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}{% \vskip8pt \textcolor{GJMediumGrey}{\rule{\textwidth}{2pt}} \vskip16pt } \usepackage[absolute,overlay]{textpos} \makeatother \usepackage{lineno} \linenumbers \begin{document} \author[1]{Hamza J. Mohammed} \affil[1]{ University of Kufa} \renewcommand\Authands{ and } \date{\small \em Received: 14 December 2012 Accepted: 1 January 2013 Published: 15 January 2013} \maketitle \begin{abstract} The current study was designed to investigate the changes of oxidative stress (OS) in primary infertility of females. To achieve the intended aim, 84 infertile women of ages 28.66 ± 6.29 years (mean ± SD) and 30 healthy fertile women of ages 30.3± 6.45 years (mean±SD) were enrolled. The levels of malondialdehyde (MDA), catalase (CAT) and glutathione-S-transferase (GST) were determined by spectrophotometric methods. Serum follicule stimulating hormone (FSH) and luteinizing hormone (LH) levels were measured by an enzyme linked fluorescent assay (ELFA). The results indicated a significant (p<0.001) increase of MDA concentration and significant (p<0.001) decreases of CAT and GST activities in the infertile women when compared with those of the control group. The linear regression analysis demonstrated significant (r = 0.27,p<0.05) positive correlation for MDA levels and significant negative correlations for CAT (r = -0.24, p<0.05) and GST levels (r = -0.26,p<0.05) with the age of infertile women.Changes of oxidative stress was observed to be dependent on the body mass index (BMI) and the duration of infertility of the enrolled women. The changes of MDA, CAT and GST levels seem to be independent on etiology of infertility and the menstruation pattern. The2linear regression analysis revealed significant (r = 0.28, p<0.05) positive correlation for MDA levels with the FSH concentration and significant(r = -0.29, p<0.05) negative correlation with the LH concentration.CAT exhibited significant (r = 0.30, p<0.05) positive correlation with the FSH concentration, while GST activity demonstrated significant(r = 0.24, p<0.05) positive correlation with the LH concentration.These results suggest that oxidative stress is involved in the path ophysiology of primary infertility in females, in particular through the directing of gonadotrophin changes in these patients. \end{abstract} \keywords{} \begin{textblock*}{18cm}(1cm,1cm) % {block width} (coords) \textcolor{GJBlue}{\LARGE Global Journals \LaTeX\ JournalKaleidoscope\texttrademark} \end{textblock*} \begin{textblock*}{18cm}(1.4cm,1.5cm) % {block width} (coords) \textcolor{GJBlue}{\footnotesize \\ Artificial Intelligence formulated this projection for compatibility purposes from the original article published at Global Journals. However, this technology is currently in beta. \emph{Therefore, kindly ignore odd layouts, missed formulae, text, tables, or figures.}} \end{textblock*} \let\tabcellsep& \section[{Introduction}]{Introduction}\par xidative stress (OS) is a common condition caused by biological systems in aerobic conditions such that antioxidants cannot scavenge the reactive oxygen species (ROS). This causes an excessive generation of ROS, which damages cells, tissues, and organs \hyperref[b0]{(1)}. Evidence suggests that OS induced by ROS such as superoxide anion (O2?¯), hydroxyl radicals (OH?) and a range of lipid peroxyl radicals produced in vascular cells is involved in the pathogenesis of a wide range of diseases of there productive system such as endometriosis and infection \hyperref[b3]{(2)}.