Abstract
Objective: To evaluate the relationship between Vitamin D (VD) and Cortisol (C) in seminal plasma (SP) and sperm quality.
Design: Ninety-one sperm samples from patients consulting for infertility analyzed according WHO and Computer Aided System. Normozoospermics (N, n=43); Pathological (P, n=48).
Methods: VD and C were measured by chemiluminescent methods. C was determined in saliva, serum, and SP while VD in the two latter ones in ten patients.
Results: C was 1.48±0.56 and 1.85±0.79 ug/dl while Vit D was 27.5±10.3 and 28.52±7.74 ng/ml in N and P seminal plasma (mean±SD; p=0.020 and NS respectively). A negative correlation was found between C and Progressive Motility (%) (r=-0.241, p=0.03) and sperm count (r=-0.395, p‹0.001), being positive for lateral amplitude head displacement (r=0.258, p=0.022). VD did not correlate with any of the studied parameters. In the pathological samples VD in SP, correlated with total motility (r=0.350, p=0.025). C in SP represents approximately 10% of the serum concentration, with a higher concentration of VD in SP than in serum. A significant correlation was found between serum C and seminal plasma and saliva C (r=0.90, p‹0.001 and r=0.81, p=0.04, respectively). C in SP correlated with C in saliva (r=0.934, p=0.001). There was no correlation of the VD in serum and SP.
Conclusions: Cortisol would inversely affect sperm count and motility, imprinting a particular kinetics. In the pathological population, VD could have a non-genomic effect on sperm motility. Cortisol in SP as in saliva would be an ultrafiltrate of serum, while there would be local production of VD.
Keywords: Male Infertility; Phsycosocial Stress; Sperm Kinetics; Seminal plasma; Cortisol; Vitamin D
Introduction
Semen analysis is a testis, hormone status and male genital tract functional test. Data on sperm count, motility and morphology allow to characterize un infertile patient, as oligospermic, asthenozoospermic, teratozoospermic if deficiency of the respective parameters are observed. Combination of this features are frequently reported by the Andrology Laboratory. Normal spermatogenesis results in normal spermiograms under hormonal hypothalamuspituitary- gonadal axis, adecuate regulation and non genital tract obstructions. Fertility achievement depends on the fertility potential of both couple partners, being in man reflected in his spermiogram, which is still the main tool to board reproductive disorders in men [1-3].
Infertility is defined as the failure of conception for at least 12 months of unprotected intercourse [4]. It affects 15% of all couples trying to conceive. Male factor is the sole or contributing cause in roughly one-half of these cases [5]. Spermatogenesis, spermiogenesis and sperm capacitation are the three main axis while thinking in male fertility. Nearly 75% of its etiology may be attributed to testis disarrangements, probably because the natural physiology is yet not completely understood.
Cortisol is the chemical expression of psychosocial stress [6]. Several researches have shown that individuals with fertility problems experience psychosocial problems [7]. The question of whether stress contributes to conception delay is a controversial issue that has received much attention in recent years, in part owing to the fact that despite advances in medicine some cases of infertility remain unexplained [8-10]. What is still unclear is the role that stress, defined as a physiological or phsychological response to a positive or negative external stimulus, may play in reproductive function, in part due to an inability to separate cause and effect. Physiological compensatory linkages have been elucidated between the hypothalamic pituitary adrenal (HPA) axis and the hypothalamic pituitary gonadal axis [11].
Epidemiological studies of infertility in the developed world indicate that semen deficiencies in the male partner are the commonest diagnostic abnormality, with “asthenozoospermia” (percentage of progressive motile spermatozoa below the lower reference limit of 32%), a major cause probably implying different etiologies [12-14]. We have recently published a case report about a paradigmatic stressed patient in who a particular type of sperm deficient movement, asthenozoospermia, was depicted, characterized by high energy but low progressiveness [15].
Vitamin D is a key element, regulating calcium homeostasis. More beyond its original rol in bone metabolism it has been related to immune system, acting as immunosupressor and antitumoral. Vitamin D receptors and 25-alpha hidroxilase and 1-alpha hidroxilasa have also been detected in testis either in gonadal cells and Leydig ones, epididymis, prostate and mature sperm, having a neck localization [16-17]. This arguments support the hypothesis of its rol in reproduction [16].
