American Journal of Obstetrics & Gynecology
Volume 199, Issue 2 , Pages 122.e1-122.e11, August 2008

First-trimester maternal serum PP13 in the risk assessment for preeclampsia

Presented at the 27th Annual Meeting of the Society for Maternal-Fetal Medicine, San Francisco, CA, Feb. 5-10, 2007.

  • Roberto Romero, MD

      Affiliations

    • Perinatology Research Branch, National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI
    • Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI
    • Corresponding Author InformationReprints: Roberto Romero, MD, Perinatology Research Branch, National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Wayne State University/Hutzel Women's Hospital, 3990 John R, Box 4, Detroit, MI 48201.
    • ,
  • Juan Pedro Kusanovic, MD

      Affiliations

    • Perinatology Research Branch, National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI
    • Department of Obstetrics and Gynecology, Wayne State University, Detroit, MI
    • ,
  • Nandor Gabor Than, MD, PhD

      Affiliations

    • Perinatology Research Branch, National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI
    • First Department of Obstetrics and Gynecology, Semmelweis University, Budapest, Hungary
    • ,
  • Offer Erez, MD

      Affiliations

    • Perinatology Research Branch, National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI
    • ,
  • Francesca Gotsch, MD

      Affiliations

    • Perinatology Research Branch, National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI
    • ,
  • Jimmy Espinoza, MD

      Affiliations

    • Perinatology Research Branch, National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI
    • Department of Obstetrics and Gynecology, Wayne State University, Detroit, MI
    • ,
  • Samuel Edwin, PhD

      Affiliations

    • Perinatology Research Branch, National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI
    • ,
  • Ilana Chefetz, MSc

      Affiliations

    • Diagnostic Technologies, Yokneam, Israel
    • ,
  • Ricardo Gomez, MD

      Affiliations

    • Center for Perinatal Diagnosis and Research, Sótero del Río Hospital, P. Universidad Católica de Chile, Puente Alto, Chile
    • ,
  • Jyh Kae Nien, MD

      Affiliations

    • Center for Perinatal Diagnosis and Research, Sótero del Río Hospital, P. Universidad Católica de Chile, Puente Alto, Chile
    • ,
  • Marei Sammar, PhD

      Affiliations

    • Diagnostic Technologies, Yokneam, Israel
    • ,
  • Beth Pineles, BS

      Affiliations

    • Perinatology Research Branch, National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI
    • ,
  • Sonia S. Hassan, MD

      Affiliations

    • Perinatology Research Branch, National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI
    • Department of Obstetrics and Gynecology, Wayne State University, Detroit, MI
    • ,
  • Hamutal Meiri, PhD

      Affiliations

    • Diagnostic Technologies, Yokneam, Israel
    • ,
  • Yossi Tal, PhD

      Affiliations

    • TechnoSTAT, Kfar Sabah, Israel
    • ,
  • Ido Kuhnreich, MSc

      Affiliations

    • TechnoSTAT, Kfar Sabah, Israel
    • ,
  • Zoltan Papp, MD, DSci

      Affiliations

    • First Department of Obstetrics and Gynecology, Semmelweis University, Budapest, Hungary
    • ,
  • Howard S. Cuckle, PhD

      Affiliations

    • Leeds Screening Centre, University of Leeds, Leeds, UK
    • Department of Obstetrics and Gynecology, Columbia University, New York, NY.

Received 9 July 2007; received in revised form 17 October 2007; accepted 11 January 2008. published online 09 June 2008.

Article Outline

Objective

The objective of the study was to determine whether first-trimester maternal serum placental protein 13 (PP13) concentrations can be used in the risk assessment for preeclampsia.

Study Design

This case-control study included 50 patients with preeclampsia and 250 patients with normal pregnancies. Samples were collected between 8 and 13 weeks of gestation. Serum PP13 concentrations were measured by immunoassay and expressed as medians and multiples of the median (MoM) for gestational age. Sensitivity and specificity were derived from receiver-operating characteristic curve analysis.

