Saliva resistin as a screening marker of gestational diabetes mellitus

Abstract

Objective

The aim of this study was to evaluate the resistin concentrations in saliva; which is a noninvasive and stress-free diagnostic sample, and to investigate the significance of salivary resistin concentrations in screening GDM.

Methods

This cross-sectional case-control study included 41 newly diagnosed GDM patients and 40 healthy pregnant. The participants were consecutively included in the study among eligible pregnant women; who were in the age range from 18 to 40 years of age and at the gestational age between 24 and 28 weeks. The levels of serum and salivary resistin were determined using an enzyme-linked immunosorbent assay method.

Results

Maternal serum resistin and salivary resistin concentrations were significantly higher in the patients with GDM compared to the individuals in the control group. The data were evaluated by the receiver–operator curve analysis; which revealed that serum and saliva resistin concentrations were moderately successful markers to differentiate subjects with GDM from healthy pregnant women.

Conclusions

The results indicate that the determination of saliva resistin levels at the gestational age between 24 to 28 weeks may be used as an alternative, stress-free, and noninvasive technique that may be used in GDM screening.

摘要

目的：评价无创、无应激的唾液诊断标本中抵抗素水平, 探讨唾液抵抗素水平在筛查妊娠期糖尿病(GDM)中的意义。方法：采用横断面病例对照研究, 包括41例初诊妊娠期糖尿病患者和40例健康孕妇。连续纳入符合条件的孕妇参与研究, 她们的年龄从18岁到40岁不等, 孕周在24到28周之间。采用酶联免疫吸附法测定血清和唾液抵抗素水平。结果：妊娠期糖尿病患者血清抵抗素和唾液抵抗素水平明显高于对照组。受试者工作特征曲线(ROC)分析显示血清和唾液抵抗素浓度是区分妊娠期糖尿病患者和健康孕妇的中等成功的标志物。结论：测定妊娠24∼28周孕妇唾液抵抗素水平可作为一种可选择的、无应激、无创的妊娠期糖尿病筛查方法。

Keywords:

• Gestational diabetes mellitus
• pregnancy
• resistin
• saliva
• serum

Acknowledgments

The authors thank Şebnem Korkmaz, MD, a specialist in Medical Biochemistry, for testing patient samples for resistin and interpreting the results.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was financially supported by the grant [number TSA-2019-968] received from Recep Tayyip Erdogan University’s Scientific Research Committee.