\par OS impacts fertilization and can further induce apoptosis, resulting in embryo fragmentation, implantation failure, or abortion. In the fallopian tubes, OS may induce damaging effects in an embryo. The endometrium, which facilitates embryo implantation and development, can become defective when the female reproductive tract experiences an ROS-antioxidant imbalance \hyperref[b6]{(3)}. OS may hinder the support required for the continuation of a pregnancy by causing luteal regression and insufficient luteal hormone levels \hyperref[b8]{(4)}. Several other known causes of infertility, such as endometriosis, hydrosalpinx, polycystic ovarian disease, unexplained infertility, and recurrent pregnancy loss (RPL) may be attributed to O in the environment \hyperref[b9]{(5)}. \hyperref[b6]{3} OS induces infertility in women through a varietyof mechanisms. Ovarian follicles experiencing OS can lead to direct damage to oocytes. Oocytes and spermatozoa can also experience direct damage, which can lead to impaired fertilization due to an environment of OS in the peritoneal cavity. Even when fertilization occurs, apoptosis leading to embryo fragmentation, implantation failure, abortion, or congenital abnormalities in offspring can occur. OS in the fallopian tubes can cause direct adverse effects on the embryo defects in the endometrium, which normally supports the embryo and its development, can arise when there is an ROS antioxidant imbalance in the female reproductive tract \hyperref[b6]{(3)}.ROS-antioxidant imbalance is also implicated in luteal regression and insufficient luteal hormonal support for the continuation of a pregnancy \hyperref[b8]{(4)}. OS has been implicated in many other causes of infertility, such asendo metriosis, hydrosalpinx, polycystic ovarian disease, unexplained infertility, and recurrent pregnancy loss \hyperref[b11]{(6)}. \section[{II. Patients And The Control Groups}]{II. Patients And The Control Groups}\par A total of eighty four women with primary infertility of age's 18-41years with a mean ± SD 28.66 ±6.29 years attending the fertility centerin the AL-Sadder Teaching Hospital in Najaf city fromOctober2008 to May 2009 were included in the study. To compare the results, thirty healthy age matched (mean ± SD 30.3±6.45 years) females with history of at least one child birth were also enrolled. Subjects suffered from diseases (hypertension, asthma and diabetes mellitus) interfere with the data obtained were excluded.\par Disposable syringes and needles were used for blood collection. Venous blood samples, about 10 ml were collected from patients and healthy volunte erson day-2 of their menstrual cycle in tubes. After4allowing the blood to clot at room temperature for 15 min, blood samples were centrifuged at 3000 xg for 15 min. Sera were separated and divided into five aliquot samples stored at \textunderscore 17C°, two for determination of the hormonal profile, the three others were used for estimation of oxidatives tress parameters. \section[{III. Determination of Malondialdehyde,}]{III. Determination of Malondialdehyde,}\par Catalase and Glutathione -S -Transferase Levels\par The level of malondialdehyde was determined by modified procedure described by Guidet B. and Shah S.V. \hyperref[b13]{(7)}.\par Catalase (CAT) activity was determined by the measurement of the decrease in the absorbance due to hydrogen peroxide (H2O2) consumption as described by Aebi H. \hyperref[b14]{(8)}.