Systems biology and birth defects prevention: blockade of the glucocorticoid receptor prevents arsenic-induced birth defects.
OBJECTIVES: First, we applied a novel computational approach to identify a prioritized biological pathway that associates metals with birth defects. Second, in a laboratory setting, we sought to determine whether inhibition of the identified pathway prevents developmental defects.
METHODS: Seven environmental metals were selected for inclusion in the computational analysis: arsenic, cadmium, chromium, lead, mercury, nickel, and selenium. We used an in silico strategy to predict genes and pathways associated with both metal exposure and developmental defects. The most significant pathway was identified and tested using an in ovo whole chick embryo culture assay. We further evaluated the role of the pathway as a mediator of metal-induced toxicity using the in vitro midbrain micromass culture assay.
RESULTS: The glucocorticoid receptor pathway was computationally predicted to be a key mediator of multiple metal-induced birth defects. In the chick embryo model, structural malformations induced by inorganic arsenic (iAs) were prevented when signaling of the glucocorticoid receptor pathway was inhibited. Further, glucocorticoid receptor inhibition demonstrated partial to complete protection from both iAs- and cadmium-induced neurodevelopmental toxicity in vitro.
CONCLUSIONS: Our findings highlight a novel approach to computationally identify a targeted biological pathway for examining birth defects prevention.
KEY WORDS: birth defects, comparative toxicogenomic database, glucocorticoid receptor pathway, metals, systems biology. Environ Health Perspect 121:332-338 (2013). http://dx.doi.org/10.1289/ehp.1205659 [Online 3 January 2013]
Toxic metals are ubiquitous in the environment and are known to cause detrimental health effects. Exposure to toxic metals during the prenatal period is of particular concern, and exposure can occur as a result of diet, drinking water, airborne particles, consumer products, and certain occupational environments (Tabacova 1986). Evidence suggests that many toxic metals indeed cross the placental barrier (Al-Saleh et al. 2011; Casey and Robinson 1978; Concha et al. 1998; Guo et al. 2010; Rudge et al. 2009) and are thus likely to have a detrimental impact on the developing fetus.
The focus of the present study was to select seven high-priority toxic metals and/or metalloids on the basis of their presence in the environment and their known or suspected roles as developmental toxicants. The following metals were selected for study: cadmium (Cd), chromium (Cr), inorganic arsenic (iAs), lead (Pb), mercury (Hg), nickel (Ni), and selenium (Se). Four of these--Cd, Hg, iAs, and Pb--are ranked in the top 10 most hazardous substances by the Agency for Toxic Substances and Disease Registry (ATSDR 2010). Several of these metals have been associated with structural malformations and/or neural tube defects in animal models (Chaineau et al. 1990; Fernandez et al. 2004; Gilani and Marano 1980; Gruenwald 1958; Hovland et al. 1999; Messerle and Webster 1982; Tabocova et al. 1996; Thompson and Bannigan 2001). In addition to the toxicological data, several epidemiological studies have also examined the relationship between metal exposure and early life outcomes in infants. For example, prenatal exposure to iAs in drinking water has been associated with adverse pregnancy outcomes such as spontaneous abortion, stillbirth, preterm birth (Ahmad et al. 2001), and congenital malformations (Kwok et al. 2006; Zierler et al. 1988).
Clearly, there is public health concern surrounding environmental exposure-mediated birth defects, which is supported by both epidemiological and animal-based evidence. Still, the underlying pathophysiological mechanisms linking prenatal exposures to developmental disorders remain largely unknown. In the present study we set out to test the hypothesis that biological pathways that mediate metal-induced birth defects could be revealed by identifying common signaling pathways that integrate both metal- and development-associated genes. We applied a systems biology approach coupled with a teratogenic experimental strategy.
Specifically, the research framework included a) the identification of gene-contaminant relationships from a comparative toxicogenomics database; (b) the prediction of biological pathways associated with metals exposure and developmental disorders; and c) laboratory-based validation of the in silico pathway prediction. This novel computational approach was applied to the seven metals of interest and resulted in the prediction that the glucocorticoid receptor (GR) signaling pathway may be a key mediator that is highly associated with four of the selected metals: Cd, Hg, iAs, and Se. Focusing on this pathway, we used the in ovo chick embryo culture model to demonstrate that structural malformations induced by one of the metals, iAs, can be prevented through blockade of the GR signaling pathway. In addition, we used an in vitro micromass (MM) culture assay to demonstrate that neurodevelopmental toxicity induced by iAs and Cd was partially or completely prevented by blocking the pathway. Our results provide evidence for a novel systems biology strategy by which biological pathways can be predicted and subsequently tested to increase our understanding of pathophysiological mechanisms related to birth defects.
Materials and Methods
Identifying metal-associated genes. To identify genes known to be associated with the metals of study, we used the Comparative Toxicogenomics Database (CTD 2011; Davis et al. 2011). The CTD is a manually curated toxicogenomic database. At the time of analysis, it included > 178,000 interactions between 4,980 chemicals and 16,182 genes/proteins in 298 species. It contains 8,900 gene/protein-disease direct relationships and 5,600 chemical-disease relationships (CTD 2011; Davis et al. 2011). We used the CTD Batch Query tool (CTD 2011) to retrieve all curated chemical-gene/protein interactions for each of the seven selected metals: Cd, Cr, Hg, iAs, Ni, Pb, and Se. In addition, the CTD was used to identify genes/proteins associated with phenytoin, a well-known human teratogen (Buehler et al. 1990), which served as a positive control for the in ovo experiments.
