Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2015 Aug 15.
Published in final edited form as: Sci Total Environ. 2014 Jun 7;490:1037–1043. doi: 10.1016/j.scitotenv.2014.05.075

Organochlorine Pesticide Levels in Maternal Serum and Risk of Neural Tube Defects in Offspring in Shanxi Province, China: A Case-Control Study

Bin Wang , Deqing Yi , Lei Jin , Zhiwen Li , Jufen Liu , Yali Zhang , Xinghua Qiu §, Wenxin Liu , Shu Tao , Aiguo Ren †,*
PMCID: PMC4133271  NIHMSID: NIHMS604792  PMID: 24911776

Abstract

Organochlorine pesticides (OCPs) in placental tissue have been reported to be associated with an increased risk for fetal neural tube defects (NTDs). Our case-control study was performed to explore the association between maternal serum OCP concentration and NTD risk in offspring. Serum samples were collected from 117 mothers who delivered NTD infants (case group) and 121 mothers who delivered healthy infants (control group). Only three of the 25 OCPs were detected in more than half of the maternal serum samples. The median concentration of total OCPs in the case group was significantly higher than that of the control group. However, no dose-response relationships between higher levels of any individual OCP or total OCPs and the risk of NTDs or subtypes were observed in either the unadjusted binary unconditional logistic regression model or the model adjusted by potential confounders. We conclude that no clear association between maternal serum OCP residues and NTD risk in offspring was observed in this population.

Keywords: neural tube defect, risk, organochlorine pesticides, maternal serum, case-control study

1. Introduction

Neural tube defects (NTDs) are a group of congenital malformations resulting from the failure of the neural tube to close by the 28th day of conception. NTD rate is about one in every 1000 established pregnancies worldwide, ranging from 0.2 to 10 per 1000 depending on the specific geographical locations (Copp et al., 2013). In developed countries, like in United States, NTD rate is 0.5 in 1000 births, while it is considerably higher in developing areas such as Latin America (2.2 per 1000 births in Argentina and 3.1 per 1000 births in Brazil) (Castilla et al., 2003) and China (13.9 per 1000 births) (Li et al., 2006). NTDs result in both great economic and psychological burdens for the patients and their family. Thus, NTDs continue to be a major public health issue and are gaining extensive attention around the world (Wallingford et al., 2013).

The etiology of NTDs is very complex. Folate acid supplementation has been proved to be an efficient way to reduce the risk of fetal NTDs by both observational studies and randomized trials (Copp et al., 2013), but the underlying mechanism of NTD prevention with folic acid remains poorly understood (Wallingford et al., 2013). On the other hand, 30–50% of NTD cases are not folate preventable, and other factors must be considered (Blom et al., 2006). Environmental pollutants are implicated in the development of NTDs from both animal experiments (Barbieri et al., 1986) and a human epidemiological study on occupational exposure to polycyclic aromatic hydrocarbons (Langlois et al., 2012).

Organochlorine pesticides (OCPs) were extensively used in agriculture throughout the world between 1950 and 1970 (Li and Macdonald, 2005). Most of OCPs were banned for use in 1970s in many countries, but many developing countries continue using them in agricultural industry and for malaria control due to their low-cost and effectiveness. Although OCPs production and application in China were officially prohibited in 1983 (Nakata et al., 2002), they have been detected in soil (Zhou et al., 2013), food (Yu et al., 2012), maternal blood (Qu et al., 2010), and even umbilical cord blood (Yu et al., 2013) and placenta (Ren et al., 2011) in recent years. OCPs have attracted worldwide concern for decades because of their long half-lives and potential adverse effects on both environment (Nakata et al., 2002) and human health (Androutsopoulos et al., 2013).

Despite their presence at low levels in humans, they can have adverse effects by interacting with a wide range of enzymes, proteins, receptors and transcription factors, resulting in reproductive and developmental defects (Androutsopoulos et al., 2013). For example, p,p′-dichlorodiphenyldichloroethylene (p,p′-DDE) at high concentrations can act as an inhibitor of 5α-reductase, the enzyme that converts testosterone to dihydrotestosterone (Frye et al., 2012). Long-term environmental exposure to certain OCPs (i.e., lindane and dieldrin) has been associated with the development of neurodegenerative disorders (Heusinkveld and Westerink, 2012).

Two previous studies found that maternal exposure to OCPs could potentially increase NTD risk in the offspring (Brender et al., 2010; Shaw et al., 1999). Placental samples were used to investigate the association between placental levels of OCPs and the NTD risk in our previous study, and a dose-response relationship between OCPs (including o,p′-dichlorodiphenyltrichloroethane and metabolites, and hexachlorocyclohexanes) and NTD risks was observed (Ren et al., 2011). OCP residues bound to fat in maternal body can be released into blood stream (Noren et al., 1999), and then transferred to fetus through the placenta (Longnecker et al., 1999). Levels of polychlorinated biphenyls, p,p′-DDE, and hexachlorobenzene in the placenta were found to correlate well with those measured in maternal blood serum (Bergonzi et al., 2009; Yu et al., 2013). Therefore, the maternal OCP concentrations could present the exposure of fetus. However, human blood sample is not always available in sufficient amounts for a reliable analysis for OCPs compared with other biospecimens, such as human hair, and its reliability is still in dispute (Michalakis et al., 2013; Tsatsakis et al., 2008). Even though these studies found correlations between OCP levels in maternal blood and the placenta, the association between low levels of OCPs in serum of pregnant women and fetal NTD risk remains unknown. Therefore, the aim of this study was to examine the association between OCP concentrations in maternal serum and risks of NTDs in offspring.

