Literature DB >> 32724273

THE FREQUENCY OF FOLLICLE-STIMULATING HORMONE RECEPTOR 2039A>G GENE POLYMORPHISM AND THE RISK OF MALE INFERTILITY IN ALBANIAN POPULATION.

Elezaj Shkelzen1, Frane Paić1, Feodora Stipoljev1, Zafer Gashi1, Afrim Zeqiraj1, Albert Lila1, Tamara Nikuševa Martić1.   

Abstract

The purpose of this study was to determine the prevalence of allele and genotype variants of the follicle-stimulating hormone receptor (FSHR) gene polymorphic region at position Asn680Ser in the Albanian male population and associate them with the clinical parameters of infertility. The study included 114 infertile men (mean age 35.04±5.85 years) stratified according to the level of spermatogenetic impairment (oligoasthenozoospermia, asthenozoospermia and normospermia) and 112 fertile men (mean age 36.44±7.05 years) with normal semen parameters. Genotyping of the FSHR gene at position 680 was performed by TaqMan genotyping assay. All the participants underwent semen analysis, and serum reproductive hormones (FSH, luteinizing hormone, prolactin and testosterone) were also measured. The FSHR Asn680Ser genotype frequencies were as follows: Asn/Ser 42%, Ser/Ser 33.9% and Asn/Asn 24.1% in the control group, and Asn/Ser 56.1%, Ser/Ser 22.8% and Asn/Asn 21.1% in the whole group of infertile men (χ2-test: P=0.08). There was no statistically significant correlation between serum hormone levels and semen characteristics or between fertility status and FSHR Asn680Ser gene variants in the control group and the group of infertile men. However, adjusted logistic regression analysis (age, body mass index, smoking and alcohol as covariates) revealed increased odds ratio for male infertility among heterozygous Asn/Ser genotype carriers associated with lower values of semen parameters (normal morphology, concentration, total sperm count and motility). In conclusion, our case-control study further confirmed previous reports on no significant association between the FSHR Asn680Ser polymorphisms and male infertility. Nevertheless, the data presented herein indicate that the Asn/Ser genotype may increase the risk of male infertility in Albanian population.

Entities:  

Keywords:  Case-control studies; Infertility, male; Prolactin; Receptors, FSH; Testosterone

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Year:  2020        PMID: 32724273      PMCID: PMC7382881          DOI: 10.20471/acc.2020.59.01.05

Source DB:  PubMed          Journal:  Acta Clin Croat        ISSN: 0353-9466            Impact factor:   0.780


Introduction

Normal function of cells involved in spermatogenesis, including the production of follicle-stimulating hormone (FSH) by these cells, is dependent on the FSH receptor (R) gene expression (, ). However, the impact of FSHR gene variants including the single nucleotide polymorphisms (SNPs) on male fertility is currently not yet well understood. The human FSHR gene spans a region of 54 kb, consists of ten exons and nine introns, and maps to chromosome 2q. The first nine exons encode the extracellular domain, whereas the transmembrane and the intracellular receptor domains are encoded by exon 10 of the FSHR gene (). Mutation screening of the FSHR gene revealed various SNPs both in the promoter region and the coding region (-). The most studied SNP in the promoter region is located at position c.-29 (c.-29 G>A, rs1394205), while the two common SNPs located in exon 10 (c.919A>G, p.Thr307Ala, rs6165 and c.2039A>G, p.Asn680Ser, rs6166) are in strong linkage disequilibrium, yielding two distinct allelic variants, Thr307-Asn680 and Ala307-Ser680, with the latter representing approximately 40% of FSH receptor alleles worldwide (-). Up to date, several case-control studies and their meta-analyses were conducted to evaluate the association between the FSHR polymorphic regions and male infertility (-). Although mostly inconclusive, some of them revealed significant difference in the distribution of FSHR 2039A>G allelic variants between infertile men and fertile healthy controls, thus showing that ethnic differences could be contributory (, -). Because no study addressing the effect of FSHR 2039A>G polymorphism on male (in)fertility in Albanian population has been conducted so far, we analyzed the allelic and genotype distribution of this polymorphic region and their association with serum reproductive hormones and semen quality parameters in 114 infertile men and 112 proven fathers from the Dukagjin region in the Republic of Kosovo.

Materials and methods

Study population

A total of 114 infertile male patients were included in this study. All patients presented with a history of unexplained primary infertility and were stratified into oligozoospermic (sperm count <15x106 spermatozoa per mL of ejaculate; n=67), normoasthenozoospermic (sperm count ≥15x106 spermatozoa per mL of ejaculate, progressive motility PR (A+B) % <32; n=28) and normospermic (normal semen quality; n=19) infertile men groups according to the World Health Organization criteria (WHO, 2010). Infertility was defined as the inability to conceive despite 24-month unprotected intercourse with the same partner. All patients had a fertile female partner proven by extensive fertility evaluation. Participants with genital tract pathologies, leukocytospermia (more than 106 white blood cells per mL of ejaculate), positive mixed agglutination reaction and Y chromosome microdeletion or karyotype abnormalities were not included in the study. Control group consisted of 112 proven fertile men (fathered at least one child without assisted reproductive technologies) with normal semen parameters according to the WHO guidelines (WHO, 2010). All patients and controls were ethnic Albanians from the Dukagjin region in the Republic of Kosovo. All participants gave a written informed consent, while the institutional Ethics Committee approved the study protocol in accordance with the Declaration of Helsinki.

Medical evaluations

Upon inclusion, all participants underwent medical examination, which included a detailed reproductive history, determination of testicular size by ultrasonography, urine analysis and complete blood count, biochemical profile and thyroid function test, measurement of serum FSH, luteinizing hormone (LH), testosterone (T) and prolactin (PRL) levels by BioMérieux Mini Vidas Automated Immunoassay Analyzer (bioMérieux S.A., Marcy l’Etoile, France) and semen analysis according to the WHO recommendations of 2010. At least two semen samples were provided by each participant after an abstinence period of 3-4 days one month apart.

