INFORMAZIONI SU QUESTO ARTICOLO

Cita

INTRODUCTION

Male infertility affects 20% to 25% of couples and in the half cases, conception failures etiology remains idiopathic [26]. It is estimated that approximately 15% of spermatogenic failure and/or sperm dysfunction is the result of gene mutations and chromosomal aberrations [26]. Some genetic disturbances can lead to androgen-estrogen imbalances, resulting in disrupted sperm function and conception problems. Studies on the polymorphic variations of estrogen receptors are becoming more common, but they are insufficient in addressing the genetic changes in estrogens and their receptors concerning the physiology and pathophysiology of the male reproductive system.

Impaired sperm production results from a multitude of factors: oxidative stress, environmental factors, hormonal imbalance, congenital diseases, genetic causes, and a host of other issues. Still, in approximately 50% of male infertility cases, the etiology remains unknown [20, 31].

Estradiol is a key factor for germ cell survival [25], and when production is disturbed, impaired sperm production occurs. Two main estrogen receptor subtypes mediate estrogen-related actions and are present in different stages of human germ cells [7, 8]. In recent years, there has been increasing interest in estrogen signal transduction disorders that may result from genetic polymorphisms in genes encoding estrogen receptors. There have been few studies investigating the direct relationship of these polymorphisms with semen parameters and sperm fertilizing ability. These studies have produced conflicting results. The results may vary due to ethnic differences in the population surveyed, genetic background of the participants, population sample size, or environmental factors or habits [5, 28]. The studies focusing on the ethnic diversity of single nucleotide polymorphisms (SNPs) showed a dependence on the relationship between the genes encoding estrogen receptor SNPs and osteoporosis [22, 38].

Estrogens have come to the forefront for their role in the pathophysiology of male infertility. These steroid hormones are produced in the testis from testosterone through the actions of cytochrome P450, and they act via specific receptors known as estrogen receptor 1 (ESR1) and 2 (ESR2) [11, 18]. Separate genes encode these receptors: the ESR1 gene is localized on chromosome 6q25.1-q25.2 [14, 27], and the ESR2 gene is found on chromosome 14q23.2-q23.3 [13, 15]. Estrogen receptors are expressed in almost all tissues of the male reproductive tract, and their expression varies along different stages of development [9, 17]. This suggests an influence of estrogens on the maturation process and function of the male reproductive system. Estrogens, acting through their receptors, regulate Sertoli and Leydig cell numbers and impact spermatogenesis [4, 6]. In animal models, impaired function or knock-out of ESR1 leads to infertility by reducing seminal fluid resorption and atrophy of the testes. In ESR1 knock-out mice, lowered mating frequency, inferior sperm parameters, and decreased fertilization potential have been observed [1, 12, 29]. ESR1 and ESR2, as well as aromatase P450, are expressed in male gametes [3, 25, 30], further strengthening a suggested relationship between estrogens and male fertility.

The development and increasing availability of in vitro fertilization techniques encourages exploration of factors that may influence their outcome. The influence of estrogens and their receptors on fertilization mechanisms can be observed in conventional in vitro fertilization (IVF) vs. the intracytoplasmic sperm injection (ICSI) model. Comparing the presence of ESR genetic polymorphisms with IVF outcomes allows an examination of estrogen action and the fertilization process. According to the literature, two ESR1 polymorphisms (rs9340799 and rs2234693) were described to have an association with azoospermia and severe oligozoospermia [21, 33]. ESR2 rs1256049 polymorphism was found to be linked with male infertility and it is probably associated with its influence on luteinizing hormone secretion [2]. The remaining two polymorphisms were suspected to be associated with fertility, but the results were inconclusive.

This study aims to analyze the relationship between ESR1 and ESR2 polymorphisms with sperm parameters and fertilization success defined as percentage of fertilized oocytes in both conventional in vitro fertilization, and intracytoplasmic sperm injection procedures. Selected ESR1 polymorphisms: rs9340799 (NC_000006.12:g.151842246A>G) and rs2234693 (NC_000006.12:g.151842200T>C) were recognized by XbaI and PvuII restriction enzymes, respectively and ESR2 polymorphisms: rs1256120 (NC_000014.9:g.64338283T>C), rs1256049 (NC_000014.9:g.64257333C>T) and rs4986938 (NC_000014.9:g.64233098C>T) were recognized by AlwNI, RsaI, and AluI, respectively We wanted to analyze the geno-type and allele’s distribution in patient subgroups with and without normozoospermia, as confirmed by concentration, motility with progressive movement, sperm morphology, and vitality (assessed using hypoosmotic swelling test).

