Sec. Microbial Symbioses
Volume 11 - 2020 | https://doi.org/10.3389/fmicb.2020.578007
Endobolome, a New Concept for Determining the Influence of Microbiota Disrupting Chemicals (MDC) in Relation to Specific Endocrine Pathogenesis
- 1Department of Microbiology, Faculty of Pharmacy, University of Granada, Granada, Spain
- 2Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- 3Department of Nutrition and Food Science, Faculty of Pharmacy, University of Granada, Granada, Spain
Endogenous steroid hormones and Endocrine Disrupting Chemicals (EDC) interact with gut microbiota through different pathways. We suggest the use of the term “endobolome” when referring to the group of gut microbiota genes and pathways involved in the metabolism of steroid hormones and EDC. States of dysbiosis and reduced diversity of the gut microbiota may impact and modify the endobolome resulting at long-term in the development of certain pathophysiological conditions. The endobolome might play a central role in the gut microbiota as seen by the amount of potentially endobolome-mediated diseases and thereby it can be considered an useful diagnostic tool and therapeutic target for future functional research strategies that envisage the use of next generation of probiotics. In addition, we propose that EDC and other xenobiotics that alter the gut microbial composition and its metabolic capacities should be categorized into a subgroup termed “microbiota disrupting chemicals” (MDC). This will help to distinguish the role of contaminants from other microbiota natural modifiers such as those contained or released from diet, environment, physical activity and stress. These MDC might have the ability to promote specific changes in the microbiota that can ultimately result in common intestinal and chronic or long-term systemic diseases in the host. The risk of developing certain disorders associated with gut microbiota changes should be established by determining both the effects of the MDC on gut microbiota and the impact of microbiota changes on chemicals metabolism and host susceptibility. In any case, further animal controlled experiments, clinical trials and large epidemiological studies are required in order to establish the concatenated impact of the MDC-microbiota-host health axis.
The effects of the bidirectional between steroid hormones and gut microbiota on the development of diseases have been recently reported (Kwa et al., 2016; Bajer et al., 2017). Hormones can have an impact on the composition and metabolism of the microbiota. In turn, the gut microbiome is highly involved in hormone homeostasis through a number of possible mechanisms. The concept “microgenderome” refers to the role of sex differences in gut microbiota in relation to the incidence and comorbidity of certain diseases (Mulak et al., 2014). An interesting example of gut microbiome/hormones interactions is the role of sex in type 1 diabetes found in a non-obese diabetic mouse model that revealed that exposure of female mice to androgens protected them from the disease (Fox, 1992; Markle et al., 2013), which suggests the role played by sex-specific interactions in disease development. The way this modulation affects hormone metabolism, physiology, and pathophysiology is still unclear. The gut microbiome can also modify hormone levels in the host by participating in hormone biotransformation. A key triad of sex hormones, host genotypic and phenotypic responses, and gut microbiome has been proposed (Rosenfeld, 2017).
Previous research works have dealt with the effects of diet, exercise and antibiotic use on host gut microbiome (Munyaka et al., 2014; Murphy et al., 2015; Xu and Knight, 2015; Zhang and Yang, 2016; Singh et al., 2017), but the effects of exposure to exogenous chemicals on the microbiota have been poorly investigated (Hu et al., 2016). Among these environmental contaminants, the Endocrine Disrupting Chemicals (EDC) have been recently defined by the Endocrine Society as: “an exogenous [non-natural] chemical, or mixture of chemicals, that interferes with any aspect of hormone action” (Zoeller et al., 2016). This interference with the endocrine system may result in biological, physical and metabolic disturbances in humans. EDC can bioaccumulate up the food chain and in the environment and that have been detected in humans worldwide. These chemicals include dioxins, pesticides, pyrethroids, polychlorinated biphenyls (PCBs), flame retardants and, antibacterial such as triclosan (García-Mayor et al., 2012; Darbre, 2017; Galvez-Ontiveros et al., 2020), plant derived compounds found such as phytoestrogens and plasticizers such as phthalates and bisphenol A (BPA). Exposure to EDC might result in marked disturbances in the gut microbiome, which in turn lead to widespread disruptions in several host systems and damage of the commensal bacteria in the host gut (Rosenfeld, 2017). However, the association between misbalanced microbiota diversity or dysbiosis and possible biological mechanisms responsible for the development of certain diseases in different environmental exposure settings remains largely unknown (Hu et al., 2016).
The term “estrobolome” was previously used to describe the gut microbiota genes involved in the synthesis of estrogen-metabolizing enzymes (Plottel and Blaser, 2011). We now suggest the use of the term “endobolome” when referring to the group of gut microbiota genes and pathways involved not only in the synthesis of estrogens, but also in the metabolism of other steroid hormones and endocrine disruptor chemicals. States of dysbiosis and reduced diversity of the gut microbiota may impact and modify the endobolome resulting at long-term in the development of certain pathophysiological conditions. The reduction in the diversity of microbial communities’ composition and inflammation could decrease the enzymatic activity which, sequentially, decreases the metabolization of hormones and EDC into their modified, active or inactive and circulating metabolites. This reduced availability of circulating hormones and EDC results in changes in hormone receptor activation, which may lead to the development of disorders related to demonstrated hormone deficiencies such as obesity, metabolic syndrome, and cardiovascular and related cognitive dysfunctions. Conversely, endobolome can also stimulate the production of gut microbial enzymes which leads to an increase in circulating hormones which, in turn, increase the risk of diseases related with high serum levels of hormones such as sex-hormone driven cancers.
The relevance of the crosstalk between EDC, hormones and gut microbiota warrants a review of the current information available on the interactions of these chemical disruptors with sex steroid hormones and gut microbiota as well on the role played by these interactions in the development of hormone-related diseases.
Natural Hormone-Gut Microbiome Axis
Sex-related differences in gut microbome have been found in human and mice experimental models. These differences show a greater alpha diversity in the gut microbiome of women (Falony et al., 2016), and lower abundance of Clostridia, Methanobrevibacter, and Desulfovibrio in men (Falony et al., 2016). As in humans, a larger alpha diversity was found in female mice and a higher relative abundance of Bacteroidetes in males (Yurkovetskiy et al., 2013; Kozik et al., 2017).
There is evidence supporting the idea that sex-dependent differences in gut microbiome composition are related to sex steroid hormones (Table 1). In this respect, some studies have shown that gut microbiome in women differs from that of men after puberty and that gonadectomy results in disturbances in the microbiome or dysbiosis. For instance, during infancy there were no differences in the microbiota between fraternal twins of the same or different sex. Moreover, in different- or same-sex fraternal twins no differences in gut microbiota were found during childhood, but after puberty significant structural differences in gut microbiome were found in different-sex fraternal twins in comparison with same-sex twins (Yatsunenko et al., 2012). Similar sex-dependent changes were observed in rodent models after puberty (Markle et al., 2013; Yurkovetskiy et al., 2013) and after gonadectomy with a reduction in alpha diversity in ovariectomized mice and rats (Moreno-Indias et al., 2016; Choi et al., 2017). Ovariectomized mice showed decreased Bacteroidetes and increased Firmicutes versus controls (Choi et al., 2017). In male mice reduced Bacteroidetes and Ruminococcaceae were observed after gonadectomy compared to controls (Harada et al., 2016; Org et al., 2016). Future investigations should examine acute versus long-term effects of gonadectomy (with or without hormone replacement) in rodents and in other species of mammals.
Microbiota, environmental and pathogenic bacteria have the capacity to metabolize steroid hormones and their related metabolites (Garcia-Gomez et al., 2013). Adlercreutz et al. (1984) showed that disturbances in the gut microbiota secondary to antibiotic therapy resulted in an increase in fecal estrogens in women, which suggests the involvement of microbiota in estrogen levels. Lombardi et al. (1978) demonstrated that fecal microbiota may metabolize parent estrogens and their metabolites. Fuhrman et al. (2014) demonstrated that high estrogen metabolites/parent estrogens ratios related to increased microbiota diversity in healthy postmenopausal women. In a mouse model, Markle et al. (2013) showed that early-life changes in gut microbiome result in increased testosterone and metabolic changes that can suppress autoimmune diseases in genetically high-risk animals while preserving fertility.
Gut microbiota can affect circulating levels of hormone metabolites by deconjugation of the conjugated forms secreted in bile and they can be subsequently reabsorbed through the mucosal wall. Fuhrman et al. (2014) showed that estriol, a hydroxylated estradiol metabolite, enters the enterohepatic circulation, and that urinary and fecal levels of estriol and parent estrogens are altered after antibiotic administration. They also suggest that gut microbiota may differentially affect total hormone levels as the association between total hormone and microbiota diversity, which seemed to be stronger for metabolites than for parent hormones. Lastly, they found higher gut microbiota diversity in women with higher levels of hydroxylated estrogen metabolites.
Shin et al. (2019) conducted a study in 31 men and 26 women and reported that sex steroid hormone levels are correlated with gut microbial diversity and composition. In men, they observed that testosterone levels were associated with increased Acinetobacter, Dorea, Ruminococcus, and Megamonas. In women, high estrogen levels were associated with increased Bacteroidetes and decreased Firmicutes phyla. Lastly, a strong association was found between Slackia and Butyricimonas and estradiol levels.
The essential role played by gut bacteria in hormone metabolism was described decades ago (Janssen and Kersten, 2015). Gut colonization by bacteria in germ-free mice resulted in the regularization of the estrous cycle in females and increased sperm counts in males, which in turn led to the repair of fertility and reproductive capacities (Shimizu et al., 1998). In a cross-sectional study conducted by Fuhrman et al. (2014) that included 60 healthy postmenopausal women, the authors examined the relationship between the composition and diversity of microbiome, assessed trough 16S rRNA gene sequencing, with measurements of urinary levels of estrogens and their metabolites. Authors found a significant correlation between microbiota diversity and the estrogen metabolites/parent estrogens ratio in urine. Moreover, this ratio increased with increased microbial phylogenetic diversity. These findings support the hypothesis that differences in estrogen levels and their metabolism significantly correlate with alterations in gut microbial diversity.
