Open Access

Proteomic analysis of human placental syncytiotrophoblast microvesicles in preeclampsia

  • Sonia Baig1,
  • Narasimhan Kothandaraman1,
  • Jayapal Manikandan1,
  • Li Rong3,
  • Kim Huey EE3,
  • Jeffrey Hill3,
  • Chin Wee Lai1,
  • Wan Yu Tan1,
  • Felicia Yeoh1,
  • Anita Kale1,
  • Lin Lin Su1,
  • Arijit Biswas1,
  • Sheila Vasoo2 and
  • Mahesh Choolani1Email author
Clinical Proteomics201411:40

https://doi.org/10.1186/1559-0275-11-40

Received: 22 January 2014

Accepted: 29 October 2014

Published: 19 November 2014

Abstract

Background

Placental syncytiotrophoblast microvesicles (STBM) are shed into the maternal circulation during normal pregnancy. STBM circulate in significantly increased amounts in preeclampsia (PE) and are considered to be among contributors to the exaggerated proinflammatory, procoagulant state of PE. However, protein composition of STBM in normal pregnancy and PE remains unknown. We therefore sought to determine the protein components of STBM and whether STBM protein expressions differ in preeclamptic and normal pregnancies.

Patients with PE (n = 3) and normal pregnant controls (n = 6) were recruited. STBM were prepared from placental explant culture supernatant. STBM proteins were analyzed by a combination of 1D Gel-LC-MS/MS. Protein expressions levels were quantified using spectral counts and validated by immunohistochemistry.

Results

Over 400 proteins were identified in the STBM samples. Among these, 25 proteins were found to be differentially expressed in preeclampsia compared to healthy pregnant controls, including integrins, annexins and histones.

Conclusion

STBM proteins include those that are implicated in immune response, coagulation, oxidative stress, apoptosis as well as lipid metabolism pathways. Differential protein expressions of STBM suggest their pathophysiological relevance in PE.

Keywords

Placental microvesicles Pregnancy Preeclampsia Proteome

Background

Microvesicles and exosomes are small (<1 μm) membrane-bound structures generated by cells after activation or apoptosis. They are important vehicles of intercellular communication carrying membrane, cytosolic and nuclear proteins, lipids, messenger RNAs and microRNAs[14]. Human placental syncytiotrophoblast microvesicles (STBM) are shed into the maternal circulation in normal pregnancy and are significantly increased in preeclampsia (PE)[5]. STBM are proinflammatory[68], procoagulant[9], and anti-angiogenic[10, 11] in normal pregnancy. Some of these characteristics are known to be exaggerated in (PE)[9, 10]; however the basis of pathogenicity of preeclamptic STBM is yet to be elucidated.

Proteomes of microvesicles derived from platelets, plasma, malignant lymphocytes, endothelial cells, dendritic cells, mast cells, and intestinal epithelial cells have been published[1218]. Broadly, microvesicle proteins are either ubiquitous or specific to cells of origin. Ubiquitous proteins are most likely involved in microvesicle biogenesis. Examples include tetraspanins (CD9, CD63, CD81 and CD82), heat shock proteins (HSP70, HSP90), cytoskeletal proteins (tubulin, actin, actin binding proteins), metabolic enzymes, membrane transport and fusion proteins (annexins and RAB proteins), signal transduction proteins (protein kinases, 14-3-3, G proteins), integrins and MHC class I and II molecules[19]. Examples of cell-specific proteins include MHC class II in exosomes from all cells expressing MHC class II, CD 86 from DC-derived exosomes (a co-stimulatory molecule for T cells), T-cell receptors for T-cell derived exosomes, and immunoglobulin family members (CD54 on B cells, P-selectin on platelets). In contrast to exosomes, microvesicles released by apoptotic cells do contain nuclear and organeller proteins, DNA, messenger and microRNA. Both exosomes and microvesicles may provide unconventional routes of protein secretion[20].

Multiple pathophysiologic factors are implicated in adverse pregnancy outcomes such as PE, including maternal immune maladaptation to the feto-placental unit, excessive fetal trophoblast apoptosis, and increased shedding of trophoblast debris. These result in increased systemic inflammatory response, haemostatic activation, endothelial dysfunction, and metabolic changes[21]. Defective trophoblast invasion resulting in abnormal uteroplacental perfusion and oxidative stress in PE may result in qualitative and subsequent functional changes in STBM. Quantitative changes in serum, placental and decidual lipid and protein oxidation products and anti-oxidant concentrations are significantly associated with PE[22]. Proteomic analyses of normal and PE placentas[23], syncytiotrophoblasts[24], cytotrophoblasts[2527], deciduas[28], and plasmas[29, 30] have been previously reported. While the role of placenta in PE is a vibrant area of research, the important question of why STBM from preeclamptic placenta may have pro-inflammatory and hypertensive effects on the maternal systemic vasculature remain unanswered. In particular, proteins of placental STBM in normal and preeclamptic pregnancy have not been determined yet.

