8-oxoguanine DNA Glycosylase (OGG1) may be a Diagnostic Indicator of Diminished Ovarian Reserve (DOR)

Author:

Wu Gengxiang1,Yang Jing1,Xia Jing1,Wang Zehao1,Zou Wen1,Jin Wenyi1

Affiliation:

1. Reproductive Medical Centre, Renmin Hospital of Wuhan University, Wuhan 430060, China

Abstract

Background: Oxidative/antioxidant imbalance is considered a causal cause of diminished ovarian reserve (DOR). 8-oxyguanine DNA glycosylase (OGG1) has been reported to act as an antioxidant by binding non-catalytically to oxidation-induced DNA damage in the promoter region. Objective: This study aimed to evaluate serum OGG1 concentrations in patients with or without DOR and to explore the clinical value of OGG1 as a novel diagnostic indicator for DOR. Methods: Sixty-four women with DOR and seventy-eight women with normal ovarian reserve (NOR) from the reproductive medical center of Renmin Hospital of Wuhan University were included. Enzyme-linked immunosorbent assay (ELISA) kits were used to determine serum OGG1 levels in patients on 2-5 days of the menstrual cycle. Data regarding the enrolled patients were also obtained from the database of the hospital, including age, body mass index (BMI), anti-Müllerian hormone (AMH), etc. Results: OGG1 levels were increased in the DOR group (2.08 ± 0.70 vs 1.46 ± 0.47 nmol/L, P < 0.001) and negatively correlated with AMH levels (Spearman r = -0.586, P < 0.001). After adjusting for age and BMI, a negative association between OGG1 and AMH remained (β = -0.619, P < 0.001). ROC curve analysis showed that a cut-off value of 1.765 nmol/L had an appropriate sensitivity (81.30%) and specificity (76.90%) for discriminating individuals with and without DOR, with the area under the curve (95% CI) of 0.870 (0.814 to 0.926), P < 0.001. Conclusion: We determined that serum OGG1 levels might be suggested as a new diagnostic indicator for DOR.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Bentham Science Publishers Ltd.

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine

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