hOGG1 gene polymorphisms and susceptibility to polycystic ovary syndrome

  • Authors:
    • Yanjie Xia
    • Wenqing Wang
    • Lei Wang
    • Shanmei Shen
    • Yunxia Cao
    • Long Yi
    • Qian Gao
    • Yong Wang
  • View Affiliations

  • Published online on: February 16, 2016     https://doi.org/10.3892/br.2016.600
  • Pages: 421-426
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Abstract

Oxidative stress generates 8-hydroxy-2'-deoxyguanine (8-oxodG), which can structurally modify DNA. Glycosylase hOGG1 can remove the mutagenic lesion 8-oxodG from DNA. The aim of the present study was to determine whether polymorphisms in hOGG1 were associated with the risk of polycystic ovary syndrome (PCOS). One common single-nucleotide polymorphism (Ser326Cys) in exon 7 and four rare polymorphisms (c.‑18G>T, c.‑23A>G, c.‑45G>A and c. ‑53G>C) were screened in the 5' untranslated region of the hOGG1 gene. No such distributional differences were observed between the PCOS patients and controls either in the genotype frequency or in the allele frequency. There were no differences in the clinical variables among the different genotypes in all the variants, except that the follicle-stimulating hormone level was elevated in the GC genotype of c. ‑53G>C in PCOS patients (P=0.002). These results suggest that the polymorphisms in hOGG1 may not be an independent risk factor for PCOS.

Introduction

In the living cells of aerobic organisms, reactive oxygen species (ROS) are continuously produced in various physiological processes, such as metabolic and other biochemical reactions. A low level of ROS is essential for maintaining physiological function and biochemical pathway processing, including intracellular signaling pathways in cell differentiation, proliferation, apoptosis (1) and immunity (2). By contrast, high levels of ROS can cause oxidative stress damaging biological macromolecules, such as membrane lipids, proteins and DNA, which may lead to metabolic malfunctions (35). 8-Hydroxy-2′-deoxyguanine (8-OHdG) induces ROS-mediated oxidative damage by promoting the transversion of G/C to A/T, as it has a higher affinity for pairing with adenine (A) rather than cytosine (C) (6). Base excision repair (BER) of DNA reverses a number of spontaneous and environmentally induced genotoxic or miscoding base lesions in a process initiated by DNA glycosylases (7). Human OGG1 (hOGG1) efficiently repairs the incorrect or damaged bases by removing 8-OHdG, as part of the BER pathway (8).

Previous studies have reported several polymorphisms in the hOGG1 gene (9,10). In vitro activity assays confirmed that some of the variants affect hOGG1 expression resulting in a substantially higher DNA repair activity. Variants in the hOGG1 gene have been investigated in numerous diseases (1113). A number of genetic variants in the hOGG1 gene may alter the repair function and thus contribute to the development of ROS-related diseases.

PCOS is one of the most common reproductive endocrine disorders, affecting 5–10% of women of reproductive age (14). PCOS is a heterogeneous syndrome characterized by clinical and/or biochemical androgen excess, polycystic ovaries and ovulatory dysfunction (15). While the etiology of PCOS remains to be elucidated, accumulating evidence suggests that chronic low-grade inflammation strengthens the development of metabolic aberration and ovarian dysfunction in this disorder (16,17). Circulating TNF-α levels are elevated in PCOS patients (18). TNF-α is mainly derived from mononuclear cells (MNCs), and hyperglycemia can further induce MNCs to produce TNF-α and ROS (18,19). TNF-α and ROS in turn exacerbate the inflammatory process, resulting in chronic inflammation in PCOS patients. The hOGG1 gene is associated with decreased insulin sensitivity (20), a common feature of certain PCOS patients. Therefore, we hypothesize that a link between the hOGG1 gene and PCOS may exist.

