Skip to main content
Molecular Medicine Reports logoLink to Molecular Medicine Reports
. 2017 Mar 27;15(5):3398–3404. doi: 10.3892/mmr.2017.6396

B(a)P adduct levels and fertility: A cross-sectional study in a Sicilian population

Gea Oliveri Conti 1, Aldo Eugenio Calogero 2,, Filippo Giacone 2, Maria Fiore 1, Martina Barchitta 3, Antonella Agodi 3, Margherita Ferrante 1
PMCID: PMC5428921  PMID: 28350051

Abstract

Benzo(a)pyrene (BaP) is a carcinogenic polycyclic aromatic hydrocarbon for human tissues. Still today it is not fully investigated if BaP can affect negatively the male fertility through the BaP-DNA adducts production. In the present study, BaP Tetrol I-1 (TI-1) and BaP Tetrol II-2 (TII-2) BaP-DNA adducts were investigated in spermatozoa of a Sicilian male population. Semen samples from 86 volunteers in two eastern Sicilian cities (Regalbuto and Melilli) were collected. The quality of semen was evaluated in all samples according to the World Health Organization (WHO) guidelines. We analyzed BaP-DNA adducts in extracted sperm cell DNA using the modified high-performance liquid chromatography-fluorescence method to detects both Tetrols. Differences between Tetrol levels were assessed by the Wilcoxon signed-rank test and the Mann-Whitney U test, as appropriate. Correlation between semen quality parameters and Tetrol concentrations were analyzed using the Spearman's correlation coefficient. Σ(TI-1+TII-2) were significantly higher in spermatozoa of volunteers from Regalbuto. Furthermore, a greater dispersion of the levels of adducts was observed in these specimens. TI-1 adducts were higher than TII-2 in Melilli samples (95% CI) and TII-2 were higher than TI-1 in Regalbuto semen samples (95% CI). A significant inverse correlation between sperm progressive motility and both TI-1 and TII-2 adducts was observed. The present study showed that BaP negatively affects male fertility by TI-1 and TII-2 DNA-adduct production. These results suggest that DNA adducts could be used as biomarker to assess BaP exposure by air pollution. Further studies are needed to confirm if these findings could affect male fertility because of the growing impairment of this function observed in recent years.

Keywords: benzo(a)pyrene, male fertility, risk, sperm, toxicology, high-performance liquid chromatography, DNA, Italy, public health, andrology

Introduction

Polycyclic aromatic hydrocarbons (PAHs) are considered a dangerous pollutant for human health due to their carcinogenic and mutagenic activity. PAHs are generated by the incomplete combustion of fossil fuels, tobacco smoke and grilled or broiled foods (13). Benzo(a)pyrene (BaP) is the most widely investigated PAH as a marker for the carcinogenic risk of PAHs in ambient air. BaP has been classified as carcinogenic to humans (4) and it can generate reactive oxygen species that may result in cell apoptosis (5,6) and/or generalized inflammations in several tissues (710). Both BaP and its metabolites are known for their capacity of producing BP diol-epoxide-DNA adducts (BPDE). It is generally agreed that (±)-anti-BaPDE is the metabolite that forms the major adducts with DNA in vivo (11). BPDE adducts can interfere or alter DNA replication (12). Biomarkers are required to develop novel therapeutics and risk-assessment methodologies. In fact, BPDE adducts reflect individual variation of exposure, absorption, metabolic activation and DNA repair, also, there is no dose of exposure below which BPDE adducts are not produced. Therefore, they represent valuable environmental risk biomarkers (13). In particular, several authors have measured the anti-BPDE hydrolyzed DNA adducts or Tetrol I-1 (r-7,c-10t-8,t-9-tetrahydroxy-7,8,9,10-tetrahydrobenzo(a)pyrene) and syn-BPDE hydrolyzed DNA adducts or Tetrol II-2 (8r-7,t-9,t-10,t-8-tetrahydroxy-7,8,9,10-tetrahydrobenzo(a)pyrene) (11). Several studies report a correlation between BPDE adducts and various diseases, such as cancer (14) and behavioral outcomes in children (15,16), whereas very few studies report altered fertility in male adults (17,18). At present, male fertility represents a relevant worldwide issue. There are no exhaustive data for global prevalence of male infertility but, according to World Health Organization (WHO), nearly 60–80 million couples worldwide currently suffer from infertility (19). It varies across regions of the world and it is estimated to affect 8–12% of couples on average. According to a WHO's multicentric study, in 20% of cases the couple's infertility was attributed to male infertility, 38% to female infertility, 27% due to infertility of both partners, and 15% could not be attributed to either partner (20). Moreover, often no detectable cause can be associated to a male infertility by measuring the conventional parameters on sperm analysis. This is defined as unexplained or idiopathic infertility (20).

