Translational toxicology: a developmental focus for integrated research strategies
© Hughes et al.; licensee BioMed Central Ltd. 2013
Received: 8 May 2013
Accepted: 23 September 2013
Published: 30 September 2013
Given that toxicology studies the potential adverse effects of environmental exposures on various forms of life and that clinical toxicology typically focuses on human health effects, what can and should the relatively new term of "translational toxicology" be taken to mean?
Our assertion is that the core concept of translational toxicology must incorporate existing principles of toxicology and epidemiology, but be driven by the aim of developing safe and effective interventions beyond simple reduction or avoidance of exposure to prevent, mitigate or reverse adverse human health effects of exposures.
Assessing human exposures in critical windows across the lifespan
Defining modes of action and relevance of data from animal models
Use of mathematical models to develop plausible predictions as the basis for
Protective and restorative human health interventions.
The discussion focuses on the critical window of in-utero development.
Exposure assessment, basic toxicology and development of certain categories of mathematical models are not new areas of research; however overtly integrating these in order to conceive, assess and validate effective interventions to mitigate or reverse adverse effects of environmental exposures is our novel opportunity. This is what we should do in translational toxicology so that we have a portfolio of interventional options to improve human health that include both minimizing exposures and specific preventative/restorative/mitigative therapeutics.
KeywordsTranslational toxicology Environmental health Biomarkers
In the current genomics era, gene-environment interactions provide the key to understanding health and disease. Human exposures to chemicals, physical agents and social factors are inevitable and determining what their subtle biological effect means to human disease is difficult. Absence of evidence of (effect or harm) is not evidence of absence (of effect or harm), particularly if adverse outcomes are ecologically apparent in environmental settings or in experimental animals following known exposures. To minimize adverse health outcomes, regulators, commercial entities, health care providers and the general public need to know what exposures pose a significant risk that merits intervention(s) to either reduce exposure or mitigate effects.
Multiple factors in the environment impact human development and subsequent health and disease. It has long been appreciated that vitamins, minerals and other essential nutrients play an important role in fetal growth and development. For example, the essential role of folate (folic acid) in pregnancy and human development is well known. But apart from a modest number of other well-known deficiencies, there is still limited understanding of the impact of micronutrient deficiencies or inadequacies on the fetus and subsequent long-term health outcomes . Additionally, several socioeconomic and societal factors are known to have important effects. An unfolding example is the effect of maternal stress on pregnancy outcome which is still being elucidated.
The appreciation of maternal stress and other aspects of the social environment on the fetus has only recently gained some mechanistic explanation. Animal research suggesting transgenerational epigenetic programming of genes (maternal imprinting) has been seen as an attractive and plausible explanation. Recent reports in humans and nonhuman primates show that epigenetic effects may be sufficient explanations for such social effects. Radtke et al.  analyzed the methylation status of ten promoter sites for the glucocorticoid receptor (GR) gene in mothers and their children 10 to 19 years after birth. They paired those findings with the retrospective assessment of maternal exposure to intimate partner violence. Although the mother’s GR gene was not affected by that profile of intimate partner violence, the methylation status of the GR gene promoters of the adolescent children was influenced by their mother’s experience during pregnancy. If maternal exposure to intimate partner violence occurred during pregnancy, methylation of GR gene promoters was increased three-fold in the offspring . In a broader profile of differential methylation of adult DNA, Borghol et al.  found that disadvantaged socioeconomic position in childhood was reflected in a change in the level of methylation for over 1200 gene promoters. While such a broad pattern of molecular effect does not explicitly link a disadvantaged background to the well-known adult mortality and morbidity risks, the findings certainly sustain the view that this is a biologically plausible mechanism. In nonhuman primates, Tunga et al.  used the social status (dominance rank) of female macaques to demonstrate that dominance rank imposed a widespread imprint on gene regulation such that gene expression data could (in reverse) predict social status with 80% accuracy. These remarkable correlations between methylation patterns and dominance rank strongly suggest that epigenetic molecular marks are a key response to social status effects during development. Taken together these human and nonhuman primate studies imply a distinct plausible association between social influence and individual physiology at a molecular level.
Transformation of human Toxicology into a translational discipline: the translational gap
At present there is still a critical gap between laboratory toxicology research and testing (i.e., molecular, cellular and pathological outcomes in cell systems and animal models) and epidemiological and ecosystem studies, which examine exposed populations for disease. The current bipartite approach fails to make adequately overt the link between exposure(s) and clinical outcome(s). In fact, most such claims of cause-and-effect are no better than a tentative association of exposure and effect. So we are typically left with both, a) inadequate evidence of a plausible explicit risk due to an exposure, and b) inadequate evidence that there is no plausible explicit risk due to an exposure and therefore limited intervention possibilities. It is our objective to discuss current knowledge from research toxicology and epidemiological studies on the occurrence of adverse events triggered during critical life-span periods focusing on in-utero development and how to plausibly mitigate adverse health effects of these exposures particularly in terms of endocrine/metabolic, neurodevelopment and reproductive consequences across the ensuing lifespan.
The public health imperative of endocrine and metabolic disorders
If chemical exposures and stress influence the occurrence of endocrine mediated diseases, what is the potential public health impact? Golden  comprehensively reviewed the clinical and public health significance of 54 endocrine and metabolic disorders in the US, and the importance of any early in-life events that might impact subsequent endocrine or metabolic function associated with these disorders. Disorders with at least 5% prevalence among adults included diabetes mellitus, impaired fasting glucose, impaired glucose tolerance, obesity, metabolic syndrome, osteoporosis, osteopenia, mild-moderate hypovitaminosis D, erectile dysfunction, dyslipidemia, and thyroiditis. Even if the less common endocrinopathies are not considered, the high prevalence and incidence of common endocrine and metabolic disorders demonstrates the profound adverse impact of endocrine diseases on longevity, quality-of-life, public health and health care utilization.
Endocrine and metabolic disorders: childhood obesity As the world has moved from agrarian, to industrial, then information ages, the level of sedentary activities open to humans have increased exponentially, which has contributed to a global rise in obesity rates, affecting both low and high income countries, as well as creating wide variations within countries. In high income countries, the poor population is most affected while in low income countries, the most affected are the middle class . This rise in obesity within populations forecasts an increased burden from several diseases, most notably cardiovascular diseases, diabetes, and cancers. Wang et al.  used a simulation model to project an increase of 65 million more obese adults in the US by 2030, coupled with in obesity-related medical costs reaching as high as $66 billion per year.
Obesity seems to activate disease by acting through sympathetic nervous activation. While the mechanisms responsible for initiating the pathway remain to be unequivocally elucidated, hyperinsulinemia, obstructive sleep apnea, increased circulating cytokines, stress and beta adrenergic receptor polymorphism are implicated in the causal pathway to diabetes and most of the other obesity related diseases . For example, Chouchane et al.  found expression of TNF-alpha and stress protein (hsp70-2) associated with obesity and that these, and other endocrine disruptors, are most likely activated along the pathway leading to disease; thus they are potential targets for intervention. While diet and exercise is still an important therapy, the fact that these two simple interventions have not driven down the rising wave of obesity means that additional interventions are needed. Pharmacological interventions targeting the sympathetic nervous system, either directly or indirectly, may reduce disease outcomes and be useful along with improved nutrition and increased exercise.
As childhood obesity has steadily increased, legitimate public health concerns have been broadly raised. While there is great concern, there also is uncertainty as to the long-term health impact of this reality. On one hand, Birch et al.  suggest that the common notion that children will, "grow out of obesity," is not true and that critical environmental factors that affect children’s development and obesity risks in their early years should be modified in order to beneficially influence health and well-being throughout life. On the other hand, there remains a significant challenge to document whether childhood obesity is or is not an independent risk factor for adult metabolic syndrome, type II diabetes, or biomarkers of the same (blood lipid status, insulin levels, etc.) .
Childhood obesity and In-utero environment Over the last 20 years, childhood obesity has dramatically increased globally with accompanying increases in childhood illnesses associated with obesity. Childhood obesity leads to increased use of hospital services for several obesity-related conditions when compared to normal weight children . More than a decade ago, Wang and Deitz  estimated that the cost associated with hospitalization for children due to obesity associated diseases at around 127 million for the two year period ranging from 1997 to 1999. Although obesity rates seem to have stabilized among females 2 to 19 years since 1999, it is still rising for males . The associated health costs will continue to go up because the effects of obesity are cumulative causing more diseases and ill-health over time if not reversed. There is evidence that adult obesity is influenced by environmental factors and the same is probably true for childhood obesity, including prenatal and early postnatal environment. Salois  describes an association between the built environment (i.e., measures relating to food choice and physical activity) and prevalence of obesity in low income preschool children. There is an interaction between modern sedentary lifestyles, nutrition and in utero and early post-natal environments that influence the probability of childhood obesity. The in utero influences are likely the result of sympathetic nervous system activation in mothers leading to disruption of various endocrine pathways in the developing fetus. The in utero environment that triggers childhood obesity is not well understood. Various sympathomimetic compounds may be disrupting the in-utero environment and causing receptor changes that interact with the postnatal environment to produce phenotypic obesity. Such changes possibly could be detected in amniotic fluid. Possible sympathomimetic candidate compounds include environmental phenols, fungicides, pesticides and their metabolites, perfluorochemicals, phthalate metabolites and some metals.
Childhood obesity and nutritional or metabolic imprinting Epidemiological studies in human and animal experiments have shown that nutrition during fetal and neonatal life may lead to obesity and its related disorders in adulthood. There are no adequate models to reproduce human situations. For example, milk formula taken by infants during neonatal life may contain trace compounds of sympathomimetics that may produce subtle changes in receptor activation. Low birth weight is considered the result of an adverse in utero growth trajectory and is often associated with later metabolic diseases in adult age. The hypothalamic-pituitary-adrenal axis (HPAA) and growth hormone/insulin-like growth factor 1 (GH/IGF) axis may have a crucial role in the regulation induced by nutritional programming. The persistent alterations seem to be a consequence, at least in part, of elevated insulin levels during "critical periods" of pre- and early postnatal development. Likewise, leptin seems to play an important role in this complex system. New knowledge about these mechanisms suggests the development of new, rational, and effective preventive and/or therapeutic options before and/or after birth. Thus, early infancy may provide an opportunity for intervention aimed at reducing later disease risk .
Effects of drugs and environmental chemicals on the reproductive system
Clearly, drugs and environmental chemicals can adversely affect the reproductive system. Available data indicate that the consequences of exposure depend on the nature of the chemical, the dose of the chemical, its target, and the timing of exposure relative to critical windows in development of the reproductive system . Toxicant exposures may affect critical events in reproductive development, ranging from early primordial germ cell determination to gonadal differentiation, gametogenesis, external genitalia, or signaling events regulating sexual behavior. Although there are differences between the human reproductive system and that of laboratory animal models, such models have been extremely useful in assessing risks for key human reproductive and developmental processes. The objectives for future studies should include the elucidation of the specific cellular and molecular targets of known toxicants; the design of a systematic approach to the identification of reproductive toxicants; and the development of sensitive, specific, and predictive animal models, minimally invasive surrogate markers, and/or in vitro tests to assess reproductive system function during embryonic, postnatal, and adult life. Integrated testing strategies will be required to account for the many mechanisms associated with reproductive development that occur in vivo.
