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Associations between metal concentrations in whole blood and placenta previa and placenta accreta: the Japan Environment and Children’s Study (JECS)

Abstract

Background

Placenta previa and placenta accreta associate with high morbidity and mortality for both mothers and fetus. Metal exposure may have relationships with placenta previa and placenta accreta. This study analyzed the associations between maternal metal (cadmium [Cd], lead [Pb], mercury [Hg], selenium [Se], and manganese [Mn]) concentrations and placenta previa and placenta accreta.

Methods

We recruited 17,414 women with singleton pregnancies. Data from a self-administered questionnaire regarding the first trimester and medical records after delivery were analyzed. Maternal blood samples were collected to measure metal concentrations. The subjects were classified into four quartiles (Q1, Q2, Q3, and Q4) according to metal concentrations.

Results

The odds ratio for placenta previa was significantly higher among subjects with Q4 Cd than those with Q1 Cd. The odds ratio for placenta previa was significantly higher for subjects with Q2 Pb than those with Q1 Pb.

Conclusion

Participants with placenta previa had higher Cd concentrations. However, this study was cross-sectional and lacked important information related to Cd concentration, such as detailed smoking habits and sources of Cd intake. In addition, the subjects in this study comprised ordinary pregnant Japanese women, and it was impossible to observe the relationship between a wide range of Cd exposure and placenta previa. Therefore, epidemiological and experimental studies are warranted to verify the relationship between Cd exposure and pregnancy abnormalities.

Introduction

Placenta previa is a condition in which the placenta is attached to the lower uterine segment and completely or partially covers the internal cervix [1]. When chorionic villi abnormally invade the myometrium, placenta accreta occurs [2]. Currently, reported rates of placenta previa are between 0.3 and 0.8% [3, 4]. The placenta accreta rate varies because of differences in subjects; however, it is 0.4% in Japan [5, 6]. Placenta previa and placenta accreta are related: 9.3% of women with placenta previa have placenta accreta [2]. Both cases present risks to the mother and fetus. For the mother, affected pregnancies are associated with excessive hemorrhaging, damage to surrounding organs, and death. The fetus may experience preterm delivery, may be small for gestational age, or may have congenital defects [7, 8].

Successful implantation requires the following complex mechanisms: the fertilized egg/blastocyst migrates from the oviduct to the uterine cavity and orients in appropriate regions of the uterus (migration); the trophoblast attaches to the uterine epithelium (attachment); the trophoblast attaches firmly to the uterine epithelium (adhesion); the trophoblast penetrates the uterine epithelium (penetration); and the trophoblast invades the uterine endometrium (invasion) [9,10,11]. Placenta previa and placenta accreta share overlapping risk factors, many of which are associated with disruption of the normal uterine endometrium. These risks include previous cesarean deliveries, manual removal of the placenta, or other gynecological surgeries that result in scarring and are likely to lead to inappropriate attachment during implantation [12, 13].

Environmental exposure to smoking and air pollution has also been reported as a risk factor for placenta previa and placenta accreta [14, 15]. Smoking influences the maternal immune response and inflammatory response during pregnancy [16, 17]. Inflammation leads to female genital tract damage, including damage to the endometrial and myometrial epithelium [18]. Therefore, smoking may induce inappropriate attachment and lead to placenta previa and placenta accreta. Another important factor during the implantation process is angiogenesis [19, 20]. Placental vascularization has been found to be significantly decreased in smoke-exposed placentas [21]. Cigarettes contain many harmful substances, including heavy metals [22], and current and former smoking has been related to high cadmium (Cd) and lead (Pb) levels in uterus tissues [23]. Exposure to heavy metals, especially Cd and Pb, impacts the female reproductive system [24]. Furthermore, Cd, Pb, and mercury (Hg) might affect endometrial angiogenesis [25, 26]. However, no studies have examined the relationship between metal exposure and placenta previa and placenta accrete directly.

Selenium (Se) and manganese (Mn) are essential elements which have been related to blastocyst quality and implantation [27,28,29]. However, there is no research to investigate the relationship between these metals and placenta previa and placenta accrete.

Therefore, the purpose of this study was to examine the relationship between metal exposure and placental previa and placenta accreta using the Japan Environment and Children’s Study (JECS), which is a large cohort study.

Methods

Study subjects

During this study, our target subjects were pregnant women participating in the JECS. They were recruited during early pregnancy at obstetric facilities and/or local government offices [30] in 15 regions across a wide geographical area in Japan between January 2011 and March 2014.