\par GST activity was analyzed by measuring the conjugation of glutathione (GSH) and 1-chloro2, 4dinitrobenzene (CDNB) as asubstrate, as described by Habig WH.et al ( {\ref 9}) \section[{IV. Determination of Serum FSH And LH Concentration}]{IV. Determination of Serum FSH And LH Concentration}\par VIDAS® FSH and LH are an automated quantitative test for use on the VIDAS instruments for the determination of human folliculestimulating hormone (FSH) and human luteinizing hormone (LH), inhuman serum or plasma using the Enzyme Linked Fluorescent Assay(ELFA) technique. \hyperref[b17]{(10)} V. \section[{Results}]{Results} \section[{a) Level of Malondialdehyde, Catalase and}]{a) Level of Malondialdehyde, Catalase and}\par Glutathione -STransferasein Infertile Women and the Control Group Malondialdehyde (MDA), catalase (CAT) and glutathione-Stransferasefemales with primary infertility and thirty healthy women. The results were analyzed using student's-test. There were significant (p<0.001) decreases in CAT and GST activity level sins era of females with primary infertility when compared with those of the control group. In contrast, MDA levels were found to increase significantly (p<0.001) in females with primary infertility when compared with those of the control group (Table \hyperref[tab_0]{3}.1). The results indicated significant (p<0.001) elevation of MDA levels in the three groups of patients when compared with those of the control group. On the other hand, CAT and GST activities exhibited significant (p<0.01 and <0.001 respectively) decreases in the three groups of patients with respect to those of the control groups. The linear regression analysis demon strated significant (r = 0.27, p<0.05) positive correlation for MDA levels and significant negative correlations for CAT (r = -0.24, p<0.05) and GST levels (r = -0.26, p<0.05) with the age of in far tile women (Table \hyperref[tab_0]{3} To understand the effect of body mass index (BMI) on the levels of serum MDA, CAT and GST in female infertility, patients were categorized into three groups. Group 1 consisted of 26 patients who had BMI values ? 25 Kg/m2 (normal females). Group 2 comprised 28patients who had BMI > 25-30 Kg/m2 (overweight) and Group 3comprised 30 patients who had BMI >30 Kg/m2 (obese).\par The results pointed out a significant (p<0.001) increase of MDA and significant decreases of CAT (p<0.01) and GST (p<0.001) levels in the three groups of infertile women when compared with the control group (Table \hyperref[tab_0]{3}.4). The linear regression analysis stated significant (r =0.23, p<0.05) positive correlation for MDA and significant (r = -0.26, p<0.05) negative correlation for CAT levels with BMI values in the infertile women (Table \hyperref[tab_0]{3}.5). To verify the impact of infertility causes on MDA,CAT and GSTvalues in infertile women, patients were categorized into 3 groups. Group A consisted of 37 females of ovulatory factor, group B consist of 14females of tubal and uterine factors and group C consist of 33 females of unexplained factor. As shown in table 3.6, the three groups of infertile women showed a significant (p<0.001) elevation of MDA and significant decreases of CAT (p<0.05) and GST (p<0.001) levels when compared with those of the control group. To demonstrate the influence of duration of infertility on MDA, CAT and GST values in infertile women, the linear regression analysis was used to evaluate the data. Significant negative correlations were obtained for CAT (r = -0.23, p<0.05) and GST (r = -0.27, p<0.05) levels with the duration of infertility. MDA levels stated significant(r = 0.30, p<0.01) positive correlation with duration of infertility (Table3.7). To perceive the impact of menstruation pattern on thelevels of MDA, CAT and GST in