Vol 87, No 11 (2016)
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Ginekologia Polska nr 11-2

 

ORIGINAL PAPER / GYNECOLOGY

Increased oxidative stress is associated with insulin resistance and infertility in polycystic ovary syndrome

Alev Özer, Murat Bakacak, Hakan Kıran, Önder Ercan, Bülent Köstü, Mine Kanat-Pektaş, Metin Kılınç, Ferhat Aslan

Sütçü Imam University, Turkey

Corresponding author:

Alev Özer

Sütçü Imam University, Turkey

e-mail: dralevozer@gmail.com

Abstract

Objectives: The present study aims to investigate the role of oxidant-antioxidant status in young women with polycystic ovary syndrome (PCOS).

Material and methods: Seventy-one women with PCOS and 53 healthy controls are compared in aspect of demographic characteristics, biochemical data, hormones, and oxidant-antioxidant status.

Results: The PCOS group had significantly lower zinc, higher malondialdehyde and gluthathione peroxidase and lower serum catalase levels than the control group (p = 0.016, p < 0.001, p = 0.043 and p = 0.025 respectively). The PCOS patients with IR had significantly higher malondialdehyde, lower catalase and serum zinc levels than the PCOS patients without IR (p = 0.015, p = 0.010, p = 0.001 respectively). The infertile PCOS patients had significantly higher malondialdehyde, lower catalase and serum zinc levels than the fertile PCOS patients (p = 0.022, p = 0.045,p = 0.001 respectively). There was a statistically significant and positive correlation between HOMA-IR and malondialdehyde values (r = 0.523, p = 0.001), between HOMA-IR and glutathione peroxidase values (r = 0.468, p = 0.001) and between HOMA-IR and zinc values (r = 0.601, p = 0.001). There was a statistically significant and negative correlation between HOMA-IR and catalase values (r = –0.493, p = 0.001).

Conclusions: The patients with PCOS are under oxidative stress and this oxidative stress seems to be the highest in patients with IR and with infertility. Despite the prominent increase in the oxidative stress, there was a variation in the antioxidant response.

Key words: infertility, insulin resistance, oxidative stress, polycystic ovary syndrome

Ginekologia Polska 2016; 87, 11: 733738

INTRODUCTION

Polycystic ovary syndrome is the most common endocrinopathy in women of reproductive age with a prevalence of 510%. This syndrome most frequently occurs as the interactions among the central nervous system, pituitary gland, adrenal glands, ovaries and extra-glandular tissues are impaired. Having a chronic course, PCOS has a negative impact on the quality of life over years. Moreover, PCOS may occur concurrently with hyperandrogenism, hyperinsulinemia, and glucose intolerance, leading to conditions such as infertility, recurrent spontaneous abortions, hyperlipidemia, type 2 diabetes mellitus, hypertension, coronary atherosclerosis, endometrial hyperplasia, and endometrial cancer [1–4].

It has been hypothesized that oxidative stress participates in the pathogenesis of endometriosis, unexplained infertility, male factor infertility, anovulation, and the impairment of oocyte quality in the human reproductive system [5–8]. Therefore, the question has risen about the role of oxidative stress in the pathogenesis of PCOS and related complications [9]. Oxidative stress is defined as the disturbance in the balance between antioxidant defense mechanisms and reactive oxygen species (ROS). This imbalance leads to an increase in ROS, which damages the cell membrane lipids, leading to lipid peroxidation by the formation of malondialdehyde (MDA). It has been demonstrated that oxidative stress is generally enhanced in the tissues of the animals with zinc deficiency and copper abundance [10].

The harmful effects of an increased oxidative load are reduced by antioxidant enzymes such as superoxide dismutase (SOD) and catalase (CAT) that convert ROS to less harmful molecules. When the production of excessive ROS overcomes the natural antioxidant defense system, an unstable environment may emerge for the reproductive cells and tissues [11, 12]. Therefore; it is important to assess the oxidant/antioxidant status in PCOS patients.

OBJECTIVE

The present study aims to investigate the role of oxidant-antioxidant status in young women who are diagnosed with PCOS.