Materials and methods

Subjects

A total of 865 individuals, consisting of 425 PCOS patients and 440 non-PCOS control women, were involved in the present study. All the participants were of Han Chinese origin. Peripheral venous blood samples were collected at Nanjing Drum Tower Hospital of Nanjing University, Memorial Hospital of Sun Yat-Sen University (Nanjing, Jiangsu, China), and at the Department of Obstetrics and Gynecology of Anhui Medical University (Hefei, Anhui, China) between 2004 and 2013. The PCOS patients were diagnosed based on the 2003 Rotterdam Criteria (15). All the controls had normal ovulatory menstrual cycles and did not show hirsutism or other manifestations of hyperandrogenism. Serum hormone levels and clinical variables [including age and body mass index (BMI)] were measured as previously described (21). The study was approved by the Ethics Committee of Nanjing University and informed consent was obtained from each participant.

Polymorphism genotyping analysis in the hOGG1 gene

Genomic DNA was isolated from peripheral blood leukocytes using an UltraPure™ Genome DNA kit (SBS Genetech Co., Ltd., Shanghai, China) and stored at −80°C. A DNA fragment containing part of the 5′ untranslated region (UTR) and the full region of exon 1 was amplified with the primers: Forward, 5′-AGG AGG TGG AGG AAT TAA GT-3′ and reverse, 5′-GGC TTC TCA GGC TCA GTC A-3′, as described previously (9,11). Amplification of DNA sequences, including Ser326Cys polymorphism in exon 7, was carried out with: Forward primer, 5′-GGA AGG TGC TTG GGG AAT-3′ and reverse primer, 5′-ACT GTC ACT AGT CTC ACC AG-3′. Polymorphism chain reaction (PCR) was run in a total volume of 25 µl containing 50 ng of genomic DNA, 6 pmol of each primer, 2.5 µl short tandem repeat 10X buffer (Promega, Madison, WI, USA) and 0.75 units of GoTaq DNA polymerase (Promega). The PCR protocol was conducted as follows: Denaturing at 95°C for 5 min, followed by 30 cycles consisting of 30 sec of denaturation at 94°C, 30 sec of annealing at 60°C for 5′-UTR or 58°C for exon 7, and 30 sec of extension at 72°C; and a final single extension of 10 min at 72°C. For 5′-UTR, the genotyping was carried out by direct sequencing on an ABI 3130 automated sequencer at Nanjing Springen Bio-Technique Corp. (Nanjing, China). Genotyping for the hOGG1 Ser326Cys polymorphism was performed by the PCR-restriction fragment length polymorphism (RFLP) assay. Briefly, a 200-base pair (bp) PCR product was digested at 37°C with Fnu4HI (Thermo Fisher Scientific, Inc., San Jose, CA, USA) for 16 h resulting in a single 200-bp band for the homozygous Ser/Ser hOGG1 variant, a single 100-bp band for the homozygous Cys/Cys hOGG1 variant, and double bands of 200 and 100 bp for the heterozygous Ser/Cys hOGG1 variant. Digestion was visualized following electrophoresis on a 3% agarose gel containing ethidium bromide. Finally, 100 DNA samples were randomly selected for direct sequence to validate Ser326Cys.

Serum hormone determination

Venous blood samples were collected in the early follicular phase (days 3–5) of the menstrual cycle for those who had menstrual cycles and at any time for those who were amenorrheic. Prior to sample collection, all participants went through a 12-h overnight fast. Serum estradiol (E2), testosterone (T), luteinizing hormone (LH) and follicle-stimulating hormone (FSH) were determined by radioimmunoassay (Beijing North Institute of Biological Technology of China, Beijing, China and the CIS Company of France, Gif-sur-Yvette, France). The intra-assay and inter-assay coefficients of variation were <10% for all the assays.

Statistical analysis

Fisher's exact test or χ2 test was used when appropriate to detect the association between genotypic variants in the hOGG1 gene. The PCOS risks were determined by the odds ratio (OR) and its corresponding 95% confidence intervals (CIs). Genotype frequencies for each single-nucleotide polymorphism (SNP) were determined for Hardy-Weinberg equilibrium in the control group. The results of serum hormone levels, age and BMI are reported as the mean ± standard deviation. Genotypic distribution analysis between PCOS and control was carried out by Fisher's exact test. Biochemical steroid levels among different genotypes were compared by analysis of covariance to correct for age and BMI. All the statistical analysis was performed using the statistical program SPSS version 17.0 (SPSS, Inc., Chicago, IL, USA). P<0.05 was considered to indicate a statistically significant difference.