infertile women, patients were categorized into 2groups. Those of regular cycle were 45 patients and those of irregularcycle were 39 patients. Their data were compared with the values of the control group by using the ANOVA analysis. A significant(p<0,001)increase of MDA levels andsignificant decreases for CAT (p<0.01) andGST (p<0.001) activities were observed in the two groupsofpatientswhen compared with those of control group (Table \hyperref[tab_0]{3} To verify the relevance of FSH and LH concentrations to the MDA, CAT and GST levels in infertile women, the linear regression analysis was used to evaluate the data. The results indicated significant (r = 0.28, p<0.05) positive correlation for MDA levels with the FSH concentrations and significant (r = -0.29, p<0.05) negative correlation with LH concentrations. CAT showed significant (r = 0.30, p<0.05) positive correlation with FSH concentrations. GST activity exhibited significant (r = 0.24, p<0.05) positive correlation with LH levels in infertile women (Table \hyperref[tab_0]{3}.9). Table \hyperref[tab_0]{3}.9 : Correlations of Serum Malondialdehyde (MDA),Catalase (CAT) and Glutathione-S-Transferase (GST) with FSH and LH Levels in Infertile Women VI. \section[{Discussion}]{Discussion}\par Successful pregnancy results from an interaction between myriad physiological processes in both men and women. Any disruption to this interactive system, whether in a man or woman, can result in an inability to have a biological child called infertility \hyperref[b8]{(4)}. ROS exert their cytotoxic effects by causing per oxidation of membrane phospholipids, which results in an increase in membrane permeability, loss of membrane integrity, enzyme inactivation, structural damage to DNA and cell death \hyperref[b18]{(11)}. Oxidative stress can have detrimental effects on female fertility by affecting ovulation, fertilization, embryo development, and implantation \hyperref[b8]{(4,}\hyperref[b19]{12)}. Thus, OS is considered a cause of female infertility. This is particularly clear in cases of \hyperref[b21]{(14)}. \section[{Global}]{Global}\par The results indicate that infertile women have increased serum level of MDA and decreased serum levels of GST and CAT as compared to fertile women. They are in agreement with previous reports.\par Veena Bhaskar S et al have found significantly higher concentration of MDA in serum of infertile women than in fertile women \hyperref[b22]{(15)}. Savita Setal have shown significantly high plasma levels of MDA in infertile women when compared to parous women and this is noticed from there ductions of levels of eicosapentaenoic acid (EPA), and more so indocosahexaenoic acid (DHA), they suggested that these changes are consequence of increased oxidative stress that mediate lipid per oxidation Product , i.e. MDA \hyperref[b25]{(16)}.\par In the present study, MDA levels were found to be elevated with advancing age in infertile women suggesting raised lipid per oxidation in these patients. The rise seems to be developed as a consequence of 15declined production of antioxidant enzymes. Such decline was apparent for the activities of CAT and GST in association with the elevation of MDA levels as ages of the patients were advanced. Thus, aging could be considered as a risk factor for elevation of oxidative stress, and impaired fertility in aged females involves the imbalance in there do x potentials of these patients.