Maternal soluble fms-like tyrosine kinase-1, placental growth factor, plasminogen activator inhibitor-2, and folate concentrations and early fetal size: the Generation R study




Objective


Fetal growth is dependent on adequate development of the placenta. Impaired angiogenesis and vasculogenesis in early pregnancy compromises placental and embryonic development. The proteins soluble fms-like tyrosine kinase (sFlt)-1, placental growth factor (PlGF), and plasminogen activator inhibitor (PAI)-2, and the B vitamin folate are determinants of placental development. This study aims to identify associations between these maternal biomarkers and early fetal size.


Study Design


From a prospective birth cohort study in The Netherlands, 1491 pregnant women were selected for this study. At a mean gestational age (GA) of 12.4 weeks (SD 0.8) maternal venous blood samples were obtained to determine the concentrations of sFlt-1, PlGF, PAI-2, and folate. Early fetal size was assessed with measurement of the crown-to-rump length (CRL) at a mean of 12.4 weeks’ GA (SD 0.8). Analyses were performed using multivariable linear regression analyses with the biomarkers (continuous, quintiles) as regressors and CRL as main outcome measure.


Results


Linear trend analysis showed positive associations between maternal sFlt-1 ( P < .001), PlGF ( P = .042), PAI-2 ( P < .001), and folate ( P = .039) and CRL. These associations were independent of GA, maternal age, height, body mass index, ethnicity, fetal sex, parity, educational level, smoking, and folic acid supplement use (folate not adjusted).


Conclusion


sFlt-1, PlGF, PAI-2, and folate are positively associated with first-trimester fetal size.


Fetal growth is dependent on adequate development of the placenta. Early development takes place in a relatively low oxygen environment, shielding the embryo against oxygen free radicals, which is vital for trophoblast differentiation and migration, and angiogenesis. Impaired trophoblast invasion can lead to insufficient vascular remodeling of the spiral arteries. This can lead to reduced placenta perfusion and subsequent adverse pregnancy outcomes.


The vascular endothelial growth factor (VEGF) pathway is essential for early development and includes placental growth factor (PlGF) and soluble fms-like tyrosine kinase (sFlt)-1. PlGF is secreted by the cytotrophoblast and syncytiotrophoblast and stimulates endothelial proliferation, migration, and activation. sFlt-1 is secreted by endothelial cells and syncytiotrophoblasts and inhibits PlGF. Both factors are suggested to stimulate and regulate early placentation. Newly formed vessels in the decidua are thought to serve as the first exchange apparatus for the embryo until the placenta becomes completely functional. Inactivation of the VEGF receptor may compromise placental and embryonic development.


Another important system in placental development is the plasminogen activator (PA) system. This pathway is responsible for intravascular blood clot degradation and extracellular proteolysis. One important inhibitor of the PA system is PA inhibitor (PAI)-2 produced by the trophoblast. Previously, low levels of PAI-2 were suggested as a marker of decreased placental development.


Lastly, an important B vitamin and growth factor is folate. Synthetic folic acid has shown to improve endothelial function and is associated with reduced uteroplacental resistance. Williams et al suggested a vital role of folate during placental development, in particular trophoblast invasion and angiogenesis.


From this background, we hypothesized that sFlt-1, PlGF, PAI-2, and folate, as determinants of placental development, ensure an optimal environment for early fetal growth and development. We investigated associations between these biomarkers in maternal blood and early fetal size, measured as crown-to-rump length (CRL).


Materials and Methods


This study was embedded in the Generation R study, a prospective cohort study from early pregnancy onwards in Rotterdam, The Netherlands. The study was approved by the medical ethics committee of the Erasmus University Medical Center, Rotterdam, The Netherlands. Written informed consent was obtained from all mothers for maternal and child data. From 2001 through 2005, 9778 women were included.