Few studies have investigated the association between BPDE adducts in DNA of human spermatozoa and male fertility (12,17,18). Only two articles are available to date about the association between BPDE adduct numbers measured by immunofluorescence technique in sperm-extracted DNA and fertility, but these studies were carried out only in infertile men (17,18). The immunofluorescence, immunostaining, COMET assay and 23P-postlabelling techniques are all used for BPDE adducts tests, but these techniques are not able to measure a single Tetrol or only BaP-adducts, thus providing a total generic PAH-DNA adduct concentration.

Therefore, the aim of the present study was to verify this hypothesis measuring the Tetrol I-1 and Tetrol II-2 in population's semen of eastern Sicily (Italy) by high-performance liquid chromatography-fluorescence (HPLC-FL) method. The present study is the first carried out on general population and that reported both Tetrol I-1 and Tetrol II-2 individually in human sperm.

Materials and methods

Sampling

Semen of 86 volunteers from Eastern Sicilian cities (from Regalbuto, a small town in a rural agricultural and Melilli a small town in an industrial district) (Fig. 1) was collected at Division of Andrology, University of Catania. Semen samples were collected after 3–5 days of abstinence and analyzed according to the WHO criteria (21). The volunteers joined the study by signing the informed consent and by filling out a semi-structured questionnaire. The questionnaire elicited anthropometric information, demographic, lifetime residential history (location of birth and duration of residence), history of active and passive smoking (including number of household members who smoke), date of smoking cessation, occupational exposure, medication information, and consumption of PAH-containing meat (frequency of eating fried, broiled, or barbecued meat, mineral or drink water during the last 2 weeks). Socioeconomic information related to income, education, hobbies and sports preferred was also collected.

Figure 1.

Figure 1.

Map of the sampling locations.

Semen quality assessment

Sperm parameters (volume, sperm concentration, total sperm counts, progressive motility, and normal forms) were evaluated in all samples according to the WHO criteria (21).

DNA adducts analysis

We analyzed hydrolyzed BPDE adducts or Tetrol I-1 and Tetrol II-2 in extracted sperm cell DNA using the modified HPLC-FL method according to Alexandrov et al (22) modified. Briefly, the semen samples were collected at the Laboratory of the Division of Andrology and aliquoted, for semen quality parameter assessment and for molecular analysis. DNA was extracted using the DNA IQ system (Promega Corp., Madison, WI, USA) according to the manufacturer's instructions. Then, the DNA was subjected to a procedure of hydrolysis and purification.

Reagent

HPLC-grade water was produced in-house using a Milli-Q® system (Merck KGaA, Darmstadt, Germany). Methanol, ethyl acetate, ethanol, and acetonitrile, all LiChrosolv® hypergrade, were purchased from Sigma-Aldrich (Saint Louis, MO, USA).

Hydrochloric acid (HCl) hypergrade and NaOH were purchased from Merck KGaA (Darmstadt, Germany).