Genotyping

Genomic DNA was extracted from peripheral blood leukocytes using the whole blood PureLink™ Genomic DNA Mini Kit (Invitrogen, Life Technologies Corporation, Carlsbad, CA, USA). The FSHR gene polymorphism at codon 680 (N680S, rs6166. 2039A>G) was analyzed by the TaqMan allelic discrimination assay (Assay ID: C___2676874_10; cat. number 4351376; Lot Number: P130805-002H05; Assay Mix Concentration; 40X; Forward Primer Concentration 36 µM; Reverse Primer Concentration 36 µM; concentration of forward and reverse primer: 900 nM, probe concentration: 200 nM FAM™/VIC® dyes; Context Sequence [VIC/FAM]:AGGGACAAGTATGTAAGTGGAACCA[C/T]TGGTGACTCTGGGACTGAAGAGCA (Life Technologies Corporation, Carlsbad, CA, USA) using the Applied Biosystems Real-Time PCR System 7500 (Applied Biosystems, Foster City, CA, USA). Each polymerase chain reaction (PCR) (25 µL) contained 1.25 µL TaqMan® SNP Genotyping Assay (X20 dilution), 12.50 µL TaqMan Universal PCR Master Mix II No AmpErase UNG (2X dilution) (Applied Biosystems, Foster City, CA, USA), 5 µL of genomic DNA and 6.25 µL of DNase/RNase free water. PCR was carried out in two steps: absolute quantification and allelic discrimination. For absolute quantification, the cycles were as follows: AmpliTaq Gold Enzyme activation at 95 °C for 10 min (1 cycle); 40 cycles: denaturation at 92 °C for 15 s, and annealing/extension at 60 °C for 1 min. The results were verified by Applied Biosystems Real-Time PCR System 7500 allelic discrimination software (Applied Biosystems, Foster City, CA, USA).

Statistical analysis

Mean, standard deviation, median and 5-95th percentiles were calculated for general characteristics [age, body mass index (BMI)] and main outcome variables (hormonal and seminal variables, total testis volume) using SPSS software version 22 (SPSS Inc., Chicago, IL, USA). Before statistical analysis, data were tested for normal distribution using the Kolmogorov-Smirnov and Shapiro-Wilk test. For data not normally distributed, the Kruskal-Wallis test was applied. Hardy-Weinberg equilibrium was assessed by χ2 analysis. Odds ratio (OR) and 95% confidence interval (95% CI) were calculated to measure the strength of the association, where applicable. Logistic regression analysis was used to adjust statistical findings for confounding factors (age, BMI, smoking and alcohol consumption). Clinical data were compared among different genotypes by one-way ANOVA and χ2-test, where appropriate. Genotype association tests were performed under co-dominant, dominant, recessive and over-dominant genetic models. A nominal level of significance P<0.05 was accepted and corrected according to Bonferroni procedure (the corrected level of significance is: Pc=0.05/N; N, number of independent comparisons). All reported P values were two-sided and uncorrected unless stated otherwise.

Results

Demographic and clinical characteristics of study participants

Table 1 shows the mean and median values of demographic and clinical parameters in infertile men and control group. As can be seen, no statistically significant differences were found in age (control: 36.44±7.047 years; infertile men group: 35.04±5.854 years), BMI and alcohol consumption between the control and infertile men groups after Bonferroni correction for multiple testing was applied [one-way ANOVA/independent sample t test; Kruskal Wallis /Mann-Whitney U test Pc=0.05/55=9.1x10-4; taking into account the number of independent measurements (eleven) and tested study samples (five)]. However, the number of ever smokers was statistically higher in overall (P=0.0001), normoasthenozoospermic (P=0.001) and normospermic (P=0.004) infertile men subgroups relative to control participants [χ2-test Pc=0.05/10=0.005; taking into account the number of independent measurements (two) and tested study samples (five)].
Table 1

Demographic, hormonal and semen variables of infertile and control subjects included in the study

