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Pilot study of urinary biomarkers of phytoestrogens, phthalates, and phenols in girls.


BACKGROUND: Hormonally active environmental agents have been measured among U.S. children using exposure biomarkers in urine. However, little is known about their variation by race, age, sex, and geography, and no data exist for newly developed biomarkers.

OBJECTIVE: Our goal was to characterize relevant, prevalent exposures for a study of female pubertal development.

METHODS: In a pilot study among 90 girls from New York City New York City: see New York, city.
New York City

City (pop., 2000: 8,008,278), southeastern New York, at the mouth of the Hudson River. The largest city in the U.S.
, New York New York, state, United States
New York, Middle Atlantic state of the United States. It is bordered by Vermont, Massachusetts, Connecticut, and the Atlantic Ocean (E), New Jersey and Pennsylvania (S), Lakes Erie and Ontario and the Canadian province of
, Cincinnati, Ohio “Cincinnati” redirects here. For other uses, see Cincinnati (disambiguation).
Cincinnati is a city in the U.S. state of Ohio and the county seat of Hamilton County.
, and northern California Northern California, sometimes referred to as NorCal, is the northern portion of the U.S. state of California. The region contains the San Francisco Bay Area, the state capital, Sacramento; as well as the substantial natural beauty of the redwood forests, the northern , we measured 25 urinary analytes representing 22 separate agents from three chemical families: phytoestrogens Phytoestrogens
Compounds found in plants that can mimic the effects of estrogen in the body.

Mentioned in: Premenstrual Syndrome

phytoestrogens,
n.pl plant-derived estrogen analogs.
, phthalates Phthalates, or phthalate esters, are a group of chemical compounds that are mainly used as plasticizers (substances added to plastics to increase their flexibility). They are chiefly used to turn polyvinyl chloride from a hard plastic into a flexible plastic. , and phenols phenols (fēˑ·nlz),
n.
. Exposures occur chiefly from the diet and from household or personal care products.

RESULTS: Participants represented four racial/ethnic groups (Asian, black, Hispanic, white), with mean age of 7.77 years. Most analytes were detectable in > 94% of samples. The highest median concentrations for individual analytes in each family were for enterolactone (298 [micro]g/L), monoethylphthalate (MEP MEP maximum expiratory pressure.
MEP,
n muscle energy procedure; diagnostic and therapeutic technique. Pulsed muscle energy techniques (MET) and integrated neuromuscular inhibition technique (INIT) are two examples.
; 83.2 [micro]g/L), and benzophenone-3 (BP3; 14.7 [micro]g/L). Few or no data have been reported previously for four metabolites Metabolites
Substances produced by metabolism or by a metabolic process.

Mentioned in: Interactions
: mono(2-ethyl-5-carboxypentyl) phthalate Phthal´ate

n. 1. (Chem.) A salt of phthalic acid.
, triclosan, bisphenol A Bisphenol A is a chemical compound containing two phenol functional groups. It belongs to the phenol class of aromatic organic compounds. It is widely prepared and sold and various important polymers/plastics are made from it.  (BPA BPA British Paediatric Association. ), and BP3; these were detected in 67-100% of samples with medians of 1.8-53.2 [micro]g/L. After multivariate adjustment, two analytes, enterolactone and BPA, were higher among girls with body mass index < 85th reference percentile than those at or above the 85th percentile. Three phthalate metabolites differed by race/ethnicity [MEP, mono(2-ethylhexyl) phthalate, and mono-3-carboxypropylphthalate].

CONCLUSIONS: A wide spectrum of hormonally active exposure biomarkers were detectable and variable among young girls, with high maximal concentrations (> 1,000 [micro]g/L) found for several analytes. They varied by characteristics that may be relevant to development.

KEY WORDS: biomarkers, children, exposure, phenols, phthalates, phytoestrogen phytoestrogen /phy·to·es·tro·gen/ (-es´tro-jen) any of a group of weakly estrogenic, nonsteroidal compounds widely occurring in plants.

phy·to·es·tro·gen
n.
, urine. Environ Health Perspect 115:116-121 (2007). doi:10.1289/ehp.9488 available via http://dx.doi.org/ [Online 19 October 2006]

**********

Effects of hormonally active environmental agents on early child development have been of concern, as knowledge has become available about their biological activity and about widespread exposure. For agents that are short-lived in the body (i.e., rapidly metabolized and/or eliminated), assessment of exposure biomarkers in urine is usually preferred for several reasons: The metabolites are readily detectable in urine, urine is easy to collect, and urine generally has higher concentrations of polar metabolites than other biologic media. Although exposures to many of these agents have been characterized in children [Centers for Disease Control and Prevention Centers for Disease Control and Prevention (CDC), agency of the U.S. Public Health Service since 1973, with headquarters in Atlanta; it was established in 1946 as the Communicable Disease Center.  (CDC See Control Data, century date change and Back Orifice.

CDC - Control Data Corporation
) 2005], little is known about variation of these exposure biomarkers by race, age, body mass index (BMI BMI body mass index.

BMI
abbr.
body mass index


Body mass index (BMI)
A measurement that has replaced weight as the preferred determinant of obesity.
), and sex.

The Breast Cancer and the Environment Research Centers (BCERC) are a consortium established by the National Institute of Environmental Health Sciences The National Institute of Environmental Health Sciences (NIEHS) is one of 27 Institutes and Centers of the National Institutes of Health (NIH),which is a component of the Department of Health and Human Services (DHHS). The Director of the NIEHS is Dr. David A. Schwartz.  and the National Cancer Institute to elucidate influences of environmental factors on early pubertal development in girls, and thereby possible future risk for breast cancer and other chronic diseases among women. For this purpose, the study design employs biomarkers to assess a variety of environmental exposures. The highest-priority urinary exposure biomarkers identified by the BCERC consortium are phytoestrogens, phthalate acids, and phenols. Agents in these groups were selected because they possess hormonal activity that may be agonistic agonistic /ag·o·nis·tic/ (ag?o-nis´tik) pertaining to a struggle or competition; as an agonistic muscle, counteracted by an antagonistic muscle.  or antagonistic (Fenton 2006; Rajapakse et al. 2002; Sohoni and Sumpter 1998); they have been detected at sufficiently high concentrations to constitute a potential risk (CDC 2005); and they were known or expected to have adequate interindividual variability to serve as exposure markers. Exposures to these chemicals occur chiefly through the diet and use of household or personal care products (Table 1) (Calafat et al. 2005; CDC 2005; Duty et al. 2005). The CDC has previously reported concentrations in child participants in the National Health and Nutrition Examination Survey (NHANES NHANES National Health and Nutrition Examination Survey (US CDC) ) for some biomarkers (CDC 2005). However, no data are available in children for certain phenols, including bisphenol A (BPA), a chemical with hormonal activity relevant to pubertal development (vom Saal and Hughes 2005). In addition, prevalence and variability of these exposure biomarkers have not been described among young girls, and it is not known how these exposures may vary by race, geographic location, or age. In this report we provide initial information on levels of biomarkers for three chemical families of primary interest--phytoestrogens, phthalates, and phenols--and on their distribution by demographic factors among a subsample sub·sam·ple  
n.
A sample drawn from a larger sample.

tr.v. sub·sam·pled, sub·sam·pling, sub·sam·ples
To take a subsample from (a larger sample).
 of the BCERC study population.