Results

(1) Serum PP13 concentration in the first trimester was significantly lower in patients who developed preterm and early-onset preeclampsia than in those with normal pregnancies; and (2) at 80% specificity, a cutoff of 0.39 MoM had a sensitivity of 100% for early-onset preeclampsia and 85% for preterm preeclampsia.

Conclusion

Maternal serum first-trimester PP13 appears to be a reasonable marker for risk assessment for preterm preeclampsia but a weak marker for severe preeclampsia at term, and ineffective for identifying mild preeclampsia at term.

Key words: high-risk pregnancy, maternal serum biochemistry, prenatal care, risk assessment, screening

 

Preeclampsia complicates approximately 5% of all pregnancies and remains a leading cause of maternal and perinatal morbidity and mortality.1, 2, 3, 4, 5, 6 It is increasingly recognized that patients presenting with preeclampsia at early gestational ages have a more severe form of the disease with a higher frequency of multisystemic involvement and small for gestational age (SGA) fetuses than those presenting at term.4, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 Early-onset preeclampsia (less than 34 weeks of gestation) is characterized by uteroplacental vascular insufficiency and damage to the placental villous tree.2, 13, 17, 18, 19, 20, 21, 22 Indeed, patients with early-onset disease are more likely to have abnormal uterine and umbilical artery Doppler velocimetry studies23, 24, 25, 26, 27, 28, 29, 30, 31 and lesions recognized by placental histological examination.20, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44 Moreover, the perinatal morbidity and mortality is higher in early-onset disease,4, 8, 15 as are the frequencies of hemolysis, elevated liver enzymes, and low platelet count (HELLP) syndrome10, 45, 46, 47, 48 and placental abruption.49, 50, 51, 52

Risk assessment for preeclampsia remains a major challenge in prenatal care. A wide range of markers have been the subject of investigation, ranging from uterine artery Doppler velocimetry23, 24, 25, 26, 27, 28, 29, 30, 31 to analytes such as soluble vascular endothelial growth factor receptor-1,16, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76 placental growth factor,16, 53, 61, 70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83 soluble endoglin,70, 74, 84, 85, 86, 87 and others.88

Placental Protein 13 (PP13)89, 90, 91, 92 is a member of the galectin family,93, 94 predominantly expressed by the placenta, specifically by the syncytiotrophoblast, in which it is localized on the brush-border membrane at the maternal-fetal interface.94, 95 Recently, maternal serum PP13 concentrations were found to be significantly reduced during the first trimester among women who subsequently developed preeclampsia.96, 97

The purpose of this study was to determine whether PP13 serum concentrations in the first trimester of pregnancy can be used in the risk assessment for preeclampsia. We have conducted a nested case-control study in a Hispanic population, which has been reported to have an increased relative risk for preeclampsia than that of non-Hispanic Caucasian women.98

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Materials and Methods 

A nested case-control study was designed using data from a prospective, longitudinal study conducted by the Perinatology Research Branch of the National Institute of Child Health and Human Development (NICHD). This cohort included pregnant patients seeking care at the prenatal clinics of the Sótero del Río Hospital in Santiago, Chile. First-trimester blood samples were obtained on enrollment, beginning at 7 weeks of gestation.54 All women provided written informed consent prior to the collection of samples. The collection and utilization of the samples was approved by the Institutional Review Boards of both the Sótero del Río Hospital, Santiago, Chile, and the National Institute of Child Health and Human Development (NICHD/National Institutes of Health/Department of Health and Human Services (Bethesda, MD).

Women aged 18-45 years with a singleton gestation who delivered after 26 weeks were eligible for inclusion. Patients were classified into the following study groups: preeclampsia (n = 50) and normal pregnancy (n = 250). Women in the preeclampsia group were further classified as: (1) preterm preeclampsia (n = 13); (2) severe preeclampsia at term (n = 21); and (3) mild preeclampsia at term (n = 16). From the group of patients with preterm preeclampsia, 6 women with early-onset preeclampsia (preeclampsia requiring delivery before 34 weeks of gestation) were examined as a separate group. Each patient with preeclampsia was matched to 5 women with normal pregnancies. The cases were matched by gestational age at venipuncture (± 1 week) and duration of storage of the specimen (± 2 weeks).