VariableaControln=112Infertile menn=114POligoasthenozoospermian=67PNormoasthenozoospermian=28PNormospermian=19P
Age(years)36.44 ±7.0536.00 (25.00-49.00)35.04±5.8534.50 (26.25-45.00)0.11b35.09±6.2235.00 (24.00-46.60)0.20b34.46±5.4934.0 (24.70-44.00)0.17b35.74±5.1935.0 (27.00-42.00)0.68b
BMI(kg/m2)26.22±3.0726.30 (21.70-31.37)27.12±3.9526.9 (20.83-33.35)0.05c27.20±4.2826.8 (20.82-33.84)0.11c27.20±3.4627.05 (20.40-32.85)0.09c26.69±3.5127.0 (18.90-32.10)0.40c
Smoking (ever)24 (21.4)52 (45.6)0.0001*d27 (40.3)0.007d15 (53.6)0.001d*15 (53.6)0.004d*
Alcohol (ever)31 (27.7)41 (36.0)0.18d22 (32.8)0.47d12 (42.9)0.12d7 (36.8)0.42d
Serum FSH(mIU/mL)4.71±2.274.25 (1.73-9.60)6.85±5.855.07 (1.67-23.00)0.01c8.05±7.155.2 (1.22-24.78)0.005c5.39±2.425.30 (2.22-10.26)0.20c4.75±2.254.76 (1.57-8.30)0.84c
Serum LH(mIU/mL)4.46±2.593.79 (1.3-9.81)4.11±2.183.84 (1.41-8.81)0.48c4.20±2.493.82 (1.28-9.26)0.51c4.33±1.834.07 (1.79-8.73)0.71c3.46±1.153.70 (1.72-4.60)0.21c
Serum testosterone(ng/mL)6.32±4.875.45 (1.60-16.40)4.73±2.364.40 (1.95-9.48)0.0002*c4.56±2.104.3 (2.10-9.67)0.0001*c4.89±3.004.38 (1.45-13.75)0.03c5.13±2.234.6 (2.17-8.60)0.31c
Serum prolactin(ng/mL)12.26±5.3411.30 (5.20-24.71)15.85±8.8014.70 (4.53-32.52)0.0006*c15.35±8.8714.4 (4.25-38.82)0.01c15.61±9.1113.70 (3.25-41.14)0.03c17.91±8.2416.40 (4.62-30.00)0.004c
Ejaculate volume(mL)3.011±1.262.70 (1.40-5.67)2.94±1.212.75 (1.28-5.15)0.70c3.00±1.212.80 (1.34-5.00)0.89c2.80±1.222.5 (1.05-5.50)0.27c2.95±1.262.7 (0.50-5.10)0.89c
Sperm concentration(106/mL)76.55±53.1167.50 (20.52-198.00)17.99±18.8012.0 (0.83-55.75)1.67 x 10-26*c6.9±4.367.0 (0.24-14.00)7.85 x 10-29*c28.89±15.2222.50 (15.00-69.26)2.98 x 10-8*c42.47±22.1634.0 (21.00-71.00)0.005c
Total sperm count(106/ejaculate)227.12±174.48211.50 (41.04-539.83)51.16±59.0434.6 (1.60-177.35)6.07 x 10-25*c19.19±15.4016.0 (0.73-46.38)1.76 x 10-27*c77.76±47.6359.80 (29.18-194.33)1.41 x 10-7*c124.68±83.6495.20 (17.00-205.20)0.007c
Total Motility(%)58.24±12.0958.00 (39.65-81.00)28.82±19.0028.00 (3.00-58.00)5.53 x 10-25*c17.66±13.2814.00 (1.00-43.20)3.38 x 10-27*c37.64±13.5339.50 (12.35-57.10)2.57 x 10-10*c55.16±5.2455.00 (45.00-62.00)0.12c
Grade A sperm motility (%)31.27±12.8630.50 (10.65-55.00)8.70±8.846.00 (0.00-26.00)1.90 x 10-28*c3.66±4.482.00 (0.00-11.60)1.15 x 10-27*c10.50±6.1410.50 (0.00-20.00)3.11 x 10-21*b23.84±4.3023.00 (8.00-24.00)0.00001*b
Grade A + B sperm motility (%)44.86±12.7344.50 (24.25-68.35)16.90±13.3814.00 (0.00-42.00)2.45 x 10-28*c8.93±7.927.00 (0.00-25.60)1.17 x 10-27*c20.71±7.2322.00 (5.90-30.10)2.90 x 10-21*b39.42±4.5639.00 (32.00-47.00)0.001b
Normal morphology(%)43.95±17.5441.00 (16.00-75.00)15.61±15.6111.00 (1.00-46.20)1.62 x 10-23*c8.71±10.884.50 (1.00-34.65)7.34 x 10-25*c18.19±12.3716.00 (2.00-47.20)2.95 x 10-10*c37.06±14.3938.50 (11.00-57.40)0.15c
Total testis volume(mL)38.71±10.2836.50 (25.00-58.00)32.52±10.9932.00 (16.95-57.25)0.00002*c30.13±10.7129.60 (14.32-48.80)0.000002*c34.13±9.2533.30 (22.47-58.55)0.01c38.57±12.1134.80 (20.20-59.00)0.78c

BMI = body mass index; FSH = follicle-stimulating hormone; LH = luteinizing hormone;

adata are presented as mean ± SD and median (5-95th percentile); bone-way ANOVA /independent sample t test; cKruskal Wallis/Mann-Whitney U test; dχ2-test; *significant association; P

BMI = body mass index; FSH = follicle-stimulating hormone; LH = luteinizing hormone; adata are presented as mean ± SD and median (5-95th percentile); bone-way ANOVA /independent sample t test; cKruskal Wallis/Mann-Whitney U test; dχ2-test; *significant association; P

Genotype distribution and allele frequencies

The results of statistical analysis of the distribution of Asn680Ser FSHR gene polymorphism genotype and allele frequencies between infertile men (n=114) and controls (n=112) are shown in Table 2. The allele frequencies were 54.91% Ser (S) and 45.09% Asn (N) in the control group, and 50.88% Ser and 49.12% Asn in the overall infertile men group (P=0.39, χ2-test). No significant differences in allele distribution relative to control were observed for any of the infertility subgroups (i.e. oligoastheno-, normoastheno- and normospermia) analyzed in the study. In addition, no significant difference was observed in genotype distribution between control and overall infertile men group, and the genotypes were in Hardy-Weinberg equilibrium in both groups (infertile men group: χ2=1.73, df=1, P=0.19; control group: χ2=2.61, df=1, P=0.11). Furthermore, the significant difference in genotype distribution between the oligoazoospermic infertile group and control group was lost when Bonferroni correction for multiple testing was applied.
Table 2

Allelic and genotype frequencies for Asn680Ser FSHR gene polymorphism in study subjects

VariableAll participantsN=226Controln=112Infertile menn=114PaOligoasthenozoospermian=67PaNormoasthenozoospermian=28PaNormospermian=19Pa
Ser/Ser, n (%)64 (28.3)38 (33.9)26 (22.8)0.0814 (20.9)0.035 (17.9)0.207 (36.8)0.73
Genotype: Asn/Sern, (%)111 (49.1)47 (42.0)64 (56.1)42 (62.7)13 (46.4)9 (47.4)
Asn/Asn, n (%)51 (22.6)27 (24.1)24 (21.1)11 (16.4)10 (35.7)3 (15.8)
Allele Ser, n (%)239 (52.88)123 (54.91)116 (50.88)0.3970 (52.24)0.6223 (41.07)0.0623 (60.53)0.52
Asn, n (%)213 (47.12)101 (45.09)112 (49.12)64 (47.76)33 (58.93)15 (39.47)

P values for overall comparisons between the groups of infertile men and control group (χ2-test); Bonferroni threshold for correction for multiple testing was estimated as Pc=0.05/15=0.0033, taking into account the number of genotypes (three) and study samples tested (five).