Identifying metal-associated genes with roles in development. Once metal-associated genes/proteins were identified using the CTD database, we performed biological function enrichment analysis using Ingenuity Pathway Analysis (IPA) software (Ingenuity Systems, Redwood City, CA). Specifically, genes with known involvement in embryonic development and developmental disorders were identified and referred to as "development" associated.
Predicting pathways involved in metal-induced developmental disorders. Molecular networks related to metal-associated genes involved in development were identified using IPA. This knowledge database provides a collection of gene-to-phenotype associations, molecular interactions, regulatory events, and chemical knowledge accumulated to develop a global molecular network. In IPA, metal-associated genes were mapped to their global molecular networks, and networks integrating proteins encoded by the metal- and development-associated genes were algorithmically generated based on their connectivity. Pathway enrichment analysis was performed to identify canonical pathways significantly associated with constructed networks. Statistical significance of each constructed network was evaluated using Fisher's exact test.
In ovo whole chick embryo culture. The most significant canonical pathway identified through network analysis was ranked and validated for its involvement in embryonic development using the chick embryo model. Specifically, we used in ovo whole chick embryo culture assay, a well-established model for teratogenicity assessment (Kucera et al. 1993), to test the computational prediction that the GR signaling pathway is involved in metal-induced developmental disorders. All experimental procedures were conducted on embryos < 10 days of age and thus were exempt from oversight by the University of North Carolina Institutional Animal Care and Use Committee. We obtained fertilized white leghorn chicken eggs from Charles River Laboratories (North Franklin, CT, USA). Eggs were randomly selected and divided into seven different treatment groups immediately before incubation. The treatment groups were as follows: control [phosphate-buffered saline (PBS) only]; vehicle control (0.1% ethanol); phenytoin, a positive control for neural tube defects (Fisher Scientific); iAs as sodium arsenite ([iAs.sup.3+]; Sigma-Aldrich, St. Louis, MO); cortexolone, a GR inhibitor (Fisher Scientific); phenytoin plus cortexolone; and [iAs.sup.3+] plus cortexolone. We selected the concentration of cortexolone on the basis of previous studies (Harlow et al. 1987; Turnell et al. 1974).
Ten to 12 embryos were examined per treatment group in four independent biological replicates. Eggs were incubated at 100[degree]F at a relative humidity of 55%, with the day on which the eggs were incubated counted as day 0. The eggs were dosed on day 3 of incubation. First, the eggs were swabbed with 70% ethanol and the blunt end of the eggs was stuck with forceps to make a small hole, following an established protocol (Kucera et al. 1993; Memon and Pratten 2009). Eggs were injected with 100 [micro]L of either PBS alone, vehicle (0.1% ethanol), phenytoin (400 [micro]M), [iAs.sup.3+] (0.1 [micro]M, or 7.5 ppb), cortexolone (2 [micro]M), phenytoin plus cortexolone, or [iAs.sup.3+] plus cortexolone, and then incubated until day 6. On day 6, embryos were removed and analyzed for gross malformations and scored according to established morphological scoring criteria (described by Memon and Pratten 2009) [see Supplemental Material, Table S1 (http://dx.doi.org/10.1289/ehp.1205659)]. Only viable embryos, defined by the presence of a beating heart and visibly circulating blood in the embryo and yolk sac, were included and assigned morphological scores. Crown-rump length was taken as a measure of embryo growth.
Supplemental Material, Table S1: Morphological scoring system based on Hamburger & Hamilton staging system (Hamburger and Hamilton 1951) (adapted and modified from Memon and Pratten 2009). Embryonic 0 1 2 3 feature Vitelline No visible 2-3 5-6 large Extensive network circulation vessels vessels vitelline of vessels vessels Flexion None Cranial Trunk Trunk rotation flexure rotation in and tail bud visible addition to rotation visible cranial flexion visible Heart No Paired Beating Atrioventricular beating heart heart bent canal and primordia to right ventricular loop Brain Primitive Neural Brain Telencephalon streak folds vesicle, enlarged, visible Anterior Forebrain forms neuropore right angle with closed hindbrain Gross Facial None Primary Optic Optic cup Deformities optic vesicles completely formed vesicles constricted on one side at base Limbs None None None Digits and toes visible Embryonic 4 feature Vitelline Entire circulation vitelline membrane well supplied Flexion Cranial flexure, trunk rotation and tail bud bending visible Heart Four-chambered appearance Brain Enlarged and transparent, Forebrain parallel to hindbrain Gross Facial Optic cup Deformities completely formed on both sides + beak is fully formed Limbs Digits and toes visible on both sides
Data were analyzed using Graphpad Prism 5 software (Graphpad Software Inc., San Diego, CA). To assess the morphological scoring criteria (vitelline circulation, flexion, heart, brain, gross facial deformities, and limbs) between exposure groups, we used Kruskal-Wallis one-way analysis of variance (ANOVA) followed by Mann-Whitney U-test for non-parametric data. The statistical process was carried out as described by Hewitt et al. (2005). The means [+or-] SEs of the morphological scores were determined for the four independent experiments. Embryo growth, as measured by crown-rump length, was analyzed using parametric statistical tests (ANOVA followed by Dunnett's post hoc test). Statistical significance was set at p < 0.05.