All these studies compiled above revealed significant evidence of hormonal regulation of the microbe-controlling mechanisms, supporting sex differences in microbiota, in addition to sex-specific responses to the same microbiota. The relationship between microbiota, hormones and metabolism seems multi-directional. Collectively, these studies indicate that upcoming investigations into the composition and function of the microbiota must carry on dividing data for sex-differential interactions to understand these complex connections more entirely.
The determination of the endobolome experimental parameters may serve as potential biomarkers of certain diseases (Figure 1). For example, the determination of β-glucuronidases may help in the identification of some specific bacterial species and, as mentioned above, this enzyme might potentially increase the intestinal reabsorption of endogenous hormones and EDC. Microbial β-glucuronidases will process endogenous molecules like β-glucuronides of hormones and exogenous β-glucuronides from the diet by enabling these compounds to bind to hormone receptors and subsequently produce their physiological effects (Baker et al., 2017). Phytoestrogens also exert their activity via mechanisms involving hormonal receptors. As mentioned above, increased estrogen metabolites correlate with increased microbiota diversity versus parent hormones in fecal samples (Fuhrman et al., 2014). Additionally, a higher parent hormones/hormone metabolites ratio correlates with an increased risk of breast cancer (Samavat and Kurzer, 2015), obesity and other metabolic diseases (Chen and Madak-Erdogan, 2016).
Figure 1. Endobolome: multiproxy approach to determine the influence of microbiota disrupting chemicals (MDC) in relation to specific endocrine pathogenesis.
Interestingly, androgens also play a central role in sexual physiology, and disturbances in their action are associated with the development of different conditions in both men and women. Collden et al. (2019) demonstrated that glucuronidases produced by the cecal microbiota can degrade the high content of testosterone and dihydrotestosterone found in the small intestine. The high content of free or unconjugated dihydrotestosterone found in the colon of healthy young mice of both sexes and men suggests that gut microbiota might be involved in the metabolism of intestinal androgens and can therefore affect the risk of androgen-related diseases in the distal intestine and probably also in remote anatomical sites.
Identification of the bacterial genes in the gut microbiota that encode enzymes responsible for the biotransformation of endogenous steroids could explain potential interactions between gut microbiome, host and the development of certain diseases. In vitro studies have shown the capacity of gut microbiota to the biotransformation of steroids. In this respect, Ervin et al. (2019) conducted the first in vitro study to determine the capacity of 35 β-glucuronidases of human gut to reactivate estrone-3-glucuronide and estradiol-17-glucuronide to their parent compounds. This supports the idea that the estrobolome is a complex series of processes that occur in the gastrointestinal tract of mammals and the probably involves different enzymes, including distinct types of β-glucuronidases. Ridlon et al. (2013) showed that Clostridium scindens may transform primary bile acids to toxic secondary acids, and remove the two-carbon side chain of glucocorticoids transforming them into androgens. Doden et al. (2019) demonstrated that 20 β-hydroxysteroid dehydrogenase from Bifidobacterium adolescentis can reduce host glucocorticoids and thereby serve as potential probiotics for the management of androgen-related conditions.
Another possible mechanism of interaction between EDC, endogenous sex steroid hormones and gut microbiota is that dysbiosis caused by EDC and hormone imbalance levels may increase the permeability of the intestinal mucosa barrier in the host. This would allow pathogens, LPS, toxins and metabolites to enter the circulatory system thereby promoting chronic low-grade systemic inflammation in the host, even targeting organs like the brain (Fuhrman et al., 2014; Pickard et al., 2017).
Another potential mechanism involves the capacity of gut microbiota to metabolize EDC and host hormones to produce novel hormone receptor ligands (Schug et al., 2011). Additionally, the microbiota may be modified in order to generate lower-affinity hormones with endocrine functions but with a reduced risk of developing hormone-responsive diseases like breast cancer (Chen K. L. A. et al., 2018). It has been showed in a mouse model that the status of hormone receptors such as estrogen receptor β may alter microbiota composition and this microbiota behaves differently to changes from diet complexity, promoting Proteobacteria enrichment (Mulak et al., 2014). This suggests that sex hormones have the capacity to mediate and modulate growth, metabolism, and virulence of bacterial pathogens.
Bringing together all these findings allow us to validate the theory that the endobolome implies a multidimensional set of processes on-going inside the gastrointestinal tract that possible involves many enzymes and pathways. The capacity of microbes to control hormones and of hormones to modify microbial diversity must be considered in future studies. Furthermore, it is possible that in complex microbial communities the functions of hormone control could be diverse between different members of the community. The detection of crucial microbial enzymes in biodegradation might support to find microbial hormone degradation routes and biomarkers of hormones metabolism by a microbial community.
Moreover, we suggest that the gut may act a reservoir for hormone metabolites that could exert effect locally and possibly in the distance in systemic homeostasis and the development of disease. Hormones and microbiota could exert their activity separately for the development of disorders and diseases; however, recent studies have shown that hormones and microbiota may function together in conditions related to hormone hypersecretion or deficiency (Tetel et al., 2018). However, the way certain hormones alter the microbiome to confer normal metabolic phenotypes or how microbial hormone metabolites act as ligands binding to hormone receptors to mediate metabolic functions (Fukui et al., 2018).
The communication between gut microbiota and hormones guides to biological modifications through a diversity of tissues ranging from neuronal development to reproductive health. When dysibiosis occurs, these physiological responses are altered and contribute to development of disease. Polycystic ovary syndrome (PCOS) is a chronic metabolic disease in reproductive-aged women with prevalence between 3 and 26% and whose pathogenesis is currently unknown. A novel hypothesis suggests that microbiota dysbiosis may promote the production of androgens in the ovaries which results in disordered folliculogenesis triggered by a chronic inflammatory response and insulin resistance (Tremellen and Pearce, 2012). Kelley et al. (2016) found in a letrozole (a non-steroidal aromatase inhibitor) induced PCOS murine model that treatment with letrozole significantly changed the gut microbiome composition in a time-dependent manner with a reduction in overall species and phylogenetic richness. Guo et al. (2016) transplanted fecal microbiota from healthy rats to letrozole-induced PCOS mice and found that transplantation resulted in normalization of the estrous cycles and the ovarian morphology. These findings suggest the association between sex hormone levels, estrous cycles, ovarian morphology and gut microbiota composition. Another murine model study showed that transplantation of male cecal microbiota to females led to increased testosterone levels, compared with unmanipulated control females and female mice transplanted with female cecal microbiota (Markle et al., 2013). Liu et al. (2017) conducted a study in 33 PCOS patients and found that gut dysbiosis correlated with the disease. The authors also reported an increase in the relative abundance of Bacteroides, Escherichia/Shigella, and Streptococcus in PCOS individuals, a negative correlation between these bacterial species and ghrelin levels, and a positive correlation with testosterone and body mass index (BMI). Lastly, decreased abundances of Akkermansia and Ruminococcus in PCOS, with a negative correlation of these species and body-weight, sex-hormone, and brain–gut peptides. Summarizing, human microbiota seems to play a key role in endocrine and reproductive system disorders. Moreover, microbiota reproductive dysbiosis have started to be treated by probiotics using typical species from genus Lactobacillus (Lopez-Moreno and Aguilera, 2020). Some Bifidobacteria seems modulate sex hormone levels in patients with PCOS through the gut–brain axis (Zhang et al., 2019).
The prostate is an estrogen and androgen target tissue and estrogens have been shown to promote growth and differentiation of prostate, potentially leading to the development of prostate cancer. Recent studies indicate that gut microbial species leading to increased serum levels of estrogens may increase the risk of prostate cancer (Nelles et al., 2011). Androgens are involved in the growth and survival of normal prostate cells and in the development of prostate cancer, with androgen suppression therapy being a usual treatment for this type of cancer. However, although most patients with advanced metastatic prostate cancer respond to androgen deprivation, the tumors eventually become androgen-independent (Feldman and Feldman, 2001; Porter et al., 2018). The capacity of gut microbiome to alter androgen levels may result in depletion, less effective androgen suppression therapy. Sfanos et al. (2018) found a distinct microbial composition in patients undergoing oral androgen suppression therapy versus patients not treated with this therapy. Treated patients also showed an increase in the bacterial metabolic pathways that stimulate androgen synthesis. In addition, significant differences were found in the gut microbial composition between prostate cancer patients and patients with benign lesions (Golombos et al., 2018). Similarly, Magri et al. (2018) considered prostatitis as a systemic diseases correlating with alterations of specific microbiota or seminal dysbiosis.
The relation between the gut microbiome and the development of gynecologic cancers remains unclear (Mert et al., 2018), but there is growing evidence of the role played by changes in microbiome in an increased risk of these types of cancers. It is plausible that all these factors can lead to cancer by modifying the microbiota and its interaction with host DNA or just simply by triggering inflammatory reactions. Some possible mechanisms related to this increased risk are the capacity of the microbiota to interact with the host DNA and to promote chronic inflammation. As for epithelial ovarian cancer patients, Banerjee et al. (2017) found a distinct gut microbiota composition versus controls. Retroviridae and human papilloma virus as well as Proteobacteria and Firmicutes were found in ovarian cancer patients versus controls (Mitra et al., 2016). In agreement with this hypotheses, probiotic microorganisms are been investigating recently by their antigenotoxic potential effects (Janosch et al., 2019).
Breast cancer has also been related with disturbances in the microbiota. In this respect, it has been reported a decreased gut microbial diversity and a different composition in postmenopausal women with breast cancer versus controls (Zhu et al., 2018). Lahiji et al. (2020) analyzed recently the effect of symbiotic on glycemic profile and sex hormones in overweight and obese breast cancer survivors following a weight-loss diet through a randomized controlled trial. However, Jones et al. (2019) did not found any correlation between fecal microbiota and breast density on the mammograms.
As with gut microbiota, the enteroendocrine cells found in the gastrointestinal tract can alter the microbial composition having an effect on the intestinal health patterns of estrogen metabolism used as markers of breast cancer risk in postmenopausal women have been correlated with gut microbiota diversity and composition (Kwa et al., 2016).
