Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2013 May 1.
Published in final edited form as: Cancer Causes Control. 2012 Mar 15;23(5):779–784. doi: 10.1007/s10552-012-9934-9

Maternal and Cord Steroid Sex Hormones, Angiogenic Factors and Insulin-like Growth Factor Axis in African-American Preeclamptic and Uncomplicated Pregnancies

Jessica M Faupel-Badger 1,2, Yuping Wang 3, Anne Cathrine Staff 4,5, S Ananth Karumanchi 6, Frank Z Stanczyk 7, Michael Pollak 8, Robert N Hoover 2, Rebecca Troisi 2
PMCID: PMC3636811  NIHMSID: NIHMS447500  PMID: 22418778

Abstract

Background

A history of a preeclamptic pregnancy has been associated with subsequent increased risk of cardiovascular disease in the mother and decreased risk of breast cancer in both the mother and offspring. The concentrations of steroid sex hormones, angiogenic factors, and other proteins during pregnancy are important components of the in utero environment and may mediate the association of preeclampsia with later health outcomes. This study sought to compare an extensive profile of biological markers in both maternal and umbilical cord samples in preeclamptic and uncomplicated pregnancies of a predominantly African-American population.

Methods

Steroid sex hormones, angiogenic factors, and components of the insulin-like growth factor axis were measured in maternal and umbilical cord sera from 48 pregnancies complicated by preeclampsia and 43 uncomplicated pregnancies. Regression models estimated the associations of these markers with preeclampsia, after adjusting for maternal and gestational age.

Results

Concentrations of androgens (testosterone p=0.06 and androstenedione (p=0.08) and the anti-angiogenic factors soluble fms-like kinase 1 (p=0.004) and soluble endoglin (p=0.004) were higher in the maternal circulation of women diagnosed with preeclampsia. These findings also were noted when the analyses were restricted to only African-American participants (77% of overall study population). Furthermore, among African-Americans, cord insulin-like growth factor-1 was lower in preeclamptic pregnancies than in controls.

Conclusions

The associations of maternal androgens and anti-angiogenic factors with preeclampsia are consistent with prior reports from predominantly Caucasian populations. Alterations in these analytes as well as other maternal and fetal biomarkers in preeclampsia could mediate the associations of preeclampsia with later health consequences.

Keywords: Preeclampsia, African-American, sFlt-1, IGF, leptin, prolactin

Introduction

A diagnosis of preeclampsia during pregnancy has been associated with a subsequently increased risk of cardiovascular disease in the mother [13] as well as in the offspring [1, 4, 5]. Conversely, a history of preeclampsia has been related to a reduced risk of breast cancer for the mother, and limited data suggest that this protection extends to the offspring [6, 7]. Variations in steroid sex hormones and angiogenic factors have been associated with both preeclampsia [8, 9] and these later health outcomes [7, 1014] and may be involved in the underlying biological mechanisms that lead to altered disease risks.

Preeclampsia is defined by the onset of hypertension and proteinuria after 20 weeks of pregnancy and occurs in approximately 5–7% of pregnant women in the U.S. [15]. Angiogenesis, the process of new blood vessel formation from preexisting vessels, and vascular remodeling are critical in placental establishment and functioning. The process of angiogenesis during placentation is tightly regulated by both pro- and anti-angiogenic factors. In pregnancy complications such as preeclampsia, circulating maternal angiogenic factors are disturbed and normal uteroplacental vessel remodeling is greatly reduced [16].

