Circulating heat shock protein 27 (HSPB1) levels in prediction of pre-eclampsia: A pilot study

OBJECTIVE

To determine whether circulating heat shock proteins HSP27/HSPB1 and HSP90α/HSPC1 may be useful for early prediction of the occurrence of pre-eclampsia in asymptomatic women.

METHODS

We have measured by ELISA the levels of HSPB1, HSPC1, and placental protein 13 (PP13) in serum samples from 44 women in the first trimester (10-12 weeks) and second trimester (17-20 weeks) of pregnancy. Western blot and immunohistochemistry for HSPB1 and HSPC1 were performed.

RESULTS

HSPB1 serum levels were higher in women with pre-eclampsia than in normotensive pregnant women at the first and second trimester (P = 0.003), whereas PP13 levels decreased in women with pre-eclampsia only in the first trimester of gestation (P = 0.021). We also observed higher HSPB1 levels in patients with early-onset pre-eclampsia in the first and second trimester (P = 0.014).

CONCLUSION

This pilot study points out that circulating HSPB1 levels in first and second trimester might be useful for predicting the occurrence of pre-eclampsia in asymptomatic women. Further validation studies are needed to finally establish this protein as a candidate predictive biomarker of pre-eclampsia.

Placental Protein 13 (Galectin-13) Polarizes Neutrophils Toward an Immune Regulatory Phenotype

Termed as galectin-13, placental protein 13 (PP13) is exclusively expressed in the placenta of anthropoid primates. Research on PP13 in normal and pathologic pregnancies show alteration of PP13 concentrations in pregnancy affected by preeclampsia or gestational diabetes. Galectins are also described as potent immunomodulators, and PP13 regulates T cell function in the placenta. Therefore, this study aims to investigate the effects of PP13 on neutrophils; a cell type often ignored in pregnancy, but present in the uterus and placenta from the early stages of pregnancy. Since neutrophil function is dysregulated during pathologic pregnancies, a link between PP13 and neutrophil activity is possible. We determined that PP13 reduces the apoptosis rate in neutrophils. Also, PP13 increases the expression of PD-L1 and production of HGF, TNF-α, reactive oxygen species (ROS), and MMP-9 in these cells. This phenotype resembles one observed in permissive tumor neutrophils; able to sustain tissue and vessel growth, and inhibit T cell activation. At the same time, PP13 does not alter all neutrophil functions, i.e., extrusion of neutrophil extracellular traps, degranulation, phagocytosis, and ROS production following bacterial exposure. PP13 seems to play an essential role in regulating the activity of neutrophils in the placenta by polarizing them toward a placental-growth-permissive phenotype.

Screening for fetal growth restriction using fetal biometry combined with maternal biomarkers

Fetal growth restriction is a major determinant of perinatal morbidity and mortality. Screening for fetal growth restriction is a key element of prenatal care but it is recognized to be problematic. Screening using clinical risk assessment and targeting ultrasound to high-risk women is the standard of care in the United States and United Kingdom, but the approach is known to have low sensitivity. Systematic reviews of randomized controlled trials do not demonstrate any benefit from universal ultrasound screening for fetal growth restriction in the third trimester, but the evidence base is not strong. Implementation of universal ultrasound screening in low-risk women in France failed to reduce the risk of complications among small-for-gestational-age infants but did appear to cause iatrogenic harm to false positives. One strategy to making progress is to improve screening by developing more sensitive and specific tests with the key goal of differentiating between healthy small fetuses and those that are small through fetal growth restriction. As abnormal placentation is thought to be the major cause of fetal growth restriction, one approach is to combine fetal biometry with an indicator of placental dysfunction. In the past, these indicators were generally ultrasonic measurements, such as Doppler flow velocimetry of the uteroplacental circulation. However, another promising approach is to combine ultrasonic suspicion of small-for-gestational-age infant with a blood test indicating placental dysfunction. Thus far, much of the research on maternal serum biomarkers for fetal growth restriction has involved the secondary analysis of tests performed for other indications, such as fetal aneuploidies. An exemplar of this is pregnancy-associated plasma protein A. This blood test is performed primarily to assess the risk of Down syndrome, but women with low first-trimester levels are now serially scanned in later pregnancy due to associations with placental causes of stillbirth, including fetal growth restriction. The development of "omic" technologies presents a huge opportunity to identify novel biomarkers for fetal growth restriction. The hope is that when such markers are measured alongside ultrasonic fetal biometry, the combination would have strong predictive power for fetal growth restriction and its related complications. However, a series of important methodological considerations in assessing the diagnostic effectiveness of new tests will have to be addressed. The challenge thereafter will be to identify novel disease-modifying interventions, which are the essential partner to an effective screening test to achieve clinically effective population-based screening.