Evidence from animal models and human studies indicates that many specific events can be perturbed by a variety of toxicants, with endocrine-mediated mechanisms being the more widely studied. Prioritized research needs include basic studies on the cellular-molecular and endocrine regulation using expanded animal studies on different classes of chemicals, comparing responses during development (prenatal and postnatal) with responses in adults; and, more extensive explorations regarding the reproductive biology and toxicology of puberty in humans .
Folic acid and autism Autism is a heterogeneous group of complex developmental disabilities that result from a number of possible etiologies. There is some debate about the increasing prevalence of autism and whether diagnosis of autism is increasing due to changing definitions and parents influencing the medical system for autism diagnosis for their children to access treatment for other ailments . The 2010 prevalence estimate from meta-analyses of prevalence studies, 25 per 10,000, is up from the 1970 estimate of 1 per 10,000 . Diagnostic and Statistical Manual of Mental Disorders (DSM) II was in use in 1970 and had different criteria for diagnosing autism from DSM IV-TR® in use in 2010. Diagnosis of autism is complicated because patients often have other co-morbidities such as seizures, GI problems, sleep disorders and attention deficit disorders. The causes of autism are still under active investigation with genetics, in utero exposure to antiepileptic drugs (valproate)  and GI bacteria being actively investigated as potential causes . In utero hormonal disturbances are also indicted in causation of autism  and this is thought to explain the higher diagnosis of autism in males. High socio-economic status (SES) has consistently been found to be associated with autism but this could be due to under diagnoses in families with low SES . Wang and Leslie  found that total expenditure for autism per child rose by 3.1% to $22,772 between 2000 and 2003 using Medicaid data from 42 states.
In summary, developmental exposure to some environmental chemicals appear to directly adversely affect neurodevelopment while other exposures that increase the incidence of metabolic conditions in mothers may be considered as an indirect cause as well. A recent publication indicates folic acid supplementation by mothers around conception and during pregnancy reduces risk of autism in children .
Use of biomarkers as endpoints
National Institutes of Health–recommended definitions of outcome measures
Clinical end point
"A characteristic or variable that reflects how a patient feels, functions, or survives."
Surrogate end point
"A biomarker that is intended to substitute for a clinical end point. A surrogate end point is expected to predict clinical benefit (or harm or lack of benefit or harm) based on epidemiologic, therapeutic, pathophysiologic, or other scientific evidence."
Biological marker (biomarker)
"A characteristic that is objectively measured and evaluated as an indicator of normal biologic processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention."
In our effort to develop a comprehensive approach to translational toxicology, we cannot anticipate relying on clinical endpoints that occur as a result of environmental exposures as the primary sensor for determining cause and effect relationships. Application of the precautionary principle has a strong ethical basis when the exposures of interest are unintended or unavoidable as occurs with numerous environmental health concerns. A study subject can give informed consent to take a study drug but individuals in an exposed population have given no such consent. Therefore in translational toxicology studies we can often expect to necessarily rely on surrogate endpoints or even biomarkers to drive decision-making and interventions.
The spectrum of potential biomarkers that may have utility in translational toxicology research is too broad to list. Beyond chemical and molecular markers such as clinical chemistry and hematology profiles, hormone levels , a multitude of imaging techniques (radiology images, ultrasound, CT, MRI, PET, etc.) can also be used. Histopathology remains a key component in assessing target tissue responses to exposures and new "-omics" technologies such as transcriptomics, proteomics and metabolomics as well as next generation sequencing for mutations present data sets that can serve as biomarker outcomes in various toxicologic investigations across the lifespan. For example, metabolomics have been applied to human embryonic stem cell test systems to begin identifying biomarkers of developmental toxicity . Global metabolite profiling (untargeted metabolomics) allows the measurement of thousands of compounds in minimal amounts of biological material  and this technology can be applied broadly to any number of toxicity research inquires. These same "old" and "new" classes of biomarkers should be useful tools as we strive to assess the impact of interventions that may be implemented to mitigate the effects of prior or ongoing toxicant exposure.
Within the realm of genomics and RNA signaling, novel opportunities continue to arise. For example micro RNAs that are known to be key regulators of metabolism have been shown to circulate and therefore are available in accessible human specimens (blood) to quantify as either signaling molecules or disease markers . Additionally, at the interface of molecular and cellular biomarkers, the recent report by Kim et al.  that the low levels of leukocyte mitochondrial DNA copy number are reduced in postmenopausal women with metabolic syndrome suggests that overt links between molecular markers, cellular markers, target tissue function and disease outcomes can be explicitly linked.
Key developmental periods for interventions
Key intervals in the lifespan that may be taken as Windows of Susceptibility (of adverse effects due to an exposure) are also likely to be the key intervals for intervention (Windows of Responsivity) to minimize, negate or reverse antecedent or ongoing exposure effects. Those key intervals of dynamic biological change during the lifespan that may be impacted by environmental exposures are:
early development [pre-conception, in utero, neonatal, early childhood]
albeit in women only, the menopausal transition.
Effects of exposures can be one or more of the following:
Create a new syndrome
Recreate a known "old" syndrome
Increase the prevalence or severity of some extant disease in an exposed population
Exposure effects can interact with pre-existing unrecognized (such as common under-diagnosed) diseases, deficiencies, and other stressors to exacerbate later disease outcomes, either prevalence or severity.
There is also the possibility of unintended side-effects of interventions during the windows of susceptibility and this has contributed to reluctance to intervene during these periods.
Infectious disease exposures
Inter-current diseases (in mother)
Maternal body composition (obesity/fitness).
All of these themes persist today as important and inadequately defined areas of concern. As a single illustration, there is a strengthening view that several developmental exposures are causally associated with obesity later in life. Recent and ongoing epidemiological and animal studies have shown that up to 20 chemical endocrine disrupters are potential causes of obesity in children and adults if exposure occurs in early development . Stress on the mother and nutrition of the mother have also been established to alter endocrine receptors and lead to obesity in children [9, 16] from epidemiological and animal studies.
There is a need for further investigation to understand where effective interventions could be applied such as targeted nutritional guidance or active ways to reduce exposures of concern including possible prescription interventions for mother or child.
Peri-pubertal Given some recent studies showing that interventions in late adolescent/early pubertal children for risk of metabolic syndrome may have greater benefit than somewhat later interventions, the peri-pubertal interval may be a strong opportunity to show that environmental health impacts can be actively treated/mitigated/managed. A key concept is that the intrauterine fetal environment has effects that manifest in the late adolescent or pubertal interval.
In utero endocrinology and effects in adolescence There is evidence in animals and humans that metabolic syndrome, insulin resistance, obesity etc. as well as female reproduction can be impacted by endogenous intrauterine endocrine or metabolic exposures. Since a number of animal studies had shown that exposure to intrauterine hyperglycemia appeared to increase risk factors for cardiovascular disease, Clausen et al.  studied the risk of overweight and metabolic syndrome in adult offspring of women who had diet-treated gestational diabetes or type I diabetes. These investigators assessed over 1000 women and were able to show that adult offspring of mothers with diet-treated gestational diabetes or type I diabetes have an increased risk of overweight and metabolic syndrome. These findings raise the question as to whether caloric restriction during gestation might reduce the risk of these adverse metabolic outcomes for the offspring. A recent study in rats , in which moderate caloric restriction of lactating rats was shown to protect from obesity development in the offspring as well as other related metabolic alterations, suggests that such a protective effect in humans is at least plausible.
While there has been extensive consideration of potential effects of exogenous sex hormone-like compounds on later reproductive potential of female offspring, less attention has been given to the potential effects of endogenous sex steroids during the intrauterine interval. Hart et al.  have addressed this question by assessing the impact of maternal circulating androgen levels during normal pregnancy on ovarian function, as determined by early follicular phase antimullerian hormone (AMH) levels, inhibin B levels, and antral follicle count (AFC) in 244 female offspring in adolescence. These investigators found that maternal circulating total testosterone levels at 18 weeks gestation were statistically significantly correlated with early follicular-phase circulating AMH levels in female adolescent offspring, but no other statistically significant correlations were determined among the maternal androgens and the markers of adolescent ovarian function at 18 or 34 weeks of gestation. Clearly such potential relationships between the intrauterine endocrine environment and the subsequent markers of reproductive competency in the peri-pubertal interval deserve further inquiry.
Menopausal transition The decade approximating age 40 to 50 years involves dynamic changes in reproductive endocrine functions and is temporally something of a "last chance" to preempt a number of risk profiles that influence diseases that become progressively more prominent in women after age 50–60. There is a moderate amount of attention now to endocrine, nutrition and lifestyle aspects of this life-stage, but virtually no attention is being given to the potential interaction of environmental chemical exposures with those themes. The menopausal transition results in changes in hormonal profile and changes in FSH, Inhibin B and AMH hormone have been noted; disruption of this intricate process may lead to abnormalities that could generate into disease [27, 37].
Documented human exposures from biomonitoring programs: what compounds/classes might be implicated?
Chemical exposures of pregnant women: drugs, prescription and OTC
Categories of risk for drugs during pregnancy 
These drugs are the safest. Well-designed studies in people show no risks to the fetus.
Studies in animals show no risk to the fetus, and no well-designed studies in people have been done.
Studies in animals show a risk to the fetus, but well-designed studies in people do not.
No adequate studies in animals or people have been done.
Evidence shows a risk to the human fetus, but benefits of the drug may outweigh risks in certain situations. For example, the mother may have a life-threatening disorder or a serious disorder that cannot be treated with safer drugs.
Risk to the fetus has been proved to outweigh any possible benefit.
As a general matter, obstetrical care of pregnant women is precautionary and gravidas are discouraged from using prescription pharmaceuticals and over-the-counter (OTC) drugs to minimize exposure of the embryo or fetus to these classes of exogenous chemicals. Reality dictates that most women do in fact use one or more drugs during a pregnancy. More than 90% of pregnant women take prescription or nonprescription (over-the-counter) drugs or use social drugs (such as tobacco and alcohol) or illicit drugs at some time during pregnancy . For the most part regarding this multitude of exposures, data are inadequate to support either our fearful assumption of fetal risk due to such exposures or to tacitly or explicitly endorse selective usage of drugs by gravidas. Given that common and presumptively safe drugs are also the ones frequently used by gravidas, some publications do document some of these in utero exposures and their potential fetal effects.
Acetaminophen (APAP) is one of the most frequently used drugs among pregnant women and is also the most common drug overdose in pregnancy . Nonetheless, data regarding APAP overdose in pregnancy is limited and consists mainly of case reports or a small series of cases and there is no known threshold for occurrence of toxic symptoms. APAP crosses the placenta and high doses are known to be hepatotoxic. Hepatic metabolites may cause fetal hepatic necrosis. Because N-acetylcysteine (NAC) also crosses the placenta, some data suggest that the majority of morbidity and mortality from APAP overdose can be averted by initiation of NAC within the first 16 hours of ingestion and possibly even later. It appears that NAC does not itself pose any demonstrated risk to the fetus, so the standard-of-care would be to administer as early as possible after APAP overdosage in pregnancy.