MATERIALS AND METHODS
Materials

One hundred sixteen infertile patients were enrolled in the study. All couples underwent IVF treatment. The indication for this treatment consisted of the following: tubal factors, male factor and idiopathic infertility. Exclusion criteria for females referred to age over 39 years, FSH in the 3rd to 5th day of the cycle over 12 mIU/mL, grade III or IV endometriosis according to American Society of Reproductive Medicine (ASRM), and polycystic ovarian syndrome. For males, the exclusion criteria consisted of azoospermia and hypogonadotropic hypogonadism. The sperm parameters assessed on the day of ovum pickup were used to determine eligibility for either classical IVF or intracytoplasmic sperm injection (ICSI). Only couples with at least two mature oocytes retrieved per patient were qualified for the study. Finally, forty couples underwent conventional IVF treatment, whereas 76 couples underwent ICSI.

All the cohorts of Caucasian descent came from Central European population (Poland). Male patients with chromosomal abnormalities or erectile disorders who could not provide the sperm samples in the process of masturbation were also excluded from the study.

Patients subgrouping

The major division of patients included the method of fertilization (IVI and ICSI). Forty couples underwent conventional in vitro fertilization and 76 intracytoplasmic sperm injection. The criteria for the fertilization method choice concerned mainly sperm quality. Patients with normozoospermia (accordingly 2010 WHO manual [36]) were qualified for classical IVF, whereas in both conditions: 1) worse sperm quality, or 2) after unsuccessful IVF attempt, in patients with normozoospermia ICSI fertilization was performed. The concentration, motility, morphology, and viability of spermatozoa were significantly better in subgroups which underwent conventional IVF. Subsequently, we analyzed the polymorphisms prevalence with sperm parameters (concentration, motility, morphology, HOS [as the indicator of sperm vitality] and patients’ classification to the normozoospermia group (defined using the 2010 WHO manual [36]). The polymorphisms occurring in ESR1 and ESR2 genes were compared to the fertilization rates of oocytes fertilized in conventional IVF and ICSI as well as sperm parameters.

For every seminal parameter, we divided the patients into two groups – parameters either below or within the normal range as determined by the 2010 WHO manual [36]. Additionally, we analyzed the genotype distribution in the patient subgroups with and without normozoospermia, as confirmed by concentration, motility with progressive movement, and sperm morphology. This was performed to assess whether the analyzed genotypes are dominant in the above-mentioned subgroups.

Methods
Semen Analysis

On the day of ovarian puncture, semen samples were obtained from patients following three days of sexual abstinence. All samples underwent standard evaluation of concentration, motility, morphology, and viability according to the 2010 WHO manual. Hypoosmotic test (HOS) was used as a viability marker. Samples with leukocyte concentration >106/mL were excluded from the study.

In vitro procedure

Conventional IVF and ICSI were performed according to the standards of the Department of Infertility and Reproductive Endocrinology [10]. For ovarian stimulation, a protocol utilizing a GnRH agonist has been described previously [34]. Briefly, when the dominant follicles had a diameter > 17 mm and estradiol concentrations were 150–200 pg/mL/follicle, 10,000 IU of human chorionic gonadotropin (HCG; Pregnyl, Organon) was injected intramuscularly to facilitate final oocyte maturation. After 36 hours, the ovaries were punctured under transvaginal ultrasonography control and the follicular fluid was aspirated to obtain the oocytes. The retrieved oocytes were evaluated microscopically and only mature cells in MII were qualified for further IVF processing.

After liquefaction, the sperm samples were prepared by centrifugation using a SpermGrad (Vitrolife, Sweden). Spermatozoa were then dissolved in G-IVF Plus medium (Vitrolife, Sweden) and incubated in 37°C for two hours prior to the IVF procedure.

For conventional IVF, oocytes were placed in 5-well dishes with G-1 Plus medium (Vitrolife, Sweden), inseminated with 50.000–100.000 motile sperm, and incubated. For ICSI, MOPS Plus buffer and sperm were placed in ICSI dishes and covered with a layer of OVOIL oil (Vitrolife, Sweden). Single oocytes were placed in each well. Spermatozoa exhibiting the proper morphology and motility were immobilized and injected into the oocytes using a microinjection needle. Oocytes were then placed in G-1 Plus medium, covered with OVOIL oil, and incubated. Approximately 16 to 18 hours after insemination, fertilization was evaluated. The presence of two pronuclei in the oocyte was considered as completed fertilization process.

Sample Collection and Genetic Analysis

Sample collection. Blood samples were obtained from each male subject to isolate genomic DNA. Approximately 2.7 mL of peripheral blood was collected from all male patients in S-Monovette® EDTA tubes (SARSTEDT AG & Co., Numbrecht, Germany) for genetic analysis of ESR1 (NCBI Gene ID: 2099) and ESR2 (NCBI Gene ID: 2100) single nucleotide polymorphisms (SNPs).