All prenatally enrolled Dutch women with a liveborn singleton (n = 4195) and with a CRL measurement were selected from the total study sample ( Figure 1 ). Women with no CRL measurement within the recommended gestational age (GA) range (10+0 weeks to 13+6 weeks) were excluded. Only mothers with a known first day of the last menstrual period (LMP) and a regular menstrual cycle of 28 ± 4 days were included. LMP was obtained of the referring letter from the community midwife or hospital and was verified at the inclusion moment. Additional information on regularity and cycle duration was obtained. If mothers participated in Generation R with ≥2 pregnancies, 1 sibling was randomly selected to avoid bias due to paired data (n = 130). After exclusion of women who underwent a fertility treatment (n = 10) or experienced a stillbirth or miscarriage (n = 21) 1491 women were eligible for the present study. Sensitivity analyses were carried out with exclusion of: (1) diabetics; and (2) women who later develop preeclampsia (PE). As this did not substantially change our results, these women were included in the analyses.




Figure 1


Flow chart

PAI , plasminogen activator inhibitor; PlGF , placental growth factor; sFlt , soluble fms-like tyrosine kinase.

Bouwland-Both. Maternal biomarkers in pregnancy and early fetal size. Am J Obstet Gynecol 2013 .


In early pregnancy, venous blood samples were drawn at the same moment as the CRL was measured (mean 12.4 weeks’ GA, SD 0.8). The samples were stored at room temperature before being transported to the regional laboratory for processing and storage for future studies. Processing was planned to finish within 3 hours after venous puncture. The samples were centrifuged and thereafter stored at –80°C. In plasma, sFlt-1, PlGF, and folate were analyzed using a microparticle-enhanced immunoassay on the Architect System (Abbott Diagnostics BV, Hoofddorp, The Netherlands) as described previously. Between-run coefficients of variation and analytical ranges are listed in Supplemental Table 1 ( Appendix ). Plasma PAI-2 was analyzed using enzyme-linked immunosorbent assay with the same experimental setup as described previously. The analytical and functional sensitivity were 11 pg/mL and 32 pg/mL, respectively. The mean PAI-2 was 88.4 pg/mL and the intraassay variation, between-plates variation, and interassay variation were 3.4%, 2.9%, and 8.4%, respectively.


Standard ultrasound planes for CRL measurement were used as described previously. Intraclass correlation coefficients for intraobserver (0.998) and interobserver (0.995) reproducibility of CRL measurements have been described before. GA-adjusted SD scores (SDS) for CRL were constructed and were based on reference growth curves from the entire study population.


From self-administered questionnaires, data were extracted on maternal age, education, marital status, parity, smoking, folic acid use, nausea/vomiting/fever during the first trimester, and repeated (≥2) miscarriages. Ethnicity was defined according to the classification of Statistics Netherlands. Education was assessed by the highest completed level of the mother and classified as: (1) low (none/primary); (2) medium (secondary); or (3) high (college/university). Maternal smoking habits were assessed for each trimester. Women, who reported any or no smoking during pregnancy were respectively classified as smokers and nonsmokers. Folic acid supplement use was assessed by asking women about the use and moment of initiation of a folic acid supplement. This information was used to categorize women into 3 groups of folic acid use: (1) adequate, defined as preconceptional initiation; (2) inadequate, defined as postconceptional initiation; and (3) no use. At enrollment maternal weight and height were measured to calculate body mass index (BMI) (kg/m 2 ). Information on fertility treatment, pregnancy outcome, date of birth, birth anthropometrics, and the sex of the child were obtained from community midwives, obstetricians, and hospital registries.


Analyses were performed to correlate sFlt-1, PlGF, PAI-2, and folate with GA. Multivariable linear regression analyses were performed with the biomarker concentrations continuous and in quintiles as regressors and CRL (SDS) as main outcome measure. This approach was chosen to explore linearity and nonlinearity of the association. The lowest quintile of each biomarker was used as reference group. In the final analysis, we accounted for potential confounding variables, which were first selected on previous literature and determined a priori. Thereafter, covariates were selected as confounding variables if the effect estimates changed ≥10% in the exploratory analyses. By using this approach, maternal age, parity, smoking, and the use of a folic acid supplement (not for the analyses of folate) were included in the final analyses. Maternal ethnicity, maternal education, height, BMI, and fetal sex were included by default. Furthermore, as sFlt-1 and PlGF belong to the same pathway, analyses of sFlt-1 and PlGF were additionally adjusted for PlGF and sFlt-1, respectively. To assess the possibility of multicolinearity, we have calculated the variance inflation factor (VIF) and tolerance. If the VIF is <10 and/or the tolerance is >0.2, then there is no cause for concern.


Missing data of the covariables ethnicity (3.8%), education (4.9%), parity (0.7%), smoking (10.0%), height (0.3%), BMI (0.3%), and use of a folic acid supplement (19.2%) were completed using the Markov chain Monte Carlo multiple imputation technique for the linear regression models. Five datasets were created. Subsequently multivariable regression analyses were performed separately on each completed data set and combined to 1 pooled estimate. For all analyses, results including imputed missing data are presented.


Nonresponse analyses were performed by comparing characteristics of mothers (age, education, parity, smoking, folic acid supplement use, BMI) and birth characteristics of the children of mothers who were included in the analyses to those who were excluded using t , Mann-Whitney U , and χ 2 tests. Furthermore, analyses were performed to examine correlations between the biomarkers and GA. All analyses were performed using software (SPSS, version 17.0; IBM Corp, Armonk, NY).




Results


The maternal and fetal characteristics are presented in Table 1 . Nonresponse analyses showed that women who had been excluded were less often Dutch (62.8%), were younger (mean = 29.5 years, SD 5.0), had lower education levels (9.4%), were more often multiparous (43.8%), and less frequently used a folic acid supplement (no use = 24.9%) (all P < .05).



Table 1

Baseline characteristics








































































































































Characteristic n = 1491
Maternal
Age, a y 30.7 (4.7)
GA at intake, a wk 12.4 (0.8)
Height, a cm 168.6 (7.1)
Body mass index at intake, b kg/m² 23.5 (21.5-26.0)
Ethnicity, %
Dutch/Caucasian 67.9
Surinamese 5.5
Turkish 6.1
Moroccan 3.8
Indonesian 3.2
Other 9.7
Missing 3.8
Education, %
Low 5.9
Medium 38.5
High 50.7
Missing 4.9
Gravidity, %
Primigravida 48.8
Multigravida 50.6
Missing 0.6
Parity, %
Nullipara 61.0
Multipara 38.3
Missing 0.7
Folic acid supplement use, %
Adequate (preconception initiation) 42.0
Inadequate (postconception initiation) 26.3
No 12.5
Missing 19.2
Smoking, %
Yes 13.5
Until pregnancy recognition 9.0
No 67.5
Missing 10.0
Daily nausea, % 30.0
Daily vomiting, % 7.0
Fetal
Crown-to-rump length, a mm 60.9 (11.4)
Male, % 49.0
GA at birth, b wk c 40.1 (39.0-41.0)
Birthweight, a g 3455 (563)

GA , gestational age.

Bouwland-Both. Maternal biomarkers in pregnancy and early fetal size. Am J Obstet Gynecol 2013.

a Mean (SD)


b Median (interquartile range)


c Based on first day of last menstruation.



Within the GA range (from 10+0 to 13+6 weeks’ GA), we observed positive correlations between GA and the concentrations of PlGF (Spearman ρ = 0.29, P < .001) and PAI-2 (Spearman ρ = 0.30, P < .001), and a small negative correlation with folate (Spearman ρ = –0.09, P = .002). Furthermore, positive correlations were observed between sFlt-1 and PlGF (Spearman ρ = 0.12, P < .001), sFlt-1 and PAI-2 (Spearman ρ = 0.23, P < .001), and PlGF and PAI-2 (Spearman ρ = 0.36, P < .001). No correlation was observed between folate and the other biomarkers.


The associations between maternal sFlt-1, PlGF, PAI-2, and folate levels and CRL (millimeters, SDS) are shown in Table 2 and Figure 2 . In all analysis the first quintile was taken as a reference category.



Table 2

Maternal sFlt-1, PlGF, PAI-2, and folate concentrations and early fetal size





















































































































































































Biomarkers Effect size for CRL, mm Effect size for CRL (SDS)
Crude a Adjusted b Crude a Adjusted b
sFlt-1, ng/mL c
Q1 (≤3.29) Reference Reference Reference Reference
Q2 (3.3-4.35) 0.01 (–1.10 to 1.11) –0.11 (–1.32 to 0.19) –0.01 (–0.17 to 0.15) –0.02 (–0.20 to 0.15)
Q3 (4.36-5.54) 0.03 (–0.96 to 1.26) –0.22 (–1.42 to 1.10) 0.01 (–0.15 to 0.17) –0.01 (–0.20 to 0.14)
Q4 (5.55-7.43) 1.00 (–0.10 to 2.11) 0.85 (–0.67 to 0.98) 0.15 (–0.01 to 0.31) 0.13 (–0.05 to 0.30)
Q5 (≥7.44) 0.95 (–0.16 to 2.05) 1.44 (0.20–2.06) d 0.16 (0.00–0.32) d 0.23 (0.05–0.40) d
Linear trend analyses e 0.15 (0.03–0.26) d 0.20 (0.07–0.33) f 0.03 (0.01–0.04) f 0.03 (0.02–0.05) f
PlGF, pg/mL c
Q1 (≤24.0) Reference Reference Reference Reference
Q2 (24.01-30.4) 0.95 (–0.15 to 2.06) 0.89 (–0.28 to 2.07) 0.13 (–0.03 to 0.29) 0.14 (–0.03 to 0.31)
Q3 (30.41-37.6) 1.58 (0.48–2.69) f 1.92 (0.71–3.14) f 0.22 (0.06–0.38) f 0.29 (0.11–0.46) f
Q4 (37.61-47.9) 2.73 (1.60–3.86) f 2.89 (1.67–4.12) f 0.39 (0.23–0.56) f 0.43 (0.25–0.60) f
Q5 (≥47.91) 2.65 (1.44–3.87) f 3.19 (1.82–4.56) f 0.34 (0.17–0.52) f 0.42 (0.23–0.62) f
Linear trend analyses e 0.01 (–0.00 to 0.03) 0.02 (0.00–0.04) d 0.00 (0.00–0.00) 0.00 (0.00–0.01) d
PAI-2, ng/mL c
Q1 (≤25.6) Reference Reference Reference Reference
Q2 (25.61-31.21) 2.52 (1.41–3.62) f 3.58 (2.37–4.79) f 0.38 (0.22–0.54) f 0.53 (0.36–0.70) f
Q3 (31.22-36.82) 1.66 (0.54–2.77) f 2.43 (1.19–3.67) f 0.25 (0.09–0.41) f 0.37 (0.19–0.55) f
Q4 (36.83-45.32) 3.70 (2.56–4.85) f 4.50 (3.20–5.81) f 0.52 (0.35–0.68) f 0.64 (0.46–0.83) f
Q5 (≥45.33) 3.23 (2.02–4.43) f 4.06 (2.68–5.44) f 0.45 (0.27–0.62) f 0.57 (0.37–0.76) f
Linear trend analyses e 0.06 (0.03–0.09) f 0.08 (0.04–0.11) f 0.01 (0.00–0.01) f 0.01 (0.01–0.02) f
Folate, nmol/L
Q1 (≤11.5) Reference Reference Reference Reference
Q2 (11.51-16.8) 0.59 (–0.52 to 1.70) 0.48 (–0.64 to 1.60) 0.06 (–0.10 to 0.22) 0.05 (–0.12 to 0.21)
Q3 (16.81-22.1) 1.26 (0.16–2.36) d 1.09 (–0.04 to 2.22) 0.15 (–0.01 to 0.30) 0.13 (–0.04 to 0.29)
Q4 (22.11-28.2) 0.69 (–0.42 to 1.79) 0.57 (–0.58 to 1.72) 0.09 (–0.07 to 0.25) 0.07 (–0.09 to 0.24)
Q5 (≥28.21) 1.86 (0.75–2.96) f 1.66 (0.50–2.81) f 0.24 (0.08–0.40) f 0.22 (0.05–0.38) d
Linear trend analyses e 0.06 (0.02–0.09) f 0.05 (0.01–0.09) d 0.01 (0.00–0.01) d 0.01 (0.00–0.01) d