Placental growth factor and placental protein 13 in patients with Balkan endemic nephropathy, a worldwide disease

BACKGROUND

Balkan endemic nephropathy (BEN) is a chronic tubulointerstitial kidney disease occurring in people living in along the tributaries of the Danube River. The aim of the study was to determine serum level and urinary excretion of placental growth factor (PlGF) and placental protein 13 (PP13) in patients with BEN.

METHODS

Thirty patients with BEN from the South Morava River region of Serbia and 18 controls were studied. Age of patients was 74 yr (53-87) and 73 yr (66-83) in controls.

RESULTS

In patients with BEN, serum creatinine was significantly higher than in controls (129.7 vs. 83.2 µmol/L, respectively), but GFR was lower in patients than in controls (40.7 vs. 54.6 mL/min). Serum PlGF was significantly higher in BEN patients than in controls (9.90 vs. 6.80 pg/mL), urinary excretion being significantly lower in patients (0.20 vs. 0.90 pg/mmol creat.). Serum PP13 was significantly lower in BEN patients (208.2 vs. 291.0 pg/mL). Urinary excretion of PP13 was also significantly lower in BEN patients than in controls (32.5 vs. 182.5 pg/mmol creat). In multivariate regression analysis BEN, sex and age were significant determinants of the observed changes in PlGF and PP13.

CONCLUSION

Important changes of PlGF and PP13 in patients with BEN were demonstrated, where kidney disease, female sex, and the age have been significant determinants.

Pulsatility index in combination with biomarkers or mean arterial pressure for the prediction of pre-eclampsia: Systematic literature review and meta-analysis

INTRODUCTION

Our objective was to perform a meta-analysis examining the sensitivity of pulsatility index (PI) and various biomarkers and PI and mean arterial pressure (MAP) for the prediction of pre-eclampsia.

MATERIAL AND METHODS

PubMed, CENTRAL, and Embase databases were searched from inception until 8 May 2014 using combinations of the search terms: pre-eclampsia, ultrasonography, pregnancy, biomarker, mean arterial pressure, placental protein 13, pregnancy-associated plasma protein-A, placental growth factor, activin A, inhibin A, pulsatility index. The pooled sensitivity of PI + biomarkers and PI + MAP were calculated, and reported with corresponding 95% confidence intervals (CIs).

RESULTS

Fifteen studies were included in the meta-analysis. The pooled sensitivity of all biomarkers for the prediction of pre-eclampsia was 0.669 (95% CI 0.610-0.723), for the prediction of early-onset pre-eclampsia was 0.830 (95% CI 0.794-0.861), and for the prediction of late-onset pre-eclampsia was 0.564 (95% CI 0.499-0.627). Similarly, the predictive ability of PI + MAP for early-onset pre-eclampsia was good (sensitivity 0.894), while that for late-onset was poor (sensitivity 0.570).

CONCLUSION

The combination of PI and different biomarkers or MAP exhibits a good predictive ability for early-onset pre-eclampsia, and poor predictive ability for late-onset pre-eclampsia.