This review focuses on the human data generated to date on the relationship between exposures to environmental EDCs and men's health.
The still existing inconsistency of the human data and the exclusive focus on REM sleep deprivation in animals so far do not allow us to draw firm conclusions as to whether the hyperalgesic effects are due to the deprivation of specific sleep stages or whether they result from a generalized disruption of sleep continuity.
We focused on the human genome; therefore, this local gene order test was performed for the human data vs. cow, dog, chimp, rhesus, mouse and rat genomes.
Several insightful reviews about the mechanisms of ribosomopathies have been published recently (Armistead and Triggs-Raine, 2014; Ellis, 2014; Golomb et al., 2014; James et al., 2014; Ruggero and Shimamura, 2014) with a focus on human data.
We applied these tools to environmental samples, with a particular focus on the human gut microbiome, because these data are amongst the most abundant and cleanest (and therefore most convenient) publicly available, and because establishing the gut microbiome composition is one of the major challenges of the 21st century.
Although we focus on the human health risk assessment implications of recent data rather than comprehensively reviewing the topic area, our analyses also encompass some prior studies reviewed more extensively elsewhere (Ashby et al. 1994; Klaunig et al. 2003; Melnick 2001).
To this end we focused on human data sets and used data published by Chabardes-Garonne et al [26], Higgins et al. [27], Cuellar et al [28], and Nyström et al. [29].
The main contributions of this study reside in its focus on the human-centered process of knowledge-driven, curiosity-inspired, and data-enabled scientific discoveries.
