Infertility is a state of failure to conceive in a year of unprotected intercourse with the same partner [1]. The male factors are responsible of infertility in 20.0 to 25.0% of couples [2]. In men, the main causes of infertility are oligospermia, asthenospermia, teratozoospermia and azoospermia [3,4]. Like other nutritional factors, availability of bioactive folate has recently been found to be related to male fertility [5].
Folates are an inter-convertible group of enzymes that metabolize amino acid, synthesize and methylate deoxy-ribonuleotides (dNTPs) [6,7]. Methyltetrahy-drofolate (MethylTHF) is the biologically active form of folate in plasma. An important enzyme, methylene-tetrahydrofolate reductase
Methionine is converted to S-adenosyl methionine that acts as a ‘methyl’ donor for DNA methylation. The 5,10 methylenetetrahydrofolate converts uracil into thymine for DNA synthesis [9]. Therefore, deficiency in folate intake or polymorphism(s) in the enzymes of the folate pathway may result in aberrant DNA synthesis and methylation, especially in rapidly dividing cells such as bone marrow and spermatogonia [10].
The
The results of many of the molecular epidemiological studies on the association of the
Initially, 1234 men with primary infertility (the couples never conceived) were recruited from various diagnostic setups, hakeems (Muslim physicians) and private clinics in two cities of Rawalpindi and Islamabad, Pakistan, for a period of 2 years (2011 and 2012). A cohort of 348 proven fathers (had at least two children), residents of the same area, was also taken as a control group.
After approval and permission of the concerned authorities, infertile men fulfilling the World Health Organization (WHO) criteria of failure to conceive during 1 year of unprotected intercourse with the same partner were recruited [1]. Only those men, whose partners were already screened and had normal reproductive functions, were included. The men with other physiological disorders, congenital and psychological disorders including diabetes, allergies, timing of the onset of puberty, cryptorchidism, testicular torsion, ectopic testis, single testis and testicular damage at birth and varicocele were excluded. The men with mental disorders,
Consequently, a total 437 idiopathic infertile men including 57 azoospermic, 66 oligospermic, 44 asthenozoospermic, 29 teratozoospermic, 20 oligoasthenospermic and 221 infertile normospermic men were recruited, after ruling out nongenetic factors. Moreover, 218 normospermic fertile men who had two children (or more), were included as controls. The samples and controls screened for
The semen samples were initially collected for analysis of a suspected fertility problem in men. The semen samples were also obtained from fertile men (control group). Each individual gave semen samples twice by masturbation after 3-5 days of abstinence, their written consent was obtained for the sample to be used further in molecular research.
At least 10 mL of a single blood sample was collected from the antecubital vein of each subject and stored in vacutainers with EDTA as anticoagulant. Blood samples were immediately transported to the Genetics Laboratory, Institute of Biomedical Sciences and Genetic Engineering (IBGE), Islamabad, Pakistan, where the plasma was separated from all samples by cen-trifugation and stored at −25 °C until further analysis. The cellular portion was used for DNA extraction for genetic analysis.
Semen parameters (semen volume, sperm concentration, sperm motility, sperm morphology, liquefaction time, pH and colour) were determined in a private laboratory by an expert using standard methods. The semen samples were categorized into one of the semen group defined by WHO [1]. (Table 3.1). The volume was measured using a graduated glass pipette. The sperm concentration was counted using a sperm counting chamber (Jiansu Sanwe Medical Science and Technology Co. Ltd., Xuzhou, China). The concentration, motility and morphology of sperm cells were observed using a binocular microscope at x100 magnification (Olympus Optical Co. Ltd., Tokyo, Japan). The semen pH was determined with a digital pH meter.
Total genomic DNA was extracted from blood samples using a standard phenol/ chloroform extraction method.
The
The digested product was elec-trophoresed on a 3.0% agarose gel with ethidium bromide staining which was then visualized through ultraviolet transillumination. The normal allele with cytosine at position 677 (C677) formed an undigested fragment of 198 bp, while the mutant allele with thymine in position 677 (T677) formed fragments of 175 and 23 bp.