Since the vast majority of usages of APAP are not overdosages, it has been important to determine if usage in proper dosages is or is not associated with an increased prevalence of congenital abnormalities and to determine a threshold for toxicity. Rebordosa et al.  assessed >88,000 pregnant women and their liveborn singletons from the Danish National Birth Cohort who had information on APAP use during the first trimester of pregnancy and 4.3% of children from the cohort were diagnosed with congenital abnormalities. Children exposed to APAP during the first trimester of pregnancy (n > 26,000) did not have an increased prevalence of congenital abnormalities compared with nonexposed children (n > 61,000).
In another study, Snijder et al.  examined the influence of maternal exposure to mild analgesics during pregnancy on the occurrence of cryptorchidism and hypospadia in >3000 offspring in the Netherlands Generation R [birth cohort] Study. Cryptorchidism and hypospadia were identified during routine screening assessments performed in child health care centers by trained physicians. The use of mild analgesics was assessed in three prenatal questionnaires in pregnancy, resulting in four periods of use, namely, periconception period, first 14 weeks of gestation, 14–22 weeks of gestation and 20–32 weeks of gestation. The prevalence was 2.1% for cryptorchidism and 0.7% for hypospadia. Use of mild analgesics in the second period of pregnancy (14–22 weeks) increased the risk of congenital cryptorchidism [with adjusted odds ratios (OR) of approximately 2] primarily due to the use of APAP. The results suggest that intrauterine exposure to mild analgesics, primarily APAP, during the period in pregnancy when male sexual differentiation takes place, increases the risk of cryptorchidism.
In summary, even for this extraordinarily common drug (APAP), we have data that makes advice to a pregnant woman rather equivocal. Namely, we do not think there is a risk of major congenital abnormalities if she were to use APAP during pregnancy but there is a doubling of risk of at least one congenital abnormality for male infants if she uses APAP in mid-gestation. If APAP is something of a "best case scenario" as regards having known developmental exposures and known clinical outcomes for the infants, the challenge to address all other relevant exposures (drugs, environmental and dietary chemicals, etc.) is indeed immense.
Arguably OTC drug usage could be deemed inessential, but some use of prescription drugs by pregnant women is clinically-compelling or truly unavoidable to assure her life and health. A prime example is the use of antiepileptic drugs (AEDs) . For women with seizure disorders, many questions must be addressed even prior to conception. To avoid injury or death for the mother and the fetus, it may be impossible to stop or change the AED regimen during pregnancy. In some few cases an AED can be discontinued prior to conception, but this requires attentive and expert medical care. Most women with seizure disorders will require continued use of their AEDs before, during and after pregnancy. In practice, the aim is to prescribe the most effective AED while minimizing risks, and avoiding polytherapy and valproate if possible. Additionally, the dosing regimens will often require changes because drug metabolism of AEDs varies across pregnancy. Finally, the fetus faces risks due to potential effects of the AEDs, but also from the exposure to the concurrent maternal medical condition per se (her seizure disorder).
Another category of clinically-compelling prescription drug exposure in utero is antipsychotics. Antipsychotics are being used in behavioral medicine well beyond psychotic disorders to include depressive, bipolar, and anxiety disorders. As a result, fetal exposure to this class of compounds must be increasing in frequency, but any neurodevelopmental sequelae of fetal antipsychotic exposure is poorly understood. To examine whether intrauterine antipsychotic exposure is associated with deficits in neuromotor performance and habituation in 6-month-old infants, Johnson et al.  studied >300 maternal-infant dyads (N = 309) at 6 months postpartum with pregnancy exposure to antipsychotics (n = 22), antidepressants (n = 202), or no psychotropic agents (n = 85). Examiners masked to maternal-infant exposure status administered a standardized neuromotor examination (Infant Neurological International Battery [INFANIB]) that tests posture, tone, reflexes, and motor skills and a visual habituation paradigm using a neutral female face. Infants prenatally exposed to antipsychotics showed significantly lower INFANIB scores than those with antidepressant or no psychotropic exposure. These results indicate that 6-month-old infants who were exposed to antipsychotic drugs in utero had lower scores on a standard test of neuromotor performance suggesting that this was a neurodevelopmental effect of fetal antipsychotic exposure.
Finally, a recent study by Daw et al.  provides a broad and contemporary perspective of the extent of prescription drug use by pregnant women. The investigators assessed the frequency, timing, and type of medicines used before, during, and after pregnancy in a Canadian population. This retrospective cohort analysis used population-based health care data from all pregnancies ending in live births in hospitals in British Columbia from April 2001 to June 2006 (n = 163,082). Data from hospital records were linked to those in outpatient prescription-drug claims. Data from prescriptions filled from 6 months before pregnancy to 6 months postpartum were analyzed. Drugs were classified by therapeutic category and FDA pregnancy risk categories. Prescriptions were filled in 63.5% of pregnancies. At least 1 prescription for a category D or X medicine was filled in 7.8% of pregnancies (5.5% category D; 2.5% category X). The most frequently filled prescriptions for category D drugs were benzodiazepines and antidepressants. The most frequently filled prescriptions for category X drugs were oral contraceptives and ovulation stimulants filled in the first trimester. Remarkably, these data show that the majority of pregnant women in British Columbia received at least 1 prescription, and ~1 in 13 received a prescription for a drug categorized as D or X by the FDA.
This remarkable prevalence of maternal prescription drug use emphasizes the need for thorough pharmacovigilance and regulatory processes to assess potential fetal risks before, during and after drug approval and marketing. Additionally if a comprehensive translational approach is to be realized in human developmental toxicology, this category of fetal exposures must be included "in the mix" along with other environmental and dietary exposures.
Despite the widespread use of benzodiazepines during pregnancy and lactation, little information is available about their effect on the developing fetus and on nursing infants. Iqbal et al.  reviewed what is currently known about the effects of benzodiazepine therapy on the fetus and on nursing infants. Currently available information is insufficient to determine whether the potential benefits of benzodiazepines to the mother outweigh the risks to the fetus. High peak concentrations should be avoided by dividing the daily dosage into two or three doses. Minimizing the risks of benzodiazepine therapy among pregnant or lactating women involves using drugs that have established safety records at the lowest dosage for the shortest possible duration, avoiding use during the first trimester, and avoiding multidrug regimens.
Chemical exposures of pregnant women: environmental and natural dietary chemicals
Pregnant women and infants are exposed to multiple chemicals through the diet. These include naturally occurring dietary components such as phytoestrogens  as well as numerous synthetic compounds. The online database TEDX (The Endocrine Disruption Exchange 2013)  lists chemicals with the potential to affect the endocrine system. To date there are approximately 1,517 endocrine disruptors on the TEDX List.
Quantifying some of these dietary exposures may rely on survey instruments such as food frequency questionnaires as well as assays of biological specimens. Food frequency questionnaires (FFQ) have been adapted to provide a degree of quantification of soy consumption  by adult women. Since soy is the primary source of dietary estrogenic isoflavones in Western countries, the demonstrated correlation of data from the FFQ and plasma isoflavone concentrations indicate that either technique may provide adequate documentation of levels of exposure.
In recent years several different types of biological specimens from pregnant women have been assayed for environmental and natural dietary chemicals that are known to or suspected to have hormonal activity. Engel et al.  found detectable levels of three phytoestrogens (enterolactone, daidzein and genistein) and bisphenol A (BPA) in 21 amniotic fluid specimens that were collected before 20 weeks gestation. Samples were obtained by amniocentesis from women who were referred to the Mount Sinai Medical Center because of advanced maternal age. The relative concentration of the chemicals in amniotic fluid were enterolactone > daidzein > genistein > > BPA. Woodruff et al.  assessed exposure to environmental chemicals during fetal development by analyzing samples from pregnant women who were participants in the National Health and Nutritional Examination Survey (NHANES), a nationally representative sample of the U.S. population. The investigators analyzed data for 163 chemical analytes in 12 chemical classes for subsamples of 268 pregnant women from NHANES 2003–2004. The percentage of pregnant women with detectable levels of an individual chemical ranged from 0 to 100%. Certain polychlorinated biphenyls, organochlorine pesticides, perfluorinated compounds (PFCs), phenols, polybrominated diphenyl ethers (PBDEs), phthalates, polycyclic aromatic hydrocarbons, and perchlorate were detected in 99–100% of pregnant women. The median number of detected chemicals by chemical class ranged from 4 of 12 PFCs to 9 of 13 phthalates. Across chemical classes, median number ranged from 8 of 17 chemical analytes to 50 of 71 chemical analytes. In general, levels in pregnant women were similar to or lower than levels in nonpregnant women.
Chemical exposures of pregnant women: herbs and supplements
An additional category of potential chemical exposure of the human fetus that is neither drugs nor diet per se is the use of herbal products and dietary supplements. A recent national survey in the United States  demonstrates the widespread use of these biologically active products. These investigators assessed population and subpopulation changes in rates of herb and supplement use and rates of disclosure of herb and supplement use to conventional medical providers and compared data from the 2002 (n = 30,427) and 2007 (n = 22,657) Adult Complementary and Alternative Medicine File to the National Health Interview Survey (NHIS). The number of adults in the United States that ever used herbs or supplements was 55.1 million in 2007. The proportion of adults who reported use of herbs or supplements in the past 12 months was 17.9% in 2007. The proportion of respondents that disclosed herb or supplement use to their physician or another conventional medical professional was 45.4% in 2007. However, <1% of recent herb and supplement users disclosed this use to their pharmacist.
This study did not specifically address the question of usage of herbal products and dietary supplements by pregnant women and we are unaware of any reports documenting whether pregnant women are comparable to other adults in this regard.
Chemical exposures of pregnant women: smoking, ethanol and drugs of abuse
While animal studies have shown that early life exposure to cigarette smoke can have adverse effects on specific body systems such as the CNS , the adverse impact of tobacco (cigarette) smoking on the human fetus had been documented by a number of studies over the last three decades with most outcomes documented in terms of birthweights and/or other general measures of in utero growth. Wang et al.  reported on the relationship of birth outcomes to the timing and intensity of maternal active and passive smoking estimated both from self-reports and from cotinine concentration in maternal urine during early, middle, and late gestation. Their study included 740 white and Hispanic women in Boston, MA between 1986 and 1992. At each antenatal visit, information on maternal active and passive smoking was obtained by a detailed questionnaire, and by measurement of urine cotinine concentrations. Infant birth outcomes were obtained from hospital records. The percentage of mothers who ever smoked cigarettes during pregnancy was 55.5% for white and 10.2% for Hispanic women. A significant inverse exposure-response relationship between cotinine concentration in maternal urine and infant size (birthweight, length and head circumference) at birth was demonstrated. The relationship was less clear between maternal self-reported smoking status (both active and passive) and these fetal outcomes.