Both hormones are in close relation to life style and environmental factors. It has been described a negative correlation between cortisol and some chronic diseases like obesity, cardiovascular disease and cancer [18]. On the other hand Vitamin D has been related to immune system acting as immunosupressor and antitumoral [19].
Our aim is to study possible relationship between Vitamin D and cortisol in seminal plasma and its impact on sperm quality.
Materials and Methods
Design
Cross sectional study among patients randomly selected.
Subjects and methods
Ninety-one sperm samples from patients consulting for fertility were analyzed according to WHO standardization and by the employment of a Computer Aided System, thus being classified as normozoospermics (N, n=43) and not normozoospermics (P, n=48). Vitamin D and Cortisol were measured by chemiluminescent methods (Immulite 2000, Siemens, LA, USA and Advia Centaur XP, respectively). In ten men, cortisol was determined in saliva, serum, and seminal plasma and Vitamin D in the two latter ones.
Sperm assays
Conventional sperm assay was performed according WHO criteria- 2010 [12]. A Sperm Class Analyzer CASA system (SCA Microptic SL Barcelona, Spain) was employed to assess kinetic parameters and sperm count. The basic components of the system are: a bright field microscope with phase contrast microscopy to visualize the sample (Nikon E- 200, Japan), a digital camera to capture images (Basler A312 Inc. Vision-Technology. Germany) and a computer with SCA® software installed. Samples were laid on a thermostatic plate at 37 °C. A minimum of 400 spermatozoons per sample were captured and the software analyzed 25 digitized images per second for each sperm. The kinetic assay was conducted in accordance with the standardization and validation of the instrument, using a Leja chamber 10 (10 microns in height, there was always a qualified operator who validated each analyzed image) [20]. Data from individual motile spermatozoa (Sp), defined by 8 kinematic parameters (curvilinear velocity [VCL], straight-line velocity [VSL], average path velocity [VAP], linearity [LIN], straightness [STR], mean amplitude of lateral head displacement [ALH], wobble [WOB] a measure of oscillation of the actual path about the average path and beat cross frequency [BCF]), were assessed and ratios were then calculated relating the different speeds (LIN = VSL/VCL; SRT = VSL/ VAP, WOB=VAP/VCL).
Statistics
Results are expressed as mean±standard deviation (SD) or median (range), according to the data distribution. Correlations between variables were calculated using Pearson (parametric distribution data) or Spearman test (non-parametric distribution data). P values of <0.05 were considered significant.
Ethics
The present study was conducted according to the guidelines laid down in the Declaration of Helsinki and was approved by the Institutional Review Board of The Clinical Hospital “José de San Martin”; all the participants received information on the project and gave written informed consent to be included.
Results
Cortisol in seminal plasmas from normospermic and pathological samples were 1.48±0.56 and 1.85±0.79 ug/dl and for Vitamin D 27.5±10.3 and 28.52±7.74 ng/ml and (mean±SD; p=0.020 and NS respectively) (Table 1). While analyzing the total population, a negative correlation was found between cortisol and Progressive Motility (%) (r=-0.241, p=0.03) and sperm count (r=-0.395, p<0.001), being positive for lateral amplitude head displacement (r=0.258, p=0.022). Vitamin D did not correlate with any of the studied parameters. In the pathological group, an inverse correlation was found between cortisol in seminal plasma and semen volume (r=-0.218, p=0.040) and positive one with the beat crossed frequency (r=0.318, p=0.04), while Vitamin D in seminal plasma correlated with Total Motility/ ejaculate (r=0.350, p=0.025) (Table 2). Cortisol in seminal plasma represents approximately 10% of the serum concentration, with a higher concentration of Vitamin D in seminal plasma than in serum. A significant correlation was found between serum cortisol, seminal plasma and saliva C (r=0.90, p<0.001 and r=0.81, p=0.04, respectively. C in SP correlated with C in saliva (r=0.934, p=0.001) (Table 3). There was no correlation of the VD in serum and SP.