MATERIAL AND METHODS

This descriptive study was approved by the Ethical Committee and Institutional Review Board of Kahramanmaras Sutcu Imam University where it was conducted between January 2014 and December 2015. Written informed consent was obtained from each participant.

Patient Selection and Study Design

This study compares the demographic characteristics, biochemical data, hormones and oxidant-antioxidant status of 71 women with PCOS and 53 healthy controls. The inclusion criteria included the age between 20 and 30 years, the absence of major medical disorders (endocrinologic or neoplastic), and the presence of clinical and biochemical findings of hyperandrogenism in the absence of the ovarian, adrenal and hypophyseal pathologies.

The diagnosis of PCOS was based on the presence of two of the three following criteria: (1) the presence of oligomenorrhea or amenorrhea, (2) clinical and/or biochemical hyperandrogenism, (3) polycystic ovaries on ultrasonography [13].

Healthy controls had regular menstrual cycles lasting 2535 days, normal serum androgen concentrations and mid-luteal serum progesterone level consistent with ovulation ( > 5 ng/mL). The women who smoked, the women who had body mass indices > 30 kg/m2, and the women who were using contraceptive methods or any medication for ovulation were excluded.

Subgroup analysis was done according to the insulin resistance which was calculated using the HOMA-IR index (fasting glucose x fasting insulin/constant). Since fasting glucose value was measured in mg/dL, the constant was set at 405. HOMA-IR > 2.5 was accepted as insulin resistance There were 33 PCOS patients with insulin resistance and 38 PCOS patients without insulin resistance. Subgroup analysis was also done based on the fertility status. There were 41 PCOS patients who did not become pregnant despite one year of unprotected sexual intercourse and 30 PCOS patients who became spontaneously pregnant.

Laboratory studies

Venous blood samples were obtained from the antecubital area by phlebotomy between the hours of 08:00 and 09:00 following 1012 h of fasting. After these samples were allowed to clot, they were centrifuged for 10 minutes at 3000 g. The sera were separated and stored at –70°C until the analysis.

Plasma glucose levels were measured by enzymatic colorimetric assay (GOD-PAP, Roche Diagnostics, Mannheim). Plasma zinc and copper levels were measured by atomic absorption spectrophotometry (ContrAA700, Analytik Jena AG, Germany) with an intra-assay CV of 2.4% and an inter-assay CV of 3.1%. Electrochemoluminescence immunoassay was used to measure serum levels of follicle stimulating hormone (FSH), luteinizing hormone (LH), estradiol, prolactin and 17-hydroxy-progesterone (Roche Elecsys 1010/2010, Roche Diagnostics, Mannheim, Germany). The serum concentrations of dehidroepiandrosterone sulphate (DHEAS), thyroid stimulating hormone (TSH), total testosterone, free testosterone and insulin were measured by radioimmunoassay (DSL Diagnostic Systems Laboratories, USA). The intra-assay CVs were 5.3%, 3.8%, 7.8%, 6.2%, 5.0%, 9.6%, 10.0%, 9.6%, 9.7% and 8.2% whereas the inter-assay CVs were 1.8%, 1.5%, 10.0%, 5.7%, 4.1%, 9.3%, 7.8%, 6.6%, 6.2% and 7.4% for FSH, LH, estradiol, prolactin, 17-hydroxy-progesterone, DHEAS, TSH, total testosterone, free testosterone and insulin respectively.

Oxidant-antioxidant status

After blood samples were centrifuged at 4ºC at 3,000 rpm for 10 minutes, plasma samples were separated as aliquots and stored at –80ºC until the analysis. After removal of plasma, the packed erythrocytes were washed 3 times with 9 g/L NaCl solution and hemolyzed with ice-cold distilled water (1/5, v/v).

The malondialdehyde measurements were performed using the method described by Yagi [14]. This method is based on the spectrophotometric measurement of the red color in the thiobarbituric acid-malondialdehyde complex at 532 nm after the erythrocyte lysate is deproteinized with trichloroacetic acid. The results were calculated as nmol/mL.

After the erythrocyte lysate was diluted to 1:100 with phosphate buffer, the catalase activity was measured with a Shimadzu UV-1208 spectrophotometer (Kyoto, Japan) using the method described by Aebi [15]. This method is based on the decomposition of hydrogen peroxide by catalase. The results were computed as µg/mL.