Purification of acid

The HCl, also if hypergrade, contains fluorescent impurities. One of which in particular, having the same retention time, interferes with Tetrol I-1, hence influencing the concentration of this hydrolyzed BaP-adduct. To eliminate this preparative bias all fluorescent impurities were deleted from HCl (0.4 N) heating this for 4 h at 90°C and successively extracted three times with ethyl acetate.

Analytical procedures

A specialized laboratory was dedicated to the biochemical analysis as the detection of Tetrols is difficult. To avoid the fluorescent impurities contaminating samples, the vials, tips, tubes, syringes and capillaries for HPLC mobile phases and any other equipment used were washed with methanol hypergrade.

The extracted and purified DNA was dissolved in 1 ml of water and analyzed in a Perkin Elmer Series 200 HPLC (Perkin-Elmer, Milano, Italy).

Preparation of samples was carried out through the following steps: i) hydrolysis of purified DNA diluted with purified HCl (0.4 N) and then neutralized with NaOH (1 N) to pH 7-7.5; ii) the sample was then diluted (20%) with methanol; iii) subsequently it was purified using Sep-Pak C18 (Waters Corp., Milford, MA, USA) cartridges SPE-equilibrated with 20% methanol drop by drop with a flow rate of 2.0 ml/min for 10 min; iv) Tetrols I-1 and II-2 were eluted with 1 ml of methanol (55%). v) Samples were evaporated to dryness with a gentle stream of nitrogen and reconstituted with 100 µl of methanol and of these, 30 µl were injected into HPLC column.

Chromatographic settings and materials

Automated analysis was performed using an integrated system of Perkin Elmer coupled to Series 200 quaternary pump, peltier column, autosampler, UV detector, fluorescence detector and a degasser apparatus, all Series 200 (Perkin-Elmer). Chromatographic analysis was carried out in a Tosoh (C18 RP 25×0.46 cm, 5 µm) eluted with a elution program of 15 min with 20% water/acetonitrile of equilibrium phase, followed by 5 min with 20% water/acetonitrile and 60 min to acetonitrile (100%) with a curve of 1 and finally other 10 min to 100% acetonitrile a flow rate of 0.85 ml/min. The excitation wavelength was set at 344 nm and the fluorescence emission wavelength at 388 nm. The sensitivity of the detector was fixed to high modality. The wavelength of UV detector was set at 238 nm for the double detection of both Tetrols. The chromatographic system was calibrated using Tetrol I-1 and Tetrol II-2 certified pure standards of NCl (Chemical Carcinogen Reference Standard Repository, Kansas City, MO, USA). Tetrol I-1 and Tetrol II-2 (purity 99.0%; both from Sigma Aldrich) were used as external standards (Fig. 2). Recovery was 93% and 81% for Tetrol I-1 and Tetrol II-2, respectively (Fig. 3). Processing of reagent blank disclosed no trace of Tetrol I-1 and Tetrol II-2. Linearities (R2) of calibrated chromatographic system were 0.9980 and 0.9854 for fluorescence and UV detectors, respectively for Tetrol I-1. For Tetrol II-2, the linearities were 0.9950 and 0.9943 for fluorescence and UV detectors, respectively. MDL were 2.0 and 3.1 pg/ml for Tetrol I-1 and Tetrol II-2, respectively. The HPLC software used for area integrations and linearity computing was TotalChrome (version 2010; Agilent Technologies, Santa Clara, CA, USA).

Figure 2.

Figure 2.

UV and fluorescence chromatograms of Tetrol standards.

Figure 3.

Figure 3.

Fluorescence chromatogram of a spiked sample.

Statistical analysis

Statistical analysis was performed using SPSS version 21.0 (IBM SPSS, Armonk, NY, USA). P<0.05 was considered to be statistically significant.

Descriptive analyses were performed using interquartile interval, min, max and 95% confidence intervals (95% CI) for quantitative variables.

The differences between Tetrol levels were assessed by the Wilcoxon signed-rank test and the Mann-Whitney U test, as appropriate. Correlation analysis between sperm quality parameters and Tetrol levels was performed by Spearman's correlation coefficient (ρ).