Previous studies in predominantly Caucasian women have shown that women who develop preeclampsia have highly elevated circulating levels of the anti-angiogenic proteins soluble fms-like kinase 1 (sFlt1) and soluble endoglin (sEng), both prior to and at clinical diagnosis of the disease [1725]. African-American women have higher rates of preeclampsia and higher prevalence of preeclampsia risk factors (e.g., elevated BMI) than Caucasians [2629]. Androgens (testosterone and androstenedione) also have been shown to be higher in maternal circulation in healthy pregnant African-American women compared to Caucasian women [30], while among Caucasian women these same androgens were increased in women with preeclampsia [8, 31, 32]. Here we sought to explore the associations of preeclampsia with several steroid sex hormones and angiogenic factors, in addition to other less studied analytes including components of the insulin-like growth factor (IGF) axis and prolactin in a case-control study conducted in a primarily African-American population to determine if these associations are similar to those found in largely Caucasian populations.

Methods

Study design and population

Participants included in the present analysis were from a case-control study of preeclampsia conducted at Louisiana State University Health Sciences Center at Shreveport, LA, from 2003–2006 [33]. Preeclampsia (cases) was diagnosed as blood pressure >=140/90 mmHg on two separate readings at least 6 hours apart and urine protein measurement of 1+ or more on urine test strip or 24 hour urine protein collection >=300 mg in the specimen. Women with uncomplicated pregnancies (controls) were defined as pregnancy with normal blood pressure (<140/90 mmHg), without proteinuria and matched to cases on maternal age. Cases and controls were required to have singleton pregnancies that were normotensive before 20 weeks gestation, and were excluded from the study if they had chronic hypertension, preexisting or gestational diabetes mellitus, chronic renal disease, or conceptions through any fertility treatment. Initially, only nulliparous women were recruited but this criterion was relaxed later in the study. The original study was approved by the Institutional Review Boards (IRB) of Louisiana State University Health Sciences Center and The Eunice Kennedy Shriver National Institute of Child Health and Human Development.

Data collection and laboratory assays

Medical and demographic information for both mother and offspring was obtained from an in-person interview and medical chart review. Maternal blood samples were collected after consent was obtained when patients were admitted to the labor unit at LSUHSC-S hospital and cord blood was sampled at delivery and processed as described previously [33]. Estradiol (E2), estriol (E3), androstenedione (A4), testosterone (T), progesterone (P), prolactin (PRL), soluble fms-like kinase 1 (sFlt-1), soluble endoglin (sEng), placenta-like growth factor (PlGF), insulin-like growth factor 1 (IGF-1), insulin-like growth factor 2 (IGF-2), insulin-like growth factor-binding protein 3 (IGFBP-3), C-peptide and leptin were assayed in maternal and cord sera. Details of the laboratory assays for all measurements in this population have been published previously (Faupel-Badger, et al., in press). Coefficients of variation (CVs) based on blinded duplicates were less than 10% for all analytes except for maternal A4, E3, and P, which were all <15%, and maternal sEng which was 29%. For cord measures, all analytes had CVs <10% except cord A4 and T (<15%), and E2 (16.3%). Because of limited sera, cord measurements were prioritized based on assay volume requirements to achieve the maximum results from each sample; thus, the sample sizes vary among some of the analytes.

Statistics

T-tests were conducted to evaluate statistical differences in maternal and neonatal characteristics by case status and to determine variables for inclusion in multivariate analysis of protein and hormone measures. The protein and hormone measures were transformed to the natural logarithm values. Linear regression models using continuous values of the proteins and hormones as the dependent variable estimated the associations with preeclampsia after adjustment for variable significantly different between preeclamptic and normal pregnancies (i.e. maternal and gestational age). Birth weight, length and head circumference were not included in the model as these variables are highly correlated with gestational age (rs=0.5–0.8). Analyses were performed using SAS (version 9.0, SAS Institute, Inc., Cary, NC) and statistical significance was defined as two-sided P<0.05.