Superoxide dismutase was measured using a Shimadzu UV-1208 spectrophotometer using the method described by Sun et al. [16]. This method is based on the inhibition of nitroblue tetrazolium reduction with xanthine-xanthine oxidase which is utilized as a superoxide generator. The specific activity was calculated as µg/mL.

Glutathione peroxidase was measured in tissue samples using a Shimadzu UV-1208 spectrophotometer using the method described by Awasthi et al. [17]. This method is based on the decrease in the absorbance at 340 nm. The results were computed as µg/mL.

Statistical analysis

Collected data were analyzed by the Statistical Package for Social Sciences version 18.0 (SPSS Inc., Chicago, IL, USA). Continuous variables were expressed as mean ± standard deviation (range: minimum-maximum) and categorical variables were denoted as numbers or percentages where appropriate. Smirnov-Kolmogorov test was used to test the distribution of the variables. Student t-test, one-way analysis of variance, Mann Whitney U test and Kruskal-Wallis test were used for the comparisons. A post hoc analysis was carried out to determine the two variables between which there is a statistically significant difference. Two-tailed p values less than 0.05 were accepted to be statistically significant.

RESULTS

This study compares the demographic and clinical characteristics of 71 women with PCOS and 53 healthy controls. When compared with the healthy controls, the women with PCOS had significantly lower serum zinc levels and catalase activity (p = 0.016 and p = 0.025 respectively) as well as significantly higher malondialdehyde and gluthathione peroxidase levels (p < 0.001 and p = 0.043 respectively) (Table 1).

Table 1. Demographic, biochemical and oxidant-antioxidant status of the participants

 

Polycystic ovary syndrome

(n = 71)

Healthy controls

(n = 53)

P value

Age (years)

26.2 ± 5.5

29.4 ± 8.8

0.097

Body mass index [kg/m2]

26.9 ± 5.4

23.8 ± 4.7

0.059

Plasma glucose [mg/dL]

90.2 ± 6.1

78.5 ± 7.1

0.004*

Insulin [mIU/L]

13.18 ± 8.9

9.7 ± 6.4

0.015*

HOMA-IR

2.92 ± 2.15

1.88 ± 1.68

0.040*

Follicle stimulating hormone [mIU/mL]

5.84 ± 2.11

6.38 ± 2.45

0.250

Luteinizing hormone [mIU/mL]

7.95 ± 5.06

4.48 ± 2.03

0.001*

Estradiol [pg/mL]

48.01 ± 5.23

48.0 ± 4.85

0.990

Prolactin [ng/mL]

23.39 ± 2.15

18.06 ± 1.34

0.150

DHEAS [µg/dL]

341.2 ± 87.4

366.7 ± 71.9

0.130

17-hydroxy-progesterone [ng/mL]

0.8 ± 0.5

0.6 ± 0.2

0.632

Total testosterone [ng/mL]

1.55 ± 0.91

0.89 ± 0.34

0.001*

Free testosterone [ng/mL]

2.31 ± 0.54

1.46 ± 0.22

0.001*

Thyroid stimulating hormone [µIU/mL]

2.02 ± 1.36

3.31 ± 1.84

0.700

Malondialdehyde [nmol/mL]

23.0 ± 13.8

3.1 ± 2.7

< 0.001*

Catalase [µg/mL]

1875.7 ± 435.1

2302.8 ± 437.3

0.025*

Superoxide dismutase [µg/mL]

31.0 ± 9.0

31.1 ± 8.6

0.988

Gluthathione peroxidase [µg/mL]

3.6 ± 0.4

3.2 ± 0.5

0.043*

Serum zinc [µg/dL]

84.4 ± 25.5

99.4 ± 19.9

0.016*

Serum copper [µg/dL]

85.8 ± 29.5

80.3 ± 32.5

0.465

*p < 0.05 was accepted to be statistically significant

There were 33 PCOS patients with insulin resistance and 38 PCOS patients without insulin resistance. When compared with the healthy controls, PCOS patients with insulin resistance had significantly lower catalase activity (p = 0.008) and significantly lower serum zinc, malondialdehyde and gluthathione peroxidase levels (p = 0.001, p < 0.001 and p = 0.024 respectively).