2. Material and methods

2.1 Study population

Subjects were recruited from Taigu, Pingding, Xiyang, Shouyang, Zezhou, and Changzhi in Shanxi Province, China from November, 2010 to March, 2013. This area was selected because it has a relatively higher NTD rate and higher levels of OCP residues in the placenta than other sites (Ren et al., 2011). NTD cases were determined through a population-based birth defects surveillance program which showed an overall NTD prevalence of 13.9 per 1000 pregnancies (Li et al., 2006). In the surveillance program, major external structural birth defects, including NTDs, were ascertained by active case monitoring. The control group consisted of mothers who delivered healthy infants with no congenital malformations. For every NTD case, the mother of a healthy newborn was selected as a control at the same hospital or clinic. The controls were selected to match cases by mother’s place of residence and last menstrual period (± 2 weeks). Information on mother’s socio-demographic characteristics, reproductive history, periconceptional folate supplementation, fever or flu during early pregnancy, drinking alcohol, active or secondhand smoking during the periconceptional period was collected by face-to-face interviews conducted by trained local health workers at hospitals and clinics within the first week of delivery or pregnancy termination. We took the following measures to minimize the potential information bias. First, we trained local health workers at hospitals and clinics to standardize the interview procedures; second, the structured questionnaire contained questions that are straightforward. We did an independent survey on the accuracy and reproducibility of the case-control data, and found the coincidence rate for major variables collected in the case-control study was 93.4% (Li et al., 2011). Fasting blood samples of 117 NTD case mothers (anencephaly, 44; spinal bifida, 67; encephalocele, 6) and 121 control mothers were collected at delivery or termination of NTD-affected pregnancies. Serum was separated immediately, stored at −20°C, and transferred on dry ice to the laboratory for processing and analyses. All the serum samples were kept at −80°C until extraction. The study protocol was approved by the institutional review board of Peking University, and written consent from the mothers was obtained.

2.2 Solvents and reagents

Acetonitrile and n-hexane of Ultra Resi-Analyzed® were purchased from Merck, Germany, and acetone and dichloromethane of Suprasolv® from J.T. Baker®, USA. Silica gel (100–200 mesh), neutral aluminum oxide (200–300 mesh), and granular anhydrous sodium sulfate were all from Beijing Reagent, China. Silica gel and neutral aluminum oxide were heated at 450ºC for 4 h, and the anhydrous sodium sulfate was baked at 600°C for 6 h to remove impurities. Silica gel was further reactivated, then kept in a sealed desiccator and heated at 130°C for at least 16 h before use. Granular anhydrous sodium sulfate was stored in a sealed glass bottle after cleaning. All glassware was cleaned with an ultrasonic cleaner (KQ-500B, Kunshan, China) for 30 min with liquid detergent, rinsed with distilled water, and afterward baked at 400°C for 6 h.

2.3 Laboratory Analyses

The extraction and cleanup procedures for OCP analysis have been described previously (Yu et al., 2013). A modified method of OCP extraction was using microwave extraction method was described in (Wang et al., 2011). Briefly, 0.6–1.5 ml serum spiked with the recovery surrogate (1-bromo-2-nitrobenze, J&K Chemical, USA) was extracted with 20 ml acetonitrile using microwave extraction system (CEM Mars Xpress, USA, 1200W). The temperature program was as follow: increasing from room temperature to 110°C in 10 min and holding at 110°C for another 10 min. The lipid in the extract was filtered using a 37 mm (diameter) glass fiber filter (0.22 μm). The filtrate was transferred to a 250-ml separatory funnel and then extracted with 30 ml n-hexane with a 4% sodium sulfate solution, twice. The extraction (about 60 ml n-hexane) was concentrated to about 1 ml in a rotary evaporator and transferred to a silica/alumina gel cleanup column (30 cm×10 mm i.d.) containing from bottom to top: 12 cm alumina, 12 cm silica gel, and 1 cm anhydrous sodium sulfate; and conditioned with 10 ml hexane). The column was eluted with 50 ml hexane/dichloromethane (1:1, v/v), and the eluate was concentrated to about 1 ml and spiked with an internal standard (pentachloronitrobenzene, from J&K Chemical, USA). A gas chromatograph (GC, Agilent 7890) coupled with a mass spectrometer (MS, Agilent 5975) and equipped with a HP-5MS capillary column (30 m × 0.25 mm × 0.25 μm) was used to detect OCPs. The GC oven temperature program was 50°C for 2 min, increased to 150°C at a rate of 10°C/min, to 240 at 3°C/min, and to 300°C, and held for 58 min. Helium was used as the carrier gas. OCPs were identified based on the retention times and qualifying ions of standards in selected ion monitoring mode with negative chemical ionization source. The 25 OCPs (OCP mix standards, from J&K Chemical, USA) including pentachlorobenzene (PeHB), hexachlorobenzene (HCB), a-hexachlorocyclohexane (a-HCH), β-hexachlorocyclohexane (β-HCH, γ-hexachlorocyclohexane (γ-HCH), δ-hexachlorocyclohexane (δ-HCH), o,p′-dichlorodiphenyltrichloroethane (o,p′-DDT), p,p′-dichlorodiphenyltrichloroethane (p, p′-DDT), o,p′-dichlorodiphenyldichloroethylene (o,p′-DDE), p,p′-dichlorodiphenyldichloroethylene (p,p′-DDE), o,p′-Dichlorodiphenyldichloroethane (o,p′-DDD), p,p′-Dichlorodiphenyldichloroethane (p,p′-DDD), heptachlor, aldrin, isodrin, heptachlor epoxide (A) (Hepta-EpoA), heptachlor epoxide (B) (Hepta-EpoB), oxychlordane, a-chlordane, γ-chlordane, endosulfan, dieldrin, endrin, endosulfan I, endosulfan II, methoxychlor and mirex were measured.

Triglycerides and cholesterol contents were measured by the oxidase method (INTEC (Xiamen) Technology Co., LTD, China) following the standard protocol. The optical density was quantified by an automatic biochemical analyzer (Olympus AU400, Japan).