Quantitative reverse-transcription poly-merase chain reaction (qRT-PCR). We assessed the gene expression levels of two transcription factors, NF-kB1 (nuclear factor kappa B1) and AP1 (activating protein 1). AP1 comprises c-FOS and c-JUN, and these genes were assessed relative to glyceraldehyde 3-phosphate dehydrogenase (GAPDH) using qRT-PCR; primer sequences are shown in Supplemental Material, Table S2 (http://dx.doi.org/10.1289/ehp.1205659). Total RNA was isolated from the whole head regions of treated and untreated embryos (n = 3 embryos/group) using an RNeasy[R] Mini Kit (QIAGEN, Valencia, CA). RNA was quantified with the NanoDrop [TM] 1000 Spectrophotometer (Thermo Scientific, Waltham, MA), and integrity was verified with a model 2100 bioanalyzer (Agilent Technologies, Santa Clara, CA). Fold changes between the treatment group and the control group were calculated using delta-delta cycle threshold ([delta][delta]Ct) values and normalized with GAPDH as a housekeeping gene. Statistical significance of the transcript levels between treatment groups versus the control group was calculated using an unpaired t-test.
Supplemental Material, Table S2: List of primers for quantitative real-time RT-PCR analysis. mRNA Target Primer sequence GAPDH F 5'-AGTCCAAGTGGTGGCCATCAATG-3' R 5'-TTAGCACCACCCTTCAGATGAGC-3' c-FOS F 5'-CATCTGTGAGAGCTGGTAGTCT-3' R 5'-CCAGCACCAGGTTAATTCCAATCA-3' c-JUN F 5'-TGACTGGAAAGATGGAAACG-3' R 5'-CCGTTGCTGGACTGGATTAT-3' NF-kBI F 5'-GAAGGAATCGTACCGGGAACA-3' R 5'-CTCAGAGGGCCTTGTGACAGTAA-3'
Chick embryo midbrain micromass (MM) culture in vitro assay. We further evaluated the role of the GR pathway as a mediator of metal-induced neurodevelopmental toxicity using the in vitro chick embryo MM culture assay. The midbrain MM culture assay is a well-accepted method to screen for developmental toxicity of compounds, and was performed according to previously established protocols (Flint and Orton 1984; L'Huillier et al. 2002). Midbrains were removed from chick embryos on day 6 and trypsinized to prepare single-cell suspensions in Ham's F12 culture medium containing 10% fetal calf serum, 200 mM L-glutamine, penicillin (50 units/mL), and streptomycin (50 [micro]g/mL). Cell density was estimated using a hemocytometer and adjusted to 1 x [10.sup.6] cells/mL. A total of 10 [micro]L of the cell suspension was pipetted into the center of a collagen-coated well in a 96-well culture plate. After 24 hr, midbrain MM cultures were treated with [iAs.sup.3+] (1, 2, or 5 [micro]M), Cd as [CdCl.sub.2] (1, 2, 5, or 8 [micro]M), phenytoin (100 [micro]M), cortexolone (2 [micro]M), cortexolone plus [iAs.sup.3+], cortexolone plus [CdCl.sub.2], cortexolone plus phenytoin. The assay included positive and negative controls for cytotoxicity, namely, 5 -fluorouracil (5-Fu) and penicillin G (PenG), respectively. Midbrain MM culture cytotoxicity was measured after 5 days in culture using the one-step resazurin reduction assay (O'Brien et al. 2000). Optical density was measured on a Synergy[TM] HT Multi-Mode Microplate Reader (BioTek, Winooski, VT), with an excitation filter 530 [+or-] 25 nm and emission filter 590 [+or-] 35nm indicating cell viability and metabolic activity. Statistical analysis was performed using Graphpad Prism 5 software. We used Student's t-test for comparison between two groups and one-way ANOVA followed by an appropriate post hoc test (e.g., Dunnett or Bonferroni) for comparisons among groups. A p-value < 0.05 was considered statistically significant.
We used a novel approach to identify biological pathways that may mediate environmentally induced birth defects. Specifically, our strategy involved using the CTD to identify genes associated with environmental metals, filtering these genes for biological function related to birth defects and development, and examining the genes for known biological interactions in the cell [see Supplemental Material, Figure S1 (http://dx.doi.org/10.1289/ehp.1205659)].
Metal- and development-associated genes identified. The in silico approach first involved the identification of genes associated with seven metals: Cd, Cr, Hg, iAs, Ni, Pb, and Se. Genes with known association to the metals of interest were identified using the CTD [see Supplemental Material, Table S3 (http://dx.doi.org/10.1289/ehp.1205659)]. The CTD contains data on broad relationships between genes and environmental toxicants (we queried for metals), known effects of toxicants on gene expression, and genes encoding proteins that have altered metal-associated changes in protein abundance and protein activity. Thus, all genes identified had a known relationship with at least one of the seven metals: Cd (n = 518 genes), Cr (n = 175 genes), Hg (n = 334 genes), iAs ( n = 1,880 genes), Ni (n = 637 genes), Pb (n = 774 genes), and Se (n = 1,616 genes) (see Supplemental Material, Tables S3 and S4). In addition, genes associated with phenytoin, a known teratogen, were identified as a positive control (n = 138) (see Supplemental Material, Tables S3 andS4).