When compared to PCOS patients without insulin resistance, the PCOS patients with insulin resistance had significantly higher malondialdehyde levels, significantly lower catalase activity and serum zinc levels (p = 0.15, p = 0.10, and p = 0.001 respectively) (Table 2).

Table 2. Characteristics of the participants with respect to insulin resistance

 

IR(+) PCOS

(n = 33)

IR(–) PCOS

(n = 38)

Healthy controls

(n = 53)

P value

Age (years)

26.3 ± 5.6

26.1 ± 5.4

29.4 ± 8.8

0.077

Body mass index [kg/m2]

27.7 ± 5.6

25.2 ± 5.2

23.8 ± 4.7

0.049*

Plasma glucose [mg/dL]

96.5 ± 6.9

88.1 ± 5.7

78.5 ± 7.1

0.027*, 0.050

Insulin [mIU/L]

16.8 ± 9.0

10.1 ± 8.6

9.7 ± 6.4

0.001*

HOMA-IR

4.01 ± 2.83

2.27 ± 2.14

1.88 ± 1.68

< 0.001*, 0.002

FSH [mIU/mL]

5.78 ± 2.19

5.90 ± 2.04

6.38 ± 2.45

0.255

LH [mIU/mL]

8.15 ± 4.92

7.75 ± 5.12

4.48 ± 2.03

0.001*

Estradiol [pg/mL]

50.05 ± 5.13

46.02 ± 4.78

48.0 ± 4.85

0.990

Prolactin [ng/mL]

25.39 ± 2.15

21.24 ± 2.54

18.06 ± 1.34

0.150

DHEAS [µg/dL]

351.2 ± 91.4

318.9 ± 89.0

366.7 ± 71.9

0.130

17-OH-P [ng/mL]

1.1 ± 0.6

0.7 ± 0.4

0.6 ± 0.2

0.514

Total testosterone [ng/mL]

1.79 ± 1.15

1.33 ± 0.86

0.85 ± 0.34

0.030*

Free testosterone [ng/mL]

2.51 ± 0.74

2.08 ± 0.53

1.46 ± 0.22

0.040*

TSH [µIU/mL]

2.14 ± 1.36

2.00 ± 1.11

3.31 ± 1.84

0.766

Malondialdehyde [nmol/mL]

31.1 ± 20.7

14.4 ± 6.3

3.1 ± 2.7

< 0.001*, 0.015

Catalase [µg/mL]

1278.9 ± 235.1

2294.3 ± 652.4

2302.8 ± 437.9

0.008*, 0.010

Superoxide dismutase [µg/mL]

31.9 ± 9.5

30.5 ± 8.2

31.1 ± 8.6

0.988

GTP [µg/mL]

3.9 ± 0.7

3.6 ± 0.4

3.2 ± 0.5

0.024*

Serum zinc [µg/dL]

70.3 ± 24.7

98.1 ± 31.5

99.4 ± 19.9

0.001*

Serum copper [µg/dL]

89.0 ± 28.4

82.7 ± 30.3

80.3 ± 32.5

0.169

*There is statistically significant difference between the infertile PCOS and healthy control groups There is statistically significant difference between the infertile and fertile PCOS groups IR insulin resistance, PCOS polycystic ovary syndrome, FSH follicle stimulating hormone, LH luteinizing hormone, DHEAS dehidroepiandrosterone sulphate, 17-OH-P 17-hydroxy-progesterone, TSH thyroid stimulating hormone, GTP gluthathione peroxidase

There were 41 PCOS patients with infertility and 30 PCOS patients without infertility. When compared with the healthy controls, the infertile PCOS patients had significantly higher lower concentrations of serum zinc levels and catalase activity (p = 0.001, p = 0.050 respectively) as well as significantly higher malondialdehyde and gluthathione peroxidase levels (p < 0.001 and p = 0.004 respectively). When compared to fertile PCOS patients, infertile PCOS patients had significantly higher malondialdehyde levels, lower catalase activity and serum zinc levels (p = 0.022, p = 0.045, p = 0.001 for each) (Table 3).