Of the 17,998 women whose metal concentrations were measured, 17,414 had singleton pregnancies. After excluding women with missing data (N = 1395), 16,019 women were selected for analysis (Fig. 1).

Fig. 1
figure 1

Flow chart of the study subjects. Of the samples collected from the 97,979 women during mid to late pregnancy, 20,000 whole blood samples were randomly selected. To measure metal concentrations, 17,998 blood samples of women who met the QC criteria were used. Of these 17,998, 17,414 who delivered singleton pregnancies were selected. After excluding women with missing data (N = 1395), the final study population comprised of 16,019 women. Cd, cadmium; Pb, lead; Hg, mercury; Se, selenium; Mn, manganese; QC, quality control

Questionnaires

Self-administered questionnaires were provided at prenatal examinations or by mail to the women twice during pregnancy (during the first trimester [T1] and the second/third trimester [T2]). Data from the questionnaire provided during T1 were used in this study. Medical record transcription was performed by physicians, midwives/nurses, or research coordinators after delivery [30,31,32]. Data for those with and without placenta previa and placenta accreta were obtained from medical records. The present study was based on the jecs-ag-ai-20,160,424 data set, which was released in June 2016 and revised in October 2016.

Blood collection

Metal concentrations were measured in T2 blood samples comprising 33 mL of blood collected from each pregnant mother. The present study was based on the jecs-mtl-ai-20,170,403 data set, which was released in April 2017.

Measurements of metal concentrations in blood

We measured the metal concentrations in the blood according to our previous report [33]. Briefly, blood samples with sodium ethylenediaminetetraacetic acid (EDTA) were transferred to a central laboratory and stored at − 80 °C before use. A standard solution comprising all target elements except Hg was prepared in 0.14 M nitric acid. An Hg standard solution was produced using a solution made from 0.056 M nitric acid, 0.5% w/v EDTA, and 1% v/v tetramethylammonium hydroxide (TMAH). The final concentrations of Hg, Pb, Cd, Mn, and Se in the standard solution were 200, 200, 20, 600, and 2000 ng/g, respectively. An internal standard (yttrium, indium, and thallium at 250 ng/g) was prepared using 0.14 M nitric acid. Blood samples (200 μL) were diluted (1:19) with the dilution solution (2% v/v butan-1-ol, 0.1% TMAH, 0.05% w/v polyoxyethlene octylphenyl ether, and 0.05% w/v H4EDTA) [10] and vortex-mixed before the inductively coupled plasma mass spectrometry (ICP-MS) analysis.

ICP-MS measurements of metals in the blood were performed using Agilent 7700 ICP-MS (Agilent Technologies, Tokyo, Japan). Method detection limits for each analyte were calculated according to the method described previously [34]. The intensity of Pb isotypes was the summation of that of 206Pb, 207Pb, and 208Pb. To correct the spectral overlap from molybdenum oxide (95Mo16O), the intensity of 111Cd was calculated using the following equation:

$$ \left[\mathrm{Cd}\right]=\left[m/z\ 111\ \mathrm{intensity}\right]-\left[m/z\ 95\ \mathrm{intensity}\right]\times \left[95\mathrm{Mo}16\mathrm{O}\ \mathrm{generation}\ \mathrm{rate}\right] $$

The 95Mo16O generation rate was derived from the following equation:

$$ \left[95\mathrm{Mo}16\mathrm{O}\ \mathrm{generation}\ \mathrm{rate}\right]=\left[\mathrm{the}\ \mathrm{intensity}\ \mathrm{of}\ m/z\ 111\ \mathrm{when}\ 100\;\mathrm{ppb}\ 95\mathrm{Mo}\ \mathrm{standard}\ \mathrm{solution}\ \mathrm{was}\ \mathrm{analyzed}\right]/\left[\mathrm{the}\ \mathrm{intensity}\ \mathrm{of}\ m/z\ 96\ \mathrm{when}\ 100\;\mathrm{ppb}\ 95\mathrm{Mo}\ \mathrm{standard}\ \mathrm{solution}\ \mathrm{was}\ \mathrm{analyzed}\right] $$

Statistical methods

Two-group comparisons were performed using the Mann-Whitney U test and multivariable logistic regression analyses. The p values of the multivariable logistic regression analysis were calculated after adjusting for age, smoking, smoking habits of the partner, drinking habits, gravidity, parity, number of cesarean deliveries, and geographic region [35, 36]. Placenta previa was added as a covariate when comparisons were performed with or without placenta accreta. Subjects were divided equally into quartiles depending on individual metal concentrations (first quartile [Q1], second quartile [Q2], third quartile [Q3], fourth quartile [Q4]); these quartiles were used in the multivariable logistic regression analysis and trend test.

