Abstract
Background
Endocrine disrupting industrial chemicals, such as polychlorinated biphenyls (PCBs), are suspected to adversely affect male reproductive functions.
Objectives
The Faroe Islands community exhibits an unusually wide range of exposures to dietary contaminants, and in this setting we examined the possible association between PCB exposure and semen quality and reproductive hormones in fertile Faroese men.
Methods
Participants in this cross-sectional study include 266 proven fertile men residing in the Faroe Islands. PCB levels and hormone profiles were measured in serum samples taken at the clinical examination that included semen quality parameters.
Results
A significant positive association was seen between serum-PCB and the testosterone/estradiol ratio (p=0.04). In the unadjusted analyses, elevated PCB exposure was associated with increased serum concentrations of SHBG (p=0.01) and FSH (p=0.05). We found no association between the serum PCB concentration and the semen quality variables.
Conclusion
In this population of highly exposed fertile men, the current serum-PCB concentration was associated with higher androgen/estrogen ratio. Further studies are needed to establish the findings and further document PCB-associated hormonal effects, any time windows of increased susceptibility, and the role of PCB in sub-fecundity.
Keywords: Semen quality, reproductive hormones, exposure, PCB, fertile men, Faroe Islands
INTRODUCTION
Semen quality studies of fertile men have been undertaken in several parts of the world (1-4) showing regional differences. For example, a European study of 1082 partners of pregnant women reported the lowest semen quality in Danish men, followed by French and Scottish men, while Finnish men had the best (1). Furthermore, studies of men from the general populations have shown that male sub-fecundity due to impaired semen quality is prevalent throughout Europe (5-10). A Faroese population-based study of 481 men showed low semen quality, around the same levels as Danish men (11). Although these descriptive studies have uncovered a prevalent sub-fecundity problem, the etiology is unclear and may include environmental chemicals. Endocrine disrupting industrial chemicals, such as polychlorinated biphenyls (PCBs), have been identified as a likely contributing factor (12-14). Recent experimental animal studies indicate that semen quality may be adversely affected by exposure during prenatal development as well as early postnatal life and even in adulthood (13-15). Epidemiological support is limited, as the most vulnerable time of exposure is unknown and may have occurred many years prior to the semen sampling (16). However, cross-sectional studies offer some support that increased body burdens of lipophilic pollutants, such as PCBs and the pesticide metabolite dichlorodiphenyldichloroethylene (p,p’-DDE), may be linked to abnormalities of human testicular function (12, 14, 17).
Effects on semen quality may be mediated through interference with reproductive hormones. A subtle adverse effect on testicular function may be compensated by altered reproductive hormone stimulation of the testicles, and thus only reflected by altered levels of reproductive hormones necessary for spermatogenesis. Part of the reason for the apparent disagreement between studies may be that exposure parameters are measured at different time periods. Inclusion of subjects with high exposures and populations with wide exposure ranges is crucial to obtain sufficient statistical power to detect possible impact of pollutant exposures on semen quality. In this regard, the Faroe Islands is highly relevant, as an unusually wide range of pollutant exposures has been documented (18). Increased exposures to PCBs and DDE in this fishing community are mainly due to the consumption of blubber from the pilot whale, which accumulates persistent lipophilic substances present in marine pollution (Bloch et al., 1990). Of note, the use of pesticides and related substances is very limited in the Faroes as there is no formal farming and these substances are only used in limited extend in private households. Our previous study of 438 PCB-exposed adolescents revealed inverse associations with serum concentrations of both luteinizing hormone (LH) and testosterone and a positive association with the sex hormone binding globulin (SHBG), while associations with other hormones, testicular size and Tanner stage were uncertain (19).Of note, no semen samples were collected in that study. We examined the possible association between pollutant exposure and reproductive function parameters, including semen parameters, in a population of fertile Faroese males.
