Heavy metals are endocrine disruptors which interfere with processes mediated by endogenous hormones of the organism, negatively affecting endocrine functions. Some studies have correlated heavy metal exposure with male infertility. However, the number of studies conducted on humans are limited. Therefore, the aim of this study is to summarize the current knowledge on how heavy metals influence human male fertility. Hence, three distinct databases were consulted—PubMed, Scopus and Web of Science—using single keywords and combinations of them. The total number of identified articles was 636. Nevertheless, by using the inclusion and exclusion criteria, 144 articles were finally included in this work. Results display that the development of adequate instruments for heavy metal assessment may play an important function in human male fertility diagnosis and treatment. Furthermore, clinical trials could be useful to confirm the role of heavy metals in human male fertility diagnosis. Overall, further research is required to fully understand the molecular and cellular basis of the influence of environmental and occupational exposure to heavy metals on human male infertility and reproductive outcomes.

Fertility rates have dramatically decreased in the last two decades, especially in men. It has been described that environmental factors as well as life habits may affect semen quality. In this paper we use artificial intelligence techniques in order to predict semen characteristics resulting from environmental factors, life habits, and health status, with these techniques constituting a possible decision support system that can help in the study of male fertility potential. A total of 123 young, healthy volunteers provided a semen sample that was analyzed according to the World Health Organization 2010 criteria. They also were asked to complete a validated questionnaire about life habits and health status. Sperm concentration and percentage of motile sperm were related to sociodemographic data, environmental factors, health status, and life habits in order to determine the predictive accuracy of a multilayer perceptron network, a type of artificial neural network. In conclusion, we have developed an artificial neural network that can predict the results of the semen analysis based on the data collected by the questionnaire. The semen parameter that is best predicted using this methodology is the sperm concentration. Although the accuracy for motility is slightly lower than that for concentration, it is possible to predict it with a significant degree of accuracy. This methodology can be a useful tool in early diagnosis of patients with seminal disorders or in the selection of candidates to become semen donors.

BACKGROUND: The goals of the present work were to study the embryotoxic effects of peritoneal fluid (PF) in women with or without endometriosis, and to relate any embryotoxicity to the severity of endometriosis, infertility or achievement of pregnancy, cytokine concentrations and lymphocyte populations. METHODS: Sixty-six consecutive women of reproductive age, 54 with endometriosis (21 infertile) and 12 infertile without endometriosis, and another 12 fertile women as control group, were included in this study. They all underwent laparoscopy or laparotomy in the second half of the cycle, and PF was collected from the pouch of Douglas. The embryotoxicity of the PF was assessed by means of a mouse embryo assay, and expressed as the number of embryos that did not reach blastocyst stage. Cytokines and lymphocyte populations present in PF were also studied and correlated with embryotoxicity. RESULTS: PF embryotoxicity was increased in women with endometriosis, but there was little correlation with the severity of the disease. However, although a clear relationship to the presence of infertility was not found, embryotoxicity appeared to be lower in those infertile patients with endometriosis who later became pregnant. We found a significant increase in embryotoxicity in the presence of high cytokine concentrations, especially with interleukin-6, and less so with interleukin-8 (P < 0.05). No good correlation was observed with lymphocyte populations, but CD56 (NK) cells were significantly increased in the PF of women with endometriosis. In general, the correlations for embryotoxicity were better when PF was diluted at 20% (91.4 ± 17 versus 68.1 ± 31, P < 0.01). CONCLUSIONS: These results suggest that alteration in the production of cytokines in the PF, especially IL-6, besides contributing to the endometriosis and its evolution, probably increases embryoxicity. However, no correlation was found between the latter and associated infertility.

Catalase (CAT) stands out as one of the most efficient natural enzymes when catalysing the split of H₂O₂ into H₂O and O₂; H₂O₂ is one of the reactive oxygen species (ROS) involved in oxidative stress, a process closely related to aging and several health disorders or diseases like male infertility. Some studies have correlated H₂O₂ with male infertility and catalase with fertility restoration. However, the number of studies conducted with human beings remains scarce. Considering the use of CAT as a molecular target for biochemical analysis, this review summarises the current knowledge on how CAT influences human beings’ male fertility. Thus, three different databases were consulted—Scopus, PubMed and WOS—using single keywords and combinations thereof. A total of 40,823 articles were identified. Adopting inclusion and exclusion criteria, a final database of 197 articles served to conduct this work. It follows from this analysis that CAT could play an important role in male fertility and could become a good target for male infertility diagnosis and monitoring. However, that potential role of CAT as a tool in diagnosis must be confirmed by clinical trials. Finally, guidelines are suggested to reinforce the use of CAT in daily clinical tests for male fertility diagnosis and monitoring.