Results

Clinical characteristics of PCOS and control subjects

Clinical variables and serum steroid hormone levels were compared between women with PCOS and controls (Table I). PCOS patients had significantly higher BMI, testosterone levels and LH/FSH ratios as compared with healthy control women.

Table I.

Clinical and endocrine characteristics of PCOS patients and controls.

Table I.

Clinical and endocrine characteristics of PCOS patients and controls.

PatientsTotal, nAge, yearsBMIa, kg/m2FSHa, IU/lLHa, IU/lLH/FSHaE2a, pg/mlTa, nmol/l
Control440 33.02±5.39 21.95±3.91 8.36±8.32   5.62±4.86 0.75±0.50 65.33±58.40 2.45±1.75
PCOS425 26.95±6.79 22.96±6.13 5.97±3.22 11.77±8.96 2.26±3.04   79.3±69.22   2.7±6.02

a P<0.05 between the PCOS and control groups. Data are mean ± standard deviation. BMI, body mass index; FSH, follicle-stimulating hormone; LH, luteinizing hormone; E2, estradiol; T, testosterone; PCOS, polycystic ovary syndrome.

Distribution of the hOGG1 gene variants

Five variants were screened in a case-control study that included 425 PCOS patients and 440 age-matched controls by direct sequencing and/or RFLP (Fig. 1A and B). Four of the variants were SNP, namely, c.-18G>T, c.-23A>G, c. −53G>C and Ser326Cys. The genotypic distributions of the four SNPs were consistent with Hardy-Weinberg equilibrium in the control group. A rare variation, c.-45G>A, was only observed in the normal controls with an extremely low allele frequency (<1%), while another previously reported rare variation, c.-63G > C, was not detected in the Chinese population examined in the present study. Of note, the four closely adjacent variants did not appear to belong to an individual linkage disequilibrium block, as there were no combined variants in the whole population investigated.

No significant differences were detected in the genotype frequency or allele frequency in all five variations between patients and control (Table II). There were no differences in the clinical variables and hormone levels among the different genotypes in all the variants, except that the FSH level was elevated in the GC genotype (P=0.002) of c. −53G>C in PCOS patients (Tables IIIVII). Furthermore, the potential joint effect between the four rare variants and Ser326Cys was investigated to evaluate the risk of the combined variants in PCOS. However, no significant association was found in each individual allele (Table II) or genotype combinations (data not shown).

Table II.

Germline hOGG1 variations and genotype/allele frequencies in the case-control study.

Table II.

Germline hOGG1 variations and genotype/allele frequencies in the case-control study.

Total, n (%)

SNP sites Genotype/allelePCOS (n=425)Control (n=440) P-valueaOR (95% CI)b
c.-53G>CGC10 (2.4)5 (1.1)0.1992.096 (0.711–6.185)
GG415 (97.6)435 (98.9) 1
C10 (1.2)5 (0.6)0.2012.083 (0.709–6.121)
G840 (98.8)875 (99.4) 1
c.-45G>AGA0 (0.0)2 (0.4)0.500
GG425 (100.0)438 (99.6)
A0 (0.0)2 (0.2)0.500
G850 (100.0)878 (99.8)
c.-23A>GAG7 (1.6)14 (3.2)0.1850.510 (0.204–1.275)
AA418 (98.4)426 (96.8) 1
G7 (0.8)14 (1.6)0.1880.514 (0.206–1.279)
A843 (99.2)866 (98.4) 1
c.-18G>TGT13 (3.0)20 (4.5)0.2890.663 (0.325–1.350)
GG412 (97.0)420 (95.5) 1
T13 (1.5)20 (2.3)0.2940.668 (0.330–1.351)
G837 (98.5)860 (97.7) 1
Ser326CysGG156 (36.7)141 (32.0) 1.314 (0.878–1.966)
(C>G)CG205 (48.2)223 (50.7)0.3191.092 (0.744–1.601)
CC64 (15.1)76 (17.3) 1
G517 (60.8)505 (57.4)0.1461.153 (0.952–1.397)
C333 (39.2)375 (42.6) 1

a Data were analyzed for the frequencies of genotypes or alleles between cases and controls carried out by Fisher's exact test.

b OR (95% CI) were calculated as the wild genotype. SNP, single-nucleotide polymorphism; PCOS, polycystic ovary syndrome; OR, odds ratio; CI, confidence interval.