Asn = asparagine; Ser = serine

P values for overall comparisons between the groups of infertile men and control group (χ2-test); Bonferroni threshold for correction for multiple testing was estimated as Pc=0.05/15=0.0033, taking into account the number of genotypes (three) and study samples tested (five). Asn = asparagine; Ser = serine

Association of N680S FSHR gene polymorphism with infertility

Table 3 shows the results of contingency table (?χ2-test) analysis of Asn680Ser FSHR genotype and allele distribution among the studied groups. As can be seen, OR between the Asn and Ser allele for development of infertility was higher in the overall, as well as in the oligo- and normoasthenozoospermic infertile men groups relative to control group, thus indicating the Ser allele as being protective against infertility. However, the effect did not reach statistical significance after Bonferroni correction for multiple testing was applied.
Table 3

Contingency table analysis for Asn680Ser FSHR genotype and allele distribution between the subgroups of infertile men and control group

VariableFrequencyn (%)Contingency tablesOR (95% CI)Pa
Infertile men (N=114)Ser/Ser26 (22.8)0.5754 (0.3199-1.0347)0.06
Asn /Ser64 (56.1)1.7702 (1.0451-2.9984)0.03
Asn/Asn24 (21.1)0.8395 (0.4495-1.5679)0.58
Ser116 (50.88)0.8505 (0.5876-1,2309)0.39
Asn112 (49.12)1.1758 (0.8124-1.7018)
Oligoasthenozoospermia (n=67)Ser/Ser14 (20.9)0.5144 (0.2537-1.0432)0.063
Asn /Ser42 (62.792.3234 (1.2483-4.3245)0.007
Asn/Asn11 (16.4)0.6184 (0.284-1.3463)0.22
Ser70 (52.24)0.8981 (0.5847-1.3795)0.62
Asn64 (47.76)1.1134 (0.7249-1.7102)
Normoasthenozoospermia (n=28)Ser/Ser5 (17.9)0.4233 (0.1491-1.2016)0.10
Asn /Ser13 (46.4)1.1986 (0.5215-2.7546)0.67
Asn/Asn10 (35.7)1.749 (0.7211-4.2421)0.21
Ser23 (41.07)0.5723 (0.316-1.0365)0.06
Asn33 (58.93)1.7473(0.9648-3.1644)
Normospermia (n=19)Ser/Ser7 (36.8)1.136 (0.4134-3.1217)0.81
Asn /Ser9 (47.4)1.2447 (0.4692-3.3019)0.66
Asn/Asn3 (15.8)0.5903 (0.1598-2.181)0.43
Ser23 (60.53)1.2591 (0.6242-2.5398)0.52
Asn15 (39.47)0.7942 (0.3937-1.6021)

OR = odds ratio with 95% CI; 95% = 95% confidence interval; P values for individual genotype and allele comparisons between the subgroups of infertile men and control group; Bonferroni threshold for correction for multiple testing was estimated as Pc=0.05/12=0.004, taking into account the number of genotypes (three) and study samples tested (four). Note: data for control group are not shown.

Asn = asparagine; Ser = serine

OR = odds ratio with 95% CI; 95% = 95% confidence interval; P values for individual genotype and allele comparisons between the subgroups of infertile men and control group; Bonferroni threshold for correction for multiple testing was estimated as Pc=0.05/12=0.004, taking into account the number of genotypes (three) and study samples tested (four). Note: data for control group are not shown. Asn = asparagine; Ser = serine Crude and adjusted (age, BMI, smoking and alcohol as covariates) logistic regression analysis revealed an increased risk of infertility in heterozygous Asn/Ser genotype carriers in the overall (ORA=2.36; 95% CI: 1.19-4.67) and oligoasthenozoospermic (ORA=2.745; 95% CI: 1.24-6.07) infertile men groups when compared with Ser/Ser genotype carriers. Again, no significant association was observed after Bonferroni correction for multiple testing was applied. Interestingly, relative to Ser/Ser genotype carriers, the homozygous Asn/Asn genotype carriers in the normoasthenozoospermic infertile men group exhibited higher (ORA=3.28; 95% CI: 0.87-12.30) nonsignificant risk of infertility compared to Asn/Ser (ORA=2.55; 95% CI: 0.76-8.56) genotype carriers. No genetic associations between FSHR Asn680Ser polymorphism and tested reproductive parameters reached Bonferroni-corrected statistical significance level irrespective of whether the groups were analyzed under the co-dominant, dominant, recessive or over-dominant genetic model [Pc=0.05/20=0.0025, taking into account the number of studied groups (five) and tested genotype models (four)]. Nevertheless, the best-fitting over-dominant genetic model (Asn/Ser vs. Ser/Ser + Asn/Asn) further implicated an increased risk of male infertility in heterozygous Asn/Ser genotype carriers either in the overall infertile men group (ORA=2.032; 95% CI: 1.138-3.626) or when subgrouping them according to various degrees of spermatogenetic impairment (Table 4).
Table 4

Risk of infertility and Asn680Ser FSHR gene polymorphism among infertile men included in the study

