- 积分
- 2338
好友
记录
日志
相册
回帖0
主题
分享
精华
威望 旺
钢镚 分
推荐 人
|
2. Materials and methods
2.1. Study population
The Healthy Baby Cohort (HBC) study, a longitudinal prospective birth cohort in Hubei Province, China, is committed to investigate the associations between environmental exposures and children's health. Details of the cohort study have been described previously (Yang et al., 2016). The population in this present study was selected from participants in Wuhan city, which enrolled 11,311 pregnant women from September 2012 through October 2014.
The present study restricted to a subset of women with paraben measurements in urine samples collected before delivery (n = 1016). These urine samples were randomly chosen from the participants who were enrolled in Wuhan during January to October 2014. Ineligible women who gave birth to infant with birth defects (n = 7), or had missing medical record data (n = 3) were excluded, leaving 1006 mother-infant pairs for analyses. None of the participants reported smoking or drinking during pregnancy. The women included in the present study did not significantly differ in the basic characteristics or the characteristics of their infants (sex, birth weight, gestational age) with the parent cohort.
All participants in this study provided written informed consent before enrollment. The research protocol received the approvals of the ethics committee of Tongji Medical College, Huazhong University of Science and Technology, and the study hospital.
2.2. Birth outcomes and covariates
At the time of delivery, routine anthropometric measurements including birth weight (g) and length (cm) were measured by trained nurses with standardized procedures. Information concerning history of gestation (parity), maternal age, education level, weight at delivery, and birth outcomes (infant's birth date, sex, gestational age at birth, birth weight, and birth length) were obtained from electronic medical records. Gestational age (in days) was calculated based on the date of last menstrual period (LMP) or assessed by ultrasound data if it differed from the LMP-based estimation by over 7 d due to the concerns over the reliability of the self-reported LMP estimation. Questionnaire information regarding maternal demographic characteristics and lifestyle factors (smoking, drinking, etc.) was collected by a face to face interview after delivery by specially trained nurses in the hospital. The pre-pregnancy body mass index (BMI) was calculated by self-reported pre-pregnancy weight and height.
2.3. Urine sample collection and paraben exposure assessments
The urine samples were collected immediately after the pregnant women admitted to the hospital for delivery (within 3 d before delivery), and divided into aliquots storing in the 5-mL polypropylene cryovials at −20 °C until further analysis.
Ultra performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) was used to analyze the urinary paraben concentrations, as previously reported by Wang et al. (2013) with some modifications. In brief, 1 mL urine sample was added with 25 μL isotope-labeled internal standard solution which contained 13C6-MeP, 13C6-EtP, 13C6-n-PrP, and 13C6-n-BuP (10 ng each), and then the mixture was incubated with 10 μL of β-glucuronidase/sulfatase at 37 °C overnight. The digested samples were further extracted for three times with 3 mL methyl tert-butyl ether (MTBE). The total supernatant organic layer was collected and concentrated to near-dryness at room temperature under a gentle stream of nitrogen gas. Finally, a 500-μL acetonitrile-water (6:4) was added, vortexed, and filtered into a vial for UPLC-MS/MS analysis.
Chromatographic separation and detection of target analytes were accomplished using Waters Acquity UPLC system (Waters Corporation, Maple Street Milford, MA, USA), interfaced with a Waters TQD triple quadrupole tandem mass spectrometer, negative-ion electrospray ionization mass spectrometry (ESI-MS/MS) and multiple reaction monitoring mode (Waters Corporation). Five μL of the extract was injected onto an analytical column (Betasil C18, 100 × 2.1 mm column; Thermo Electron Corporation, Waltham, MA), which was connected serially to a guard column (Betasil C18, 20 × 2.1 mm column; Thermo Electron Corporation, Waltham, MA, USA). The mobile phase comprised methanol and ultrapure water. All samples were coded anonymously during the measurement. Each batch of analytical run included calibration standards, thirty samples, procedural blanks, matrix spiked samples, and duplicates. Recoveries of all target compounds corrected by isotope-labeled internal ranged from 85% to 109%. The mean recovery of 13C6-labeled internal standard was 73% for 13C6-MeP, 89% for 13C6-EtP, 87% for 13C6-n-PrP and 80% for 13C6-n-BuP, respectively. The analysis of selected duplicate samples showed that the between-assay and within-assay coefficient of variation were both < 15%. Field blanks were also conducted to evaluate the potential contamination. Quantification of parabens was calculated based on the ratios between areas of the target analytes and their respective internal standards, which were 13C6-MeP for MeP, 13C6-EtP for EtP, 13C6-n-PrP for PrP, and 13C6-n-BuP for BuP and BzP. Instrumental calibration ranged in concentrations of target chemicals from 0.2 to 500 ng/mL, and the regression coefficients (r) were above 0.995 for all target analytes. The limits of detection (LODs) were 0.02 ng/mL for EtP and BzP, 0.03 ng/mL for MeP, and 0.06 ng/mL for PrP and BuP.