The allele frequency of the
The association of the
Genotype distribution of the
Allele frequencies of the
Patient Group | Allele | Infertile Men | Fertile Men | OR (95% CI) | AOR (95% CI) | ||
---|---|---|---|---|---|---|---|
Azoospermic | C | 90 (78.95) | 404 (92.66) | 1 | 0.000 | 1 | 0.017 A |
Oligospermic | C | 95 (71.97) | 404 (92.66) | 1 | 0.000 | 1 | 0.000 A |
Asthenozoospermic | C | 64 (72.73) | 404 (92.66) | 1 | 0.000 | 1 | 0.001 A |
Teratozoospermic | C | 41 (70.69) | 404 (92.66) | 1 | 0.000 | 1 | 0.000 A |
OAT | C | 29 (72.50) | 404 (92.66) | 1 | 0.021 | 1 | 0.008 A |
Infertile normospermic | C | 387 (87.56) | 404 (92.66) | 1 | 0.581 | 1 | 0.018 A |
Total infertile subjects | C | 706 (80.78) | 404 (92.66) | 1 | 0.012 | 1 | 0.016 A |
OR: odds ratio; 95% CI: 95% confidence interval; AOR: odds ratio adjusted for age, body mass index (BMI), occupation, working shift and hours; C: wild type; T: mutated; OAT: oligoasthenoteratospermic.
Genotype frequencies of the
Patient Group | Genotype | Infertile Men | Fertile Men | OR (95% CI) | AOR (95% CI) | ||
---|---|---|---|---|---|---|---|
Azoospermic | CC | 36 (63.16) | 187 (85.78) | 1 | 1 | A A A | |
Oligospermic | CC | 34 (51.52) | 187 (85.78) | 1 | 1 | A A A | |
Asthenozoospermic | CC | 22 (50.00) | 187 (85.78) | 1 | 1 | A A A | |
Teratozoospermic | CC | 15 (51.72) | 187 (85.78) | 1 | 1 | A A A | |
OAT | CC | 10 (50.00) | 187 (85.78) | 1 | 1 | A A | |
Infertile normospermic | CC | 168 (76.02) | 187 (85.78) | 1 | 1 | A A | |
Total infertile subjects | CC | 285 (65.22) | 187 (85.78) | 1 | 1 | A A A |
OR: odds ratio; 95% CI: 95% confidence interval; AOR: odds ratio adjusted for age, body mass index (BMI), occupation, working shift and hours; C: wild type; T: mutated; OAT: oligoasthenoteratospermic.
The relative
In addition, after classifying the men into different infertility groups, allelic frequencies were significantly different between infertile and fertile men. The minor allele (T) frequency was highest in teratospermic men (0.293%), followed by oligospermic (0.280%), oligoasthenoteratospermic (OAT) (0.275%), asthenospermic (0.273%), azoospermia (0.210%), normospermic infertile (0.124%) and fertile men (0.073%) (Table 1).