VariableControl n (%)Casen (%)Logistic regressionCrude OR (95% CI)PLogistic regressionORA (95% CI)P
Infertile men (N=114)Ser/Ser38 (33.9)26 (22.8)1.0 (Reference)0.084a1.0 (Reference)0.042a
Co-dominant Asn/Ser47 (42.0)64 (56.1)1.99 (1.07- 3.72)0.03b2.36 (1.19-4.67)0.01b
Asn/Asn27 (24.1)24 (21.1)1.30 (0.62-2.73)0.49b1.40 (0.62-3.15)0.42b
Dominant Ser/Ser38(33.9)26 (22.8)1.0 (Reference)1.0 (Reference)
Asn/Asn + Asn/Ser74 (66.1)88 (77.2)1.74 (0.97 - 3.13)0.065b1.99 (1.05 - 3.80)0.035
Recessive Ser/Ser +Asn/Ser85 (75.9)90 (79)1.0 (Reference)1.0 (Reference)
Asn/Asn27 (24.1)24 (21.1)0.84 (0.45 - 1.57)0.583b0.81 (0.41 - 1.60)0.548b
Over-dominant Ser/Ser + Asn/Asn65 (58.0)50 (43.9)1.0 (Reference)1.0 (Reference)
Asn/Ser47 (42.0)64 (56.1)1.77 (1.05 - 2.99)0.034b2.03 (1.14 - 3.63)0.016b
Oligoasthenozoospermia (n=67)Ser/Ser38 (33.9)14 (20.9)1.0 (Reference)0.03a1.0 (Reference)0.02a
Co-dominant Asn/Ser47 (42.0)42 (62.792.43 (1.16-5.09)0.02b2.75 (1.24-6.07)0.01b
Asn/Asn27 (24.1)11 (16.4)1.11 (0.44-2.81)0.83b1.18 (0.44-3.18)0.75b
Dominant Ser/Ser38 (33.9)14 (20.9)1.0 (Reference)1.0 (Reference)
Asn/Asn + Asn/Ser74 (66.1)53 (79.1)1.94 (0.96 -3.94)0.065b2.18 (1.02 - 4.65)0.045b
Recessive Ser/Ser +Asn/Ser85 (75.9)56 (83.6)1.0 (Reference)1.0 (Reference)
Asn/Asn27 (24.1)11 (16.4)0.62 (0.28 - 1.35)0.226b0.60 (0.26 - 1.37)0.224b
Over-dominant Ser/Ser + Asn/Asn65 (58.0)25 (37.3)1.0 (Reference)1.0 (Reference)
Asn/Ser47 (42.0)42 (62.7)2.32 (1.25 - 4.32)0.008b2.56 (1.32 - 4.96)0.006b
Normoasthenozoospermia (n=28)Ser/Ser38 (33.9)5 (17.9)1.0 (Reference)0.22a1.0 (Reference)0.19a
Co-dominant Asn/Ser47 (42.0)13 (46.4)2.10 (0.69-6.42)0.19b2.55 (0.76-8.56)0.13b
Asn/Asn27 (24.1)10 (35.7)2.82 (0.86-9.17)0.09b3.28 (0.87-12.30)0.08b
Dominant Ser/Ser38 (33.9)5 (17.9)1.0 (Reference)1.0 (Reference)
Asn/Asn + Asn/Ser74 (66.1)23 (82.1)2.36 (0.83 - 6.71)0.1062.80 (0.89 - 8.75)0.077b
Recessive Ser/Ser +Asn/Ser85 (75.9)18 (64.3)1.0 (Reference)1.0 (Reference)
Asn/Asn27 (24.1)10 (35.791.75 (0.72 - 4.24)0.216b1.79 (0.66 - 4.89)0.257b
Over-dominant Ser/Ser + Asn/Asn65 (58.0)15 (53.6)1.0 (Reference)1.0 (Reference)
Asn/Ser47 (42.0)13 (46.4)1.20 (0.52 - 2.76)0.670b1.37 (0.55 - 3.41)0.506b
Normospermia (n=19)Ser/Ser38 (33.9)7 (36.8)1.0 (Reference)0.73a1.0 (Reference)0.58a
Co-dominant Asn/Ser47 (42.0)9 (47.4)1.04 (0.35-3.05)0.94b1.15 (0.35-3.84)0.82b
Asn/Asn27 (24.1)3 (15.8)0.60 (0.14-2.55)0.49b0.53 (0.12-2.43)0.41b
Dominant Ser/Ser38 (33.9)7 (36.8)1.0 (Reference)1.0 (Reference)
Asn/Asn + Asn/Ser74 (66.1)12 (63.2)0.88 (0.32-2.42)0.805b0.88 (0.29 - 2.68)0.822b
Recessive Ser/Ser +Asn/Ser85 (75.9)16 (84.2)1.0 (Reference)1.0 (Reference)
Asn/Asn27 (24.1)3 (15.8)0.59 (0.16 - 2.18)0.429b0.49 (0.12 - 1.92)0.305b
Over-dominant Ser/Ser + Asn/Asn65 (58.0)10 (52.6)1.0 (Reference)1.0 (Reference)
Asn/Ser47 (42.0)9 (47.4)1.25 (0.47 - 3.30)0.660b1.48 (0.51 - 4.33)0.470b

ORA = adjusted odds ratio (adjusted for age, body mass index, alcohol and smoking status) with 95% confidence interval (95% CI); aP values for overall genotype comparisons between the subgroups of infertile men and control group; bP values for individual comparisons with reference genotype between the subgroups of infertile men and control group; Bonferroni threshold for correction for multiple testing was estimated as Pc=0.0025 [Pc=0.05/20=0.0025, taking into account the number of study groups (five) and genotype models tested (four)]. Note: data for the subgroups of infertile men not shown.

Asn = asparagine; Ser = serine

ORA = adjusted odds ratio (adjusted for age, body mass index, alcohol and smoking status) with 95% confidence interval (95% CI); aP values for overall genotype comparisons between the subgroups of infertile men and control group; bP values for individual comparisons with reference genotype between the subgroups of infertile men and control group; Bonferroni threshold for correction for multiple testing was estimated as Pc=0.0025 [Pc=0.05/20=0.0025, taking into account the number of study groups (five) and genotype models tested (four)]. Note: data for the subgroups of infertile men not shown. Asn = asparagine; Ser = serine