Results

The numbers of Tetrol adducts (n. adducts/108 nucleotides) detected in sperm samples are reported in Tables I and II.

Table I.

Distribution of conventional sperm parameters.

Variables Min 25th Median 75th Max
Sperm concentration (millions/ml) 0.0 32.5 76.0 113.5 250.0
Total sperm count (millions/ejaculate) 0.0 95.6 204.0 350.0 825.0
Progressive motility (%) 1.0 24.0 33.0 42.0 62.0
Normal forms (%) 8.0 13.0 16.0 20.0 33.0

Table II.

Distribution of Tetrol I-1 and Tetrol II-2 (n. Adduct/108 nucleotides).

Variables Min 25th Median 75th Max
Tetrol I-1 0,00100 0,00240 0,00540 0,05226 103,58500
Tetrol II-2 0,00200 0,00731 0,01712 0,17862   52,67400

Tetrol I-1 and Tetrol II-2 stratifications by residence (IC 95%) are shown in Figs. 4 and 5. Table III shows the correlations between sperm parameters, age, cigarette/day and adducts Tetrol I-1 and Tetrol II-2. A significant inverse correlation between sperm progressive motility and both TI-1 and TII-2 was observed (Table III).

Figure 4.

Figure 4.

Tetrol I-1 confidence interval (IC 95%) by area of residence.

Figure 5.

Figure 5.

Tetrol II-2 confidence interval (IC 95%) by area of residence.

Table III.

Correlation between conventional parameters and Tetrols.

Tetrol I-1 Tetrol II-2 Sperm concentration Progressive motility MNP c Normal forms Total count Age Cigarette/day
Tetrol I-1 R 1.000
P .
N 86
Tetrol II-2 R 0.869b 1.000
P 0.000 .
N 86 86
Sperm concentration R 0.077 0.022 1.000
P 0.480 0.840 .
N 86 86 86
Progressive motility R −0.264a −0.222a 0.052 1.000
P 0.014 0.040 0.502 .
N 86 86 86 86
MNP c R 0.234a 0.279b 0.025 −0.606b 1.000
P 0.030 0.009 0.750 0.000 .
N 86 86 86 86 86
Normal forms R 0.137 0.201 0.123   0.161a −0.015 1.000
P 0.209 0.063 0.109 0.035 0.848 .
N 86 86 86 86 86 86
Total count R 0.061 0.042   0.820b 0.143 −0.013 0.228b 1.000
P 0.579 0.702 0.000 0.063 0.866 0.003 .
N 86 86 86 86 86 86 86
Age R −0.152 −0.225a −0.006 0.041 −0.060 0.021 0.056 1.000
P 0.165 0.038 0.941 0.595 0.440 0.786 0.465 .
N 85 85 86 86 86 86 86 86
Cigarette/day R 0.101 0.191 0.015 0.028 0.126 0.253a 0.143 0.358b 1.000
P 0.575 0.286 0.903 0.823 0.312 0.040 0.248 0.002 .
N 40 40 40 40 40 40 40 40 40
a

Correlation is significant at the 0.05 level (two-tailed).

b

Correlation is significant at the 0.01 level (two-tailed). R, Spearman's rank correlation; P, P-value; N, number of men.

Discussion

Male infertility is an alarming global health issue that has not been studied to truly understand its magnitude and prevalence. PAHs are a class of organic compounds produced by incomplete combustion or high-pressure processes (23,24) that can affect human health. The present study investigated the hypothesis of an association between BPDE-DNA adducts in human sperms and fertility. The results of the present study showed that Σ(Tetrol I-1+Tetrol II-2) were significantly higher in the volunteers' semen from Regalbuto (a rural area) than in those of men living in an industrial area. Moreover, we found that Tetrol I-1 was higher than Tetrol II-2 in samples from Regalbuto, whereas Tetrol II-2 was higher than Tetrol I-1 in Melilli samples. Furthermore, a greater dispersion of adduct levels was observed in these specimens (Figs. 4 and 5). A significant inverse correlation was found between sperm progressive motility and the two Tetrols (Table III). Furthermore, no correlation was found between smoking and BPDE-DNA adducts. In fact, the non-smokers (46 subjects) showed median value of Tetrols higher than smokers (40 subjects) (Tetrol I-1: 0.00540 vs. 0.00375; Tetrol II-2: 0.01618 vs. 0.01605).