All analyses were performed using Stata version 14 (Stata Corp., College Station, TX, USA), and statistical significance was assumed when p < 0.05 (two-sided).

Results

Table 1 shows characteristics of the study population. The rates of placenta previa and placenta accreta were 0.5% and 0.2%, respectively, among subjects. Four women had placenta previa and placenta accreta.

Table 1 Study population characteristics

Table 2 shows the distribution of metal concentrations by smoking habits. Cd and Pb concentrations of current smokers were high in our study (Cd; p < 0.001, Pb; p < 0.001 by analysis of variance [ANOVA]). In contrast, Hg and Mn concentrations of current smokers were low in our study (Hg; p < 0.001, Mn; p < 0.001 by ANOVA).

Table 2 The distribution of metal concentrations by smoking habits

Figure 2 shows the relationship between metal concentrations and placenta previa. There was a significant difference in Cd concentrations for the two placenta previa groups (median [ng/g]: without, 0.66; with, 0.79; P = 0.004). There were no significant differences between other metals and placenta previa.

Fig. 2
figure 2

Relationships between metal concentrations in the blood and placenta previa. The relationships between metal concentrations in the second/third trimester (T2) blood and placenta previa are shown. A box plot displays a box bordered at the 25th and 75th percentiles of the variable on the y-axis with a median line at the 50th percentile of each metal concentration. p values were calculated using the Mann-Whitney U test. a Relationship between Cd concentration and placenta previa. b Relationship between Pb concentration and placenta previa. c Relationship between Hg concentration and placenta previa. d Relationship between Se concentration and placenta previa. e Relationship between Mn concentration and placenta previa. Cd, cadmium; Pb, lead; Hg, mercury; Se, selenium; Mn, manganese

Figure 3 shows the relationship between metal concentrations and placenta accreta. There were no significant differences between all metals and placenta accreta.

Fig. 3
figure 3

Relationships between metal concentrations in the blood and placenta accreta. The relationships between metal concentrations in the second/third trimester (T2) blood and placenta accreta are shown. A box plot displays a box bordered at the 25th and 75th percentiles of the variable on the y-axis with a median line at the 50th percentile of each metal concentration. p values were calculated using the Mann-Whitney U test. a Relationship between Cd concentration and placenta accreta. b Relationship between Pb concentration and placenta accreta. c Relationship between Hg concentration and placenta accreta. d Relationship between Se concentration and placenta accreta. e Relationship between Mn concentration and placenta accreta. Cd, cadmium; Pb, lead; Hg, mercury; Se, selenium; Mn, manganese

To further assess the association between levels of metal concentrations and placenta previa and placenta accreta, we performed multivariable logistic regression analyses by using the quartile variables of metal concentrations. The odds ratio (OR) for placenta previa was significantly higher among subjects with Q4 Cd than those with Q1 Cd (OR, 2.06; 95% confidence interval [CI], 1.07, 3.98; p = 0.031). Further, the OR for placenta previa was significantly higher among subjects with Q2 Pb than those with Q1 Pb (OR, 2.59; 95% CI, 1.40, 4.80; p = 0.003). There was a significant relationship between placenta previa and Pb concentrations (P for trend = 0.007). There was no significant relationship between placenta accreta and metal concentrations (Table 3).

Table 3 Results of multivariable analysis regarding the relationship between quartile concentrations of metals, placenta previa, and placenta accreta

Discussion

Two significant results were obtained during this research. First, the group with placenta previa had higher Cd concentrations than the group without placenta previa. In addition, subjects with Q4 Cd were at higher OR for placenta previa than those with Q1 Cd. Second, subjects with Q2 Pb were at significantly higher OR for placenta previa than those with Q1 Pb.

Cd and Pb have several exposure sources, such as food and soil [37, 38]. Especially smoking is a major source of Cd and Pb [39]. Other reports have described the relationship between smoking and placenta previa [14, 40]. Indeed, the Cd and Pb concentrations of smokers were high in our study. Therefore, tobacco acts as one of the definite sources of Cd and Pb exposure. However, we categorized the smoking habits for the two groups—never smokers or former/current smokers—and we performed multivariable logistic regression analyses between metal concentrations and placenta previa. In the group of never smokers, the OR of placenta previa was higher among subjects with Q2–Q4 Cd and Pb than those with Q1 (Additional file 1: Table S1). These results show the same trend as seen in Table 3, which involved analysis without dividing the groups into never smokers and former/current smokers. Therefore, the possibility that Cd and Pb are themselves related to placenta previa cannot be discounted.