Additional studies have used various biological specimens for assessment of fetal exposure to tobacco smoking by measuring cotinine as the biomarker of exposure. Maternal salivary cotinine levels (SCLs) were compared to pregnancy outcomes among >700 pregnant women including 126 active smokers . In linear regression analyses adjusting for sociodemographic and medical factors, SCLs of >20 ng/mL were associated with a reduction in birth weight of 88 g when SCLs were measured at baseline (P = .042) and 205 g when SCLs were measured immediately before delivery (P < .001). These investigators concluded that at any cutoff level, birth weight reduction was more significant for the same SCL measured in late pregnancy. Dietz et al.  analyzed data from the 1999–2006 National Health and Nutrition Examination Survey and estimated the percentage of 994 pregnant and 3,203 nonpregnant women 20–44 years of age who did not report smoking but had serum cotinine levels that exceeded the defined cut point for active smoking (nondisclosure). Active smoking was defined as self-reporting smoking or having a serum cotinine concentration that exceeded the cut point for active smoking. Overall, 13.0% of pregnant women and 29.7% of nonpregnant women were active smokers. Nondisclosure was higher among pregnant active smokers (22.9%) than among nonpregnant smokers (9.2%). The investigators concluded that studies and surveillance systems that rely on self-reported smoking status are subject to underestimation of smoking prevalence, especially among pregnant women, and underreporting may vary by demographic characteristics. In another study of fetal umbilical cord drug levels and maternal self-report  in >100 specimens, there was only fair agreement between self-reported smoking and cotinine levels as well as slight agreement with current drug use and positive drug levels. Compared with maternal self-report, sensitivity of cotinine levels was 27% and specificity was 98%. Sensitivity of positive cord illicit drug levels was 32% and specificity was 85%.A clear blunt summary of the adverse impact of tobacco smoking on women and their infants can be viewed on the Centers for Diseases Control website .
In terms of fetal exposure to ethanol, there is absolute certainty that pregnant women should not consume alcoholic beverages. This is a clear and certain case for fetal protection by avoidance of exposure and is an ongoing critically important public health message from the American College of Obstetrics and Gynecology . A recent review and commentary by Tracy , succinctly and powerfully documents the history of fetal alcohol syndrome, the animal and human data indicating that there is no safe level of exposure and that obstetricians and other healthcare providers must be more assertive in identifying and counseling reproductive age women and especially those who are pregnant regarding fetal risk. This is a clear case where the toxicology, social norms and delivery of healthcare all make the course of appropriate action clear; the human fetus should not be exposed to ethanol.
Use of cocaine, marijuana, and other illicit drugs during pregnancy has been associated with a variety of adverse effects even though causality is not firmly proven. Effects include low birth weight, neurodevelopmental deficits and impairments affecting behavior, cognition, attention, language, and learning skills plus other behavioral problems in children exposed to cocaine, marijuana or heroin in utero. Methamphetamine exposure has been associated with fetal growth restriction, decreased arousal, and alterations in motor control in infants . Neurotoxicity and psychopathology associated with methamphetamines and amphetamine exposure has been shown in both animal and epidemiologic studies, with more severe effects in women . Given the high recreational use in young adults, the effects in-utero on the developing brains needs further investigation.
Endocrine disruption as a functional category of toxicants
The spectrum of possibly non-mutagenic but highly specific modes of action of chemical toxicants is implied by the molecular targets through which pharmaceuticals have been shown to act. The notion that some environmental and dietary compounds can act via highly specific signaling pathways to elicit reproductive and/or multifaceted developmental effects has led to appreciation of more subtle effects of exposures in animal models and raised suspicion that important developmental effects may be similarly occurring in humans that have gone unrecognized in the past. The full range of potential modes of action is captured in the "Guide to Receptors and Channels" . This compilation of the major pharmacological targets is divided into seven sections: G protein-coupled receptors, ligand-gated ion channels, ion channels, catalytic receptors, nuclear receptors, transporters and enzymes. Would all of these actions be considered "endocrine disruption" or do we simply need to consider "developmental toxicology" to be the broader designation and limit "EDC" to those compounds that bind to or affect hormone signaling pathways per se?
Endocrine-disrupting chemicals (EDCs) can have effects at low doses that are not predicted by effects at higher doses . Low-dose effects are those that occur within the range of human exposures or those observed at doses below the range used in traditional toxicological studies. These effects may depend upon nonmonotonic dose–response curves where a nonlinear relationship between dose and effect where the slope of the curve changes sign somewhere within the range of doses examined. It is noteworthy that nonmonotonic responses and low-dose effects are remarkably common in studies of natural hormones and EDCs. On this basis, Birnbaum  has urged collaborations between research scientists in academia, government, and industry to allow for development of more sophisticated study designs to facilitate regulatory decisions. Our core proposal is as follows:
human exposure(s) occur,
there is a plausible mode of action such that the exposure might elicit developmental effects,
human health outcomes are assessed and
both passive [reduce exposures] and active [nutritional, sociobehavioral or pharmaceutical interventions] health risk mitigation/intervention strategies can be developed for exposed individuals.
What evidence and modes of action link exposure to endocrine disruptors to endocrine or other human diseases? An essential missing link between endocrine disruptor testing and screening and epidemiology/population-based exposure assessments is individualized assessments of exposures and effects that are plausibly linked via known modes-of-action. Because metabolomic methods allow a broad look at multiple potentially perturbed metabolic pathways (and implictly different modes-of-action), and multiple biospecimens can be assayed [some of which are quite non-invasively obtained; urine], this may prove to be the preferred core analytical method for defining these individualized exposure-effect relationships.
What modes of action are known or are plausible from animal, in vitro, and human clinical data?
Developmental toxicology endpoints
Methods of measurement
General growth, morphology of body regions, organs and tissues
Organization of organs & tissues
Microscopic veterinary or human pathology
Cellular composition of tissues
Relative composition of major cell types; histopathology, histochemistry, histomorphometry
Finer cellular and tissue profiles
Tissue content of stem cells and progenitor cells; inflammatory/migratory cell populations; extracellular matrix/ cell matrix interactions; assess cell cycle kinetics, critical cellular process (e.g., apoptosis and autophagy)
Molecular changes within cells
DNA, RNA, proteins (including processing, turnover, etc.), lipids and glycosylation; genomics, epigenomics, transcriptomics, microRNAs/siRNAs
"Accessible" or "translatable" (can be used in lab models and in humans) biomarkers
- Imaging (ultrasound, MRI, CT, etc.)
- Functional assessments (behavior, treadmill, learning, cognition, renal function studies, lung function studies, grip strength, etc.)
- Tissue biopsies, male and female gametes/follicular fluid; amniotic fluid; blood, urine
- Routine chemistries, hematology,
- Circulating cells (e.g., bone marrow stem cells, leukocytes, other stem/progenitor cells)
Biomolecules in blood plasma, urine including macromolecules, small molecules
- Specific assays for individual molecules
- "Broad Net" approaches of proteomics, metabolomics, siRNAs, etc.
Integrative Physiology/Systems Biology
Multiple opportunities to link in vitro and animal models to humans and to use mathematical models to dynamically integrate multiple biological parameters
Stem cell mediated effects
One plausible target of toxic action in almost any target tissue during development is the stem or progenitor cell. Any exposure that might alter the population size or characteristics of stem or progenitor cells could have profound and lasting effects on the structural and functional integrity of any target tissue, organ or system. Additionally, since tools have been developed to study stem cells, the questions about potential actions of toxicants can now be investigated in relatively direct ways. In particular relationship to developmental effects of fetal exposures, stem cell populations from umbilical cord blood present a unique and well appreciated opportunity for study . Umbilical cord blood contains at least three populations of stem cells, each with unique features and properties.
Hematopoietic stem and progenitor cells continuously egress out of the bone marrow (BM) and into the circulation under homeostatic conditions. This process is dramatically enhanced during stress situations and induced mobilization regimens . Recent studies have clearly identified that hematopoietic stem cells (HSC) are part of a hierarchical organization defined by cells able to initiate long-term repopulation (LT-HSC) of injured BM followed by populations with transient repopulation ability . As HSCs are able to supply blood cells for the lifespan of the individual, LT-HSCs undergo an aging process. The consequences of aging are an increase in the stem cell pool size, increased self-renewal and production of cells with expression of myeloid-specific genes and genes commonly expressed in myeloid leukemia. The age-related increased incidence of myeloproliferative disorders is therefore not surprising. Marrow cells circulate and migrate to a number of different organs. Previously assumed tissue and organ specificities appear to be less stringent and primitive cells residing in one organ may contribute to the structural and functional regeneration of other organs. It is intriguing to speculate that cells and cytokines used in appropriate concentrations may be able to repair damaged organs by using the defective organ as a scaffold, thus reducing the need for the transplantation of solid organs.
Evidence suggests haematopoietic stem cells (HSCs) can migrate to injured liver and influence tissue repair. However, Kavanaugh et al.  found that administered HSCs homed predominantly to lungs rather than liver, highlighting a potential therapeutic hurdle. Stem cells are potential targets of intervention as well as possibly targets of toxic agents.
Mutagenesis and alteration of gene expression
As a result of extensive collection of genome-wide transcriptional expression data from cultured human cells treated with bioactive small molecules, "The Connectivity Map (also known as cmap) has been assembled by use of simple pattern-matching algorithms . This system enables the discovery of functional connections between drugs, genes and diseases through the transitory feature of common gene expression changes. At present the interface provides access to the current version (build 02) of Connectivity Map which contains more than 7,000 expression profiles representing 1,309 compounds. While not directly focused on toxicology or development, this broad and comprehensive approach toward characterizing the actions of chemicals on cells will surely be the type of valuable tool that will facilitate understanding the impact of toxicant exposures and potential mitigation strategies.
The types of advances being made are illustrated by recent work in hepatocellular carcinoma (HCC), the fifth most common cancer worldwide. HCC is more prevalent in men than women and recent genetic studies have revealed a causal role for androgen receptor (AR) in hepatocarcinogenesis, but the underlying molecular mechanism remains unclear. Feng et al.  used genome wide location and functional analyses to identify a critical mediator of AR signaling via cell cycle-related kinase (CCRK). Their results reveal a direct AR transcriptional target, CCRK, which promotes hepatocarcinogenesis through the upregulation of beta-catenin/TCF signaling.
The field of toxicogenomics is undergoing remarkable expansion due to advances in genomic technologies as well as an expanding set of concepts about how environmental agents may impact gene regulation and heritability of traits. The epigenetic bases for heritable changes in gene expression (without accompanying alterations in the DNA sequence) are becoming more certain as mechanisms such as DNA methylation, histone modifications, non-coding RNAs, and changes in expression or activity of histone acetylases (HAT) and histone deacetylases (HDAC) in the regulation of gene expression patterns are elaborated . It is becoming clear that epigenetic mechanisms play a critical role in normal development and differentiation and if disordered, may lead to diseases such as cancers. The growing body of evidence that environmental exposures especially in early development can induce epigenetic changes implies that these mechanisms will help explain toxicological effects of environmental exposures. Additionally, epigenetic changes are likely to explain a number of later-in-life effects of early-in-life exposures as well as effects in one or more subsequent generations.
The global prevalence of obesity is increasing across most ages in both sexes. Ng et al.  found that paternal high-fat-diet (HFD) exposure programs B-cell 'dysfunction’ in rat F1 female offspring. This report demonstrates that non-genetic, intergenerational transmission of the metabolic sequelae of a HFD from the father to his offspring occurs in mammals. Thus paternal as well as maternal exposures can bring about epigenetic alterations that influence the metabolic competency of their offspring.
Mathers et al.  summarized current knowledge of the impact of dietary, lifestyle, and environmental determinants of cancer risk and proposes that effects of these exposures might be mediated, at least in part, via epigenetic mechanisms. Evidence is presented to support the hypothesis that all recognized epigenetic marks (including DNA methylation, histone modification, and microRNA (miRNA) expression) are influenced by environmental exposures, including diet, tobacco, alcohol, physical activity, stress, environmental carcinogens, genetic factors, and infectious agents which play important roles in the etiology of cancer. Given the plasticity of epigenetic marks in response to cancer-related exposures, such epigenetic marks are attractive candidates for the development of surrogate endpoints which could be used in dietary or lifestyle intervention studies for cancer prevention. The authors argue that research should focus on identifying epigenetic marks which are (i) validated as biomarkers for the cancer under study; (ii) readily measured in easily accessible tissues (e.g., blood, buccal cells, or stool); and (iii) altered in response to dietary or lifestyle interventions for which there is convincing evidence for a relationship with cancer risk.