Genotyping. The genomic DNA (gDNA) from each male patient was isolated from peripheral blood with the Axy-Prep Blood Genomic DNA Miniprep Kit (Axygen Scientific, Inc. Union City, CA, USA) according to the manufacturer’s protocol. DNA concentration and purity were determined spectrophotometrically, and 50 to 200 ng of gDNA was used in each polymerase chain reaction (PCR) and restriction analysis. Ten percent of the randomly selected samples were purified using AxyPrepPCR Clean-up Kit according to the manufacturer’s protocol (Axygen). The samples were then sequenced to confirm identity in relation to the known sequences in the NCBI (National Center for Biotechnology Information) gene database.

For each ESR1 and ESR2 restriction site, gene specific primers were designed using Primer3 Plus Web Software (http://www.bioinformatics.nl/cgi-bin/primer3plus/primer3plus.cgi/Copyright© 2006, 2007 by Andreas Untergasser and Harm Nijveen) (primer sequences are found in Supplementary Table S1). Each reaction was carried out in a total volume of 25 μL containing the following: 50–200 ng of template gDNA, 300 nmol/L of forward and reverse genomic specific primers (Genomed, Gdansk, Poland), and 1x KAPA HiFi HotStart ReadyMix PCR Kit (KAPABiosystems, Boston, MA, USA). Each reaction was performed in duplicate. The PCR reaction was carried out in a MJ Mini™ gradient thermal cycler (Bio-Rad Laboratories, Inc. Hercules, CA, USA). The thermal profile for each amplicon and primer set are described in Supplementary Table S2. For visualization, 5 µL of PCR product was compared with the Nova 100 molecular mass marker (Novazym, Poznan, Poland) after electrophoretic separation in a 2% agarose gel (FMC BioProducts, Rockland, ME, USA) containing 1x Tris/Boric Acid/EDTA (TBE) buffer (Bio-Rad) and 500 ng/ml ethidium bromide (Sigma-Aldrich, St. Louis, MO, USA).

The remaining PCR products were purified according to the AxyPrepPCR Clean-up Kit manufacturer’s protocol (Axygen), and restriction fragments length polymorphism (RFLP) analysis was conducted. The purified PCR product was used in each restriction analysis for XbaI, PvuII, AluI, RsaI, and AlwNI. Each restriction reaction was conducted in reaction mixture containing 1.5 µL PCR product, 1x Fast-Digest Green Buffer, 1 FDU (fast digest unit) of the Fast-Digest Enzyme (Thermo Scientific, Waltham, MA, USA), and DNase free water. The total volume of the restriction reaction was 15 µL. The restriction sites and polymorphisms for each enzyme are described in Supplementary Table S3. The restriction solutions were incubated for 1 h at 37°C and FD enzyme thermal inactivation was performed for 10 min at 85°C. The RFLP reactions were electrophoresed as described above. Polymorphisms of ESR1 and ESR2 were identified on an agarose gel after visualizing one, two, or three bands, which corresponded to the genetic homo- or heterozygous alleles. Information included in the studies reporting genetics of infertility are summarized in Supplementary Tables S4 and S5 are according to Traven et al. [35].

Statistical analysis

Statistical analysis was performed using Statistica 13 (TIBCO Software, Tulusa, USA). Deviation from the HWE was examined using the Michael H. Court’s (2005–2008) online calculator Excel-based HWE Test (https://www.tufts.edu/). The distributions of sperm laboratory parameters were assessed with the Shapiro-Wilk test, and the average sperm parameters were compared using Student’s t-test or the Mann-Whitney U test. Sperm parameters and fertilization rates vs. genotype/allele distributions were assessed with the chi-squared tests according to Cochran’s Rule for contingency tables. Comparisons of median sperm parameters and fertilization rate of conventional IVF and ICSI between the genotypes for ESR1 and ESR2 SNPs were assessed using Mann-Whitney U and Kruskal-Wallis tests. The post-hoc test with the number of participants revealed power ranged from 0.05 to 0.99. The calculation was performed with the G*Power software version 3.1.9.2 [16].

RESULTS

The average age of male patients was 34 years, and their partners mean age was 32. The mean seminal parameters of the entire study group were as follows: sperm concentration of 2.5E7/mL, 18% sperm showing progressive motility, 4% spermatozoa with normal morphology and 53% live sperm. As defined using the 2010 WHO manual, normozoospermia, in all basic parameters (motility, concentration, and morphology), was observed in 28 patients (24% of the study group) [36]. Sperm parameters in the subgroups which underwent conventional IVF and ICSI are presented in Table 1. The concentration, motility, morphology, and viability of spermatozoa were significantly better in the subgroups which underwent conventional IVF. There was no difference in the average fertilization rate between groups (67% vs. 73%; p>0.05).

