Cord Serum Concentrations of Perfluorooctane Sulfonate (PFOS) and Perfluorooctanoate (PFOA) in Relation to Weight and Size at Birth — TEI-tagged view

Benjamin J. Apelberg, Frank R. Witter, Julie B. Herbstman, Antonia M. Calafat, Rolf U. Halden, Larry L. Needham, Lynn R. Goldman · 2007 · epidemiology · doi:10.1289/ehp.10334 · TEI xml · tagged edition · index · concepts · authors
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birth weight 2 fields
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Polyfluoroalkyl compounds Ponderal index birth weight4 Head circumference brain growth thinness at birth fetal growth restriction observational-study83

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Environmental Health Perspectives<title level="j">A work — the journal / venue title.
2007<date>A year or date.

Benjamin J. ApelbergpersName, Frank R. WitterpersName, Julie B. HerbstmanpersName, Antonia M. CalafatpersName, Rolf U. HaldenpersName, Larry L. NeedhampersName, Lynn R. GoldmanpersName (2007date). “Cord Serum Concentrations of Perfluorooctane Sulfonate (PFOS) and Perfluorooctanoate (PFOA) in Relation to Weight and Size at Birth.” Environmental Health Perspectivestitle·j.

Object of study — cord serumterm·key PFOSterm·key and PFOAterm·key and gestational age, birth weightterm·mth and birth size

Research question — whether cord serumterm·key PFOSterm·key and PFOAterm·key concentrations are associated with gestational age, birth weightterm·mth and birth size in humans

Contribution — evidence of small negative associations of PFOSterm·key and PFOAterm·key with birth weightterm·mth and size at low exposure