Table III.

Comparisons of variants at c.-53 G>C for women with or without PCOS in terms of anthropometric characteristics and serum hormone concentrations.

Table III.

Comparisons of variants at c.-53 G>C for women with or without PCOS in terms of anthropometric characteristics and serum hormone concentrations.

Control PCOS


GenotypesGGGCP-valueGGGCP-value
Age, years 32.99±5.35 36.67±10.400.240 26.89±6.73 29.33±9.350.384
BMI, kg/m2 21.95±3.92 21.54±1.460.856 22.96±6.17 22.97±4.830.994
FSH, IU/l 8.33±8.33 11.75±7.980.480 5.86±2.77 10.36±11.510.002a
LH, IU/l 5.63±4.88 4.97±1.790.815 11.72±9.04 14.08±4.660.562
LH/FSH 0.75±0.50 0.48±0.130.356 2.26±3.07 2.17±0.990.947
T, nmol/l 2.46±1.74 0.24±00.207 2.70±6.09 2.49±1.160.938
E2, pg/ml 65.68±58.51 26.83±27.250.252 79.18±69.64 84.35±55.600.869

a P<0.05. Statistical analyses were carried out by analysis of covariance to correct for age and BMI. Data are mean ± standard deviation. BMI, body mass index; FSH, follicle-stimulating hormone; LH, luteinizing hormone; E2, estradiol; T, testosterone.

Table VII.

Comparisons of Ser326Cys (C>G) for women with or without PCOS in terms of anthropometric characteristics and serum hormone concentrations.

Table VII.

Comparisons of Ser326Cys (C>G) for women with or without PCOS in terms of anthropometric characteristics and serum hormone concentrations.

Control PCOS


GenotypesCCCGGGP-valueCCCGGGP-value
Age, years 31.48±2.65 33.12±5.03 35.88±5.640.675 25.95±8.01 28.13±4.03 30.88±6.740.468
BMI, kg/m2 21.46±3.74 21.99±2.33 21.77±3.740.897 22.56±5.66 23.43±4.51 22.78±3.780.649
FSH, IU/l 7.79±7.49 8.68±2.94 8.29±4.470.469 5.78±4.23 6.13±4.46 5.89±2.230.657
LH, IU/l 5.67±4.74 5.74±4.04 4.96±3.740.658 11.59±6.99 12.84±9.00 8.66±6.740.371
LH/FSH 0.78±0.16 0.75±0.69 0.74±0.230.865 2.31±1.92 2.27±1.03 1.76±1.890.582
T, nmol/l 2.49±1.32 2.32±0.19 2.45±1.960.618 2.80±1.64 2.44±1.96 2.68±1.870.654
E2, pg/ml 59.90±41.59 65.60±48.22 66.81±48.730.413 67.16±48.37 77.80±58.11 81.49±64.770.200

[i] Statistical analyses were carried out by analysis of covariance to correct for age and BMI. Data are mean ± standard deviation. BMI, body mass index; FSH, follicle-stimulating hormone; LH, luteinizing hormone; E2, estradiol; T testosterone.