2.4 QA/QC

Two procedure blanks and a reagent blank were included for each batch (18–20 samples) of serum samples. The possible degradation of p, p′-DDT in the injector was routinely checked. The recoveries of the surrogate standard in serum samples varied from 22.8% to 139% with the mean and standard deviation (73.4 ± 18.7%). To evaluate the extraction efficiency of the OCPs analysis method, a serum sample was devided in 6 aliquots and 25 OCPs were spiked on three of them. Recoveries for the 25 OCP standards varied from 56.3% (δ-HCH) to 117% (β-HCH) with the mean and standard deviation (94.3 ± 14.7%). The detailed recoveries for them were shown in Figure 1 (Appendices).

2.5 Data analyses

The study was originally designed as a matched case-control study. However, some blood samples were not available for evaluation because consent could not be obtained from some women, or collecting a blood sample from a control mother matched to a terminated case mother was often delayed because we had to wait till term delivery of the control mother. To maximize the sample size, we broke the pairs in data analyses. We examined the distribution of the two matching variables in the two groups and found no difference.

The OCP concentration in serum was normalized by lipid content and reported as ng/g lipid. Total lipid content (TL, g/l)) was calculated based on the concentrations of triglycerides (Tg, g/l) and total cholesterol (Tc, g/l) using the formula TL=0.92+1.31×(Tg+Tc) (Rylander et al., 2006). The limits of detection (LOD) of all chlorinated compounds in serum ranged from 0.03 to 0.10 ng/mL. Samples with concentrations below the LOD were assigned to be zero. Because the measured OCP concentrations were not normally distributed, the median with the interquartile range (IQR) was used to describe the skewed distributions of the chemical concentrations. Difference in proportions between groups was examined with Pearson’s χ2 test. Non-parametric analysis was used to compare the medians between the case and control groups. For dose-response analysis, concentration quartiles of total OCPs of the control group were used as the cutoff values. The risk of NTDs associated with OCP levels was estimated by odds ratio (OR) with 95% confidence internal (CI). Binary unconditional logistic regression was used for the trend analysis. We took NTDs status as dependent variable, level of OCPs exposure (in quartile category) as independent variable, whilst adjusting for the factors that were significantly different between the case and the control group: maternal occupation, age, educational level, prepregnancy body mass index (BMI), periconceptional folic acid supplementation, active or secondhand smoking and drinking alcohol during the periconceptional period, and fever or flu during early pregnancy. Statistical analyses were conducted using SPSS 16.0. A two-tail p value of < 0.05 was considered to indicate statistical significance.

3. Results and Discussion

3.1 Characteristics

Characteristics of the subjects participating in this study and the associated univariate risk for NTDs were summarized in Table 1. There was a significant difference between the two groups with respect to maternal age, prepregnancy BMI, education, periconceptional folate supplementation, fever or flu occurrence and alcohol drinking during early pregnancy. There tended to be slight differences for maternal occupation (p = 0.057) and previous birth defects history (p = 0.066).

Table 1.

Characteristics of women who had pregnancies affected by NTDs (cases) and women who delivered healthy infants (controls) and their associated univariate risk for NTDs.

Characteristics Cases (n = 117) Controls (n = 121) p Unadjusted OR§ (95% CI)
Maternal age(y)
 < 25 45 (40) 69 (57) 0.011 1.0
 25 – 29 23 (29) 31 (26) 1.52 (0.82 – 2.81)
 ≥30 35 (31) 20 (17) 2.14 (1.11 – 4.12) *
Maternal prepregnancy BMI (kg/m2)
 < 18.5 12 (11) 12 (10) 0.032 1.0
 18.5–24.9 60 (54) 82 (70) 0.840 (0.352 – 2.00)
 ≥ 25 38 (35) 23 (20) 2.61 (0.992 – 6.88)
Maternal education
 Primary or lower 9 (8) 2 (2) < 0.001 1.0
 Junior high 85 (73) 67 (55) 0.267 (0.056 – 1.28)
 High school or above 22 (19) 52 (43) 0.107 (0.021 – 0.532) **
Maternal occupation
 Farmer 93 (80) 84 (69) 0.057 1.0
 Non-farmer 23 (20) 37 (31) 0.616 (0.340 – 1.12)
Previous birth defects history
 No 108 (95) 114 (99) 0.066 1.0
 Yes 6 (5) 1 (1) 6.11 (0.724 – 51.58)
Periconceptional folate supplementation
 No 64 (55) 48 (42) 0.041 1.0
 Yes 52 (45) 67 (58) 0.770 (0.459 – 1.29)
Fever or flu during early pregnancy
 No 52 (46) 88 (76) <0.001 1.0
 Yes 62 (54) 28 (24) 3.19 (1.83 – 5.55) ***
Maternal smoking or secondhand smoking
 No 37 (33) 84 (74) <0.001 1.0
 Yes 74 (67) 30 (26) 3.99 (2.29 – 6.96) ***
Alcohol drinking
 No 101 (86) 113 (93) <0.001 1.0
 Yes 16 (14) 8 (7) 2.77 (1.10 – 6.95) *

Data are number (percentage). Total number may not be equal to the number of cases or controls due to missing or unknown data.

Pearson’s χ2 test, or Fisher’s exact test if cell expectation was less than 5.

*

p < 0.05,

**

p < 0.01,

***

p < 0.001 in comparison with the reference group, using binary unconditional logistic regression

It has previously been known that BMI is a potential risk factor for NTDs while periconceptional folate supplementation acts as a protective measure (Copp et al., 2013). Gao and collaborators (2013) reported that maternal obesity before pregnancy was associated with the risk of NTDs (Gao et al., 2013). Periconceptional folate supplementation has been proved to be an effective method to reduce NTD risk (Copp et al., 2013). However, the association between periconceptional folic acid supplementation and the reduced NTDs risk was weaker in overweight/obese mothers (BMI ≥ 24.0 kg/m2) than in underweight/normal weight mothers (BMI < 24.0 kg/m2) (Wang et al., 2013b). These studies concluded that maternal obesity counseling should be considered in pre-conception care. In this study, the differences of maternal smoking and drinking alcohol during the periconceptional period between the two groups indicated that life style may play an important role in fetal NTD risk in offspring. We did not found maternal occupation (famer vs. non-farmer) to associated with NTD risk. This is not consistent with a previous report, which indicated that women as farmers were at a higher risk of carrying a fetus affected with an NTD (Fear et al., 2007). Overall, most of the above characteristics had a significant relationship with either elevated or decreased fetal NTD risks and should be considered as confounders in the evaluation of the association between maternal OCP concentration and the risk of NTDs.