Average sperm parameters in patients who underwent conventional IVF and ICSI

IVF ICSI
Mean ± SD Median Mean ± SD Median p
Concentration [mln/mL] 39±16 40 18±18 13 <0.0001a
Progressive motility [%] 25±9 21 14±10 12 <0.0001a
Correct morphology [%] 5±2 5 3±2 3 <0.0001a
HOS [%] 62±11 63 48±19 50 <0.0001b

IVF – patients treated with conventional in vitro fertilization, ICSI – patients treated with intracytoplasmic sperm injection; HOS – hypoosmotic test, SD – standard deviation; a – Mann-Whitney U test; b – Student’s t-test

Restriction analysis was fully conclusive for 102 patients in the case of ESR1 and 92 in the case of ESR2. Despite the fact that the patients were a selected population treated by in vitro fertilization, all of evaluated SNPs distributions were consistent with the Hardy-Weinberg equilibrium (HWE). ESR1 and ESR2 genotypes did not differ significantly from those expected under HWE (p>0.05 for all genotypes), although for AluI analysis, only eight patients had genotype AA. For RsaI, genotype AA was not observed in any patient, and genotype GA was seen in eight patients. Concerning AlwNI restriction site, genotype TT was present just in four males. Absence of AA genotype analyzed by RsaI is consistent with the literature data as this genotype was marked the least frequent, regardless of the studied male population [19, 24, 37]. Concerning the distribution of genotypes, it is worth noting this study included a selected group of men, most of whom displayed decreased sperm parameters.

Using the chi-squared test and the Fisher exact test, we evaluated the association between sperm parameters and ESR1 and ESR2 polymorphisms. For ESR1, no predominance of any of the analyzed genotypes was found for any of the sperm parameters. The lowest p-value obtained was 0.07, and thus no statistical significance was found. This means that in the study population, the correct semen parameters, either oligozoospermia, asthenozoospermia or teratozoospermia, were not related to rs2234693 and rs9340799 polymorphisms. No relationship was observed between the studied seminological parameters and the genotypes of the ESR2 restriction sites. Only in the case ofrs1256120, the TT genotype is predominant among patients with ≥4% normal sperm morphology; however, this result is not statistically significant (p = 0.06) (Table 2).

ESR1 and ESR2 SNPs vs. sperm parameters

Genotype Sperm concentration P Sperm progressive motility P Sperm morphology P HOS P Normozoospermia P

< 15 mln/mL ≥ 15 mln/mL < 32% ≥ 32% < 4% ≥ 4% < 58% ≥ 58% yes no
ESR1

PvuII 35 67 77 25 33 69 54 48 23 79

TT 11 (31%) 13 (19%) 0.4a 19 (25%) 5 (20%) 0.83a 8 (24%) 16 (23%) 0.98b 12 (22%) 12 (25%) 0.33a 5 (22%) 19 (24%) 0.82a
TC 16 (46%) 36 (54%) 38 (49%) 14 (56%) 17 (52%) 35 (51%) 25 (46%) 27 (56%) 13 (56%) 39 (49%)
CC 8 (23%) 18 (27%) 20 (26%) 6 (24%) 8 (24%) 18 (26%) 17 (32%) 9 (19%) 5 (22%) 21 (27%)

Powerd 0.65 0.24 0.07 0.72 0.25

T 38 (54%) 62 (46%) 0.28a 76 (49%) 24 (48%) 0.87a 33 (50%) 67 (49%) 0.85a 49 (45%) 51 (53%) 0.27a 23 (50%) 77 (49%) 0.85a
C 32 (46%) 72 (54%) 78 (51%) 26 (52%) 33 (50%) 71 (51%) 59 (55%) 45 (47%) 23 (50%) 82 (51%)

Powerd 0.63 0.06 0.06 0.63 0.06

XbaI 35 67 77 25 33 69 54 43 23 79

AA 7 (20%) 11 (16%) 0.81a 15 (19%) 3 (12%) 046b 7 (21%) 11 (16%) 0.51a 11 (20%) 7 (15%) 0.75a 2 (9%) 16 (20%) 0.22a
AG 14 (40%) 31 (46%) 35 (46%) 10 (40%) 16 (49%) 29 (42%) 23 (53%) 22 (46%) 9 (39%) 36 (46%)
GG 14 (40%) 25 (38%) 27 (35%) 12 (48%) 10 (30%) 29 (42%) 20 (27%) 19 (39%) 12 (52%) 27 (34%)