Results

Demographics of study population

The maternal, gestational, and neonatal characteristics of the study population are reported in Table 1. A total of 91 women (43 cases and 48 controls) participated in this study, including 34 cases and 44 controls who were nulliparous. In addition, 62.8% (n=27) of preeclamptic pregnancies and 77.1 % (n=37) of controls were African-American; the remainder were Caucasian (15 preeclamptic and 8 normal pregnancies) and Hispanic (1 preeclamptic and 3 normal pregnancies). As expected, offspring from preeclamptic pregnancies were delivered earlier and weighed less than offspring from normal pregnancies. Mothers with preeclampsia were more likely to have delivered by Caesarean section (65% vs. 35%, p=0.005) than mothers with normal pregnancies. There were no significant differences in maternal height, pre-pregnancy weight or body mass index (BMI), and pregnancy weight gain or offspring gender between the two study groups, although BMI and pregnancy weight gain were 11% and 16% higher in the cases. Fewer women had cord samples than had maternal samples. Table 1 presents the results for the larger population with maternal samples, however, when these analyses were restricted to only those women with both maternal and cord samples, the medians and significance of the results remained largely unchanged.

Table 1.

Median values for maternal and neonatal characteristics.

Cases Controls
N Median (range) N Median (range) a P
Gestational age 43 34.0 (24.0–42.0) 48 39.0 (34.0–41.3) <0.0001
Birth weight (grams) 43 1742 (410–3290) 48 3206 (2385–4110) <0.0001
Birth length (cm) 43 41.8 (26.0–51.0) 47 48.0 (20.0–54.6) 0.0008
Head circumference (cm) 43 31.0 (20.5–35.5) 47 34.0 (30.5–37.0) <0.0001
Maternal age (years) 43 21 (16–38) 45 20 (15–32) 0.04
Maternal height (in) 43 63 (59–71) 48 64 (59–70) 0.57
Pre-pregnancy maternal weight (lbs) 40 144 (95–350) 45 140 (95–250) 0.21
Maternal weight gain (lbs) 35 37 (4–98) 45 32 (−18–114) 0.12
Pre-pregnancy maternal body mass index (kg/m2) 40 26.5 (18.0–54.8) 45 23.8 (16.8–43.1) 0.16
a

p value from T-test

Associations of analytes with preeclampsia

Means for the sex steroids and proteins measured in maternal and cord samples are presented in Table 2 adjusted for maternal age and gestational age. Maternal concentrations of the anti-angiogenic proteins sFlt-1 and sEng were significantly higher in women with pregnancies complicated by preeclampsia. Maternal T and A4 were also higher (42% and 33% higher, respectively) in preeclamptic pregnancies but these differences did not reach statistical significance. There were no statistically significant differences in maternal estrogens, IGF axis, P or PRL between groups. Cord concentrations of E3, IGF-1, and C peptide were lower in preeclamptic pregnancies, but overall there were no significant differences in cord analyte concentrations between preeclamptic pregnancies and controls. Including maternal BMI, offspring gender, or mode of delivery in the linear regression model examining association of maternal or cord analytes with case-control status did not substantially alter the results from those obtained after adjusting only for gestational age and maternal age (results not shown).

Table 2.

Geometric means of analytes adjusted for gestational age and maternal age.

Cases Controls

N Adjusted Mean 95% CI N Adjusted Mean 95% CI P value

A4 (ng/ml)
 Maternal 43 6.39 5.18, 7.88 48 4.80 3.94, 5.83 0.08
 Cord 28 6.91 5.41, 8.83 34 8.22 6.63, 10.21 0.35

Testosterone (ng/ml)
 Maternal 43 300 237, 381 48 211 169, 264 0.06
 Cord 28 42.6 26.7, 67.9 34 39.8 26.4, 60.1 0.85

Estradiol (ng/ml)
 Maternal 43 15.3 9.1, 25.6 48 10.0 6.2, 16.2 0.29
 Cord 28 17.1 10.7, 27.2 34 16.9 11.2, 25.5 0.98

Estriol (ng/ml)
 Maternal 41 9.11 6.05, 13.73 48 7.29 5.04, 10.56 0.48
 Cord 25 80 35, 182 29 252 120, 532 0.07