Estrogens promote the growth and proliferation of epithelial cells in the mammary gland and in the reproductive system and are thereby associated with proliferative conditions like endometrial cancer and endometriosis. Several authors have suggested an association between gut microbiota alterations and development of endometriosis (Ata et al., 2019). Bailey and Coe (2002) supported this equivalent idea association in a rhesus monkey model. In addition, in a murine model Yuan et al. (2018) reported a distinct composition of gut microbiota 42 days after endometriosis induction.
Taking together all this data shown that commensal microbiota of the host could be implicated in gender bias existing in numerous diseases. The capacity of the gut microbiome in controlling hormone levels allow to have stimulating therapeutics applications in different diseases, taken into account a sex-tailored therapeutic approach.
Efficacy and safety of current hormone replacement therapies might be improved by combining probiotics with the hormones that work independently or synergistically to provide a more holistic treatment approach against hormonal disease (De Franciscis et al., 2019). Lastly, it has been suggested that probiotic bacteria administered in combination with hormone replacement therapy may increase the efficacy of hormone replacement and attenuate the side effects that can arise from its use, therefore providing a more comprehensive treatment of hormonal diseases. Next generation probiotics will explore the function in this area of knowledge (Ejtahed and Hasani-Ranjbar, 2019). The response to therapeutic alteration of the microbiota using prebiotics, live biotherapeutics or fecal transplant therapy is likewise probable to be dissimilar in males and females, although this has not been specifically studied to date.
The studies compiled revealed significant evidence of sex-specific communities, the role of sexual maturation producing changes to microbial communities, and proof that microbial communities could have a key function by modulating hormonal and metabolic pathways. Results highlight the need to examine sex-specificity in microbial composition and function.
Endocrine Disruptors-Gut Microbiome Axis
The role played by human exposure to EDC in the development of diseases such as breast cancer, diabetes, obesity and some neurobehavioral disorders is widely known (Andujar et al., 2019). These diseases have also been related to gut dysbiosis, which suggests the central role of gut microbiome in the effects induced by EDC exposure in human metabolism (Galvez-Ontiveros et al., 2020). It can therefore be suggested that the exposure to EDC may result in alterations in the gut microbiome which may ultimately affect human health. In a bidirectional interaction, microbiota can metabolize EDC to biologically active or inactive forms, and EDC may induce the proliferation and growth of certain bacteria. These EDC-induced changes in the gut microbiota may lead to disturbances in different host systems. However, it remains unclear if EDC-induced metabolic disruptions in the host occur before the changes in the microbiome or if the EDC-induced microbiome changes result in metabolic disruptions (Rosenfeld, 2017).
The gastrointestinal tract is the main route of entry for EDC; however, their absorption through the intestinal wall is low and they are transported by the peristaltic movement to the distal small intestine and caecum where microbial flora is more abundant and they can be directly metabolized by the microbiota thereby increasing or decreasing their toxicity to the host. Part of the disruptors is taken to the liver by the portal circulation where they are conjugated. These conjugated forms can be excreted in the bile entering the small intestine where microbiota tend to deconjugate them therefore restoring the original compound or producing new toxic metabolites. EDC can also affect the composition and metabolic activity of gut microbiota, which in turn may result in a disrupted activity of EDC metabolites or in the toxicity of other contaminants metabolized by the gut microbiota (Claus et al., 2017). Data from animal models suggest that the alterations in gut microbiota not only affect the levels of microbial enzymes, but also the levels of hepatic enzymes in the host (Snedeker and Hay, 2012). In addition, exposure to EDC could alter gut microbiota functions.
The gut microbiota has the capacity to transform non-EDC in active compounds. For example, Van de Wiele et al. (2005) reported that colonic microbiota can metabolize polyaromatic hydrocarbons into 1-hydroxy pyrene and 7-hydroxybenzo[a]pyrene, biologically active estrogen metabolites, while the gastrointestinal digestion of these xenobiotics did not produce estrogen metabolites. This finding suggests that the colonic microbial communities have the capacity to transform parent compounds directly into active metabolites.
The hypothesis that exposure to EDC may result in alterations of the gut microbial composition has not yet been extensively explored. In this scenario, the microbiota and their products may act as mediators of the effects caused by these contaminants, which will eventually lead to the development of disorders and diseases. Several EDC have been shown to promote dysbiosis or to inhibit bacterial growth in in vitro and in in vivo models (Galvez-Ontiveros et al., 2020). Dysbiosis has been associated with intestinal and non-intestinal disorders which have been in turn related to EDC exposure. This would be consistent with the idea that EDC exposure may have an impact on the normal gut microbiota colonization, which will ultimately affect host physiology and health. These EDC-induced alterations of the gut microbiota composition may represent an underestimated mechanism of interfering with human health.
Microbiota Disrupting Chemicals (MDC)
We propose that EDC and other xenobiotics that alter the gut microbial composition and metabolism should be categorized into a subgroup termed “microbiota disrupting chemicals” (MDC). This will help to distinguish the role of contaminants from other microbiota disruptors such as diet, environment, physical activity and stress. These MDC might have the ability to promote changes in the microbiota that can ultimately result in intestinal, hormonal and chronic or long-term systemic diseases in the host as illustrated in Figure 1.
Below we summarize the best known and studied by now MDC and their effects on the microbiota.
Several studies have revealed the central role played by gut microbiota in the toxicity of pesticides, with important implications for environmental, animal and human health (Yuan et al., 2019; Table 2). Glyphosate and chlorpyrifos, the most widely used herbicide and pesticide, respectively, exhibit endocrine disrupting activity. Human exposure occurs mainly through diet and drinking water (Gillezeau et al., 2019). They have been reported to interfere with gut microbial communities and enteroendocrine cells (Li et al., 2019). Mucosal-associated invariant T-cells (MAIT) are activated by bacterial-derived metabolites from riboflavin and folic acid biosynthesis. Mendler et al. (2020) investigated the effects of chlorpyrifos and glyphosate on the regulation of MAIT activity but gut microbiota and found that exposure to these pesticides results in disturbances in the gut microbial communities studied, thereby promoting a pro-inflammatory immune response.
In a fish model, chlorpyrifos led to disorders in the hepatic lipid metabolism linked to oxidative stress in the gut and dysbiosis (Wang et al., 2019). In a murine model, Liang et al. observed that chlorpyrifos induced changes in the gut microbiota which resulted in an increased risk of obesity and insulin resistance (Liang et al., 2019). They also found that this pesticide can disrupt the integrity of the intestinal barrier, leading to the entry of lipopolysaccharides into the bloodstream ultimately resulting in low-grade inflammation.
Using 16 S rRNA gene sequencing in a rat model, Tang et al. (2020) observed that glyphosate exposure led to a significant increase in α-diversity and changes in gut microbiota composition with decreased relative abundance of Firmicutes and Lactobacillus and enrichment of potentially bacterial pathogens. Firmicutes produces butyrate as a byproduct of fermentation. It has been reported that butyrate-producing bacteria play a role in intestinal epithelial barrier maintenance (Canani et al., 2011). Rueda-Ruzafa et al. (2019) showed that glyphosate-mediated inactivation of 5-enolpyruvylshikimate-3-phosphate synthase from intestinal microbiota results in dysbiosis which in turn led to alterations in central nervous system causing emotional, neurological and neurodegenerative disorders.
In a rat model, Li et al. (2019) investigated the effects of chronic exposure to chlorpyrifos on serum hormone levels, pro-inflammatory cytokines and gut microbiota and found that exposure significantly decreased levels of luteinizing hormone, follicle stimulating hormone and testosterone and change gut microbiota composition. The affected bacteria included short-chain fatty acid-producers, which stimulate the hypothalamic-pituitary-adrenal axis and the immune response, and increase the permeability of the gut barrier.
Diazinon, an organophosphate pesticide with estrogenic activity (Manabe et al., 2006) has shown to alter the structure of the gut microbiome community, functional metagenome, and their associated metabolic profiles in a sex-related manner in murine models (Gao et al., 2017a). Gao et al. (2017a) suggest that diazinon neurotoxicity and its sex-dependent effects are related to the pesticide-induced alterations of the gut microbiome and its functions. The same authors (Gao et al., 2017b) investigated the effects of diazinon exposure by determination the gut bacterial metatranscriptome. They demonstrated that diazinon has the capacity to regulate quorum sensing, a system used to regulate bacterial population density and composition, and more importantly, their functional genes. Lastly, they also found that diazinon exposure results in the activation of stress response pathways and in disruptions of energy metabolism of gut bacteria.
Organochlorine pesticides with endocrine disrupting capacity have been also related with alterations in gut microbiota. Dichlorodiphenyldichloroethylene (DDE) exposure of 3-week-old male Sprague Dawley rats led to an increase of fat and body weight, dysregulation of glucose homeostasis, and promoted dysbiosis as suggested by a higher Firmicutes/Bacteroidetes ratio, resulting in disruptions in energy harvesting. DDE also resulted in alterations in the lipid metabolome profile with high plasma concentrations of phosphatidylcholine, phosphatidylserine, hosphatidylethanolamine, and triacylglycerol. The presence of these lipid metabolites was significantly associated with changes in microbiota composition (Liang et al., 2008).
