Salivary uric acid as a noninvasive biomarker of metabolic syndrome

Diabetology & Metabolic Syndrome - Tập 4 Số 1 - 2012
Maria Soukup1, Izabela Biesiada1, Aaron T. Henderson2, Benmichael Idowu1, Derek Rodeback1, Lance Ridpath3, Edward G. Bridges1, Andrea M. Nazar4, Kristie Grove Bridges1
1Department of Biomedical Sciences, West Virginia School of Osteopathic Medicine, 400 N Lee St, Lewisburg, WV, USA
2Current affiliation, Department of Internal Medicine, San Antonio Uniformed Services Health Education Consortium, San Antonio, TX, USA
3Department of Assessment and Educational Development, West Virginia School of Osteopathic Medicine, Lewisburg, WV, USA
4Department of Clinical Sciences, West Virginia School of Osteopathic Medicine, Lewisburg, WV, USA

Tóm tắt

Abstract Background Elevated serum uric acid is associated with obesity, hypertension and metabolic syndrome. Because a linear relationship exists between serum and salivary uric acid (SUA) concentration, saliva testing may be a useful noninvasive approach for monitoring cardiometabolic risk. The goal of this pilot study was to determine if SUA is increased in patients with metabolic syndrome and to investigate correlations between SUA and individual cardiometabolic risk factors. Findings Volunteers between the ages of 18 and 65 without conditions known to affect serum uric acid levels were recruited. Height, weight, blood pressure and waist circumference were measured and a full lipid panel along with fasting blood glucose was obtained. Saliva samples were collected and uric acid levels were determined. 78 volunteers, 35% of whom had metabolic syndrome, completed the study. SUA was significantly elevated in patients with metabolic syndrome (p=.002). The incidence of metabolic syndrome in the 4th quartile for SUA was 67% compared to 25% in quartiles1-3 combined. Significant correlations were seen between SUA and systolic blood pressure (r=.440, p=.000), diastolic blood pressure ( r=.304, p=.007), waist circumference (r=.332, p=.003), BMI ( r=.269, p=.018), fasting blood glucose ( r=.341, p=.002), triglycerides (r=.410, p=.000), HDL ( r=.237, p=.036) and the number of cardiometabolic risk factors present (r=0.257, p=.023). Conclusions These results suggest that SUA may be a useful biomarker for noninvasive monitoring of cardiometabolic risk. Larger studies are needed to validate this approach.

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Diabetology & Metabolic Syndrome

Tập 4 Số 1

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