N(n:43) (mean±SD)
P(n:48) (mean±SD)
p
Cortisol (µg/dL)
1.48±0.56
1.85±0.79
0.02
Vitamin D (ng/mL)
27.5±10.3
28.52±7.74
NS
Table 1: Seminal plasma data on cortisol and Vitamin D in the studied population.
N + P (n:91)
P (n:48)
Cortisol
Cortisol
Vitamin D
Seminal volume (mL)
NS
r=-0.218, p=0.040
NS
Total sperm count (106/ejaculate)
r=-0.395, p<0.001
NS
NS
Sperm motility (%)
r=-0.241, p=0.03
NS
NS
Total motility (%)
NS
NS
r=0.350, p=0.025
ALH (μm)
r=0.258, p=0.022
NS
NS
BCF (Hz)
NS
r=0.318, p=0.04
NS
Table 2: Correlation of cortisol and Vitamin D with seminal parameters.
Saliva
Seminal plasma
Serum
r=0.81, p=0.04
r=0.90, p<0.001
Saliva
r=0.934, p=0.001
Table 3: Relation of serum, saliva and seminal plasma cortisol.
Discussion
A new tool has been introduced in the Andrology Laboratory, the computer-assisted sperm analysis (CASA) systems. CASA systems have through advances in devices to capture the image from a microscope, huge increases in computational power concurrently with amazing reduction in size of computers, new computer languages, and updated/expanded software algorithms. It allows assessing the motility of individual spermatozoa, generating huge datasets. When carefully validated, CASA system provides important information for quality control and for the understanding of the diversity of sperm responses to changes in the microenvironment. The challenge is now focused in finding consistent biological meanings for this information, which allows an objective assessment of sperm kinetic that in our opinion is underused due to a lack of documented work to support its clinical value [20]. We standardized and validated a CASA system, SCA (Sperm Class Analyzer) for the parameters of sperm concentration and motility according to international standards, establishing that the proposed method meets the requirements for its use in the clinic [21]. We proved its use to evaluate patient´s individual response to sperm motility improvement methods [22- 23], nutraceutical supplementation [24], and varicocelectomy [25].
While considering male natural fertility, sperm motility plays a crucial role. Asthenozoospermia is the nomenclature related to a semen quality where the percentage of progressively motile spermatozoa is below the lower reference limit (32%) (WHO-2010). The Computer Assisted Sperm Analysis allows to better characterizing the different patterns of movements globally named asthenozoospermia.
Chronic stress has been associated with decreased semen quality but the mechanisms have not been elucidated. It is not known whether cortisol, the major stress hormone in humans, can act directly via receptors in the testis. On the other hand, experimental studies support a beneficial effect of Vitamin D on male fertility, by modulating hormone production through genomic and non-genomic actions, and, particularly, by improving semen quality essentially through non-genomic actions.
The expression of the Vitamin D receptor (VDR) and its metabolizing enzymes 25-alpha-hydroxylase (CYP2R1 or CYP27A1), l-alpha-hydroxylase (CYP27B1) and 24 alpha -hydroxylase (CYP24A1) are present in the germ cells at spermatogenesis and persist in mature spermatozoa during their transit through the ejaculatory duct [26].
This findings support its probable rol in spermatogenesis and sperm maturation. VDR forms a heterodimer with the retinoid receptor (RXR) binding Vitamin D response elements (VDRE), thus regulating several transcription genes involved in mitosis, differentiation and apoptosis [27]. The partial nuclear expression of VDR in spermatogonia suggest a genomic action. VD can also induce a rapid non-genomic action, which is mediated by membrane or cytoplasmic VDR acting through second messengers [28-30]. The cellular response to VD does not only depend on the expression of VDR but also depends on the presence of activation of VD and inactivating enzymes.
It is important to note that spermatogonia expresses VDR, CYP27B1 and CYP24A1 but not CYP2R1 or CYP27A1 while spermatid and mature sperm being behind the blood-testicular barrier express them all. Spermatogonia is in better contact to blood and in this way has an easier access to the circulating 25 (OH) D3 [31].
In addition to its role in cell cycle control, VD may trigger in a genomic way VD-dependent calcium transporters (TRPV5, TRPV6), calcium pump (PMCA), calbindin and calmodulin synthesis, all of them of great importance to assure sperm function [32-33].