Progesterone (ng/ml)
 Maternal 42 140 105, 188 48 102 78, 134 0.16
 Cord 28 1067 720, 1581 31 1704 1187, 2445 0.13

Prolactin (ng/ml)
 Maternal 43 143 119, 171 48 139 118, 165 0.87
 Cord 28 310 230, 420 34 251 192, 327 0.35

IGF1 (ng/ml)
 Maternal 42 147 115, 187 47 136 108, 170 0.68
 Cord 21 51 38, 68 28 77 60, 98 0.06

IGF2 (ng/ml)
 Maternal 41 1767 1583, 1972 48 1770 1603, 1955 0.99
 Cord 22 710 586, 861 25 711 595, 849 0.82

IGFBP3 (ug/ml)
 Maternal 43 4.87 4.37, 5.42 48 5.08 4.59, 5.61 0.61
 Cord 27 1.30 1.05, 1.62 34 1.45 1.20, 1.75 0.51

C peptide (ng/ml)
 Maternal 29 0.72 0.54, 0.96 35 0.70 0.54, 0.91 0.92
 Cord 11 0.37 0.27, 0.51 12 0.57 0.42, 0.77 0.10

Leptin (ng/ml)
 Maternal 41 38.3 29.7, 49.4 46 28.4 22.4, 36.0 0.13
 Cord 17 6.2 3.3, 11.4 22 12.5 7.4, 21.0 0.13

sFlt-1 (pg/ml)
 Maternal 43 15979 11915, 21428 48 8161 6208, 10729 0.004
 Cord 24 3166 1165, 8610 28 1248 505, 3087 0.23

PlGF (pg/ml)
 Maternal 43 43.2 23.7, 78.5 48 40.8 23.3, 71.1 0.90

sEng (ng/ml)
 Maternal 43 24.8 19.0, 32.4 48 13.5 10.6, 17.3 0.004

When analyte comparisons were restricted to only African-American pregnancies, the associations of maternal sFlt-1 and sEng with preeclampsia remained significant. In addition, cord IGF-1 was significantly lower in preeclampsia pregnancies (p=0.02).

Discussion

Prior studies have shown significantly higher concentrations of maternal anti-angiogenic factors [17, 18, 20, 21, 34, 35] and androgens (A4 and T) [32] in women with preeclampsia compared to those with uncomplicated pregnancies. Our results are consistent with prior studies that were primarily conducted in predominantly Caucasian populations [1725]. In addition, including maternal A4 and the anti-angiogenic factors simultaneously in the regression models did not alter the significance of the results, suggesting that both may be independently associated with preeclampsia.

In the cord samples, we found non-significantly lower levels of E3 and IGF-1 in samples from women with preeclampsia. Similar results have been reported in studies of Caucasian populations [36, 37]. When the cord analyses were restricted to only African-Americans, IGF1 was significantly lower in preeclamptic than in uncomplicated pregnancy.

This study has some limitations. The samples were collected at delivery and measurements may not represent analyte concentrations earlier in pregnancy. Accounting for mode of delivery, however, did not alter the associations suggesting that the stress of a vaginal delivery did not affect concentrations. The CV for maternal sEng measures was high (29%), yet there was such a large difference in the mean sEng levels between the two groups that a significantly higher concentration was detected in maternal samples from preeclamptic pregnancies. It is likely that the real mean differences are even greater than reported here.

The strengths of the study include a large sample of African-Americans, a population that despite its higher risk has been less characterized than Caucasians with regard to concentrations of biomarkers in preeclampsia. To our knowledge, this also is the most comprehensive set of angiogenic factors, steroid sex hormones, and components of the IGF axis measured in both maternal and cord samples in a single preeclampsia study. This provided us with greater opportunity to explore both the in utero environment and maternal circulation in this condition.