Bisphenol and Phthalates
Bisphenol A (BPA) is an environmental contaminant with endocrine disrupting activity widely used in the manufacture of polycarbonate plastics and epoxy resins and is released in large volumes into the environment. Phthalates are used in many household products and in food packaging acting as binding products and plasticizers. Human exposure to these contaminants occurs mainly through the diet, as they leech from plastic packaging, water, dust and to lesser extent from skin contact (Larsson et al., 2017). Both endocrine disrupters have shown to affect gut microbiota composition and function in animal models (Table 3). In a mouse model, DeLuca et al. (2018) found that BPA has the capacity to promote colonic inflammation and alter the levels of tryptophan and other microbiota metabolites derived from aromatic amino acids related to autoimmune diseases, specifically to inflammatory bowel conditions. In a mouse model, Lai et al. (2016) used 16S rRNA gene sequencing of cecal microbiota to demonstrate that BPA exposure through diet may result in alterations of gut microbiota composition and function, promoting the growth of Proteobacteria, a marker of dysbiosis, that has been associated to different disorders such as metabolic syndrome and inflammatory bowel disease (Zhang et al., 2006). Increased Helicobacteraceae and decreased Firmicutes and Clostridia populations were observed in BPA-fed mice. In a mouse model, Javurek et al. (2016) used 16s rRNA sequencing to show that BPA exposure, especially during development, results in generational and sex-related changes in the gut microbiome. Exposure to BPA induced in the parents and their offspring the growth of bacteria related to an increased risk of inflammatory bowel disease (IBD), metabolic disorders, and colorectal cancer. Also, in a murine model, Malaise et al. (2017) observed that perinatal exposure to BPA promoted disturbances in gut microbiota and immune system through a decrease in the Th1/Th17 cell frequencies in the lamina propria as well as an increase of Th1 andTh17 responses in the spleen. These early-life alterations are associated with impaired glucose sensitivity and IgA secretion into feces, and a drop of fecal bifidobacteria versus non-exposed mice.
Chen et al. (2018a) found that simultaneous exposure to titanium dioxide nanoparticles and BPA in zebrafish resulted in growth and gut microbiota alterations including loss of the mucosal barrier integrity and increased inflammation and oxidative stress. In addition, the changes in gut microbiota were sex- and concentration-dependent. The authors also found a correlation between zebrafish body weight and abundances of Bacteroides, which was also closely associated with the genera Anaerococcus, Finegoldia, and Peptoniphilus. They also reported that BPA at low concentrations interacts antagonistically with titanium dioxide but BPA at higher concentrations interacts synergistically. Lai et al. (2016) found that dietary BPA exposure in mice resulted in changes in gut microbiota structure similar to those found in mice on high-fat and high-sucrose diets. Xu et al. (2019) described that the effects of BPA-exposure on type 1 diabetes (T1D) in non-obese diabetic mice and found that were sex- age-dependent with changes in gut microbiota and inflammation being the main mechanisms disease worsening in juvenile exposure, while decreased inflammation resulted in attenuated T1D in perinatally exposed females.
In a mouse model Lei et al. (2019) showed that exposure to diethylhexylphthalate (DEP), a chemical associated with neurodevelopmental disorders, led to changes in gut microbial structure and metabolite profile. These changes in the microbiota may activate the production of p-cresol, a potentially toxic metabolite that has also been correlated with neurodevelopmental disorders. Recently, Adamovsky et al. (2020) showed that DEP exposure results in alterations in the microbiome-gut-immune axis which promotes adverse effects of DEHP on the host by altering metabolites sensed by both intestinal and immune T-cells. Wang et al. (2020) postulate that the differences in the toxicity of DEP on different strains and species of rodents are related to the distinctive DEP-induced changes in gut. Lastly, Yang et al. (2019) investigated whether phthalate exposure in newborns through medical treatment that required intravenous infusions had an impact on gut microbiota composition and diversity and found that this type of exposure caused gut dysbiosis, with decreased Rothia sp. and Bifidobacterium longum. The authors conclude that early-life exposure to DEP alters gut microbiota in newborns and may result in disruptions of immune responses later in life.
Many heavy metals have shown endocrine disrupting properties, and human exposure occurs through diet and water, inhalation of polluted air, smoking and dermal absorption (Sabra et al., 2017). The effects of metal exposure on the gut microbiota have been studied in various species including mice, rats, chickens, fish, and humans in adulthood (Table 4).
Recent works have described the effects of metals on microbiota including the paper by Zhou et al. (2020) reported that subchronic exposure to mercury in chickens caused dysbiosis and altered microbial growth and development, which may ultimately led to metabolic disorders. Zhao et al. (2020) showed that mercury exposure in mice resulted in alterations in microbial growth and development, metabolic disorders, and promoted apoptosis in mice. Gut dysbiosis was associated with increased abundance of Coprococcus, Oscillospira and Helicobacter and reduced Lgnatzschineria, Salinicoccus, and Bacillus.
Ruan et al. (2019) reported that high exposure to copper and mercury in female mice led to histopathological lesions and changed the diversity of the cecal microbiota. In an amphibian model, Zheng et al. (2020) investigated the effects of exposure to copper, cadmium and chrome on the gut microbiota and found that at the phylum level, copper exposure increased Proteobacteria, that has been described to be associated with metabolic diseases (Rizzatti et al., 2017). Copper, cadmium and chrome exposure significantly increased Bacteroidetes that is implicated in the protein metabolism and in the complex cycling of carbon (He et al., 2018). Lastly, exposure to copper and cadmium resulted in a reduction of Fusobacteria. The abundance of Fusobacteria is negatively related to the incidence of infectious and diseases producing tissue necrosis (Knutie et al., 2018).
Zhang et al. (2020) found that exposure to cadmium in crustacean P. clarkii resulted in histological changes in the intestines and alteration of the richness, diversity, and composition of its gut microbiota with changes in the relative abundances of Firmicutes, Proteobacteria, Bacteroidetes, Fusobacteria, and Actinobacteria. Yan et al. (2020) investigated the toxicity of environmentally relevant concentrations of metals and microplastics on the gut bacteria and gonadal development in medaka fish and found significant changes in gut microbiota. The authors also reported that the exposure to metals increased the diversity and abundance of intestinal microbiota, in particular of Proteobacteria. In an epidemiologic study Shao and Zhu (2020) found that long-term exposure to arsenic, cadmium, copper, lead and zinc increased the relative abundances of Lachnospiraceae, Eubacterium eligens, Ruminococcaceae UGG-014, Erysipelotrichaceae UCG-003, Tyzzerella 3, Bacteroides, Slackia, and Roseburia and decreased Prevotella. The authors also reported that these changes in the microbiota were sex-dependent. Richardson et al. (2018) reported that the microbiota can be used as a pre-clinical marker of exposure to specific heavy metals. They described significant changes in the gut microbial composition in rats after exposure to high doses of chromium and cobalt, and dose-dependent changes after exposure to arsenic, cadmium and nickel.
There are few studies that examine the effects of metal exposure in human microbiota. In this respect, Eggers et al. (2019) examined the association between lead concentration in urine and gut composition in adults and found that increased lead levels were correlated with increased α-diversity and richness. In addition, differences in Proteobacteria, including members of Burkholderiales, as well as in β-diversity were significantly associated (p = 0.003) with differences in lead levels in urine.
Triclosan (TCS) is a well-known EDC added to many consumer products intended to reduce or prevent bacterial contamination (Halden et al., 2017). Parabens are widely used as preservatives in cosmetics, personal care products, drugs, and foods (Quiros-Alcala et al., 2018). Triclosan and parabens have been showed to alter microbiota in different studies (Table 5). Hu et al. (2016) examined the effect of low-dose exposure to DEP, methylparaben (MPB), TCS and the effect of simultaneous exposure (MIX) in the gut bacterial composition in adolescent rats and found an increased relative abundance of Bacteroidetes (Prevotella) and reduced relative abundance of Firmicutes (Bacilli) in exposed rats versus controls. The authors also found an increased abundance of Elusimicrobia in rats exposed simultaneously to DEP and MPB, increased Betaproteobacteria in simultaneous exposure to MPB and MIX, and Deltaproteobacteria in TCS-exposed rats. Surprisingly, these differences in gut bacterial composition decreased diminished by adulthood despite continued exposure, suggesting that environmental exposure to these chemicals during adolescence has a strongest effect on the gut microbiome. They also observed that exposure during adolescence, especially to DEP and MPB, led to a slight but consistent reduction in the bodyweight, consistent with the reduced Firmicutes/Bacteroidetes ratio found in exposed adolescent rats. It has been reported that the gut microbiota of obese animals and humans shows a higher Firmicutes/Bacteroidetes ratio compared with normal-weight individuals, suggesting this ratio as a biomarker. However, the actual evidence of this association is not convincing (Magne et al., 2020).
In a zebrafish model Gaulke et al. (2016) found that TCS exposure resulted in alterations in the composition and ecological dynamics of gut microbial communities. TCS exposure was also related to rapid changes in microbiome structure and diversity, with disturbance of Enterobacteriaceae. TCS-induced changes in gut microbiota have also been found in other animal models, including fathead minnows (Narrowe et al., 2015), rats (Hu et al., 2016), and mice (Gao et al., 2017; Yang et al., 2018).
In contrast, only few studies have investigated the effects of TCS exposure on the gut microbiota in humans. Bever et al. (2018) found that fecal microbiota diversity in infants exposed to triclosan through to breast milk was different from that found in infant fed milk with non-detectable levels of TCS. In addition, higher relative abundance of genus Dermabacter was observed in children exposed to breast milk containing TCS. Ribado et al. (2017) reported that chronic exposure to TCS through toothpaste increased the relative abundance of broadly antibiotic-resistant Proteobacteria species in adults and in children with high TCS levels in urine.
Polybrominated Diphenyl Ethers (PBDEs)
PBDEs are environmentally persistent chemicals widely used as flame retardants (Poston and Saha, 2019) that have been shown to alter microbiota (Table 6). In a zebrafish model, Chen et al. (2018b) showed that exposure to environmentally realistic concentrations of PBDEs resulted in alterations in the gut microbial community in a sex-dependent manner, significantly affecting zebrafish health. Wang et al. (2018) found that perinatal exposure to bromodiphenyl ether (BDE-47) in an obese rat model led to obesity, hepatic steatosis, and dysfunctional glucose homeostasis and metabolism. The authors also reported that exposure to BDE-47 led to changes in gut microbiota diversity and composition, and microbial metabolism. These exposure-related changes were stronger in mice on a high-fat diet. These findings suggest that early life exposure to BDE-47 at low doses of may stimulate obesity and the development of metabolic dysfunction.