Cross-disciplinary analysis
content-tags & facets: phenomenon · claim-type · cross-domain-transfer · mechanism · claim-relation · replication-status · limitation — grounded in the full text
phenomenonsmaller birth size with higher cord serum PFOS and PFOA — “Despite relatively low cord serum concentrations, we observed small negative associations between both PFOS and PFOA concentrations and birth weight and size.”
claim-typeexistence — “Despite relatively low cord serum concentrations, we observed small negative associations between both PFOS and PFOA concentrations and birth weight and size.”
method — evidence — “We conducted a hospital-based cross-sectional epidemiologic study of singleton deliveries in Baltimore, Maryland.”
object of study — evidence — “We examined the relationship between concentrations of PFOS and PFOA in cord serum (surrogates for in utero exposures) and gestational age, birth weight, and birth size in humans.”
research question — evidence — “We examined the relationship between concentrations of PFOS and PFOA in cord serum (surrogates for in utero exposures) and gestational age, birth weight, and birth size in humans.”
contribution — evidence — “Despite relatively low cord serum concentrations, we observed small negative associations between both PFOS and PFOA concentrations and birth weight and size.”
mechanismprotein binding PFOS and PFOA bind proteins and accumulate in protein-rich compartments, which the authors propose to study as a non-causal route. — “PFOS and PFOA have an affinity for protein-binding and have been shown to accumulate in protein-rich compartments in biological systems”mechanisms[0]
sensecord serum concentrations - taken by the authors as surrogates for in utero exposure — “We examined the relationship between concentrations of PFOS and PFOA in cord serum (surrogates for in utero exposures) and gestational age, birth weight, and birth size in humans.”senses[0]
notePonderal index —operationalised-as→ birth weight — DOUBTFUL TYPE, found by an audit. The index is calculated FROM birth weight and length, so birth weight is an input to the ponderal index, not its operationalisation. Not retyped: the gate's part-of test refuses this clause ('the ratio of' is not a containment cue). — “Ponderal index was calculated as the ratio of birth weight in grams to length in centimeters cubed, multiplied by 100”concept_edges[0]
relationPonderal index —operationalised-as→ birth weight — calculated as — “Ponderal index was calculated as the ratio of birth weight in grams to length in centimeters cubed, multiplied by 100”concept_edges[0]
weightPonderal index —operationalised-as→ birth weight — 0.9 — “Ponderal index was calculated as the ratio of birth weight in grams to length in centimeters cubed, multiplied by 100”concept_edges[0]
relationbrain growth —operationalised-as→ Head circumference — a measure of — “Head circumference has been used as a measure of brain growth and development”concept_edges[1]
weightbrain growth —operationalised-as→ Head circumference — 0.8 — “Head circumference has been used as a measure of brain growth and development”concept_edges[1]
relationthinness at birth —operationalised-as→ Ponderal index — a measure of — “Ponderal index has been used by clinicians and epidemiologists as a measure of thinness at birth and an indicator of disproportionate or asymmetric growth restriction.”concept_edges[2]
weightthinness at birth —operationalised-as→ Ponderal index — 0.8 — “Ponderal index has been used by clinicians and epidemiologists as a measure of thinness at birth and an indicator of disproportionate or asymmetric growth restriction.”concept_edges[2]
replicationoriginal
limitationPFOS measurement error may be larger than usual because a different ion transition was used. — “In this study, however, measurement error for PFOS may be greater than expected based on the method performance, because a different ion transition had to be used for quantification.”limitations[0]
limitationUnmeasured factors such as diet may confound the associations. — “Although we adjusted for the major known determinants of birth size and weight, it remains possible that other unmeasured factors, such as diet, may be confounding the relationships observed in this study.”limitations[1]
limitationThe population carries more risk factors than the US as a whole. — “Compared with national estimates, the subjects in our population were more likely to be black, teenagers, unmarried, and cigarette smokers”limitations[2]
limitationBabies not included had somewhat lower gestational ages and birth weights. — “The babies who were not included had somewhat lower gestational ages and birth weights.”limitations[3]
limitationThe authors ask for cautious interpretation until replication. — “We suggest cautious interpretation of this study until the findings can be replicated in other populations.”limitations[4]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingPer ln-unit, birth weight fell 69 g for PFOS and 104 g for PFOA in the fully adjusted model. — “In the fully adjusted model, a ln-unit increase in cord concentration was associated with a decrease in mean birth weight of 69 g [95% confidence interval (CI), −149 to 10) for PFOS and 104 g (95% CI, −213 to 5) for PFOA.”content_tags.findings[0]
findingNeither compound was associated with newborn length. — “In contrast, neither PFOS nor PFOA was significantly associated with newborn length in univariate or multivariate models”content_tags.findings[1]
findingNeither compound was associated with cord serum cholesterol, triglycerides or total lipids. — “We examined the relationships between PFOS and PFOA concentrations with serum total cholesterol, triglycerides, and total lipids and found no evidence of an association between chemical exposure and any of these biomarkers.”content_tags.findings[2]
findingThe negative association was restricted to vaginal births. — “Surprisingly, the negative association was restricted to vaginal births.”content_tags.findings[3]
findingRat developmental-effect concentrations are orders of magnitude above those observed here. — “Thus, the serum concentrations of these compounds associated with developmental effects in rats are several orders of magnitude higher than the concentrations observed here.”content_tags.findings[4]
quantity1.6 and 5 ng/mL — — “The median PFOA concentration was 1.6 ng/mL (range, 0.3 to 7.1 ng/mL) and the median PFOS concentration was 5 ng/mL”content_tags.quantities[0]
definitionPonderal index — “Ponderal index was calculated as the ratio of birth weight in grams to length in centimeters cubed, multiplied by 100”content_tags.definitions[0]
definitionPolyfluoroalkyl compounds — “Polyfluoroalkyl compounds (PFCs) comprise a class of man-made, fluorinated organic compounds that have been used in a variety of consumer and industrial applications.”content_tags.definitions[1]
key-termsPFOS, PFOA, cord serum, birth weight, ponderal index, head circumference
Concepts
terms this paper carries, each with the sentence it was cut from — the layer that joins one paper to another. Terms with no quote yet are on CONCEPTS.html.
conceptPolyfluoroalkyl compounds — a class of man-made, fluorinated organic compounds — “Polyfluoroalkyl compounds (PFCs) comprise a class of man-made, fluorinated organic compounds that have been used in a variety of consumer and industrial applications.”concepts[0]
conceptPonderal index — the ratio of birth weight in grams to length in centimeters cubed, multiplied by 100 — “Ponderal index was calculated as the ratio of birth weight in grams to length in centimeters cubed, multiplied by 100”concepts[1]
conceptbirth weight — not defined in this paper's own words — “Ponderal index was calculated as the ratio of birth weight in grams to length in centimeters cubed, multiplied by 100”concepts[2]
conceptHead circumference — not defined in this paper's own words; “used as a measure of brain growth” — “Head circumference has been used as a measure of brain growth and development”concepts[3]
conceptbrain growth — not defined in this paper's own words — “Head circumference has been used as a measure of brain growth and development”concepts[4]
conceptthinness at birth — not defined in this paper's own words — “Ponderal index has been used by clinicians and epidemiologists as a measure of thinness at birth and an indicator of disproportionate or asymmetric growth restriction.”concepts[5]
conceptfetal growth restriction — not defined in this paper's own words; reported as a continuum rather than two patterns — “Kramer et al. (1989) showed that disproportionality increased with increasing severity of growth restriction, suggesting the presence of a continuum of fetal growth restriction, rather than two distinct patterns.”concepts[6]

Full text — tagged

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Cord Serumterm·key Concentrations of Perfluorooctane Sulfonate (PFOSterm·key) and Perfluorooctanoate (PFOAterm·key) in Relation to Weight and Size at Birth Abstract Recent studies have reported developmental toxicity among rodents dosed with perfluorooctane sulfonate (PFOSterm·key) and perfluorooctanoate (PFOAterm·key).

We examined the relationship between concentrations of PFOSterm·key and PFOAterm·key in cord serumterm·key (surrogates for in utero exposures) and gestational age, birth weightterm·mth, and birth size in humans.

We conducted a hospital-based cross-sectional epidemiologic study of singleton deliveries in Baltimore, Maryland. Cord serumterm·key samples ( n = 293) were analyzed for PFOSterm·key and PFOAterm·key by online solid-phase extraction, coupled with reversed-phase high-performance liquid chromatography–isotope dilution tandem mass spectrometry. Maternal characteristics and anthropometric measures were obtained from medical charts.