Supplemental Material, Table S3: Selected metals of study. Selected Metal CAS Registry CTD Development-associated Exposure Number Genes (#) Genes (#) (a) Metal Arsenic 13768-07-5 1880 604 ([iAs.sup.3+]) Cadmium 10108-64-2 518 167 (Cd[Cl.sub.2]) Chromium (Cr) 7440-47-3 175 76 Lead (Pb) 7439-92-1 774 114 Mercury (Hg) 7439-97-6 334 104 Nickel (Ni) 7440-02-0 637 228 Selenium (Se) 7782-49-2 1616 370 (b) Positive Control Phenytoin (PHT) 57-41-0 138 79
The lists of metal-associated genes were subsequently filtered for genes/proteins with known relationships to organismal development and birth defects. Specifically, we performed biological function enrichment analysis; genes related to either "embryonic development" or "developmental disorders" were identified and extracted from the lists. The resultant numbers of genes that were identified as both metal- and development-associated ranged from 76 for Cr to 604 for iAs [see Supplemental Material, Tables S3 and S5 (http://dx.doi.org/10.1289/ehp.1205659)].
Predicting pathways influencing metal-induced developmental disorders. Biological pathways that were enriched among the metal- and development-associated genes were algorithmically constructed. For each of the metals and for phenytoin, we selected the highest ranking (e.g., top five) canonical pathways. Because of some overlap, this resulted in a total of 22 unique canonical pathways [Figure 1; for a complete list of all top-ranking pathways and their p-values, see Supplemental, Table S6 (http://dx.doi.org/10.1289/ehp.1205659)]. The pathway analysis revealed that, in general, distinct pathways were highly enriched among genes associated with each of the metals (Figure 1). Still, many of the pathways were enriched between two or more metals. The GR signaling pathway was a high ranking canonical pathway for Cd, Hg, iAs, and Se. Notably, this indicates that genes associated with these four metal- and development-associated genes commonly mapped to the GR signaling pathway. Networks associated with phenytoin, a known teratogen, also showed significant enrichment for biological pathways that over-lapped with those associated with metal exposure, including the GR signaling pathway. Other pathways of interest were identified as being related to the metal- and development-associated genes, such as the aryl hydrocarbon receptor (AHR) pathway identified for Cr and phenytoin (Figure 1).
To further establish environmental exposure-mediated network interactions, we performed a subsequent analysis using a combined list of all the metal- and development-associated genes together (n = 855 genes). Within the resulting metal-associated networks, the GR signaling pathway was the most significantly (p < [10.sup.-6]) enriched pathway [see Supplemental Material, Figure S2 (http://dx.doi.org/10.1289/ehp.1205659)]. Many of the genes that encode proteins involved in the canonical GR signaling pathway have known association with numerous metals as defined in the CTD. For example, NF-kB1, a protein involved in the GR signaling pathway, has a known relationship to six of the seven metals (CTD 2011). Likewise, AP1 (composed of c-FOS and c-JUN) and c-JUN N-terminal kinase (JNK) are also associated with multiple metals (CTD 2011) (see Supplemental Material, Figure S2).
Validation of computational prediction by the embryo culture assay. Given the computational analysis predicting association of Cd, Hg, iAs, and Se with the GR signaling pathway, we set out to validate the findings using an in ovo whole chick embryo culture assay. Our hypothesis was that the GR mediates metal-induced developmental defects. iAs was prioritized for testing, and results were compared to those of phenytoin, a GR-dependent teratogen (Kay et al. 1990). A total of 10-12 embryos per treatment group were examined in four independent biological replicates.
Phenytoin, the positive teratogenic control, induced malformations in 56% of the embryos, and iAs induced malformations in 59% (Table 1). No phenotypic abnormalities were observed in embryos treated with PBS or the vehicle control (Figure 2A, Table 1). For phenytoin and iAs, observed morphological defects included abnormalities in the head fold region, microcephaly, anterior neural tube defects, and gross facial deformities (Figure 2B, C). The craniofacial defects included altered optic and beak development and malformed facial arches. The in ovo exposures of chick embryos to iAs and phenytoin also induced lethality in 24% of the embryos (Table 1).
Table 1. Frequency of abnormal embryos. Embryo Dead Surviving Normal Abnormal Treatment explants embryos embryos [n(%)] [n (%)] group (n) (n) (n) Control 42 1 41 41 0 (100) Vehicle 42 3 39 39 0 (100) Phenytoin 42 10 32 14 18 (56) (44) iAs 42 10 32 13 19 (59) (41) Cortexolone 42 2 40 40 0 (100) Phenytoin 42 8 34 34 0 plus (100) cortexolone iAs plus 42 5 37 37 0 cortexolone (100)
To specifically test the in silico prediction that the GR signaling pathway mediates the occurrence of structural birth defects caused by iAs, the GR pathway was blocked using the inhibitor cortexolone. Embryos exposed to cortexolone alone or to phenytoin plus cortexolone had no gross structural malformation and developed normally (Figure 2D, E, Table 1). Suprisingly, embryos exposed to iAs plus cortexolone showed no gross structural malformations and displayed normal growth parameters (Figure 2F, Table 1).