Powerd 0.21 0.74 0.66 0.70 0.99

A 28 (40%) 53 (40%) 0.95a 65 (42%) 16 (32%) 0.2a 30 (46%) 51 (37%) 0 25a 45 (35%) 36 (38%) 0.54a 13 (28%) 68 (43%) 0.07a
G 42 (60%) 81 (60%) 89 (58%) 34 (68%) 36 (64%) 87 (63%) 63 (65%) 60 (62%) 33 (72%) 90 (57%)

Powerd 0.05 0.82 0.73 0.06 0.99

ESR2

AluI 31 61 71 21 31 61 49 43 19 73

AA 3 (10%) 5 (8%) 1b 6 (8%) 2 (10%) 0.49b 2 (6%) 6 (10%) 0.54b 5 (10%) 3 (6%) 0.78b 2 (11%) 6 (8%) 0.21b
AG 13 (42%) 26 (43%) 28 (40%) 11 (52%) 11 (36%) 28 (46%) 19 (39%) 20 (47%) 11 (58%) 28 (38%)
GG 15 (48%) 30 (49%) 37 (52%) 8 (38%) 18 (58%) 27 (44%) 25 (51%) 20 (47%) 6 (31%) 39 (54%)

Powerd 0.08 0.67 0.72 0.35 0.72

A 19 (31%) 36 (30%) 0.87a 40 (28%) 15 (36%) 0.35a 15 (24%) 40 (33%) 0.23a 29 (30%) 26 (30%) 0.92a 15 (39%) 40 (27%) 0.15a
G 43 (69%) 86 (70%) 102 (72%) 27 (64%) 47 (76%) 82 (67%) 69 (70%) 60 (70%) 23 (61%) 106 (73%)

Powerd 0.06 0.68 0.82 0.05 0.92

RsaI 31 56 67 20 28 59 46 41 18 69

GG 26 (84%) 53 (95%) 0.13b 60 (90%) 19 (95%) 0.68b 23 (82%) 56 (95%) 0.11b 40 (87%) 39 (95%) 0.27b 17 (94%) 62 (90%) 1b
GA 5 (16%) 3 (5%) 7 (10%) l (5%) 5 (18 %) 3 (5%) 6 (13%) 2 (5%) 1 (6%) 7 (10%)

Powerd 0.8 0.34 0.88 0.6 0.34

G 57 (92%) 109 (97%) 0.14b 127 (95%) 39 (98%) 0.68b 51 (91%) 115 (97%) 0.11b 86 (93%) 80 (98%) 0.28b 35 (97%) 131 (95%) 1b
A 5 (8%) 3 (3%) 7 (5%) 1 (2%) 5 (9%) 3 (3%) 6 (7%) 2 (2%) 1 (3%) 7 (5%)

Powerd 0.68 0.44 0.79 0.73 0.34

A/wM 36 60 74 22 33 63 53 43 20 76

AA 0 4 (7%) 0.21b 2 (3%) 2 (9%) 0.36b 0 4 (6%) 0.06c 1 (2%) 3 (7%) 0.39b 2 (10%) 2 (3%) 0.23b
AT 13 (36%) 15 (25%) 23 (31%) 5 (23%) 14 (42%) 14 (22%) 17 (32%) 11 (26%) 4 (20%) 24 (31%)
TT 23 (64%) 41 (68%) 49 (66%) 15 (68%) 19 (58%) 45 (72%) 35 (66%) 29 (67%) 14 (70%) 50 (66%)

Powerd 0.99 0.92 0.99 0.91 0.84

A 13 (18%) 23 (19%) 0.84a 25 (17%) 7 (16%) 0.94a 14 (21%) 22 (17%) 0.53a 19 (18%) 17 (20%) 0.75a 8 (20%) 28 (18%) 0.82a
T 59 (82%) 97 (81%) 121 (83%) 35 (84%) 52 (79%) 104 (83%) 87 (82%) 69 (80%) 32 (80%) 124 (82%)

Powerd 0.07 0.07 0.27 0.11 0.11

SNP - single nucleotide polymorphism, HOS - hypoosmotic test;

- Pearson’s chi-squared p-value;

- Fisher’s exact test p-value;

-Fisher-Freeman-Halton exact test p-value;

Powerd - G*Power power post-hoc calculated

Similarly, we observed no differences in sperm parameters between the genotypes using the Kruskal-Wallis and Mann Whitney U tests (p>0.05 for all sperm parameters in every SNP) (Table 3). For ESR1 polymorphisms, as related to sperm motility, rs2234693 and rs9340799 did not differ significantly between genotypes. Analysis of AluI, RsaI, and AlwNI restriction sites, all associated with the ESR2 gene, no correlation of genotypes was observed with sperm parameters. In the AluI study, p-values of 0.94, 0.69, and 0.88 (sperm concentration, morphology, and motility, respectively) between individual genotypes indicated no differences in analyzed parameters depending on the genotype. The results of sperm parameters indicate lower p-values within the rs1256120 TT genotype. However, there were no statistical differences observed (p = 0.1, p = 0.12, and p = 0.31 for concentration, motility, and morphology, respectively). In the case of RsaI restriction analysis, improved sperm parameters for the GG genotype were observed, but no statistical difference was found for any parameter (p = 0.32, p = 0.71, and p = 0.21 for concentration, motility, and morphology, respectively). In the studied population, however, no relationship between ESR2 polymorphisms and the seminological parameters has been shown (Table 3). Within the PvuII restriction site, there was no difference between the effectiveness of in vitro fertilization (measured by percentage of fertilized oocytes), regardless of genotype, both in the case of conventional IVF or ICSI (p = 0.16 and p = 0.75, respectively). For the XbaI restriction site, studies comparing the efficacy of conventional IVF and ICSI showed no difference. The association of XbaI restriction site polymorphisms with the effectiveness of fertilization by any of the methods used in in vitro fertilization may be excluded (IVF p = 0.73, ICSI p = 0.97). Due to the ESR2 localization in the midpiece area of the sperm, as well as the role of estrogens in the fertilization process, we analyzed the relationship of ESR2 polymorphisms with conventional IVF and ICSI fertilization rate no statistically significant relationship between individual genotypes with fertilization effectiveness in any of the methods. In the case of conventional IVF, we can observe a tendency towards a slightly lower percentage of fertilized egg cells for the AA genotype (p = 0.25; rs4986938; 1730 G>A) (Table 3).

Comparison of median sperm parameters and fertilization rate of conventional IVF and ICSI between the genotypes for ESR1 and ESR2 SNPs

Genotype Sperm concentration [mln/mL] Sperm motility [%] Sperm morphology [%] HOS [%] Oocytes fertilized in conventional IVF [%] Oocytes fertilized in ICSI [%]
ESR1

PvuII p = 0.36a p = 0.6a p = 0.9a p = 0.54a p = 0.16a p = 0.75a
TT
TC
CC

XbaI p = 0.31a p = 0.71a p = 0.33a p = 0.78a p = 0.73a p = 0.97a
AA
AG
GG

ESR2

AluI p = 0.94a p = 0.88a p = 0.69a p = 0.72a p = 0.25a p = 0.97a
AA
AG
GG

RsaI p = 0.32b p = 0.71b p = 0.21b p = 0.47b p = 0.53b p = 0.67b
GG
GA

AlwNI p = 0.1b p = 0.12a p = 0.31a p = 0.4a p = 0.79a p = 0.86a
CC
CT
TT

SNP – single nucleotide polymorphism, ESR1 – estrogen receptor 1 gene, ESR2 – estrogen receptor 2 gene, HOS – hypoosmotic test, IVF – in vitro fertilization, ICSI – intracytoplasmic sperm injection;

– Kruskal-Wallis test,

– Mann-Whitney U test

Furthermore, we analyzed the association between SNP genotypes and fertilization rates from two methods of in vitro fertilization. We divided the patients into conventional IVF and ICSI groups. The patients were then further subdivided by fertilization of at least one oocyte or no oocytes. We used the chi-squared test to analyze the genotype distribution according to fertilization success. In the group which underwent conventional IVF, the males who were heterozygote TC carriers for the SNP recognized by PvuII had an improved treatment outcome than patients who did not have this genotype (p = 0.02). This was not observed for any of the ESR1 and ESR2 SNPs (Table 4).