3.2 Serum OCP Concentration

Among the 25 measured OCPs, seven of them were detected in more than 5% of the total samples, including PeCB, HCB, α-HCH, β-HCH, γ-HCH, p,p′-DDE and p,p′-DDT. Their concentrations and detection rates along with comparisons with other previous studies are shown in Table 2. Among the measured HCH isomers, α-HCH was detected in 53% of the total 238 samples. This finding is different from other studies (Kang et al., 2008; Karami-Mohajeri and Abdollahi, 2011; Wang et al., 2013a), in which β-HCH had the highest detection rate and concentrations. This discrepancy cannot be explained with the data obtained in this study. p,p′-DDE, a metabolite of p,p′-DDT, had the second highest detection rate. Its concentration and detection rate were higher than those of p,p′-DDT and other DDT-like compounds, which is consistent with studies conducted in other countries (Ali et al., 2013; Jakszyn et al., 2009; Waliszewski et al., 2012; Zhou et al., 2013).

Table 2.

Comparison of serum OCP median concentration and detection rate above the limit of detection between this study and the previous reported studies.

Country (City or region) Sample year Gender Sample number Chemical detector * OCP median concentration and detection rate in serum (ng/g lipid)
References
PeCB HCB α-HCH β-HCH γ-HCH p, p′-DDE p, p′-DDT
China (Shanxi) 2010–2012 F GC-MS (NCI) 0 (32) 42 (92) 5.2 (53) 0 (37) 0 (20) 64 (82) 0 (5.9) This study
China (Guangzhou) 2004 F 30 GC-MS n.r. § n.r. 3.9 35 2.9 1600 120 Qu et al., 2010
China (Hongkong) 2011 F 54 GC-MS n.r. n.r. 18 (96) 221 (100) 151 (100) 224 (96) 75 (96) Wang et al., 2013a
Spain 1993–1994 F 479 GC-ECD n.r. 377 (78) n.r. n.r. 194 (87) 789 (99) 0.0 (27) Jakszyn et al., 2009
Japan (Nagano Prefecture) 2001–2005 F (Breast Cancer case) 403 GC-Isotope MS n.r. 27 (100) n.r. n.r. n.r. 360 (100) 9.3 (100) Itoh et al., 2009
2001–2005 F (Breast Cancer Control) 403 n.r. 27 (100) n.r. n.r. n.r. 370 (100) 9.9 (100)
Greece (Attika) 2007 F 61 GC-MS (EI) n.r. 23 (100) 0.02 (2) 18 (100) n.r. 268 (100) 6.3 (100) Kalantzi et al., 2011
Mexico (Veracruz) 2010 F 75 GC-ECD n.r. n.r. n.r. 2200 (57) n.r. 7800 (100)£ 2200 (51) Waliszewski et al., 2012
Pakistan (Islamabad) 2012 F (Rural) 17 GC-MS (NCI) n.r. 3.6 (100) n.r. n.r. n.r. 142 (94) 5.5 (94) Ali et al., 2013
2012 F (Urban) 17 n.r. 14 (100) n.r. n.r. n.r. 155 (100) 7.5 (71)
United Kingdom 2003 F&M 154 GC-MS (EI) n.r. 11 (70) 0 (0) n.r. 0 (0) 100 (100) 2.9 (91) Thomas et al., 2006
Romania (Iassy) 2005 F&M 142 GC-MS (NCI) n.r. 30 (99) 31 (100) 923 (100) 127 (98) 1975 (100) 93 (100) Dirtu et al., 2006
Republic of Korea (Seoul) 2006 F&M 40 GC-HRMS (EI) n.r. n.r. 0 (2.5) 49 (100) 0 (2.5) 224 (100) 19 (73) Kang et al., 2008
Italy (Western Sicily) 2009 F&M 101 GC-MS (EI) n.r. 19 4.1 4.3 1.4 175 4.4 Amodio et al., 2012

F stands for female, M for male, F&M for female and male.

Data are median (detection rate, %). The median “0” stands for “meidan is below detection limit”.

§

Data are not reported.

*

GC stands for gas chromatography, MS for mass spectrometer, NCI stands for negative chemical ionization or electron capture negative ionization, ECD for electron-capture detection, EI for electron impact ionization

Except for the HCB, the serum concentrations and detection rates of OCPs were lower than those reported in other cities like Guangzhou (Qu et al., 2010), Shanghai (Cao et al., 2011), and Hong Kong (Wang et al., 2013a), and other countries in Asia, Europe and North America (Ali et al., 2013; Amodio et al., 2012; Dirtu et al., 2006; Itoh et al., 2009; Jakszyn et al., 2009; Kalantzi et al., 2011; Kang et al., 2008; Thomas et al., 2006; Waliszewski et al., 2012) as shown in Table 2. It can be noted that the two studies conducted in Mexico and Spain (Jakszyn et al., 2009; Waliszewski et al., 2012) reported significant higher OCP concentration than our study. This higher concentrations could result from using electron-capture detection (ECD), which may cause serious false positive results (Pyle et al., 1998). The lower concentrations observed in this study may be explained by the fact that most of the subjects were recruited from a rural area with little cotton farming and lower socioeconomic development. Compared with urban population, they had less consumption of foods prone to accumulate organic contaminants, such as meat, eggs, milk, and seafood, which could add to the effect resulting from exposure to OCPs (Wang et al., 2013a; Yu et al., 2013).