The altered angiogenic balance and increased androgen concentrations reported here may also have implications for later health outcomes in the mother. Mothers with a history of preeclampsia and the female offspring from these pregnancies are at reduced risk of developing breast cancer [6, 7] and mothers (and possibly offspring) are at higher risk of cardiovascular disease later in life [15] when compared with mothers and offspring from normal pregnancies. Studies that have shown these associations of preeclampsia with later chronic disease risk have focused on either exclusively or predominantly Caucasian populations and did not stratify risk estimates by race/ethnicity [1, 2, 7, 38]. This is particularly surprising given the higher prevalence of risk factors for both preeclampsia and cardiovascular disease in African-American women [26, 28, 39, 40].

Currently there is debate as to whether preeclampsia initiates a long-lasting, altered vascular state that contributes to later health outcomes or alternatively, if women who are at higher risk of developing preeclampsia also have altered chronic disease susceptibility because of underlying risk factors in common across the conditions [2]. A prior study evaluating the association of preeclampsia (or gestational hypertension) with reduced risk of breast cancer reported that the reduction in risk was even stronger among women who had male offspring (relative risk 0.62, 95% CI, 0.47–0.82 for son compared to relative risk 0.75, 95% CI, 0.62–0.91 for whole population) [41]. This result was interpreted to “support the hypothesis that a protective effect of pre-eclampsia on breast cancer risk could originate from the particular pregnancy, rather than indicating an underlying biological trait that is protective against breast cancer in women who develop pre-eclampsia [41].” Additional studies focusing on predominantly non-Caucasian populations and/or that are large enough to explore the analyses by race and/or offspring gender may provide more insight into the relationship of preeclampsia with chronic disease risk.

Acknowledgments

We would like to thank Lisa Philibert, RN and Kimberly Mandino, RN at LSUHSC-Shreveport for patient recruitment and clinical data collection for the study. We also thank Marianne Hyer and David Castenson at Information Management Systems for their contributions to data verification and analysis and Dr. Jun Zhang at NICHD for collaborating with us on the parent study.

Grant support: This research was supported in part by the intramural research program of the National Cancer Institute (NCI), National Institutes of Health and the Center for Cancer Training, Cancer Prevention Fellowship Program, NCI.

Footnotes

Disclosures

Dr. Karumanchi is a co-inventor on multiple patents related to use of angiogenic proteins for the diagnosis and therapeutic applications in preeclampsia. These patents are held by Beth Israel Deaconess Medical Center and have been licensed to multiple companies. Dr. Karumanchi has financial interest in Aggamin LLC.