The present study showed that BaP negatively affects sperm parameters by BPDE-DNA adducts production. Few studies (12,17,18) have found that increased levels of DNA adducts in humans are associated with sperm motility and impaired male fertility, but up to now there are inconsistencies in the evidence for a link with smoking (17,2527) except for the lung tissue. In fact, the relationship between smoking-related DNA adducts must be considered on a tissue-by-tissue basis (25). In a similar Italian study, Gaspari et al (17) showed that PAH-DNA adducts, measured as sum by immunofluorescence analysis, were negatively correlated with the percentage of spermatozoa with normal morphology and neck morphological abnormalities, whereas a positive correlation was found with head abnormalities. Furthermore, these authors reported a significantly association between occupational exposure to PAH and PAH-DNA adducts in spermatozoa and none significantly association between smoking and sperm PAH-DNA adducts. Lastly, a higher number of PAH-DNA adducts was found in infertile patients vs. fertile men. A weak association between tobacco consumption and BPDE-DNA adducts (measured with immunofluorescence technique) in spermatozoa of professional exposed infertile men was reported (18). However, several authors reported that BaP-DNA adducts were associated significantly with environmental BaP exposure and in particular to air BaP pollution (1,28).

The presence of a major adducts dispersion and concentration in men from Regalbuto is a very original and interesting finding. No data are available about male population fertility or environment pollution of Regalbuto until today. Our hypothesis is that the residents of this town are exposed to air pollution due to archaic agricultural practices such as the controlled fires of fields (fires are high natural BaP source of emission in atmosphere). This is a usual practice in this geographical area and no control or monitoring is applied to verify the pollution produced. This hypothesis is supported by some available data on the topic (29).

In contrast, the residents of Melilli are also exposed to air pollution but, being a city with an industrial pole devoted to oil refining and energy and chemical production, this is a very controlled area through a network of fixed stations for the control of atmospheric pollution. This continued monitoring allows an appropriate management of the production cycle to prevent the increasing air pollution.

No data are available today on the relationship between smoked foods consume and BaP-DNA adducts in spermatozoa but, for other tissue, Tang et al (13) reported that dietary PAHs do not significantly contribute to adducts number (13). No data are available on the different number of Tetrol I-1 and Tetrol II-2, for this reason the present study added very original data to the scientific literature. Indeed, the higher number of Tetrol II-2 compared to Tetrol I-1 can be explained through some molecular mechanisms, such as a higher susceptibility of one chain of DNA vs. genotoxic effects of BaP or, inefficiency of some enzymes for DNA repair (3032). In particular, there is available evidence about the XRCC1 polymorphisms that may modify sperm PAH-DNA adduct levels (32). Thus, this highly sensitive and specific procedure is suitable for measuring BPDE-DNA adducts in human spermatozoa from environmentally exposed subjects and it could be adapted to measure PAH effects in genital organs.

Despite the considerable interest raised regarding the air pollution for the multiple adverse effects reported on human health from inflammation to cancer, its impact on fertility remains still unclear (33,34). A significant impact of air pollution on miscarriage and clinical pregnancy rates in the general population was reported. Furthermore, some air contaminants seem to negatively impact on fertility outcomes, including miscarriage and live birth rates, in subfertile patients (33,34).