3.3 Comparison of OCP Concentration between Case and Control Groups

Overall, the serum concentrations of HCB and total OCPs (ΣOCPs) of the case group were higher than those of the control group, while there were no significant differences for the other detected OCPs (α-HCH and p,p′-DDE) as shown in Table 3. For p,p′-DDE, its median concentration (64.2 ng/g lipid) was higher in the case group than that in the control group (15.7 ng/g lipid), but the difference was not statistically significant (p = 0.063). For the three subtypes of NTD cases, only the concentrations of HCB in anencephaly group were significantly higher than those in the control group. For anencephaly and spina bifida, their ΣOCP median concentration (118 and 125 ng/g lipid, respectively) was marginally higher than that of the control group (93 ng/g lipid), (p = 0.091 and 0.086, respectively). As only 6 subjects with encephalocele were recruited, this NTD subtype will not be discussed in the following sections. The ΣOCP concentrations in subgroups of potential confounders were listed in Table 1 (Appendices), including maternal occupation, age, educational level, prepregnancy BMI, periconceptional folic acid supplementation, active or secondhand smoking and drinking alcohol during the periconceptional period, and fever or flu during early pregnancy. The ΣOCP concentrations in case group were found to be higher than the control group in subgroups of maternal age between 25 – 29 years, BMI ≥ 25 kg/m2, farmer, previous birth defect history, and periconceptional folate supplementation, while for the other subgroups, no significant differences were found.

Table 3.

Concentrations (ng/g lipid) of detected OCPs with detection rate more than 50% in the serum samples of women who had pregnancies affected by NTDs (cases) and women who delivered healthy infants (controls)

OCPs Control (n£ = 121)
ΣNTDs (n = 117)
p Anencephaly (n = 44)
p Spina bifida (n = 67)
p Encephalocele (n = 6)
p
% Median (IQR) % Median (IQR) % Median (IQR) % Median (IQR) % Median (IQR)
HCB 93.4 25.0 (35.4–49.2) 91.5 42.1 (29.1–63.8)* 0.020 93.2 40.8 (29.5–62.7) * 0.048 89.6 42.5 (27.9–57.7) 0.125 100 52.1 (37.1–64.8) 0.097
α-HCH 55.4 7.54 (0.00–79.0) 51.3 5.17 (0.00–22.7) 0.658 56.8 8.84 (0.00–21.6) 0.527 44.8 0.00 (0.00–22.0) 0.804 83.3 19.7 (10.9–28.3) 0.092
p, p′-DDE 81.0 15.7 (45.4–94.6) 84.6 64.2 (27.3–130) 0.063 81.8 62.3 (24.7–157) 0.206 85.1 64.2 (27.2–127) 0.098 85.1 64.9 (39.6–70.8) 0.561
ΣOCPs§ 93.0 (54.8–170) 120 (66.1–230) * 0.035 118 (60.1–278) 0.107 125 (72.1–200) 0.110 128 (103–263) 0.215

IQR, Interquartile range.

£

Number of subjects.

Detection rate of a specific OCP in serum samples.

In comparison with the controls, Mann-Whitney U test.

*

p ≤ 0.05 in comparison with the median of controls, Mann-Whitney U test.

§

Including HCB, α-HCH, and p, p′-DDE with detection rate above 50%

3.4 Association between Serum OCPs and NTD risk

No apparent dose-response relationship between serum levels of ΣOCPs and the risk of NTDs was found for both ΣNTDs and the two major subtypes in either unadjusted or adjusted model (Table 4). In the unadjusted model, when the lowest quartile (59.9 ng/g lipid) was used as reference, a marginally significant increasing trend (p = 0.054) in the risk of NTDs of 0.826-fold (95% CI, 0.375–1.82), 1.47-fold (95% CI, 0.712–3.05), and 1.74-fold (95% CI, 0.846–3.58) were observed for women whose serum concentration of ΣOCPs were in the second, third, and forth quartiles, respectively. No consistent trend was observed in the adjusted model for anencephaly and spina bifida subtypes. The NTD risks in association with the six individual OCPs were listed in Table 2 (Appendices) and no significant elevated NTD risk was observed.

Table 4.

Risks of NTDs and its two major subtypes with the four total serum concentration (ΣOCPs) groups of the control with the corresponding number of samples (30, 30, 31, and 30)

Group£ No. of subjects Unadjusted
Adjusted
OR§ (95% CI) ptrend OR (95% CI) ptrend
ΣNTDs (n*=117)
G1 23 1.00 0.054 1.00 0.199
G2 19 0.826 (0.375–1.82) 0.451 (0.167–1.223)
G3 35 1.47 (0.712–3.05) 1.243 (0.504–3.067)
G4 40 1.74 (0.846–3.58) 1.342 (0.539–3.345)
Anencephaly (n=44)
G1 9 1.00 0.340 1.00 0.316
G2 6 0.187 (0.580–1.80) 0.328 (0.083–1.30)
G3 14 1.35 (0.519–3.53) 1.05 (0.314–3.50)
G4 15 1.27 (0.488–3.30) 1.31 (0.409–4.21)
Spina bifida (n=67)
G1 14 1.00 0.259 1.00 0.774
G2 12 0.829 (0.329–2.09) 0.401 (0.118–1.36)
G3 18 1.31 (0.556–3.10) 0.847 (0.275–2.61)
G4 23 1.42 (0.616–3.29) 0.892 (0.290–2.74)
§

Odds ratio

*

Number of subjects

£

ΣOCPs concentration groups were divided into 4 groups based on the quartiles of total OCPs of the control group, which are G1 (< 59.9), G2 (59.9 – 111), G3 (111 – 196), and G4 (> 196) ng/g lipid, respectively. ΣOCPs was including HCB, α-HCH, and p, p′-DDE

In comparison with controls; exposure was defined as above the median concentration.

Adjusted for maternal occupation, age, educational level, BMI, folic acid supplementation, active or secondhand smoking and drinking alcohol during the periconceptional period, fever or flu during early pregnancy.

ptrend is calculated by using binary logistic regression

These results were not completely consistent with our previous study using placental samples which showed a clear dose-response relationship between higher levels of total o,p’-DDT and α-HCH with the risk of NTDs (Ren et al., 2011). Since the maternal serum samples of the present study and the placental samples of our previous study (Ren et al., 2011) were not collected from the same individuals, we were unable to test whether there was a positive correlation between the OCP concentrations in the two types of biological samples, as was observed in the studies by Bergonzi et al. (2009) and Yu et al. (2013). OCPs, especially HCH and DDT, have been proved to be capable of inducing reactive oxygen species and further oxidative stress damage (Hansen, 2006). They could cause adverse biological effects and could result in reproductive and developmental damage even at low levels in the human body (Androutsopoulos et al., 2013). However, no significant elevated NTD risk associated with serum OCP residues was found in the present study.

Although more subjects (117 cases and 121 controls) were included in this study when compared with our previous one (80 cases and 50 controls) (Ren et al., 2011), the detection rate of OCPs in sera in the present study was lower than that in placental tissue in the previous study. This might limit the power to detect a significance in dose-response analysis.

4. Conclusions

Although the overall OCP concentration in serum of women who had pregnancies affected by NTDs was higher than those who delivered healthy infants, no dose-response relationship between higher levels of any individual OCP or total OCPs and the risk of total NTDs or subtype was found in either the unadjusted model or the model adjusted for confounders. Therefore, no clear association between maternal serum OCP residues and the risk of NTDs in offspring was observed in this population. As this is the first report for OCP comparison between NTD case mothers and control mothers to our knowledge, further studies with larger sample size is needed to replicate the findings in other populations and to examine whether maternal serum OCP residues is an appropriate biomarker of NTD risk in offspring.

Supplementary Material

01

Highlights.

  • The association between maternal serum OCP concentrations and NTD risk was investigated in a case-control study

  • The total OCP concentration of the NTD group was significantly higher than that of the control group

  • No dose-response relationship between higher levels of any individual OCP or total OCPs and the risk of NTDs was found

  • No clear association between maternal serum OCP residues and NTD risk was observed

Acknowledgments

Funding for this study was provided by the National Natural Science Foundation of China (Grant No. 31371523, 31071315, and 41390243) and NIH grant ES021006. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors express their great appreciation to Dr. Arantzazu Eiguren-Fernandez for her help in editing this article.