The median Cd concentration in our study was 0.66 ng/g, which was lower than those reported previously in Japan [41, 42] and low compared to those of residents living in Cd-polluted areas [43]. Regarding Cd, in recent years, it has been reported that exposure to low-dose Cd affects the health of those in non-polluted areas and non-smokers [44]. Therefore, further epidemiological studies and experimental studies involving cell lines and animals are warranted to clarify the relationship between placenta previa and various dose Cd exposure.

The OR for placenta previa was significantly higher among subjects with Q2 Pb than those with Q1 Pb. Women with Q3 Pb group and Q4 Pb group did not demonstrate a significant relationship; however, the OR for placenta previa was higher in those in the Q1 Pb group. It is not clear why Q2 Pb had the highest OR. Therefore, although not in a dose-dependent manner, it cannot be denied that Pb exposure may have some effect on the placenta previa.

Our study has several limitations. First, the source of exposure to Cd in this study was unknown. Smoking is one of the sources of exposure to Cd; however, we had no information regarding the number of cigarettes per day or when subjects quit smoking. Therefore, we could not accurately determine the influence of Cd exposure attributable to smoking. In addition to smoking, there are various other sources of Cd. Among all food sources, rice was the most significant contributor of Cd, followed by vegetables, seaweed, seafood, and millet [45]. Therefore, Cd is absorbed into the human body via these foods. The food intake of some individuals in Japan is regionally dependent. For example, residents in the area along the sea coast have a tendency to eat more seafood, such as shellfish, squid, and crab, which contain much Cd [46, 47]. Therefore, it is necessary to investigate the relationships between the source of Cd exposure, intake amount, blood concentrations, and placenta previa, and to consider the regional characteristics of the food consumed. Second, this study only investigated the relationship between placenta previa and low-dose Cd exposure. We could not clarify which dose of Cd (low or high) had the most influence on placenta previa. Therefore, in the future, it will be important to compare high Cd-polluted areas and low-Cd-polluted areas and high Cd intake groups and low-Cd intake groups. Additional experiments are needed to uncover direct relationships between Cd and placenta previa and/or the mechanism by which Cd can affect placental formation and development. Third, metal concentrations in the placental tissue were not measured in the JECS study. In the future, studies should aim to measure the concentrations of the metal in the placental tissue and to investigate the relationship between these concentrations and placental abnormalities. These studies should help clarify the relationship between metal exposure and placental abnormalities. Fourth, this study was a cross-sectional study using JECS data. Therefore, the causal relationship between Cd exposure and placenta previa could not be considered using only this study. Iron deficiency during pregnancy leads to increased Cd absorption and burden on the body [48]. However, it is unknown whether the increase in Cd absorption caused by iron deficiency affects the onset of placenta previa. To clarify the causal relationship between iron deficiency, Cd absorption, and placenta previa, it is necessary to measure Cd, iron, and ferritin concentrations in the blood throughout pregnancy, especially during the first trimester, which is an important time for normal implantation and placentation [3]. Dietary habits and nutritional status during pregnancy may be related to pregnancy abnormalities [49, 50]; therefore, it is also important to monitor the diet during pregnancy. Furthermore, the JECS study was a cohort study; therefore, it is important to link the relationship between maternal metal exposure, pregnancy abnormalities, and children’s health in the future.

Conclusion

The group with placenta previa had higher whole blood concentrations of Cd than did the group without placenta previa. However, this study was cross-sectional and did not aim at Cd exposure and its health effects specifically, resulting in a lack of important information regarding Cd concentration, such as detailed smoking habits and sources of Cd intake. In addition, this study was conducted on ordinary Japanese pregnant women, and it was impossible to observe the relationship between a wide range of Cd exposure and placenta previa. Placenta previa involves the risk of excessive hemorrhaging, damage to surrounding organs, and death for the mother. In addition, it can cause preterm birth, small for the gestational age status for the fetus, and congenital defects in the fetus. To prevent placenta previa, maintain the mother’s health, and protect the health of the fetus, epidemiological and experimental studies are warranted to verify the relationship between Cd exposure and pregnancy abnormalities.

