Heavy Metal Pollution and Male Fertility: An Overview on Adverse Biological Effects and Socio-Economic Implications.

Trace metals can be divided into two subgroups considering their pathophysiological effects: the first consists of microelements essential for life (arsenic, cobalt, chromium, copper, fluorine, iron, iodine, manganese, molybdenum, nickel, selenium, silicon, tin, vanadium and zinc), implicated in important metabolic processes; the second includes toxic microelements, such as cadmium (Cd), mercury (Hg), chromium (Cr), and lead (Pb) for living organisms, even at low concentrations. These metals contribute to serious consequences for human health, including male infertility. Studies performed in several in vitro and in vivo models revealed that environmental exposure to toxic pollutants, as heavy metals, negatively affects human male fertility. Stem cells, due to their ability to self-renew and differentiate in several cell types, have been proposed as a useful tool in assisted reproductive technology, permitting the spermatogenesis recovery in patients with irreversible infertility. Considering the effects of heavy metals on male fertility and, from a demographic point of view, the decreased fertility ratio, further strategies are required to maintain a sustainable turn-over of 2 children for woman. We discuss here the findings on the biological effects of heavy metal pollution in the male fertility and underline the related socioeconomic impact on population demography.

Modeling for the Stringency of Lock-Down Policies: Effects of Macroeconomic and Healthcare Variables in Response to the COVID-19 Pandemic.

Background: The spread of COVID-19 has been characterized by unprecedented global lock-downs. Although, the extent of containment policies cannot be explained only through epidemic data. Previous studies already focused on the relationship between the economy and healthcare, focusing on the impact of diseases in countries with a precarious economic situation. However, the pandemic caused by SARS-CoV-2 drew most countries of the world into a precarious economic situation mostly caused by the global and local lock-downs policies. Methods: A discriminant analysis performed via partial least squares procedure was applied to evaluate the impact of economic and healthcare variables on the containment measures adopted by 39 countries. To collect the input variables (macroeconomic, healthcare, and medical services), we relied on official databases of international organizations, such as The World Bank and WHO. Results: The stringency lock-down policies could not only be influenced by the epidemical data, but also by previous features of the selected countries, such as economic and healthcare conditions. Conclusions: Indeed, economic and healthcare variables also contributed to shaping the implemented lock-down policies.