Li et al. (2017) investigated whether exposure to PBDEs is associated with dysbiosis in standard and germ-free mice and reported that PBDE exposure resulted in a significant decrease in the alpha diversity of gut microbiome and modulated 45 bacterial species with increased Akkermansia muciniphila and Erysipelotrichaceae Allobaculum spp., which have shown antiinflammatory and antiobesity capacity. Lastly, they also found that PBDE exposure increased the amount of unconjugated bile acids in a gut microbiota-dependent manner.
Laue et al. (2019) compared the effects of PBDE perinatal exposure on the gut microbiome profiles with the effects of exposure in mid-childhood. Higher PBDE concentrations were related to lower abundances of uncultured bacteria in the Ruminococcaceae NK4A214 group and with variable abundances of Ruminococcus 2 species. These changes at the taxon-level did not lead to differences in within- or between-subject diversity. Lastly, exposures at delivery were not linked to differences in taxa.
Endogenous steroid hormones and EDC interact with gut microbiota through different pathways: (i) they could be directly metabolized by the gut microbiota after ingestion or after being conjugated in the liver, and (ii) they can interfere with the composition and/or metabolic activity of the gut microbiota. Both interactions may have an effect in host health. We propose that toxicological studies should consider the changes in the gut microbiota related to contaminant exposure and term the chemicals having an effect on gut microbiota as “microbiota disrupting chemicals.” The risk of developing certain disorders associated with gut microbiota changes should be established by determining both the effects of the MDC on gut microbiota and the impact of microbiota changes on chemicals metabolism and host susceptibility.
Gut microbiota composition used in combination with the determination of serum, urinary and fecal levels of estrogens can be used as susceptibility or risk biomarkers for disease. Profiling of the gut microbiome could be taken a step further by performing metagenomic analysis to determine the levels of genes encoding β-glucuronidases and other enzymes involved in hormone metabolism in the context of hormone-related diseases. Novel hormone modulation methods involving modifications of the microbiome or control of hormone and EDC exposure may be very effective and provide an alternative to current treatments of hormone-dependent disorders. Additionally, the therapeutic effects of bacteria on the endobolome, which cluster biosynthetic and metabolic arsenal for estrogens, steroid hormones and/or endocrine disruptor chemicals, should also be considered for the design and development of biotherapeutic products. The endobolome plays a central role in the gut microbiota as seen by the amount of potentially endobolome-mediated diseases and thereby it can be considered an attractive diagnostic tool and therapeutic target for future research strategies that envisage the use of next generation of probiotics.
In any case, further animal controlled experiments, clinical trials and large epidemiological studies are required in order to establish the concatenated impact of the microbial disrupting chemical-microbiota-host health axis.
MA and AR: conceptualization. MA, AR, and YG-O: methodology, writing – original draft preparation, review, and editing. All authors have read and agreed to the published version of the manuscript.
This work was carried out within the frame of GP/EFSA/ENCO/380 2018/03/G04: OBEMIRISK: Knowledge platform for assessing the risk of Bisphenols on gut microbiota and its role in obesogenic phenotype: looking for biomarkers. This research was also funded by Spanish State Research Agency (SRA) EIN2019-103431, EIN2019-103082 and Proyecto cofinanciado FEDER-Consejería de Salud y Familias, Junta de Andalucía PE-0250-2019.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The results presented in this article constitute part of YG-O doctoral thesis, performed in the Nutrition and Food Sciences Doctorate Program of the University of Granada.
Adamovsky, O., Buerger, A. N., Vespalcova, H., Sohag, S. R., Hanlon, A. T., Ginn, P. E., et al. (2020). Evaluation of microbiome-host relationships in the Zebrafish gastrointestinal system reveals adaptive immunity is a target of bis(2-ethylhexyl) Phthalate (DEHP) Exposure. Environ. Sci. Technol. 54, 5719–5728. doi: 10.1021/acs.est.0c00628
Adlercreutz, H., Pulkkinen, M. O., Hamalainen, E. K., and Korpela, J. T. (1984). Studies on the role of intestinal bacteria in metabolism of synthetic and natural steroid-hormones. J. Steroid Biochem. Mol. Biol. 20, 217–229. doi: 10.1016/0022-4731(84)90208-5
Andujar, N., Galvez-Ontiveros, Y., Zafra-Gomez, A., Rodrigo, L., Alvarez-Cubero, M. J., Aguilera, M., et al. (2019). Bisphenol a analogues in food and their hormonal and obesogenic effects: a review. Nutrients 11:2136. doi: 10.3390/nu11092136
Ata, B., Yildiz, S., Turkgeldi, E., Perez-Brocal, V., Dinleyici, E. C., Moya, A., et al. (2019). The Endobiota study: comparison of vaginal, cervical and gut microbiota between women with stage 3/4 endometriosis and healthy controls. Sci. Rep. 9:2204. doi: 10.1038/s41598-019-39700-6
Bailey, M. T., and Coe, C. L. (2002). Endometriosis is associated with an altered profile of intestinal microflora in female rhesus monkeys. Hum. Reprod. 17, 1704–1708. doi: 10.1093/humrep/17.7.1704
Bajer, L., Kverka, M., Kostovcik, M., Macinga, P., Dvorak, J., Stehlikova, Z., et al. (2017). Distinct gut microbiota profiles in patients with primary sclerosing cholangitis and ulcerative colitis. World J. Gastroenterol. 23, 4548–4558. doi: 10.3748/wjg.v23.i25.4548
Baker, J. M., Al-Nakkash, L., and Herbst-Kralovetz, M. M. (2017). Estrogen gut microbiome axis: physiological and clinical implications. Maturitas 103, 45–53. doi: 10.1016/j.maturitas.2017.06.025
Banerjee, S., Tian, T., Wei, Z., Shih, N., Feldman, M. D., Alwine, J. C., et al. (2017). The ovarian cancer oncobiome. Oncotarget 8, 36225–36245. doi: 10.18632/oncotarget.16717
Bever, C. S., Rand, A. A., Nording, M., Taft, D., Kalanetra, K. M., Mills, D. A., et al. (2018). Effects of triclosan in breast milk on the infant fecal microbiome. Chemosphere 203, 467–473. doi: 10.1016/j.chemosphere.2018.03.186
Canani, R. B., Costanzo, M. D., Leone, L., Pedata, M., Meli, R., and Calignano, A. (2011). Potential beneficial effects of butyrate in intestinal and extraintestinal diseases. World J. Gastroenterol. 17, 1519–1528. doi: 10.3748/wjg.v17.i12.1519
Chen, K. L., and Madak-Erdogan, Z. (2016). Estrogen and microbiota crosstalk: Should we pay attention? Trends Endocrinol. Metab. 27, 752–755. doi: 10.1016/j.tem.2016.08.001
Chen, K. L. A., Liu, X., Zhao, Y. C., Hieronymi, K., Rossi, G., Auvil, L. S., et al. (2018). Long-term administration of conjugated estrogen and bazedoxifene decreased murine fecal beta-glucuronidase activity without impacting overall microbiome community. Sci. Rep. 8:8166. doi: 10.1038/s41598-018-26506-1
Chen, L., Guo, Y., Hu, C., Lam, P. K. S., Lam, J. C. W., and Zhou, B. (2018a). Dysbiosis of gut microbiota by chronic coexposure to titanium dioxide nanoparticles and bisphenol A: implications for host health in zebrafish. Environ. Pollut. 234, 307–317. doi: 10.1016/j.envpol.2017.11.074
Chen, L., Hu, C., Lai, N. L., Zhang, W., Hua, J., Lam, P. K. S., et al. (2018b). Acute exposure to PBDEs at an environmentally realistic concentration causes abrupt changes in the gut microbiota and host health of zebrafish. Environ. Pollut. 240, 17–26. doi: 10.1016/j.envpol.2018.04.062
Choi, S., Hwang, Y., Shin, M., and Yi, H. (2017). Difference in the gut microbiome between ovariectomy-induced obesity and diet-induced obesity. J. Microbiol. Biotechnol. 27, 2228–2236. doi: 10.4014/jmb.1710.10001
Claus, S., Guillou, H., and Ellero-Simatos, S. (2017). The gut microbiota: a major player in the toxicity of environmental pollutants? NPJ Biofilms Microbiomes 3:17001. doi: 10.1038/npjbiofilms.2017.1
Collden, H., Landin, A., Wallenius, V., Elebring, E., Fandriks, L., Nilsson, M. E., et al. (2019). The gut microbiota is a major regulator of androgen metabolism in intestinal contents. Am. J. Physiol. Endocrinol. Metab. 317, E1182–E1192. doi: 10.1152/ajpendo.00338.2019
Darbre, P. D. (2017). Endocrine disruptors and obesity. Curr. Obes. Rep. 6, 18–27. doi: 10.1007/s13679-017-0240-4
De Franciscis, P., Colacurci, N., Riemma, G., Conte, A., Pittana, E., Guida, M., et al. (2019). A nutraceutical approach to menopausal complaints. Medicina 55:544. doi: 10.3390/medicina55090544
DeLuca, J. A. A., Allred, K. F., Menon, R., Riordan, R., Weeks, B. R., Jayaraman, A., et al. (2018). Bisphenol-A alters microbiota metabolites derived from aromatic amino acids and worsens disease activity during colitis. Exp. Biol. Med. 243, 864–875. doi: 10.1177/1535370218782139
Doden, H., Pollet, R., Mythen, S., Wawrzak, Z., Devendran, S., Cann, I., et al. (2019). Structural and biochemical characterization of 20β-hydroxysteroid dehydrogenase from Bifidobacterium adolescentis strain L2-32. J. Biol. Chem. 294, 12040–12053. doi: 10.1074/jbc.RA119.009390