References

  • 1.Bellamy L, Casas JP, Hingorani AD, Williams DJ. Pre-eclampsia and risk of cardiovascular disease and cancer in later life: systematic review and meta-analysis. BMJ. 2007;335:974. doi: 10.1136/bmj.39335.385301.BE. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Craici I, Wagner S, Garovic VD. Preeclampsia and future cardiovascular risk: formal risk factor or failed stress test? Ther Adv Cardiovasc Dis. 2008;2:249–59. doi: 10.1177/1753944708094227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Powe CE, Levine RJ, Karumanchi SA. Preeclampsia, a disease of the maternal endothelium: the role of antiangiogenic factors and implications for later cardiovascular disease. Circulation. 2011;123:2856–69. doi: 10.1161/CIRCULATIONAHA.109.853127. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Kajantie E, Eriksson JG, Osmond C, Thornburg K, Barker DJ. Pre-eclampsia is associated with increased risk of stroke in the adult offspring: the Helsinki birth cohort study. Stroke. 2009;40:1176–80. doi: 10.1161/STROKEAHA.108.538025. [DOI] [PubMed] [Google Scholar]
  • 5.Tenhola S, Rahiala E, Halonen P, Vanninen E, Voutilainen R. Maternal preeclampsia predicts elevated blood pressure in 12-year-old children: evaluation by ambulatory blood pressure monitoring. Pediatr Res. 2006;59:320–4. doi: 10.1203/01.pdr.0000196734.54473.e3. [DOI] [PubMed] [Google Scholar]
  • 6.Innes KE, Byers TE. Preeclampsia and breast cancer risk. Epidemiology. 1999;10:722–32. [PubMed] [Google Scholar]
  • 7.Troisi R, Potischman N, Hoover RN. Exploring the underlying hormonal mechanisms of prenatal risk factors for breast cancer: a review and commentary. Cancer Epidemiol Biomarkers Prev. 2007;16:1700–12. doi: 10.1158/1055-9965.EPI-07-0073. [DOI] [PubMed] [Google Scholar]
  • 8.Acromite MT, Mantzoros CS, Leach RE, Hurwitz J, Dorey LG. Androgens in preeclampsia. Am J Obstet Gynecol. 1999;180:60–3. doi: 10.1016/s0002-9378(99)70150-x. [DOI] [PubMed] [Google Scholar]
  • 9.Young BC, Levine RJ, Karumanchi SA. Pathogenesis of preeclampsia. Annu Rev Pathol. 5:173–92. doi: 10.1146/annurev-pathol-121808-102149. [DOI] [PubMed] [Google Scholar]
  • 10.Gingery A, Bahe EL, Gilbert JS. Placental ischemia and breast cancer risk after preeclampsia: tying the knot. Expert Rev Anticancer Ther. 2009;9:671–81. doi: 10.1586/era.09.18. [DOI] [PubMed] [Google Scholar]
  • 11.Key T, Appleby P, Barnes I, Reeves G. Endogenous sex hormones and breast cancer in postmenopausal women: reanalysis of nine prospective studies. J Natl Cancer Inst. 2002;94:606–16. doi: 10.1093/jnci/94.8.606. [DOI] [PubMed] [Google Scholar]
  • 12.Ray A, Cleary MP. Leptin as a potential therapeutic target for breast cancer prevention and treatment. Expert Opin Ther Targets. 14:443–51. doi: 10.1517/14728221003716466. [DOI] [PubMed] [Google Scholar]
  • 13.Vona-Davis L, Rose DP. Angiogenesis, adipokines and breast cancer. Cytokine Growth Factor Rev. 2009;20:193–201. doi: 10.1016/j.cytogfr.2009.05.007. [DOI] [PubMed] [Google Scholar]
  • 14.Fauser BC, Laven JS, Tarlatzis BC, Moley KH, Critchley HO, Taylor RN, et al. Sex Steroid Hormones and Reproductive Disorders: Impact on Women’s Health. Reprod Sci. 18:702–12. doi: 10.1177/1933719111405068. [DOI] [PubMed] [Google Scholar]
  • 15.Walker JJ. Pre-eclampsia. Lancet. 2000;356:1260–5. doi: 10.1016/S0140-6736(00)02800-2. [DOI] [PubMed] [Google Scholar]
  • 16.Wang A, Rana S, Karumanchi SA. Preeclampsia: the role of angiogenic factors in its pathogenesis. Physiology (Bethesda) 2009;24:147–58. doi: 10.1152/physiol.00043.2008. [DOI] [PubMed] [Google Scholar]