Discussion

PCOS is a complex endocrine disease with no clear etiology. Accumulating evidence suggests that genetic and environmental factors contribute to its occurrence and development (22). Familial clustering of PCOS or PCOS-related metabolic symptoms indicates a genetic origin (23,24), although no consensus of the inheritance mode has been reached. To date, significant attention has been focused on the genes involved in the androgen biosynthetic pathways (CYP11, CYP17 and CYP19) and insulin-related pathways (INS and INSR). However, other genes that are crucial in maintaining normal metabolic functions, such as insulin sensitivity preservation may show a link with this metabolic disease. The hOGG1 gene is critical in BER. Several polymorphisms in hOGG1 have been identified as associated with insulin sensitivity and type 2 diabetes mellitus (T2MD). The underlying role of ROS-induced oxidative stress in PCOS together with the correlation between ROS and the BER system provide us with a new insight into the possible causes of PCOS. To the best of our knowledge, this is the first time that functional polymorphisms in the hOGG1 gene in Chinese PCOS patients have been investigated.

The structure and functions of hOGG1 have been well studied and several of its polymorphisms have been identified. Specifically, certain polymorphisms in hOGG1 that are associated with insulin sensitivity or T2MD have been reported, indicating the functional involvement of hOGG1 in the maintenance of normal glucose metabolism (9,20,25). Previous studies have reported an association between oxidative stress and insulin resistance not only in the context of diabetes, but also in nondiabetic individuals and in those with metabolic syndromes (2628). Consequently, increased generation of ROS in response to oxidative stress in metabolic syndromes prompted other investigators to focus on genomic instability and DNA damage that are associated with hOGG1.

The present study investigated four rare SNPs in 5′-UTR and a common SNP (Ser326Cys) in exon 7 of the hOGG1 gene in a case-control study of PCOS. The 5′-UTR region is known to modulate gene expression at the post-transcriptional level by influencing mRNA stability and translational efficiency medicated by transcription factors (TF) (29,30). The inactivation or induction of the corresponding TF can modulate the expression of the hOGG1 gene, thus influencing the activity of the protein (31,32). Previous studies revealed that certain types of functional variants in the 5′-UTR of the hOGG1 gene are capable of increasing the risks of diseases, including cancer (9,11,33,34). The present finding suggests that there was no significant correlation between the variants in hOGG1 and the PCOS risk. Although the FSH level was elevated in the GC genotype of c. −53G>C in PCOS patients, it is difficult to provide any reasonable explanation for this phenomenon. The polymorphism Ser326Cys in the hOGG1 gene is shown to be associated with OGG1 activity in in vitro and in vivo studies, and it is suggested that the 326Cys allele may pose a higher risk of 8-oxoG formation in DNA (35,36). The associations between the hOGG1 Ser326Cys polymorphism and various diseases have been extensively investigated. However, conflicted results, even in the same disease, have been reported (37,38). The present study does not support an association of this polymorphism with PCOS susceptibility. Given the low allele frequency of the variants in 5′-UTR of hOGG1, further studies with a larger sample size are required to confirm these findings.

In conclusion, hOGG1 is not an independent risk factor for PCOS development, and no putative linkage to the syndrome could be established.

Acknowledgements

The authors are grateful to all the members who participated in the present study. This study was supported by grants from the National Natural Science Foundation of China (no. 81170541) and the Natural Basic Research Program of China (no. 973 program 2010CB 945103).

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Xia Y, Wang W, Wang L, Shen S, Cao Y, Yi L, Gao Q and Wang Y: hOGG1 gene polymorphisms and susceptibility to polycystic ovary syndrome. Biomed Rep 4: 421-426, 2016
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Xia, Y., Wang, W., Wang, L., Shen, S., Cao, Y., Yi, L. ... Wang, Y. (2016). hOGG1 gene polymorphisms and susceptibility to polycystic ovary syndrome. Biomedical Reports, 4, 421-426. https://doi.org/10.3892/br.2016.600
MLA
Xia, Y., Wang, W., Wang, L., Shen, S., Cao, Y., Yi, L., Gao, Q., Wang, Y."hOGG1 gene polymorphisms and susceptibility to polycystic ovary syndrome". Biomedical Reports 4.4 (2016): 421-426.
Chicago
Xia, Y., Wang, W., Wang, L., Shen, S., Cao, Y., Yi, L., Gao, Q., Wang, Y."hOGG1 gene polymorphisms and susceptibility to polycystic ovary syndrome". Biomedical Reports 4, no. 4 (2016): 421-426. https://doi.org/10.3892/br.2016.600