Association of N680S FSHR gene polymorphism and reproductive hormones

Serum FSH level in the infertile men group (6.85±5.85) was higher relative to control group (4.71±2.27) but the difference did not reach statistical significance after Bonferroni correction for multiple testing was applied (P=0.01infertile men subgroups compared to control group. Contrary, serum prolactin level was significantly (P=0.0006) higher in the overall infertile men group compared to control group (15.85±8.80 and 12.26±5.34, respectively). However, the difference did not reach statistical significance in any of the infertile men subgroups analyzed. The overall infertile men group also showed lower LH (4.11±2.18 and 4.46±2.59, respectively) and testosterone (4.73±2.36 and 12.26±5.34, respectively) serum levels relative to control group. Again, the differences did not reach statistical significance (P=0.48LH levels between these two groups or between any other infertile men subgroup and control group, while testosterone exhibited a significantly lower serum level only in the overall (P=0.0002) and oligoasthenozoospermic (P=0.0001) infertile men groups relative to control group (Table 1). Regarding the effect of N680S FSHR polymorphism, we did not observe any statistically significant association of FSHR genotype frequencies with FSH serum levels in either control or any infertile men group analyzed (data not shown). Likewise, no significant differences were found in LH, testosterone and prolactin hormone levels between men with different genotypes (Table 5).
Table 5

Effects of N680S FSHR gene polymorphism on semen and testicular parameters in overall study population

VariableaCo-dominantOver-dominant
Ser/SerAsn/SerPbAsn/AsnPbSer/Ser + Asn/AsnAsn/SerPb
Serum FSH(mIU/mL)5.74±4.184.60 (2.41-12.98)5.94±5.174.56 (1.37-16.94)0.525.51±3.624.45 (1.48-13.58)0.485.64±3.934.52 (1.84-13.26)5.94±5.174.56 (1.37-16.94)0.75
Serum LH(mIU/mL)4.33±2.583.85 (1.17-9.41)4.15±2.383.73 (1.38-9.20)0.654.51±2.193.86 (1.52-8.86)0.484.41±2.403.86 (1.39-8.98)4.15±2.383.73 (1.38-9.20)0.34
Serum testosterone(ng/mL)5.58±2.435.13 (2.07-10.02)5.39±4.344.60 (1.70-11.68)0.045.72±4.385.00 (1.43-14.48)0.415.64±3.425.10 (1.96-10.38)5.39±4.344.60 (1.70-11.68)0.08
Serum prolactin(ng/mL)13.64±7.1512.30 (4.40-29.08)14.53±8.2112.87 (5.02-29.64)0.5113.69±6.3513.50 (5.02-23.60)0.5313.65±6.7712.50 (4.73-27.45)14.53±8.2112.87 (5.02-29.64)0.65
Ejaculate volume(mL)2.90±1.222.70 (1.20-5.53)2.89±1.162.60 (1.40-5.50)0.623.27±1.383.00 (1.26-6.28)0.113.06±1.3012.80 (1.20-5.64)2.89±1.162.60 (1.40-5.50)0.16
Sperm concentration(106/mL)59.05±57.8539.50 (1.25-197.25)37.95±40.8122.00 (1.00-123.20)0.0251.61±51.6331.00 (3.08-198.00)0.4255.75±55.0734.00 (1.94-198.00)37.95±40.8122.00 (1.00-123.20)0.005
Total sperm count(106/ejaculate)166.92±161.37107.70 (3.10-514.90)112.88±153.2356.00 (2.66-414.08)0.01157.99±151.9995.70 (9.02-527.28)0.90162.96±156.66105.40 (7.90-517.44)112.88±153.2356.00 (2.66-414.08)0.002
Total motility(%)46.63±20.7152.00 (7.25-77.00)39.97±21.4347.00 (5.60-70.40)0.0446.80±22.7354.00 (3.60-76.20)0.7946.70±21.5353.00 (5.60-75.60)39.97±21.4347.00 (5.60-70.40)0.015
Grade A sperm motility (%)22.78±15.9021.00 (0.25-51.25)17.06±14.6216.00 (0.00-40.40)0.0222.39±17.1820.00 (0.00-56.20)0.7722.61±16.4121.00 (0.00-52.60)17.06±14.6216.00 (0.00-40.40)0.015
Grade A+B sperm motility(%)34.22±18.7936.50 (2.25-61.50)27.34±18.3628.00 (1.00-55.00)0.0233.84±20.2637.00 (0.60-66.20)0.3834.05±19.3737.00 (1.80-62.60)27.34±18.3628.00 (1.00-55.00)0.010
Normal morphology(%)32.81±21.3733.00 (2.00-71.80)26.66±20.0428.00 (1.00-66.35)0.0732.90±25.4129.00 (2.00-75.00)0.9032.85±23.1132.50 (2.00-74.35)26.66±20.0428.00 (1.00-66.35)0.042
Total testis volume(mL)35.98±11.2033.90 (20.28-59.00)34.72±11.6334.50 (18.92-56.70)0.5236.99±9.5836.00 (24.12-56.20)0.4236.43±10.4835.30 (22.22-58.20)34.72±11.6334.50 (18.92-56.70)0.21

aData are presented as mean ± SD and median (5-95th percentile); bKruskal Wallis/Mann-Whitney U test; Pc =0.00138 after Bonferroni correction for multiple testing was applied [Pc=0.05/36=0.00138 taking into account the number of independent measurements (nine) and genotype models tested (four)]. Note: data for dominant and recessive genotype models are not presented.

