The link between insulin resistance parameters and serum uric acid is mediated by adiposity
Introduction
Numerous studies have established that C-reactive protein (CRP), as a marker of low-grade inflammation, can predict coronary artery disease (CAD) in apparently healthy individuals [1,2].
Recent experimental, clinical, and epidemiological studies have shown that hyperuricemia may cause endothelial dysfunction and pathologic vascular remodeling, and hence play a role in the pathogenesis of cardiovascular diseases, stroke, chronic heart failure, type 2 diabetes mellitus (T2DM) and insulin resistance [[3], [4], [5], [6], [7], [8], [9]]. Serum uric acid (SUA) induces CRP mRNA expression in human vascular endothelial and smooth muscle cells [3]. A significant positive crude correlation between CRP and SUA was also found in a German population-based study [10]. A positive and significant association between SUA levels and inflammatory biomarkers, including CRP, tumor necrosis factor-α (TNF-α) and interlukin-6 (IL-6), was reported among older persons [11].
Research showed that diabetes was associated with low SUA levels [[12], [13], [14]]. A prospective study among 10,000 men reported that SUA levels were higher in pre-diabetics than in non-diabetics [15]. In contrast, a series of cohort studies and subsequent meta-analysis assessed the association of SUA levels with the incidence of impaired fasting glucose (IFG) and T2DM, suggesting that hyperuricemia is an early important indicator of impaired glucose control [[16], [17], [18]]. Moreover, recent prospective studies with representative samples indicate hyperuricemia as a predictor for the development of insulin resistance and T2DM [18,19].
Obese individuals have lower uric acid (UA) renal excretion, and may also have increased production of uric acid [20]. However, we still do not know the role of adiposity in the link between SUA and glucose/insulin homeostasis and inflammation. Mediation analysis could clarify the role of adiposity, if any, in the relation between SUA and inflammation or glucose/insulin homeostasis [21]. From a statistical standpoint, mediation analysis can be used to explore and quantify the extent to which the relationship between an exposure and an outcome of interest, occurs through the effect of a third variable. The traditional approach to mediation analysis tends to produce a bias when there is a confounding uncontrolled mediator outcome or an interaction between exposure and mediator [21,22]. Using the counterfactual framework in causal mediation analysis, unbiased valid estimates of direct and indirect effects can be obtained [21,22]. Moreover, simple regression analysis is frequently used to evaluate the association between SUA and disease risk, but it may be characterized by a limited capacity to identify putative biological mechanisms which could possibly explain the association between SUA and risk of high inflammation and impaired glucose/insulin control [11].
The present analysis aims to specifically investigate the link between SUA with CRP and glucose/insulin homeostasis and identify adiposity factors that may mediate these associations. These factors include markers of adiposity [waist circumference (WC), body mass index (BMI), visceral adipose tissue (apVAT)], in a representative population of US adults by using National Health and Nutrition Examination Survey (NHANES) database. We hypothesized that a higher SUA would be associated with less favorable concentrations of inflammatory and glucose/insulin homeostasis biomarkers among adults and that these associations would be partly or fully mediated by adiposity markers.
Section snippets
Population characteristics
The NHANES program is implemented by the US National Center for Health Statistics (NCHS) [23]. NHANES uses a complex, multistage and stratified sampling design to select a representative sample of the civilian and non-institutionalized resident population of the US. The NCHS Research Ethics Review Board approved the NHANES protocol and consent was obtained from all participants [24]. The current study was based on analysis of data collected from 2005 to 2010. Data collection on demographics
General characteristics
Characteristics of individuals (n = 16,502) are summarized in Table 1. Overall, 7953 (48.2%) participants were men; the mean age of the total population was 47.1 years. Non-Hispanic white (69.3%) was the largest racial group and other Hispanic (4.4%) the smallest racial group. Furthermore, 56.2% of the participants were married, while 56.4% had achieved more than high school (Table 1).
As can be seen from Table 1, mean and standard error (SEM) of BMI, WC, apVAT were 28.52 ± 0.03 kg/m2,
Discussion
In the present study, we evaluated the association between SUA, a possible predictor of cardiovascular disease [18,19,39,40], with glucose/insulin homeostasis or inflammatory markers after correction for anthropometric, clinical, demographic and dietary factors. We also evaluated the role of different adiposity factors on the link between SUA and glucose/insulin homeostasis or inflammation using a large, representative sample of US adults and counterfactual framework. We found a direct
Conflict of interest
NK has given talks, attended conferences and participated in trials sponsored by Amgen, Angelini, Astra Zeneca, Boehringer Ingelheim, MSD, Novartis, NovoNordisk, Sanofi and WinMedica. DPM has given talks and attended conferences sponsored by MSD, AstraZeneca and Libytec. The other authors have no conflict of interest to declare.
Financial support
MM was supported by the world academy of sciences studentship of the Chinese Academy of Sciences.
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