According to Table 2, men with
Spermatogenesis is a complex process involving about 2000 genes and various non genetic factors. The gene mutations and disrupted expression may distort maturation of spermatocytes. DNA methylation ensures the regulated expression of genes. However, DNA methylation is done only in the presence of methionine. A homocysteine is converted into methionine by
However, results of most of the molecular epidemiological studies on association of
Similarly, all the studies [22-28] except one [29] reported a significant association of the 677T anomaly with male infertility. Seven studies on Indian populations reported contrasting observations to each other [30-36]. Four Indian studies [30-33] showed a significant association of mutant genotypes with infertility, while three studies [34-36] showed no statistically significant difference of 677 C>T variants between infertile and fertile males. Dhillon
Moreover, in Caucasian populations, few studies reported that the polymorphism in
Therefore, the differences in the results could be attributed to other factors such as variations in recruitment of subjects, sample size, ethnicity and geographic factors (Tables 3 and 4). The results are also dependent on the reproductive health (testicular, hormonal, and epididymal,
Allelic distribution of the
Study | Country | Patients | Controls | Patients | Controls | OR | SE | Lower Limit | Upper Limit | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|
[Refs.] | C | T (%) | C | T (%) | ||||||||
[18] | Egypt | 139 | 90 | 133 | 125 (48.45) | 126 | 54 (30.00) | 2.19 | 0.20 | 1.47 | 3.28 | 0.000 A |
[19] | Egypt | 107 | 107 | 163 | 51 (23.83) | 156 | 58 (27.10) | 0.84 | 0.22 | 0.54 | 1.30 | 0.438 |
[20] | Algeria | 74 | 84 | 95 | 55 (36.67) | 110 | 58 (35.52) | 1.10 | 0.23 | 0.69 | 1.74 | 0.690 |
[21] | Morocco | 344 | 690 | 523 | 165 (23.98) | 988 | 392 (28.41) | 0.80 | 0.11 | 0.64 | 0.98 | 0.033 |
[22] | China | 182 | 53 | 140 | 224 (61.54) | 58 | 48 (45.28) | 1.93 | 0.22 | 1.25 | 2.99 | 0.003 A |
[23] | China | 355 | 252 | 420 | 290 (40.85) | 351 | 153 (30.36) | 1.58 | 0.12 | 1.24 | 2.02 | 0.000 A |
[24] | China | 75 | 72 | 92 | 58 (38.67) | 108 | 36 (25.00) | 1.89 | 0.26 | 1.15 | 3.12 | 0.013 A |
[25] | China | 82 | 133 | 64 | 100 (60.98) | 133 | 133 (50.00) | 1.56 | 0.20 | 1.05 | 2.32 | 0.027 A |
[26] | China | 131 | 293 | 125 | 139 (52.65) | 338 | 248 (42.32) | 1.52 | 0.15 | 1.13 | 2.03 | 0.005 A |
[27] | China | 290 | 90 | 216 | 364 (62.76) | 95 | 85 (47.22) | 1.88 | 0.17 | 1.34 | 2.64 | 0.000 A |
[28] | China | 271 | 180 | 262 | 280 (51.66) | 149 | 211 (58.61) | 0.75 | 0.14 | 0.58 | 0.99 | 0.040 A |
[29] | India | 151 | 200 | 250 | 52 (17.22) | 363 | 37 (9.25) | 2.04 | 0.23 | 1.30 | 3.20 | 0.002 A |
[30] | India | 522 | 315 | 872 | 172 (16.48) | 560 | 70 (11.11) | 1.58 | 0.15 | 1.17 | 2.12 | 0.003 A |