After adjusting for potential confounders, both PFOSterm·key and PFOAterm·key were negatively associated with birth weightterm·mth [per ln-unit: β = −69 g, 95% confidence interval (CI), −149 to 10 for PFOSterm·key; β = −104 g, 95% CI, −213 to 5 for PFOAterm·key], ponderal indexterm·mth (per ln-unit: β = −0.074 g/cm 3 × 100, 95% CI, −0.123 to −0.025 for PFOSterm·key; β = −0.070 g/cm 3 × 100, 95% CI, −0.138 to −0.001 for PFOAterm·key), and head circumferenceterm·mth (per ln-unit: β = −0.32 cm, 95% CI, −0.56 to −0.07 for PFOSterm·key; β = −0.41 cm, 95% CI, −0.76 to −0.07 for PFOAterm·key). No associations were observed between either PFOSterm·key or PFOAterm·key concentrations and newborn length or gestational age. All associations were independent of cord serumterm·key lipid concentrations.

Despite relatively low cord serumterm·key concentrations, we observed small negative associations between both PFOSterm·key and PFOAterm·key concentrations and birth weightterm·mth and size. Future studies should attempt to replicate these findings in other populations.

Polyfluoroalkyl compoundsterm (PFCs) comprise a class of man-made, fluorinated organic compounds that have been used in a variety of consumer and industrial applications. Although these have been produced for many years, only recently have reports surfaced suggesting widespread exposure in wildlife and humans ( Butenhoff et al. 2006 ; CalafatpersName et al. 2007 ; Giesy and Kannan 2001 ; Houde et al. 2006 ; Kannan et al. 2004 ). Two of the most widely detected and studied compounds in this class are perfluorooctane sulfonate (PFOSterm·key) and perfluorooctanoate (PFOAterm·key). PFOSterm·key and related compounds (polyfluorinated sulfonamides) are surfactants used in applications ranging from oil and water repellents for fabrics, apparel, carpets, and paper coatings to specialty chemical applications such as insecticides and fire fighting foams ( 3M Company 1999 ). PFOAterm·key and its salts are used as chemical intermediates and processing aids in the production of fluoropolymers and fluoroelastomers.

Both PFOSterm·key and PFOAterm·key have shown the potential for developmental toxicity in animal studies. PFOSterm·key has been shown, in rats and mice, to induce developmental and reproductive effects, such as reduced birth weightterm·mth, decreased gestational length, structural defects, developmental delays, and increased neonatal mortality ( Fuentes et al. 2006 ; Grasty et al. 2003 ; Lau et al. 2003 ; Luebker et al. 2005a , 2005b ; Thibodeaux et al. 2003 ). Recent studies have also reported developmental toxicity from PFOAterm·key in rodents, including pregnancy loss, reduced fetal weight, reduced postnatal survival, and delays in postnatal growth and development in offspring ( Butenhoff et al. 2004 ; Lau et al. 2004 , 2006 ). However, such studies of PFOSterm·key and PFOAterm·key have been conducted using doses that produce serum concentrations much higher than general population human exposures. There are limited epidemiologic data on the potential impacts of PFC exposure on fetal growth and development. However, one recent occupational study found no association between employment in jobs with high exposure to PFOSterm·key before the end of pregnancy and maternally reported birth weightterm·mth ( Grice et al. 2007 ).

PFOSterm·key and PFOAterm·key have also been shown to cause reductions in serum cholesterol and/or triglycerides in several animal species ( Haughom and Spydevold 1992 ; Seacat et al. 2002 , 2003 ; Thibodeaux et al. 2003 ). Conversely, a few cross-sectional occupational studies conducted among fluorochemical production employees have reported positive relationships between PFOSterm·key and/or PFOAterm·key concentrations and serum lipid levels ( Gilliland and Mandel 1996 ; Olsen et al. 1999 , 2003 ). The fetus is likely to be sensitive to the availability of cholesterol and triglycerides, which support cellular growth, differentiation, and adipose accumulation ( Woollett 2001 ). Disruptions to normal fetal growth and development have been associated with effects across the lifespan, including adverse neonatal and childhood outcomes ( Hofman et al. 1997 ; Kramer et al. 1990 ) and metabolic diseases in adulthood ( Barker 2006 ).

In a previous report, we documented factors associated with cord serumterm·key concentrations of PFOSterm·key and PFOAterm·key in a population of newborn deliveries known as the Baltimore THREE study ( ApelbergpersName et al. 2007 ). In this study, we examined the relationship between these concentrations and gestational age, birth weightterm·mth, and measures of birth size, including head circumferenceterm·mth, length, and ponderal indexterm·mth (a measure of body mass at birth).

Materials and Methods Subjects We conducted a cross-sectional study (the Baltimore THREE Study) of newborn deliveries at the Johns Hopkins Hospital in Baltimore, Maryland. This study received approval from the Johns Hopkins Medicine Institutional Review Board and received a waiver from the Health Insurance Portability and Accountability Act. The study required the collection only of specimens that otherwise would have been discarded and information from medical records that were available to hospital personnel. There was no requirement for informed consent due to the anonymization of all samples and data. Members of a community advisory committee, who were selected for their specific knowledge, expertise, and focus on important child health concerns in Maryland, had the opportunity to learn about and comment on this study before it was conducted. Between 26 November 2004 and 16 March 2005, all singleton, live birth deliveries occurring in the labor and delivery suite at the hospital were eligible for participation in the study. We excluded women who gave birth to multiple children or women who delivered a single child but had an initial twin gestation with fetal loss at ≥ 20 weeks. Newborns with major congenital anomalies likely to affect fetal growth were excluded as well.

Over the course of the study period, 609 live births occurred at the Johns Hopkins Hospital, of which 597 were singleton births. We obtained cord blood specimens from 341 of these, of which 42 had insufficient volume for laboratory analyses and were excluded from this study. Additionally, six births were excluded due to known major congenital anomalies ( n = 5) or an initial twin gestation ( n = 1), leaving a total of 293 study participants. We conducted a brief survey of hospital personnel to understand the major reasons for missed specimen collection. The most common explanations included complications during delivery, premature birth and/or small size of the infant resulting in small quantity of available cord blood, and logistical factors such as understaffing. The babies who were not included had somewhat lower gestational ages and birth weightsterm·mth. In addition, factors associated with insufficient blood volumes collected were preterm birth, low birth weightterm·mth, being first born, and younger age of mother.

Detailed methods for the collection and analysis of cord blood samples are described in a prior publication ( ApelbergpersName et al. 2007 ). Briefly, samples were collected from the umbilical cord vein by hospital personnel using a sterile technique immediately after a singleton birth delivery ( WitterpersName et al. 2001 ). Within 3 hr, refrigerated specimens were centrifuged and serum was stored at −80°C in 2-mL polypropylene cryovials, previously pre-screened and shown to be free of PFC contaminants. Specimens were transferred on dry ice to the Centers for Disease Control and Prevention (CDC) for laboratory analyses.

Medical records We abstracted maternal and infant characteristics from clinical databases maintained by the hospital. Maternal information was abstracted by two study investigators concurrently (B.J.A., J.B.H.), and a random 10% sample was verified by two others (L.R.G., F.R.W.). Additional information was obtained from forms filled out by the nursing staff at the time of delivery. Age, race, education, and parity were based on self-report. Body mass index (BMI) was calculated from reported prepregnancy weight and height. Gestational age was based on the best obstetric estimate. Infant sex was abstracted from the mother’s medical record and confirmed with the infant record. Information on maternal health conditions was abstracted from the medical record. Maternal smoking status at birth was defined using a combination of the maternal medical record and cord serumterm·key cotinine concentrations. Cotinine concentrations > 10 ng/mL were categorized as exposure to maternal active smoking. If the clinical record indicated that the mother reported smoking at any time during pregnancy, she was considered an active smoker regardless of the cotinine concentration in cord serumterm·key.

Infant anthropometric measures were abstracted from the infant medical record. Birth weightterm·mth in grams obtained from the maternal record was confirmed with the infant record. Head circumferenceterm·mth and length in centimeters were abstracted from the infant record. Ponderal indexterm·mth was calculated as the ratio of birth weightterm·mth in grams to length in centimeters cubed, multiplied by 100 ( birth-weight/length 3 × 100 ). We examined the relationships among gestational age, birth weightterm·mth, length, and head circumferenceterm·mth to identify outlying values, which were verified using the infant and maternal record. All congenital conditions on the birth record were recorded and reviewed by a clinician blinded to exposure status to determine which subjects had major malformations and should be excluded from this study. Because only singleton births were eligible for this study, we retrospectively excluded one birth, which, unknown to us at the time of sample collection, was from a twin gestation with demise of the other twin at 20 weeks.

Laboratory analysis Polyfluoroalkyl compoundsterm We analyzed cord serumterm·key samples for PFOSterm·key, PFOAterm·key, and nine other PFCs using a modification of the method of Kuklenyik et al. (2005) , described in detail previously ( ApelbergpersName et al. 2007 ; Kuklenyik et al. 2005 ). This analytical methodology has been used to measure PFCs in large-scale surveys, including the National Health and Nutrition Examination Survey (NHANES) ( CalafatpersName et al. 2007 ). Briefly, without protein precipitation, the analytes in one aliquot of 100 μL of serum were preconcentrated using automated solid phase extraction, chromatographically resolved by reversed-phase high performance liquid chromatography (HPLC), and detected by negative-ion TurboIonSpray ionization-isotope dilution-tandem mass spectrometry (MS/MS). For quantification, we used 18 O 2 -PFOS and 18 O 2 -PFOSA (RTI International, Research Triangle Park, NC) and 13 C 2 -PFOA provided by Dupont Co. (Wilmington, DE). The limit of detection (LOD), calculated as 3S 0 , where S 0 is the standard deviation as the concentration approaches zero ( Taylor 1987 ), was 0.2 ng/mL for both PFOSterm·key and PFOAterm·key ( Kuklenyik et al. 2005 ); the limit of quantitation was three times the LOD. In these cord serumterm·key samples, the precursor/product ion m/z transition used for the quantification of PFOSterm·key (499/99) had an interference. Therefore, PFOSterm·key concentrations were calculated using another transition (499/130), normally used to confirm the presence of PFOSterm·key. The standard accuracies (93–118%) were obtained at three spike levels [LOD, 1.25 ng/mL (6.6 ng/mL for PFOSterm·key) and 12.5 ng/mL (50 ng/mL for PFOSterm·key)] ( Kuklenyik et al. 2005 ). Quality control (QC) materials [low-concentration (~ 3 ng/mL to ~ 9 ng/mL) and high-concentration (~ 10 ng/mL to ~ 30 ng/mL)], prepared from a base calf serum pool, and reagent blank samples were included in each analytical batch along with the unknown samples and evaluated according to standard statistical probability rules ( Kuklenyik et al. 2005 ). Under the experimental conditions described above, the coefficients of variation of repeated measurements of the QC materials, which reflect the inter-batch precision within a period of 9 months, were 12.9–20.6% (PFOSterm·key) and 10.7–11.6% (PFOAterm·key). All laboratory analyses were conducted by investigators blinded to the characteristics of study subjects.

Cotinine Concentrations of cotinine in serum were determined using a method described by Bernert et al. (1997) . It employs HPLC coupled with atmospheric pressure chemical ionization MS/MS to measure serum cotinine concentrations with high accuracy and sensitivity (LOD = 0.015 ng/mL). This method ( Bernert et al. 1997 ) has been used to assess exposure to environmental tobacco smoke in NHANES and other large-scale surveys.

Lipids Serum lipid concentration analyses were conducted using commercially available test kits from Roche Diagnostics Corp. (Indianapolis, IN) for the quantitative determination of total triglycerides (product no. 011002803-0600) and total cholesterol (product no. 011573303-0600). Final determinations were made on a Hitachi 912 Chemistry Analyzer (Hitachi, Tokyo, Japan).

Statistical analysis We used descriptive statistics appropriate for right-skewed data to characterize PFOSterm·key and PFOAterm·key concentrations and the Kruskall-Wallis test to compare median concentrations across demographic characteristics. Spearman rank correlation was used to estimate the correlation between cord serumterm·key concentrations of the two compounds. Because PFOSterm·key and PFOAterm·key concentrations were skewed to the right, all statistical tests requiring assumptions of normality were conducted on natural log-transformed concentrations. Natural log-transformed concentrations were also used as independent variables in regression analysis to minimize the potential influence of extreme values on the regression coefficients. Further, natural log-transformed concentrations provided a better fit than untransformed data in most regression models, based on the Akaike Information Criterion ( Akaike 1973 ) and the model R 2 . Concentrations below the LOD for PFOSterm·key, PFOAterm·key, and cotinine were set to the LOD divided by the square root of two for all analyses ( Hornung and Reed 1990 ).

We conducted univariate and multivariate linear regression analyses to examine associations between PFOSterm·key or PFOAterm·key and gestational age, birth weightterm·mth, head circumferenceterm·mth, length, and ponderal indexterm·mth. Key determinants of gestational age included in regression models were smoking status, age, race, prepregnancy BMI, previous preterm birth, diabetes, and hypertension. Key determinants of birth weightterm·mth and birth size included in the primary adjusted models were smoking status, age, gestational age, race, prepregnancy BMI, net weight gain during pregnancy (weight gain minus birth weightterm·mth), height, parity, infant sex, diabetes, and hypertension. Diabetes was defined to include subjects with preexisting or gestational diabetes, assuming that both conditions would result in increased fetal weight for age. Similarly, hypertension was defined to include subjects with preeclampsia, pregnancy-induced hypertension, and chronic hypertension, which were expected to result in decreased weight for age. For consistency, the same set of covariates was included in the primary regression model for each end point other than gestational age, except for delivery mode [vaginal versus caesarian section (C-section)], which was included as a predictor of head circumferenceterm·mth. We also explored the possibility of an interaction between delivery mode and cord PFOSterm·key or PFOAterm·key concentrations on head circumferenceterm·mth. Based on the empirical evidence, a quadratic term for maternal age was included in regressions of gestational age, birth weightterm·mth, head circumferenceterm·mth, and ponderal indexterm·mth, but not for length. A quadratic term for gestational age was included in regressions of head circumferenceterm·mth only. All other terms were included in the models as linear or categorical (indicator) variables. We considered maternal education level as a measure of socioeconomic status, but it was not included in the final models because it did not materially change the coefficient estimates. We also conducted regressions before and after controlling for total lipids, total cholesterol, and triglycerides to examine the possible role of serum lipids as a mediator of any relationships between PFOSterm·key or PFOAterm·key concentrations and birth weightterm·mth and size.

A small number (< 4%) of participants were missing data on prepregnancy weight, height, and/or net weight gain during pregnancy, which are important predictors of birth weightterm·mth and size. We imputed the missing data with the median value of height, weight, and/or weight gain. As a sensitivity analysis, we examined the impact of imputing BMI or weight gain with extreme values and found no material effect on the regression coefficients for PFOSterm·key or PFOAterm·key.

Regression diagnostics were conducted for all models, including examination of fit, heteroskedasticity, and influence. Statistical analyses were performed using STATA version 8.0 (StataCorp., College Station, TX).

Results PFOAterm·key was detected in 100% of cord blood serum samples, and PFOSterm·key was detected in > 99% of samples. The median PFOAterm·key concentration was 1.6 ng/mL (range, 0.3 to 7.1 ng/mL) and the median PFOSterm·key concentration was 5 ng/mL [range, < LOD (0.2) to 34.8 ng/mL]. Concentrations of PFOSterm·key and PFOAterm·key in cord serumterm·key were highly correlated (Spearman rank correlation coefficient, 0.58; p < 0.01).

Table 1 shows the characteristics of the study population stratified by median (and interquartile range) cord PFOSterm·key and PFOAterm·key concentrations. Statistically significant differences ( p < 0.05) in median PFOSterm·key concentrations were observed by race, smoking status, and hypertension, and differences in median PFOAterm·key concentrations were observed by BMI category, parity, and infant sex. The distribution of fetal growth indices are shown in Table 2 .

Table 3 shows univariate and multivariate regression model results of gestational age, birth weightterm·mth, length, head circumferenceterm·mth, and ponderal indexterm·mth on natural log-transformed PFOSterm·key and PFOAterm·key concentrations. The coefficients from these regression models are equivalent to a change in the end point associated with a 2.7-fold increase in PFOSterm·key or PFOAterm·key. To present these findings on the arithmetic scale for PFOSterm·key and PFOAterm·key, we also converted the adjusted coefficients into the estimated difference in each end point associated with an increase from the 25th to 75th percentile of concentration ( Table 3 ). This corresponds to an increase in concentration from 3.4 to 7.9 ng/mL for PFOSterm·key and from 1.2 to 2.1 ng/mL for PFOAterm·key. Multivariate models of birth weightterm·mth and size are presented both adjusted for gestational age only and fully adjusted as described above.

A non-statistically significant positive association was observed between PFOSterm·key and PFOAterm·key and gestational age, which diminished with adjustment for key predictors of gestational age. After adjusting for gestational age, both chemicals were negatively associated with birth weightterm·mth ( p < 0.05). Further adjustment for additional covariates resulted in an attenuation of this association. In the fully adjusted model, a ln-unit increase in cord concentration was associated with a decrease in mean birth weightterm·mth of 69 g [95% confidence interval (CI), −149 to 10) for PFOSterm·key and 104 g (95% CI, −213 to 5) for PFOAterm·key. For head circumferenceterm·mth, a negative association was observed with PFOSterm·key in multivariate analyses. Under the fully adjusted model, an increase in one ln-unit of PFOSterm·key was associated with a decrease in mean head circumferenceterm·mth of 0.32 cm (95% CI, −0.56 to −0.07). For PFOAterm·key, a negative association was observed in both univariate and multivariate analyses. In the fully adjusted model, a ln-unit increase in PFOAterm·key was associated with a decrease in mean head circumferenceterm·mth of 0.41 cm (95% CI, −0.76 to −0.07). The association between PFOAterm·key and head circumferenceterm·mth was also consistent with a curvilinear relationship on the log scale, which was confirmed by inclusion of a quadratic term ( p < 0.05) in the model (data not shown). Negative associations were observed for both PFOSterm·key and PFOAterm·key with ponderal indexterm·mth in univariate and multivariate models. After full adjustment, a ln-unit increase in PFOSterm·key concentration was associated with a decrease in average ponderal indexterm·mth (g/cm 3 × 100) of 0.074 (95% CI, −0.123 to −0.025). An increase in PFOAterm·key equal to one ln-unit was associated with a decrease in mean ponderal indexterm·mth (g/cm 3 × 100) of 0.070 (95% CI, −0.138 to −0.001). In contrast, neither PFOSterm·key nor PFOAterm·key was significantly associated with newborn length in univariate or multivariate models ( Table 3 ). The predicted values from selected regression models are plotted across the full range of ln(PFOSterm·key) and ln(PFOAterm·key) concentrations in Figure 1 .

We examined the relationships between PFOSterm·key and PFOAterm·key concentrations with serum total cholesterol, triglycerides, and total lipids and found no evidence of an association between chemical exposure and any of these biomarkers. Consequently, adjusting for these measures had no impact on the associations observed between PFOSterm·key or PFOAterm·key and the end points under study [see Supplemental Material (online at http://www.ehponline.org/docs/2007/10334/suppl.pdf )].

As expected, delivery mode was associated with head circumferenceterm·mth, with babies born by C-section having larger head circumferencesterm·mth, on average, compared with vaginal deliveries, after adjusting for potential confounders. Because of the potential for increased measurement error due to head molding in vaginal deliveries, we included an interaction term between PFOSterm·key and PFOAterm·key with delivery mode, which was statistically significant ( p < 0.05). Surprisingly, the negative association was restricted to vaginal births. Among vaginal births, both PFOSterm·key and PFOAterm·key were negatively associated with head circumferenceterm·mth [−0.46 cm per ln-unit PFOSterm·key (95% CI −0.73 to −0.19); −0.62 cm per ln-unit PFOAterm·key (95% CI −1.0 to −0.23)]. Among C-sections, there was a nonsignificant positive association between both PFOSterm·key and PFOAterm·key and head circumferenceterm·mth. To further explore this issue, we evaluated whether this statistical interaction was also present for birth weightterm·mth and ponderal indexterm·mth (data not shown). For birth weightterm·mth, some evidence of an interaction in the same direction was observed with PFOAterm·key ( p < 0.05) and PFOSterm·key ( p = 0.08). No evidence of an interaction was observed for ponderal indexterm·mth.

Discussion In a previous study, we documented the magnitude and determinants of fetal cord serumterm·key concentrations of PFOSterm·key and PFOAterm·key among deliveries occurring at a hospital in Baltimore, Maryland ( ApelbergpersName et al. 2007 ). In this study, we examined the relationship between these concentrations and gestational age, birth weightterm·mth, and birth size. Our results showed negative associations between both PFOSterm·key and PFOAterm·key concentrations and birth weightterm·mth and ponderal indexterm·mth, after adjusting for potential confounders. We also observed a negative association between both PFOSterm·key and PFOAterm·key concentrations and head circumferenceterm·mth. For reasons unknown, the negative associations with birth weightterm·mth and head circumferenceterm·mth were observed only among vaginal deliveries. However, these comprised most of our population (77.8%). This finding could be attributed to chance or could be associated with underlying complications that led to a delivery by C-section in our population. By contrast, no significant associations were observed between either PFOSterm·key or PFOAterm·key concentrations and newborn length or gestational age. Adjusting for gestational age had the greatest impact on the association between PFOSterm·key and PFOAterm·key concentrations and birth weightterm·mth and size, which tended to strengthen the associations observed.

Head circumferenceterm·mth has been used as a measure of brain growthterm·dom and development ( Lindley et al. 1999 ). Future studies will be needed to evaluate whether this finding can be confirmed and, if so, whether there are associated alterations in neurodevelopment. Ponderal indexterm·mth has been used by clinicians and epidemiologists as a measure of thinness at birthterm·dom and an indicator of disproportionate or asymmetric growth restriction. Fetal weight and soft tissue mass increase dramatically in the third trimester and the body becomes more proportional. It has been hypothesized that early insults during gestation result in symmetric growth restriction and later insults result in asymmetric growth restriction, but some empirical evidence conflicts with this notion about the timing of fetal growth disruption ( Cunningham et al. 2001 ; Vik et al. 1997 ). Kramer et al. (1989) showed that disproportionality increased with increasing severity of growth restriction, suggesting the presence of a continuum of fetal growth restrictionterm·dom, rather than two distinct patterns. Regardless, several studies have shown associations between low ponderal indexterm·mth and risk of adverse perinatal outcomes ( Cheung et al. 2002 ; Fay et al. 1991 ; Nieto et al. 1998 ; Villar et al. 1990 ).

The toxicology literature provides evidence of developmental effects among animals dosed with PFOSterm·key and PFOAterm·key, albeit at substantially higher levels than observed here ( Butenhoff et al. 2004 ; Fuentes et al. 2006 ; Grasty et al. 2003 ; Lau et al. 2003 , 2004 , 2006 ; Luebker et al. 2005a , 2005b ; Thibodeaux et al. 2003 ). For example, Luebker et al. (2005b) estimated a BMDL 5 (lower bound of the benchmark dose associated with a 5% change in response) for PFOSterm·key and birth weightterm·mth in rats of 0.39 mg/kg/day, equivalent to a rat fetal serum concentration of about 34,000 ng/mL. Butenhoff et al. (2004) reported BMDL 10 s for several postnatal developmental end points for PFOAterm·key in rats, ranging from 22 to 44 mg/kg/day, equivalent to rat fetal serum concentrations from 29,000 to 59,000 ng/mL. Thus, the serum concentrations of these compounds associated with developmental effects in rats are several orders of magnitude higher than the concentrations observed here.

Only limited epidemiologic data on PFCs and developmental outcomes exist. In one recent occupational epidemiologic study of perfluorooctanesulfonyl fluoride manufacturing workers, investigators examined the relationship between occupational PFOSterm·key exposure and self-reported medical conditions ( Grice et al. 2007 ). Among female respondents, a pregnancy history was ascertained, including the number of previous pregnancies and the weight (by recall) of all live births. The investigators found no association between cumulative PFOSterm·key exposure, based on a simple job exposure matrix, and maternally reported birth weightterm·mth. However, several key determinants of birth weightterm·mth were not adjusted for—most notably, the length of gestation—and the extent of follow-up of workers who left the company is unclear ( Grice et al. 2007 ).

Hypolipidemic effects have been among the sensitive changes observed in animals in response to PFOSterm·key and PFOAterm·key exposure ( Haughom and Spydevold 1992 ; Seacat et al. 2002 , 2003 ; Thibodeaux et al. 2003 ). In occupational studies, associations between exposure and cholesterol and triglyceride levels have been observed as well, although in the opposite direction ( Gilliland and Mandel 1996 ; Olsen et al. 1999 , 2003 ). It is plausible that if PFOSterm·key and PFOAterm·key were modifying lipid metabolism during pregnancy, this could be related to our observations of reduced weight for length. However, the observed associations between PFOSterm·key or PFOAterm·key and ponderal indexterm·mth were independent of cord serumterm·key lipid levels at birth. Future studies should examine the possible role of maternal or fetal lipid concentrations earlier in gestation on the associations observed here. Alternatively, alteration of fatty acid metabolism could have secondary nutritional impacts, such as on absorption of fat soluble vitamins. Further studies could determine whether levels of fat-soluble vitamins mediate or modify the associations between PFOSterm·key and PFOAterm·key concentrations and weight.

There are some potential limitations to this cross-sectional study, described below, which should lead to cautious interpretation of the results. We used a precise analytical method for the detection of subparts per billion PFC concentrations in human serum ( Kuklenyik et al. 2005 ). In this study, however, measurement error for PFOSterm·key may be greater than expected based on the method performance, because a different ion transition had to be used for quantification. In addition, anthropometric measurements such as head circumferenceterm·mth and length are likely to have a larger degree of measurement error than birth weightterm·mth, due both to head molding and the potential for measurement subjectivity. However, measurement error of either the exposure or end point would be expected to bias bivariate associations to the null if the error is completely random ( Brenner and Loomis 1994 ). Further, there is a range of normal variation for these end points in a population and small changes in weight and size at birth would not necessarily have clinical significance.

Given the relatively low serum concentrations, future studies should examine possible noncausal mechanisms that may be responsible for the associations reported here. PFOSterm·key and PFOAterm·key have an affinity for protein-binding and have been shown to accumulate in protein-rich compartments in biological systems ( Jones et al. 2003 ; Luebker et al. 2002 ; Vanden Heuvel et al. 1992 ). Because serum protein levels may be related to nutritional status, further studies should examine the potential role protein concentrations may play in the associations observed between fetal exposure to these chemicals and fetal growth. Additionally, poor maternal plasma volume expansion has been associated with smaller size at birth ( Salas et al. 1993 , 2006 ). If, hypothetically, reduced maternal plasma volume expansion led to higher cord blood concentrations of PFOSterm·key or PFOAterm·key, this could account for the associations observed here. However, preeclampsia and pregnancy-induced hypertension are both associated with poor maternal plasma volume expansion ( Salas et al. 2006 ), yet cord serumterm·key PFOSterm·key and PFOAterm·key concentrations were not elevated among women with these conditions ( Table 1 ). Placental weight is also related to maternal plasma volume ( Salas et al. 1993 ). When preeclampsia and hypertension, as well as placental weight (data not shown), were added to the regression models, the associations between PFOSterm·key and PFOAterm·key and growth outcomes did not change. Although we did not find support for this alternative explanation, future studies could examine whether plasma–volume changes during pregnancy may be responsible for the observed associations.

The use of medical records as the principal source for data on potential confounders is likely to result in some degree of misclassification. However, we observed the expected relationships between key predictors and birth outcomes [see Supplemental Material (online at http://www.ehponline.org/docs/2007/10334/suppl.pdf )], suggesting that the degree of residual confounding is likely to be small. Although we adjusted for the major known determinants of birth size and weight, it remains possible that other unmeasured factors, such as diet, may be confounding the relationships observed in this study. The maternal diet would be expected to be related to weight and size of the fetus, and it remains possible that the consumption of contaminated food or water, including the use of fast-food containers, is a pathway of exposure to PFOSterm·key and/or PFOAterm·key. To confound the relationships observed, undernutrition would have to be associated with greater PFOSterm·key or PFOAterm·key exposure. In this and in a previous publication, we reported slightly higher concentrations of both chemicals in underweight and obese mothers compared with normal weight mothers, although not all differences were statistically significant ( ApelbergpersName et al. 2007 ).

Finally, our study population represented a group of individuals with more risk factors for adverse birth outcomes than the United States as a whole. Compared with national estimates, the subjects in our population were more likely to be black, teenagers, unmarried, and cigarette smokers ( Hoyert et al. 2006 ). This is perhaps not surprising given the location of the hospital in an urban and economically disadvantaged community. Although not quantified, these subjects may also have higher rates of other risk factors for poor outcomes, such as substance abuse and infections. It is not clear what, if any, impact the presence of concomitant risk factors would have on the results reported here, but future studies should be conducted in other settings to confirm these findings.

In summary, we observed a small negative association between PFOSterm·key and PFOAterm·key concentrations in cord blood and birth weightterm·mth, ponderal indexterm·mth, and head circumferenceterm·mth. Although lipid metabolism alterations have been among the more sensitive effects observed in animal and human data, the associations observed here were independent of cord serumterm·key lipid levels. We suggest cautious interpretation of this study until the findings can be replicated in other populations.

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