We hypothesized that STBM proteins are differentially expressed in PE compared to normal pregnancies. Our objectives were to determine protein and peptide components of STBM that can incite pathogenic responses in pregnancy complications and explore whether these STBM protein expressions differ in pathologic (i.e., PE) and normal pregnancies. As opposed to earlier studies which employed 2D PAGE and MALDI TOF/TOF[23, 31], and 2D DIGE[29], we used 1D Gel-LC-MS/MS approach to improve sensitivity[30]. Also, the current study aimed to investigate protein composition of placental microvesicles in health and disease which has not been reported to date.

Results

Subject characteristics

We studied 3 pregnant women complicated with PE and 6 healthy normal gestational age-matched pregnant women. The clinical characteristics of women and maternal and neonatal outcomes are summarized in Table 1. The patients underwent caesarean section or vaginal delivery at gestational age >34 weeks with live births.
Table 1

Maternal and fetal outcomes

 

PE (n = 3)

Normal controls (n = 6)

maternal age (y)

31.[2.16]a

36.33[5.28]

Gestational age (w)

36.09[0.95]

36.38[1.56]

SBP (mm Hg)

173.25[31]***

116.25[15.31]

DBP (mm Hg)

109.5[13.2]***

76.5[5.58]

Proteinuria (g/24/h)

1.14[0.57]

-

Infant birth wt (g)

2658[792.02]

2722.5[434.79]

Placental wt (g)

508.33[79.74]

526.80[94.17]

aResults are mean [SD], comprarisons using Student’s test (patient group, ie, PE versus normal pregnant controls), P<0.0001***.

STBM characterization

STBM characterization data are summarized in Additional file1: Figure S1. H/E and immunofluorescent (PLAP) staining of placental villous explants demonstrated the syncytiotrophoblast layer (Additional file1: Figure S1- A & B). Scanning electron microscopy demonstrated expected size of STBM (Additional file1: Figure S1- C). Nanoparticle tracking analysis[32] showed STBM size distribution to be between 30–300 nm with a peak around 100 nm (Additional file1: Figure S1- D).

Identification of STBM proteins by 1D Gel-LC-MS/MS

Representative 1D gels are shown in Figure 1. After in-gel digestion, the tryptic peptides of each gel slice were analyzed by LC-MS/MS. Over 400 STBM proteins were identified (Additional file2: Table S1). Proteins were designated as hits only when there were at least 2 unique peptides matches and Protein Identification Probability value of >95%. Spectral counts were used to quantify expression level of proteins in the whole lane.
Figure 1

Representative 1-D SDS PAGE gel images of protein extracts from STBM. Lane 1: molecular weight marker. Lanes 2, 3 & 4: Normal STBM. Lanes 5, 6 & 7: PE (preeclampsia) STBM. Loading Volume: 20 uL per lane (~50 ug of proteins).

Identification of differentially expressed STBM proteins in adverse pregnancies and healthy controls

We identified 25 STBM proteins to be differentially expressed between preeclamptic and normal pregnancies, listed in Table 2; notable among them are annexins, integrins, histones, heat shock proteins, complement regulatory proteins, cytoskeletal proteins, and various enzymes. Histones, integrins and CD59 glycoprotein were downregulated while the remaining were upregulated in preeclampsia. The Cellular components of STBM proteins are summarized in Additional file3: Figure S2.
Table 2

Differential protein expressions in STBM isolated from patients with PE (n = 3) versus that from pregnant controls (n = 6)