Eggers, S., Safdar, N., Sethi, A. K., Suen, G., Peppard, P. E., Kates, A. E., et al. (2019). Urinary lead concentration and composition of the adult gut microbiota in a cross-sectional population-based sample. Environ. Int. 133:105122. doi: 10.1016/j.envint.2019.105122
Ejtahed, H., and Hasani-Ranjbar, S. (2019). Neuromodulatory effect of microbiome on gut-brain axis; new target for obesity drugs. J. Diabetes Metab. Disord. 18, 263–265. doi: 10.1007/s40200-019-00384-4
Ervin, S., Li, H., Lim, L., Roberts, L., Liang, X., Mani, S., et al. (2019). Gut microbial β-glucuronidases reactivate estrogens as components of the estrobolome that reactivate estrogens. J. Biol. Chem. 294, 18586–18599. doi: 10.1074/jbc.RA119.010950
Falony, G., Joossens, M., Vieira-Silva, S., Wang, J., Darzi, Y., Faust, K., et al. (2016). Population-level analysis of gut microbiome variation. Science 352, 560–564. doi: 10.1126/science.aad3503
Feldman, B. J., and Feldman, D. (2001). The development of androgen-independent prostate cancer. Nat. Rev. Cancer 1, 34–45. doi: 10.1038/35094009
Fox, H. S. (1992). Androgen treatment prevents diabetes in nonobese diabetic mice. J. Exp. Med. 175, 1409–1412. doi: 10.1084/jem.175.5.1409
Fuhrman, B. J., Feigelson, H. S., Flores, R., Gail, M. H., Xu, X., Ravel, J., et al. (2014). Associations of the fecal microbiome with urinary estrogens and estrogen metabolites in postmenopausal women. J. Clin. Endocrinol. Metab. 99, 4632–4640. doi: 10.1210/jc.2014-2222
Fukui, H., Xu, X., and Miwa, H. (2018). Role of gut microbiota-gut hormone axis in the pathophysiology of functional gastrointestinal disorders. J. Neurogastroenterol. Motil. 24, 367–386. doi: 10.5056/jnm18071
Galvez-Ontiveros, Y., Paez, S., Monteagudo, C., and Rivas, A. (2020). Endocrine disruptors in food: impact on gut microbiota and metabolic diseases. Nutrients 12:1158. doi: 10.3390/nu12041158
Gao, B., Bian, X., Mahbub, R., and Lu, K. (2017a). Sex-specific effects of organophosphate diazinon on the gut microbiome and its metabolic functions. Environ. Health Perspect. 125, 198–206. doi: 10.1289/EHP202
Gao, B., Bian, X., Chi, L., Tu, P., Ru, H., and Lu, K. (2017b). Organophosphate diazinon altered quorum sensing, cell motility, stress response, and carbohydrate metabolism of gut microbiome. Toxicol. Sci. 157, 354–364. doi: 10.1093/toxsci/kfx053
Gao, B., Tu, P., Bian, X., Chi, L., Ru, H., and Lu, K. (2017). Profound perturbation induced by triclosan exposure in mouse gut microbiome: a less resilient microbial community with elevated antibiotic and metal resistomes. BMC Pharmacol. Toxicol. 18:46. doi: 10.1186/s40360-017-0150-9
Garcia-Gomez, E., Gonzalez-Pedrajo, B., and Camacho-Arroyo, I. (2013). Role of Sex Steroid Hormones in Bacterial-Host Interactions. Biomed. Res. Int. 2013:928290. doi: 10.1155/2013/928290
García-Mayor, R. V., Larrañaga Vidal, A., Docet Caamaño, M. F., and Lafuente Giménez, A. (2012). Disruptores endocrinos y obesidad: obesógenos. Endocrinol. Nutr. 59, 261–267. doi: 10.1016/j.endonu.2011.11.008
Gaulke, C. A., Barton, C. L., Proffitt, S., Tanguay, R. L., and Sharpton, T. J. (2016). Triclosan exposure is associated with rapid restructuring of the microbiome in adult zebrafish. PLoS One 11:e0154632. doi: 10.1371/journal.pone.0154632
Gillezeau, C., Alpert, N., Joshi, P., and Taioli, E. (2019). Urinary dialkylphosphate metabolite levels in US adults-national health and nutrition examination survey 1999-2008. Int. J. Environ. Res. Public Health 16:4605. doi: 10.3390/ijerph16234605
Golombos, D. M., Ayangbesan, A., O’Malley, P., Lewicki, P., Barlow, L., Barbieri, C. E., et al. (2018). The role of gut microbiome in the pathogenesis of prostate cancer: a prospective, pilot study. Urology 111, 122–128. doi: 10.1016/j.urology.2017.08.039
Guo, Y., Qi, Y., Yang, X., Zhao, L., Wen, S., Liu, Y., et al. (2016). Association between polycystic ovary syndrome and gut microbiota. PLoS One 11:e0153196. doi: 10.1371/journal.pone.0153196
Halden, R. U., Lindeman, A. E., Aiello, A. E., Andrews, D., Arnold, W. A., Fair, P., et al. (2017). The florence statement on Triclosan and Triclocarban. Environ. Health Perspect. 125:064501. doi: 10.1289/EHP1788
Harada, N., Hanaoka, R., Horiuchi, H., Kitakaze, T., Mitani, T., Inui, H., et al. (2016). Castration influences intestinal microflora and induces abdominal obesity in high-fat diet-fed mice. Sci. Rep. 6:23001. doi: 10.1038/srep23001
He, F., Zhai, J., Zhang, L., Liu, D., Ma, Y., Rong, K., et al. (2018). Variations in gut microbiota and fecal metabolic phenotype associated with fenbendazole and ivermectin tablets by 16s rRNA gene sequencing and lc/ms-based metabolomics in amur tiger. Biochem. Biophys. Res. Commun. 499, 447–453. doi: 10.1016/j.bbrc.2018.03.158
Hu, J., Raikhel, V., Gopalakrishnan, K., Fernandez-Hernandez, H., Lambertini, L., Manservisi, F., et al. (2016). Effect of postnatal low-dose exposure to environmental chemicals on the gut microbiome in a rodent model. Microbiome 4:26. doi: 10.1186/s40168-016-0173-2
Janosch, D., Dubbert, S., Eiteljoerge, K., Diehl, B. W. K., Sonnenborn, U., Passchier, L. V., et al. (2019). Anti-genotoxic and anti-mutagenic activity of Escherichia coli Nissle 1917 as assessed by in vitro tests. Benef. Microbes 10, 449–461. doi: 10.3920/BM2018.0113
Janssen, A. W. F., and Kersten, S. (2015). The role of the gut microbiota in metabolic health. FASEB J. 29, 3111–3123. doi: 10.1096/fj.14-269514
Javurek, A. B., Spollen, W. G., Johnson, S. A., Bivens, N. J., Bromert, K. H., Givan, S. A., et al. (2016). Effects of exposure to bisphenol A and ethinyl estradiol on the gut microbiota of parents and their offspring in a rodent model. Gut Microbes 7, 471–485. doi: 10.1080/19490976.2016.1234657
Jones, G. S., Feigelson, H. S., Falk, R. T., Hua, X., Ravel, J., Yu, G., et al. (2019). Mammographic breast density and its association with urinary estrogens and the fecal microbiota in postmenopausal women. PLoS One 14:e0216114. doi: 10.1371/journal.pone.0216114
Kelley, S. T., Skarra, D. V., Rivera, A. J., and Thackray, V. G. (2016). The gut microbiome is altered in a letrozole-induced mouse model of polycystic ovary syndrome. PLoS One 11:e0146509. doi: 10.1371/journal.pone.0146509
Knutie, S. A., Gabor, C., Kohl, K. D., and Rohr, J. R. (2018). Do host-associated gut microbiota mediate the effect of an herbicide on disease risk in frogs? J. Anim. Ecol. 87, 489–499. doi: 10.1111/1365-2656.12769
Kozik, A. J., Nakatsu, C. H., Chun, H., and Jones-Hall, Y. L. (2017). Age, sex, and TNF associated differences in the gut microbiota of mice and their impact on acute TNBS colitis. Exp. Mol. Pathol. 103, 311–319. doi: 10.1016/j.yexmp.2017.11.014
Kwa, M., Plottel, C. S., Blaser, M. J., and Adams, S. (2016). The intestinal microbiome and estrogen receptor-positive female breast cancer. J. Natl. Cancer Inst. 108:djw029. doi: 10.1093/jnci/djw029
Lahiji, M. R., Najafi, S., Janani, L., Yazdani, B., Razmpoosh, E., and Zarrati, M. (2020). The effect of synbiotic on glycemic profile and sex hormones in overweight and obese breast cancer survivors following a weight-loss diet: a randomized, triple-blind, controlled trial. Clin. Nutr. doi: 10.1016/j.clnu.2020.05.043 [Epub ahead of print].
Lai, K., Chung, Y., Li, R., Wan, H., and Wong, C. K. (2016). Bisphenol A alters gut microbiome: comparative metagenomics analysis. Environ. Pollut. 218, 923–930. doi: 10.1016/j.envpol.2016.08.039
Larsson, K., Lindh, C. H., Jonsson, B. A. G., Giovanoulis, G., Bibi, M., Bottai, M., et al. (2017). Phthalates, non-phthalate plasticizers and bisphenols in Swedish preschool dust in relation to children’s exposure. Environ. Int. 102, 114–124. doi: 10.1016/j.envint.2017.02.006
Laue, H. E., Brennan, K. J. M., Gillet, V., Abdelouahab, N., Coull, B. A., Weisskopf, M. G., et al. (2019). Associations of prenatal exposure to polybrominated diphenyl ethers and polychlorinated biphenyls with long-term gut microbiome structure: a pilot study. Environ. Epidemiol. 3:e039. doi: 10.1097/EE9.0000000000000039
Lei, M., Menon, R., Manteiga, S., Alden, N., Hunt, C., Alaniz, R. C., et al. (2019). Environmental Chemical Diethylhexyl Phthalate Alters Intestinal Microbiota Community Structure and Metabolite Profile in Mice. mSystems 4:e00724-19. doi: 10.1128/mSystems.00724-19
Li, C. Y., Lee, S., Cade, S., Kuo, L., Schultz, I. R., Bhatt, D. K., et al. (2017). Novel interactions between gut microbiome and host drug-processing genes modify the hepatic metabolism of the environmental chemicals Polybrominated Diphenyl Ethers. Drug Metab. Dispos. 45, 1197–1214. doi: 10.1124/dmd.117.077024
Li, J., Fang, B., Pang, G., Zhang, M., and Ren, F. (2019). Age- and diet-specific effects of chronic exposure to chlorpyrifos on hormones, inflammation and gut microbiota in rats. Pestic. Biochem. Physiol. 159, 68–79. doi: 10.1016/j.pestbp.2019.05.018
Liang, X. M., Hu, Y. F., Yu, H. G., and Yang, K. D. (2008). [Effects of p,p ’-DDE and beta-BHC on the apoptosis of Sertoli cells in vitro]. Zhonghua Yu Fang Yi Xue Za Zhi 42, 648–652.
