Association between serum retinol‐binding protein 4 concentrations and clinical indices in subjects with type 2 diabetes: a meta‐analysis

Park, H.; Green, M. H.; Shaffer, Michele L.

doi:10.1111/j.1365-277x.2012.01262.x

Cited by 16 publications

(19 citation statements)

References 38 publications

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“…As an example, we confirm previously reported close relationships between circulating RBP4 and serum triglycerides [13], [14]. For RBP4, relationships with insulin resistance and glucose homeostasis have been controversially discussed [14], [15]–[17].…”

Section: Discussionsupporting

confidence: 90%

Identification of Adipokine Clusters Related to Parameters of Fat Mass, Insulin Sensitivity and Inflammation

et al. 2014

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In obesity, elevated fat mass and ectopic fat accumulation are associated with changes in adipokine secretion, which may link obesity to inflammation and the development of insulin resistance. However, relationships among individual adipokines and between adipokines and parameters of obesity, glucose metabolism or inflammation are largely unknown. Serum concentrations of 20 adipokines were measured in 141 Caucasian obese men (n = 67) and women (n = 74) with a wide range of body weight, glycemia and insulin sensitivity. Unbiased, distance-based hierarchical cluster analyses were performed to recognize patterns among adipokines and their relationship with parameters of obesity, glucose metabolism, insulin sensitivity and inflammation. We identified two major adipokine clusters related to either (1) body fat mass and inflammation (leptin, ANGPTL3, DLL1, chemerin, Nampt, resistin) or insulin sensitivity/hyperglycemia, and lipid metabolism (vaspin, clusterin, glypican 4, progranulin, ANGPTL6, GPX3, RBP4, DLK1, SFRP5, BMP7, adiponectin, CTRP3 and 5, omentin). In addition, we found distinct adipokine clusters in subgroups of patients with or without type 2 diabetes (T2D). Logistic regression analyses revealed ANGPTL6, DLK1, Nampt and progranulin as strongest adipokine correlates of T2D in obese individuals. The panel of 20 adipokines predicted T2D compared to a combination of HbA1c, HOMA-IR and fasting plasma glucose with lower sensitivity (78% versus 91%) and specificity (76% versus 94%). Therefore, adipokine patterns may currently not be clinically useful for the diagnosis of metabolic diseases. Whether adipokine patterns are relevant for the predictive assessment of intervention outcomes needs to be further investigated.

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Section: Discussionsupporting

confidence: 90%

Identification of Adipokine Clusters Related to Parameters of Fat Mass, Insulin Sensitivity and Inflammation

et al. 2014

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“…This may increase the risk of vitamin A deficiency in individuals who do not have adequate liver stores to draw from. In subjects with kidney disease, the glomerular filtration rate decreases, resulting in an increase in the serum concentration of apo-RBP (237) and a lower percentage of saturation with retinol than the typical 85%. This altered ratio would decrease the utility of RBP as a surrogate indicator of serum retinol concentration.…”

Section: Biomarker-specific Issuesmentioning

confidence: 99%

Biomarkers of Nutrition for Development (BOND)—Vitamin A Review

Tanumihardjo

Russell

Stephensen

et al. 2016

The Journal of Nutrition

355

414

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The Biomarkers of Nutrition for Development (BOND) project is designed to provide evidence-informed advice to anyone with an interest in the role of nutrition in health. The BOND program provides information with regard to selection, use, and interpretation of biomarkers of nutrient exposure, status, function, and effect, which will be especially useful for readers who want to assess nutrient status. To accomplish this objective, expert panels are recruited to evaluate the literature and to draft comprehensive reports on the current state of the art with regard to specific nutrient biology and available biomarkers for assessing nutritional status at the individual and population levels. Phase I of the BOND project includes the evaluation of biomarkers for 6 nutrients: iodine, folate, zinc, iron, vitamin A, and vitamin B-12. This review of vitamin A is the current article in this series. Although the vitamin was discovered >100 y ago, vitamin A status assessment is not trivial. Serum retinol concentrations are under homeostatic control due in part to vitamin A’s use in the body for growth and cellular differentiation and because of its toxic properties at high concentrations. Furthermore, serum retinol concentrations are depressed during infection and inflammation because retinol-binding protein (RBP) is a negative acute-phase reactant, which makes status assessment challenging. Thus, this review describes the clinical and functional indicators related to eye health and biochemical biomarkers of vitamin A status (i.e., serum retinol, RBP, breast-milk retinol, dose-response tests, isotope dilution methodology, and serum retinyl esters). These biomarkers are then related to liver vitamin A concentrations, which are usually considered the gold standard for vitamin A status. With regard to biomarkers, future research questions and gaps in our current understanding as well as limitations of the methods are described.