Baseline demographics, blood pressure measurements, and urinalyses from the first prenatal visit through the postpartum period as well as subsequent outcome of pregnancy were collected prospectively by practitioners throughout prenatal care. Serum samples were collected at the time of the first prenatal visit and at regular intervals thereafter.

Definitions 

Gestational age (GA) was determined by the last menstrual period and verified by fetal biometry in the first or second trimester of pregnancy in all patients. Preeclampsia was defined as hypertension (systolic blood pressure 140 mm Hg or greater or diastolic blood pressure 90 mm Hg or greater on at least 2 occasions, 4 hours to 1 week apart) associated with proteinuria (greater than 300 mg in a 24 hour urine collection or 1 dipstick measurement of 2+ or greater).99 Severe preeclampsia was defined as systolic blood pressure of 160 mm Hg or greater or diastolic blood pressure of 110 mm Hg or greater and/or proteinuria greater than 5 g in a 24 hour collection or 3+ or greater on dipstick.6

Patients with preeclampsia were subclassified as either early-onset (less than 34 weeks) or preterm (less than 37 weeks) preeclampsia according to the gestational age at which delivery was required. SGA was defined as a birthweight below the 10th percentile for the gestational age at birth, according to the national birthweight distribution of a Hispanic population.100 Normal pregnancy was defined as one that resulted in the delivery of an appropriate-for-gestational age neonate at term without complications.

PP13 immunoassay 

Samples of peripheral blood from pregnant women were obtained by venipuncture, centrifuged, and stored at −80°C. Maternal serum concentration of PP13 was measured using a solid-phase sandwich enzyme-linked immunosorbent assay (ELISA) with a pair of PP13-specific monoclonal antibodies, marked with amplified biotin-extravidin-horseradish-peroxidase complex, and developed with tetramethylbenzidine substrate, as previously described.92 The optical density was measured at 450 nm against a 650 nm background. Concentrations were determined by extrapolation from a standard curve constructed using recombinant PP13 standards (0-500 pg/mL). The sensitivity of the assay was 5 pg/ml. The intra- and interassay coefficients of variation for this study were 7.3% and 19.5%, respectively. The laboratory staff performing the assays was blinded to pregnancy outcome.

Statistical analysis 

Baseline demographics, clinical and delivery characteristics were compared using Fisher's exact test for categorical variables and Wilcoxon rank-sum test for continuous variables. The first-trimester concentration of PP13 for each subject was converted into a multiple of the gestational age-specific median (MoM) following the method described by Cuckle and Wald.101 In brief, this was done by computing the median PP13 concentration of pregnancies with normal outcomes. Medians were calculated for each completed week of gestation at venipuncture, and adjustment was then made using weighted (by number of patients) regression to model the relationship between PP13 concentration and gestational age. Because of the wide window range of gestational age, the cubic weighted regression model showed superior fit over the linear weighted regression model for this population.

MoM was then computed for all subjects (cases and controls) with the following formula:

where, i = subject, j = GA, and median is the regressed value.

The gestational age–adjusted PP13 MoM was then further adjusted to body mass index (BMI) because of the significant correlation between PP13 MoM and BMI (P = .048). In the normal pregnancy group, there was no association between PP13 MoM and maternal age (P = .34) or parity (P = .15); thus, PP13 MoM was initially adjusted only to GA and BMI. However, because of the correlation of PP13 MoM to parity and maternal age in the preeclampsia group, PP13 MoM was subsequently adjusted for 4 parameters: GA, BMI, maternal age, and parity. No adjustment was made for ethnicity, considering the common Hispanic origin.

PP13 MoM was first compared between women with normal pregnancy and those with preeclampsia. Subsequently a subgroup analysis was performed based on the clinical subtypes of preeclampsia. The comparison of PP13 MoM between groups was performed with the Wilcoxon rank-sum test.