Embryo growth (crown-rump length) was significantly (p < 0.05) decreased in phenytoin-exposed and iAs-exposed embryos compared with controls, whereas cortexolone-treated embryos developed normally and were comparable to the control group (Figure 3A). In addition, statistical analyses of other morphological scoring criteria showed a significant difference (p < 0.05) between iAs or phenytoin and the control groups for vitelline circulation, flexion of the embryo, brain development, and craniofacial development (Figure 3B-E). No gross malformations were detected in heart or limbs for any treatment group [see Supplemental Material, Figure S3A, B (http://dx.doi.org/10.1289/ehp.1205659)].
Crown-rump length Control Vehicle control 400 [micro]M PHT ** 0.1 [micro]M [iAs.sup.3+] ** 2 [micro]M CX 4,000 [micro]M PHT + 2 [micro]M CX 0.1 [micro]M [iAs.sup.3+] + 2 [micro]M CX Vitelline circulation Control Vehicle control 400 [micro]M PHT * 0.1 [micro]M [iAs.sup.3+] * 2 [micro]M CX 4,000 [micro]M PHT + 2 [micro]M CX 0.1 [micro]M [iAs.sup.3+] + 2 [micro]M CX Flexion Control Vehicle control 400 [micro]M PHT * 0.1 [micro]M [iAs.sup.3+] * 2 [micro]M CX 4,000 [micro]M PHT + 2 [micro]M CX 0.1 [micro]M [iAs.sup.3+] + 2 [micro]M CX Brain Control Vehicle control 400 [micro]M PHT * 0.1 [micro]M [iAs.sup.3+] * 2 [micro]M CX 4,000 [micro]M PHT + 2 [micro]M CX 0.1 [micro]M [iAs.sup.3+] + 2 [micro]M CX Gross facial deformities Control Vehicle control 400 [micro]M PHT * 0.1 [micro]M [iAs.sup.3+] * 2 [micro]M CX 4,000 [micro]M PHT + 2 [micro]M CX 0.1 [micro]M [iAs.sup.3+] + 2 [micro]M CX Control 2 [micro]M CX 1 [micro]M [iAs.sup.3+] ** 2 [micro]M [iAs.sup.3+] # 5 [micro]M [iAs.sup.3+] 1 [micro]M [iAs.sup.3+] + 2 [micro]M CX 2 [micro]M [iAs.sup.3+] + 2 [micro]M CX ## 5 [micro]M [iAs.sup.3+] + 2 [micro]M CX ### 1 [micro]M Cd 2 [micro]M Cd 5 [micro]M Cd ** 8 [micro]M Cd # 2 [micro]M Cd + 2 [micro]M CX 5 [micro]M Cd + 2 [micro]M CX ## 8 [micro]M Cd + 2 [micro]M CX ## 100 [micro]M PHT 100 [micro]M PHT + 2 [micro]M CX 1 [micro]M 5-Fu 5 [micro]M 5-Fu 8 [micro]M 5-Fu ** 500 [micro]M PenG Figure 3. Embryonic growth, morphological scores, and toxicity of chemical compounds in whole chick embryos cultured in ovo (incubation day 3-6). Crown-rump length (A), vitelline circulation (B), flexion (C), brain (D), and gross facial deformities (E) of embryos treated with PBS (control), vehicle control (0.1% ethanol), phenytoin (PHT), [iAs.sup.3+], cortexolone (CX), PHT plus CX, or [iAs.sup.3+] plus CX. (F) Effects of [iAs.sup.3+] and Cd (Cd[Cl.sub.2]) on cell viability of midbrain MM cultures 5 days after exposure; positive and negative controls for cytotoxicity were 5-Fu and PenG, respectively. Data represent the means [+ or -] SEs from four independent experiments (n = 4). * p < 0.05, ** p < 0.01, and # p < 0.001 compared with control and vehicle groups. ## p < 0.05 compared with 2 and 5 [micro]M [iAs.sup.3+] alone or 5 and 8 [micro]M Cd alone. Note: Table made from bar graph.
Mediation of iAs-induced gene expression changes by GR. To validate that iAs influences gene expression via the GR pathway in the developing chick, we performed qRT-PCR. We assessed the expression levels of two transcription factors, NF-kB1 and AP1, in the head regions of the embryos. NF-kB1 (fold change = 3.85) and c-FOS (fold change = 5.66) were up-regulated in embryos treated with iAs (0.1 [micro]M) [see Supplemental Material, Figure S4A, B (http://dx.doi.org/10.1289/ehp.1205659)]. Embryos treated with iAs plus cortexolone showed restored levels of NF-kB1 (p < 0.01) and c-FOS (p < 0.05) (see Supplemental Material, Figure S4A, B). In phenytoin-treated embryos, gene expression levels of NF-kB1 and c-JUN were not significantly changed, but c-FOS expression was increased. Surprisingly, cortexolone did not block the effects of phenytoin on the expression level of c-FOS. These results suggest that other genes/proteins in the GR signaling pathway may influence phenytoin and cortexolone and their interactions in this model system. The increased c-JUN expression level was not statistically significant in any of the treatment groups (see Supplemental Material, Figure S4C).