Availability of data and materials

The data used to derive our conclusions are unsuitable for public deposition due to ethical restrictions and specific legal framework in Japan. It is prohibited by the Act on the Protection of Personal Information (act no. 57 of 30 May 2003, amended on 9 September 2015) to publicly deposit data containing personal information. The Ethical Guidelines for Epidemiological Research enforced by the Japan Ministry of Education, Culture, Sports, Science and Technology and the Ministry of Health, Labor and Welfare also restricts the open sharing of the epidemiologic data. All inquiries about access to data should be sent to jecs-en@nies.go.jp. The person responsible for handling inquiries sent to this e-mail address is Dr. Shoji F. Nakayama, JECS Programme Office, National Institute for Environmental Studies.

Abbreviations

Cd:

Cadmium

CI:

Confidence interval

EDTA:

Ethylenediaminetetraacetic acid

Hg:

Mercury

ICP-MS:

Inductively coupled plasma mass spectrometry

Mn:

Manganese

OR:

Odds ratio

Pb:

Lead

Q1:

First quartile

Q2:

Second quartile

Q3:

Third quartile

Q4:

Fourth quartile

QC:

Quality control

Se:

Selenium

T1:

The first trimester

T2:

The second/third trimester

TMAH:

Tetramethylammonium hydroxide

References

  1. Lee HJ, Lee YJ, Ahn EH, Kim HC, Jung SH, Chang SW, et al. Risk factors for massive postpartum bleeding in pregnancies in which incomplete placenta previa are located on the posterior uterine wall. Obstet Gynecol Sci. 2017;60(6):520–6.

    Article  PubMed Central  PubMed  Google Scholar 

  2. Comstock CH. Antenatal diagnosis of placenta accreta: a review. Ultrasound Obstet Gynecol. 2005;26(1):89–96.

    Article  CAS  PubMed  Google Scholar 

  3. Wehrum MJ, Buhimschi IA, Salafia C, Thung S, Bahtiyar MO, Werner EF, et al. Accreta complicating complete placenta previa is characterized by reduced systemic levels of vascular endothelial growth factor and by epithelial-to-mesenchymal transition of the invasive trophoblast. Am J Obstet Gynecol. 2011;204(5):411.e1–e11.

    Article  Google Scholar 

  4. Sumigama S, Itakura A, Ota T, Okada M, Kotani T, Hayakawa H, et al. Placenta previa increta/percreta in Japan: a retrospective study of ultrasound findings, management and clinical course. J Obstet Gynaecol Res. 2007;33(5):606–11.

    Article  PubMed  Google Scholar 

  5. Miller DA, Chollet JA, Goodwin TM. Clinical risk factors for placenta previa-placenta accreta. Am J Obstet Gynecol. 1997;177(1):210–4.

    Article  CAS  PubMed  Google Scholar 

  6. Okai T, Saito S, Kawarabayashi T, Takeda S, Hiramatsu Y, Minakami H. Perinatal committee. Acta Obstet Gynaecol Jpn. 2009;61(7):1543–67.

    Google Scholar 

  7. Usta IM, Hobeika EM, Musa AA, Gabriel GE, Nassar AH. Placenta previa-accreta: risk factors and complications. Am J Obstet Gynecol. 2005;193(3 Pt 2):1045–9.

    Article  PubMed  Google Scholar 

  8. Ogawa K, Urayama KY, Tanigaki S, Sago H, Sato S, Saito S, et al. Association between very advanced maternal age and adverse pregnancy outcomes: a cross sectional Japanese study. BMC Pregnancy Childbirth. 2017;17(1):349.

    Article  PubMed Central  PubMed  Google Scholar 

  9. Kimber SJ, Spanswick C. Blastocyst implantation: the adhesion cascade. Semin Cell Dev Biol. 2000;11(2):77–92.

    Article  CAS  PubMed  Google Scholar 

  10. Uchida H, Maruyama T, Masuda H, Uchida S, Miki F, Hihara H, et al. How to create an embryo penetration route. Am J Reprod Immunol. 2016;75(3):326–32.

    Article  PubMed  Google Scholar 

  11. Imakawa K, Bai R, Fujiwara H, Ideta A, Aoyagi Y, Kusama K. Continuous model of conceptus implantation to the maternal endometrium. J Endocrinol. 2017;233(1):R53–r65.

    Article  CAS  PubMed  Google Scholar 

  12. Marshall NE, Fu R, Guise JM. Impact of multiple cesarean deliveries on maternal morbidity: a systematic review. Am J Obstet Gynecol. 2011;205(3):262.e1–8.

    Article  Google Scholar 

  13. Faiz AS, Ananth CV. Etiology and risk factors for placenta previa: an overview and meta-analysis of observational studies. J Matern Fetal Neonatal Med. 2003;13(3):175–90.

    Article  CAS  PubMed  Google Scholar 

  14. Shobeiri F, Jenabi E. Smoking and placenta previa: a meta-analysis. J Matern Fetal Neonatal Med. 2017;30(24):2985–90.

    Article  PubMed  Google Scholar 

  15. Michikawa T, Morokuma S, Yamazaki S, Fukushima K, Kato K, Nitta H. Exposure to air pollutants during the early weeks of pregnancy, and placenta praevia and placenta accreta in the western part of Japan. Environ Int. 2016;92-93:464–70.

    Article  CAS  PubMed  Google Scholar 

  16. Prins JR, Hylkema MN, Erwich JJ, Huitema S, Dekkema GJ, Dijkstra FE, et al. Smoking during pregnancy influences the maternal immune response in mice and humans. Am J Obstet Gynecol. 2012;207(1):76.e1–14.

    Article  CAS  Google Scholar 

  17. Simhan HN, Caritis SN, Hillier SL, Krohn MA. Cervical anti-inflammatory cytokine concentrations among first-trimester pregnant smokers. Am J Obstet Gynecol. 2005;193(6):1999–2003.

    Article  CAS  PubMed  Google Scholar 

  18. Sheldon IM, Owens SE, Turner ML. Innate immunity and the sensing of infection, damage and danger in the female genital tract. J Reprod Immunol. 2017;119:67–73.

    Article  CAS  PubMed  Google Scholar 

  19. Chen X, Man GCW, Liu Y, Wu F, Huang J, Li TC, et al. Physiological and pathological angiogenesis in endometrium at the time of embryo implantation. Am J Reprod Immunol. 2017;78:e12693.

    Article  Google Scholar 

  20. Matsumoto H, Sato E. Uterine angiogenesis in mice uterine angiogenesis during implantation and decidualization in mice. Reprod Med Biol. 2006;5:81–6.

    CAS  PubMed Central  PubMed  Google Scholar 

  21. Chen ZY, Yao Y. A synergistic negative effect of gestational smoke-exposure and small litter size on rat placental efficiency, vascularisation and angiogenic factors mRNA expression. PLoS One. 2017;12(7):e0181348.

    Article  PubMed Central  PubMed  Google Scholar 

  22. Rogers JM. Tobacco and pregnancy: overview of exposures and effects. Birth Defects Res C Embryo Today. 2008;84(1):1–15.

    Article  CAS  PubMed  Google Scholar 

  23. Rzymski P, Niedzielski P, Rzymski P, Tomczyk K, Kozak L, Poniedzialek B. Metal accumulation in the human uterus varies by pathology and smoking status. Fertil Steril. 2016;105(6):1511–8.e3.

    Article  CAS  PubMed  Google Scholar 

  24. Rzymski P, Tomczyk K, Rzymski P, Poniedzialek B, Opala T, Wilczak M. Impact of heavy metals on the female reproductive system. Ann Agric Environ Med. 2015;22(2):259–64.

    Article  CAS  PubMed  Google Scholar 

  25. Helmestam M, Stavreus-Evers A, Olovsson M. Cadmium chloride alters mRNA levels of angiogenesis related genes in primary human endometrial endothelial cells grown in vitro. Reprod Toxicol. 2010;30(3):370–6.

    Article  CAS  PubMed  Google Scholar 

  26. Saghiri MA, Orangi J, Asatourian A, Sorenson CM, Sheibani N. Functional role of inorganic trace elements in angiogenesis part III: (Ti, Li, Ce, As, Hg, Va, Nb and Pb). Crit Rev Oncol Hematol. 2016;98:290–301.

    Article  PubMed  Google Scholar 

  27. Mamon MAC, Ramos GB. Maternal selenium-supplementation at various stages of periconception period: influence on murine blastocyst morphology and implantation status. J Anim Sci Technol. 2017;59:7.

    Article  PubMed Central  PubMed  Google Scholar 

  28. Anchordoquy JP, Anchordoquy JM, Sirini MA, Testa JA, Peral-Garcia P, Furnus CC. The importance of manganese in the cytoplasmic maturation of cattle oocytes: blastocyst production improvement regardless of cumulus cells presence during in vitro maturation. Zygote. 2016;24(1):139–48.

    Article  CAS  PubMed  Google Scholar 

  29. Church SL, Farmer DR, Nelson DM. Induction of manganese superoxide dismutase in cultured human trophoblast during in vitro differentiation. Dev Biol. 1992;149(1):177–84.

    Article  CAS  PubMed  Google Scholar 

  30. Kawamoto T, Nitta H, Murata K, Toda E, Tsukamoto N, Hasegawa M, et al. Rationale and study design of the Japan environment and children’s study (JECS). BMC Public Health. 2014;14:25.

    Article  PubMed Central  PubMed  Google Scholar 

  31. Michikawa T, Nitta H, Nakayama SF, Ono M, Yonemoto J, Tamura K, et al. The Japan Environment and Children’s Study (JECS): a preliminary report on selected characteristics of approximately 10 000 pregnant women recruited during the first year of the study. J Epidemiol. 2015;25(6):452–8.

    Article  PubMed  Google Scholar 

  32. Michikawa T, Nitta H, Nakayama SF, Yamazaki S, Isobe T, Tamura K, et al. Baseline profile of participants in the Japan environment and Children's study (JECS). J Epidemiol. 2018;28(2):99–104.

    Article  PubMed Central  PubMed  Google Scholar 

  33. Tsuji M, Shibata E, Morokuma S, Tanaka R, Senju A, Araki S, et al. The association between whole blood concentrations of heavy metals in pregnant women and premature births: the Japan Environment and Children’s Study (JECS). Environ Res. 2018;166:562–9.

    Article  CAS  PubMed  Google Scholar 

  34. Currie LA. Detection and quantification limits: origins and historical overview. Anal Chim Acta. 1999;391:127–34.

    Article  CAS  Google Scholar 

  35. Hubinont C, Mhallem M, Baldin P, Debieve F, Bernard P, Jauniaux E. A clinico-pathologic study of placenta percreta. Int J Gynaecol Obstet. 2018;140(3):365–9.

    Article  PubMed  Google Scholar 

  36. Oyelese Y, Smulian JC. Placenta previa, placenta accreta, and vasa previa. Obstet Gynecol. 2006;107(4):927–41.

    Article  PubMed  Google Scholar 

  37. Arao T, Ishikawa S, Murakami M, Abe K, Maejima Y, Makino T. Heavy metal contamination of agricultural soil and countermeasures in Japan. Paddy Water Environ. 2010;8(3):247–57.

    Article  Google Scholar 

  38. Ciobanu C, Slencu BG, Cuciureanu R. Estimation of dietary intake of cadmium and lead through food consumption. Rev Med Chir Soc Med Nat Iasi. 2012;116(2):617–23.

    CAS  PubMed  Google Scholar 

  39. Ashraf MW. Levels of heavy metals in popular cigarette brands and exposure to these metals via smoking. ScientificWorldJournal. 2012;2012:729430.

    PubMed Central  PubMed  Google Scholar 

  40. Matsuda Y, Hayashi K, Shiozaki A, Kawamichi Y, Satoh S, Saito S. Comparison of risk factors for placental abruption and placenta previa: case-cohort study. J Obstet Gynaecol Res. 2011;37(6):538–46.

    Article  PubMed  Google Scholar 

  41. Ikeda M, Ohashi F, Fukui Y, Sakuragi S, Moriguchi J. Cadmium, chromium, lead, manganese and nickel concentrations in blood of women in non-polluted areas in Japan, as determined by inductively coupled plasma-sector field-mass spectrometry. Int Arch Occup Environ Health. 2011;84(2):139–50.

    Article  CAS  PubMed  Google Scholar 

  42. Ministry of the Environment. The Exposure to chemical compounds in the Japanese People. 2017. https://www.env.go.jp/chemi/dioxin/pamph/cd/2017en_full.pdf. Accessed 7 May 2019.

  43. Nishijo M, Suwazono Y, Ruangyuttikarn W, Nambunmee K, Swaddiwudhipong W, Nogawa K, et al. Risk assessment for Thai population: benchmark dose of urinary and blood cadmium levels for renal effects by hybrid approach of inhabitants living in polluted and non-polluted areas in Thailand. BMC Public Health. 2014;14:702.

    Article  PubMed Central  PubMed  Google Scholar 

  44. Nawrot TS, Staessen JA, Roels HA, Munters E, Cuypers A, Richart T, et al. Cadmium exposure in the population: from health risks to strategies of prevention. Biometals. 2010;23(5):769–82.

    Article  CAS  PubMed  Google Scholar 

  45. Ministry of Health Labour and Welfare. Q & A on Cadmium contained in food. 2010. https://www.mhlw.go.jp/houdou/2003/12/h1209-1c.html#03. Accessed 18 Jan 2019.