The sensitivity and specificity for different thresholds of PP13 MoM were derived from receiver-operating characteristic (ROC) curves, which included all cases with preeclampsia and then a set of curves generated for the different clinical subtypes of the syndrome (mild preeclampsia at term, severe preeclampsia at term, preterm, and early-onset preeclampsia). The area under the curve (AUC), along with the 95% confidence interval and P values were derived. Diagnostic indices (sensitivity and specificity) for first-trimester maternal serum PP13 MoMs were calculated. Data were analyzed using SAS (SAS Institute, Cary, NC).

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Results 

Demographic and clinical characteristics 

Table 1 displays the demographic characteristics of the study population. Women with severe preeclampsia at term were younger than those with normal pregnancies. Patients with other clinical subtypes of preeclampsia did not differ in maternal age from the group of normal pregnancy. The mean BMIs at enrollment for patients with mild and severe preeclampsia at term and patients with preterm preeclampsia were significantly higher than those of patients with normal pregnancies. The proportion of nulliparous women was significantly higher in the group of severe preeclampsia at term than in all other study groups. The median gestational age at venipuncture did not differ among the study groups.

TABLE 1. Demographic characteristics of the study groups
Study groups
Normal pregnancy (n = 250)Mild preeclampsia at term (n = 16)Severe preeclampsia at term (n = 21)Preterm preeclampsia (n = 13)Early-onset preeclampsia (n = 6)
Maternal age (y)24.5±5.627.2±7.621.5±4.7a27.2±7.128.3±7.7
Maternal BMI (kg/m2)22.1±2.024.3±2.6b25.7±5.1b25.9±5.3a26.5±5.7
Nulliparity (%)49.256.381.0a46.233.3
Gestational age at blood draw (wks)11.1(8.0to13.9)11.5(8.6to13.4)11.9(9.3to13.9)11.6(8.4to13.7)10.6(9.0to13.3)

Values are expressed as mean ± SD or median (range).

Early-onset preeclampsia cases were included in the preterm preeclampsia group.

Romero. First-trimester PP13 and preterm preeclampsia. Am J Obstet Gynecol 2008.

aP < .01, compared with the normal pregnancy group.

bP < .001, compared with the normal pregnancy group.

Table 2 displays the clinical characteristics of the study population. Cesarean delivery was more frequent in the groups with preeclampsia than among women with normal pregnancies. The mean birthweight of neonates born to women with severe preeclampsia at term and those with preterm preeclampsia was significantly lower than for those born to women with normal pregnancies. In the group of patients with preterm preeclampsia, 9 of the 13 patients delivered an SGA neonate. In the group of patients with term preeclampsia, there were 7 SGA neonates (5 with severe preeclampsia).

TABLE 2. Clinical characteristics of the study groups
Study groups
Normal pregnancy (n = 250)Mild preeclampsia at term (n = 16)Severe preeclampsia at term (n = 21)Preterm preeclampsia (n = 13)Early-onset preeclampsia (n = 6)
GA at delivery (wks)39.7±1.139.1±1.239.0±1.0a34.0±3.0b31.5±2.5b
Cesarean delivery (%)8.418.8b33.3b61.5b83.3b
Birthweight (g)3448.0±278.23386.3±545.03143.8±472.9a1872.3±722.7b1226.7±383.3b
Female neonates (%)44.450.033.346.233.3
Highest systolic BP (mm Hg)122.5±6.9144.1±5.8b158.9±17.0b163.1±22.5b165.0±18.7b
Highest diastolic BP (mm Hg)77.2±5.095.1±5.8b101.8±12.5b106.2±13.2b108.3±14.7b
Highest proteinuria (by dipstick)0(0–1)2(1–2)3(2–4)3(2–4)3(2–4)

Values are expressed as percent, mean ± SD, or median (range).

BP, blood pressure.

Early-onset preeclampsia cases were included in the preterm preeclampsia group

Romero. First-trimester PP13 and preterm preeclampsia. Am J Obstet Gynecol 2008.

aP < .01, compared with the normal pregnancy group.

bP < .001, compared with the normal pregnancy group.