Control 2[micro]M CX 400[micro]M PHT 400[micro]M PHT + 2[micro]M CX *** 0.1[micro]M [iAs.sup.3+] ** 0.1[micro]M [iAs.sup.3+] + 2[micro]M CX ** Control 2[micro]M CX 400[micro]M PHT * 400[micro]M PHT + 2[micro]M CX *** 0.1[micro]M [iAs.sup.3+] ** 0.1[micro]M [iAs.sup.3+] + 2[micro]M CX * Control 2[micro]M CX 400[micro]M PHT 400[micro]M PHT + 2[micro]M CX 0.1[micro]M [iAs.sup.3+] 0.1[micro]M [iAs.sup.3+] + 2[micro]M CX Supplemental Material, Figure S4: Quantitative real time PCR (q-RT-PCR) gene expression analysis of NF-[kappa]B1 and AP1 (comprised of c-FOS and c-JUN). Q-RT-PCR analysis for genes expression changes in chick embryo cultured in ovo exposed to inorganic arsenic (sodium arsenite) (incubation day 3-6) for (A) NF-[kappa]B1, (B) AP1 (c-FOS), and (C) AP1 (c-JUN). q-RT-PCR results displaying fold change gene expression (mean[+ or -]S.E., n=3 embryos/group). p-values were calculated between exposure groups and control, or between exposure groups with or without cortexolone and are : * p<0.05, ** p<0.01, or *** p<0.001 compared with control. Abbreviations: Phenytoin (PHT); inorganic arsenic ([iAs.sup.3+]); Cortexolone (CX). Note: Table made from bar graph.
Mediation of iAs and Cd-induced neuro-developmental toxicity by the GR pathway. The GR pathway was predicted to mediate the response to Cd, Hg, iAs, and Se. Thus, as a further test of the role of the GR in mediating metal-induced neurodevelopmental toxicity, we chose to test Cd as well as iAs. Embryonic chick midbrain MM cultures were exposed to iAs (1-5 [micro]M), Cd (1-8 [micro]M), phenytoin (100 [micro]M), or cortexolone (2 [micro]M). We used 5-Fu and PenG, respectively, as positive and negative controls for cytotoxicity. The 8 [micro]M concentration of 5-Fu resulted in a significant (p < 0.01) reduction in cytotoxicity (Figure 3F). This suggests that differentiating midbrain MM cultures were susceptible to the toxic effects of 5-Fu at this concentration. As expected, PenG was not cytotoxic to the mid-brain MM cultures. Exposure of the cultures to phenytoin or phenytoin plus cortexolone did not result in any cytotoxicity. This is consistent with the results of Regan et al. (1990), who observed no cytotoxic effects in primary neuronal cells treated with this concentration of phenytoin. We observed a significant decrease in the viability of embryonic midbrain cells treated with 2 and 5 [micro]M iAs or 5 and 8 [micro]M Cd (Figure 3F). Cortexolone-treated cells, with inhibited signaling of the GR pathway, were protected from cytotoxicity induced by 2 [micro]M iAs. At the highest iAs concentration (5 [micro]M), midbrain MM cultures were partially protected from iAs-induced cytotoxicity. Cortexolone completely protected the midbrain cells from the cytotoxic effects of Cd (Figure 3F).
Congenital malformations are the leading cause of infant mortality. An estimated 120,000 infants are born with severe congenital mal-formations each year in the United States (Brent 2004). Of all the congenital mal-formations, 60-70% are caused by unknown environmental and/or genetic causes (Moore and Persaud 1998). Thus, there is a need for effective methods to identify biological pathways that are pathophysiologically related to birth defects. There is great promise that systems biology can be used to identify biological pathways that relate environmental contaminants with human development/diseases (Chuang et al. 2010) and birth defects (Sperling 2011).
In the present study, we developed an in silico strategy to aid in the understanding of metal-induced birth defects. To investigate the relationship between metal exposures and birth defects, we applied this novel approach whereby genes associated with seven selected metals were identified using the CTD. To identify genes with any known relationship to birth defects, the CTD-retrieved gene/protein data sets were then filtered for only those genes with known associations to embryonic development or developmental disorders. Biological pathways associated with developmental disorders were further elucidated using a systems-level analysis.
Although other studies have used the CTD to identify metal-perturbed pathways (Davis et al. 2008; Mattingly et al. 2009), we introduced a health outcome filter to enrich for relationships to structural birth defects that may result from exposure to toxic metals. The metal- and development-associated genes were highly enriched for 22 canonical pathways, many of which were common to multiple metals. For example, the GR signaling pathway was identified as a top ranking pathway for Cd, Hg, iAs, and Se. In addition, the GR pathway was also generally enriched in the genes/proteins identified for Cr, Ni, and Pb. This finding is supported by other reports that metals, including Cd, Cr, Hg, iAs, Pb, and Se, influence signaling of the GR signaling pathway (Webster Marketon and Sternberg 2010). Although these metals have been shown to be associated with the GR, the role of this pathway in mediating metal-induced developmental defects is understudied. In addition to the GR pathway, other pathways, such as that mediated by AHR, were significantly enriched for Cr and for phenytoin. These findings suggest other biological pathways that warrant future follow-up. These results may also provide a means by which biological pathways that mediate the developmental defects of metals are prioritized for study.
In general, structural birth defects are believed to result from complex mechanisms, including multiple genes and signaling pathways (Mitchell 2005). The GR pathway exemplifies this complexity and is composed of pro-inflammatory cytokines, enzymes, cell adhesion molecules, and transcription factors such as NF-kB1 and AP1. Our results show that many of the genes/proteins involved in the GR pathway are enriched for interactions of two or more of the metals. For example, NF-kB1 is associated with Cd, Hg, iAs, Ni, Pb, and Se (CTD 2011).
We postulated that the GR signaling pathway may be a biological pathway that associates metals with resultant structural birth defects. To test this computational prediction, we prioritized one of the selected study metals for testing using the whole chick embryo culture in ovo model. We selected iAs for further investigation because it is a well-established developmental toxicant and is listed as the highest priority hazardous substance by the ATSDR (2010). iAs can readily cross the human placenta and accumulate in fetal neuroepithelium junction, thereby plausibly inducing various developmental defects (Wlodarczyk et al. 1996, 2006).
In the present study, we observed that low levels of iAs (0.1 [micro]M, or 7.5 ppb) induced structural birth defects including microcephaly, anterior neural tube defects (anencephaly), and gross craniofacial defects in the chick embryo. These results are similar to those from previous studies that showed iAs-induced structural malformations in the chick (Han et al. 2011) and mouse embryo models (Chaineau et al. 1990; Tabocova et al. 1996). The iAs-induced malformations in mouse have also been shown to be associated with systems-level changes in gene expression (Robinson et al. 2011).
Although strong evidence demonstrates the teratogenic effects of iAs in animal models, debate remains as to the effects on human congenital malformation (DeSesso 2001; Golub et al. 1998; Holson et al. 2000). Potential epidemiologic associations relating iAs with birth defects have been reported in human populations (Kwok et al. 2006; Zierler et al. 1988). For example, iAs-associated low birth weight has been previously demonstrated in human populations (Hopenhayn et al. 2003). The iAs concentration used in the present study is within the 10 ppb (0.13 [micro]M) maximum allowable level of arsenic in U.S. public drinking water supplies (U.S. Environmental Protection Agency 2012).
The mechanism by which iAs induces structural birth defects in animal models is largely unknown. Given the results of our computational analyses, we postulated that iAs may induce birth defects via the GR signaling pathway. To test this, we used the known GR inhibitor cortexolone. Cortexolone binds to the GR and leads to an altered conformational form of the GR complex, which is then transported into the nucleus (Kaiser et al. 1972). We observed that blockade of the GR pathway indeed prevents the iAs-induced craniofacial and neural tube defects. Others have reported that cortexolone successfully reduces the occurrence of phenytoin-induced birth defects in mouse embryos (Kay et al. 1990). Cortexolone also prevents GR-mediated teratogenicity (e.g., cleft palate, limb defects) in chick embryos (Jelinek et al. 1983; Pavlik et al. 1986). To our knowledge, no previous studies have examined GR blockade as a means for prevention of metal-induced birth defects.
Our results show a relationship among iAs, birth defects, and the GR pathway. iAs has a biphasic effect on GR function and disrupts GR-mediated transcription in a complex fashion. Specifically, very low doses of iAs (e.g., 0.01 [micro]M, or 0.7 ppb) have been shown to alter the function of the GR as a transcription factor, enhancing GC induction of endogenous GR-regulated genes (Bodwell et al. 2004; Davey et al. 2007; Kaltreider et al. 2001). Studies have also shown that low doses of iAs (e.g., 0.1 [micro]M, or 7.5 ppb) can interfere with hormone receptor binding and can act as a potent endocrine disruptor of hormone-mediated gene transcription by the GR (Bodwell et al. 2004, 2006; Davey et al. 2007; Kaltreider et al. 2001). Furthermore, iAs causes altered signaling via oxidative stress induction, which can damage DNA in cells by turning on heat shock protein production (Hughes 2002). Through these mechanisms, iAs may activate GR-mediated gene transcription. Several studies have demonstrated that iAs enhances NF-kB1 and AP1 DNA binding and induces stress responsive transcription factors that may play important roles in iAs-induced signal transduction, cell transformation, and apoptosis (Dong 2002; Drobna et al. 2003; reviewed by Zeng et al. 2005). In the present study, we examined the expression levels of GR-mediated NF-kB1 and AP1 and found that iAs increased their expression levels in the head region of the deformed chick. Their expression levels were muted in the presence of cortexolone, indicating that iAs influences the expression of these genes via the GR pathway. It is important to note that phenytoin, the GR-specific control, failed to impact the expression of NF-kB1, with only c-FOS showing a statistically significant change. These data suggest complex signaling responses to phenytoin that may act on other genes within the GR pathway.