In conclusion, the present study, for first time, investigated the hypothesis of an association between BaP-DNA adducts and human male infertility. The results seem to indicate that this hypothesis may be real and very interesting data were found including a new molecular strategy to study male infertility. Because spermatozoa are not the target cells for BaP exposure, the relationship between PAH-DNA adducts and these germinal cells remain to be determined.

References

  • 1.Guerreiro CBB, Horálek J, de Leeuw F, Couvidat F. Benzo(a)pyrene in Europe: Ambient air concentrations, population exposure and health effects. Environ Pollut. 2016;214:657–667. doi: 10.1016/j.envpol.2016.04.081. [DOI] [PubMed] [Google Scholar]
  • 2.Sciacca S, Conti Oliveri G. Mutagens and carcinogens in drinking water. Med J Nutrition Metab. 2009;2:157–162. doi: 10.1007/s12349-009-0052-5. [DOI] [Google Scholar]
  • 3.Conte F, Copat C, Longo S, Conti G, Grasso A, Arena G, Dimartino A, Brundo MV, Ferrante M. Polycyclic aromatic hydrocarbons in Haliotis tuberculata (Linnaeus, 1758) (Mollusca, Gastropoda): Considerations on food safety and source investigation. Food Chem Toxicol. 2016;94:57–63. doi: 10.1016/j.fct.2016.05.016. [DOI] [PubMed] [Google Scholar]
  • 4.IARC Monographs. 100F. International Agency for Research on Cancer; Lyon: 2012. International Agency for Research on Cancer (IARC): Chemical Agents and Related Occupations. [Google Scholar]
  • 5.Liou GY, Storz P. Reactive oxygen species in cancer. Free Radic Res. 2010;44:479–496. doi: 10.3109/10715761003667554. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Ferecatu I, Borot MC, Bossard C, Leroux M, Boggetto N, Marano F, Baeza-Squiban A, Andreau K. Polycyclic aromatic hydrocarbon components contribute to the mitochondria-antiapoptotic effect of fine particulate matter on human bronchial epithelial cells via the aryl hydrocarbon receptor. Part Fibre Toxicol. 2010;21:18. doi: 10.1186/1743-8977-7-18. (7) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Signorelli SS, Anzaldi M, Libra M, Navolanic PM, Malaponte G, Mangano K, Quattrocchi C, Di Marco R, Fiore V, Neri S. Plasma levels of inflammatory biomarkers in peripheral arterial disease: Results of a cohort study. Angiology. 2016;67:870–874. doi: 10.1177/0003319716633339. [DOI] [PubMed] [Google Scholar]
  • 8.Yang L, Liu G, Lin Z, Wang Y, He H, Liu T, Kamp DW. Pro-inflammatory response and oxidative stress induced by specific components in ambient particulate matter in human bronchial epithelial cells. Environ Toxicol. 2016;31:923–936. doi: 10.1002/tox.22102. [DOI] [PubMed] [Google Scholar]
  • 9.Signorelli SS, Fatuzzo P, Rapisarda F, Neri S, Ferrante M, Conti Oliveri G, Fallico R, Di Pino L, Pennisi G, Celotta G, et al. A randomised, controlled clinical trial evaluating changes in therapeutic efficacy and oxidative parameters after treatment with propionyl L-carnitine in patients with peripheral arterial disease requiring haemodialysis. Drugs Aging. 2006;23:263–270. doi: 10.2165/00002512-200623030-00008. [DOI] [PubMed] [Google Scholar]
  • 10.Signorelli SS, Fatuzzo P, Rapisarda F, Neri S, Ferrante M, Conti Oliveri G, Fallico R, Di Pino L, Pennisi G, Celotta G, et al. Propionyl-L-carnitine therapy: Effects on endothelin-1 and homocysteine levels in patients with peripheral arterial disease and end-stage renal disease. Kidney Blood Press Res. 2006;29:100–107. doi: 10.1159/000094363. [DOI] [PubMed] [Google Scholar]