  • 17.Levine RJ, Lam C, Qian C, Yu KF, Maynard SE, Sachs BP, et al. Soluble endoglin and other circulating antiangiogenic factors in preeclampsia. N Engl J Med. 2006;355:992–1005. doi: 10.1056/NEJMoa055352. [DOI] [PubMed] [Google Scholar]
  • 18.Levine RJ, Maynard SE, Qian C, Lim KH, England LJ, Yu KF, et al. Circulating angiogenic factors and the risk of preeclampsia. N Engl J Med. 2004;350:672–83. doi: 10.1056/NEJMoa031884. [DOI] [PubMed] [Google Scholar]
  • 19.Levine RJ, Qian C, Maynard SE, Yu KF, Epstein FH, Karumanchi SA. Serum sFlt1 concentration during preeclampsia and mid trimester blood pressure in healthy nulliparous women. Am J Obstet Gynecol. 2006;194:1034–41. doi: 10.1016/j.ajog.2005.10.192. [DOI] [PubMed] [Google Scholar]
  • 20.Maynard SE, Min JY, Merchan J, Lim KH, Li J, Mondal S, et al. Excess placental soluble fms-like tyrosine kinase 1 (sFlt1) may contribute to endothelial dysfunction, hypertension, and proteinuria in preeclampsia. J Clin Invest. 2003;111:649–58. doi: 10.1172/JCI17189. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Rana S, Karumanchi SA, Levine RJ, Venkatesha S, Rauh-Hain JA, Tamez H, et al. Sequential changes in antiangiogenic factors in early pregnancy and risk of developing preeclampsia. Hypertension. 2007;50:137–42. doi: 10.1161/HYPERTENSIONAHA.107.087700. [DOI] [PubMed] [Google Scholar]
  • 22.Romero R, Nien JK, Espinoza J, Todem D, Fu W, Chung H, et al. A longitudinal study of angiogenic (placental growth factor) and anti-angiogenic (soluble endoglin and soluble vascular endothelial growth factor receptor-1) factors in normal pregnancy and patients destined to develop preeclampsia and deliver a small for gestational age neonate. J Matern Fetal Neonatal Med. 2008;21:9–23. doi: 10.1080/14767050701830480. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Staff AC, Braekke K, Harsem NK, Lyberg T, Holthe MR. Circulating concentrations of sFlt1 (soluble fms-like tyrosine kinase 1) in fetal and maternal serum during pre-eclampsia. Eur J Obstet Gynecol Reprod Biol. 2005;122:33–9. doi: 10.1016/j.ejogrb.2004.11.015. [DOI] [PubMed] [Google Scholar]
  • 24.Thadhani R, Mutter WP, Wolf M, Levine RJ, Taylor RN, Sukhatme VP, et al. First trimester placental growth factor and soluble fms-like tyrosine kinase 1 and risk for preeclampsia. J Clin Endocrinol Metab. 2004;89:770–5. doi: 10.1210/jc.2003-031244. [DOI] [PubMed] [Google Scholar]
  • 25.Venkatesha S, Toporsian M, Lam C, Hanai J, Mammoto T, Kim YM, et al. Soluble endoglin contributes to the pathogenesis of preeclampsia. Nat Med. 2006;12:642–9. doi: 10.1038/nm1429. [DOI] [PubMed] [Google Scholar]
  • 26.Flegal KM, Carroll MD, Ogden CL, Curtin LR. Prevalence and trends in obesity among US adults, 1999–2008. JAMA. 303:235–41. doi: 10.1001/jama.2009.2014. [DOI] [PubMed] [Google Scholar]
  • 27.Knuist M, Bonsel GJ, Zondervan HA, Treffers PE. Risk factors for preeclampsia in nulliparous women in distinct ethnic groups: a prospective cohort study. Obstet Gynecol. 1998;92:174–8. doi: 10.1016/s0029-7844(98)00143-4. [DOI] [PubMed] [Google Scholar]