GC-associated effects are mediated through the GR. Several possible mechanisms can cause the disruption of the GR signaling pathway, such as excessive amounts of GCs leading to intrauterine growth retardation and low birth weight (Drake et al. 2007). In the fetus, unmetabolized GCs appear to function as the active teratogenic agent (Goldman et al. 1978; Pratt 1985). GCs can also influence glycolysis via a GR-mediated mechanism (Loiseau et al. 1985). Evidence suggests that GC teratogenicity is a result of direct action on the embryo, which triggers a characteristic pattern of dysmorphogenesis via the biochemical and GC-mediated anti-inflammatory pathway (Kay et al. 1990; Pratt 1985).
The in silico results presented here indicate that not only iAs but other metals, such as Cd, may also act through the GR. To examine the links between the GR pathway and these two separate metals, we further assessed the toxicity of iAs or Cd in midbrain MM culture, an established method to assess the effects of developmental toxicants (L'Huillier et al. 2002). The results demonstrate that inhibition of GR signaling partially protected against iAs-induced cytotoxicity at the highest dose, while complete protection was observed at the lower doses. GR blockade completely protected against Cd-induced cellular toxicity. These data support the prediction that metals other than iAs also act via the GR pathway. Taken together, the results from this study show that iAs-induced structural birth defects are dependent on signaling through the GR pathway (Figure 4). These findings highlight an in silico method useful for the selection of a targeted biological pathway to test for birth defects prevention. The results suggest a plausible pathophysiological mechanism by which iAs alters the GR pathway to ultimately cause birth defects.
We used a systems biology-based computational approach to determine that the GR pathway is a highly enriched pathway integrating a panel of metals (e.g., Cd, Hg, iAs, Se) with birth defect-associated genes. On the basis of the computational prediction, we used a GR inhibitor to demonstrate that iAs-induced structural malformations can be prevented in the chick embryo model. In addition, iAs- and Cd-induced neurodevelopmental toxicity were partially or completely protected via GR pathway inhibition assessed using the midbrain MM culture assay. Thus, these results illustrate the potential use of systems biology-based predictions in teratology and developmental toxicology research. We anticipate that this novel strategy can be employed to predict other biological pathways that mediate environmentally induced birth defects. Moreover, as applied to environmental metals, this type of cost-effective approach could be applied to a wide range of other environmental contaminants. These data provide novel information that may be useful in the prevention and treatment of metal-induced birth defects.
Systems Biology and Birth Defects Prevention: Blockade of the Glucocorticoid Receptor Prevents Arsenic-Induced Birth Defects
Supplemental Material TABLE OF CONTENTS Supplemental Material, Figure S1: An in silico approach was used 03 to predict biological pathways influencingmetal-associated development Supplemental Material, Figure S2: The glucocorticoid receptor 04 (GR) signaling pathway is most significant canonical pathway that associates metal exposure with birth defects Supplementary Material, Figure S3: Morphological scores and 05 embryonic growth Supplementary Material, Figure S4: Quantitative real time PCR 06 gene expression analysis NF-kBI and API Supplemental Material, Table S1: Morphological scoring based on 07 Hamburger & Hamiltc staging system Supplemental Material, Table S2: List of primers for quantitative 08 real-time RT-PCR analysis Supplemental Material, Table S3: Selected metals of study 09 Supplemental Material, Table S4: The CTD curated 10 metal-interacting genes and proteins (See Separate Excel file) Supplemental Material, Table S5: The genes that were identified 11 as metal-associated and involved in development. (See Separate Excel file) Supplemental Material, Table S6:p-values of the enrichment of the 12 top five canonical pathways associated with each designated metal and phenytoin (See Separate Excel file) REFERENCES 13
Supplemental Material, Table S4: The CTD curated metal-interacting genes/proteins. Please see separate Excel file "12-05659-ART_Supplemental_Material_Table_S4"
Supplemental Material, Table S5: The genes that were identified as metal-associated and involved in development.
Please see separate Excel file "12-05659-ART_Supplemental_Material_Table_S5"
Supplemental Material, Table S6: p-values of the enrichment of the top five canonical pathways associated with each designated metal and phenytoin.
Please see separate Excel file "12-05659-ART_Supplemental_Material_Table_S6"
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Bhavesh K. Ahir, Alison P. Sanders, Julia E. Rager, and Rebecca C. Fry
Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
Address correspondence to R.C. Fry, Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, 135 Dauer Dr., CB 7431, University of North Carolina, Chapel Hill, NC 27599 USA. Telephone: (919) 843-6864. E-mail: firstname.lastname@example.org
Supplemental Material is available online (http://dx.doi.org/10.1289/ehp.1205659).
We thank A.F. Olshan for helpful discussions and review of the manuscript.
This research was supported in part by grants from the National Institute of Environmental Health Sciences (T32-ES007018, P42-ES005948, ES019315, and P30-ES01026).
The authors declare they have no actual or potential competing financial interests.
Received 22 June 2012; accepted 21 December 2012.
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|Author:||Ahir, Bhavesh K.; Sanders, Alison P.; Rager, Julia E.; Fry, Rebecca C.|
|Publication:||Environmental Health Perspectives|
|Date:||Mar 1, 2013|
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