ESR1 and ESR2 SNPs vs. fertilization success in conventional IVF and ICSI

Genotype Conventional IVF Fertilization completed No fertilization p ICSI Fertilization completed No fertilization p
ESR1
PvuII 36 29 7 66 61 5
TT 6 (17%) 6 (21%) 0 0.02c 18 (27%) 16 (26%) 2 (40%) 0.84a
TC 20 (55%) 18 (62%) 2 (29%) 32 (48%) 30 (50%) 2 (40%)
CC 10 (28%) 5 (17%) 5 (71%) 16 (24%) 15 (24%) 1 (20%)
Powerd 0.99 0.64
T 32 (44%) 30 (52%) 2 (36%) 0.02b 68 (52%) 62 (51%) 6 (60%) 0.75b
C 40 (56%) 28 (48%) 12 (64%) 64 (48%) 60 (49%) 4 (40%)
Powerd 0.77 0.06
XbaI 36 29 7 66 61 5
AA 4 (12%) 3 (10%) 1 (14%) 0.61a 14 (21%) 13 (21%) 1 (20%) 0.16a
AG 16 (44%) 14 (49%) 2 (29%) 29 (44%) 27 (45%) 2 (40%)
GG 16 (44%) 12 (41%) 4 (57%) 23 (35%) 21 (34%) 2 (40%)
Powerd 0.57 0.14
A 24 (33%) 20 (34%) 4 (29%) 0.76b 57 (43%) 53 (43%) 4 (40%) 1b
G 48 (67%) 38 (66%) 10 (71%) 75 (57%) 69 (57%) 6 (60%)
Powerd 0.14 0.06
ESR2
AluI 31 24 7 61 56 5
AA 2 (6%) 1 (4%) 1 (14%) 0.64a 6 (10%) 5 (9%) 1 (20%) 0.63a
AG 14 (45%) 11 (46%) 3 (43%) 25 (41%) 23 (41%) 2 (40%)
GG 15 (49%) 12 (50%) 3 (43%) 30 (49%) 28 (50%) 2 (40%)
Powerd 0.72 0.79
A 18 (29%) 13 (27%) 5 (36%) 0.52b 37 (30%) 33 (29%) 4 (40%) 0.48b
G 44 (71%) 35 (73%) 9 (64%) 85 (70%) 79 (71%) 6 (60%)
Powerd 0.36 0.76
RsaI 30 29 1 57 50 7 -
GG 24 (80%) 23 (79%) 1 (100%) - 53 (93%) 46 (92%) 7 (100%)
GA 6 (20%) 6 (21%) 0 4 (7%) 4 (8%) 0
Powerd - -
G 54 (90%) 52 (90%) 2 (100%) - 110 (96%) 96 (96%) 14 (100%) -
A 6 (10%) 6 (10%) 0 4 (4%) 4 (4%) 0
Powerd - -
AlwNI 30 24 6 66 61 5
CC 2 (13%) 2 (8%) 0 1c 2 (3%) 2 (3%) 0 0.28c
CT 5 (17%) 4 (17%) 1 (17%) 23 (35%) 23 (38%) 0
TT 23 (70%) 18 (75%) 5 (83%) 41 (62%) 36 (59%) 5 (100%)
Powerd 0.29 0.99
C 9 (15%) 8 (17%) 1 (8%) 0.67b 27 (20%) 27 (22%) 0 -
T 51 (85%) 40 (83%) 11 (92%) 105 (80%) 95 (78%) 10 (100%)
Powerd 0.46 -

SNP – single nucleotide polymorphism, IVF – in vitro fertilization, ICSI – intracytoplasmic sperm injection;

– Pearson’s chi-squared p-value;

– Fisher’s exact test p-value;

– Fisher-Freeman-Halton exact test p-value;

Powerd – G*Power power post-hoc calculated

For AluI and AlwNI restriction sites, there were no differences between genotypes and fertilization success in any of the utilized methods. Rs1256049 polymorphism (recognized by RsaI) and IVF efficacy, due to lack of AA genotype and low GA group genotype, were analyzed using the chi-squared test. This was performed to compare patients who had fertilized at least one oocyte to those with none. No relationship was found from this comparison in either the IVF or the ICSI groups (Table 4).

DISCUSSION

To assess the relationship of sperm parameters with the ESR1 and ESR2 gene polymorphisms, we proposed a comparison of their mean values within genotypes to the examined restriction sites. The presence of receptors in the sperm mitochondria, depending on the gene variant, could be related to varying mobility. However, the results did not confirm a correlation. The lack of association of different genotypes and semen parameters may be related to a relatively small population of normozoospermia cases. Normozoospermia was seen in 23 patients subjected to the analyses using PvuII (rs2234693; 397 T>C) and XbaI (rs9340799; 351 A>G), 19 for AluI (rs4986938; 1730 G>A), and 18 for RsaI (rs1256049; 1082 G>A). In the case of AlwNI (rs1256120; -458 T>C), normozoospermia existed in 20 individuals. This may explain the differing observations from those presented by the Lazaros et al. [24]. These authors found the relationship of the rs1256120 (defined by AlwNI) to higher gamete mobility as compared to the AG and AA genotypes; however, in the studied population of 114 men, as many as 85 had normozoospermia. However, it cannot be ruled out that, due to the post-genomic effect of estrogen receptors on sperm, structural disturbances within the restriction sites are not related to mitochondrial function and gamete mobility.