  • 28.Tanaka M, Jaamaa G, Kaiser M, Hills E, Soim A, Zhu M, et al. Racial disparity in hypertensive disorders of pregnancy in New York State: a 10-year longitudinal population-based study. Am J Public Health. 2007;97:163–70. doi: 10.2105/AJPH.2005.068577. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Tucker MJ, Berg CJ, Callaghan WM, Hsia J. The Black-White disparity in pregnancy-related mortality from 5 conditions: differences in prevalence and case-fatality rates. Am J Public Health. 2007;97:247–51. doi: 10.2105/AJPH.2005.072975. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Henderson BE, Bernstein L, Ross RK, Depue RH, Judd HL. The early in utero oestrogen and testosterone environment of blacks and whites: potential effects on male offspring. Br J Cancer. 1988;57:216–8. doi: 10.1038/bjc.1988.46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Salamalekis E, Bakas P, Vitoratos N, Eleptheriadis M, Creatsas G. Androgen levels in the third trimester of pregnancy in patients with preeclampsia. Eur J Obstet Gynecol Reprod Biol. 2006;126:16–9. doi: 10.1016/j.ejogrb.2005.07.007. [DOI] [PubMed] [Google Scholar]
  • 32.Troisi R, Potischman N, Roberts JM, Ness R, Crombleholme W, Lykins D, et al. Maternal serum oestrogen and androgen concentrations in preeclamptic and uncomplicated pregnancies. Int J Epidemiol. 2003;32:455–60. doi: 10.1093/ije/dyg094. [DOI] [PubMed] [Google Scholar]
  • 33.Zhang J, Masciocchi M, Lewis D, Sun W, Liu A, Wang Y. Placental anti-oxidant gene polymorphisms, enzyme activity, and oxidative stress in preeclampsia. Placenta. 2008;29:439–43. doi: 10.1016/j.placenta.2008.02.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Vatten LJ, Eskild A, Nilsen TI, Jeansson S, Jenum PA, Staff AC. Changes in circulating level of angiogenic factors from the first to second trimester as predictors of preeclampsia. Am J Obstet Gynecol. 2007;196:239, e1–6. doi: 10.1016/j.ajog.2006.10.909. [DOI] [PubMed] [Google Scholar]
  • 35.Erez O, Romero R, Espinoza J, Fu W, Todem D, Kusanovic JP, et al. The change in concentrations of angiogenic and anti-angiogenic factors in maternal plasma between the first and second trimesters in risk assessment for the subsequent development of preeclampsia and small-for-gestational age. J Matern Fetal Neonatal Med. 2008;21:279–87. doi: 10.1080/14767050802034545. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Troisi R, Vatten L, Hoover RN, Roberts JM, Cole BF, Potischman N. Maternal androgen and estrogen concentrations are not associated with blood pressure changes in uncomplicated pregnancies. Cancer Epidemiol Biomarkers Prev. 2006;15:2013–5. doi: 10.1158/1055-9965.EPI-06-0531. [DOI] [PubMed] [Google Scholar]
  • 37.Vatten LJ, Odegard RA, Nilsen ST, Salvesen KA, Austgulen R. Relationship of insulin-like growth factor-I and insulin-like growth factor binding proteins in umbilical cord plasma to preeclampsia and infant birth weight. Obstet Gynecol. 2002;99:85–90. doi: 10.1016/s0029-7844(01)01651-9. [DOI] [PubMed] [Google Scholar]
  • 38.Xue F, Michels KB. Intrauterine factors and risk of breast cancer: a systematic review and meta-analysis of current evidence. Lancet Oncol. 2007;8:1088–100. doi: 10.1016/S1470-2045(07)70377-7. [DOI] [PubMed] [Google Scholar]
  • 39.Fryar CD, Hirsch R, Eberhardt MS, Yoon SS, Wright JD. NCHS Data Brief 1–8. Hypertension, high serum total cholesterol, and diabetes: racial and ethnic prevalence differences in U.S. adults, 1999–2006. [PubMed] [Google Scholar]
  • 40.Samadi AR, Mayberry RM, Zaidi AA, Pleasant JC, McGhee N, Jr, Rice RJ. Maternal hypertension and associated pregnancy complications among African-American and other women in the United States. Obstet Gynecol. 1996;87:557–63. doi: 10.1016/0029-7844(95)00480-7. [DOI] [PubMed] [Google Scholar]
  • 41.Vatten LJ, Forman MR, Nilsen TI, Barrett JC, Romundstad PR. The negative association between pre-eclampsia and breast cancer risk may depend on the offspring’s gender. Br J Cancer. 2007;96:1436–8. doi: 10.1038/sj.bjc.6603688. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES