Plasma adiponectin in overweight, nondiabetic individuals with or without insulin resistance

Shand, Brett; Scott, Russell S.; Elder, Peter A.; George, Peter M.

doi:10.1046/j.1463-1326.2003.00279.x

Cited by 91 publications

(81 citation statements)

References 11 publications

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“…14,25 Adiponectin has several advantages as a marker of IR, as we have shown previously that this relationship is independent of body weight and adiposity, 16 whereas this study shows that low circulating levels of adiponectin precede the development of IFG. In comparison, changes in IR indices, derived from insulin and glucose concentrations, seem to occur later in the progression of the disease and are known to be more influenced by confounding factors, such as anthropometry and variability in fasting conditions and sample collection.…”

Section: Discussioncontrasting

confidence: 41%

“…10 More recently, an index incorporating fasting insulin and triglyceride levels, the McAuley index, has also been shown to be a sensitive marker of IR 11 and has attracted increasing use in clinical research. The presence of the metabolic syndrome (MetS) itself is also often used as a surrogate marker of IR, 12 with its characteristic abnormalities of a raised triglyceride (trig) to highdensity lipoprotein (HDL)-cholesterol ratio (trig:HDL) 13 and low circulating levels of the insulin-sensitizing adipocytokine, adiponectin, [14][15][16] shown to correlate with the degree of IR.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of indices of insulin resistance with metabolic syndrome classifications to predict the development of impaired fasting glucose in overweight and obese subjects: a 3-year prospective study

et al. 2009

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Objective: To compare the ability of biochemical indices of insulin resistance (IR) with metabolic syndrome (MetS) classifications to predict changes in blood glucose control over a 3-year period in overweight and obese subjects. Design: This was a longitudinal, prospective study, with data collected at baseline, 18 and 36 months. Subjects and methods: A total of 175 overweight (body mass index (BMI)425 kg m À2 ) and obese (BMI430 kg m À2 ) subjects were enrolled in the study. The IR indices assessed included fasting insulin concentration, the insulin/glucose-derived indices, homeostasis assessment model of insulin resistance (HOMA-IR) and quantitative insulin sensitivity check index (QUICKI), the insulin/triglyceride-derived McAuley index, plasma adiponectin concentration and the triglyceride (trig) and high-density lipoprotein (HDL)-cholesterol ratio (trig:HDL). The two MetS classifications were assessed according to the definitions of the National Cholesterol Education Program-Third Adult Treatment Panel (NCEP-ATPIII) and the International Diabetes Federation (IDF). The potential of the IR indices and MetS classifications at baseline to predict the development of impaired fasting glucose (IFG) was examined using receiver-operator characteristic (ROC) curve analysis and analysis of variance. Results: Complete data were collected on 158 subjects. In all, 51 (32%) subjects developed IFG during the study. The analysis of variance showed significant differences between the IFG and normoglycaemic group in the baseline values of the McAuley index, trig:HDL, plasma adiponectin concentration and prevalence of the MetS. The ROC curve analysis confirmed this result and showed that the strongest predictors of IFG were baseline trig:HDL and IDF MetS classification, followed in order by the McAuley index, plasma adiponectin concentration and NCEP-ATPIII MetS classification. In contrast, the baseline values of fasting insulin, HOMA-IR and QUICKI did not predict IFG. Discussion: This study showed that the IR indices, derived, in part, from plasma triglyceride concentration, were sensitive predictors for the development of IFG in normoglycaemic overweight and obese subjects. Indices derived from glucose and insulin did not identify this at-risk group. The study also showed that the presence of MetS and its abnormalities of an increased trig:HDL ratio and low plasma adiponectin concentration were all sensitive predictors of IFG.

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Section: Discussioncontrasting

confidence: 41%

Section: Introductionmentioning

confidence: 99%

Comparison of indices of insulin resistance with metabolic syndrome classifications to predict the development of impaired fasting glucose in overweight and obese subjects: a 3-year prospective study

et al. 2009

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“…Correlations between HOMA and serum adiponectin and subcutaneous mRNA levels have been reported previously. 30,40,41 Motoshima et al 22 showed that adiponectin secretion was higher from cultured human omental than from subcutaneous adipocytes. In the same study, they also showed that omental adiponectin secretion was increased after insulin treatment while subcutaneous secretion was unaffected.…”

Section: Discussionmentioning

confidence: 99%

A polymorphism in the adiponectin gene influences adiponectin expression levels in visceral fat in obese subjects

et al. 2005

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Objective: Reduced serum adiponectin levels have been found in obesity and type 2 diabetes and variations in the adiponectin gene (APM1) have been associated with type 2 diabetes and features of the metabolic syndrome in different populations. Study Design: Here, we investigated the expression of APM1 in adipose tissue and studied the relationship between variation in APM1 expression, the APM1 G276T polymorphism, the common PPARG Pro12Ala polymorphism and clinical features of 36 morbidly obese (body mass index (BMI) 41.574.9 kg/m 2 ) nondiabetic subjects. Results: APM1 mRNA expression in visceral fat was correlated with serum adiponectin levels (r ¼ 0.54, P ¼ 0.012). In visceral, but not in subcutaneous, adipose tissue APM1 mRNA level was 38% higher among carriers of the APM1 G276T T allele

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“…That patients with obesity, hypertension, coronary artery disease (CAD), diabetes on the cusp of inflammation, and insulin resistance are associated with hypoadiponectinemia supports this speculation. [19,24,25] Although plasma adiponectin concentrations are higher in patients with ESRD than in healthy subjects, the kidney's role in the metabolism of adiponectin is unknown. [8] Guebre et al has suggested that plasma adiponectin concentrations in chronic kidney disease are related more to metabolic disturbances than to decline in renal function.…”

Section: Tablementioning

confidence: 99%

The Relationship between Adiponectin Levels and Degree of Proteinuria in Patients with Nephrotic and Non-nephrotic Proteinuria

et al. 2009

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Adipose tissue appears to be a modulator of vascular injury and systemic inflammation. The aim of this study was to establish the relationship between plasma adiponectin concentration and severity of proteinuria in patients with proteinuria. We enrolled 77 patients with nephrotic and non-nephrotic proteinuria with normal renal function along with 38 matched controls in a cross-sectional study. These patients were divided into group 1 (n = 44, non-nephrotic proteinuria, <3.5 g/day) and group 2 (n = 43, nephrotic proteinuria, >3.5 g/day) by severity of proteinuria. Circulating adiponectin and high-sensitivity C-reactive protein (hsCRP) levels were measured using commercial ELISA. HOMA index and hsCRP levels were all significantly higher in proteinuric patients than in control subjects, while plasma adiponectin levels were significantly lower (p < 0.001). When compared to patients with non-nephrotic proteinuria, patients with nephrotic proteinuria had significantly higher plasma hsCRP and HOMA index (p < 0.001). According to the multiple regression analysis, proteinuria levels were independently related to adiponectin levels. Decreases in adiponectin levels were more prominent in patients with nephrotic proteinuria than in patients with non-nephrotic proteinuria. These results show that the reduction of plasma adiponectin concentrations depend on insulin resistance and inflammation rather than directly severity of proteinuria in patients with proteinuria.

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Plasma adiponectin in overweight, nondiabetic individuals with or without insulin resistance

Cited by 91 publications

References 11 publications

Comparison of indices of insulin resistance with metabolic syndrome classifications to predict the development of impaired fasting glucose in overweight and obese subjects: a 3-year prospective study

Comparison of indices of insulin resistance with metabolic syndrome classifications to predict the development of impaired fasting glucose in overweight and obese subjects: a 3-year prospective study

A polymorphism in the adiponectin gene influences adiponectin expression levels in visceral fat in obese subjects

The Relationship between Adiponectin Levels and Degree of Proteinuria in Patients with Nephrotic and Non-nephrotic Proteinuria

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