aProtein name

Symbol

Accession number

Molecular weight

bMean PE

cSEM PE

Mean NP

SEM NP

p-value

isoform 1 of Annex in A2

ANXA2

IPI004553 15

39 kDa

-

-

66.32

16.12

-

isoform 2 of Annex in A2

ANXA2

IPI00418169

40 kDa

94.32

13.51

-

-

-

annex in A4

ANXA4

IPI00793199

36 kDa

109.78

24.56

47.36

9.72

0.0227

Histone H 14

HST1HiE

IPI00217467

22 kDa

-

-

23.84

4.47

-

Histone 1.5

HST1H1B

IPI00217468

23 kDa

-

-

6.56

169

-

Isoform 1 of Intergrin alpha-V

ITGAV

IPI00027505

116 kDa

-

-

25.60

4.02

-

Isoform Beta-1A of Intergrin beta-1

ITGB 1

IPI00217563

88 kDa

4.24

4.24

19.15

3.43

0.0353

Glyceraldehyde-3-phospahte dehydrogenase

GAPDH

IPI00219018

36 kDa

51.76

22.95

9.48

3.18

0.0312

Heat schock protein beta-1

HSPB

IPI00025512

23 kDa

13.54

6.24

2.85

0.76

0.0398

Isoform 1 of Heat shock cognate 71 kDa protein

HSPA8

IPI00003865

71 kDa

10.31

3.99

1.97

0.67

0.0202

14-3-3 protein epsillon

YWHAE

IPI00000816

29 kDa

11.18

3.17

-

-

-

Actin, cytoplasmic 1

ACTB

IPI00021439

42 kDa

35.21

13.53

-

-

-

ADP-ribosylation factor 1

ARF 1

IPI00215914

21 kDa

6.72

2.60

-

-

-

Alpha-actinin-1

ACTN 1

IPI00013508

103 kDa

21.58

1.97

-

-

-

CD59 glycoprotein

CD59

IPI00011302

14 kDa

-

-

9.61

2.11

-

EF-hand domain-containing protein D1

EFHD1

IPI00031091

27 kDa

5.87

3.48

-

-

-

Ezrin

EZR

IPI00843975

69 kDa

40.30

15.01

1.17

0.98

0.0056

HSPA5 protein

HSPA 5

IPI00003362

72 k Da

10.80

3.96

-

-

-

Isoform 1 of Brain acid soluble protein 1

BASP1

IPI00299024

23 kDa

15.57

4.32

6.29

1.54

0.0373

Isoform alpha-enolase of Alpha-eno lase

EN01

IPI00465248

47 kDa

12.22

6.22

1.96

0.69

0.0446

Isoform M2 of Pyruvate Kinase Isozymes Mv M2

PKM

IPI00479186

58 kDa

7.45

4.15

-

-

-

Transketo lase

TKT

IPI00643920

69 kDa

9.67

4.49

1.33

0.95

0.0374

Tubullin alpha-1C cahin

TUBA 1C

IPI00218343

50 kDa

10.24

4.47

0.33

0.33

0.0125

Tubullin beta-2C cahin

TUBB4B

IPI00007752

50 kDa

5.98

3.10

-

-

-

dTubullin, beta

TUBB

IPI00645452

48 kDa

6.13

3.89

-

-

-

aOnly proteins with a fold change >2 or <0.5 and p-value <0.05 or expressed only in one group (either PE or NP) are listed.

bNumbers represent total spectral from all the peptides of a given protein.

cResults are mean and standard error of mean (SEM), comparisons using t test between patients with preciamsia (PE n = 3) versus that from normal pregnant conrols (NP, n = 6).

dFor complete list of all STBM proteins see Additional file4: Table S2 in Supplementary data.

Validation of proteomics results by immunohistochemistry (IHC) analysis

IHC analysis of fixed and paraffin-embedded placental villous explants for validation of LC-MS/MS-based STBM-proteomics data confirmed the presence of selected STBM proteins in the syncytiotrophoblast layer at periphery while negative controls showed no signals (Additional file4: Table S2, Additional file5: Figure S3). Statistically non-significant trends towards downregulation of these proteins, namely, histones, annexins, and integrins, could be observed (Additional file6: Figure S4).

Functional and pathway analysis

Ingenuity Pathways Analysis (IPA) of statistically differentially expressed dataset containing 25 unique STBM proteins identified the significant biological functions and pathways. The major biological functions of STBM proteins include cell death and survival, cellular assembly and organization, immune response, lipid metabolism, and carbohydrate metabolism (Figure 2, Additional file7: Table S3). The major canonical pathways include signaling associated with glycolysis, inter-cellular junctions, integrins, endothelial dysfunction (VEGF), immune response (NF-kB and complement system) and protein ubiquitination (Figure 2, Additional file8: Table S4).
Figure 2

Proposed biological network of differentially expressed proteins. Using Ingenuity Pathways Analysis software (IPA), selected differentially expressed proteins were utilized to build a biological network based on previously reported interactions in the literature. The expression levels of proteins were overlaid on to the network. Molecules colored with red denote upregulation and green denotes downregulation. Finally, canonical pathways and functions were mapped on the existing network. CP: Canonical Pathway; FX: Functions.

Discussion

We sought to determine the protein composition of STBM using 1D gel-LC-MS/MS approach to gain an insight into the pathophysiologic changes of PE. To our knowledge this study is the first report of STBM proteome in PE in comparison to that of normal healthy pregnancies.