\par The present results were in a agreement with previous works in which follicular fluid aspirates from twelve young women aged 27-32years and twelve older women aged 39-45 years undergoing IVF treatment were analysed for the activity and protein expression of catalase, SOD, G-PX, GST and G-Red. The specificactivity of catalasewas \textunderscore 60\% lower in the older women when compared with the youngerwomen. GST was also lower in the older women with respect to the younger patients \hyperref[b27]{(17)}. It is well known that germ cell membranes are particularly vulnerable to be attacked by ROS, being very rich in polyunsaturated fatty acids \hyperref[b29]{(18)}.\par The current results illustrated elevated lipid peroxidation in association with depleted cytoprotective enzyme activity, i.e., CAT and GST, as weight of infertile women was raised. The reason of the dysregulation of the redoxe system may due to increased levels of adipose NADPH oxidase activity which raise the production of ROS in accumulated fat \hyperref[b31]{(19)}. This hypothesis was proved by experimental obeserats, in which rised lipid peroxidation has been observed \hyperref[b32]{(20)}.\par The link between obesity and oxidative stress has been suggested in some studies. A good correlation between BMI and oxidative stress has been reported, indicating obesity as an independent risk factor for plasma lipid peroxidation \hyperref[b35]{(21,}\hyperref[b36]{22)}. Obesity may induce systemic oxidative stress, which is, in turn, the underlying cause of selective increase in ROS, 16 dysregulation of adipocytokines and development of metabolic syndrome \hyperref[b38]{(23)}.\par In the present investigation, the elevation of lipid peroxidation and the depletion of antioxidant enzymes seems to vary similarly in the infertile women regardless to the etiology of infertility. The consequences appear to be equal precipitation in the pathophysiology of there productive systems in infertile patients. These evidences suggest that oxidative stress is an independent etiologic factor in female infertility. Such independency may relate to the activation of macrophages which are a source of generation of ROS \hyperref[b40]{(24)}.\par In the present study, raised lipid peroxidation and decreased antioxidant enzyme activities are evident as the duration of infertility was prolonged in the enrolled infertile women. The results suggest that prolonging of the duration of infertility exaggerate the implication of oxidative stress in the impairment of female infertility.\par OS is involved in the modulation of cyclical changes in the endometrium. Altered SOD and ROS levels have been demonstrated in the endometrium during the late-secretory phase, just before menstruation. An elevated lipid peroxide concentration and decreased SOD concentrations have been reported in human endometrium in the latesecretory phase, and these changes may be responsible for the breakdown of the endometrium, implicating the involvement of OSin the process of menstruation \hyperref[b43]{(25)}. The expression of endothelial nitric oxide synthase(NOS) and inducible NOS have been demonstrated in the humanendometrium and the endometrial vessels \hyperref[b45]{(26,}\hyperref[b48]{27)}. Endothelial NOS is also thought to bring about changes that prepare the ndometrium for im plantation \hyperref[b43]{(25)}.