MATERIALS AND METHODS
Study population
During the period January 2007 to September 2008, pregnant Faroese women participated in a project focusing on associations between fertility and environment. The consenting women were asked for permission to contact their male partners. If she agreed the partner received an invitation by mail. For men who consented, an appointment for examination was arranged. All the women delivered a live born child. Participation included delivery of one semen sample, venous blood sampling, a physical examination, and completion of a questionnaire. A total of 376 women who participated in the study agreed to provide name and address of their partners, who were then invited to the semen study, and 282 men volunteered. Within this group, five men were excluded because the pregnancy had been achieved by fertility treatment; eight were non-Faroese, and three men were not able to produce a semen sample. Thus, 266 fertile men were included (71% of all invited). The examination period for the men ranged from February 2009 to February 2010. Known diseases in reproductive organs or previous fertility treatments (not related to the current pregnancy) were recorded, but not considered exclusion criteria.
Physical examination
The men underwent a physical examination performed by one of two examiners. The examination included assessment of body weight and height, the Tanner stage of pubic hair, and any abnormalities of the penis, epididymis or testis including determination of the location of testis in scrotum. Testicular volumes were determined both by palpation using a Prader orchidometer (20).
Questionnaire
A questionnaire was generated in Faroese based on that used in Denmark in a study of partners of pregnant women (1, 21). The questionnaire included information on previous or current diseases, including any known history of fertility potential, time to pregnancy, some lifestyle factors like smoking and drinking habits. Questions on occupational exposure were not a part of the questionnaire, as occupational PCB exposure is not of concern in this population. The fathers filled in the questionnaire before the physical examination and responses were reviewed with the examining physician.
Semen samples
Semen samples were produced by masturbation, in most cases in a room next to the laboratory. However, five men produced the sample by masturbation at home and brought the samples to the laboratory within 30 minutes. The examining physician asked the men about ejaculation abstinence period. The semen sample was analyzed according to the World Health Organization 1999 guidelines (22) modified according results from a study of interobserver variation (23). Semen volume was estimated by weighing the collection tube with the semen sample and subtracting the weight of the empty pre-weighed tube, while assuming that 1 mL semen equals 1 g. For sperm motility assessment, 10 μL of well-mixed semen was placed on a clean glass slide kept at 37 °C and covered with a 22×22 mm coverslip. The preparation was placed on the heated stage of a microscope at 37 °C and immediately examined at 400× magnification. The spermatozoa were classified as progressive motile (WHO class A+B), local motile (WHO class C) or immotile (WHO class D). Sperm concentration was determined using a Bürker-Türk haemocytometer (Paul Marienfeld GmbH & Co. KG, Lauda-Königshofen, Germany). Total sperm count (semen volume × sperm concentration) was calculated. One technician performed all analyses. Morphology slides were made, Papanicolaou stained and finally assessed according to “strict criteria” (24) at the University Department of Growth and Reproduction (Dept. of GR) at the National Hospital (Rigshospitalet, RH) in Denmark by another technician. Technicians had no access to the identity or any other information about the study subjects.
Exposure assessment
On the day of the examination, a venous blood sample was drawn from each participant and centrifuged (3000 g, 10 min). Serum was subsequently separated and kept frozen at − 80 °C until it was analyzed. PCB concentrations in serum samples was determined at the University of Southern Denmark using solid-phase extraction, followed by dual column gas chromatographic analysis with micro-electron capture detection according to a method previously described (25, 26). The mono-ortho substituted congeners PCB 28, PCB 105, PCB 118 and PCB 156 and the di-ortho substituted PCB 52, PCB 101, PCB 153, PCB 138 and PCB 180, as well as other persistent compounds (p,p’-DDE, o,p’-DDT, HCH, β-HCH) were recorded.
Spiked quality control samples were included in each series of samples. The laboratory participates regularly and successfully in the German External Quality Assessment Programme (G-EQUAS) for serum PCB analyses, coordinated by the University of Erlangen-Nüremberg, Germany. The results were adjusted for total serum lipid content and reported as μg per gram lipid. The total lipid content was calculated according to Philips formula (27). The cholesterol and triglyceride content in serum was determined by a kit based routine analysis on a Konelab 20 Clinical Chemistry Analyzer (Thermo Fischer Scientific, Waltham, MA).
The PCB exposure was estimated as the sum of serum concentrations of the major PCB congeners 138, 153 and 180 multiplied by 2 (28). This approximation is used because it avoids problems with congener concentrations below the detection limit, and because previous studies in this population have shown that these three PCB congeners represent close to 50% of the total concentration of PCBs. The median limit of detection was 0.03 μg/L (LOD) for all congeners, which, at a mean lipid concentration of 7.45 g/l, corresponds to 0.004 μg/g lipid. Non-detectable levels of PCB congeners were assumed to equal half the limit of detection, i.e. 0.002 μg/g lipid. In regard to the other persistent compounds analyzed, some were generally not detectable or occurred in very low concentrations and were therefore left out; only p,p’-DDE was present in all serum samples and was therefore included in the statistical analysis.
Reproductive hormone analysis
Reproductive hormone levels were assessed at Dept. of GR, Rigshospitalet. Serum levels of follicle-stimulating hormone (FSH), luteinizing hormone (LH), and sex hormone-binding globulin (SHBG) were determined using a time-resolved immunofluorometric assay (Delfia; Wallac Oy, Turku, Finland). Testosterone (T) and estradiol (E) levels were determined using time-resolved fluoroimmunoassays (Delfia; Wallac Oy). Inhibin B level was determined by means of a specific 2-sided enzyme immunometric assay (Inhibin B Gen II; Beckman Coulter Ltd., High Wycombe, United Kingdom).
Intra- and interassay coefficients of variation for measurements of FSH and luteinizing hormone were 3% and 4.5%, respectively. Coefficients of variation for testosterone and SHBG were <8% and <5% respectively. The intra-assay coefficients of variation for estradiol and inhibin B were <4% and <7%, respectively, and the inter-assay coefficients of variation were <4% and <6%, respectively. The hormones were all measured within same time period and in the same assay batches.
Free testosterone (FT) was calculated on the basis of the measured serum concentrations of total testosterone and SHBG using the method of Vermeulen et al. assuming a fixed albumin concentration of 0.62 mmol/L (29). In addition, the ratios inhibin B/FSH, total T/estradiol, total T/LH, and FT/LH were calculated.
Statistics
The main outcome variables were the semen variables and serum concentrations of reproductive hormones and hormone ratios. The key exposure variable was the concomitant sum of serum concentration of polychlorinated biphenyls (PCBs). We also evaluated the individual PCB congeners. The calculated ∑PCB was initially divided into quartiles or as a continuous logarithmic transformed variable. Logarithmic transformation was used to approach a normal distribution and reduce the relative impact of some very high PCB concentrations. Standard statistics (median, standard deviation (SD), 5th-95th percentiles and frequencies) were used for basic descriptions.
First we evaluated differences in PCB exposures according to characteristics of the men. Between-group differences were tested with non-parametric tests (Mann Whitney or Kruskal-Wallis) and correlations between the PCB congeners tested by Spearman correlation.
Differences in semen variables and reproductive hormone levels between the four PCB quartiles, the lowest compared with the highest quartile, and as continuous variable were then tested by linear regression, first unadjusted and then adjusted for confounders; sperm concentration, volume and total sperm count were adjusted for period of ejaculation abstinence in days, motility was adjusted for duration from ejaculation to assessment while the reproductive hormones were adjusted for body mass index as continuous variable, smoking (yes/no), age and hour of day of blood sampling. All covariates were included in the regression analyses for all hormones except for FSH and LH where the hour of day was not included. Using wet weight PCB concentrations with serum lipids included as a covariate in the model did not materially change the p-values and thus lipid-adjusted exposure values are used throughout.
In the regression analyses, sperm concentration, semen volume and total sperm count were transformed by cubic root to approach normality of the residuals. The percentages of motile spermatozoa were logit-transformed. Percentages of morphologically normal spermatozoa were close to normally distributed and entered the model untransformed. Reproductive hormone levels were transformed by the use of the natural logarithmic.
P-values below 5% (two-tailed) were considered statistically significant. Analyses were performed using PASW GradPack 19.0 (SPSS Inc., Chicago, IL, USA).
RESULTS
A total of 266 men with mean age of 34.8 years participated. Major descriptive parameters for the study population stratified according to serum levels of PCBs are summarized in Table I, comparing all four quartiles and comparing the highest and lowest quartile. This information is based on questionnaire information and the physical examination. Overall, there was no difference in the physical appearance and previous history of health between the men with the highest and the lowest exposure, except for age that was higher in men with the highest PCB exposure and more men that had previously fathered a child in the highest PCB exposure group (Table I). The median ∑PCB was 1.7 μg/g lipid (5th-95th percentile 0.3-7.0). The results of the serum analyses of the PCB congeners, along with the ∑PCB and related substances are shown in supplementary table I. All PCB congeners were highly correlated. Participants and non-participants were similar with respect to age, age of partner, area of residence, education, previous family history of congenital anomalies and previous children with congenital anomalies and time to pregnancy (data not shown).
Table I.
All men | Quartiles | P value | |||||
---|---|---|---|---|---|---|---|
n=266 | First (n=65) | Second (n=67) | Third (n=66) | Fourth (n=66) | Quartiles | High vs. low | |
Exposure ∑PCB (μg/g lipid) | 1.7 (0.3-7.0) | 0.6 (0.2-0.9) | 1.2 (0.9-1.7) | 2.2 (1.8-2.8) | 3.9 (2.9-9.8) | <0.0005* | <0.0005* |
Physical appearance | |||||||
Age (years) | 34.8(24.5-45.1) | 31.2 (24.3-42.8) | 32.7 (21.9-44.7) | 34.8 (28.6-44.9) | 37.5 (28.3-47.1) | <0.0005* | <0.0005* |
Height (cm) | 181 (171-192) | 181 (169-192) | 180 (172-191) | 182 (170-192) | 179 (171-193) | 0.8 | 0.9 |
Weight (kg) | 85.2 (68.0-113.0) | 84.5 (68.4-118.4) | 85.4 (64.2-112.8) | 85.7 (66.6-113.8) | 85.2 (65.6-107.1) | 0.9 | 0.9 |
BMI (kg/m2) | 26.0 (21.2-33.3) | 25.5 (21.5-37.2) | 26.3 (21.1-33.4) | 26.0 (21.3-32.9) | 26.2 (20.1-33.2) | 0.9 | 0.9 |
Testicular size (mL)a | 23(15-28) | 22.5 (15.0-27.6) | 23.5 (15.0-27.4) | 22.5 (15.0-28.0) | 23.5 (17.2-29.3) | 0.8 | 0.6 |
Lifestyle | |||||||
Alcohol per week (units) | 3.0 (0-17.8) | 2.8 (0-19.4) | 3.4 (0-16.7) | 3.0 (0-32.8) | 4.0 (0-22.9) | 0.8 | 0.4 |
Currentsmoker | 40 | 43 | 33 | 39 | 44 | 0.6 | 0.9 |
Mother smoked during pregnancy | 33 | 43 | 30 | 26 | 33 | 0.4 | 0.3 |
Taking medicationb | 20 | 27 | 17 | 17 | 20 | 0.5 | 0.4 |
Been treated forc Cryptorchidismf | 2 | 3 | 2 | 0 | 2 | 0.6 | 0.8 |
Been diagnosed as havingd | |||||||
Cryptorchidism | 8 | 10 | 8 | 6 | 6 | 0.9 | 0.5 |
Hypospadias | 0.4 | 0 | 0 | 0 | 2 | 0.4 | 0.3 |
Sexual transmitted diseaseg | 14 | 14 | 11 | 0.9 | 0.8 | ||
Phimosis | 15 | 18 | 16 | 17 | 11 | 0.7 | 0.3 |
Varicocele | 3 | 2 | 3 | 5 | 3 | 0.8 | 0.6 |
Testicularcancer | 1 | 0 | 2 | 2 | 0 | 0.6 | 1.0 |
Othere | |||||||
Previously fathered a child | 66 | 53 | 66 | 71 | 73 | 0.09 | 0.02* |
Current pregnancy planned | 71 | 73 | 78 | 70 | 69 | 0.6 | 0.4 |
Current TTP | 3.0 (1.0-36.0) | 3.0 (1-46.2) | 3.0 (1.0-36.0) | 3.0 (1.0-63.0) | 2.0 (0.6-36.0) | 0.8 | 0.5 |
Ever had TTP over 6 months | 18 | 13 | 23 | 17 | 20 | 0.5 | 0.3 |
Abbreviation: PCB, polychlorinated biphenyls; ∑PCB= (PCB 138 + PCB 153 + PCB 180)*2; TTP, Time to pregnancy;
significant at 0.05 level
Testes size (palpatoric, mean of both testes)
Taken any medication recent 3 months prior to participation in study
“Have you ever been treated for…?”
“Has a doctor ever diagnosed you as having…?”
Have you ever…?”
Hormonal, surgical or combination
Chlamydia, gonorrhea, warts or herpes
In total, 92% of the men had a mean testicular volume above 15 mL, and testicular size was positively associated with sperm concentration (p=0.01), total sperm count (p=0.003) and borderline associated with motility (p=0.08). Soft testicles in 2.2% of the men were associated with decreased sperm concentration (p=0.03) and motility (p=0.05). A total of 98.5% had both testicles in scrotum, and 98.9 % had adult pubic hair distribution (i.e. Tanner stage 5 or 6). Hydrocele was detected in 4.5%. Varicocele was detected in 4.4% of the men and was associated with lower total sperm count (p=0.04). None of these findings were associated with ∑PCB, except for testicular consistency, where a higher ∑PCB concentration was associated with soft testicles (p=0.03).
The semen variables did not differ according to the ∑PCB as summarized in Table II, even when comparing the highest exposed with the lowest exposed, although there was a tendency for a higher percentage of morphologically normal forms in the high PCB group. This tendency was apparent among all congeners and POPs except for PCB52, PCB156 and PCB180.
Table II.
All men | Quartiles | Unadjusted/adjusted P values | ||||||
---|---|---|---|---|---|---|---|---|
n=266 | First (n=65) | Second (n=67) | Third (n=66) | Fourth (n=66) | Quartiles | High vs. low | Trend | |
Semen volume (mL)a | 4.0(1.7-8.2) | 4.1 (1.6-10.6) | 3.9 (2.0-9.1) | 4.0 (1.6-7.3) | 3.8 (1.6-9.0) | 0.4/0.5 | 0.4/0.3 | 0.4/0.6 |
Sperm concentration (mill/mL)a | 47(8-188) | 41 (8-178) | 47 (7-154) | 50 (8-194) | 48 (9-212) | 0.2/0.4 | 0.3/0.4 | 0.8/0.5 |
Total sperm count (mill)a | 182 (28-710) | 161 (40-176) | 178 (27-639) | 186 (28-870) | 208 (18-786) | 0.3/0.5 | 0.5/0.7 | 0.7/0.5 |
Normal morphology (%) | 7.5 (1.0-16.5) | 7.0 (0.4-17.0) | 6.8 (1.1-15.6) | 7.5 (1.2-16.5) | 8.5 (1.2-16.9) | 0.1 | 0.2 | 0.07 |
Motile sperm (%)b | 71 (48-84) | 71 (45-86) | 71 (49-86) | 70 (44-84) | 72 (53-83) | 0.9/0.8 | 0.7/0.9 | 0.3/0.3 |
Period of abstinence (days) | 4.0 (2.0-4.0) | 4.0 (2.0-4.0) | 4.0 (2.1-4.0) | 4.0 (3.0-4.0) | 3.0 (2.0-4.0) | 0.4 | 0.5 | 0.4 |
Abbreviation: PCB, polychlorinated biphenyls; ∑PCB=(PCB 138 + PCB 153 + PCB 180)*2; h, hour
Adjusted for period of abstinence in days
Adjusted for duration from ejaculation to assessment
In Table III, the serum concentrations of reproductive hormones are summarized. When stratifying according to ∑PCB quartiles in the unadjusted analysis, FSH showed the highest values in the fourth quartile; this difference was supported by the unadjusted high versus low quartile analysis. Inhibin B concentrations did not show significant differences between the four quartiles, although lower values were observed in the fourth quartile when compared with the first quartile. Concordantly, inhibin B/FSH levels tended to be lower in the fourth quartile compared with the first quartile. Unadjusted analyses showed a significant positive association between ∑PCB and SHBG in all analyses.
Table III.
All group | Quartiles | Unadjusted/adjusted p valuesa | ||||||
---|---|---|---|---|---|---|---|---|
n=266 | First (n=65) | Second (n=67) | Third (n=66) | Fourth (n=66) | Quartiles | High vs. Low | Trend | |
FSH (IU/L) | 3.3 (1.3-7.9) | 3.0 (1.1-6.8) | 3.3 (1.6-8.0) | 3.1 (1.1-7.2) | 3.9 (1.3-8.2) | 0.06/0.49 | 0.05*/0.08 | 0.11/0.35 |
Inhibin B (pg/mL) | 213 (116-354) | 219 (111-380) | 212 (116-350) | 214 (125-319) | 210 (106-384) | 0.14/0.6 | 0.5/0.73 | 0.32/0.31 |
Inhibin B/FSH | 62 (17.8-251.5) | 66.8 (22.3-257.4) | 60.2 (14.1-240.3) | 70.4 (18.8-262.6) | 52.0 (15.0-276.3) | 0.05*/ 0.43 | 0.09/0.17 | 0.11/0.22 |
LH (IU/L) | 3.8 (1.7-7.3) | 3.9 (1.8-7.4) | 3.8 (1.1-7.4) | 3.6 (1.7-7.5) | 3.8 (1.8-7.6) | 0.51/0.39 | 0.43/0.34 | 0.57/0.31 |
Testosterone (nmol/L) | 18 (10-31) | 18 (11-30) | 17 (10-34) | 18 (9-29) | 19 (10-32) | 0.19/0.35 | 0.43/0.22 | 0.34/0.22 |
Free Testosterone (pmol/L) | 333 (175-527) | 365 (171-553) | 332 (189-577) | 318 (171-507) | 344 (180-556) | 0.62/0.97 | 0.31/0.63 | 0.26/0.69 |
Estradiol (nmol/L) | 76 (50-116) | 82 (51-119) | 73 (51-122) | 78 (48-117) | 76 (48-115) | 0.85/0.22 | 0.28/0.32 | 0.8/0.51 |
SHBG (nmol/L) | 39 (18-70) | 38 (16-66) | 35 (17-65) | 38 (18-71) | 43 (25-85) | 0.01*/0.11 | 0.02*/0.16 | 0.01*/0.15 |
Testosterone/LH | 4.6 (2.0-10.9) | 5.0 (2.2-10.6) | 4.2 (1.8-14.3) | 4.7 (1.8-11.1) | 4.7 (2.1-9.9) | 0.77/0.99 | 0.90/0.86 | 0.9/0.98 |
Free testosteron/LH | 90 (37-189) | 93 (44-172) | 91 (35-268) | 87 (36-188) | 88 (39-185) | 0.37/0.5 | 0.18/0.71 | 0.23/0.59 |
Testosterone/estradiol | 228 (137-386) | 218 (125-395) | 223 (115-284) | 216 (138-372) | 250 (140-392) | 0.22/0.04* | 0.11/0.04* | 0.22/0.05* |
Free Testosterone/estradiol | 4.4 (2.7-6.5) | 4.5 (2.8-6.6) | 4.5 (2.4-6.7) | 4.1 (2.8-6.6) | 4.6 (2.6-6.5) | 0.49/0.25 | 0.92/0.15 | 0.35/0.28 |
Time of blood sampling | 10:00 (8:30-13:30) | 10:00 (8:30-13:52) | 9:30 (8:30-13:17) | 10:00 (9:00-13.54) | 10:00 (8:40-13:30) | 0.2 | 0.5 | 0.003 |
Abbreviation: PCB, polychlorinated biphenyls; ∑PCB=(PCB 138 + PCB 153 + PCB 180)*2; FSH, follicle-stimulating hormone; LH, luteinizing hormone; SHBG, sex hormone-binding globulin
Adjusted for age at examination, BMI in groups, current smoking and time of sampling. LH and FSH not for time of sampling
significant at 0.05 level
In the adjusted analysis, the association between the ∑PCB and the reproductive hormones was most pronounced for testosterone/estradiol ratio where a significant positive association was seen with PCB levels, both when comparing the quartiles, highest versus lowest quartile and trend. For the other hormones and ratios, all associations were non-significant and diminished when adjusted for confounders. However, the associations between ∑PCB concentrations and FSH, Inhibin B, inhibin B/FSH ratio and SHBG had the same tendency after confounder adjustment but became somewhat weaker.
All congeners and POPs were tested separately, but the associations were similar to those reported above (data not shown) and thus results are shown only for ∑PCB. Among the major congeners, PCB180 and PCB156 showed higher regression coefficients for positive association with FSH, SHBG and testosterone/estradiol ratio and negative with the inhibin B/FSH ratio.
DISCUSSION
This is the first study of semen quality and reproductive hormones among fertile men with high PCB exposure. PCB exposure was significantly positively associated with testosterone/estradiol ratio, a finding not reported earlier to our knowledge. This might be a chance finding, which would be supported by the fact that we did not see any association between calculated free testosterone/estradiol ratio and PCB exposures. However, one animal study with female mice showed significantly elevated testosterone/estradiol ratio after exposure to several halogenated organic compounds, though not after PCB153 exposure (30), suggesting an inhibition on the aromatase activity (a CYP19 enzyme) that controls the androgen/estrogen ratio (31).
A positive, borderline significant association was found between high PCB and SHBG among the Faroese fertile men. This finding should be interpreted with caution but is consistent with a study among Faroese 14-years old boys where increased SHBG levels were observed at higher PCB exposure (19) and with most studies of lower exposures (32-35); the median PCB153 levels ranging from from 42 ng/g lipid in US males (36) and 46 ng/g lipid in southern Norway (32) to highest levels in Swedish fishermen (190 ng/g lipid) (34) as compared to a median of 300 ng/g lipid in the fertile Faroese men.
The serum-SHBG concentrations in the Faroese fertile men were higher than among Danish fertile men as was the median LH and estradiol concentrations, which could contribute to the increase in SHBG. Furthermore, both the total testosterone and calculated free-testosterone tended to be lower (37). Thus, the endocrine profile of the average Faroese male indicates a reduced Leydig cell capacity. Due to our study design we cannot document causations. However, experimental in vivo studies have shown that exposure to PCBs disrupts Leydig cellular function in adult rats (38-40), and exposing lactating rats to Aroclor 1242 caused significant adverse effects on Leydig cell function, reducing the capacity to produce testosterone in response to LH stimulation in adult male offspring (41). Furthermore, SHBG is produced by the liver, and PCBs are known to affect a variety of liver functions (42) and it could be speculated that PCB-induced hepatic SHBG synthesis could play a possible role, although this possibility remains to be substantiated. Thus, it is plausible that PCB hepatotoxicity may contribute to the increased serum-SHBG concentrations. Of note, unadjusted results may not represent causal associations (due to confounding by the adjustment factors) but as similar tendencies are observed in two groups of randomly selected young Faroese men (unpublished results) the observed associations are deemed reliable.