The kidney and the ejaculatory tract have a common embryological origin, both of them derived from mesoderm. The isoosmotic reuptake of estrogen-dependent water and electrolytes in rete testis resembles the iso-osmotic (non-estrogen-dependent) reabsorption that takes place in the proximal tubules of the kidney [34].
Vitamin D in the ejaculatory tract may be involved in calcium transport as it is in the kidney and intestine [35]. This hypothesis is supported by the high content of calcium found in epididymal fluid, seminal vesicles and prostate. VDR and metabolizing enzymes are also expressed in the luminal vesicles of the epididymal caput/corpus they are excreted in the lumen of the ejaculatory tract therefore. Production of Vit D by the epidydims may explain the higher values found by our group in seminal plasma in regard to serum. The direct correlation between total motility and Vit D in the pathological samples may be thought as a compensatory action of the epididymis in cases of altered spermatogenesis. It is well known that ejaculated sperm are genetically silent [36]. It is speculated that in the mature spermatozoon co-express VDR and the metabolizing enzymes in the post-acrosomal/neck and middle part so that the activated Vitmine D can have a non-genomic action on the sperm. It has been shown that VD in small concentrations prolongs the survival of sperm ejaculates, modulating the composition of cholesterol and inducing phosphorylation of selected proteins [37].
According to our data either saliva and seminal plasma cortisol appear to be ultrafiltrates from serum. Cortisol has an inverse correlation with sperm count and total motility. It seems to have a direct effect on spermatogenesis, imprinting a particular type of kinetic, characterized by high energy but low progressiveness. This finding explain the positive correlation found between cortisol and ALH in all the samples and the positive correlation of cortisol and BCF in the pathological group. In this way we are characterizing a particular type of asthenozoospermia, highlighting one probable molecular mechanism involved in the process where a chemical substance, like cortisol produces biophysical changes, namely sperm kinetic. More generally speaking we are giving a new tool to understand how psychosocial stress may affect male fertility.
We conclude that cortisol would inversely affect sperm count and motility, imprinting a particular kinetics, VD acts only in the pathological samples probably due to a non genomic effect. Cortisol in seminal plasma as in saliva would be an ultra-filtrate of serum, while there might be local production of VD. The association found in other pathologies seem not to be resembled in seminal plasma probably due to local production of VD.
Funding
This research was supported by a Clinical Grant from University of Buenos Aires Science and Technology (UBACYT – 009ba).
Author Contributions
Mercedes Norma Pugliese: 1) Substantial contributions to conceptions and design, acquisition of data, analysis and interpretation of data; 2) Drafting the article and revising it critically for important intellectual content; 3) Final approval of the version to be published.
Gonzalez Diego: 1) Analysis and interpretation of data; 2) Drafting the article and revising it critically for important intellectual content; 3) Final approval of the version to be published.
Juan José Jamardo: 1) Acquisition, analysis and interpretation of data; 2) Final approval of the version to be published.
Ariagno Julia Irene: 1) Analysis and interpretation of data; 2) Revising it critically for important intellectual content; 3) final approval of the version to be published.
Repetto Herberto: 1) Acquisition, analysis and interpretation of data; 2) revising it critically for important intellectual content; 3) final approval of the version to be published.
Jacobsen Dario: 1) Acquisition and interpretation of data; 2) revising it critically for important intellectual content; 3) final approval of the version to be published.
Repetto Martin: 1) Acquisition of data, analysis and interpretation of data; 2) Revising it critically for important intellectual content; 3) Final approval of the version to be published.
Gabriela Berg: 1) Substantial contributions to conceptions and design, analysis and interpretation of data; 2) Revising it critically for important intellectual content; 3) Final approval of the version to be published.
Bibiana Fabre: 1) Substantial contributions to conceptions and design, acquisition of data, analysis and interpretation of data; 2) Drafting the article and revising it critically for important intellectual content; 3) Final approval of the version to be published.
Mendeluk Gabriela Ruth: 1) Substantial contributions to conceptions and design, acquisition of data, analysis and interpretation of data; 2) Drafting the article and revising it critically for important intellectual content; 3) Final approval of the version to be published.
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