  • 11.Alexandrov K, Sala M, Rojas M. Differences in the DNA adducts formed in cultured rabbit and rat dermal fibroblasts by benzo(a)pyrene and (−)benzo(a)pyrene-7,8-diol. Cancer Res. 1988;48:7132–7139. [PubMed] [Google Scholar]
  • 12.https://archive.epa.gov/region5/teach/web/html/index.html. U.S. Environmental Protection Agency (EPA): Toxicity and Exposure Assessment for Children's Health (TEACH) 2017 Jan 10; Accessed. [Google Scholar]
  • 13.Tang D, Li T, Liu JJ, Chen J, Qu L, Perera F. PAH-DNA adducts in cord blood and fetal and child development in a Chinese cohort. Environ Health Perspect. 2006;114:1297–1300. doi: 10.1289/ehp.8939. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.U.S. Environmental Protection Agency. Washington, DC: 2017. United States Environmental Protection Agency (U.S. EPA): IRIS Toxicological Review of Benzo[a]pyrene (Final Report) EPA/635/R-17/003F. [Google Scholar]
  • 15.Perera FP, Chang HW, Tang D, Roen EL, Herbstman J, Margolis A, Huang TJ, Miller RL, Wang S, Rauh V. Early-life exposure to polycyclic aromatic hydrocarbons and ADHD behavior problems. PLoS One. 2014;5:e111670. doi: 10.1371/journal.pone.0111670. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Perera FP, Tang D, Wang S, Vishnevetsky J, Zhang B, Diaz D, Camann D, Rauh V. Prenatal polycyclic aromatic hydrocarbon (PAH) exposure and child behavior at age 6–7 years. Environ Health Perspect. 2012;120:921–926. doi: 10.1289/ehp.1104315. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Gaspari L, Chang SS, Santella RM, Garte S, Pedotti P, Taioli E. Polycyclic aromatic hydrocarbon-DNA adducts in human sperm as a marker of DNA damage and infertility. Mutat Res. 2003;535:155–160. doi: 10.1016/S1383-5718(02)00297-8. [DOI] [PubMed] [Google Scholar]
  • 18.Zenzes MT, Bielecki R, Reed TE. Detection of benzo(a)pyrene diol epoxide-DNA adducts in sperm of men exposed to cigarette smoke. Fertil Steril. 1999;72:330–335. doi: 10.1016/S0015-0282(99)00230-7. [DOI] [PubMed] [Google Scholar]
  • 19.Rutstein SO, Shah IH. ORC Macro and the World Health Organization. Calverton, MD: 2004. Infecundity, infertility, and childlessness in developing countries. DHS Comparative Reports No 9. [Google Scholar]
  • 20.Kumar N, Singh AK. Trends of male factor infertility, an important cause of infertility: A review of literature. J Hum Reprod Sci. 2015;8:191–196. doi: 10.4103/0974-1208.170370. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.World Health Organization (WHO): WHO Laboratory Manual for the Examination and Processing of Human Semen. 5th. WHO Press; Geneva: 2010. pp. 1–271. [Google Scholar]
  • 22.Alexandrov K, Rojas M, Geneste O, Castegnaro M, Camus AM, Petruzzelli S, Giuntini C, Bartsch H. An improved fluorometric assay for dosimetry of benzo(a)pyrene diol-epoxide-DNA adducts in smokers' lung: Comparisons with total bulky adducts and aryl hydrocarbon hydroxylase activity. Cancer Res. 1992;52:6248–6253. [PubMed] [Google Scholar]
  • 23.Hayakawa K. Environmental behaviors and toxicities of polycyclic aromatic hydrocarbons and nitropolycyclic aromatic hydrocarbons. Chem Pharm Bull (Tokyo) 2016;64:83–94. doi: 10.1248/cpb.c15-00801. [DOI] [PubMed] [Google Scholar]