Table 3. Characteristics of the participants with respect to fertility

 

Infertile PCOS

(n = 41)

Fertile PCOS

(n = 30)

Healthy controls

(n = 53)

P value

Age (years)

26.3 ± 5.6

26.1 ± 5.4

29.4 ± 8.8

0.077

Body mass index [kg/m2]

28.4 ± 5.9

26.3 ± 4.8

23.8 ± 4.7

0.005*

Plasma glucose [mg/dL]

91.5 ± 6.9

87.1 ± 5.7

78.5 ± 7.1

0.034*, 0.049

Insulin [mIU/L]

18.4 ± 8.9

13.1 ± 8.2

9.7 ± 6.4

0.021*, 0.031

HOMA-IR

4.16 ± 2.83

2.79 ± 2.12

1.88 ± 1.68

< 0.001*, 0.027

FSH [mIU/mL]

6.14 ± 2.19

5.54 ± 2.04

6.38 ± 2.45

0.238

LH [mIU/mL]

7.93 ± 4.92

7.45 ± 5.12

4.48 ± 2.03

0.001*

Estradiol [pg/mL]

49.95 ± 5.21

47.12 ± 4.52

48.0 ± 4.85

0.988

Prolactin [ng/mL]

23.39 ± 2.33

24.24 ± 2.66

18.06 ± 1.34

0.176

DHEAS [µg/dL]

388.2 ± 87.4

338.6 ± 90.2

366.7 ± 71.9

0.144

17-OH-P [ng/mL]

1.0 ± 0.6

0.9 ± 0.4

0.6 ± 0.2

0.073

Total testosterone [ng/mL]

1.63 ± 1.12

1.44 ± 0.87

0.85 ± 0.34

0.042*

Free testosterone [ng/mL]

2.91 ± 0.94

2.38 ± 0.44

1.46 ± 0.22

0.044*

TSH [µIU/mL]

2.10 ± 1.26

1.99 ± 1.64

3.31 ± 1.84

0.850

Malondialdehyde [nmol/mL]

32.1 ± 20.7

10.4 ± 6.3

3.1 ± 2.7

< 0.001*, 0.022

Catalase [µg/mL]

1488.7 ± 253.1

2471.3 ± 670.1

2302.8 ± 437.9

0.050*, 0.045

Superoxide dismutase [µg/mL]

32.0 ± 9.7

29.3 ± 10.2

31.1 ± 8.6

0.880

GTP [µg/mL]

4.0 ± 1.1

3.4 ± 0.2

3.2 ± 0.5

0.004*

Serum zinc [µg/dL]

68.7 ± 26.4

100.2 ± 33.3

99.4 ± 19.9

0.001*

Serum copper [µg/dL]

88.2 ± 29.2

83.9 ± 31.3

80.3 ± 32.5

0.477

*There is statistically significant difference between the IR (+) PCOS and healthy control groups There is statistically significant difference between the IR (+) and IR (–) PCOS groups IR insulin resistance, PCOS polycystic ovary syndrome, FSH follicle stimulating hormone, LH luteinizing hormone, DHEAS dehidroepiandrosterone sulphate, 17-OH-P 17-hydroxy-progesterone, TSH thyroid stimulating hormone, GTP gluthathione peroxidase

There was a statistically significant and positive correlation between HOMA-IR and malondialdehyde values (r = 0.523, p = 0.001), between HOMA-IR and glutathione peroxidase values (r = 0.468, p = 0.001) and between HOMA-IR and zinc values (r = 601, p = 0.001). There was a statistically significant and negative correlation between HOMA-IR and catalase values (r = –0.493, p = 0.001).

DISCUSSION

Oxidative stress may cause changes in biological molecules and these changes may have cumulative effects on biological structures which may refer to a hazardous impact on cells, tissues and organs. Oxidative stress is associated with the pathogenesis of several chronic diseases including diabetes mellitus, atherosclerosis and ischemia-reperfusion injury [6–9].

Recently published studies have focused on the effects of oxidative stress on the female reproductive system. It has been reported that superoxide dismutase participates in the implantation process and the presence of antioxidants in follicular fluid directly correlates with the success of in vitro fertilization [18, 19]. Therefore, it has been suggested that adoption of a healthy diet, utilization of multivitamins, and avoidance from alcohol, smoking and caffeine may help to provide a balanced oxidative-antioxidative environment and, thus, to enhance fertility in the female reproductive system [20].

Oxidative stress is increased in PCOS patients. In an Iran study, the women with PCOS were found to have significantly higher advanced oxidation protein products and significantly lower total antioxidant status when compared to those of the age- and body mass index-matched healthy controls [9].

Oxidative stress in PCOS patients was previously linked to obesity [21, 22]. However, a few other studies were able to detect increased oxidative stress even in lean PCOS patients [23, 24]. That’s why; insulin resistance has been implicated as a causal factor the increased oxidative stress in affected women. Insulin resistance causes hyperglycemia which triggers the release of reactive oxygen species from the mononuclear cells and, thus, induces oxidative stress. Oxidative stress leads to cellular damage and activates the transcription of pro-inflammatory cytokines such as tumor necrosis factor-alpha which is a known mediator of insulin resistance. This pro-inflammatory state may contribute to the development of insulin resistance and hyperandrogenism as well [25].

In a Turkish study, the PCOS patients with insulin resistance were found to have significantly higher malondialdehyde levels, significantly lower thiol levels, significantly lower superoxide dismutase activity and lower catalase activity than the PCOS patients without insulin resistance [26]. The present study also reports that PCOS patients with insulin resistance had significantly higher malondialdehyde levels, significantly lower catalase activity and serum zinc levels when compared to the PCOS patients without insulin resistance.

The significantly higher malondialdehyde levels and significantly lower zinc levels may indicate increased oxidative stress in relation with insulin resistance for the PCOS patients. On the contrary, lower catalase levels may indicate the inhibition of antioxidant enzymes in PCOS patients with insulin resistance. Such an inhibition may be related with the existence of advanced stage PCOS which might have prevented any alterations to take place in the antioxidant enzyme concentrations.

It is well known that zinc plays a critical role in the function of metalloproteins by activating oxidoreductases, hydrolases, ligases and lyases. This element also participates in insulin synthesis secretion, signaling and metabolism and acts together with copper in the functions of superoxide dismutase and catalase. Therefore, zinc deficiency may have a role as either an initiator or promoter of the underlying mechanisms and metabolic features of PCOS by means of causing insulin resistance, decreasing antioxidant capacity and inducing apoptosis. Moreover, it is possible that decreased antioxidant capacity can be aggravated by zinc deficiency and insulin resistance in women with PCOS [27].

Turan et al. were the first to investigate the relationship between oxidative stress markers and fertility status in PCOS patients. They found that the malondialdehyde levels were significantly higher and thiol levels were significantly lower in infertile PCOS patients when compared to fertile PCOS patients. Accordingly, it has been concluded that lower thiol levels and higher antioxidant enzyme levels might point out a compensatory antioxidative mechanism in the reviewed young and lean patients [26].

As for the present study, the PCOS patients with infertility had significantly higher malondialdehyde levels, significantly lower catalase levels and serum zinc concentrations than those of the fertile PCOS patients. These significantly higher malondialdehyde levels and significantly lower zinc levels may reflect increased oxidative stress and impaired ovulation within the ovaries of PCOS patients. However, lower catalase levels may show the determent of any antioxidant enzymes in women with PCOS.

The studies aiming to assess the oxidant-antioxidant status in PCOS patients demonstrated disruption in the oxidant-antioxidant balance in these patients. Moreover, there was a variation in the antioxidant response despite the prominent increase in the oxidative stress. This variation could be attributed to the differences in the demographic and genetic differences in the expression of antioxidant enzymes [24].

CONCLUSIONS

In conclusion, the patients with PCOS are under oxidative stress and this oxidative stress seems to be the highest in patients with insulin resistance and patients with infertility. The power of this conclusion is limited by the relatively small sample size, the concurrent existence of insulin resistance and infertility in a relatively higher proportion of the PCOS patients. Further research is warranted to clarify the role of the oxidative stress in the pathogenesis of PCOS.

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