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“…Other studies concluded that elevated RBP4 levels in patients with T2DM might be relevant to the development of insulin resistance state, owing to the potential mechanisms for RBP4 involved in insulin resistance . Besides renal function and insulin resistance, several studies have also revealed that circulating RBP4 had significantly positive correlations with the proatherogenic lipid parameters in T2DM patients , suggesting its possible role for lipid metabolic abnormalities in T2DM. However, the results of these studies regarding the major determinants of plasma RBP4 levels in T2DM patients were inconsistent and the underlying mechanisms were also inconclusive.…”

Section: Introductionmentioning

confidence: 99%

Associations of RBP4 with lipid metabolism and renal function in diabetes mellitus

Wang

Song

et al. 2013

Euro J Lipid Sci & Tech

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To investigate the plasma retinol-binding protein 4 (RBP4), small dense low-density lipoprotein cholesterol (sdLDL-C), oxidized low-density lipoprotein (ox-LDL) levels and to evaluate the associations of RBP4 with abnormal lipid metabolism and renal dysfunction in type 2 diabetes mellitus (T2DM) patients, we determined RBP4, sdLDL-C, ox-LDL levels and renal parameters in 120 T2DM patients with or without nephropathy and 70 controls. The correlation analysis and multiple linear regression analysis were performed. Compared with controls, the RBP4 and sdLDL-C levels were found significantly increased only in diabetic nephropathy (DN) patients and ox-LDL levels were elevated in both groups of T2DM patients. The RBP4 levels were positively correlated with sdLDL-C, ox-LDL, and negatively with estimated glomerular filtration rate (eGFR) in all the T2DM patients. Multiple linear regression analysis showed that sdLDL-C and eGFR were the independent predictors of RBP4 levels, and RBP4 were one of the independent determinants for sdLDL-C and ox-LDL levels in T2DM patients, respectively. In conclusion, plasma RBP4, sdLDL-C, ox-LDL levels were significantly increased in DN patients. Circulating RBP4 may be associated with abnormal lipid metabolism and renal dysfunction, and considered as a biomarker of cardiovascular disease and renal function in T2DM patients. Practical applications:The findings in the present study support the hypothesis that circulating RBP4 not only plays an important role in lipid metabolism abnormalities of atherosclerosis, contributing to the increased risk of CVD, but also could reflect renal dysfunction and be associated with the severity of nephropathy in T2DM patients. Therefore, the clinical monitoring of plasma RBP4 level as well as its dynamic changes may possess distinctly clinical value for assessments of renal function and CVD risk in T2DM patients. These findings may contribute to the further understanding of the pathogenic role of circulating RBP4 in proatherogenic dyslipidemia and nephropathy in T2DM.

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Association between serum retinol‐binding protein 4 concentrations and clinical indices in subjects with type 2 diabetes: a meta‐analysis

Abstract: The results obtained in the present study suggest that serum RBP4 concentrations in patients with type 2 diabetes may be associated with diabetes-related renal dysfunction and imbalances in lipid metabolism.

Cited by 16 publications

References 38 publications

Identification of Adipokine Clusters Related to Parameters of Fat Mass, Insulin Sensitivity and Inflammation

Identification of Adipokine Clusters Related to Parameters of Fat Mass, Insulin Sensitivity and Inflammation

Biomarkers of Nutrition for Development (BOND)—Vitamin A Review

Associations of RBP4 with lipid metabolism and renal function in diabetes mellitus

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