Methods

Participants in this pilot study were among the first children enrolled at three BCERC centers. We are recruiting approximately 1,200 girls 6-8 years of age into a longitudinal study longitudinal study

a chronological study in epidemiology which attempts to establish a relationship between an antecedent cause and a subsequent effect. See also cohort study.
, with the aim of following pubertal development from its earliest stages through menarche menarche /me·nar·che/ (me-nahr´ke) establishment or beginning of the menstrual function.menar´cheal

me·nar·che
n.
The first menstrual period, usually during puberty.
. Eligibility includes age 6-8 years, female sex, and no underlying endocrine medical conditions See carpal tunnel syndrome, computer vision syndrome, dry eyes and deep vein thrombosis. . All sites obtained informed consent from parent or guardian and child assent, approved by each institution's institutional review board. Study designs and methods were standardized for most but not all components, because each center retained some unique scientific aims, and their recruitment began at different dates. Mount Sinai School of Medicine
This page is about a medical school in New York. For other uses, please see: Mount Sinai (disambiguation)


Mount Sinai School of Medicine is a medical school found in the borough of Manhattan in New York City.
 (MSSM MSSM Mount Sinai School of Medicine
MSSM Minimal Supersymmetric Standard Model
MSSM Maine School of Science and Mathematics
MSSM Master of Science In Systems Management
MSSM Minimal Sypersymmetric Standard Model
MSSM Modified Step-Segment Method
) is recruiting black and Latina girls from clinics, schools, and community centers in East Harlem in New York City; the sample population from the University of Cincinnati/Cincinnati Children's Hospital A children's hospital is a hospital which offers its services exclusively to children. The number of children's hospitals proliferated in the 20th century, as pediatric medical and surgical specialties separated from internal medicine and adult surgical specialties.  (Cincinnati) is recruited from and examined at schools or through a breast cancer registry A cancer registry is a systematic collection of data about cancer and tumor diseases. The data is collected by Cancer Registrars. Cancer Registrars capture a complete summary of patient history, diagnosis, treatment, and status for every cancer patient in the United States, and ; the Kaiser Permanente Kaiser Permanente is an integrated managed care organization, based in Oakland, California, founded in 1945 by industrialist Henry J. Kaiser and physician Sidney R. Garfield.  Northern California (Kaiser) study group is recruited from the Kaiser health maintenance organization (HMO HMO health maintenance organization.

HMO
n.
A corporation that is financed by insurance premiums and has member physicians and professional staff who provide curative and preventive medicine within certain financial,
) membership in the San Francisco Bay area “Bay Area” redirects here. For other uses, see Bay Area (disambiguation).

The San Francisco Bay Area, colloquially known as the Bay Area or The Bay
. At all sites, a baseline questionnaire was completed by the girl's parent or guardian (usually the mother) that included a detailed medical history, product use and exposures, exercise, diet, and demographic variables. Self-reported race/ethnicity included white, black, American Indian American Indian
 or Native American or Amerindian or indigenous American

Any member of the various aboriginal peoples of the Western Hemisphere, with the exception of the Eskimos (Inuit) and the Aleuts.
, Pacific Islander Pacific Islander
n.
1. A native or inhabitant of any of the Polynesian, Micronesian, or Melanesian islands of Oceania.

2. A person of Polynesian, Micronesian, or Melanesian descent. See Usage Note at Asian.
, or Asian, as well as Hispanic ethnicity. There were 10 Hispanics of Mexican origin at MSSM who did not report a race but who were identified by interviewers as Native Americans by ascertaining child and parental birthplace and native language (Mexican Indians). For the purposes of this report, race/ethnicity was classified as black (including black Hispanic), non-black Hispanic, non-Hispanic white, or non-Hispanic Asian.

Height and weight were measured using calibrated cal·i·brate  
tr.v. cal·i·brat·ed, cal·i·brat·ing, cal·i·brates
1. To check, adjust, or determine by comparison with a standard (the graduations of a quantitative measuring instrument):
 scales and stadiometers by interviewers who had been trained and certified uniformly across all three sites. BMI was calculated as weight/height-squared (kilograms per square meter Noun 1. square meter - a centare is 1/100th of an are
centare, square metre

area unit, square measure - a system of units used to measure areas
) and then classified as < 85th national percentile, age- and sex-specific, or [greater than or equal to] 85th percentile (Himes and Dietz 1994), using CDC growth charts (CDC 2000). In this CDC data set, the 85th percentile BMI cut points for girls in the first month of 6, 7, and 8 years of age are 17.100, 17.626, and 18.317 kg/[m.sup.2], respectively. Urine specimens were collected at the time of the baseline examination baseline examination Clinical practice A physical exam which is part of an initial Pt-physician contact, and designed to assess a Pt's eligibility for enrollment in a clinical trial and produce requisite baseline data.  or in a 6-month follow-up visit (Cincinnati). MSSM and Kaiser collected spot specimens at baseline, and Cincinnati collected early morning voids. Each center submitted 30 urine samples to CDC for determining the concentrations of phthalate metabolites, phenols, phytoestrogens, and creatinine creatinine /cre·at·i·nine/ (kre-at´i-nin) an anhydride of creatine, the end product of phosphocreatine metabolism; measurements of its rate of urinary excretion are used as diagnostic indicators of kidney function and muscle mass.  (to normalize normalize

to convert a set of data by, for example, converting them to logarithms or reciprocals so that their previous non-normal distribution is converted to a normal one.
 for urine dilution). Samples from MSSM and Cincinnati were selected randomly from the samples donated before December 2005 with at least 40 mL of urine. Kaiser sent the first 30 samples collected with sufficient volume. The study size was limited by budgetary constraints and by the need to conduct the pilot study at an early stage of recruitment.

Laboratory techniques Laboratory techniques are the sum of procedures used on natural sciences such as chemistry, biology, physics in order to conduct an experiment, all of them follow scientific method; while some of them involves the use of complex laboratory equipment from laboratory glassware to  used by CDC for measuring the selected exposure biomarkers in urine have been published. Briefly, metabolites are deconjugated enzymatically, because these agents are excreted almost entirely as conjugated conjugated
adj.
Conjugate.


estrogens, conjugated Warning - Hazardous drug!

C.E.S.
 metabolites. Matrix removal and analyte enrichment are accomplished by solid phase extraction Solid-phase extraction (SPE) is a separation process that is used to extract compounds (called analytes) from a mixture of impurities. Analytical laboratories use solid phase extraction to concentrate and purify samples for analysis. , and instrumental analysis is done with high performance liquid chromatography--tandem mass spectrometry mass spectrometry
 or mass spectroscopy

Analytic technique by which chemical substances are identified by sorting gaseous ions by mass using electric and magnetic fields.
 using isotope dilution quantification (Kato et al. 2005; Kuklenyik et al. 2004; Rybak et al. 2006; Ye et al. 2005a). The laboratory is certified according to according to
prep.
1. As stated or indicated by; on the authority of: according to historians.

2. In keeping with: according to instructions.

3.
 the Clinical Laboratories Improvement Act, and procedures incorporate quality control (QC) measures to ensure accuracy and precision of results, including annual proficiency testing compliance (Norrgran et al. 2006). A laboratory batch must meet quality control criteria, including acceptable blanks, or the batch is entirely reanalyzed. Results are blank-corrected. Enterodiol data for two girls were not available because these results did not fulfill the quality assurance/quality control requirements. Creatinine was measured using an enzymatic reaction on a Roche Hitachi 912 chemistry analyzer (Roche Hitachi, Basel Switzerland).

We performed statistical analyses using SAS (1) (SAS Institute Inc., Cary, NC, www.sas.com) A software company that specializes in data warehousing and decision support software based on the SAS System. Founded in 1976, SAS is one of the world's largest privately held software companies. See SAS System.  (version 9.1.3 for PC; SAS Institute SAS Institute Inc., headquartered in Cary, North Carolina, USA, has been a major producer of software since it was founded in 1976 by Anthony Barr, James Goodnight, John Sall and Jane Helwig.  Inc., Cary, NC). Because of the unequal distribution of characteristics among sites, we first used nonparametric methods to examine variation of exposure biomarker concentrations in relation to study characteristics. For analytes detected in > 60% of samples, we then performed multivariate analyses adjusting for age, race/ethnicity, site, BMI, and season of sample collection using the general linear model (GLM GLM Global Language Monitor
GLM Global Marine (stock symbol)
GLM Graduated Length Method (ski instruction)
GLM Good Looking Mom (used in pediatric practices)
GLM God Loves Me
) procedure, which accommodates unbalanced designs. For age, we computed Spearman spear·man  
n.
A man, especially a soldier, armed with a spear.
 correlations with each biomarker. Using the Kruskal-Wallis test of rank sums (NPAR NPAR Nuclear Plant Aging Research (program)
NPAR Navy Precision Approach Radar
NPAR Number Port Activation Request
NPAR National Patient Antibody Registry
1WAY procedure with Wilcoxon option), we compared medians of the creatinine-corrected concentrations (micrograms per gram creatinine) by race/ethnicity, site, BMI, and season (coded as Summer = June, July, August vs. other seasons; use of several products listed in Table 1 was considered likely to vary by season). For exposure biomarkers whose medians exhibited differences with respect to these characteristics [see Supplemental Materials, Table 1 (http://www.ehponline.org/docs/2006/9488/suppl.pdf)], we then examined whether the multivariate geometric means were significantly different across characteristic levels using the LSMEANS option of the GLM procedure. Four Asians were retained in the multivariate analyses, with racial/ethnic differences reported only for blacks, Hispanics, and whites but not Asians. In parametric analyses, we used log-transformed values of the urinary metabolite metabolite, organic compound that is a starting material in, an intermediate in, or an end product of metabolism. Starting materials are substances, usually small and of simple structure, absorbed by the organism as food.  concentrations to normalize the distribution and we substituted the value LOD/[square root of]2 for results below the limit of detection (LOD Lod (lōd), city (1994 pop. 51,200), central Israel. It is also known as Lydda. Its manufactures include paper products, chemicals, oil products, electronic equipment, processed food, and cigarettes. ) following the CDC practice (Wolff et al. 2005).

Results

Participants represented four racial/ethnic groups (Asian, black, Hispanic, white) and three geographic locations (New York City, Cincinnati metropolitan area, and the San Francisco Bay area of California; Table 2). Mean age was 7.77 years at date of sample collection (range, 6.4-9.2). Samples collected at Kaiser were almost all from 7-year-old girls (29 of 30); there were two 6-year-old girls from Cincinnati and nine from MSSM. Race/ethnicity varied by site, with Kaiser and Cincinnati girls mainly white (> 60%) or black, and with no whites at MSSM. All four Asians were from Kaiser, and most Hispanics (18 of 22) were from MSSM. Compared with national data (CDC 2000), 32% of girls were [greater than or equal to] 85th percentile of BMI, and the distributions of BMI within sites were similar. Samples from Kaiser were all collected in summer; no samples from Cincinnati and nine from MSSM were collected in summer.

Eighteen of the 25 analytes were detected in at least 94% of the samples (Table 3). Phytoestrogens as a group had the highest concentrations (e.g., median 298 [micro]g/L for enterolactone), and all six phytoestrogens were detected in > 98% of samples. Phthalate metabolites were intermediate in concentration, with 9 of the 10 biomarkers detected in > 94% of samples. Phenols had the lowest concentrations and were least detected (only 3 of the 9 were detected in > 94% of samples). Seventeen exposure biomarkers had medians > 10 [micro]g/L (10 ppb ppb
abbr.
parts per billion
), and six had medians > 50 [micro]g/L. Four phytoestrogens, four phthalates, and two phenols had maximum values > 1,000 [micro]g/L (1 ppm). The ranges for 10 of 25 exposure biomarkers encompassed at least 3 orders of magnitude (e.g., 1-1,000 [micro]g/L). The highest individual biomarker measurement was for benzophenone-3 (BP3; 26,700 [micro]g/L). To verify that the very high BP3 urinary measurements reflected absorbed dose ab·sorbed dose
n.
The quantity of radiation energy, expressed in rads, that is administered or absorbed per unit mass of target.


absorbed dose 
 rather than surface contamination during sample collection, storage, or analysis, we measured free (i.e., unbound unbound

said of electrolytes, e.g. iron and calcium, and other substances which are circulating in the bloodstream and are not bound to plasma proteins so that they are available immediately for metabolic processes. See also calcium, iron.
) BP3 in the nine samples having concentrations >1,000 [micro]g/L. The concentrations of unbound BP3 were minimal, < 1-20 [micro]g/L (data not shown), consistent with excretion of absorbed BP3 as conjugated species (Ye et al. 2005b).

Multivariate adjusted concentrations of creatinine-corrected exposure biomarkers (geometric means) are presented in Table 4 according to race/ethnicity, geographic site, BMI, and season of collection; included are the 20 analytes that were detected in at least 60% of samples. Differences in the medians (unadjusted) by characteristics are shown in the Supplemental Material, Table 1 (http://www.ehponline.org/docs/2006/9488/suppl.pdf). Compared with the unadjusted values, there were fewer significant associations in the multivariate models for race (5 vs. 8), site (3 vs. 9), and season (1 vs. 6). Enterolactone and BPA differed significantly with regard to BMI (< 85th percentile vs. [greater than or equal to] 85th percentile). The adjusted geometric means of three phthalate metabolites varied by race/ethnicity, with whites having lower concentrations of mono(2-ethylhexyl) phthalate (MEHP MEHP Monoethylhexylphthalate ) and monoethyl phthalate (MEP) but higher mono(3-carboxypropyl) phthalate (MCPP mCPP meta-chlorophenylpiperazine (serotonin agonist)
MCPP Mackinac Center for Public Policy
MCPP Marine Corps Planning Process
MCPP Microsoft Communication Protocol Program
MCPP 2-(2-Methyl-4-Chlorophenoxy) 
). Among the phenols, 2,5-dichlorophenol (25DCP DCP - definitional constraint programming ) was higher in blacks than whites, and BP3 was higher in whites. O-Desmethylangolensin (O-DMA), 25DCP, and 2,4-dichlorophenol (24DCP) differed across the three study sites. BP3 was higher in samples collected in summer. Patterns by race and season for MEHP, MEP, MCPP, 25DCP, and 24DCP remained the same if the geometric means were adjusted for age, race, BMI, and season but not for site. When the correlation between age as a continuous variable and each analyte was examined, it was significantly associated only with equol (micrograms equol/grams creatinine; [r.sub.S]-0.26, p = 0.013). In the multivariate model for equol [ln, micrograms per gram creatinine], the beta for age (years) was -0.44 (p = 0.029, adjusted for race/ethnicity, geographic site, BMI, and season of collection).

The strongest correlations between individual biomarkers within a family were seen among those arising from the same parent compound (e.g., [r.sub.S] = 0.79-0.99 among four di(2-ethylhexyl) phthalate [DEHP DEHP Di(2-ethylhexyl)phthalate
DEHP Diethylhexylphthalate
DEHP Diethyl Hydrogen Phosphite
DEHP Dual Encoding Hierarchical Pipelining
] metabolites: mono(2-ethyl-5-carboxypentyl) phthalate [MECPP], mono(2-ethyl-5-hydroxyhexyl) phthalate [MEHHP], (2-ethyl-5-oxohexyl) phthalate [MEOHP], and MEHP; data not shown). We computed correlations between creatinine and the urinary exposure biomarkers to examine the appropriateness of creatinine-corrections for dilution. The lowest correlations were seen for BP3 ([r.sub.S] = -0.03, p = 0.758) and O-DMA ([r.sub.S] = 0.24, p = 0.022); correlations of creatinine with other biomarkers were fairly strong ([r.sub.S] > 0.3, p < 0.01; data not shown). Associations of phthalate metabolites with creatinine were stronger ([r.sub.S] = 0.50-0.72) than for phytoestrogens ([r.sub.S] = 0.33-0.52, not including O-DMA) and phenols ([r.sub.S] = 0.42-0.54 for triclosan, 25DCP, BPA, and 24DCP). Because BP3 was not related to urinary creatinine, it may be inappropriate to correct for dilution using creatinine (Hauser et al. 2004; Miller et al. 2004). When we examined BP3 in relation to the characteristics in Table 4 using the concentration as micrograms per liter (uncorrected for creatinine), we obtained almost identical results. The range of creatinine was 7.6-255 mg/dL with 9 samples < 20 mg/dL, which could potentially influence the data in Tables 3 and 4 by overinflating the creatinine-corrected values. We examined the distribution of values for the nine low-creatinine samples in those exposure biomarkers that varied significantly by the factors in Table 4; they were fairly evenly distributed in terms of concentrations, and excluding them from the multivariate adjusted models did not alter the differences seen in the exposure biomarkers with regard to characteristics described above. In addition, in models where biomarkers were not creatinine-corrected (micrograms per liter), we observed results similar to those in Table 4, except that two associations were not significant (BPA with BMI, p = 0.11; and 24DCP by site, p = 0.13).

Discussion

This pilot study of peripubertal girls examined urinary biomarkers of exposures among three chemical families that possess known or likely hormonal activity. Biomarkers from these families appear to be ubiquitous, have wide variability, and show relatively high urinary concentrations in 6- to 9-year-old girls, suggesting that they are suitable for study of exposure--outcome associations related to puberty. Among the 25 exposure biomarkers measured in this study, we had initially identified eight compounds as high priority for the epidemiologic study epidemiologic study A study that compares 2 groups of people who are alike except for one factor, such as exposure to a chemical or the presence of a health effect; the investigators try to determine if any factor is associated with the health effect , based on criteria of having prevalent, high exposure levels, toxicologic relevance, and exposure biomarker reliability. These included three phytoestrogens (enterolactone, daidzein, genistein), three phthalate metabolites (mono-n-butyl phthalate [MBP (Manchester Bus Powered) A synchronous transmission standard used in industrial networks. It provides 31.25 Kbps over a two-wire connection that delivers power in the bus and intrinsic safety. ], monobenzyl phthalate [MBzP], MEP), and two phenols (BPA, nonylphenol). Seven of these biomarkers were detected in at least 94% of samples, and the ranges of concentrations were wide, from the LOD (< 1) to > 26,000 [micro]g/L (minimum-maximum). Nonylphenol was not determined because CDC as yet has no optimal biomarker for this compound (Calafat et al. 2005).

Levels of phytoestrogen and phthalate metabolites in this study were similar to those reported in the NHANES 2001-2002 children (CDC 2005), although enterodiol appeared to be higher and MBzP and monomethyl phthalate (MMP MMP Matrix Metalloproteinase (enzymes related to tissue healing/remodeling and cancer cell metastasis)
MMP Mixed Member Proportional (New Zealand electoral system)
MMP Multi-man Publishing
) lower in our study population. MECPP and MEP had the highest levels of the 10 phthalate metabolites measured. MECPP, a DEHP metabolite, has not been previously reported in NHANES nor in school-age children. The relationship of equol with age could be of interest, but it was the only analyte related to age. This association could also be attributable to population characteristics that can be explored in the future, such as diet. Two biomarkers (enterolactone and BPA) varied by BMI, and three phthalates differed by race. Relationships of phthalates with race/ethnicity were quite similar to those reported for all ages in the NHANES 2001-2002--for example, MEP and MEHP were highest in blacks and MCPP highest in whites (CDC 2005) (the CDC report does not provide race-specific data for children). One biomarker varied by season (BP3) and three by site (O-DMA, 25DCP, 24DCP), differences that may reflect diverse exposures; alternatively, these observations may be attributed to the unequal distribution of characteristics by site, a notion supported by the finding that both BP3 and 25DCP also differed by race. Differences by race and BMI may also be attributed to other confounding confounding

when the effects of two, or more, processes on results cannot be separated, the results are said to be confounded, a cause of bias in disease studies.


confounding factor
 factors, including socioeconomic status socioeconomic status,
n the position of an individual on a socio-economic scale that measures such factors as education, income, type of occupation, place of residence, and in some populations, ethnicity and religion.
 (SES), that were not available for consideration. SES may affect body size, dietary habits, and product use, for example.

Among the four DEHP metabolites measured, MEHP differed significantly by race after multivariate adjustment, whereas the trends for the three oxidative metabolites of DEHP were similar but not statistically significant (Table 4). It is possible that we did not detect significant racial/ethnic trends for the three DEHP oxidative metabolites because of limited sample size. It is also possible for MEHP to arise from sample contamination or hydrolysis hydrolysis (hīdrŏl`ĭsĭs), chemical reaction of a compound with water, usually resulting in the formation of one or more new compounds. , whereas the oxidative metabolites must be endogenous; however, this is unlikely to explain racial/ethnic variability. Alternatively, although overall exposures to DEHP may have been fairly uniform, recent ambient exposures to DEHP may have varied by race/ethnicity in this population. In another study, racial/ethnic differences in MEP levels were attributed to greater use of cologne by blacks and Hispanics (Duty et al. 2005). If recent exposures were responsible for the racial/ethnic differences in our data, a possibility would be that MEHP as the first metabolite formed might differ by race/ethnicity, reflecting mainly the most recent exposures. Another possible explanation is that there may be racial/ethnic variability in the primary but not the secondary DEHP metabolic routes. MEHP is the initial metabolite of DEHP, and it can undergo further oxidation through separate pathways, producing MECPP by one route and MEHHP and MEOHP by another. Racial/ethnic differences in the secondary pathways could be smaller than for MEHP formation. In addition, the oxidative metabolites have longer half-lives [10-15 hr vs. 5 hr for MEHP (Koch et al. 2006)], possibly constituting a more integrated measure of long-term exposures that vary less by race/ethnicity.

The high correlations observed among four DEHP metabolites signify a common source of exposure from the parent compound (Silva et al. 2006). The proportion of MECPP (> 50% of the total of four metabolites reported here) is consistent with previous research suggesting that infants have a much higher proportion of MECPP (66%) than adults (32%) (Silva et al. 2006). Among other phthalate metabolites, MCPP and MEP, which differed significantly by race but in different directions, were not highly correlated with each other ([r.sub.S] = 0.33), supporting different product origins and environmental exposures for these agents.

The relationships of the urinary exposure biomarkers to creatinine levels are of interest. One site collected early-morning (but not first-morning) voids, which may reflect different accumulated exposures than daytime spot samples that creatinine correction cannot resolve entirely. However, collection time is not likely to bias our exposure measures, because the adjusted means differed by site for only three analytes in two chemical families, and specific exposures are as likely to explain these findings as collection time. As recognized by others, care must be taken in normalizing urinary analytes for dilution because the excretory ex·cre·to·ry
adj.
Of, relating to, or used in excretion.



excretory

pertaining to excretion.


excretory behavior
see elimination behavior.
 mechanisms are not the same for creatinine and certain chemicals (Hauser et al. 2004; Miller et al. 2004). This possibility is evident in our study where the correlations between creatinine and endocrine disruptor Endocrine disruptors are exogenous substances that act like hormones in the endocrine system and disrupt the physiologic function of endogenous hormones. Studies have linked endocrine disruptors to adverse biological effects in animals, giving rise to concerns that low-level  biomarkers varied, from zero (BP3) to 0.72 (mono-isobutyl phthalate [MiBP]), suggesting that excretion or metabolic capacity may affect these associations, possibly related to the amount of bound (e.g., glucuronidated) versus unbound metabolites. However, in agreement with previous research (Ye et al. 2005b), our data show that even at very high concentrations, BP3 is excreted mostly conjugated in urine; in contrast, MEP is mostly unconjugated (Silva et al. 2003). Unlike creatinine, glucuronide conjugates are actively excreted by tubular secretion, which may explain in part the low correlation of BP3 with creatinine as well as the wide range of correlations between creatinine and these biomarkers (see Hauser et al. 2004 and references therein). An alternative to correcting for urinary concentration is urinary specific gravity specific gravity, ratio of the weight of a given volume of a substance to the weight of an equal volume of some reference substance, or, equivalently, the ratio of the masses of equal volumes of the two substances.  (Hauser et al. 2004; Miller et al. 2004), but this measurement was not performed on our samples.

The differences in exposure biomarkers by race/ethnicity and BMI are potentially relevant to pubertal development which is known to be associated with these characteristics (Herman-Giddens et al. 1997). Furthermore, the associations of enterolactone and BPA with BMI and of phthalate metabolites with race are notable because these biomarkers did not vary by other factors in our data. Although the differences we observed are suggestive only, because the sample size is small and unbalanced with regard to some characteristics, we used a conservative approach, considering only a limited number of a priori a priori

In epistemology, knowledge that is independent of all particular experiences, as opposed to a posteriori (or empirical) knowledge, which derives from experience.
 comparisons. Furthermore, the findings for phthalate metabolites were consistent with earlier reports. In general, concentrations of the 25 urinary exposure biomarkers we measured are far higher than those of more widely studied environmental agents such as 1, 1'-dichloro-2, 2'-bis(4-chlorophenyl)ethylene (DDE (Dynamic Data Exchange) A message protocol in Windows that allows application programs to request and exchange data between them automatically.

DDE - Dynamic Data Exchange
) and elemental lead (CDC 2005). In addition, some of these agents have relatively potent hormonal activity. In yeast assays, for example, BPA and butylbenzyl phthalate (the parent compound of MBzP) have greater antiandrogenic and estrogenic activity than DDE (Sohoni and Sumpter 1998). However, the proportional biological effects of these exposures in humans are not known. Several exposure biomarkers reported here have not previously been measured in children nor in different parts of the United States United States, officially United States of America, republic (2005 est. pop. 295,734,000), 3,539,227 sq mi (9,166,598 sq km), North America. The United States is the world's third largest country in population and the fourth largest country in area. . On the basis of this pilot study, we are considering the potential relevance to child development of additional exposures that were not originally planned for study, and we are exploring alternatives to creatinine correction. If we identify any of these biomarkers as

either protective or detrimental in terms of child maturation, the levels of these chemicals in the body may be modifiable because they are derived from the diet or ambient environment or from personal product use. Additional studies are under way to identify sources of these agents in our population and to assess the temporal variation of urinary metabolites among children.

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Rybak ME, Parker DL, Pfeiffer CM. 2006. Determination of Urinary Phytoestrogens by HPLC-MS/MS: A Comparison of Atmospheric Pressure Chemical Ionization Atmospheric pressure chemical ionization (APCI) is an ionization method used in mass spectrometry. It is a form of chemical ionization which takes place at atmospheric pressure.  (APCI APCI Atmospheric Pressure Chemical Ionization
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APCI Association of Professional Color Imagers
APCI Advisory Panel on Country Information (UK)
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ASMS Association of Salaried Medical Specialists
ASMS Advanced Satellite Mobile Systems
ASMS Alabama School of Mathematics and Science
ASMS American Society for Mohs Surgery
ASMS Arkansas School for Math and Science
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Ye X, Kuklenyik Z, Needham LL, Calafat AM. 2005b. Quantification of urinary conjugates of bisphenol A, 2, 5-dichlorophenol, and 2-hydroxy-4-methoxybenzophenone in humans by online solid phase extraction-high performance liquid chromatography-tandem mass spectrometry. Anal Bioanal Chem 383:638-644.

Mary S. Wolff, (1) Susan L. Teitelbaum, (1) Gayle Windham, (2) Susan M. Pinney, (3) Julie A. Britton, (1) Carol Chelimo, (1) James Godbold, (1) Frank Biro, (4) Lawrence H. Kushi, (5) Christine M. Pfeiffer, (6) and Antonia M. Calafat (6)

(1) Mount Sinai School of Medicine, Division of Environmental Health Sciences, Department of Community and Preventive Medicine preventive medicine, branch of medicine dealing with the prevention of disease and the maintenance of good health practices. Until recently preventive medicine was largely the domain of the U.S. , New York, New York, USA; (2) Division of Environmental and Occupational Disease Control, California Department of Health Services Department of Health Services may refer to:
  • Los Angeles County Department of Health Services
  • California Department of Health Services a California state agency
, Oakland, California “Oakland” redirects here. For other uses, see Oakland (disambiguation).
Oakland (IPA: /ˈoʊklənd/), founded in 1852, is the eighth-largest city in the U.S.
, USA; (3) Department of Environmental Health, University of Cincinnati The University of Cincinnati is a coeducational public research university in Cincinnati, Ohio. Ranked as one of America’s top 25 public research universities and in the top 50 of all American research universities,[2]  College of Medicine, Cincinnati, Ohio, USA; (4) Division of Adolescent Medicine adolescent medicine
n.
The branch of medicine concerned with the treatment of youth between 13 and 21 years of age. Also called ephebiatrics, hebiatrics.
, Cincinnati Children's Hospital Medical Center Cincinnati Children's Hospital Medical Center is a hospital in Cincinnati, Ohio. In June of 1883, a meeting of women from parish communities around Cincinnati established a mission to create a Diocesan Hospital for Children. , Ohio, USA; (5) Division of Research, Kaiser Permanente, Oakland, California, USA; (6) Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA

Address correspondence to M.S. Wolff, Department of Community and Preventive Medicine, Division of Environmental Health Sciences, Mount Sinai School of Medicine, One Gustave L. Levy Place, Box 1057, New York, NY 10029 USA. Telephone: (212) 241-6183. Fax: (212) 996-0407. E-mail: mary.wolff@mssm.edu

Supplemental Material is available online at http://www.ehponline.org/docs/2006/9488/suppl.pdf

We thank the study investigators and staff at the three medical centers involved in this research including S. Peter, A. Mejia, A. Richiez, J. Guiterrez, R. Osborne, M. Galvez, and B. Brenner (Mount Sinai); C. Dahl, C. Baker, S. Myatt, K. Ford, B. Bornschein, and L. Yaghjyan (Cincinnati); R. Hiatt, L. Greenspan, B. Sternfeld, C. Ashley, C. Bonnell, A. Beeck, C. Chan, D. Davis, E. Landaverde, S. Burleson, and M. Trotter (Kaiser Permanente). We are grateful to M. Silva, E. Samandar, and J. Preau for phthalate measurements; X. Ye and A. Bishop for phenols measurements; J. Reidy for phthalate and phenols quality control/quality assurance analysis; and M. Rybak and D. Parker for phytoestrogens measurements. We gratefully acknowledge G.W. Collman [National Institute of Environmental Health Sciences (NIEHS NIEHS National Institute of Environmental Health Sciences (NIH, DHHS) )], L.L. Needham [Centers for Disease Control and Prevention (CDC)], L. Reinlib (NIEHS), and D.G. Winn [National Cancer Institute (NCI See Liberate. )] for arranging the interagency collaboration that supported analysis of these samples.

This study was conducted within the Breast Cancer and the Environment Research Centers, a network of centers including the Fox Chase Cancer Center The Fox Chase Cancer Center is a medical research facility and hospital located in the northeast section of Philadelphia, Pennsylvania, United States. The Center is an independent, non-profit institution which specializes in the treatment and prevention of cancer. , Michigan State University Michigan State University, at East Lansing; land-grant and state supported; coeducational; chartered 1855. It opened in 1857 as Michigan Agricultural College, the first state agricultural college. , the University of Cincinnati, and the University of California The University of California has a combined student body of more than 191,000 students, over 1,340,000 living alumni, and a combined systemwide and campus endowment of just over $7.3 billion (8th largest in the United States).  San Francisco San Francisco (săn frănsĭs`kō), city (1990 pop. 723,959), coextensive with San Francisco co., W Calif., on the tip of a peninsula between the Pacific Ocean and San Francisco Bay, which are connected by the strait known as the Golden  Comprehensive Cancer Center and supported by grants ES/CA12770, 012771, 012800, 012801 from the NIEHS and the NCI, NIH "Not invented here." See digispeak.

NIH - The United States National Institutes of Health.
, DHHS DHHS Department of Health & Human Services (US government)
DHHS Dana Hills High School (Dana Point, California)
DHHS Deaf and Hard of Hearing Services
DHHS Deaf and Hard of Hearing Services
. We acknowledge support from the NIEHS (ES009584 and ES012645), U.S. Environmental Protection Agency Environmental Protection Agency (EPA), independent agency of the U.S. government, with headquarters in Washington, D.C. It was established in 1970 to reduce and control air and water pollution, noise pollution, and radiation and to ensure the safe handling and  (R827039 and RD831711), Agency for Toxic Substances and Disease Registry The United States Agency for Toxic Substances and Disease Registry, (ATSDR) is an agency for the U.S. Department of Health and Human Services that is directed by a congressional mandate to perform specific functions concerning the effect on public health of hazardous  (ATU (ADSL Transceiver Unit) A device that provides ADSL modulation of the telephone line. The device at the telco side is the ATU-C (Central), which is a line card plugged into the DSLAM.  300014), NCI (CA93447), and National Center for Research Resources The National Center for Research Resources or NCRR, is a United States government agency. NCRR provides funding to laboratory scientists and researchers for facilities and tools in the goal of curing and treating diseases.  (NCRR NCRR National Center for Research Resources
NCRR North Carolina Railroad
NCRR Nikkei for Civil Rights & Redress
NCRR Network Cost Reduction Ratio
NCRR Non Conformance Release Report
) (MO1-RR-00071). The contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIEHS, NCI, NCRR, NIH, or CDC.

The authors declare they have no competing financial interests.

Received 6 July 2006; accepted 19 October 2006.
Table 1. Biomarkers, their parent compounds, and examples of their
environmental soures.

                                                   Main parent compound
Chemical class and examples          Abbreviation  (if applicable)

Phytoestrogens
  Isoflavones (genistein, daidzein)
  Lignans (enterolactone)
Phthalate metabolites
  Mono(2-ethylhexyl) phthalate       MEHP          Di(2-ethylhexyl)
                                                     phthalate (DEHP)
  Mono(3-carboxypropyl) phthalate    MCPP          Di-n-octyl phthalate
  Monobenzyl phthalate               MBzP          Butylbenzyl phthalate
  Monoethyl phthalate                MEP           Diethyl phthalate
                                                     (DEP)
  Monomethyl phthalate               MMP           Dimethyl phthalate
                                                     (DMP)
  Mono-n-butyl phthalate,            MBP, MiBP     Dibutyl phthalate
    mono-isobutyl phthalate                          (DBP), diisobutyl
                                                     phthalate (DiBP)
Phenols
  Bisphenol A                        BPA
  Benzophenone-3                     BP3
    (2-hydroxy-4-
    methoxy-benzophenone)
  Triclosan [5-chloro-2-             TRCS
    (2,4-dichlorophenoxy)phenol]
  2,4-Dichlorophenol and             24DCP,        Phenoxy- and other
     trichlorophenols                  245TCP,       derivatives
                                       246TCP
  2,5-Dichlorophenol                 25DCP         4-dichlorobenzene
  ortho-Phenylphenol                 o-PP
  4-tert-Octylphenol                 4-t-OP

Chemical class and examples          Exposure sources

Phytoestrogens                       Dietary intake
  Isoflavones (genistein, daidzein)    Soy products, including processed
                                         meats, meat substitutes,
                                         breads, and protein food bars
  Lignans (enterolactone)              Flax, seeds, grains
Phthalate metabolites                Industrial and personal product
                                       additives
  Mono(2-ethylhexyl) phthalate         Soft plastic including tubing,
                                         especially polyvinyl chloride
                                         (PVC; e.g., sometimes present
                                         in clear food wrap)
  Mono(3-carboxypropyl) phthalate      Soft plastic
  Monobenzyl phthalate                 Vinyl flooring, adhesives
  Monoethyl phthalate                  Shampoo, scents, soap, lotion,
                                         cosmetice
  Monomethyl phthalate                 Insect repellant, plastic
  Mono-n-butyl phthalate,              Adhesives, caulk, cosmetics
    mono-isobutyl phthalate
Phenols                              Commercial and personal products
                                       and additives
  Bisphenol A                          Polycarbonate containers and
                                         coatings (cans, cups), dental
                                         sealant
  Benzophenone-3                       Sunscreen
    (2-hydroxy-4-
    methoxy-benzophenone)
  Triclosan [5-chloro-2-               Microbicide in cleaning fluids
    (2,4-dichlorophenoxy)phenol]
  2,4-Dichlorophenol and               Herbicides
     trichlorophenols
  2,5-Dichlorophenol                   Mothballs
  Ortho-Phenylphenol                   Fungicide
  4-tert-Octylphenol                   Detergent surfactant

Table 2. Characteristics of the study population, BCERC pilot study,
2004-2005.

                                                  No. per site
Characteristic                     No. (%)    MSSM  Cincinnati  Kaiser

Age at sample
  collection (years) (a)
  6.0-6.9                          11 (12.2)   9     2           0
  7.0-7.9                          57 (63.3)   9    19          29
  [greater than or equal to] 8.0   22 (24.4)  12     9           1
Race/ethnicity
  Asian                             4  (4.4)   0     0           4
  Black                            26 (28.9)  12     9           5
  Hispanic                         22 (24.4)  18     1           3
  White                            38 (42.2)   0    20          18
Site
  Cincinnati                       30 (33.3)
  MSSM                             30 (33.3)
  Kaiser                           30 (33.3)
BMI for age (b)
  < 85th percentile                61 (67.8)  21    19          21
  [greater than or equal to] 85th  29 (32.2)   9    11           9
  percentile
Collection time (c)
  June-August                      39 (43.3)   9     0          30
  Other months                     51 (56.7)  21    30           0

(a) Some samples were collected at a visit 6 months after the baseline
visit. (b) Available: http://www.cdc.gov/growthcharts/ (CDC 2000).
(c) October 2004 to September 2005.

Table 3. Distribution of BCERC phytoestrogen, phthalate, and phenol and
biomarkers for all sites combined, 2004-2005.

                                                        Range
                                 LOD           Percent  ([micro]g/L)
Analyte          No.  No. > LOD  ([micro]g/L)  > LOD    Low    High

Phytoestrogens
  Enterolactone  90   90         0.3           100.0      4.6   6730.0
  Daidzein       90   90         0.3           100.0      2.4   9690.0
  Enterodiol     88   88         0.3           100.0      1.0    548.0
  Genistein      90   90         0.3           100.0      1.2   5360.0
  Equol          90   89         0.3            98.9      0.2    485.0
  O-DMA          90   89         0.2            98.9      0.1   3210.0
Phthalates
  MECPP (b)      90   90         0.25          100.0      5.9   2260.0
  MEHHP (b)      90   90         0.32          100.0      1.4   1699.0
  MEOHP (b)      90   90         0.45          100.0      1.3   1070.0
  MEHP (b)       90   85         0.90           94.4      0.6    110.0
  MEP            90   90         0.40          100.0      5.3   2580.0
  MBP            90   88         0.40           97.8      0.3    363.0
  MBZP           90   89         0.11           98.9      0.1    191.0
  MIBP           90   87         0.26           96.7      0.2    144.0
  MCPP           90   90         0.16          100.0      0.4     76.9
  MMP            90   18         1.00           20.0    < LOD     15.6
Phenols
  BP3            90   86         0.34           95.6    < 0.2  26700.0
  Triclosan      90   61         2.27           67.8    < 1.6    956.0
  25DCP          90   88         0.12           97.8    < 0.1   3120.0
  BPA            90   85         0.36           94.4    < 0.3     54.3
  24DCP          90   70         0.17           77.8    < 0.1     92.7
  246TCP         90   22         0.50           24.4    < LOD      6.1
  245TCP         90   21         0.10           23.3    < LOD      1.2
  4-t-OP         90    5         0.17            5.6    < LOD      0.4
  o-PP           90    3         0.10            3.3    < LOD      2.5
  Creatinine     90                                       7.6    254.8
    (mg/dL)

                 Median        Geometric mean      Geometric mean
Analyte          ([micro]g/L)  [GSD ([micro]g/C)]  [GSD ([micro]g/gC)]

Phytoestrogens
  Enterolactone  298.0         269.0 (4.1)         420.0 (3.7)
  Daidzein        98.0         112.0 (5.7)         175.0 (5.2)
  Enterodiol      63.7          54.8 (3.3)          86.5 (2.8)
  Genistei        50.1          60.4 (5.4)          94.3 (4.7)
  Equol           10.5          10.9 (4.1)          17.0 (3.5)
  O-DMA            5.7           5.7 (9.3)           8.9 (8.6)
Phthalates
  MECPP (b)       53.2          50.3 (3.1)          78.5 (2.5)
  MEHHP (b)       25.9          28.0 (3.4)          43.5 (2.7)
  MEOHP (b)       17.8          18.8 (3.3)          29.3 (2.6)
  MEHP (b)         3.2           3.3 (3.0)           5.2 (2.7)
  MEP             83.2          75.7 (3.9)         118.0 (3.1)
  MBP             37.4          28.2 (3.4)          44.1 (2.4)
  MBZP            22.2          18.4 (4.0)          28.7 (2.8)
  MIBP             7.7           7.1 (3.6)          11.1 (2.5)
  MCPP             6.3           6.1 (2.9)           9.5 (2.1)
  MMP            < LOD         < LOD               < LOD
Phenols
  BP3             14.7          19.7 (14.6)         30.8 (15.5)
  Triclosan        7.2          10.9 (6.5)          17.1 (5.5)
  25DCP            7.1           9.0 (11.9)         14.0 (9.9)
  BPA              1.8           2.0 (3.2)           3.0 (3.0)
  24DCP            0.9           0.9 (5.3)           1.4 (4.3)
  246TCP         < LOD         < LOD               < LOD
  245TCP         < LOD         < LOD               < LOD
  4-t-OP         < LOD         < LOD               < LOD
  o-PP           < LOD         < LOD               < LOD
  Creatinine      76.2
    (mg/dL)

                 NHANES 50th
Analyte          percentile (a) ([micro]g/L]
Phytoestrogens
  Enterolactone  329.0
  Daidzein        72.7
  Enterodiol      35.4
  Genistein       31.5
  Equol           13.6
  O-DMA            5.7
Phthalates
  MECPP (b)
  MEHHP (b)       32.9
  MEOHP (b)       22.6
  MEHP (b)         4.4
  MEP             71.9
  MBP             32.4
  MBZP            37.0
  MIBP             4.4
  MCPP             6.6
  MMP              1.8
Phenols
  BP3             82.3
  Triclosan       12.5
  25DCP            3.1
  BPA              2.4
  24DCP            0.6
  246TCP           0.3
  245TCP           0.1
  4-t-OP           0.5
  o-PP             0.4
  Creatinine
    (mg/dL)

Abbreviations: GSD, geometric standard deviation; [micro]g/gC, the
urinary concentration ([micro]g/L) corrected for creatinine (g/L).
(a) NHANES 50th percentile values for phthalates and phytoestrogens for
6- to 11-year-old children obtained from the Third National Report on
Human Exposure to Environmental Chemicals (CDC 2005); 50th-percentile
values for phenols obtained from Ye et al. (2005a). (b) Derived from
DEHP.

Table 4. Geometric means ([micro]g/g creatinine) of phytoestrogen,
phthalate, and phenol biomarkers (those [greater than or equal to] 60%
LOD) adjusted for age, race, site, BMI, and season, 2004-2005.

                            Race/ethnicity              Site
                 Asian    Black     Hispanic  White     Cincinnati
Total (n = 90)   (n = 4)  (n = 26)  (n = 22)  (n = 38)  (n = 30)

Phytoestrogens
  Enterolactone  174.0    414.0     388.0     287.0     292.0
  Daidzein        53.4    166.0     188.0     205.0     154.0
  Enterodiol     157.0     58.5      81.5      97.1     113.0
  Genistein       52.2     83.7      96.8     111.0      81.8
  Equol           12.1     10.7      20.2      17.9      17.9
  O-DMA            0.9     12.0       6.6       7.5       7.1
Phthalates
  MECPP (a)      119.0     80.7      98.1      69.2      91.5
  MEHHP (a)       58.2     55.0      43.3      42.0      48.3
  MEOHP (a)       37.3     33.8      29.0      29.0      31.6
  MEHP (a)         8.3      7.9       4.5       4.3*      5.9
  MEP             66.1    194.0     231.0      73.5*    161.0
  MBP             48.2     39.0      50.9      44.4      46.7
  MBZP             8.0     24.2      33.2      35.7      24.9
  MiBP            15.3     10.1      11.3      11.8      10.4
  MCPP             5.5      6.5       9.6      12.0*      9.3
Phenols
  BP3             42.2     21.7      14.9      92.7*     14.5
  Triclosan        6.7     22.0      16.3      14.3      21.2
  25DCP           16.2     28.5      15.6       8.8*      6.7
  BPA              2.7      3.1       3.4       2.3       3.2
  24DCP            1.5      1.7       1.3       1.2       0.9

                       Site          BMI for age
                 MSSM      Kaiser    < 85th reference percentile
Total (n = 90)   (n = 30)  (n = 30)  (n = 61)

Phytoestrogens
  Enterolactone  185.0     495.0     513.0
  Daidzein        69.8     234.0     115.0
  Enterodiol      65.4     107.0     107.0
  Genistein       56.3     123.0      68.4
  Equol           20.1       8.9      16.7
  O-DMA            1.6      10.1*      6.7
Phthalates
  MECPP (a)      111.0      71.5      86.6
  MEHHP (a)       64.8      37.8      43.0
  MEOHP (a)       41.5      25.2      28.8
  MEHP (a)         7.2       5.0       5.5
  MEP            100.0     111.0     102.0
  MBP             49.7      40.3      43.3
  MBZP            22.3      18.9      20.4
  MiBP            14.6      11.3      10.8
  MCPP             7.8       7.2       8.8
Phenols
  BP3             25.6     101.0      26.9
  Triclosan       14.8       8.0      15.8
  25DCP           85.0       7.1*     12.3
  BPA              2.6       2.8       3.7
  24DCP            3.4       0.9*      1.3

                 BMI for age                      Season of sample
                 [greater than or equal to] 85th  collection
                 reference percentile             Summer    Other season
Total (n = 90)   (n = 29)                         (n = 39)  (n = 51)

Phytoestrogens
  Enterolactone  174.0*                           236.0     378.0
  Daidzein       161.0                             97.1     190.0
  Enterodiol      79.9                             99.9      85.4
  Genistein      100.0                             55.5     123.0
  Equol           12.9                             10.7      20.2
  O-DMA            3.5                              3.5       6.8
Phthalates
  MECPP (a)       93.4                            100.0      80.9
  MEHHP (a)       56.1                             53.0      45.5
  MEOHP (a)       35.8                             33.6      30.6
  MEHP (a)         6.5                              6.4       5.6
  MEP            144.0                            140.0     105.0
  MBP             47.6                             42.1      48.9
  MBZP            23.5                             21.1      22.7
  MiBP            13.3                             10.2      14.1
  MCPP             7.3                              8.5       7.6
Phenols
  BP3             41.8                             83.8      13.4*
  Triclosan       11.7                             13.3      13.9
  25DCP           20.6                             10.9      23.0
  BPA              2.2*                             2.9       2.8
  24DCP            1.6                              1.1       1.8

(a) All derived from DEHP. *p-Value < 0.05 for one or more LSMEANS tests
between characteristic levels (for race, significance is not indicated
if it was found only for Asians).
COPYRIGHT 2007 National Institute of Environmental Health Sciences
No portion of this article can be reproduced without the express written permission from the copyright holder.
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Title Annotation:Children's Health
Author:Calafat, Antonia M.
Publication:Environmental Health Perspectives
Date:Jan 1, 2007
Words:6903
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