Asn = asparagine; Ser = serine; FSH = follicle-stimulating hormone; LH = luteinizing hormone

aData are presented as mean ± SD and median (5-95th percentile); bKruskal Wallis/Mann-Whitney U test; Pc =0.00138 after Bonferroni correction for multiple testing was applied [Pc=0.05/36=0.00138 taking into account the number of independent measurements (nine) and genotype models tested (four)]. Note: data for dominant and recessive genotype models are not presented. Asn = asparagine; Ser = serine; FSH = follicle-stimulating hormone; LH = luteinizing hormone

The effects of N680S FSHR gene polymorphism on semen and testicular parameters

As expected, semen parameters (normal morphology, concentration, total sperm count and progressive motility grade A and grade A+B) were significantly lower in the overall group, as well as in the oligo- and normo-asthenozoospermic infertile men subgroups when compared to controls. Notably, the progressive sperm motility grade A was also significantly lower in the normospermic infertile men group compared to control group. In addition, total testis volume showed significantly lower values in the overall group and oligoasthenozoospermic infertile men subgroup as compared to control group (Table 1). We also analyzed the effect of N680S FSHR polymorphism on major semen characteristics (sperm concentration, total sperm count, ejaculate volume, morphology, total and progressive sperm motility grade A and grade A+B) and total testis volume. For that purpose, data on testicular and seminal parameters in all study groups were pooled together to find variations among the different genotype models analyzed (Table 5). As shown in Table 5, the co-dominant and over-dominant genetic models once again implicated an increased risk of male infertility among the Asn/Ser (vs. Ser/Ser or Ser/Ser + Asn/Asn, respectively) genotype carriers regarding their lower values of major sperm parameters (i.e. percentage of cells with normal morphology, total sperm count and concentration, and grade A progressive and total mobility) analyzed (data for dominant and recessive genotype model are not shown). However, none of these associations remained significant after Bonferroni correction for multiple testing was applied [Pc=0.05/36=0.00138; taking into account the number of independent measurements (nine) and genotype models tested (four)].

Discussion

In the present study, infertile men and proven fertile control subjects were genotyped to explore the association between the N680S (rs6166 SNP; 2039A>G) FSHR gene polymorphism and male infertility risk in Albanian population from the Dukagjin region in the Republic of Kosovo. To the best of our knowledge, this was the first study examining the effect of FSHR gene polymorphism on male infertility parameters in Albanian population. We found no significant difference in the distribution of N680S genotypes between the overall group of infertile men or oligoastheno-, normoastheno- and normospermic infertile subgroups and the control group of fertile men. Our data agreed with those reported in the previous similar studies conducted in other ethnicities but there are differences in the proportions of genotype and allele distribution between our and others studies (, , , , , ). Namely, our study revealed the dominant frequency distribution of the Asn/Ser genotype to be consistent with its highest rates found in other ethnic groups (, , , , , ). However, contrary to other ethnic populations examined so far, the Ser/Ser variant in our population was represented at a higher frequency compared to Asn/Asn homozygotes. Similar results have also been reported previously by our group concerning distribution of the FSHR ASn680Ser genotype variants in Albanian women from the same region (). The sociological and cultural features of the Albanian population, which are manifested by the low incidence of marital union with members of other ethnic groups, thus probably preserving the genetic ‘pool’ originating from the indigenous population, may be responsible for this effect. As a complex hormone-regulated disorder, male infertility is regulated by the hypothalamus-pituitary-gonad axis with FSH, LH and testosterone as the prime regulators of germ cell development (, ). In our study, we found higher FSH and prolactin and lower LH and testosterone serum levels in the infertile men than in the control group men, but the difference reached statistical significance only for testosterone and prolactin serum levels in the overall group of infertile men, and for testosterone levels in the oligoasthenozoospermic subgroup compared to control group. In the infertile men, a higher concentration of FSH is usually a reliable indicator of severe germinal epithelial damage, and was shown to be associated with azoospermia and severe oligozoospermia (, ). Likewise, low levels of serum LH and testosterone are found in men with oligoasthenozoospermia while hyperprolactinemia causes infertility in around 11% of oligospermic males (-). Previous reports suggest that differences in the genotype and allele frequency of Asn680Ser FSHR polymorphic region might represent an important genetic factor contributing to phenotypic expression of essential fertility parameters. This was clearly demonstrated for their influence on basal serum FSH concentrations in women, length and dynamics of menstrual cycle and effective FSH amount during ovarian stimulation for in vitro fertility techniques (, ). For example, women with the Ser/Ser receptor variant seem to be less sensitive to FSH stimulation and have significantly higher serum FSH levels in the follicular phase of the menstrual cycle than women with the Asn/Asn isoform (). The common FSHR polymorphisms in exon 10 and the promoter of FSHR gene have also been extensively studied in male infertility (). However, so far, there is no clear association of male infertility with the ASn680Ser FSHR polymorphic region. Most of the reports suggest no significant differences in carrier frequencies of individual FSHR Asn680Ser polymorphic variants between infertile and fertile men from various ethnic groups (, , , -). The same results were obtained in a meta-analysis of these studies (-). Similarly, the effect of Asn680Ser FSHR isoforms on clinical reproductive parameters such as FSH level, sperm count and total testis volume also failed to show any consistent associations (, -, , , , ). Like most of the previous reports, our study showed no statistically significant association of Asn680Ser FSHR genotype and allelic variants with serum FSH, LH, testosterone and prolactin levels in control and infertile men either. However, we did notice the increased although nonsignificant risk of male infertility among heterozygous Asn/Ser (vs. Ser/Ser or Ser/Ser + Asn/Asn, respectively) genotype carriers regarding their lower values of major sperm parameters (total sperm count, concentration, morphology and motility) both in the overall group of infertile men and the infertility subgroups based on various degrees of spermatogenic impairment. A slight influence of the ASn680Ser FSHR gene polymorphism on male reproductive parameters has also been demonstrated recently by Grigorova et al. (). They detected significant association between the FSHR Ser680 allele and lower total testis volume in both the Baltic cohort of men and Estonian idiopathic infertility group (). Subsequent meta-analysis further supported their findings showing a moderate nonsignificant effect between the FSHR Ser680 variant and higher serum FSH level, and significantly lower total testosterone levels. However, no statistically significant associations were identified with serum LH levels or with any of the sperm parameters (). A previous study in infertile men from Egyptian population reported by Zalata et al. also showed significantly higher serum FSH (Ser/Ser vs. Asn/Asn) and lower total serum testosterone (Asn/Ser and Ser/Ser vs. Asn/Asn) in Ser680 variant carriers (). They also detected a nonsignificant decrease in sperm concentration, grade A and grade A + B progressive motility, and normal sperm morphology in Ser/Ser and Asn/Ser compared with the Asn/Asn genotype form (). Furthermore, Tsitlakidis et al. have recently reported on a significant association of heterozygous Asn/Ser genotype form with different size of the right testis in infertile Greek men but no association of any genotype form with hormonal serum levels (FSH, LH, testosterone, and prolactin) or sperm parameters (semen volume, sperm count, morphology and motility) was detected (). In addition, a recent meta-analysis reported by Wu et al. detected association of Asn680Ser FSHR Ser/Ser genotype form (Ser/Ser vs. Asn/Asn and Ser/Ser vs. Asn/Asn + Asn/Ser) with an increased risk of male infertility (). One of the main reasons for the observed differences between their results and the findings of our study regarding the overall influence of the ASn680Ser FSHR gene polymorphism on infertility status and identification of effective genotype responsible for modification of sperm parameters can be found in population stratification and ethnic and geographic variation, but additional genetic and environmental factors cannot be excluded. Since the phenotypic effects of individual polymorphism may be modulated by the overall genetic background, a combined effect of other polymorphic regions and ASn680Ser allele and genotype variants on male infertility should also be examined. For example, Wu et al. report that homozygous combination of FSHR gene polymorphism at codon 307 and 680 (i.e. Thr/Thr + Asn/Asn) may be responsible for male infertility in patients from north China (). In addition, Lindgren et al. report that Thr307-Asn680 homozygotes in a Swedish cohort of young men among others exhibited lower serum FSH and higher total testosterone concentrations, as well as larger testis volume and higher sperm count when compared with heterozygotes and Ala307-Ser680 homozygote carriers (). The discrete codon combination with homo/heterozygous variation of the Thr307Ala and Asn680Ser FSHR gene polymorphisms has also been reported in other Asian (Japan and China) and non-Asian (i.e. Italian, German, Egyptian, Estonian, Turkish, Iranian and Brazilian populations) patient groups (, -, -, -, , ). A synergistic effect of FSHR promoter polymorphic region (2039A>G) and other genetic loci (e.g., FSHB-211G>T) with Thr307Ala/Asn680Ser allelic variants has also been reported (, , ).