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

References

  1. Ali N, Eqani SA, Malik RN, Neels H, Covaci A. Organohalogenated contaminants (OHCs) in human serum of mothers and children from Pakistan with urban and rural residential settings. Sci Total Environ. 2013;461–462:655–662. doi: 10.1016/j.scitotenv.2013.05.044. [DOI] [PubMed] [Google Scholar]
  2. Amodio E, Turci R, Massenti MF, Di Gaudio F, Minoia C, Vitale F, Firenze A, Calamusa G. Serum concentrations of persistent organic pollutants (POPs) in the inhabitants of a Sicilian city. Chemosphere. 2012;89:970–974. doi: 10.1016/j.chemosphere.2012.06.054. [DOI] [PubMed] [Google Scholar]
  3. Androutsopoulos VP, Hernandez AF, Liesivuori J, Tsatsakis AM. A mechanistic overview of health associated effects of low levels of organochlorine and organophosphorous pesticides. Toxicology. 2013;307:89–94. doi: 10.1016/j.tox.2012.09.011. [DOI] [PubMed] [Google Scholar]
  4. Barbieri O, Ognio E, Rossi O, Astigiano S, Rossi L. Embryotoxicity of benzo(a)pyrene and some of its synthetic derivatives in Swiss mice. Cancer Res. 1986;46:94–98. [PubMed] [Google Scholar]
  5. Bergonzi R, Specchia C, Dinolfo M, Tomasi C, De Palma G, Frusca T, Apostoli P. Distribution of persistent organochlorine pollutants in maternal and foetal tissues: Data from an Italian polluted urban area. Chemosphere. 2009;76:747–754. doi: 10.1016/j.chemosphere.2009.05.026. [DOI] [PubMed] [Google Scholar]
  6. Blom HJ, Shaw GM, den Heijer M, Finnell RH. Neural tube defects and folate: case far from closed. Nat Rev Neurosci. 2006;7:724–731. doi: 10.1038/nrn1986. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Brender JD, Felkner M, Suarez L, Canfield MA, Henry JP. Maternal Pesticide Exposure and Neural Tube Defects in Mexican Americans. Ann Epidemiol. 2010;20:16–22. doi: 10.1016/j.annepidem.2009.09.011. [DOI] [PubMed] [Google Scholar]
  8. Cao LL, Yan CH, Yu XD, Ying T, Zhao L, Liu JX, Shen XM. Relationship between serum concentrations of polychlorinated biphenyls and organochlorine pesticides and dietary habits of pregnant women in Shanghai. Science of the Total Environment. 2011;409:2997–3002. doi: 10.1016/j.scitotenv.2011.04.040. [DOI] [PubMed] [Google Scholar]
  9. Castilla EE, Orioli IM, Lopez-Camelo JS, da Dutra MG, Nazer-Herrera J. Preliminary data on changes in neural tube defect prevalence rates after folic acid fortification in South America. Am J Med Genet A. 2003;123A:123–128. doi: 10.1002/ajmg.a.20230. [DOI] [PubMed] [Google Scholar]
  10. Copp AJ, Stanier P, Greene ND. Neural tube defects: recent advances, unsolved questions, and controversies. Lancet Neurol. 2013;12:799–810. doi: 10.1016/S1474-4422(13)70110-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Dirtu AC, Cernat R, Dragan D, Mocanu R, Van Grieken R, Neels H, Covaci A. Organohalogenated pollutants in human serum from Iassy, Romania and their relation with age and gender. Environ Int. 2006;32:797–803. doi: 10.1016/j.envint.2006.04.002. [DOI] [PubMed] [Google Scholar]
  12. Fear NT, Hey K, Vincent T, Murphy M. Paternal occupation and neural tube defects: a case-control study based on the Oxford Record Linkage Study register. Paediatr Perinat Epidemiol. 2007;21:163–168. doi: 10.1111/j.1365-3016.2007.00793.x. [DOI] [PubMed] [Google Scholar]
  13. Frye CA, Bo E, Calamandrei G, Calza L, Dessi-Fulgheri F, Fernandez M, Fusani L, Kah O, Kajta M, Le Page Y, Patisaul HB, Venerosi A, Wojtowicz AK, Panzica GC. Endocrine Disrupters: A Review of Some Sources, Effects, and Mechanisms of Actions on Behaviour and Neuroendocrine Systems. J Neuroendocrinol. 2012;24:144–159. doi: 10.1111/j.1365-2826.2011.02229.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Gao LJ, Wang ZP, Lu QB, Gong R, Sun XH, Zhao ZT. Maternal overweight and obesity and the risk of neural tube defects: A case-control study in China. Birth Defects Res, Part A. 2013;97:161–165. doi: 10.1002/bdra.23123. [DOI] [PubMed] [Google Scholar]
  15. Hansen JM. Oxidative stress as a mechanism of teratogenesis. Birth Defects Res C Embryo Today. 2006;78:293–307. doi: 10.1002/bdrc.20085. [DOI] [PubMed] [Google Scholar]
  16. Heusinkveld HJ, Westerink RHS. Organochlorine Insecticides Lindane and Dieldrin and Their Binary Mixture Disturb Calcium Homeostasis in Dopaminergic PC12 Cells. Environ Sci Technol. 2012;46:1842–1848. doi: 10.1021/es203303r. [DOI] [PubMed] [Google Scholar]
  17. Itoh H, Iwasaki M, Hanaoka T, Kasuga Y, Yokoyama S, Onuma H, Nishimura H, Kusama R, Tsugane S. Serum organochlorines and breast cancer risk in Japanese women: a case-control study. Cancer Causes Control. 2009;20:567–580. doi: 10.1007/s10552-008-9265-z. [DOI] [PubMed] [Google Scholar]
  18. Jakszyn P, Goni F, Etxeandia A, Vives A, Millan E, Lopez R, Amiano P, Ardanaz E, Barricarte A, Chirlaque MD, Dorronsoro M, Larranaga N, Martinez C, Navarro C, Rodriguez L, Sanchez MJ, Tormo MJ, Gonzalez CA, Agudo A. Serum levels of organochlorine pesticides in healthy adults from five regions of Spain. Chemosphere. 2009;76:1518–1524. doi: 10.1016/j.chemosphere.2009.05.048. [DOI] [PubMed] [Google Scholar]
  19. Kalantzi OI, Geens T, Covaci A, Siskos PA. Distribution of polybrominated diphenyl ethers (PBDEs) and other persistent organic pollutants in human serum from Greece. Environ Int. 2011;37:349–353. doi: 10.1016/j.envint.2010.10.005. [DOI] [PubMed] [Google Scholar]
  20. Kang JH, Park H, Chang YS, Choi JW. Distribution of organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs) in human serum from urban areas in Korea. Chemosphere. 2008;73:1625–1631. doi: 10.1016/j.chemosphere.2008.07.087. [DOI] [PubMed] [Google Scholar]
  21. Karami-Mohajeri S, Abdollahi M. Toxic influence of organophosphate, carbamate, and organochlorine pesticides on cellular metabolism of lipids, proteins, and carbohydrates: A systematic review. Hum Exp Toxicol. 2011;30:1119–1140. doi: 10.1177/0960327110388959. [DOI] [PubMed] [Google Scholar]