\par FSH was found to be positively correlated with MDA and CAT levels, suggesting oxidative effect in there productive system of the infertile women. In contrast, LH was ascertained to be correlated negatively with MDA level and positively with GST activity, suggesting antioxidative, i.e. protective role in the reproductive system of these patients. The oxidative effect of FSH may be induced through the action of progesterone, since this hormone has been documented to elicit oxidative stress in rats \hyperref[b49]{(28)}. Unfortunately progesterone and estradiolconcentrations could not be measured in the studied patients due to technical limitations. The protective role of LH may be produced through the action of estradiol, the beneficial function of estradiol has been elucidated in rats \hyperref[b49]{(28)}.\par Elevated endogenous LH concentration seems to be a powerful protective enzyme against oxidative stress, since it is correlated negatively with MDA level and positively with GST activity. These observations are essentially related to vitamin E. It was demonstrated that LH administration is associated with accumulation of ovarian vitamin E \hyperref[b51]{(29)}. The mechanism of LH stimulation of vitamin E accumulation is not clear, but may be due to increased lipoprotein accumulation by the corpusluteum. Vitamin E is transported by lipoproteins inplasma \hyperref[b52]{(30)}. LH isknown to stimulate the accumulation of lipoproteins by the rat corpusluteum \hyperref[b54]{(31,} {\ref 32)}. Hence, the accumulation of lipoproteins, may be the reason of elevated vitamin E and consequently the antioxidative function of LH in the reproductive tract.\begin{figure}[htbp] \noindent\textbf{36}\includegraphics[]{image-2.png} \caption{\label{fig_0}Table 3 . 6 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{3} \par \begin{longtable}{P{0.85\textwidth}} 1 : Levels of Malondialdehyde (MDA), Catalase (CAT) and Glutathione -S -Transferase\\ (GST) in Infertile Women and Control Group\end{longtable} \par \caption{\label{tab_0}Table 3 .}\end{figure} \begin{figure}[htbp] \noindent\textbf{32} \par \begin{longtable}{P{0.85\textwidth}} ( )\end{longtable} \par {\small\itshape [Note: : Levels of Malondialdehyde (MDA) , Catalase (CAT) and Glutathione -S-Transferase (GST) in Various age Related Groups of Infertile Women Table 3.3 : Correlation Factors of Serum Malondialdehyde (MDA), Catalase(CAT) and Glutathione-S-Transferase (GST) Levels with Age in Infertile Women c) Influence of Body Mass Index on Malondialdehyde, Catalase and Glutathione -S Transferase Levels in Infertile Women]} \caption{\label{tab_1}Table 3 . 2}\end{figure} \begin{figure}[htbp] \noindent\textbf{3} \par \begin{longtable}{P{0.85\textwidth}} 013\\ 2\\ Year\\ 3\\ Volume XIII Issue II Version I\\ Medical Research\\ Global Journal of\end{longtable} \par {\small\itshape [Note: H]} \caption{\label{tab_2}Table 3 .}\end{figure} \begin{figure}[htbp] \noindent\textbf{3} \par \begin{longtable}{P{0.4879061371841156\textwidth}P{0.28537906137184116\textwidth}P{0.006137184115523466\textwidth}P{0.024548736462093865\textwidth}P{0.006137184115523466\textwidth}P{0.03375451263537906\textwidth}P{0.006137184115523466\textwidth}} 5 : Correlation Factors of Serum\tabcellsep d) Relevance\tabcellsep of\tabcellsep Etiology\tabcellsep of\tabcellsep Infertility\tabcellsep to\\ Malondialdehyde (MDA) , Catalase (CAT) and Glutat-\tabcellsep \multicolumn{6}{l}{Malondialdehyde, Catalase and Glutathione -S}\\ hione-S-Transferase (GST) Levels with Body Mass Index\tabcellsep \multicolumn{4}{l}{Transferase Levels in Infertile Women}\tabcellsep \tabcellsep \\ (BMI) in Infertile women\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \end{longtable} \par \caption{\label{tab_3}Table 3 .