  • 24.Conti GO, Copat C, Ledda C, Fiore M, Fallico R, Sciacca S, Ferrante M. Evaluation of heavy metals and polycyclic aromatic hydrocarbons (PAHs) in Mullus barbatus from Sicily channel and risk-based consumption limits. Bull Environ Contam Toxicol. 2012;88:946–950. doi: 10.1007/s00128-012-0611-1. [DOI] [PubMed] [Google Scholar]
  • 25.Phillips DH, Venitt S. DNA and protein adducts in human tissues resulting from exposure to tobacco smoke. Int J Cancer. 2012;131:2733–2753. doi: 10.1002/ijc.27827. [DOI] [PubMed] [Google Scholar]
  • 26.Gilberson T, Peluso ME, Munia A, Luján-Barroso L, Sánchez MJ, Navarro C, Amiano P, Barricarte A, Quirós JR, Molina-Montes E, et al. Aromatic adducts and lung cancer risk in the European Prospective Investigation into Cancer and Nutrition (EPIC) Spanish cohort. Carcinogenesis. 2014;35:2047–2054. doi: 10.1093/carcin/bgu098. [DOI] [PubMed] [Google Scholar]
  • 27.Palli D, Saieva C, Munnia A, Peluso M, Grechi D, Zanna I, Caini S, Decarli A, Sera F, Masala G. DNA adducts and PM(10) exposure in traffic-exposed workers and urban residents from the EPIC-Florence City study. Sci Total Environ. 2008;403:105–112. doi: 10.1016/j.scitotenv.2008.05.041. [DOI] [PubMed] [Google Scholar]
  • 28.Jayachandran S. Air quality and early-life mortality: Evidence from Indonesia's wildfires. J Hum Resour. 2009;44:916–954. doi: 10.3368/jhr.44.4.916. [DOI] [Google Scholar]
  • 29.Conti Oliveri G, Heibati B, Kloog I, Fiore M, Ferrante M. A review of AirQ Models and their applications for forecasting the air pollution health outcomes. Environ Sci Pollut Res Int. 2017 Jan 4; doi: 10.1007/s11356-016-8180-1. (Epub ahead of print) [DOI] [PubMed] [Google Scholar]
  • 30.Miri M, Derakhshan Z, Allahabadi A, Ahmadi E, Conti Oliveri G, Ferrante M, Aval HE. Mortality and morbidity due to exposure to outdoor air pollution in Mashhad metropolis, Iran. The AirQ model approach. Environ Res. 2016;151:451–457. doi: 10.1016/j.envres.2016.07.039. [DOI] [PubMed] [Google Scholar]
  • 31.Ghozikali Ghanbari M, Heibati B, Naddafi K, Kloog I, Conti Oliveri G, Polosa R, Ferrante M. Evaluation of Chronic Obstructive Pulmonary Disease (COPD) attributed to atmospheric O3, NO2, and SO2 using Air Q Model (2011–2012 year) Environ Res. 2016;144:99–105. doi: 10.1016/j.envres.2015.10.030. [DOI] [PubMed] [Google Scholar]
  • 32.Wang Y, Kloog I, Coull BA, Kosheleva A, Zanobetti A, Schwartz JD. Estimating causal effects of long-term PM2.5 exposure on mortality in New Jersey. Environ Health Perspect. 2016;124:1182–1188. doi: 10.1289/ehp.1409671. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Nieuwenhuijsen MJ, Basagaña X, Dadvand P, Martinez D, Cirach M, Beelen R, Jacquemin B. Air pollution and human fertility rates. Environ Int. 2014;70:9–14. doi: 10.1016/j.envint.2014.05.005. [DOI] [PubMed] [Google Scholar]
  • 34.Frutos V, González-Comadrán M, Solà I, Jacquemin B, Carreras R, Checa Vizcaíno MA. Impact of air pollution on fertility: A systematic review. Gynecol Endocrinol. 2015;31:7–13. doi: 10.3109/09513590.2014.958992. [DOI] [PubMed] [Google Scholar]

Articles from Molecular Medicine Reports are provided here courtesy of Spandidos Publications

RESOURCES