  22. Langlois PH, Hoyt AT, Lupo PJ, Lawson CC, Waters MA, Desrosiers TA, Shaw GM, Romitti PA, Lammer EJ. Maternal occupational exposure to polycyclic aromatic hydrocarbons and risk of neural tube defect-affected pregnancies. Birth Defects Res A Clin Mol Teratol. 2012;94:693–700. doi: 10.1002/bdra.23045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Li YF, Macdonald RW. Sources and pathways of selected organochlorine pesticides to the Arctic and the effect of pathway divergence on HCH trends in biota: a review. Sci Total Environ. 2005;342:87–106. doi: 10.1016/j.scitotenv.2004.12.027. [DOI] [PubMed] [Google Scholar]
  24. Li ZW, Ren AG, Zhang L, Ye RW, Li S, Zheng J, Hong S, Wang T. Extremely high prevalence of neural tube defects in a 4-county area in Shanxi Province, China. Birth Defects Res A Clin Mol Teratol. 2006;76:237–240. doi: 10.1002/bdra.20248. [DOI] [PubMed] [Google Scholar]
  25. Li ZW, Zhang L, Ye RW, Liu JM, Pei LJ, Zheng XY, Ren AG. Maternal periconceptional consumption of pickled vegetables and risk of neural tube defects in offspring. Chin Med J (Engl) 2011;124:1629–1633. [PubMed] [Google Scholar]
  26. Longnecker MP, Klebanoff MA, Gladen BC, Berendes HW. Serial levels of serum organochlorines during pregnancy and postpartum. Archives of Environmental Health. 1999;54:110–114. doi: 10.1080/00039899909602244. [DOI] [PubMed] [Google Scholar]
  27. Michalakis M, Tzatzarakis MN, Kovatsi L, Alegakis AK, Tsakalof AK, Heretis I, Tsatsakis A. Hypospadias in offspring is associated with chronic exposure of parents to organophosphate and organochlorine pesticides. Toxicol Lett. 2013 doi: 10.1016/j.toxlet.2013.10.015. (In press)doi:10.1016n.r.j.toxlet.2013.10.015. [DOI] [PubMed] [Google Scholar]
  28. Nakata H, Kawazoe M, Arizono K, Abe S, Kitano T, Shimada H, Li W, Ding X. Organochlorine pesticides and polychlorinated biphenyl residues in foodstuffs and human tissues from China: Status of contamination, historical trend, and human dietary exposure. Arch Environ Contam Toxicol. 2002;43:473–480. doi: 10.1007/s00244-002-1254-8. [DOI] [PubMed] [Google Scholar]
  29. Noren K, Weistrand C, Karpe F. Distribution of PCB congeners, DDE, hexachlorobenzene, and methylsulfonyl metabolites of PCB and DDE among various fractions of human blood plasma. Arch Environ Contam Toxicol. 1999;37:408–414. doi: 10.1007/s002449900532. [DOI] [PubMed] [Google Scholar]
  30. Pyle SM, Marcus AB, Robertson GL. ECD-dual-column pesticide method verification by ion trap GC/MS and GC/MS/MS. Environ Sci Technol. 1998;32:3213–3217. [Google Scholar]
  31. Qu W, Suri RP, Bi X, Sheng G, Fu J. Exposure of young mothers and newborns to organochlorine pesticides (OCPs) in Guangzhou, China. Sci Total Environ. 2010;408:3133–3138. doi: 10.1016/j.scitotenv.2010.04.023. [DOI] [PubMed] [Google Scholar]
  32. Ren A, Qiu X, Jin L, Ma J, Li Z, Zhang L, Zhu H, Finnell RH, Zhu T. Association of selected persistent organic pollutants in the placenta with the risk of neural tube defects. Proc Natl Acad Sci USA. 2011;108:12770–12775. doi: 10.1073/pnas.1105209108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Rylander L, Nilsson-Ehle P, Hagmar L. A simplified precise method for adjusting serum levels of persistent organohalogen pollutants to total serum lipids. Chemosphere. 2006;62:333–336. doi: 10.1016/j.chemosphere.2005.04.107. [DOI] [PubMed] [Google Scholar]
  34. Shaw GM, Wasserman CR, O’Malley CD, Nelson V, Jackson RJ. Maternal pesticide exposure from multiple sources and selected congenital anomalies. Epidemiology. 1999;10:60–66. [PubMed] [Google Scholar]
  35. Thomas GO, Wilkinson M, Hodson S, Jones KC. Organohalogen chemicals in human blood from the United Kingdom. Environ Pollut. 2006;141:30–41. doi: 10.1016/j.envpol.2005.08.027. [DOI] [PubMed] [Google Scholar]
  36. Tsatsakis AM, Tzatzarakis MN, Tutudaki M, Babatsikou F, Alegakis AK, Koutis C. Assessment of levels of organochlorine pesticides and their metabolites in the hair of a Greek rural human population. Hum Exp Toxicol. 2008;27(12):933–40. doi: 10.1177/0960327108102047. [DOI] [PubMed] [Google Scholar]
  37. Waliszewski SM, Caba M, Herrero-Mercado M, Saldariaga-Norena H, Meza E, Zepeda R, Martinez-Valenzuela C, Gomez Arroyo S, Villalobos Pietrini R. Organochlorine pesticide residue levels in blood serum of inhabitants from Veracruz, Mexico. Environ Monit Assess. 2012;184:5613–5621. doi: 10.1007/s10661-011-2366-2. [DOI] [PubMed] [Google Scholar]
  38. Wallingford JB, Niswander LA, Shaw GM, Finnell RH. The continuing challenge of understanding, preventing, and treating neural tube defects. Science. 2013;339:1222002. doi: 10.1126/science.1222002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Wang B, Xue M, Lv Y, Yang Y, Zhong J, Su Y, Wang R, Shen G, Wang X, Tao S. Cell absorption induced desorption of hydrophobic organic contaminants from digested soil residue. Chemosphere. 2011;83:1461–1466. doi: 10.1016/j.chemosphere.2011.03.008. [DOI] [PubMed] [Google Scholar]
  40. Wang HS, Chen ZJ, Wei W, Man YB, Giesy JP, Du J, Zhang G, Wong CK, Wong MH. Concentrations of organochlorine pesticides (OCPs) in human blood plasma from Hong Kong: markers of exposure and sources from fish. Environ Int. 2013a;54:18–25. doi: 10.1016/j.envint.2013.01.003. [DOI] [PubMed] [Google Scholar]
  41. Wang M, Wang ZP, Gao LJ, Gong R, Sun XH, Zhao ZT. Maternal body mass index and the association between folic acid supplements and neural tube defects. Acta Paediatrica. 2013b;102:908–913. doi: 10.1111/apa.12313. [DOI] [PubMed] [Google Scholar]
  42. Yu Y, Li C, Zhang X, Pang Y, Zhang S, Fu J. Route-specific daily uptake of organochlorine pesticides in food, dust, and air by Shanghai residents, China. Environ Int. 2012;50:31–37. doi: 10.1016/j.envint.2012.09.007. [DOI] [PubMed] [Google Scholar]
  43. Yu YX, Wang B, Wang XL, Wang R, Wang WT, Shen GF, Shen HZ, Li W, Wong MH, Liu WX, Tao S. Hexachlorocyclohexanes (HCHs) in placenta and umbilical cord blood and dietary intake for women in Beijing, China. Environ Pollut. 2013;179:75–80. doi: 10.1016/j.envpol.2013.03.056. [DOI] [PubMed] [Google Scholar]
  44. Zhou Q, Wang J, Meng B, Cheng J, Lin G, Chen J, Zheng D, Yu Y. Distribution and sources of organochlorine pesticides in agricultural soils from central China. Ecotoxicol Environ Saf. 2013;93:163–170. doi: 10.1016/j.ecoenv.2013.03.029. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

01

RESOURCES