Effects of Vitamin D Supplementation on Semen Quality and Reproductive Hormones in Patients with Asthenozoospermia: A Randomized Double-Blind Placebo-Controlled Clinical Trial
Alireza Gheflati; MSc1, Seyed Ali Mohamad Mirjalili; MD2, Mojtaba Kaviani; PhD3, Amin Salehi-Abargouei; PhD1, Elham Hosseini-Marnani; MSc1 & Azadeh Nadjarzadeh; PhD*1
1 Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
2 Department of Urology, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
3 School of Pure and Applied Science, School of Nutrition and Dietetics, Acadia University, Wolfville, NS, Canada.
ARTICLE INFO |
|
ABSTRACT |
ORIGINAL ARTICLE |
Background: Animal models and observational studies have suggested a favorable role of vitamin D in male reproduction. However, randomized clinical trials investigating the effect of vitamin D supplementation on male fertility are limited. Therefore, this study aimed to examine the effect of vitamin D supplementation on semen quality, reproductive hormones, and anthropometric measurements in vitamin D deficient males with Asthenozoospermia. Methods: Forty-four males with infertility were randomly assigned to the vitamin D group (DG, supplemented with 9 pearls of vitamin D containing 50000 IU vitamin D3 once a week for 12 weeks) and placebo group (PG, received 9 pearls of placebo once a week for 12 weeks). Semen quality markers (sperm count, morphology, sperm motility, semen volume), total testosterone, sexual hormone binding globulin (SHBG), free androgen index (FAI), and anthropometric measurements (weight, body mass index (BMI), waist circumference (WC), hip circumference (HC), and waist to hip ratio (WHR) were measured at the baseline and the end of the study. Results: Serum 25-OH-D levels were significantly higher in the DG compared with the PG. In a multivariate adjusted model, WC significantly decreased in the DG in comparison to the CG (-0.90 ± 0.67 cm VS 0.49 ± 0.38 cm). A marginally-significant increase was observed after vitamin D supplementation for SHBG compared to the baseline value in DG (11.69 ± 5.79, P = 0.05). Compared to the baseline value, sperm immotile was decreased after vitamin D supplementation in the DG (-12.35 ± 5.13, P = 0.02). However, no statistical significant differences were observed in the semen quality markers (sperm count, morphology, motility, and volume), total testosterone, free androgen index, and other anthropometric values. Conclusions: Vitamin D supplementation did not improve semen quality markers, reproductive hormones, and other anthropometric measurements in vitamin D–deficient infertile men compared to the control group.
Keywords: Vitamin D; Male infertility; Semen quality; Reproductive hormones |
Article history:
Received: 10 Jun 2019
Revised:21 Jun 2020
Accepted: 2 Mar 2020 |
*Corresponding author:
azadnajarzadeh@ssu.ac.ir
Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Postal code: 8915173160
Tel: +98 35 38209114 |
Introduction
Infertility is defined as the inability to conceive after 12 months of regular intercourse without contraception (Monga
et al., 2004). In the past two decades, the rate of infertility has remained unchanged, so that 49 million couples were affected by this health issue by 2010 (Skakkebaek
et al., 2015). According to the World Health Organization (WHO), infertility is defined as a sperm concentration of less than 15 million per milliliter (oligozoospermia), less than 40% of sperm with motility (asthenozoospermia), and less than 4% with normal morphologic features (teratozoospermia) (World Health Organization, 2010a). Several treatment procedures have been recommended to treat affected couples including assisted reproductive techniques (ARTs) (Reproduction
et al., 2016), empirical drugs (clomiphene citrate and Tamoxifen) (Chua
et al., 2013), and other miscellaneous therapies such as androgens (Dohle
et al., 2003), alpha-blockers (Yamamoto
et al., 1986) and magnesium supplementation (Závaczki
et al., 2003) . However, none of these options were effective based on the European Association of Urology statement in treating semen quality disorders (Jungwirth
et al., 2015). However, a large body of research supports the beneficial effects of lifestyle modifications on the sperm quality (Gopalan and Naidu, 1972, Jensen, 2014, Tüttelmann
et al., 2012).
Recently, special attention has been paid to the effect of vitamin D supplementation on reproductive outcomes in both genders (Anagnostis
et al., 2013). One of the earliest findings was that vitamin D maintains calcium and phosphorus hemostasis (Holick, 2007). Gradually, evidences suggested that vitamin D deficiency increased the risk of cancers (Lappe
et al., 2007), autoimmune diseases (Szodoray
et al., 2008), diabetes (Pittas
et al., 2007), and cardiovascular diseases (Pilz
et al., 2011b). Some evidences indicated other effects of vitamin D (Bikle, 2009, Lerchbaum and Obermayer-Pietsch, 2012a) in modulating reproductive process in addition to sex steroid hormones (Blomberg Jensen
et al., 2010, Kinuta
et al., 2000). The vitamin D receptor (VDR) is expressed in most organs (Jensen, 2014). Vitamin D is not biologically active; it has to be activated by hepatic 25-hydroxylation that converts cholecalciferol into metabolite 25-hydroxyvitamin D (25OHD). Renal 1a-hydroxylase converts 25OHD into the active metabolite 1,25-(OH)2D3 that binds and activates VDR (Bouillon
et al., 2008). Previous studies revealed that detrimental mutations in VDR are associated with a wide range of diseases such as osteoarthritis (Colombini
et al., 2013), prostate cancer (Ingles
et al., 1997), and diabetes (Ogunkolade
et al., 2002). However, these mutations are highlighted in infertility and reproductive disorders (Boisen
et al., 2017).
Some specific mechanisms have been proposed through which vitamin D influences male fertility remain unclear. Vitamin D receptors exist in human testis (Habib
et al., 1990) and also sperm cells (Corbett
et al., 2006). The metabolizing enzymes in the human testis, ejaculatory tract, and sperm cells indicate the role of vitamin D in spermatogenesis (Blomberg Jensen
et al., 2010). It was shown that internal sperm Ca
2+ quantities provide sufficient Ca
2+ for the induction of sperm motility (Kong
et al., 2007). Aquila et al. revealed that 1,25-(OH)2D3 increased intracellular sperm Ca
2+ (Aquila
et al., 2009). Moreover, 1,25-(OH)2D3 can influence the sperm extra testicular motility by its potential action on acrosin activity (Aquila
et al., 2009).
Previous animal studies have shown lower fertility rates among vitamin D–deficient males in comparison with vitamin D–sufficient ones (Kwiecinski
et al., 1989, Uhland
et al., 1992). A study on mutant mice without VDR showed decreased sperm count and motility along with histological testis abnormality (Kinuta
et al., 2000). In another attempt, Jensen et al. reported that vitamin D supplementation had no effect on sperm quality (Blomberg Jensen
et al., 2017a); while Alzoubi et al. revealed sperm motility improvement in idiopathic male infertility patients with low vitamin D following oral vitamin D administration (vitamin D, 5000 IU, daily for two months) (Alzoubi
et al., 2017). Clinical trials over vitamin D supplementation on infertility are rare. Therefore, we aimed to investigate the effect of vitamin D supplementation in infertile male patients with vitamin D deficiency on sperm quality parameters, especially sperm motility. Moreover, we assessed its potential effects on sexual hormone binding globulin (SHBG) and testosterone.
Material and Methods
Study participants: Outpatients attending Yazd Research & Clinical Center for Infertility affiliated with Yazd University of Medical Sciences underwent medical screening before participating in the study. According to the sample size formula suggested for randomized clinical trials, our sample size was estimated as 22 patients in each group considering α = 0.05, test power of 90%, sperm motility as a key variable, and 10% attrition. Eligible participants were defined by having 1) 18-45 years of age, 2) sperm motility disorder based on WHO criteria; passing at least one year from the time the couple decided to have a baby, 3) low levels of 25-hydroxy-D (25-OH-D) < 30 ng/ml.
In total, 44 eligible individuals were recruited as new cases of asthenozoospermia patients diagnosed by urologist. The exclusion criteria were as follows: 1) intake of vitamin D and calcium supplements in the last 3 months, 2) participants who had varicocele, cryptorchidism, microorchidism, and individuals with azoospermia and a history of vasectomy, 3) intake of less than 90% of the vitamin D pearls.
Ethical considerations: This study was conducted according to the guidelines provided by the Declaration of Helsinki. Furthermore, Ethics Committee in Shahid Sadoughi University of Medical Sciences approved the study protocol. Oral assent and informed written consent were obtained from all patients after providing them with detailed explanations about the study methods, purposes, advantages, and risks at baseline. This trial was registered at
www.irct.ir with registration code: IRCT20120913010826N29.
Study design: This randomized, parallel, double-blind, and placebo-controlled clinical trial was conducted in the Infertility Research Center, Yazd, Iran from October 2017 to July 2018. Participants were randomly divided to 2 groups (in 1:1 ratio) to take either vitamin D supplementation (DG) or the placebo (PG) for 12 weeks. DG received 9 pearls containing 50.000 IU vitamin D3 every 8 consecutive weeks and only one pearl in the third month for maintaining the dose. Patients in the PG received 9 placebo pearls, containing paraffin oil to take once a week and only one placebo in the third month, which was similar to the intervention group.
Appearance of the placebo pearls (color, shape, size, and packaging) was completely similar to the vitamin D pearls. All supplements were manufactured by Zahravi Pharmaceutical, Co., Tabriz, Iran. Supplements were coded as A or B and were placed in a similar sealed envelope by a third person. Patients were randomly assigned into the study groups using a computer-generated random sequence. The randomization sequence was concealed until the last participant completed the final visit. A trained clinician who was blinded to the treatment allocation recruited and assessed all participants. The follow up sessions with the patients were performed once a week by a phone call to ensure that all capsules were consumed. Compliance was assessed by counting the remained pearls. Individuals who consumed less than 90% of the capsules were excluded from the analysis. Moreover, as participants were provided with a tracking chart; they were supposed to fill it out and return it at the next visit. Participants were asked not to change their daily physical activity throughout the study and their dietary intakes were assessed using a 3-day food records completed during the study. Nutritionist IV software (First Databank), modified for Iranian foods, was used to calculate energy and nutrient intake of participants based on a 3-day food record.
Measurements: All measurements were performed at the study baseline and 12 weeks after the intervention. The patients’ body weight was measured in minimal clothing and without shoes using a digital scale (model BF511; Omron, Japan) to the nearest 0.1 kg. Height measurement was carried out in standing position, without shoes, and by a non-stretched tape measure (Seca, Germany) with 0.1 cm accuracy. Body mass index (BMI) was calculated by weight (kg) divided by height squared (m) and expressed as kg/m
2. Waist circumference (WC) was obtained as the lowest amount between iliac crest and lateral costal margin. Hip circumference (HC) was recorded over the largest part of buttocks. Other anthropometric indices were assessed by body composition analyzer (model BF511; Omron, Japan). Physical activity of participants was determined by multiplying metabolic equivalent (MET) derived from a valid self-reported physical activity questionnaire by hour and day (MET/h/d). A questionnaire that was categorized into nine groups ranging from sleep/rest (MET 0.9) to vigorous physical activity was used for assessing the participants’ physical activity (MET 6) (Aadahl and JØrgensen, 2003). Participants were asked not to change their usual physical activity level throughout the study.
Fasting blood samples were collected from 8 am and 10 am. Consequently, 10 ml blood sample of peripheral venous was obtained after a 12-h overnight fasting at the beginning and end of the study. Blood samples were centrifuged at 3500 rpm for 10 min and aliquots of serum were stored in -70 °C refrigerator. Serum 25-OH-D levels were measured by a commercial ELISA kit (IDS, Boldon, UK) with inter- and intra-assay CVs of 4.4 to 6.6%. Sexual hormone binding globulin (SHBG) and serum total testosterone were assessed using commercial kits (diameter, Milano, Italy). Inter- and intra-assay CVs were 3.4 to 5.0% and 3.9 to 5.7%, respectively. In addition, free androgen index (FAI) was calculated as the ratio of total testosterone to SHBG.
Semen samples were taken by masturbation in a room near the laboratory and kept at 37 °C. Patients were asked not to ejaculate for at least 48 h before sampling. Semen analysis was conducted considering the WHO guidelines (World Health Organization, 2010b). Sperm parameters like sperm count (10
6/ml), motility, viability, and normal morphology were assessed on behalf of 200 spermatozoa for each sample. Sperm count and motility were evaluated by means of Makler chamber using a light microscopy (Olympus Co., Tokyo, Japan). The viability and morphology were assessed by Eosin and Papanicolaou staining tests, respectively.
Data analysis: All statistical analyses were performed using SPSS for Windows (SPSS Version 20; SPSS Inc., Delaware). Kolmogorov-Smirnov test was run to assess the normal distributions of variables. Log transformation was performed for non-normally distributed variables. Independent t-test was applied to assess the difference in means of general characteristics, dietary intake, mean of biomarkers at the baseline and at the end of study and changes in biomarkers between DG and PG. Paired t-test was performed to compare the baseline and endpoints values within each group. Crude and a multivariate-adjusted model (adjusted for baseline weight, baseline values, and smoking) were conducted to compare mean changes between the intervention and control groups. Analysis of covariance and independent student t-test were performed in crude and in multivariate-adjusted models analysis, respectively.
Results
Of 44 recruited patients, 4 persons withdrew from the study due to low compliance or personal reasons (
Figure 1). In total, 40 individuals were randomly allocated into two groups; DG and PG (twenty in each group).
Table 1 summarizes the baseline characteristics of patients. The mean of age was 32.3 ± 5.8 years in the DG and was 33 ± 5.48 years in the PG
(
P = 0.69). As revealed in
Table 1, no statistically significant difference was found in weight
(
P = 0.63), BMI (
P = 0.15), WC (
P = 0.43), and HC (
P = 0.60).
As demonstrated in
Table-2, no statistically significant differences were observed between the DG and PG in energy intake, carbohydrate, fat, protein, saturated fat, cholesterol, sodium, potassium, calcium, iron, zinc, Selenium, Vitamin B6, Vitamin B12, Vitamin C, Vitamin E, and fiber intake as well as physical activity level in the baseline. Furthermore, none of these parameters showed significant differences before and after the intervention with regard to the DG and PG. In addition, no significant change was found in the mean change of all measurements.
Table 3 demonstrates the change of anthropometric indices in both groups. As it is represented, anthropometric indices were not significantly different between the two groups at the beginning of the study. According to the results, within group analysis showed no significant differences in mean weight, BMI, WC, HC, and WHR in both groups, although, the comparison between two groups showed a marginally significant decreased in WC in the DG (
P = 0.08). Additionally, the results of adjustments represent a significant decrease of WC in the DG (
P = 0.03).
Table 4 displays the effect of intervention on semen quality and reproductive hormones in both groups after 12 weeks of the intervention. Between-group analysis showed significant differences for serum 25-OH- D levels between the two groups (
P < 0.001). Among sperm quality markers, only sperm motility (immotile form) decreased significantly in the DG (
P = 0.02). However, sperm count, sperm motility (progressive), (non-progressive), sperm morphology, and sperm volume did not change significantly in the DG. Compared with the baseline values, SHBG was marginally increased in the DG (
P = 0.05). The intervention did not significantly change the other markers. The multivariate adjusted model between two groups revealed no significant differences between the two groups (
Table 4).
Table 1. Comparison mean (±SE) of baseline characteristics of participants in both groups. |
|
Variables |
Vitamin D group (n = 20) |
Placebo group (n = 20) |
P-valuea |
Age (y) |
32.30 ± 1.30 |
33.00 ± 1.22 |
0.69 |
Height (cm) |
174.7 ± 1.56 |
171.15 ± 1.89 |
0.15 |
Weight (kg) |
75.14 ± 3.42 |
77.71 ± 4.12 |
0.63 |
Body mass index (kg/m2) |
24.47 ± 0.86 |
26.34 ± 0.97 |
0.15 |
Waist circumference (cm) |
92.33 ± 2.73 |
95.38 ± 2.69 |
0.43 |
Hip circumference (cm) |
99.04 ± 1.67 |
100.44 ± 2.06 |
0.60 |
a: Student t-test |
|
|
|
Table 2. Comparison mean (±SE) of nutrients and calorie intake within and between groups. |
|
Variables |
Before |
After |
P-valuea |
Change |
Energy (kcal)
Vitamin D group
Placebo group
P-valueb |
2150.59 ± 111.39
2284.65 ± 123.08
0.42 |
2132.68 ± 121.94
2328.68 ± 118.53
0.25 |
0.60
0.05 |
-17.90 ± 34.03
44.03 ± 21.21
0.13 |
Carbohydrate (g)
Vitamin D group
Placebo group
P-value |
309.36 ± 15.08
337.52 ± 17.37
0.22 |
303.79 ± 18.59
338.44 ± 16.05
0.16 |
0.56
0.85 |
-5.56 ± 9.54
0.92 ± 4.93
0.54 |
Protein (g)
Vitamin D group
Placebo group
P-value |
79.14 ±5 .41
92.55 ± 7.93
0.17 |
81.55 ± 5.55
92.84 ± 7.74
0.24 |
0.53
0.93 |
2.40 ± 3.83
0.29 ± 3.29
0.67 |
Fat (g)
Vitamin D group
Placebo group
P-value |
68.21 ± 4.67
65.51 ± 5.39
0.70 |
67.16 ± 5.69
70.17 ± 4.74
0.68 |
0.79
0.11 |
-1.04 ± 3.86
4.65 ± 2.84
0.24 |
Saturated fatty acids (g)
Vitamin D group
Placebo group
P-value |
19.67±1.89
20.32±2.38
0.83 |
19.43 ± 2.17
21.95 ± 2.05
0.40 |
0.85
0.36 |
-0.23 ± 1.29
1.63 ± 1.7
0.39 |
Cholesterol (mg)
Vitamin D group
Placebo group
P-value |
310.20 ± 48.08
403.58 ± 70.93
0.28 |
428.20 ± 59.41
441.70 ± 78.30
0.89 |
0.06
0.35 |
118.0 ± 60.6
38.11 ± 40.34
0.28 |
Fiber (g
Vitamin D group
Placebo group
P-value) |
15.22 ± 1.36
15.98 ± 1.27
0.68 |
15.27 ± 1.37
17.01 ± 1.69
0.42 |
0.94
0.48 |
0.04 ± 0.69
1.03 ± 1.43
0.54 |
Sodium (mg)
Vitamin D group
Placebo group
P-value |
1081.47 ± 198.04
1271.04 ± 176.48
0.47 |
988.23 ± 203.07
1262.97 ± 145.02
0.27 |
0.36
0.92 |
-93.24 ± 100.46
-8.06 ± 85.12
0.52 |
Potassium (mg)
Vitamin D group
Placebo group
P-value |
1975.02 ± 138.66
2096.17 ± 178.41
0.59 |
2058.50 ± 160.36
1952.99 ± 194.99
0.67 |
0.52
0.22 |
83.47 ± 128.43
-143.18 ± 113.50
0.19 |
Calcium (mg)
Vitamin D group
Placebo group
P-value |
662.20 ± 105.85
669.53 ± 57.55
0.95 |
663.72 ± 104.05
650.24 ± 58.99
0.91 |
0.98
0.32 |
1.52 ± 63.31
-19.28 ± 18.95
0.75 |
Iron (mg)
Vitamin D group
Placebo group
P-value |
17.46 ± 1.22
19.41 ± 1.14
0.25 |
18.02 ± 1.05
18.43 ± 1.16
0.79 |
0.46
0.36 |
0.56 ± 0.74
-0.97 ± 1.05
0.24 |
Zinc (mg)
Vitamin D group
Placebo group
P-value |
7.82 ± 0.78
7.23 ± 0.56
0.54 |
8.67 ± 0.91
7.66 ± 0.56
0.35 |
0.18
0.49 |
0.85 ± 0.62
0.43 ± 0.61
0.63 |
Selenium (mg)
Vitamin D group
Placebo group
P-value |
0.08 ± 0.006
0.08 ± 0.009
0.81 |
0.08 ± 0.009
0.10 ± 0.01
0.21 |
0.97
0.12 |
0.0003 ± 0.009
0.018 ± 0.01
0.21 |
Vitamin B6 (mg)
Vitamin D group
Placebo group
P-value |
1.41 ± 0.23
1.40 ± 0.17
0.98 |
1.40 ± 0.21
1.28 ± 0.17
0.67 |
0.90
0.27 |
-0.01 ± 0.08
-0.12 ± 0.48
0.42 |
Vitamin B12 (µg)
Vitamin D group
Placebo group
P-value |
3.45 ± 0.65
4.53 ± 1.28
0.45 |
4.08 ± 0.87
3.54 ± 1.11
0.70 |
0.55
0.23 |
0.63 ± 1.06
-0.99 ± 0.80
0.23 |
Vitamin C (mg)
Vitamin D group
Placebo group
P-value |
79.47 ± 13.24
105.11 ± 15.08
0.20 |
87.20 ± 14.28
88.94 ± 16.22
0.93 |
0.58
0.36 |
7.72 ± 13.86
-16.16 ± 17.42
0.29 |
Vitamin E (mg)
Vitamin D group
Placebo group
P-value |
2.19 ± 0.19
3.09 ± 0.68
0.22 |
2.16 ± 0.23
4.37 ± 1.10
0.06 |
0.91
0.17 |
-0.02 ± 0.25
1.28 ± 0.91
0.18 |
a: paired t-test; b:Student t-test. |
Table 3. Comparison mean (±SE) of anthropometric indices in both groups at baseline and after 12 weeks. |
|
Variables |
Before |
After |
P-valuea |
Change |
Weight (kg)
Vitamin D group
Placebo group
P-valueb |
75.14 ± 3.42
77.71 ± 4.12
0.63 |
75.47 ± 3.74
77.57 ± 4.08
0.70 |
0.57
0.45 |
0.33 ± 0.59
-0.14 ± 0.18
0.44 |
Body mass index (kg/m2)
Vitamin D group
Placebo group
P-value |
24.47 ± 0.86
26.34 ± 0.95
0.15 |
24.28 ± 0.95
26.27 ± 0.94
0.14 |
0.36
0.30 |
-0.18 ± 0.19
-0.07 ± 0.06
0.59 |
Waist circumference (cm)
Vitamin D group
Placebo group
P-value |
92.33 ± 2.73
95.38 ± 2.69
0.43 |
91.42 ± 2.92
95.87 ± 2.75
0.27 |
0.19
0.21 |
-0.90 ± 0.67
0.49 ± 0.38
0.08 |
Hip circumference (cm)
Vitamin D group
Placebo group
P-value |
99.04 ± 1.67
100.62 ± 1.88
0.60 |
98.34 ± 1.86
100.44 ± 2.06
0.39 |
0.24
0.66 |
-0.70 ± 0.58
0.18 ± 0.40
0.22 |
Waist to hip circumference
Vitamin D group
Placebo group
P-value |
0.92 ± 0.01
0.94 ± 0.01
0.33 |
0.92 ± 0.01
0.94 ± 0.01
0.23 |
0.54
0.58 |
-0.003 ± 0.004
0.002 ±0.004
0.41 |
a: Paired t-test; b: Student t-test. |
Table 4. Comparison mean (±SE) of semen quality and reproductive hormones in both groups at the baseline and after 12 weeks. |
|
Variables |
Before |
After |
P-valuea |
Change |
Vitamin D (nmol/l)
Vitamin D group
Placebo group
P-valueb |
16.26 ± 1.71
17.79 ± 1.36
0.49 |
49.92 ± 3.11
31.17 ± 2.25
<0.001 |
<0.001
<0.001
|
33.66 ± 4.03
13.38 ± 1.67
<0.001 |
SHBG (mmol/l)
Vitamin D group
Placebo group
P-value |
36.12 ± 3.41
28.78 ± 3.36
0.13 |
47.82 ± 6.85
32.73 ± 3.56
0.06 |
0.05
0.11 |
11.69 ± 5.79
3.95 ± 2.39
<0.001 |
Testosterone (nmol/l)
Vitamin D group
Placebo group
P-value |
4.20 ± 0.39
3.09 ± 0.24
0.01 |
4.61 ± 0.46
3.40 ± 0.29
0.03 |
0.26
0.14 |
0.41 ± 0.36
0.31 ± 0.20
0.81 |
Free androgen index
Vitamin D group
Placebo group
P-value |
0.12 ± 0.01
0.19 ± 0.05
0.25 |
0.16 ± 0.03
0.26 ± 0.10
0.33 |
0.97
0.98 |
0.03 ± 0.15
0.07 ± 0.07
0.97 |
Sperm count (million/ml)
Vitamin D group
Placebo group
P-value |
45.00 ± 9.72
54.94 ± 11.34
0.51 |
53.9 ± 10.19
46.13 ± 9.61
0.58 |
0.11
0.24 |
8.90 ± 5.36
-8.81 ± 7.32
0.05 |
Sperm progressive motility (%)
Vitamin D group
Placebo group
P-value |
21.50 ± 1.84
22.9 ± 1.59
0.56 |
25.10 ± 3.10
24.75 ± 2.22
0.92 |
0.17
0.52 |
3.60 ± 2.57
24.75 ± 2.22
0.65 |
Sperm non-progressive motility (%)
Vitamin D group
Placebo group
P-value) |
10.60 ± 0.84
10.70 ± 0.91
0.93 |
9.40 ± 0.99
9.90 ± 0.56
0.66 |
0.31
0.46 |
-1.20 ± 1.16
-0.80 ± 1.08
0.80 |
Sperm immotile (%)
Vitamin D group
Placebo group
P-value |
67.85 ± 1.82
66.40 ± 1.79
0.57 |
55.50 ± 4.98
65.35 ± 2.49
0.08 |
0.02
0.74 |
-12.35 ± 5.13
-1.05 ± 3.11
0.02 |
Sperm morph (normal %)
Vitamin D group
Placebo group
P-value |
2.65 ± 0.33
2.35 ± 0.26
0.48 |
2.80 ± 0.34
2.05 ± 0.24
0.08 |
0.19
0.95 |
0.15 ± 0.20
-0.30 ± 0.25
0.38 |
Semen volume (ml)
Vitamin D group
Placebo group
P-value |
3.39 ± 0.33
3.48 ± 0.33
0.86 |
3.28 ± 0.42
3.52 ± 0.38
0.67 |
0.68
0.92 |
-0.11 ± 0.28
0.04 ± 0.46
0.77 |
a: Paired t-test; b: Student t-test |
Discussion
Our findings demonstrated that consuming 50,000 IU vitamin D for 12 weeks decreased WC significantly. However, no significant change
was observed on semen quality markers (sperm count, morphology, sperm motility, semen volume), total testosterone, SHBG, FAI, and other anthropometric measurements (weight, BMI, HC, and WHR). To the best of our knowledge, this study is one of the first randomized clinical trials in this area.
After completion of the intervention, serum 25-OH-D levels of the DG and PG were 49.9 nmol/l and 31.17 nmol/l, respectively. The mean serum 25-OH-D concentrations of the DG was significantly higher than the PG. Seasonal variation in the endogenous vitamin D synthesis might explain the increased vitamin D levels in the PG partly, because most men were recruited during winter and spring (Alzoubi et al., 2017).
A large body of research has revealed the association between some nutrients intake such as folic acid, polyunsaturated fatty acids, and plant based diets; however, rare studies are available over the effect of Vitamin D supplementation
and infertility outcomes. Therefore, further investigations are needed to clarify this matter appropriately (Panth et al., 2018). Nevertheless, we aimed to investigate the effect of vitamin D supplementation on infertility outcomes and assessed nutrient intakes and physical activity as confounding effects. In fact, we wanted to minimize the confounding effects on the final results and assessing nutrient intake was not our primary aim.
Although many recent investigators (Lerchbaum and Obermayer-Pietsch, 2012b) studied the role of vitamin D on semen quality and spermatogenesis, it is not fully understood. For example, Blomberg Jensen et al. investigated the association of semen quality and vitamin D status in 300 men. The results of their study showed a positive correlation between serum 25-OH-D concentrations and sperm motility and progressive motility. Furthermore, Vitamin D deficient men (<10 ng/ml) had a lower proportion of progressive motile in comparison to men with sufficient vitamin D status (> 30 ng/ml) (Blomberg Jensen et al., 2011). Some evidences from observational studies suggest an association between vitamin D and semen quality, but the data from RCTs are very rare. In a randomized clinical trial on 117 Jordanian males, idiopathic infertility men with low vitamin D levels were prescribed with oral vitamin D, 50,000 IU daily for two months. The results demonstrated that vitamin D supplementation had beneficial effects on sperm motility in vitamin D deficient idiopathic male infertility patients (Alzoubi et al., 2017). In a randomized placebo-controlled clinical trial, 121 male patients with chronic prostatitis or chronic pelvic pain syndrome were prescribed a synthetic form of vitamin D3 for 3 months. The findings of this study showed a significant decrease in IL 8, resulting in an improvement in semen quality and motility (Tiwari, 2009).
Similar to our findings, the results of an RCT on 235 men showed that vitamin D supplementation did not improve semen quality markers in vitamin D insufficient infertile males. The participants in this study received cholecalciferol 300,000 IU initially. Later, the treatment group received 1400 IU cholecalciferol plus 500 mg of calcium once a day for 150 days, while the control group received the placebo (Blomberg Jensen et al., 2017b).
Semen quality parameters are not the best predictor markers of male fertility (Guzick et al., 2001). However, they are still practical in clinical use because better alternatives are lacked (Zinaman et al., 2000). For instance, total sperm count and sperm volume are susceptible to inter- and intra-individual changes, which may support results of the current study (Carlsen et al., 2005).
Previous observational studies indicated some controversial associations between vitamin D status and serum androgen levels. For instance, Wher et al, investigated 2299 German men and reported that vitamin D was directly associated with FAI and inversely associated with SHBG (Wehr et al., 2010). However, the results of another cross-sectional study on 307 healthy men demonstrated that vitamin D had a negative and positive relationship with FAI and SHBG, respectively (Ramlau-Hansen et al., 2011). The number of clinical trials over the effect of Vitamin D consumption on FAI and reproductive hormones on males with infertility is limited. In contrast with our findings, in a 1-year clinical trial on 54 healthy men with deficient vitamin D levels, consuming either 83 µg vitamin D increased testosterone levels significantly (Pilz et al., 2011a). However, in the current study, we did not observe any significant changes in the testosterone levels, which could be induced by the short intervention period in our study (12-weeks).
This study has some limitations. We could not perform our study throughout a year to control vitamin D variations in different seasons. Therefore, we failed to control the variation of endogenous vitamin D in different seasons. Moreover, the small sample size and short interventional period are among other limitations.
The main strengths of our study are as the following. Our research is the first study to investigate the effect of vitamin D supplementation on semen quality markers and reproductive hormones in Asian countries. Second, the generalizability of our results is acceptable since the Infertility Research Center Yazd is a referral research center in Iran and many patients refer to this venter for therapeutic purposes from all over the country. Third, we had a low attrition rate (4 people) and good compliance. In conclusion, our study demonstrated that vitamin D supplementation had no effect on sperm quality markers or reproductive hormones in vitamin D deficient males with Asthenozoospermia. However, Vitamin D treatment decreased WC significantly compared with those men in the placebo group. Although a large body of research from animal studies and human studies (exclusively cross-sectional studies) suggest that vitamin D is involved in many reproductive system functions in both genders, the supporting randomized clinical trials in this regard are rare. Thus, new well-designed clinical trials with superior methodological designs are needed to provide new insights to the role of vitamin D on the treatment of male infertility.
Conflict of interest
Authors declared no conflict of interests.
Acknowledgments
We would like to thank the members of staff at Shahid Sadoughi University of Medical Sciences. We are much indebted to them for their support and advice. We would also like to thank all the participants in this study who shared their time and perspectives with us.
Authors’ contributions
Gheflati AR, Nadjarzadeh A, Mirjalili SAM and Salehi-Abargouei A designed, performed and conducted the design theory of the study. Hosseini-Marnani E supported in statistical analyses and Gheflati AR wrote this article. Nadjarzadeh A and Kaviani M revised and approved the final version of the article. All authors have approved the final article.
Funding source
This study was funded by Shahid Sadoughi University of Medical Sciences, Yazd, Iran (http://www.ssu.ac.ir).
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