical analysis included the normality test (Anderson-Darling test followed by P-P and Q-Q plots), equality of variance test (Barlett’s test or Levene’s test), outliers’ detection (Box plot) and data transformation were performed using the Minitab 15 Program (Minitab Inc, USA).

Variables Combination

Findings