Liang, Y., Zhan, J., Liu, D., Luo, M., Han, J., Liu, X., et al. (2019). Organophosphorus pesticide chlorpyrifos intake promotes obesity and insulin resistance through impacting gut and gut microbiota. Microbiome 7:19. doi: 10.1186/s40168-019-0635-4
Liu, R., Zhang, C., Shi, Y., Zhang, F., Li, L., Wang, X., et al. (2017). Dysbiosis of gut microbiota associated with clinical parameters in polycystic ovary syndrome. Front. Microbiol. 8:324. doi: 10.3389/fmicb.2017.00324
Lombardi, P., Goldin, B., Boutin, E., and Gorbach, S. L. (1978). Metabolism of androgens and estrogens by human fecal microorganisms. J. Steroid Biochem. Mol. Biol. 9, 795–801. doi: 10.1016/0022-4731(78)90203-0
Lopez-Moreno, A., and Aguilera, M. (2020). Probiotics dietary supplementation for modulating endocrine and fertility microbiota dysbiosis. Nutrients 12:757. doi: 10.3390/nu12030757
Magne, F., Gotteland, M., Gauthier, L., Zazueta, A., Pesoa, S., Navarrete, P., et al. (2020). The firmicutes/bacteroidetes ratio: a relevant marker of gut dysbiosis in obese patients? Nutrients 12:1474. doi: 10.3390/nu12051474
Magri, V., Boltri, M., Cai, T., Colombo, R., Cuzzocrea, S., De Visschere, P., et al. (2018). Multidisciplinary approach to prostatitis. Arch. Ital. Urol. Nefrol. Androl. 90, 227–248. doi: 10.4081/aiua.2018.4.227
Malaise, Y., Menard, S., Cartier, C., Gaultier, E., Lasserre, F., Lencina, C., et al. (2017). Gut dysbiosis and impairment of immune system homeostasis in perinatally-exposed mice to Bisphenol A precede obese phenotype development. Sci. Rep. 7:14472. doi: 10.1038/s41598-017-15196-w
Manabe, M., Kanda, S., Fukunaga, K., Tsubura, A., and Nishiyama, T. (2006). Evaluation of the estrogenic activities of some pesticides and their combinations using MtT/Se cell proliferation assay. Int. J. Hyg. Environ. Health 209, 413–421. doi: 10.1016/j.ijheh.2006.04.004
Markle, J. G. M., Frank, D. N., Mortin-Toth, S., Robertson, C. E., Feazel, L. M., Rolle-Kampczyk, U., et al. (2013). Sex differences in the gut microbiome drive hormone-dependent regulation of autoimmunity. Science 339, 1084–1088. doi: 10.1126/science.1233521
Mendler, A., Geier, F., Haange, S., Pierzchalski, A., Krause, J. L., Nijenhuis, I., et al. (2020). Mucosal-associated invariant T-Cell (MAIT) activation is altered by chlorpyrifos- and glyphosate-treated commensal gut bacteria. J. Immunotoxicol. 17, 10–20. doi: 10.1080/1547691X.2019.1706672
Mert, I., Walther-Antonio, M., and Mariani, A. (2018). Case for a role of the microbiome in gynecologic cancers: clinician’s perspective. J. Obstet. Gynaecol. Res. 44, 1693–1704. doi: 10.1111/jog.13701
Mitra, A., MacIntyre, D. A., Marchesi, J. R., Lee, Y. S., Bennett, P. R., and Kyrgiou, M. (2016). The vaginal microbiota, human papillomavirus infection and cervical intraepithelial neoplasia: What do we know and where are we going next? Microbiome 4:58. doi: 10.1186/s40168-016-0203-0
Moreno-Indias, I., Sanchez-Alcoholado, L., Sanchez-Garrido, M. A., Martin-Nunez, G. M., Perez-Jimenez, F., Tena-Sempere, M., et al. (2016). Neonatal androgen exposure causes persistent gut microbiota dysbiosis related to metabolic disease in adult female rats. Endocrinology 157, 4888–4898. doi: 10.1210/en.2016-1317
Mulak, A., Tache, Y., and Larauche, M. (2014). Sex hormones in the modulation of irritable bowel syndrome. World J. Gastroenterol. 20, 2433–2448. doi: 10.3748/wjg.v20.i10.2433
Munyaka, P. M., Khafipour, E., and Ghia, J. (2014). External influence of early childhood establishment of gut microbiota and subsequent health implications. Front. Pediatr. 2:109. doi: 10.3389/fped.2014.00109
Murphy, E. A., Velazquez, K. T., and Herbert, K. M. (2015). Influence of high-fat diet on gut microbiota: a driving force for chronic disease risk. Curr. Opin. Clin. Nutr. Metab. Care 18, 515–520. doi: 10.1097/MCO.0000000000000209
Narrowe, A. B., Albuthi-Lantz, M., Smith, E. P., Bower, K. J., Roane, T. M., Vajda, A. M., et al. (2015). Perturbation and restoration of the fathead minnow gut microbiome after low-level triclosan exposure. Microbiome 3:6. doi: 10.1186/s40168-015-0069-6
Nelles, J. L., Hu, W., and Prins, G. S. (2011). Estrogen action and prostate cancer. Expert Rev. Endocrinol. Metabol. 6, 437–451. doi: 10.1586/EEM.11.20
Org, E., Mehrabian, M., Parks, B. W., Shipkova, P., Liu, X., Drake, T. A., et al. (2016). Sex differences and hormonal effects on gut microbiota composition in mice. Gut Microbes 7, 313–322. doi: 10.1080/19490976.2016.1203502
Pickard, J. M., Zeng, M. Y., Caruso, R., and Nunez, G. (2017). Gut microbiota: role in pathogen colonization, immune responses, and inflammatory disease. Immunol. Rev. 279, 70–89. doi: 10.1111/imr.12567
Plottel, C. S., and Blaser, M. J. (2011). Microbiome and malignancy. Cell Host Microbe 10, 324–335. doi: 10.1016/j.chom.2011.10.003
Porter, C. M., Shrestha, E., Peiffer, L. B., and Sfanos, K. S. (2018). The microbiome in prostate inflammation and prostate cancer. Prostate Cancer Prostatic. Dis. 21, 345–354. doi: 10.1038/s41391-018-0041-1
Poston, R. G., and Saha, R. N. (2019). Epigenetic effects of polybrominated diphenyl ethers on human health. Int. J. Environ. Res. Public Health 16:2703. doi: 10.3390/ijerph16152703
Quiros-Alcala, L., Buckley, J. P., and Boyle, M. (2018). Parabens and measures of adiposity among adults and children from the US general population: NHANES 2007-2014. Int. J. Hyg. Environ. Health 221, 652–660. doi: 10.1016/j.ijheh.2018.03.006
Ribado, J. V., Ley, C., Haggerty, T. D., Tkachenko, E., Bhatt, A. S., and Parsonnet, J. (2017). Household triclosan and triclocarban effects on the infant and maternal microbiome. EMBO Mol. Med. 9, 1732–1741. doi: 10.15252/emmm.201707882
Richardson, J. B., Dancy, B. C. R., Horton, C. L., Lee, Y. S., Madejczyk, M. S., Xu, Z. Z., et al. (2018). Exposure to toxic metals triggers unique responses from the rat gut microbiota. Sci. Rep. 8:6578. doi: 10.1038/s41598-018-24931-w
Ridlon, J. M., Ikegawa, S., Alves, J. M. P., Zhou, B., Kobayashi, A., Iida, T., et al. (2013). Clostridium scindens: a human gut microbe with a high potential to convert glucocorticoids into androgens. J. Lipid Res. 54, 2437–2449. doi: 10.1194/jlr.M038869
Rizzatti, G., Lopetuso, L. R., Gibiino, G., Binda, C., and Gasbarrini, A. (2017). Proteobacteria: a common factor in human diseases. Biomed. Res. Int. 2017:9351507. doi: 10.1155/2017/9351507
Rosenfeld, C. S. (2017). Gut dysbiosis in animals due to environmental chemical exposures. Front. Cell. Infect. Microbiol. 7:396. doi: 10.3389/fcimb.2017.00396
Ruan, Y., Wu, C., Guo, X., Xu, Z., Xing, C., Cao, H., et al. (2019). High doses of copper and mercury changed cecal microbiota in female mice. Biol. Trace Elem. Res. 189, 134–144. doi: 10.1007/s12011-018-1456-1
Rueda-Ruzafa, L., Cruz, F., Roman, P., and Cardona, D. (2019). Gut microbiota and neurological effects of glyphosate. Neurotoxicology 75, 1–8. doi: 10.1016/j.neuro.2019.08.006
Sabra, S., Malmqvist, E., Saborit, A., Gratacos, E., and Gomez-Roig, M. D. (2017). Heavy metals exposure levels and their correlation with different clinical forms of fetal growth restriction. PLoS One 12:e0185645. doi: 10.1371/journal.pone.0185645
Samavat, H., and Kurzer, M. S. (2015). Estrogen metabolism and breast cancer. Cancer Lett. 356, 231–243. doi: 10.1016/j.canlet.2014.04.018
Schug, T. T., Janesick, A., Blumberg, B., and Heindel, J. J. (2011). Endocrine disrupting chemicals and disease susceptibility. J. Steroid Biochem. Mol. Biol. 127, 204–215. doi: 10.1016/j.jsbmb.2011.08.007
Sfanos, K. S., Markowski, M. C., Peiffer, L. B., Ernst, S. E., White, J. R., Pienta, K. J., et al. (2018). Compositional differences in gastrointestinal microbiota in prostate cancer patients treated with androgen axis-targeted therapies. Prostate Cancer Prostatic. Dis. 21, 539–548. doi: 10.1038/s41391-018-0061-x