}\end{figure} \begin{figure}[htbp] \noindent\textbf{} \par \begin{longtable}{P{0.4032978723404255\textwidth}P{0.022606382978723402\textwidth}P{0.03707446808510638\textwidth}P{0.09404255319148935\textwidth}P{0.10489361702127659\textwidth}P{0.1347340425531915\textwidth}P{0.05335106382978723\textwidth}} \multicolumn{7}{l}{Levels of Malondialdehyde(MDA), Catalase (CAT Table) and Glutathione -S-Transferase (GST) in Infertile Women}\\ \tabcellsep \tabcellsep \tabcellsep \multicolumn{3}{l}{with Regular and Irregular Cycle}\\ Parameters\tabcellsep r\tabcellsep \tabcellsep \multicolumn{2}{l}{P-value}\tabcellsep \\ MDA\tabcellsep \multicolumn{2}{l}{0.23}\tabcellsep <0.05\tabcellsep \tabcellsep \\ CAT\tabcellsep \multicolumn{2}{l}{-0.26}\tabcellsep <0.05\tabcellsep \tabcellsep \\ GST\tabcellsep \multicolumn{2}{l}{-0.12}\tabcellsep NS\tabcellsep \tabcellsep \\ Parameters\tabcellsep \tabcellsep Group\tabcellsep \multicolumn{2}{l}{NO. Mean ± SD}\tabcellsep Range\tabcellsep P-value\\ \multicolumn{2}{l}{MDA (µM)}\tabcellsep Control\tabcellsep 30\tabcellsep 1.74 ± 0.75\tabcellsep 0.54 -3.10\\ \tabcellsep \tabcellsep OF\tabcellsep 37\tabcellsep 4.23 ± 1.16\tabcellsep 2.42 -7.81\tabcellsep <0.001\\ \tabcellsep \tabcellsep TUF\tabcellsep 14\tabcellsep 4.20 ± 1.41\tabcellsep 2.56 -7.54\tabcellsep <0.001\\ \multicolumn{5}{l}{CAT (U/ml) g) Correlations of FSH and LH Concentrations with UF Control OF 33 30 37 3.93 ± 1.28 6.82 ± 4.72 4.79 ± 2.35 Malondialdehyde, Catalase and Glutathion STransferase Levels in Infertile Women}\tabcellsep 2.29 -8.08 1.74 -22.42 0.78 -9.68\tabcellsep <0.001 <0.05\\ \tabcellsep \tabcellsep TUF\tabcellsep 14\tabcellsep 4.41 ± 2.09\tabcellsep 1.59 -8.59\tabcellsep <0.05\\ GST (U/L)\tabcellsep \tabcellsep UF\tabcellsep 33\tabcellsep 4.43 ± 2.14\tabcellsep 0.92 -8.59\tabcellsep <0.05\\ \tabcellsep \tabcellsep Control\tabcellsep 30\tabcellsep 1628.42 ± 284.86\tabcellsep 1104.69 -2335.63\\ \tabcellsep \tabcellsep OF\tabcellsep 37\tabcellsep 751.53 ± 191.96\tabcellsep 441.88 -1136.25\tabcellsep <0.001\\ \tabcellsep \tabcellsep TUF\tabcellsep 14\tabcellsep 678.59 ± 215.41\tabcellsep 284.06 -1136.25\tabcellsep <0.001\\ H\tabcellsep \tabcellsep UF\tabcellsep 33\tabcellsep 737.41 ± 201.30\tabcellsep 284.06 -1041.56\tabcellsep <0.001\\ \multicolumn{3}{l}{O F: Ovulatory Factor}\tabcellsep \tabcellsep \tabcellsep \\ \multicolumn{4}{l}{TUF: Tubal and Uterine Factor}\tabcellsep \tabcellsep \\ \multicolumn{3}{l}{U F: Unexplained Factor}\tabcellsep \tabcellsep \tabcellsep \\ Parameters\tabcellsep \tabcellsep r\tabcellsep P-value\tabcellsep \tabcellsep \\ MDA\tabcellsep \tabcellsep 0.30\tabcellsep <0.01\tabcellsep \tabcellsep \\ CAT\tabcellsep \multicolumn{2}{l}{-0.23}\tabcellsep <0.05\tabcellsep \tabcellsep \\ GST\tabcellsep \multicolumn{2}{l}{-0.27}\tabcellsep <0.05\tabcellsep \tabcellsep \end{longtable} \par \caption{\label{tab_4}}\end{figure} \begin{figure}[htbp] \noindent\textbf{} \par \begin{longtable}{P{0.09537953795379538\textwidth}P{0.1500825082508251\textwidth}P{0.06592409240924092\textwidth}P{0.07013201320132013\textwidth}P{0.208993399339934\textwidth}P{0.20198019801980197\textwidth}P{0.057508250825082506\textwidth}} \multicolumn{5}{l}{endometriosis (13). It is suggested that OS is caused by}\\ ROS\tabcellsep overproduction\tabcellsep rather\tabcellsep than\tabcellsep antioxidant\\ \multicolumn{2}{l}{depletion}\tabcellsep \tabcellsep \tabcellsep \\ \tabcellsep Parameters\tabcellsep Group\tabcellsep \multicolumn{2}{l}{NO. Mean ± SD}\tabcellsep Range\tabcellsep P-value\\ \tabcellsep MDA (µM)\tabcellsep Control\tabcellsep 30\tabcellsep 1.74 ± 0.75\tabcellsep 0.54 -3.10\\ \tabcellsep \tabcellsep RC\tabcellsep 45\tabcellsep 4.29 ± 1.31\tabcellsep 2.29 -8.08\tabcellsep <0.001\\ \tabcellsep \tabcellsep IRC\tabcellsep 39\tabcellsep 3.93 ±1.14\tabcellsep 2.42 -6.99\tabcellsep <0.001\\ \tabcellsep CAT (U/ml)\tabcellsep Control\tabcellsep 30\tabcellsep 6.82 ± 4.72\tabcellsep 1.74 -22.42\\ \tabcellsep \tabcellsep RC\tabcellsep 45\tabcellsep 4.32 ± 2.12\tabcellsep 0.78 -8.59\tabcellsep <0.01\\ \tabcellsep \tabcellsep IRC\tabcellsep 39\tabcellsep 4.73 ± 2.24\tabcellsep 1.26 -9.68\tabcellsep <0.01\\ \tabcellsep GST (U/L)\tabcellsep Control\tabcellsep 30\tabcellsep 1628.42 ± 284.86\tabcellsep 1104.69 -2335.63\\ \tabcellsep \tabcellsep RC\tabcellsep 45\tabcellsep 740.67 ± 177.99\tabcellsep 347.19 -1073.13\tabcellsep <0.001\\ \tabcellsep \tabcellsep IRC\tabcellsep 39\tabcellsep 713.80 ± 207.93\tabcellsep 284.06 -1136.25\tabcellsep <0.001\\ \tabcellsep \multicolumn{2}{l}{RC: Regular Cycle}\tabcellsep \tabcellsep \\ \tabcellsep \multicolumn{2}{l}{IRC: Irregular Cycle}\tabcellsep \tabcellsep \\ \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep H\\ \tabcellsep \multicolumn{3}{l}{Parameters}\tabcellsep r\tabcellsep p-value\\ \tabcellsep \tabcellsep \tabcellsep FSH\tabcellsep 0.28\tabcellsep <0.05\\ \tabcellsep \multicolumn{2}{l}{MDA}\tabcellsep \tabcellsep \\ \tabcellsep \tabcellsep \tabcellsep LH\tabcellsep -0.29\tabcellsep <0.05\\ \tabcellsep \tabcellsep \tabcellsep FSH\tabcellsep 0.30\tabcellsep <0.01\\ \tabcellsep \multicolumn{2}{l}{CAT}\tabcellsep \tabcellsep \\ \tabcellsep \tabcellsep \tabcellsep LH\tabcellsep 0.02\tabcellsep NS\\ \tabcellsep \tabcellsep \tabcellsep FSH\tabcellsep -0.07\tabcellsep NS\\ \tabcellsep \multicolumn{2}{l}{GST}\tabcellsep \tabcellsep \\ \tabcellsep \tabcellsep \tabcellsep LH\tabcellsep 0.24\tabcellsep <0.05\end{longtable} \par \caption{\label{tab_5}}\end{figure} \backmatter \begin{bibitemlist}{1} \bibitem[Pasqualotto]{b0}\label{b0} \textit{}, F Pasqualotto . \bibitem[Sharma]{b1}\label{b1} \textit{}, R Sharma . \bibitem[Benjamin]{b3}\label{b3} \textit{}, N Benjamin . \bibitem[Peter]{b4}\label{b4} \textit{}, N Peter . \bibitem[Iborra]{b6}\label{b6} \textit{}, A Iborra . \bibitem[Agarwal]{b9}\label{b9} \textit{}, A Agarwal . \bibitem[Agarwal and Said]{b11}\label{b11} \textit{}, A Agarwal , T M Said . \bibitem[Habig]{b15}\label{b15} \textit{}, W Habig . \bibitem[Savita and Mehendalei]{b22}\label{b22} \textit{}, S Savita , Mehendalei . \bibitem[Anitha and Bams]{b23}\label{b23} \textit{}, S Kilari Anitha , Bams . \bibitem[Carbone and C; Tatone]{b25}\label{b25} \textit{}, M Carbone , C C; Tatone . \bibitem[Lenzi and Gandini]{b27}\label{b27} \textit{}, A Lenzi , L Gandini . \bibitem[Gower]{b29}\label{b29} \textit{}, B A Gower . \bibitem[Trevisan]{b32}\label{b32} \textit{}, M Trevisan . \bibitem[Browne]{b33}\label{b33} \textit{}, R Browne . \bibitem[Furukawa and Fujita]{b36}\label{b36} \textit{}, S Furukawa , T Fujita . \bibitem[Szczepanska and Kozlik]{b38}\label{b38} \textit{}, M Szczepanska , J Kozlik . \bibitem[Sugino]{b40}\label{b40} \textit{}, N Sugino . \bibitem[Takiguchi]{b41}\label{b41} \textit{}, S Takiguchi . \bibitem[Rosselli]{b43}\label{b43} \textit{}, M Rosselli . \bibitem[Ota]{b45}\label{b45} \textit{}, H Ota . \bibitem[Igarashi]{b46}\label{b46} \textit{}, S Igarashi . \bibitem[Raymond]{b49}\label{b49} \textit{}, F Raymond . \bibitem[Strauss]{b52}\label{b52} \textit{}, J F Strauss . \bibitem[Rajkumar]{b54}\label{b54} \textit{}, K Rajkumar . \bibitem[Aebi ()]{b14}\label{b14} H Aebi . \textit{Methods of enzymatic analysis}, (New York) 1974. 2 p. 674. \bibitem[Monache ()]{b26}\label{b26} ‘Antioxidant enzymatic defences in human follicular fluid: characterization and age-dependent changes’. 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