[31] | India | 12 | 20 | 13 | 11 (45.83) | 37 | 3 (7.50) | 10.44 | 0.73 | 2.51 | 43.37 | 0.001 A |
[32] | India | 637 | 364 | 1048 | 226 (17.74) | 627 | 99 (13.64) | 1.37 | 0.13 | 1.06 | 1.76 | 0.017 A |
[33] | India | 206 | 230 | 358 | 54 (13.11) | 418 | 42 (9.13) | 1.50 | 0.22 | 0.98 | 2.30 | 0.062 |
[34] | India | 179 | 200 | 239 | 119 (33.24) | 240 | 160 (40.00) | 0.75 | 0.15 | 0.55 | 1.01 | 0.054 |
[35] | India | 100 | 100 | 186 | 14 (7.00) | 181 | 19 (9.50) | 0.72 | 0.37 | 0.35 | 1.47 | 0.365 |
[36] | Iran | 164 | 328 | 196 | 132 (40.24) | 436 | 220 (33.54) | 1.33 | 0.14 | 1.01 | 1.67 | 0.039 A |
[37] | Iran | 118 | 132 | 161 | 75 (31.78) | 206 | 58 (21.97) | 1.65 | 0.20 | 1.11 | 2.47 | 0.014 A |
[38] | Iran | 242 | 255 | 327 | 157 (32.44) | 386 | 124 (24.31) | 1.49 | 0.14 | 1.13 | 1.97 | 0.005 A |
[39] | Iran | 266 | 77 | 402 | 130 (24.44) | 74 | 80 (51.95) | 0.30 | 0.19 | 0.21 | 0.43 | 0.100 |
[40] | Iran | 300 | 303 | 430 | 170 (28.33) | 426 | 180 (29.70) | 0.94 | 0.13 | 0.73 | 1.20 | 0.600 |
[41] | Korea | 371 | 396 | 410 | 332 (44.73) | 490 | 302 (38.13) | 1.31 | 0.10 | 1.07 | 1.61 | 0.009 A |
[42] | Korea | 360 | 325 | 411 | 309 (42.92) | 402 | 248 (38.15) | 1.22 | 0.11 | 0.98 | 1.51 | 0.073 |
[43] | Korea | 85 | 246 | 104 | 66 (38.82) | 280 | 212 (43.09 | 0.84 | 0.18 | 0.59 | 1.20 | 0.332 |
[44] | Brazil | 156 | 233 | 222 | 90 (28.85) | 387 | 79 (16.95) | 1.99 | 0.18 | 1.41 | 2.80 | 0.000 A |
[45] | Brazil | 133 | 173 | 183 | 83 (68.80) | 299 | 47 (13.85) | 2.89 | 0.21 | 1.93 | 4.31 | 0.000 A |
[46] | Slovenia | 100 | 111 | 109 | 91 (45.50) | 144 | 78 (35.14) | 1.54 | 0.20 | 1.04 | 2.28 | 0.030 A |
[47] | Italy | 59 | 46 | 54 | 64 (54.24) | 57 | 35 (38.04) | 1.93 | 0.28 | 1.11 | 3.36 | 0.020 A |
[48] | Italy | 93 | 105 | 111 | 75 (40.32) | 119 | 91 (43.33) | 0.88 | 0.20 | 0.59 | 1.32 | 0.545 |
[49] | Turkey | 100 | 50 | 132 | 68 (34.00) | 80 | 20 (20.00) | 2.06 | 0.29 | 1.16 | 3.65 | 0.013 A |
[50] | Germany | 255 | 200 | 321 | 189 (37.09) | 273 | 127 (31.75) | 1.27 | 0.14 | 0.96 | 1.67 | 0.095 |
[51] | The Netherlands | 77 | 113 | 112 | 42 (27.27) | 148 | 78 (34.51) | 0.71 | 0.23 | 0.45 | 1.11 | 0.137 |
[52] | Serbia | 52 | 56 | 68 | 36 (34.62) | 72 | 40 (35.71) | 0.95 | 0.29 | 0.54 | 1.67 | 0.866 |
[53] | Poland | 284 | 352 | 399 | 169 (29.75) | 482 | 222 (31.53) | 0.92 | 0.12 | 0.72 | 1.17 | 0.494 |
[54] | Jordan | 150 | 150 | 197 | 103 (34.33) | 215 | 85 (28.33) | 1.32 | 0.18 | 0.97 | 1.87 | 0.114 |
[55] | Sweden | 149 | 182 | 209 | 89 (29.87) | 261 | 103 (28.30) | 1.08 | 0.17 | 0.77 | 1.51 | 0.658 |
[56] | France | 250 | 114 | 337 | 163 (32.00) | 150 | 78 (34.21) | 0.93 | 0.17 | 0.67 | 1.30 | 0.668 |
[57] | Russia | 180 | 301 | 250 | 110 (30.56) | 421 | 181 (30.07) | 1.02 | 0.14 | 0.77 | 1.36 | 0.873 |
[58] | Canada | 39 | 19 | 58 | 20 (51.22) | 21 | 17 (44.74) | 0.43 | 0.42 | 0.19 | 0.96 | 0.041 A |
OR: odds ratio; SE: standard error.
Genetic distribution of the
Study | Country | Patients | Controls | Patients | Controls | OR | SE | Lower Limit | Upper Limit | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|
[Refs.] | CC | CT + TT (%) | CC | CT + TT (%) | ||||||||
[18] | Egypt | 139 | 90 | 109 | 133 (54.96) | 144 | 111 (43.53) | 1.58 | 0.18 | 1.11 | 2.26 | 0.011 A |
[19] | Egypt | 107 | 107 | 55 | 84 (60.43) | 41 | 49 (54.44) | 1.28 | 0.27 | 0.75 | 2.18 | 0.370 |
[20] | Algeria | 74 | 84 | 31 | 43 (58.11) | 36 | 48 (57.14) | 1.04 | 0.32 | 0.55 | 1.96 | 0.902 |
[21] | Morocco | 344 | 690 | 199 | 145 (42.15) | 351 | 339 (49.13) | 0.75 | 0.13 | 0.58 | 0.98 | 0.034 A |
[22] | China | 182 | 53 | 27 | 155 (85.16) | 15 | 38 (71.70) | 2.27 | 0.37 | 1.10 | 4.67 | 0.027 A |
[23] | China | 355 | 252 | 130 | 225 (63.38) | 128 | 124 (49.21) | 1.79 | 0.17 | 1.29 | 2.48 | 0.001 A |
[24] | China | 75 | 72 | 27 | 48 (64.00) | 40 | 32 (44.44) | 2.22 | 0.34 | 1.15 | 4.31 | 0.018 A |
[25] | China | 82 | 133 | 14 | 68 (82.93) | 36 | 97 (72.93) | 1.80 | 0.35 | 0.90 | 3.60 | 0.095 |
[26] | China | 131 | 293 | 35 | 97 (73.48) | 98 | 293 (74.94) | 0.93 | 0.23 | 0.59 | 1.45 | 0.741 |
[27] | China | 290 | 90 | 39 | 251 (86.55) | 24 | 66 (73.33) | 2.34 | 0.29 | 1.32 | 4.16 | 0.004 A |
[28] | China | 271 | 180 | 75 | 196 (72.32) | 32 | 148 (82.22) | 0.57 | 0.24 | 0.35 | 0.90 | 0.016 A |
[29] | India | 151 | 200 | 105 | 46 (30.46) | 163 | 37 (18.50) | 1.93 | 0.25 | 1.17 | 3.17 | 0.010 A |
[30] | India | 522 | 315 | 378 | 144 (27.59) | 251 | 64 (20.32) | 1.49 | 0.17 | 1.07 | 2.09 | 0.019 A |
[31] | India | 12 | 20 | 4 | 8 (66.67) | 18 | 2 (10.00) | 18.00 | 0.96 | 2.72 | 19.23 | 0.003 A |
[32] | India | 637 | 364 | 447 | 190 (29.83) | 275 | 89 (24.45) | 1.31 | 0.15 | 0.98 | 1.76 | 0.068 |
[33] | India | 206 | 230 | 158 | 48 (23.30) | 188 | 42 (18.26) | 1.36 | 0.24 | 0.85 | 2.16 | 0.195 |
[34] | India | 179 | 200 | 81 | 98 (54.75) | 70 | 130 (65.00) | 0.65 | 0.21 | 0.43 | 0.99 | 0.042 A |
[35] | India | 100 | 100 | 86 | 14 (14.00) | 81 | 19 (19.00) | 0.69 | 0.38 | 0.33 | 1.48 | 0.342 |
[36] | Iran | 164 | 328 | 58 | 106 (64.63) | 144 | 184 (56.10) | 1.43 | 0.20 | 0.97 | 2.11 | 0.070 |
[37] | Iran | 118 | 132 | 51 | 67 (56.78) | 77 | 55 (41.67) | 1.84 | 0.26 | 1.11 | 3.04 | 0.017 A |
[38] | Iran | 242 | 255 | 109 | 133 (54.96) | 144 | 111 (43.53) | 1.58 | 0.18 | 1.11 | 2.26 | 0.011 A |
[39] | Iran | 266 | 77 | 153 | 113 (42.48) | 33 | 44 (57.14) | 0.55 | 0.26 | 0.33 | 0.92 | 0.024 A |
[40] | Iran | 300 | 303 | 161 | 139 (46.33) | 151 | 152 (50.17) | 0.86 | 0.16 | 0.62 | 1.18 | 0.347 |
[41] | Korea | 371 | 396 | 103 | 268 (72.24) | 145 | 251 (63.38) | 1.50 | 0.16 | 1.11 | 2.04 | 0.009 A |
[42] | Korea | 360 | 325 | 115 | 245 (68.06) | 118 | 207 (63.69) | 1.21 | 0.16 | 0.88 | 1.67 | 0.229 |
[43] | Korea | 85 | 246 | 30 | 55 (64.71) | 87 | 159 (64.63) | 1.00 | 0.26 | 0.60 | 1.68 | 0.990 |
[44] | Brazil | 156 | 233 | 81 | 75 (48.08) | 167 | 66 (28.33) | 2.34 | 0.22 | 1.53 | 3.58 | 0.000 A |
[45] | Brazil | 133 | 173 | 66 | 67 (50.38) | 136 | 37 (21.39) | 3.73 | 0.25 | 2.27 | 6.14 | 0.000 A |
[46] | Slovenia | 100 | 111 | 29 | 71 (71.00) | 47 | 64 (57.66) | 1.80 | 0.29 | 1.01 | 3.19 | 0.045 A |
[47] | Italy | 59 | 46 | 11 | 48 (81.36) | 18 | 28 (60.87) | 2.81 | 0.45 | 1.16 | 6.78 | 0.022 A |
[48] | Italy | 93 | 105 | 37 | 56 (60.22) | 43 | 62 (59.05) | 1.05 | 0.29 | 0.59 | 1.85 | 0.867 |
[49] | Turkey | 100 | 50 | 44 | 56 (56.00) | 30 | 20 (40.00) | 1.91 | 0.35 | 0.96 | 3.81 | 0.066 |
[50] | Germany | 255 | 200 | 114 | 141 (55.29) | 92 | 108 (54.00) | 1.05 | 0.19 | 0.73 | 1.53 | 0.783 |
[51] | The Netherlands | 77 | 113 | 42 | 35 (45.45) | 50 | 63 (55.75) | 0.66 | 0.30 | 0.37 | 1.18 | 0.164 |
[52] | Serbia | 52 | 56 | 22 | 30 (57.69) | 23 | 33 (58.93) | 0.95 | 0.39 | 0.44 | 2.04 | 0.896 |
[53] | Poland | 284 | 352 | 143 | 256 (64.16) | 166 | 316 (65.56) | 0.94 | 0.14 | 0.71 | 1.24 | 0.665 |
[54] | Jordan | 150 | 150 | 67 | 83 (55.33) | 74 | 76 (50.67) | 1.21 | 0.23 | 0.77 | 1.90 | 0.418 |
[55] | Sweden | 149 | 182 | 73 | 76 (51.01) | 94 | 88 (48.35) | 1.11 | 0.22 | 0.72 | 1.72 | 0.631 |
[56] | France | 250 | 114 | 118 | 132 (52.80) | 49 | 65 (57.02) | 0.84 | 0.23 | 0.54 | 1.32 | 0.454 |
[57] | Russia | 180 | 301 | 89 | 91 (50.56) | 153 | 148 (49.17) | 1.06 | 0.19 | 0.73 | 1.53 | 0.769 |
[58] | Canada | 39 | 19 | 22 | 17 (43.59) | 8 | 11 (57.89) | 0.56 | 0.57 | 0.19 | 1.70 | 0.308 |
OR: odds ratio; SE: standard error.
In addition, the
Although a single study that took folate levels as a factor of infertility in Caucasian men also found no association of 677T with male infertility, we can assume, depending on the socioeconomic and health facilities that the Caucasians may have comparatively more chances of folate supplementation than Asians, thus lowering the association of 677T with infertility [42,59,60]. The previous studies described that 35.0% of the Pakistani population is folate deficient (61) and no organized folate supplementation program is currently working for the general population.
The present study of the association between idiopathic sperm disorders and the