Conclusion

Our study revealed the increased risk of male infertility among the Asn/Ser (vs. Ser/Ser or Ser/Ser + Asn/Asn) genotype carriers in the group of infertile men as a whole or when subgrouping them according to various degrees of spermatogenetic impairment. Further studies on a larger population and haplotype-based association analysis instead of single SNP testing are required to confirm our findings in a more definitive fashion.
  38 in total

1.  Oligospermia and its relation with hormonal profile.

Authors:  F Subhan; F Tahir; R Ahmad; Z D Khan
Journal:  J Pak Med Assoc       Date:  1995-09       Impact factor: 0.781

2.  Deconvolution analysis of bioassayable LH secretion and half-life in men with idiopathic oligoasthenospermia.

Authors:  A Reyes-Fuentes; M E Chavarría; G Aguilera; A Rosado; A Iranmanesh; J D Veldhuis
Journal:  Int J Androl       Date:  1997-04

3.  Variants in follicle-stimulating hormone receptor gene in infertile Brazilian men and the correlation to FSH serum levels and sperm count.

Authors:  Milton Ghirelli-Filho; Carla Peluso; Denise M Christofolini; Marcello M Gava; Sidney Glina; Caio P Barbosa; Bianca Bianco
Journal:  Reprod Sci       Date:  2012-03-14       Impact factor: 3.060

4.  Single-nucleotide polymorphisms in the promoter region influence the expression of the human follicle-stimulating hormone receptor.

Authors:  Alain Wunsch; Yuni Ahda; Ferya Banaz-Yaşar; Barbara Sonntag; Eberhard Nieschlag; Manuela Simoni; Jörg Gromoll
Journal:  Fertil Steril       Date:  2005-08       Impact factor: 7.329

Review 5.  Impact of follicle stimulating hormone receptor variants in fertility.

Authors:  Maria D Lalioti
Journal:  Curr Opin Obstet Gynecol       Date:  2011-06       Impact factor: 1.927

6.  Association between follicle-stimulating hormone receptor polymorphisms and reproductive parameters in young men from the general population.

Authors:  Ida Lindgren; Aleksander Giwercman; Jonatan Axelsson; Yvonne Lundberg Giwercman
Journal:  Pharmacogenet Genomics       Date:  2012-09       Impact factor: 2.089

Review 7.  Hyperprolactinemia and sexual function in men: a short review.

Authors:  J Buvat
Journal:  Int J Impot Res       Date:  2003-10       Impact factor: 2.896

8.  Single nucleotide polymorphism analysis of the follicle-stimulating hormone (FSH) receptor in Japanese with male infertility: identification of codon combination with heterozygous variations of the two discrete FSH receptor gene.

Authors:  Chiharu Shimoda; Eitetsu Koh; Kenrou Yamamoto; Futoshi Matsui; Kazuhiro Sugimoto; Ho-Su Sin; Yuji Maeda; Jiro Kanaya; Atsumi Yoshida; Mikio Namiki
Journal:  Endocr J       Date:  2009-06-24       Impact factor: 2.349

9.  Study in 1790 Baltic men: FSHR Asn680Ser polymorphism affects total testes volume.

Authors:  M Grigorova; M Punab; O Poolamets; S Sõber; V Vihljajev; B Žilaitienė; J Erenpreiss; V Matulevičius; I Tsarev; M Laan
Journal:  Andrology       Date:  2012-11-29       Impact factor: 3.842

10.  Reproductive physiology in young men is cumulatively affected by FSH-action modulating genetic variants: FSHR -29G/A and c.2039 A/G, FSHB -211G/T.

Authors:  Marina Grigorova; Margus Punab; Anna Maria Punab; Olev Poolamets; Vladimir Vihljajev; Birutė Zilaitienė; Juris Erenpreiss; Valentinas Matulevičius; Maris Laan
Journal:  PLoS One       Date:  2014-04-09       Impact factor: 3.240

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