We found no statistically significant differences for the ESR1 and ESR2 restriction sites, indicating none of the genotypes were associated with the occurrence of normozoospermia in patients. The results presented are partly consistent with those published by Lazaros et al. [24]. Their work analyzed genotype distribution in patient groups with normal concentration and sperm motility then assessed groups with oligozoospermia and asthenozoospermia. They found that rs2234693 and rs9340799 polymorphisms did not correlate with sperm motility in patients with normal sperm kinetics. They noticed, however, in the asthenozoospermia group, CC and TC genotypes were associated with improved gamete motility than was the cytosine-free genotype, i.e. TT. In the case of XbaI restriction analysis, better sperm motility was demonstrated in patients with genotypes AG and GG than in the case of AA [23].

In the analysis of sperm concentration as related to rs2234693 and rs9340799 polymorphisms (defined by PvuII and XbaI, respectively), Lazaros et al. noted that the genotype TT analyzed by PvuII is accompanied by a larger amount of sperm in the group with normal sperm concentrations. For XbaI restriction analyses, a higher semen concentration was observed in the AA genotype as opposed to AG and GG. Among the patients with asthenozoospermia, these relationships were not observed. Concerning ESR2, the researchers found, contrary to the results presented here, higher values of sperm motility in progressive movement in patients with the rs4986938 GG genotype. At the same time, similar to the present study, no relationship was observed between sperm concentration and AluI restriction site, nor was one noted between sperm parameters and rs1256049 genotypes. Discrepancies in these results are quite difficult to interpret. The size of the study groups was comparable [24]. The authors referred to WHO standards in 1999, where the diagnosis of oligozoospermia was made when the concentration of sperm was <20 million/mL, and the motility of the gametes with progressive movement was estimated at <50% for asthenozoospermia. Additionally, the result discrepancies may be due to the different ethnic backgrounds of the groups. The origin of patients in the study group is an important factor that may affect polymorphism distribution.

Solakidi et al. reported ESR1 localized to the equatorial segment of the sperm head. They suggest the possible involvement of this receptor in combining the cell membranes of the male and female gametes [32]. It seems, therefore, that individual polymorphisms of the gene encoding ESR1 in men could be associated with differing percentages of fertilized egg cells in their partners. For this reason, data analysis was performed in the current study. Although no difference was shown between the effectiveness of classical in vitro fertilization and genotype in the PvuII analyses, the potency of this method seems to be slightly lower in the CC genotype than in TT and TC variants. Similar relationships were not observed in the case of ICSI. For the XbaI restriction site, the efficacy of conventional IVF and ICSI showed no differences, which was also observed for AluI. In the case of conventional IVF, one can observe a tendency towards a slightly lower percentage of fertilized egg cells for the AA genotype. These results do not coincide with the results of Aschim et al. [2]. These researchers noticed the rarest occurrence of the AA genotype in infertile men, although no significant differences between genotypes were observed. However, this work used a different criterion for male infertility (sperm concentration <5 million/mL and no partner study), so the results are difficult to compare. For patients treated with ICSI in our work, the dominant trend of one of the genotypes analyzed by AluI in the context of the effectiveness of ICSI was not observed. It can be presumed that, while ESR1 and ESR2 polymorphisms may be related to conventional IVF efficacy (and perhaps a natural conception) and in ICSI conditions, they do not affect its result.

In the AlwNI and RsaI assessment, there were no differences between genotypes and the effectiveness of fertilization in any of the methods assessed. Zhang et al. conducted a study of this polymorphism in the context of fertilization effectiveness in the Chinese population [37]. These authors observed the occurrence of the AA genotype in 32 of 865 couples and showed that, although there was no difference between the genotypes and effectiveness of fertilization, it was the AA genotype that was associated with poorer embryo quality. These results encourage similar research in Caucasian populations.

Significantly higher occurrences of the TC genotype of the PvuII restriction site were seen where at least one oocyte was fertilized (p = 0.02). This was not observed for other genotypes analyzed with PvuII, nor for the genotypes identified by XbaI or any of the SNP ESR2 genotypes. Therefore, it is the only statistically significant relationship between the studied estrogen receptor polymorphisms and fertilization effectiveness assessed in this work. Therefore, the conclusion regarding a favorable relationship between the rs2234693 TC genotype and the fertilizing capacity of semen should be treated with caution. With the present size of the group, the statistical power ranged from 0.05 to 0.99 and the continuation of research with an increase in the size of the group would be advisable, because major determinant of statistical power is allele frequency.

Because of the polygenic nature of spermatogenic disorders, additional loci could be involved in spermatozoa defects and conception ability. This may be related to estrogens, their receptors, or other core genes involved in estrogenic and estrogen-related pathways. In most cases, we did not discover a relationship between both estrogen receptors polymorphisms and sperm function, except forrs2234693 and fertilization rate. There was no association with ESRs polymorphisms and standard WHO semen parameters.

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Life Sciences, Molecular Biology, Microbiology and Virology, Medicine, Basic Medical Science, Immunology