Results from multivariable linear regression analyses. Values are presented as regression coefficients (95% confidence interval), representing change in CRL (millimeters or SDS) compared to reference category.

CRL , crown-to-rump length; PAI , plasminogen activator inhibitor; PlGF , placental growth factor; Q , quintile; SDS , SD score; sFlt , soluble fms-like tyrosine kinase.

Bouwland-Both. Maternal biomarkers in pregnancy and early fetal size. Am J Obstet Gynecol 2013.

a Adjusted for gestational age based on last menstrual period at CRL measurement, gestational age based on last menstrual period at venous puncture and duration of last menstrual cycle


b Additionally adjusted for maternal age, maternal height, maternal body mass index, maternal ethnicity, fetal sex, parity, educational level, smoking


c Multivariable analyses also adjusted for folic acid supplement use


d P value < .05


e Linear trend analyses reflect change in CRL (SDS) as continuous measure per unit (biomarker) change


f P value < .01.




Figure 2


Maternal sFlt-1, PlGF, PAI-2, and folate concentrations and early fetal size

Values are regression coefficients (error bars indicate 95% confidence interval) and represent difference in crown-to-rump length (CRL) SD score (SDS), compared to quintile (Q)1, in A , sFlt-1, B , PlGF, C , PAI-2, and D , folate. Linear trend analyses reflect change in CRL (SDS) as continuous measure per unit (biomarker) change. All values are adjusted for gestational age at venous puncture (based on last menstrual period [LMP]), duration of LMP, maternal age, maternal height, maternal body mass index, maternal ethnicity, fetal sex, parity, educational level, smoking. Analyses of sFlt-1, PlGF, and PAI-2 were additionally adjusted for folic acid supplement use.

PAI-2, plasminogen activator inhibitor 2; PlGF, placental growth factor; sFlt-1, soluble fms-like tyrosine kinase 1.

Bouwland-Both. Maternal biomarkers in pregnancy and early fetal size. Am J Obstet Gynecol 2013 .


In the crude analyses, a larger CRL was observed in women with sFlt-1 levels in quintile (Q)5 (difference SDS = 0.16; 95% confidence interval [CI], 0.00–0.32). A significant linear trend was observed (change 0.15 mm; 95% CI, 0.03–0.26; SDS = 0.03; 95% CI, 0.01–0.04 per ng/mL change in sFlt-1). In the multivariable analyses, the association remained significant in Q5. After additional adjustment for PlGF levels, the associations between sFlt-1 and CRL remained in Q5, but slightly weakened (difference 1.33 mm; 95% CI, 0.09–2.57; SDS = 0.21; 95% CI, 0.04–0.39), with a significant linear trend (change 0.18 mm; 95% CI, 0.05–0.32; SDS = 0.03; 95% CI, 0.01–0.05 per ng/mL change in sFlt-1).


In the crude analyses, positive associations were observed between CRL and PlGF in Q3 (difference 1.58 mm; 95% CI, 0.48–2.69; SDS = 0.22; 95% CI, 0.06–0.38), Q4 (difference 2.73 mm; 95% CI, 1.60–3.86; SDS = 0.39; 95% CI, 0.23–0.56), and Q5 (difference 2.65 mm; 95% CI, 1.44–3.87; SDS = 0.34; 95% CI, 0.17–0.52). After adjustment for confounders in the multivariable analysis, all significant associations remained. After additional adjustment for sFlt-1, all associations between PlGF and CRL remained in Q3 (difference 1.96 mm; 95% CI, 0.75–3.17; SDS = 0.29; 95% CI, 0.12–0.46), Q4 (difference 2.86 mm; 95% CI, 1.63–4.09; SDS = 0.42; 95% CI, 0.24–0.59), and Q5 (difference 3.18 mm; 95% CI, 1.80–4.56; SDS = 0.42; 95% CI, 0.22–0.61).


In the crude analyses, women with PAI-2 levels in Q2 (difference 2.52 mm; 95% CI, 1.41–3.62; SDS = 0.38; 95% CI, 0.22–0.54), Q3 (difference 1.66 mm; 95% CI, 0.54–2.77; SDS = 0.25; 95% CI, 0.09–0.41), Q4 (difference 3.70 mm; 95% CI, 2.56–4.85; SDS = 0.52; 95% CI, 0.35–0.68), and Q5 (difference 3.23 mm; 95% CI, 2.02–4.43; SDS = 0.45; 95% CI, 0.27–0.62) showed associations with CRL. The linear trend tests were significant (change 0.06 mm; 95% CI, 0.03–0.09; SDS = 0.01; 95% CI, 0.00–0.01 per ng/mL change in PAI-2). In the multivariable analyses, the associations remained significant.


The crude analyses showed significant associations between folate and CRL in Q3 (difference 1.26 mm; 95% CI, 0.16–2.36) and Q5 (difference 1.86 mm; 95% CI, 0.75–2.96; SDS = 0.24; 95% CI, 0.08–0.40). Significant trends were observed between folate and CRL (change 0.06 mm; 95% CI, 0.02–0.09; SDS = 0.01; 95% CI, 0.00–0.01 per nmol/mL change in folate). In the multivariable analyses the associations remained significant in Q5.


Last, to assess multicolinearity, we calculated the VIF and tolerance. In all the models, the VIF was <10 and the tolerance was >0.2.




Results


The maternal and fetal characteristics are presented in Table 1 . Nonresponse analyses showed that women who had been excluded were less often Dutch (62.8%), were younger (mean = 29.5 years, SD 5.0), had lower education levels (9.4%), were more often multiparous (43.8%), and less frequently used a folic acid supplement (no use = 24.9%) (all P < .05).



Table 1

Baseline characteristics








































































































































Characteristic n = 1491
Maternal
Age, a y 30.7 (4.7)
GA at intake, a wk 12.4 (0.8)
Height, a cm 168.6 (7.1)
Body mass index at intake, b kg/m² 23.5 (21.5-26.0)
Ethnicity, %
Dutch/Caucasian 67.9
Surinamese 5.5
Turkish 6.1
Moroccan 3.8
Indonesian 3.2
Other 9.7
Missing 3.8
Education, %
Low 5.9
Medium 38.5
High 50.7
Missing 4.9
Gravidity, %
Primigravida 48.8
Multigravida 50.6
Missing 0.6
Parity, %
Nullipara 61.0
Multipara 38.3
Missing 0.7
Folic acid supplement use, %
Adequate (preconception initiation) 42.0
Inadequate (postconception initiation) 26.3
No 12.5
Missing 19.2
Smoking, %
Yes 13.5
Until pregnancy recognition 9.0
No 67.5
Missing 10.0
Daily nausea, % 30.0
Daily vomiting, % 7.0
Fetal
Crown-to-rump length, a mm 60.9 (11.4)
Male, % 49.0
GA at birth, b wk c 40.1 (39.0-41.0)
Birthweight, a g 3455 (563)

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May 13, 2017 | Posted by in GYNECOLOGY | Comments Off on Maternal soluble fms-like tyrosine kinase-1, placental growth factor, plasminogen activator inhibitor-2, and folate concentrations and early fetal size: the Generation R study

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