Transient environmental influences, such as perinatal nutritional stress, may induce deleterious metabolic symptoms that last for the entire life of individuals, implying that epigenetic modifications play an important role in this process. Jousse et al.  investigated, in mice, the consequences of maternal undernutrition during gestation and lactation on DNA methylation and expression of the leptin gene, which plays a major regulatory role in coordinating nutritional state with many aspects of mammalian biology. The investigators found that animals born to mothers fed a low-protein-diet (F1-LPD group) have a lower body weight/adiposity and exhibit a higher food intake than animals born to mothers fed a control diet (F1-CD group). These modifications persisted throughout life and were associated with lower levels of leptin mRNA and protein in starved F1-LPD mice, emphasizing that maternal protein-undernutrition affects the balance between food intake and energy expenditure in adults. Moreover, this nutritional stress resulted in the removal of methyl groups at CpGs located in the promoter of leptin, causing a permanent specific modification in the dynamics of the expression of leptin, which exhibits a stronger induction in the F1-LPD than in F1-CD mice in response to a meal. This study is an example of a molecular rationale linking transient environmental influences to permanent phenotypic consequences.
Histone modifications are thought to regulate chromatin structure, transcription and other nuclear processes. Histone methylation was originally believed to be an irreversible modification that could only be removed by histone eviction or by dilution during DNA replication. However, the isolation of two families of enzymes that can demethylate histones has changed this notion . The biochemical activities of these histone demethylases towards specific Lys residues on histones, and in some cases non-histone substrates, have highlighted their importance in developmental control, cell-fate decisions and disease. Their ability to be regulated through protein-targeting complexes and post-translational modifications is also beginning to shed light on how they provide dynamic control during transcription.
O-GlcNAcylation, which is a nutrient-sensitive sugar modification, participates in the epigenetic regulation of gene expression. Thus, O-GlcNAc cycling may serve as a homeostatic mechanism linking nutrient availability to higher-order chromatin organization . The wide range of physiological functions regulated by O-GlcNAc cycling suggests an unexplored nexus between epigenetic regulation in disease and nutrient availability.
To elucidate the role of age-related epigenetic changes in healthy ageing and potential longevity, Bell et al.  studied the association between whole-blood DNA methylation patterns in 172 female twins aged 32 to 80 with age and age-related phenotypes. Genome-wide analyses assessed differentially methylated regions (DMRs) for sixteen age-related phenotypes (ap-DMRs) and chronological age (a-DMRs). The majority of age-related changes in DNA methylation were not associated with phenotypic measures of healthy ageing in later life. Their results suggest that in a small set of genes DNA methylation may be a candidate mechanism of mediating not only environmental, but also genetic effects on age-related phenotypes.
Translational research: biomarkers as a key component
Clinical endpoint: sepsis
Surrogate endpoint: bacteremia
Clinical endpoint: prostate cancer
Surrogate endpoint: microscopic pathology
Biomarker: prostate specific antigen (PSA)
Clinical endpoint: bone fractures
Surrogate endpoint: bone mineral density
Biomarker: osteocalcin (OC), trimeric carboxyterminal telopeptide (ICTP).
In environmental health research, we cannot have control over several key components in the "usual" human health research setting. Key characteristics of both the exposure (the agent, dose, duration, route, etc.) and the exposed subject (person’s age, sex, developmental lifestage, intercurrent illnesses, nutritional status, etc.) are not controlled by the investigator. So, for environmental health research where the aim is to assess possible human health effects of exogenous exposures, how can we approximate a thorough validation process of linking biomarker(s) to surrogate endpoint(s) to clinical endpoint(s)? We must transform the usual logic of "translational" health research into an approach that "works" to move toxicology research into actionable environmental health discoveries.
Transform Research & Development programs, especially endocrine disrupter programs, to link them overtly to disease outcomes;
Link target tissue/organ/system outcomes in animal models to animal biomarkers (mostly molecular) to human biomarkers to human target organ outcomes (pathology, imaging and functional)
Enhance predictive use of animal and human biomarker data sets by development of circumscribed computational (mathematical, statistical, knowledge-base, even simple schematic) model development.
Timing of interventions for prevention or mitigation
We do need to consider that there may need to be sustained, continuing interventions for certain adverse effects/disease predispositions that are the result of environmental exposures. Nevertheless, key windows for interventions are likely to be the same as those in which adverse effects are elicited. Thus, in utero/neonatal/early childhood, adolescent/peri-pubertal and then menopausal transition in women may be particularly responsive since organizational/re-organizational processes are biologically dynamic in those intervals.
What are the prospects for screening pregnant women for exposures of concern and then implementation of mitigation strategies? Perhaps the current compliance of obstetrical practices in terms of testing in prenatal care is a guide. Siddique et al.  examined whether the frequency of four screening tests during prenatal care conforms to evidence of effectiveness. The investigators estimated rates of urine culture, anemia screening, oral glucose tolerance test (OGTT), and urinalysis during prenatal care by use of national probability samples of office visits to physicians (National Ambulatory Medical Care Survey) and to hospital outpatient departments (National Hospital Ambulatory Medical Care Survey) from 2001 to 2006. These data were compared to recommendations from the U.S. Preventive Services Task Force (USPSTF). On average, women received a urine culture in less than half of pregnancies. Women received just over one anemia screening on average per pregnancy. From 2001–2003, women received an average of 5.6 urinalyses per pregnancy; the average dropped to 4.3 urinalyses per pregnancy in 2004–2006. On average, women received just under one OGTT per pregnancy. Compared to younger white women, minorities and older women tend to get more anemia screenings, urine cultures, and OGTTs. Compared to USPSTF recommendations, too few women are receiving a urine culture during prenatal care. In contrast, women receive far too many urinalyses, but the rate appears to be falling. Anemia screening conforms closely to recommendations. The USPSTF does not recommend for or against universal diabetes screening using OGTT. Women appear to receive OGTT routinely.
Obstetrical examples of interventions for fetal/neonatal/lifelong well-being
Treatments commonly given to pregnant women for fetal benefit across the lifespan
Neural tube defects
Reduction in risk of neural tube defects
American Academy of Pediatrics Committee on Genetics 
U.S. Preventive Services Task Force 
Vision and cognitive function
Docosahexaenoic acid (DHA)
Support optimal visual and cognitive development
Koletzko et al. 
Nicotine and/or N-acetylcysteine (NAC)
Smoking cessation and/or chemoprevention of DNA (and other) damage
Coleman et al. 
De Flora et al. 
Van Schooten et al. 
Maternal (and fetal)hypothyroidism
Thyroid hormone therapy
Avoid potential damage to neural development
Abalovich et al. 
Rivkees & Mandel 
Shields et al. 
Kuppens et al. 
Lazarus et al. 
Cerebral palsy associated with preterm delivery
Magnesium sulfate (MgSO4)
Reduction in risk of cerebral palsy/ motor disorders in childhood
Nelson & Grether 
Rouse et al. 
Conde-Agudelo & Romero 
Doyle et al. 
Two studies by Ibanez et al. [96, 97] suggest that the peri-pubertal interval may be an important developmental window in which therapeutic interventions can be safely and effectively administered to mitigate the adverse health impact of earlier exposure to developmental stressors. Low-birthweight (LBW) girls with precocious pubarche (PP) are at risk for an early menarche (<12 years), an adult stature below target level, and PCOS. Hyperinsulinemic insulin resistance is thought to be a key factor. Therefore Ibanez et al.  studied the effects of early metformin treatment on menarche, height, and polycystic ovary syndrome (PCOS) markers as an open-label, randomized study in thirty-eight LBW-PP girls. At age 8 years, girls were randomly assigned to remain untreated or to receive metformin for 4 years; subsequently, both subgroups were followed without treatment until each girl was postmenarcheal. At last assessment, girls in each subgroup were on average 2 years beyond menarche; the mean growth velocity was below 2 cm/years. Age at menarche was 11.4 ± 0.1 years in untreated girls and 12.5 ± 0.2 years in metformin-treated girls; the latter girls were taller and much leaner (with less visceral and hepatic fat) and had more favorable levels of circulating insulin, androgens, and lipids. The conclusions were that early metformin therapy (age ~ 8–12 years) delayed menarche; augmented postmenarcheal height; reduced total, visceral, and hepatic adiposity; and curbed the endocrine-metabolic course of LBW-PP girls away from adolescent PCOS. In their second study, Ibanez et al.  compared the capacity of early vs. late metformin treatment to prevent adolescent PCOS. This was a randomized, open-label study over 7 yr in the thirty-eight LBW-PP girls who were followed up from the mean age 8 until age 15 yr. Early metformin was study yr 1–4; age 8–12 yr while late metformin was yr 6; age 13–14 yr. None of the girls dropped out of the study. At age 15 yr, early-metformin girls were taller (4 cm), were in a less proinflammatory state, and had less central fat due to reductions in visceral and hepatic fat. Hirsutism, androgen excess, oligomenorrhea, and PCOS were between 2- and 8-fold more prevalent in late- than early-treated girls. Abdominal adiposity was the first variable to diverge (at age 8–10 yr) between girls without vs. with PCOS at age 15 yr. The investigators conclude that in LBW-PP girls, early metformin therapy was found to prevent or delay the development of hirsutism, androgen excess, oligomenorrhea, and PCOS more effectively than late metformin. They suggest that the time window of late childhood and early puberty may be more critical for the development, and thus for the prevention, of adolescent PCOS than the first years beyond menarche.
We need to broadly reorient perspectives to make toxicology and/or environmental health an active human health-promoting process. We cannot continue to rely on the existing dichotomy; on one hand, we have laboratory-based molecular, cellular and animal models data while on the other hand we have epidemiological and exposure assessment data. We are convinced that linking these types of data and scientific insights can be done and this is the crux of moving toxicology into an active translational research and interventional science.
Hormone signaling pathways may serve as mediators of reproductive and developmental effects and earliest indication of exposure. These early exposures may have later effects which may differ across the lifespan depending on other critical hormonal activities in the body.
Exposures are inevitable and the body either builds or has resilience or resistance to the adverse effects, or due to earlier exposures losses its ability to resist and succumbs to disease. The earlier exposures that cause the body to lose its ability to avoid disease in response to environmental factors needs to be evaluated.
Stem/progenitor cell populations must be a key component to recovery/resilience to insults and provide a capacity to recover/respond/heal either from the exposure of interest or to multiple future or concurrent insults later in development or across the lifespan.
Lab animals, ecological (wildlife) exposures, companion animals, and livestock can serve as bio-monitors and formal ways of getting observations from these populations into the knowledge base on human relevance need to be adopted.
A number of contemporary analytical techniques are available to detect and quantify exposures and effects. These methodological tools are widely called "biomarkers" and cover a rather wide range of techniques/technologies from DNA sequences of individual genes, to FACS of cell subpopulations, to 3-D reconstruction of tissues and organs from pathology slides, to whole body imaging with CT and/or fMRI, etc. Techniques such as "shotgun" proteomics and metabolomics offer further broad scope approaches for assessing responses of cells, tissues or organisms to external signals or stressors. Appropriate recognition of how biomarkers relate to disease outcomes in humans is critical to moving environmental toxicology from its current state to producing effective intervention strategies.
How do we best develop and gain insight by comparisons of critical windows in animal/cellular models to understand the human consequences for effects and the opportunities for protective interventions?
The one (or ones) that are known modes of action of the compound(s) such as most of the EPA Endocrine Disruptor Screening Program Tier 1 Screening Assays .
Number 1 is the "silver bullet" or "searching for the lost keys under the lamp-post" while number 2 is "casting the broad net upon the waters" or "searching in the dark." Both need to be done. Number 1 because it relies on using all that we know to trace a straight line between exposure, effect and prospects for mitigation; number 2 because chemicals (even those highly selected to have a very specific action via even a single molecular process, e.g., drugs) have actions in multiple molecular/cellular sites, and biological organisms and components are rife with pleiotropic and redundant systems. So, techniques that broadly ask what effects might result from exposures are essential for translational toxicology. The sorts of techniques that can "cast a broad net" to possibly let us see (previously) unknown modes of action include metabolomics, some forms of proteomics, assays of mutagenic and epigenetic effects, stem cell/progenitor cell/cell fate/cell sorting methods, histomorphometry and advanced microscopy techniques, circulating molecules (hormones, microRNAs, etc.), anatomical and functional morphology imaging methods. These approaches must be core components of the research and development strategy if translational environmental health is to advance and favorably impact public health.
The pregnant woman and her fetus are exposed to many chemicals. These chemicals include environmental chemicals, dietary components, over-the-counter drugs, prescription drugs, substances of abuse (tobacco, alcohol and drugs of abuse) and herbal and related products.
Any of these may affect the fetus via many potential modes of action such as epigenetic, mutational, endocrine, stem cell, and a multitude of other signaling pathways (G protein receptors, ion channels, etc.).
We will depend upon use of biomarkers to assess actions of those compounds and to establish meaning for clinical outcomes. Readily measured biomarkers will have to be linked to surrogate outcomes which have to be representative of clinical outcomes.
In order to give substance to the term "translational", we must develop ethical and effective interventions to complement exposure reduction so that the adverse health effects of exposures can be prevented, reversed or mitigated.
CH – MD, PhD: Executive Director, Cardiovascular and Metabolic Unit, Quintiles, Inc., Morrisville, NC, USA; Department of Obstetrics & Gynecology, Duke University Medical Center; Department of Mathematics, North Carolina State University; Department of Pathology/Comparative Medicine, Wake Forest University
MW –PhD: Chief Scientist, Integrated laboratory Systems, Inc., Research Triangle Park, NC, USA.
DA – PhD: Chief of Staff, Integrated laboratory Systems, Inc., Research Triangle Park, NC, USA.
IO – DVM, PhD: Advanced Leadership Fellow, Harvard University, Cambridge, MA, USA.
Antral follicle count
Cell cycle-related kinase
Centers for Disease Control
Central nervous system
C-X-C chemokine receptor type 4
Differentially methylated regions
Endocrine Disruptor Screening and Testing Advisory Committee
Fluorescence activated cell sorting
Food and Drug Administration
Diagnostic and Statistical Manual of Mental Disorders
environmental tobacco smoke
Food frequency questionnaire
functional magnetic resonance imaging
Growth Hormone/Insulin-like growth factor 1
Hematopoietic stem cells
Trimeric carboxyterminal telopeptide
Infant Neurological International Battery
Long-term repopulation of hematopoietic stem cells
Magnetic resonance imaging
National Health and Nutritional Examination Survey
National Health Interview Survey
Oral glucose tolerance test
Over the counter
Polybrominated diphenyl ethers
Polycystic ovary syndrome
Positron emission tomography
Prostate specific antigen
Reverse transcriptase polymerase chain reaction
Salivary cotinine levels
Short inhibitory ribonucleic acids
Tissue-committed stem cells
The Endocrine Disruption Exchange
U.S. Preventive Services Task Force
Vascular cell adhesion protein 1.
- McArdle H, Ashworth C: Micronutrients in fetal growth and development. Br Med Bull. 1999, 55 (3): 499-510. 10.1258/0007142991902574.View ArticlePubMedGoogle Scholar
- Radtke K, Ruf M, Gunter H, Dohrmann K, Schauer M, Meyer A, Elbert T: Transgenerational impact of intimate partner violence on methylation in the promoter of the glucocorticoid receptor. Translational Psychiatry. 2011, 1 e21: 1-6. doi:10.1038/tp.2011.21Google Scholar
- Borghol N, Suderman M, McArdle W, Racine A, Hallett M, Pembrey M, Hertzman C, Power C, Szyf M: Associations with early-life socio-economic position in adult DNA methylation. Int J Epidemiol. 2012, 41 (1): 62-74. 10.1093/ije/dyr147.View ArticlePubMedGoogle Scholar
- Tung J, Barreiroa L, Johnson Z, Hansenc K, Michopoulos V, Toufexis D, Michelinia K, Wilson M, Gilada Y: Social environment is associated with gene regulatory variation in the rhesus macaque immune system. PNAS. 2012, 109: 6490-6495. 10.1073/pnas.1202734109.View ArticlePubMedPubMed CentralGoogle Scholar
- Golden S, Robinson K, Saldanha I, Anton B, Ladenson P: Prevalence and incidence of endocrine and metabolic disorders in the United States: a comprehensive review. J Clin Endocrinol Metab. 2009, 94: 1853-1878. 10.1210/jc.2008-2291.View ArticlePubMedGoogle Scholar
- Swinburn BA, Sacks G, Hall KD, McPherson K, Finegood DT, Moodie ML: The global obesity pandemic: shaped by global drivers and local environments. Lancet. 2011, 378 (9793): 804-814. 10.1016/S0140-6736(11)60813-1.View ArticlePubMedGoogle Scholar
- Wang YC, McPherson K, Marsh T, Gortmaker SL, Brown M: Health and economic burden of the projected obesity trends in the USA and the UK. Lancet. 2011, 378 (9793): 815-825. 10.1016/S0140-6736(11)60814-3.View ArticlePubMedGoogle Scholar
- Lambert GW, Straznicky NE, Lambert EA, Dixon JB, Schlaich MP: Sympathetic nervous activation in obesity and the metabolic syndrome–causes, consequences and therapeutic implications. Pharmacol Ther. 2010, 126 (2): 159-172. 10.1016/j.pharmthera.2010.02.002.View ArticlePubMedGoogle Scholar
- Chouchane L, Danguir J, Beji C, Bouassida K, Camoin L, Sfar H: Genetic variation in the stress protein hsp70-2 gene is highly associated with obesity. Int J Obes Relat Metab Disord. 2001, 25 (4): 462-466. 10.1038/sj.ijo.0801545.View ArticlePubMedGoogle Scholar
- Early Childhood Obesity Prevention Policies. Edited by: Birch L, Parker L, Burns A, Editors for the Committee on Obesity Prevention Policies for Young Children. 2011, Washington, DC: The National Academies PressGoogle Scholar
- Lloyd L, Langley-Evans S, McMullen S: Childhood obesity and risk of the adult metabolic syndrome: a systematic review. Int J Obes (Lond). 2012, 36: 1-11. 10.1038/ijo.2011.186.View ArticleGoogle Scholar
- Kirk SFL, Kuhle S, Ohinmaa A, Colman I, Veugelers , Paul J: Health care utilization from prevalent medical conditions in normal-weight, overweight, and obese children. J Pediatr. 2012, 160: 216-221. 10.1016/j.jpeds.2011.08.015.View ArticlePubMedGoogle Scholar
- Wang G, Dietz WH: Economic burden of obesity in youths aged 6 to 17 years: 1979–1999. Pediatrics. 2002, 109 (5): E81-81. 10.1542/peds.109.5.e81.View ArticlePubMedGoogle Scholar
- Ogden C, Carroll MD, Kit BK, Flegal KM: Prevalence of obesity and trends in body mass index among US children and adolescents, 1999–2010. JAMA. 2012, 307 (5): 483-490. 10.1001/jama.2012.40.View ArticlePubMedGoogle Scholar
- Salois MJ: The built environment and obesity among low-income preschool children. Health Place. 2012, 18 (3): 520-527. 10.1016/j.healthplace.2012.02.002.View ArticlePubMedGoogle Scholar
- Guilloteau P, Zabielski R, Hammon HM, Metges CC: Adverse effects of nutritional programming during prenatal and early postnatal life, some aspects of regulation and potential prevention and treatments. J Physiol Pharmacol. 2009, 60 (Suppl 3): 17-35.PubMedGoogle Scholar
- Pryor J, Hughes C, Foster W, Hales B, Robaire B: Critical windows of exposure for children’s health: the reproductive system in animals and humans. Environ Health Perspect. 2000, 108 (Suppl 3): 491-503.View ArticlePubMedPubMed CentralGoogle Scholar
- Euling SY, Selevan SG, Pescovitz OH, Skakkebaek NE: Role of environmental factors in the timing of puberty. Pediatrics. 2008, 121 (Supplement 3): S167-S171. doi:10.1542/peds.2007-1813CView ArticlePubMedGoogle Scholar
- Fisch GS: Nosology and epidemiology in autism: classification counts. Am J Med Genet C Semin Med Genet. 2012, 160C (2): 91-103. 10.1002/ajmg.c.31325. doi:10.1002/ajmg.c.31325View ArticlePubMedGoogle Scholar
- Christensen J, Grønborg TK, Sørensen MJ, Schendel D, Parner ET, Pedersen LH, Vestergaard M: Prenatal valproate exposure and risk of autism spectrum disorders and childhood autism. JAMA. 2013, 309 (16): 1696-1703. 10.1001/jama.2013.2270.View ArticlePubMedPubMed CentralGoogle Scholar
- Benach JL, Li E, McGovern MM: A microbial association with autism. MBio. 2012, 14 (1): 3-doi: 10.1128/mBio.00019-12Google Scholar
- Becker KG: Male gender bias in autism and pediatric autoimmunity. Autism Res. 2012, 5 (2): 77-83. 10.1002/aur.1227. doi:10.1002/aur.1227View ArticlePubMedPubMed CentralGoogle Scholar
- Rai D, Lewis G, Lundberg M, Araya R, Svensson A, Dalman C, Carpenter P, Magnusson C: Parental socioeconomic status and risk of offspring autism spectrum disorders in a Swedish population-based study. J Am Acad Child Adolesc Psychiatry. 2012, 51 (5): 467-476. 10.1016/j.jaac.2012.02.012. e6. doi:10.1016/j.jaac.2012.02.012View ArticlePubMedGoogle Scholar
- Wang L, Leslie DL: Health care expenditures for children with autism spectrum disorders in Medicaid. J Am Acad Child Adolesc Psychiatry. 2010, 49 (11): 1165-1171. doi:10.1016/j.jaac.2010.08.003PubMedPubMed CentralGoogle Scholar
- Suren P, Roth C, Bresnahan M, Haugen M, Hornig M, Hirtz D: Association between maternal use of folic acid supplements and risk of autism spectrum disorders in children. JAMA. 2013, 309 (6): 570-577. 10.1001/jama.2012.155925.View ArticlePubMedPubMed CentralGoogle Scholar
- Grimes D, Schulz K, Raymond E: Surrogate end points in women’s health research: science, protoscience, and pseudoscience. Fertil Steri l. 2010, 93: 1731-1734. 10.1016/j.fertnstert.2009.12.054.View ArticleGoogle Scholar
- Hale GE, Hughes CL, Burger HG, Robertson DM, Fraser IS: Atypical estradiol secretion and ovulation patterns caused by luteal out-of-phase (LOOP) events underlying irregular ovulatory menstrual cycles in the menopausal transition. Menopause. 2009, 16 (1): 50-59. 10.1097/gme.0b013e31817ee0c2.View ArticlePubMedGoogle Scholar
- West P, Weir A, Smith A, Donley E, Cezar G: Predicting human developmental toxicity of pharmaceuticals using human embryonic stem cells and metabolomics. Toxicol Appl Pharmacol. 2010, 247: 18-27. 10.1016/j.taap.2010.05.007.View ArticlePubMedGoogle Scholar
- Patti G, Yanes O, Siuzdak G: Metabolomics: the apogee of the omics trilogy. Nat Rev Mol Cell Biol. 2012, 13: 263-269. 10.1038/nrm3314.View ArticlePubMedPubMed CentralGoogle Scholar
- Rottiers V, Näär A: MicroRNAs in metabolism and metabolic disorders. Nat Rev Mol Cell Biol. 2012, 13: 239-250. 10.1038/nrm3313.View ArticlePubMedPubMed CentralGoogle Scholar
- Kim J, Im J, Lee D: The relationship between leukocyte mitochondrial DNA contents and metabolic syndrome in postmenopausal women. Menopause. 2012, 19 (5): 582-587. 10.1097/gme.0b013e31823a3e46.View ArticlePubMedGoogle Scholar
- Lemasters GK, Perreault SD, Hales BF, Hatch M, Hirshfield AN, Hughes CL: Workshop to identify critical windows of exposure for children’s health: Reproductive Health in Children and Adolescents Work Group summary. Environ Health Perspect. 2000, 108 (Suppl 3): 505-509.View ArticlePubMedPubMed CentralGoogle Scholar
- Holtcamp W: Obesogens: an environmental link to obesity. Environ Health Perspect. 2012, 120 (2): a62-a68. 10.1289/ehp.120-a62.View ArticlePubMedPubMed CentralGoogle Scholar
- Clausen T, Mathiesen E, Hansen T, Pedersen O, Jensen D, Lauenborg J, Schmidt L, Damm P: Overweight and the metabolic syndrome in adult offspring of women with diet-treated gestational diabetes mellitus or type 1 diabetes. J Clin Endocrinol Metab. 2009, 94: 2464-2470. 10.1210/jc.2009-0305.View ArticlePubMedGoogle Scholar
- Palou M, Priego T, Sanchez J, Torrens J, Palou A, Pico C: Moderate caloric restriction in lactating rats protects offspring against obesity and insulin resistance in later life. Endocrinology. 2010, 151: 1030-1041. 10.1210/en.2009-0934.View ArticlePubMedGoogle Scholar
- Hart R, Sloboda D, Doherty D, Norman R, Atkinson H, Newnham J, Dickinson J, Hickey M: Circulating maternal testosterone concentrations at 18 weeks of gestation predict circulating levels of antimullerian hormone in adolescence: a prospective cohort study. Fertil Steril. 2010, 94: 1544-1547. 10.1016/j.fertnstert.2009.12.060.View ArticlePubMedGoogle Scholar
- Robertson DM, Hale GE, Fraser IS, Hughes CL, Burger HG: A proposed classification system for menstrual cycles in the menopause transition based on changes in serum hormone profiles. Menopause. 2008, 15 (6): 1139-1144. 10.1097/gme.0b013e3181735687.View ArticlePubMedGoogle Scholar
- Gunatilake R, Patil AS: Drugs in pregnancy. The Merck Manual for Health Care Professionals Online. Edited by: Porter RS, Kaplan JL. 2013, 1-9.http://www.merckmanuals.com/professional/gynecology_and_obstetrics/drugs_in_pregnancy/drugs_in_pregnancy.html,Google Scholar
- Wilkes J, Clark L, Herrera J: Acetaminophen overdose in pregnancy. South Med J. 2005, 98 (11): 1118-1122. 10.1097/01.smj.0000184792.15407.51.View ArticlePubMedGoogle Scholar
- Rebordosa C, Kogevinas M, Horváth-Puhó E, Nørgård B, Morales M, Czeizel AE, Vilstrup H, Sørensen HT, Olsen J: Acetaminophen use during pregnancy: effects on risk for congenital abnormalities. Am J Obstet Gynecol. 2008, 198 (2): 178.e1-178.e7. 10.1016/j.ajog.2007.08.040.View ArticleGoogle Scholar
- Snijder C, Kortenkamp A, Steegers E, Jaddoe V, Hofman A, Hass U, Burdorf A: Intrauterine exposure to mild analgesics during pregnancy and the occurrence of cryptorchidism and hypospadia in the offspring. Hum Reprod. 2012, 27 (4): 1191-1201. 10.1093/humrep/der474.View ArticlePubMedGoogle Scholar
- Gedzelman E, Meador K: Antiepileptic drugs in women with epilepsy during pregnancy. Ther Adv in Drug Safe. 2012, 3 (2): 71-87. 10.1177/2042098611433192.View ArticleGoogle Scholar
- Johnson K, LaPrairie J, Brennan P, Stowe Z, Newport J: Prenatal antipsychotic exposure and neuromotor performance during infancy. Arch Gen Psychiatry. 2012, 69: 787-794. 10.1001/archgenpsychiatry.2012.160.View ArticlePubMedPubMed CentralGoogle Scholar
- Daw J, Mintzes B, Law M, Hanley G, Morgan S: Prescription drug use in pregnancy: a retrospective, population-based study in British Columbia, Canada (2001–2006). Clin Ther. 2012, 34: 239-249. 10.1016/j.clinthera.2011.11.025.View ArticlePubMedGoogle Scholar
- Iqbal M, Sobhan T, Ryals T: Benzodiazepines on the fetus, the neonate, and the nursing infant. Psychiatr Serv. 2002, 53: 39-49. 10.1176/appi.ps.53.1.39.View ArticlePubMedGoogle Scholar
- Nutrition Committee, Canadian Paediatric Society (CPS): Concerns for the use of soy-based formulas in infant nutrition. Paediatr Child Health. 2009, 14 (3): 109-113.Google Scholar
- TEDX (The Endocrine Disruption Exchange 2013): The TEDX list of potential endocrine disruptors.http://www.endocrinedisruption.org,
- Frankenfeld C, Patterson R, Horner N, Neuhouser M, Skor H, Kalhorn T, Howald W, Lampe J: Validation of a soy food-frequency questionnaire and evaluation of correlates of plasma isoflavone concentrations in postmenopausal women. Am J Clin Nutr. 2003, 77: 674-680.PubMedGoogle Scholar
- Engel S, Levy B, Liu Z, Kaplan D, Wolff M: Xenobiotic phenols in early pregnancy amniotic fluid. Reprod Toxicol. 2006, 21: 110-112. 10.1016/j.reprotox.2005.07.007.View ArticlePubMedGoogle Scholar
- Woodruff T, Zota A, Schwartz J: Environmental chemicals in pregnant women in the United States: NHANES 2003–2004. Environ Health Perspect. 2011, 119: 878-885. 10.1289/ehp.1002727. doi:10.1289/ehp.1002727View ArticlePubMedPubMed CentralGoogle Scholar
- Wu C, Wang C, Kennedy J: Changes in herb and dietary supplement use in the US adult population: a comparison of the 2002 and 2007 National Health Interview Surveys. Clin Ther. 2011, 2011 (33): 1749-1758.View ArticleGoogle Scholar
- La Maestra S, Kisby G, Micale R, Johnson J, Kow Y, Bao , Sheppard C, Stanfield S, Tran H, Woltjer R, D’Agostini F, Steele V, De Flora S: Cigarette smoke induces DNA damage and alters base-excision repair and Tau levels in the brain of neonatal mice. Toxicol Sci. 2011, 123: 471-479. 10.1093/toxsci/kfr187. doi:10.1093/toxsci/kfr187View ArticlePubMedPubMed CentralGoogle Scholar
- Wang X, Tager I, Van Vunakis H, Speizer F, Hanrahan J: Maternal smoking during pregnancy, urine cotinine concentrations, and birth outcomes. a prospective cohort study. Int J Epidemiol. 1997, 26: 978-988. 10.1093/ije/26.5.978. doi:10.1093/ije/26.5.978View ArticlePubMedGoogle Scholar
- El-Mohandes A, Kiely M, Gantz M, Blake S, El-Khorazaty M: Prediction of birth weight By cotinine levels during pregnancy in a population of black smokers. Pediatrics. 2009, 124: e671-e680. 10.1542/peds.2008-3784.View ArticlePubMedPubMed CentralGoogle Scholar
- Dietz P, Homa D, England L, Burley K, Tong V, Dube S, Bernert J: Estimates of nondisclosure of cigarette smoking among pregnant and nonpregnant women of reproductive age in the United States. Am J Epidemiol. 2011, 173: 355-359. 10.1093/aje/kwq381. doi:10.1093/aje/kwq381View ArticlePubMedGoogle Scholar
- Wright T, Milam K, Rougee L, Tanaka M, Collier A: Agreement of umbilical cord drug and cotinine levels with maternal self-report of drug use and smoking during pregnancy. J Perinatol. 2011, 31: 324-329. 10.1038/jp.2010.132. doi:10.1038/jp.2010.132View ArticlePubMedGoogle Scholar
- Centers for Diseases Control: Tobacco use and pregnancy. 2013,http://www.cdc.gov/reproductivehealth/tobaccousepregnancy/,Google Scholar
- American College of Obstetricians and Gynecologists: At-risk drinking and alcohol dependence: obstetric and gynecologic implications. Committee Opinion. 2011, 496: 1-6.Google Scholar
- Tracy E: Alcohol: an unfortunate teratogen. OBG Management. 2013, 25: 37-45.Google Scholar
- NIDA: Topics in brief: prenatal exposure to drugs of abuse, a research update from the National Institute on Drug Abuse. 2011,http://www.drugabuse.gov,Google Scholar
- Gouzoulis-Mayfrank E, Daumann J: Neurotoxicity of drugs of abuse - the case of methylenedioxyamphetamines (MDMA, ecstacy), and amphetamines. Dialogues Clin Neurosci. 2009, 11 (3): 305-317.PubMedPubMed CentralGoogle Scholar
- Alexander SPH, Mathie A, Peters JA: Guide to receptors and channels (GRAC), 5th edn. Br J Pharmacol. 2011, 164 (Suppl. 1): S1-S324.View ArticlePubMedGoogle Scholar
- Vandenberg L, Colborn T, Hayes T, Heindel J, Jacobs D, Lee D, Shioda T, Soto A, vom Saal F, Welshons W, Zoeller R, Myers J: Hormones and endocrine-disrupting chemicals: low-dose effects and nonmonotonic dose responses. Endocr Rev. 2012, 33: 378-455. 10.1210/er.2011-1050.View ArticlePubMedPubMed CentralGoogle Scholar
- Birnbaum L: Environmental chemicals: evaluating low-dose effects. Environ Health Perspect. 2012, 120: A143-144. 10.1289/ehp.1205179. doi:10.1289/ehp.1205179View ArticlePubMedPubMed CentralGoogle Scholar
- Ali H, Al-Mulla F: Defining umbilical cord blood stem cells. Stem Cell Discovery. 2012, 2: 15-23. 10.4236/scd.2012.21003. doi:10.4236/scd.2012.21003View ArticleGoogle Scholar
- Lapid K, Chen Glait-Santar C, Shiri Gur-Cohen S, Canaani J, Kollet O, Lapidot T: Egress and mobilization of hematopoietic stem and progenitor cells: a dynamic multi-facet process. Stem Book. Edited by: Melton D, Girard L. 2013, 1940-3429.http://www.stembook.org/node/762,Google Scholar
- Messner H: Stem cells: the challenge and opportunities. Bone Marrow Transplant. 2008, 42 (Suppl 1): S57-S59.View ArticlePubMedGoogle Scholar
- Kavanagh DP, Durant LE, Crosby HA, Lalor PF, Frampton J, Adams DH: Haematopoietic stem cell recruitment to injured murine liver sinusoids depends on (alpha)4(beta)1 integrin/VCAM-1 interactions. Gut. 2010, 59: 79-87. 10.1136/gut.2008.168054.View ArticlePubMedGoogle Scholar
- Broad Institute: "The Connectivity Map.". 2012,http://www.broadinstitute.org/cmap/,Google Scholar
- Feng H, Cheng AS, Tsang DP, Li MS, Go MY, Cheung YS: Cell cycle-related kinase is a direct androgen receptor-regulated gene that drives beta-catenin/T cell factor-dependent hepatocarcinogenesis. J Clin Invest. 2011, 121: 3159-3175. 10.1172/JCI45967.View ArticlePubMedPubMed CentralGoogle Scholar
- Reamon-Buettner S, Mutschler V, Borlak J: The next innovation cycle in toxicogenomics: environmental epigenetics. Mutat Res. 2008, 659: 158-165. 10.1016/j.mrrev.2008.01.003.View ArticlePubMedGoogle Scholar
- Ng S, Lin R, Laybutt D, Barres R, Owens J, Morris M: Chronic high-fat diet in fathers programs b-cell dysfunction in female rat offspring. Nature. 2010, 96: 963-967.View ArticleGoogle Scholar
- Mathers JC, Strathdee G, Relton CL: Induction of epigenetic alterations by dietary and other environmental factors. Adv Genet. 2010, 71: 3-39.View ArticlePubMedGoogle Scholar
- Jousse C, Parry L, Lambert-Langlais S, Maurin AC, Averous J, Bruhat A, Carraro V, Tost J, Letteron P, Chen P, Jockers R, Launay JM, Mallet J, Fafournoux P: Perinatal undernutrition affects the methylation and expression of the leptin gene in adults: implication for the understanding of metabolic syndrome. FASEB J. 2011, 25: 3271-3278. 10.1096/fj.11-181792.View ArticlePubMedGoogle Scholar
- Kooistra S, Helin K: Molecular mechanisms and potential functions of histone demethylases. Nat Rev Mol Cell Biol. 2012, 13: 297-311. 10.1038/nrg3219. doi:10.1038/nrm3327PubMedGoogle Scholar
- Hanover JA, Krause MW, Love DC: Bittersweet memories: linking metabolism to epigenetics through O-GlcNAcylation. Nat Rev Mol Cell Biol. 2012, 13: 312-321. 10.1038/nrm3334. doi:10.1038/nrm3334View ArticlePubMedGoogle Scholar
- Bell J, Tsai P, Yang T, Pidsley R, Nisbet J, Glass D, Mangino M, Zhai G, Zhang F, Valdes A, Shin S, Dempster E, Murray R, Grundberg E, Hedman A, Nica A, Small K, Dermitzakis E, McCarthy M, Mill J, Spector T, Deloukas P, The MuTHER Consortium: Epigenome-wide scans identify differentially methylated regions for age and age-related phenotypes in a healthy ageing population. PLoS Genet. 2012, 8 (4): e1002629:1-e1002629:12.View ArticleGoogle Scholar
- Siddique J, Lantos J, VanderWeele T, Lauderdale D: Screening tests during prenatal care: does practice follow the evidence?. Matern Child Health J. 2012, 16: 51-59.View ArticlePubMedGoogle Scholar
- Pauli JM, Repke JT: Update: obstetrics. OBG Management. 2013, 25: 28-31.Google Scholar
- American Academy of Pediatrics Committee on Genetics: Folic acid for the prevention of neural tube defects. Pediatrics. 1999, 104: 325-327.View ArticleGoogle Scholar
- U.S. Preventive Services Task Force: Folic acid for the prevention of neural tube defects: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med. 2009, 150: 626-631.View ArticleGoogle Scholar
- Koletzko B, Lien E, Agostoni C, Böhles H, Campoy C, Cetin I, Decsi T, Dudenhausen JW, Dupont C, Forsyth S, Hoesli I, Holzgreve W, Lapillonne A, Putet G, Secher NJ, Symonds M, Szajewska H, Willatts P, Uauy R, World Association of Perinatal Medicine Dietary Guidelines Working Group: The roles of long-chain polyunsaturated fatty acids in pregnancy, lactation and infancy: review of current knowledge and consensus recommendations. J Perinat Med. 2008, 36: 5-14.PubMedGoogle Scholar
- Coleman T, Cooper S, Thornton J, Grainge M, Watts K, Britton J, Lewis S, for the Smoking, Nicotine, and Pregnancy (SNAP) Trial Team: A randomized trial of nicotine-replacement therapy patches in pregnancy. N Engl J Med. 2012, 366: 808-818. 10.1056/NEJMoa1109582.View ArticlePubMedGoogle Scholar
- De Flora S, Izzotti A, D’Agostini F, Balansky R: Mechanisms of N-acetylcysteine in the prevention of DNA damage and cancer, with special reference to smoking-related end-points. Carcinogenesis. 2001, 22: 999-1013. 10.1093/carcin/22.7.999.View ArticlePubMedGoogle Scholar
- Van Schooten F, Nia A, De Flora S, D’Agostini F, Izzotti A, Camoirano A, Balm A, Dallinga J, Bast A, Haenen G, Van’t Veer L, Baas P, Sakai H, Van Zandwijk N: Effects of oral administration of N-acetyl-L-cysteine: a multi-biomarker study in smokers. Cancer Epidemiol Biomarkers Prev. 2002, 11: 167-175.PubMedGoogle Scholar
- Abalovich M, Amino N, Barbour L, Cobin R, De Groot L, Glinoer D, Mandel S, Stagnaro-Green A: Management of thyroid dysfunction during pregnancy and postpartum: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2007, 92 (Suppl): S1-S47.View ArticlePubMedGoogle Scholar
- Rivkees S, Mandel S: Thyroid disease in pregnancy. Horm Res Paediatr. 2011, 76 (Suppl. 1): 91-96.View ArticlePubMedGoogle Scholar
- Shields B, Knight B, Hill A, Hattersley A, Vaidya B: Fetal thyroid hormone level at birth is associated with fetal growth. J Clin Endocrinol Metab. 2011, 96 (6): E934-E938. 10.1210/jc.2010-2814.View ArticlePubMedPubMed CentralGoogle Scholar
- Kuppens S, Kooistra L, Wijnen H, Vader H, Hasaart T, Oei S, Vulsma T, Pop V: Neonatal thyroid screening results are related to gestational maternal thyroid function. Clin Endocrinol (Oxf). 2011, 75: 382-387. 10.1111/j.1365-2265.2011.04083.x.View ArticleGoogle Scholar
- Lazarus J, Bestwick J, Channon S, Paradice R, Maina A, Rees R, Chiusano E, John R, Guaraldo V, George L, Perona M, Dall’Amico D, Parkes A, Joomun M, Wald N: Antenatal thyroid screening and childhood cognitive function. N Engl J Med. 2012, 366: 493-501. 10.1056/NEJMoa1106104.View ArticlePubMedGoogle Scholar
- Nelson K, Grether J: Can magnesium sulfate reduce the risk of cerebral palsy in very low birthweight infants?. Pediatrics. 1995, 95: 263-269.PubMedGoogle Scholar
- Rouse D, Hirtz D, Thom E, Varner M, Spong C, Mercer B, Iams J, Wapner R, Sorokin Y, Alexander J, Harper M, Thorp J, Ramin S, Malone F, Carpenter M, Miodovnik M, Moawad A, O’Sullivan M, Peaceman A, Hankins G, Langer O, Caritis S, Roberts J, for the Eunice Kennedy Shriver NICHD Maternal–Fetal Medicine Units Network: A randomized, controlled trial of magnesium sulfate for the prevention of cerebral palsy. N Engl J Med. 2008, 359: 895-905. 10.1056/NEJMoa0801187.View ArticlePubMedPubMed CentralGoogle Scholar
- Conde-Agudelo A, Romero R: Antenatal magnesium sulfate for the prevention of cerebral palsy in preterm infants less than 34 weeks’ gestation: a systematic review and metaanalysis. Am J Obstet Gynecol. 2009, 595-609. doi:10.1016/j.ajog.2009.04.005 June 2009Google Scholar
- Rouse D: Magnesium sulfate for the prevention of cerebral palsy. Am J Obstet Gynecol. 2009, 2009 (200): 610-612. doi:10.1016/j.ajog.2009.04.004View ArticleGoogle Scholar
- Doyle L, Crowther C, Middleton P, Marret S: Antenatal magnesium sulfate and neurologic outcome in preterm infants: a systematic review. Obstet Gynecol. 2009, 113: 1327-1333.View ArticlePubMedGoogle Scholar
- Ibanez L, Lopez-Bermejo A, Diaz M, Marcos MV, De Zegher F: Early metformin therapy to delay menarche and augment height in girls with precocious pubarche. Fertil Steril. 2011, 95: 727-730. 10.1016/j.fertnstert.2010.08.052.View ArticlePubMedGoogle Scholar
- Ibanez L, Lopez-Bermejo A, Diaz M, Marcos MV, De Zegher F: Early metformin therapy (age 8–12 years) in girls with precocious pubarche to reduce hirsutism, androgen excess, and oligomenorrhea in adolescence. J Clin Endocrinol Metab. 2011, 96: E1262-E1267. 10.1210/jc.2011-0555.View ArticlePubMedGoogle Scholar
- U.S. Enviromental Protection Agency: Endocrine Disruptor Screening Program. 2013,http://www.epa.gov/endo/pubs/edspoverview/edstac.htm,Google Scholar
- Van Ravenzwaay B, Coelho-Palermo Cunha G, Leibold E, Looser R, Mellert W, Prokoudine A, Walk T, Wiemer J: The use of metabolomics for the discovery of new biomarkers of effect. Toxicol Lett. 2007, 172: 21-28. 10.1016/j.toxlet.2007.05.021.View ArticlePubMedGoogle Scholar
- Robertson DG, Watkins PB, Reily MD: Metabolomics in toxicology: preclinical and clinical applications. Toxicol Sci. 2011, 120 (Suppl 1): S146-S170. doi:10.1093/toxsci/kfq358View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/2050-6511/14/51/prepub