  46. Kataoka Y, Watanabe T, Shiramasa Y, Matsuda R. Surveillance of cadmium level in octopus, squid, clam, short-necked clam and chocolate. Shokuhin Eiseigaku Zasshi J Food Hyg Soc Jpn. 2012;53(3):146–51.

    Article  CAS  Google Scholar 

  47. Yamagami T, Ezaki T, Moriguchi J, Fukui Y, Okamoto S, Ukai H, et al. Low-level cadmium exposure in Toyama City and its surroundings in Toyama prefecture, Japan, with references to possible contribution of shellfish intake to increase urinary cadmium levels. Sci Total Environ. 2006;362(1–3):56–67.

    Article  CAS  PubMed  Google Scholar 

  48. Akesson A, Berglund M, Schutz A, Bjellerup P, Bremme K, Vahter M. Cadmium exposure in pregnancy and lactation in relation to iron status. Am J Public Health. 2002;92(2):284–7.

    Article  PubMed Central  PubMed  Google Scholar 

  49. Ito M, Takamori A, Yoneda S, Shiozaki A, Tsuchida A, Matsumura K, et al. Fermented foods and preterm birth risk from a prospective large cohort study: the Japan Environment and Children’s study. Environ Health Prev Med. 2019;24(1):25.

    Article  PubMed Central  PubMed  Google Scholar 

  50. Nomura K, Karita K, Araki A, Nishioka E, Muto G, Iwai-Shimada M, et al. For making a declaration of countermeasures against the falling birth rate from the Japanese Society for Hygiene: summary of discussion in the working group on academic research strategy against an aging society with low birth rate. Environ Health Prev Med. 2019;24(1):14.

    Article  PubMed Central  PubMed  Google Scholar 

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Acknowledgements

Members of the Japan Environment and Children’s Study (JECS) as of 2017 (principal investigator, Toshihiro Kawamoto): Hirohisa Saito (National Center for Child Health and Development, Tokyo, Japan), Reiko Kishi (Hokkaido University, Sapporo, Japan), Nobuo Yaegashi (Tohoku University, Sendai, Japan), Koichi Hashimoto (Fukushima Medical University, Fukushima, Japan), Chisato Mori (Chiba University, Chiba, Japan), Shuichi Ito (Yokohama City University, Yokohama, Japan), Zentaro Yamagata (University of Yamanashi, Chuo, Japan), Hidekuni Inadera (University of Toyama, Toyama, Japan), Michihiro Kamijima (Nagoya City University, Nagoya, Japan), Takeo Nakayama (Kyoto University, Kyoto, Japan), Hiroyasu Iso (Osaka University, Suita, Japan), Masayuki Shima (Hyogo College of Medicine, Nishinomiya, Japan), Yasuaki Hirooka (Tottori University, Yonago, Japan), Narufumi Suganuma (Kochi University, Nankoku, Japan), Koichi Kusuhara (University of Occupational and Environmental Health, Kitakyushu, Japan), and Takahiko Katoh (Kumamoto University, Kumamoto, Japan). The Japan Environment and Children’s Study was funded by the Ministry of the Environment, Japan. The findings and conclusions of this study are the sole responsibility of the authors and do not represent the official views of the Japanese government. We thank Editage (https://www.editage.jp) for English language editing.

Funding

This study was funded and supported by the Ministry of the Environment of Japan. The findings and conclusions of this article are solely the responsibility of the authors and do not represent the official views of this government agency.

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Contributions

MT, DA, SM, MS, TK, and ES contributed to the conception of the study. MT, DA, AS, SA, YI, RT, KK, TK, and ES performed the statistical analyses and wrote the manuscript. MT, SM, YA, KK, and ES contributed to the experimental design and recruitment. All authors have read and approved the final manuscript.

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Correspondence to Mayumi Tsuji.

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Ethics approval and consent to participate

The JECS was approved by the Institutional Review Board of the Japan National Institute for Environmental Studies (approval number: 2017-002), and the Ethics Committees of all participating institutions. The study was conducted in accordance with the Declaration of Helsinki and other national regulations. Written informed consent was obtained from all study participants.

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The authors declare that they have no competing interests.

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Additional file

Additional file 1:

Table S1. Results of multivariable analysis for determining the relationship between quartile concentrations of metals and placenta previa in never smokers and former/current smokers. (DOCX 26 kb)

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Tsuji, M., Shibata, E., Askew, D.J. et al. Associations between metal concentrations in whole blood and placenta previa and placenta accreta: the Japan Environment and Children’s Study (JECS). Environ Health Prev Med 24, 40 (2019). https://doi.org/10.1186/s12199-019-0795-7

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