PP13 concentrations and MoMs across the first trimester 

The week-specific PP13 concentration medians between 8 and 13 weeks of gestation (for each completed week of gestation) in women with a normal pregnancy were 60.25 pg/mL (n = 23), 67.59 pg/mL (n = 46), 167.41 pg/mL (n = 33), 114.33 pg/mL (n = 40), 88.62 pg/mL (n = 49), and 135.00 pg/mL (n = 59), respectively. This pattern fitted a cubic weighted regression model, compared with linear or other weighted regression models.

First-trimester PP13 MoMs in patients with preeclampsia 

Patients with preeclampsia were first studied as 1 group in both models; they had a significantly lower median PP13 MoM than women who had a normal pregnancy (Figure 1). The comparison of the subgroups of preeclampsia with the normal pregnancy group demonstrated the following: (1) in the first model (Table 3A), the median PP13 MoM was significantly lower in patients who subsequently developed preterm preeclampsia, early-onset preeclampsia, and severe preeclampsia at term than in women with a normal pregnancy; and (2) in the second model (Table 3B), only patients who subsequently developed preterm preeclampsia and early-onset preeclampsia had a significantly lower PP13 MoM than women with a normal pregnancy.

  • View full-size image.
  • FIGURE 1. 

    PP13 MoMs according to the study groups

  • The results are based on the first model in which PP13 MoM was adjusted to GA and BMI. The boxplot represents the medians (as a horizontal line within the box), the 25th and 75th quartiles, and the maximum and minimum for each group. Red dots refer to outliers in the right position, and the filled red dot refers to a clipped outlier outside the range of the figure. PE, preeclampsia.

  • Romero. First-trimester PP13 and preterm preeclampsia. Am J Obstet Gynecol 2008.

TABLE 3A. Median first-trimester maternal serum PP13 MoMs according to the study groups adjusted to gestational age and BMI
Study groupsMedian MoMs95% CI for the median MoMsP valuesa
Normal pregnancy (n = 250)1.000.83to1.10Reference value
All preeclampsia (n = 50)0.590.41to0.83<.001
Early-onset preeclampsia (n = 6)0.260.10to0.40.002
Preterm preeclampsia (n = 13)0.240.11to0.40<.001
Severe preeclampsia at term (n = 21)0.650.43to0.85.022
Mild preeclampsia at term (n = 16)0.890.66to1.24.491

Median PP13 MoMs were significantly lower (P < .05) than in the normal pregnancy group for each of the following groups: all preeclampsia, severe preeclampsia at term, preterm preeclampsia, and early-onset preeclampsia. Early-onset preeclampsia cases were included in the preterm preeclampsia group.

Romero. First-trimester PP13 and preterm preeclampsia. Am J Obstet Gynecol 2008.

aP values for the comparison of each study group with the normal pregnancy group.

TABLE 3B. Median first-trimester maternal serum PP13 MoMs according to the study groups adjusted to gestational age, BMI, parity, and maternal age
Study groupsMedian MoMs95% CI for the median MoMsP valuesa
Normal pregnancy (n = 250)1.000.87to1.11Reference value
All preeclampsia (n = 50)0.590.41to0.80<.001
Early-onset preeclampsia (n = 6)0.250.10to0.38.001
Preterm preeclampsia (n = 13)0.220.13to0.38<.001
Severe preeclampsia at term (n = 21)0.730.41to1.03.073
Mild preeclampsia at term (n = 16)0.840.57to1.26.390

Median PP13 MoMs were significantly lower (P < .05) than in the normal pregnancy group for each of the following groups: all preeclampsia, preterm preeclampsia, and early-onset preeclampsia. Early-onset preeclampsia cases were included in the preterm preeclampsia group.

Romero. First-trimester PP13 and preterm preeclampsia. Am J Obstet Gynecol 2008.

aP values for the comparison of each study group with the normal pregnancy group.

Preeclampsia risk assessment by median PP13 MoMs 

ROC curves for PP13 MoMs were generated for all cases of preeclampsia (Figure 2) and the clinical subtypes of preeclampsia (Figures 3, A and B) according to both adjustment models. The diagnostic indices of each model that were generated according to the ROC curves are presented in TABLE 4A, TABLE 4B.

  • View full-size image.
  • FIGURE 2. 

    ROC curve depicting the sensitivity and specificity of PP13 MoM in maternal serum for the identification of all cases of preeclampsia

  • The results are based on the second model in which PP13 MoM was adjusted to GA, BMI, maternal age, and parity.

  • Romero. First-trimester PP13 and preterm preeclampsia. Am J Obstet Gynecol 2008.

  • View full-size image.
  • FIGURE 3. 

    ROC curves depicting the sensitivity and specificity of first trimester maternal serum PP13 MoM for the identification of the different clinical subtypes of preeclampsia

  • A, ROC curves were generated based on the first model in which PP13 MoM was adjusted to GA and BMI. PE, preeclampsia. The diagnostic indices that were generated from these curves are presented in Table 4A. B, ROC curves were generated based on the second model in which PP13 MoM was adjusted to GA, BMI, maternal age, and parity. PE, preeclampsia. The diagnostic indices that were generated from these curves are presented in Table 4B.

  • Romero. First-trimester PP13 and preterm preeclampsia. Am J Obstet Gynecol 2008.

TABLE 4A. Diagnostic indices and AUC of first-trimester maternal serum PP13 MoMs for the subsequent development of preeclampsia after adjustment for gestational age and BMI
Study groupsAUC (95% CI)P valueaSensitivity at 80% specificity (MoM cutoff)Specificity at 80% sensitivity (MoM cutoff)
All preeclampsia (n = 50)0.67(0.60to0.74)<.00134%(0.40)43%(1.12)
Early-onset preeclampsia (n = 6)0.87(0.81to0.93).00283%(0.40)82%(0.33)
Preterm preeclampsia (n = 13)0.86(0.79to0.92)<.00177%(0.40)80%(0.40)
Severe preeclampsia at term (n = 21)0.65(0.55to0.75).02224%(0.40)52%(0.98)
Preterm and term severe preeclampsia combined (n = 34)0.73(0.65to0.81)<.00144%(0.40)55%(0.85)
Mild preeclampsia at term (n = 16)0.55(0.45to0.66).49013%(0.40)39%(1.24)

Early-onset preeclampsia cases were included in the preterm preeclampsia group.

CI, confidence interval.

Romero. First-trimester PP13 and preterm preeclampsia. Am J Obstet Gynecol 2008.

aP values of the AUC were calculated, compared with AUC = 0.5, which is a random prediction.

TABLE 4B. Diagnostic indices and AUC of first-trimester maternal serum PP13 MoMs for the subsequent development of preeclampsia after adjustment for gestational age, BMI, parity, and maternal age
Study groupsAUC (95% CI)P valueaSensitivity at 80% specificity (MoM cutoff)Specificity at 80% sensitivity (MoM cutoff)
All preeclampsia (n=50)0.66(0.5toto0.74)<.00136%(0.39)44%(1.10)
Early-onset preeclampsia (n=6)0.88(0.83to0.93).001100%(0.39)84%(0.31)
Preterm preeclampsia (n=13)0.86(0.79to0.93)<.00185%(0.39)82%(0.38)
Severe preeclampsia at term (n=21)0.62(0.52to0.72).07324%(0.39)40%(1.19)
Preterm and term severe preeclampsia combined (n=34)0.71(0.63to0.79)<.00147%(0.39)49%(1.01)
Mild preeclampsia at term (n=16)0.56(0.45to0.68).38913%(0.39)36%(1.26)

Early-onset preeclampsia cases were included in the preterm preeclampsia group.

CI, confidence interval.

Romero. First-trimester PP13 and preterm preeclampsia. Am J Obstet Gynecol 2008.

aP values of the AUC were calculated, compared with AUC = 0.5, which is a random prediction.

Using the first model, the following results were found: (1) when the specificity was fixed at 80% (20% false-positive rate), the sensitivity was 83% for early-onset preeclampsia, 77% for preterm preeclampsia, 24% for severe preeclampsia at term, and 44% for preterm and term severe preeclampsia combined; and (2) when the sensitivity was fixed at 80%, the specificity was 82% for early-onset preeclampsia, 80% for preterm preeclampsia, 52% for severe preeclampsia at term, and 55% for the latter two combined (Table 4A).