Shao, M., and Zhu, Y. (2020). Long-term metal exposure changes gut microbiota of residents surrounding a mining and smelting area. Sci. Rep. 10:4453. doi: 10.1038/s41598-020-61143-7
Shimizu, K., Muranaka, Y., Fujimura, R., Ishida, H., Tazume, S., and Shimamura, T. (1998). Normalization of reproductive function in germfree mice following bacterial contamination. Exp. Anim. 47, 151–158. doi: 10.1538/expanim.47.151
Shin, J., Park, Y., Sim, M., Kim, S., Joung, H., and Shin, D. (2019). Serum level of sex steroid hormone is associated with diversity and profiles of human gut microbiome. Res. Microbiol. 170, 192–201. doi: 10.1016/j.resmic.2019.03.003
Singh, R. K., Chang, H., Yan, D., Lee, K. M., Ucmak, D., Wong, K., et al. (2017). Influence of diet on the gut microbiome and implications for human health. J. Transl. Med. 15:73. doi: 10.1186/s12967-017-1175-y
Snedeker, S., and Hay, A. (2012). Do interactions between gut ecology and environmental chemicals contribute to obesity and diabetes? Environ. Health Perspect. 120, 332–339. doi: 10.1289/ehp.1104204
Tang, Q., Tang, J., Ren, X., and Li, C. (2020). Glyphosate exposure induces inflammatory responses in the small intestine and alters gut microbial composition in rats. Environ. Pollut. 261:114129. doi: 10.1016/j.envpol.2020.114129
Tetel, M. J., de Vries, G. J., Melcangi, R. C., Panzica, G., and O’Mahony, S. M. (2018). Steroids, stress and the gut microbiome-brain axis. J. Neuroendocrinol. 30, e12548. doi: 10.1111/jne.12548
Tremellen, K., and Pearce, K. (2012). Dysbiosis of Gut Microbiota (DOGMA) - A novel theory for the development of Polycystic Ovarian Syndrome. Med. Hypotheses 79, 104–112. doi: 10.1016/j.mehy.2012.04.016
Van de Wiele, T., Vanhaecke, L., Boeckaert, C., Peru, K., Headley, J., Verstraete, W., et al. (2005). Human colon microbiota transform polycyclic aromatic hydrocarbons to estrogenic metabolites. Environ. Health Perspect. 113, 6–10. doi: 10.1289/ehp.7259
Wang, D., Yan, J., Teng, M., Yan, S., Zhou, Z., and Zhu, W. (2018). In utero and lactational exposure to BDE-47 promotes obesity development in mouse offspring fed a high-fat diet: impaired lipid metabolism and intestinal dysbiosis. Arch. Toxicol. 92, 1847–1860. doi: 10.1007/s00204-018-2177-0
Wang, G., Chen, Q., Tian, P., Wang, L., Li, X., Lee, Y., et al. (2020). Gut microbiota dysbiosis might be responsible to different toxicity caused by Di-(2-ethylhexyl) phthalate exposure in murine rodents. Environ. Pollut. 261, 114164. doi: 10.1016/j.envpol.2020.114164
Wang, X., Shen, M., Zhou, J., and Jin, Y. (2019). Chlorpyrifos disturbs hepatic metabolism associated with oxidative stress and gut microbiota dysbiosis in adult zebrafish. Comp. Biochem. Physiol. C Toxicol. Pharmacol. 216, 19–28. doi: 10.1016/j.cbpc.2018.11.010
Xu, J., Huang, G., Nagy, T., Teng, Q., and Guo, T. L. (2019). Sex-dependent effects of bisphenol A on type 1 diabetes development in non-obese diabetic (n.d.) mice. Arch. Toxicol. 93, 997–1008. doi: 10.1007/s00204-018-2379-5
Xu, Z., and Knight, R. (2015). Dietary effects on human gut microbiome diversity. Br. J. Nutr. 113, S1–S5. doi: 10.1017/S0007114514004127
Yan, W., Hamid, N., Deng, S., Jia, P., and Pei, D. (2020). Individual and combined toxicogenetic effects of microplastics and heavy metals (Cd, Pb, and Zn) perturb gut microbiota homeostasis and gonadal development in marine medaka (Oryzias melastigma). J. Hazard Mater. 397, 122795. doi: 10.1016/j.jhazmat.2020.122795
Yang, H., Wang, W., Romano, K. A., Gu, M., Sanidad, K. Z., Kim, D., et al. (2018). A common antimicrobial additive increases colonic inflammation and colitis-associated colon tumorigenesis in mice. Sci. Transl. Med. 10:eaan4116. doi: 10.1126/scitranslmed.aan4116
Yang, Y., Yang, Y. S. H., Lin, I., Chen, Y., Lin, H., Wu, C., et al. (2019). Phthalate exposure alters gut microbiota composition and IgM vaccine response in human newborns. Food Chem. Toxicol. 132:110700. doi: 10.1016/j.fct.2019.110700
Yatsunenko, T., Rey, F. E., Manary, M. J., Trehan, I., Dominguez-Bello, M. G., Contreras, M., et al. (2012). Human gut microbiome viewed across age and geography. Nature 486, 222–227. doi: 10.1038/nature11053
Yuan, M., Li, D., Zhang, Z., Sun, H., An, M., and Wang, G. (2018). Endometriosis induces gut microbiota alterations in mice. Hum. Reprod. 33, 607–616. doi: 10.1093/humrep/dex372
Yuan, X., Pan, Z., Jin, C., Ni, Y., Fu, Z., and Jin, Y. (2019). Gut microbiota: an underestimated and unintended recipient for pesticide-induced toxicity. Chemosphere 227, 425–434. doi: 10.1016/j.chemosphere.2019.04.088
Yurkovetskiy, L., Burrows, M., Khan, A. A., Graham, L., Volchkov, P., Becker, L., et al. (2013). Gender Bias in Autoimmunity Is Influenced by Microbiota. Immunity 39, 400–412. doi: 10.1016/j.immuni.2013.08.013
Zhang, J., Sun, Z., Jiang, S., Bai, X., Ma, C., Peng, Q., et al. (2019). Probiotic Bifidobacterium lactis V9 Regulates the Secretion of Sex Hormones in Polycystic Ovary Syndrome Patients through the Gut-Brain Axis. mSystems 4:e00017-19. doi: 10.1128/mSystems.00017-19
Zhang, L., Day, A., McKenzie, G., and Mitchell, H. (2006). Nongastric Helicobacter Species detected in the intestinal tract of children. J. Clin. Microbiol. 44, 2276–2279. doi: 10.1128/JCM.02017-05
Zhang, M., and Yang, X. (2016). Effects of a high fat diet on intestinal microbiota and gastrointestinal diseases. World J. Gastroenterol. 22, 8905–8909. doi: 10.3748/wjg.v22.i40.8905
Zhang, Y., Li, Z., Kholodkevich, S., Sharov, A., Chen, C., Feng, Y., et al. (2020). Effects of cadmium on intestinal histology and microbiota in freshwater crayfish (Procambarus clarkii). Chemosphere 242:125105. doi: 10.1016/j.chemosphere.2019.125105
Zhao, Y., Zhou, C., Wu, C., Guo, X., Hu, G., Wu, Q., et al. (2020). Subchronic oral mercury caused intestinal injury and changed gut microbiota in mice. Sci. Total Environ. 721:137639. doi: 10.1016/j.scitotenv.2020.137639
Zheng, R., Chen, X., Ren, C., Teng, Y., Shen, Y., Wu, M., et al. (2020). Comparison of the characteristics of intestinal microbiota response in Bufo gargarizans tadpolesxposure to the different environmental chemicals (Cu, Cr, Cd and NO3-N). Chemosphere 247, 125925. doi: 10.1016/j.chemosphere.2020.125925
Zhou, C., Xu, P., Huang, C., Liu, G., Chen, S., Hu, G., et al. (2020). Effects of subchronic exposure of mercuric chloride on intestinal histology and microbiota in the cecum of chicken. Ecotoxicol. Environ. Saf. 188:109920. doi: 10.1016/j.ecoenv.2019.109920
Zhu, J., Liao, M., Yao, Z., Liang, W., Li, Q., Liu, J., et al. (2018). Breast cancer in postmenopausal women is associated with an altered gut metagenome. Microbiome 6:136. doi: 10.1186/s40168-018-0515-3
Zoeller, R. T., Bergman, A., Becher, G., Bjerregaard, P., Bomman, R., Brandt, I., et al. (2016). The path forward on endocrine disruptors requires focus on the basics. Toxicol. Sci. 149:272. doi: 10.1093/toxsci/kfv255
Keywords: microbiota, endocrine disrupting chemicals, endobolome, hormones, endocrine pathogenesis, microbiota disrupting chemicals
Citation: Aguilera M, Gálvez-Ontiveros Y and Rivas A (2020) Endobolome, a New Concept for Determining the Influence of Microbiota Disrupting Chemicals (MDC) in Relation to Specific Endocrine Pathogenesis. Front. Microbiol. 11:578007. doi: 10.3389/fmicb.2020.578007
Received: 01 July 2020; Accepted: 04 November 2020;
Published: 30 November 2020.
Edited by:Katia Sivieri, São Paulo State University, Brazil
Reviewed by:Nico Jehmlich, Helmholtz Centre for Environmental Research (UFZ), Germany
Natasa Golic, University of Belgrade, Serbia
Copyright © 2020 Aguilera, Gálvez-Ontiveros and Rivas. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yolanda Gálvez-Ontiveros, firstname.lastname@example.org