No association was found between serum PCB concentration and the semen quality parameters. Still, the fertile Faroese men tended to have low semen quality, even when compared with Danes, which also was seen among young unselected Faroese men (11). This effect could be due to the fact that di-ortho substituted biphenyls (e.g. PCB138, PCB153 and PCB180) possess the ability to interfere with sexual hormone regulated processes (43). In addition, the men were fertile and therefore have proven fertility thus maybe less susceptible to the adverse effects of PCB.
None of the other POPs examined in the present study (e.g., DDE) had any detectable effect on reproductive hormones in spite of the fact that they are lipophilic substances that co-migrate with PCBs and may have anti-androgen effects (44). However, apart from DDE, serum concentrations of these POPs are not as highly elevated among the Faroese population as are the PCBs.
An association between previous paternity and high PCBs exposure was observed but the explanation might be that men in highest PCB group were older and thus more likely to have fathered children.
The study had many advantages, one being carrying out the study in a very homogeneous, quite big group of fertile men and another being the analysis of many PCB congeners, both mono-ortho and di-ortho substituted congeners. Many previous studies have only used PCB153 as exposure marker (32-35). None of the associations we observed for ∑PCB were present for PCB-153 alone and would therefore have been missed had we focused only on this congener. As the POPs migrate together and are as reflections of a mixed PCB exposure that had varied over time, epidemiological studies are unable to distinguish between actions of single congeners and other related contaminants. In an observational study, exposures are not a matter of design, and the interrelationships between multiple congeners often prevent conclusions whether one congener is of greater importance than other. Thus in our opinion is that the sum of major PCB congener concentrations better reflects the overall PCB mixture exposure, as the three congeners did not involve problems with the detection limit. One of the limitations in this study is that we did not analyze for co-planar dioxin-like PCB and thus do not have full information on the dioxin-like activity on the hormones. However, a previous study showed that dioxin exposure in the Faroes is not higher than northern European levels (28). In addition, our study was cross-sectional and reverse causation cannot be excluded, however PCBs have long half-lives and it is therefore unlikely. The participation rate is quite high compared with other population studies of semen quality and selection bias could be suspected with higher participation of men who had experienced fertility problems or had a long time to pregnancy. However, all men had become fathers before recruitment, and no significant differences were found between participating and non-participating fathers, thus indicating limited influence of selection bias.
CONCLUSIONS
In this population of highly exposed fertile men, the current serum-PCB concentration was associated with higher androgen/estrogen ratio. The clinical relevance of this finding is unknown and needs to be verified in other studies. Further do the results indicate that the current serum-PCB concentration adversely affects the hepatic SHBG production. Prospective epidemiological studies are needed to further document PCB-associated effects, any time windows of increased susceptibility, and the role of PCB in sub-fecundity.
Supplementary Material
Highlights.
Cross-sectional study including 266 proven fertile men residing in the Faroe Islands.
Assessing the effect of persistent pollutants on semen parameters and reproductive hormones.
A significant positive association was found between serum-PCB and the testosterone/estradiol ratio.
No association was found between the serum PCB concentration and the semen quality variables.
Acknowledgments
The authors would like to thank all the participating fathers. Further we want to thank Kaj Kallsberg, MD, for performing some of the physical examinations and the laboratory technicians Lindu Kannuberg and Annu Louisu Jacobsen for performing the semen analyses. Also, thanks to nurse Nanna Kallsberg for her hard work in recruiting the fathers.
Funding
This study was supported by the National Institute of Environmental Health Sciences, NIH (ES014460) and the European Commission through its Sixth Framework Programme for RTD (contract no. FOOD-CT-2006-016253, PHIME). The authors are solely responsible for all results and conclusions, which do not necessarily reflect the position of any of the funding agencies.
Footnotes
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Financial interests declaration:
The authors have no conflicts to declare.
The Ethical Review Committee of the Faroe Islands approved the study, and informed consent was obtained from each participating father.
Author’s roles
Design of the study: PW, TKJ, NJ, PG. Execution of study: PW. Execution of exposure analyses: FN. Data preparation: MSP. Statistical analysis: MSP. Interpretation of data: NJ, MSP, PG. First draft: MSP. Manuscript review, discussion and final approval: all.
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