Using the second model, the following results were found: (1) PP13 MoMs had a better sensitivity for early-onset preeclampsia (100%) and preterm preeclampsia (85%) when the specificity was fixed at 80%; however, the changes in other subgroups of preeclampsia were less prominent; and (2) The specificity (at 80% sensitivity) of PP13 MoMs were lower in the subgroups of severe preeclampsia at term, preterm and term severe preeclampsia combined, and mild preeclampsia at term (Table 4B), indicating that the adjustment of a larger number of confounders improve the accuracy only for preeclampsia that develops preterm.

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Comment 

Principal findings of the study 

There were 2 major results of this study. First, the maternal serum concentration of PP13 in the first trimester was significantly lower in patients who subsequently developed early-onset and preterm preeclampsia than in those who had a normal pregnancy outcome; second, maternal serum concentrations of PP13 may be of use in the risk assessment for preterm preeclampsia. And lastly, the first-trimester serum concentrations of PP13 did not identify women who will develop mild preeclampsia at term.

PP13 (galectin-13): structure, function, and localization 

PP13 was first isolated and cloned from human term placenta.89, 90 The protein was mainly found as a homodimer of 16 kDa subunits linked by disulfide bonds.89, 90, 91, 94 PP13 has been designated as galectin-13 because of its conserved structural homology and carbohydrate-recognition domain as well as its ability to bind sugars resembling members of the galectin family.93, 94 The protein demonstrated endogenous lysophospholipase activity91, 94 and can elicit, through influx of calcium ions, depolarization of trophoblasts as well as liberation of linoleic and arachidonic acids from the trophoblast membrane.92

PP13 is a soluble protein that can be externalized to the cell surface by nonclassical pathways, although it lacks a transmembrane domain and a transport signal.94 It is predominantly expressed by the placenta, specifically the syncytiotrophoblast, in which it is localized on the brush-border membrane at the maternal-fetal interface.94, 95 In addition to its detection in maternal serum, PP13 has been isolated from fetal serum and amniotic fluid.92

Maternal serum PP13 and adverse pregnancy outcome 

Two previous studies examined the potential value of maternal serum PP13 in the risk assessment for preeclampsia in the first trimester.96, 97 Nicolaides et al96 reported a case-control study indicating that patients who developed preeclampsia requiring delivery before 34 weeks of gestation had a lower median PP13 serum concentration expressed in MoMs than those who had a normal delivery at term (MoM: 0.07; P < .001). Moreover, the information derived from maternal serum PP13 concentrations could be combined with the results of uterine artery Doppler velocimetry in the first trimester to estimate the risk for the subsequent development of preeclampsia requiring delivery before 34 weeks. The combination could accomplish a detection rate of 90% with a false-positive rate of 6%.96 Spencer et al97 reported the results of a nested case-control study that examined the value of PP13 combined with second-trimester Doppler velocimetry of the uterine arteries in the prediction of early-onset preeclampsia (delivery prior to 35 weeks). The median PP13 concentrations as well as MoMs were significantly lower in patients who subsequently developed early-onset preeclampsia than in those in the control group. However, second-trimester Doppler velocimetry did not add significant information to that provided by PP13.97

Therefore, there are now 3 studies indicating that patients who subsequently develop early-onset preeclampsia have lower maternal serum concentrations of PP13 in early pregnancy. The sensitivity and specificity reported by Spencer et al97 were lower than those reported by Nicolaides et al.96 Our results are in keeping with those reported by Nicolaides et al.

The prevalence of preterm preeclampsia in the general population is very low,16, 102 resulting in a low positive predictive value for first-trimester PP13 concentrations. Therefore, the combination of PP13 with other biomarkers or first- and/or second-trimester ultrasound measurements could increase its positive predictive value. In fact, this approach has been used for not only PP1396, 97 but also the combination of maternal plasma placenta growth factor with abnormal uterine artery Doppler velocimetry in the second trimester.16

Previous investigations studied patients from other ethnic groups. For example, 30% of patients with preeclampsia in 1 study were Caucasian,96 whereas in another study, this proportion was 86%.97 Our findings suggest that PP13 performs well in a Hispanic population.