Specific gravity (SG) of the urine samples were measured at room temperature using a hand-held digital refractometer (Atago Co., Ltd., Tokyo, Japan) and the concentration of urinary parabens were corrected by the measured SG to adjust for urine dilution through the following formula: Pc = P [(1.012–1)/(SG–1)], where Pc is the SG-adjusted urinary concentration (ng/mL), P is the measured urinary concentration (ng/mL), and SG is the specific gravity of the urine sample. The value of 1.012 was the median SG for the urine samples of this study population.
2.4. Statistical analysis
Geometric means and specific percentiles, including unadjusted and SG adjusted concentration, were calculated to describe the distributions of urinary parabens among pregnant women in this study. The sum of paraben (SumP) concentration was calculated by adding the molar concentrations of MeP, EtP, PrP, BuP and BzP. The SG adjusted concentrations of parabens were stratified into tertiles to categorize participants into low, medium and high exposure groups in order to explore nonlinear relationship between paraben exposure levels and size of infants at birth. In addition, values for paraben concentrations below the limit of detection (LOD) were replaced with LOD divided by the square root of 2 (Hornung and Reed, 1990), and natural log (ln) transformation of paraben concentrations were proceeded to produce normal distributions. Pearson correlation coefficients were calculated between different types of parabens using ln-transformed concentrations.
General linear models were used to compare the differences in the SG adjusted ln-transformed concentrations of parabens between categories of pre-pregnancy BMI (normal: 18.5–23.9; underweight: < 18.5; overweight: ≥ 24 kg/m2), pregnancy weight gain (< 16 and ≥ 16 kg, median as the cut-point), maternal height (< 1.60 and ≥ 1.60 m, median as the cut-point), paternal height (< 1.73 and ≥ 1.73 m, median as the cut-point), maternal age (< 25; 25–29; 30–34; ≥ 35 years), parity [0 (nulliparous) and ≥ 1 (multiparous)], education level (high school and below; more than high school), and infant sex (male and female).
Associations between SG adjusted concentrations of maternal urinary parabens and continuous birth weight, along with birth length were estimated using separate general linear models. The analysis of association with birth weight was further restricted to the term birth infants. Test for trend was conducted by modeling the tertile-specific median biomarker levels as continuous variable and evaluated the statistical significance of this predictor. We took biological and statistical reasons into consideration to include the covariates in the final models. Potential confounders such as gestational age, pre-pregnancy BMI, weight gain during pregnancy, maternal age, maternal education level, maternal and paternal height (for models which estimated the association between birth length and paraben exposure), and infant's sex (except in models conducting stratified analysis by sex) were entered into the final multi-variable model with p-value < 0.2 for the statistical consideration. The cut off at p-value was broadened from 0.1 to 0.2 for the variables entering into the multivariable model in order to avoid omitting some important confounders, as some previous studies suggested ( Holm Tveit et al., 2009 ; Cao et al., 2016). Parity was included in final models even with p-value > 0.2, in consideration of the biological reason ( Shah, 2010). Considering that parabens are hormonally active, we further examined the associations between urinary paraben exposure levels and size at birth stratified by infant sex. Potential interactions between infant sex and paraben exposure in models with birth weight and length as outcomes were tested by inserting infant sex × ln-transformed SG adjusted urinary paraben concentrations into the models.
Statistical analyses were performed using Statistical Analysis System (SAS) version 9.4 (SAS Institute Inc., Cary, NC, USA). All tests were two sided and statistical significance was defined as a p value < 0.05. |
|