Potential mechanisms for a reduction in maternal serum PP13 concentration in patients destined to develop preeclampsia 

The expression of PP13 is down-regulated in the placentas of patients with preterm preeclampsia.95 However, the mechanisms responsible for this have not been determined. Because the syncytiotrophoblast is in direct contact with the maternal blood, it is tempting to speculate that a deficient production of PP13 may account for the lower maternal serum concentration of this protein in patients destined to develop preeclampsia. Because the lower concentration of PP13 is observed in the first trimester of pregnancy,96, 97 months before the development of clinical disease, this suggests that the decreased concentration in maternal blood is not the consequence of the disease.

Strengths and limitations 

The strength of this study is that it provides evidence that a low concentration of PP13 in the first trimester is a risk factor for preterm preeclampsia and severe preeclampsia at term. These data have been generated in a different ethnic group from those studied in the past.96, 97 The limitations of this study are those inherent to any case-control study, namely the potential for biases and the inability to calculate predictive values.

The relatively high interassay CV for PP13 (19.5%) could be attributed to the very low maternal serum concentrations of PP13 (at the picogram range). This is challenging for the detection accuracy of an ELISA method. To improve the test accuracy, a new amplification method for the PP13 ELISA is currently being developed to replace the use of the biotin-avidin-horseradish peroxidase amplification system with other amplification methods, such as with the use of lanthanides.

A considerable source of variability for serum markers, such as PP13, whose concentrations change with gestation, is the inaccuracy in dating the pregnancy. When gestational age is estimated by ultrasound biometry, this source of variability is reduced, and as a consequence, there is less overlap in the distribution of marker concentrations in MoMs between affected and unaffected pregnancies. In the present study, gestational age was largely based on menstrual dates. Thus, the observed discriminatory power of PP13 in the detection of preeclampsia is likely to have underestimated the true performance. However, in both this study and previous studies in which gestational age was based on a sonographic fetal biometry,96, 97 the overlap in serum PP13 concentrations between preeclampsia and unaffected pregnancies was small. Therefore, any improvement brought about by more precise dating is probably marginal.

Future investigation 

A large cohort study is required to determine whether the observations reported from nested case-control studies can be replicated in a large population and whether the likelihood ratios are such that PP13 determinations in early pregnancy can contribute to the risk assessment for preeclampsia. The identification of an analyte that changes in the first trimester of pregnancy in patients destined to develop preeclampsia is attractive because it offers an early opportunity for intervention.

Future studies are required to determine the factors responsible for deficient production of PP13 in the placentas of patients who subsequently develop preeclampsia and the consequences of reduced PP13 bioavailability. Moreover, Nicolaides et al96 and Spencer et al97 reported the value of maternal serum PP13 measurements combined with Doppler sonography for the risk assessment for preeclampsia. Furthermore, a recent study103 has indicated benefit for sequential testing with PP13, suggesting that a prospective study that will combine first-trimester PP13 with other analytes and sonographic findings may be of value in the assessment of risk for the development of preeclampsia.

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Acknowledgment 

The authors are grateful to the patients and the nursing staff of the Sótero del Río Hospital for their valuable involvement in this study.

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 Cite this article as: Romero R, Kusanovic JP, Than NG, et al. First-trimester maternal serum PP13 in the risk assessment for preeclampsia. Am J Obstet Gynecol 2008;199:122.e1-122.e11.

 This research was supported, in part, by the Intramural Research Program of the National Institute of Child Health and Human Development, Eunice Kennedy Shriver National Institutes of Health, Department of Health and Human Services, and Grants 31851 and 42872 from Israel Chief Scientist (to H.M.).

PII: S0002-9378(08)00028-8

doi:10.1016/j.ajog.2008.01.013

American Journal of Obstetrics & Gynecology
Volume 199, Issue 2 , Pages 122.e1-122.e11, August 2008

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