Twenty five proteins were found to be differentially expressed between STBM derived from women with PE compared to healthy controls, including annexins, integrins, histones, and heat shock proteins. The annexins are calcium dependent-phospholipid binding proteins involved in various functions including signal transduction, stress response, inflammation, coagulation, apoptosis and lipid metabolism. Annexin A2 has been proposed to function inside the cell in sorting of endosomes and outside the cell in anticoagulant reactions[33]. The upregulation of anti-apoptosis proteins in PE STBM, such as annexin A4 (2-fold change, p < 0.05)[34], can be explained by increased apoptotic activity of the placental syncytiotrophoblasts in PE which would trigger the generation of anti-apoptotic proteins in an attempt to counteract pro-inflammatory molecules such that homeostasis is achieved. Glyceraldehyde-3-phosphate dehydrogenase, a component of glycolytic pathway, has important functional relevance in anaerobic glycolysis in trophoblasts enriched in glycogen. Its increased expression in PE STBM (5-fold change, p < 0.05) could be associated with oxidative stress that exists in these adverse pregnancies[35, 36]. Reduced expression of complement regulatory protein such as CD59 could be observed, suggestive of a possible role of STBM in hemostatic activation, as well as regulation[37]. Collectively all these protein expressions possibly depict the syncytiotrophoblast response at the maternal-fetal interface to underlying pregnancy pathology in PE.

Integrin signaling has an important role in trophoblast invasion and vasculature remodeling[3840]. Its down regulation in PE STBM may be associated with shallow trophoblast invasion and defective placental vasculature in PE. Ezrin is involved in cell surface structure adhesion, migration and organization[41, 42]. A trend towards increased expression of proteins such as 14-3-3 proteins, annexins and heat shock proteins may represent a protective response to tissue injury in pathologic pregnancies[43].

Major functions of histones include DNA binding, DNA repair and transcriptional regulation[44]. The unique finding of downregulation of histones in PE STBM, in this study (0.1 to 0.3-fold change, p < 0.05), may be suggestive of defective DNA repair, increase in damaged DNA and raised inflammatory response in adverse pregnancies.

Interestingly, we found that STBM proteins include endogenous danger molecules or alarmins which may render them intensely pro-inflammatory such as extracellular free actins, tubulins, and heat shock proteins[3]. This supports the currently emerging role of STBM as contributors to the pro-inflammatory state of PE.

Future biomarker discovery work will include validation of biomarker potentials of differentially expressed proteins in patients’ plasma. We acknowledge the limitations of using the label-free method and spectral counts in demonstrating the true representation of differential expression of low abundance proteins. Confirmation of the proteins found to be differentially expressed in this study needs to be carried out with isotope-encoded peptides corresponding to the tryptic peptides of the selected proteins. This will help determine absolute concentration of targeted proteins.

Conclusions

The present study suggests that the biological pathways associated with PE may include immune response, coagulation, endothelial dysfunction as well as lipid metabolism. We have recently reported differential lipid expressions in STBM from the same cohort of patients[45]. While previous evidence for increased activation of hemostasis and endothelial dysfunction exists, the concept and proposed roles of immune-dysregulation and lipid metabolism in pathophysiology of adverse pregnancies are novel and yet to be established. Our findings are consistent with recent reports on PE pregnancy sera[29, 30], demonstrating pro-inflammatory and lipid-regulatory protein expressions, besides those involved in hemostasis and endothelial dysfunction. Targeting these novel pathways may offer newer strategies of management of adverse pregnancies.

Methods

Subjects and sample collection

The study subjects were patients with PE. PE was defined as increased blood pressure (≥140/90 mm Hg) that occurred after 20 wks of gestation in previously normotensive women accompanied with proteinuria of ≥0.3 g/day. The controls were gestational age-matched (within 2 gestational weeks) healthy subjects with no pregnancy complications. Placental samples were collected at the time of delivery and processed within 2 hours. All samples were collected from the National University Hospital affiliated to the National University of Singapore, Singapore. The research protocol was approved by the Domain Specific Review Board.

5.2 Placental microvesicle (STBM) preparation and characterization

Placental villous tissue (~2 gm) was cut into small pieces (2–4) mm3 and rinsed in PBS until blood less. Explants were cultured in 100 mm culture dishes in DMEM-F12 culture medium, supplemented with 1% antimycotic/antibiotics and 10% heat-inactivated fetal bovine serum, for generation of STBM at 37°C in 8% oxygen in the hypoxic incubator (Galaxy 48R CO2 incubator with O2 control 0.1 to 19% range). Prior to addition to the culture media, the heat-inactivated fetal bovine serum was centrifuged at 100 000 g for 60 min for removal of microvesicles in serum. At the end of 72 hours culture period, the supernatant was collected followed by differential centrifugation for isolation of STBM.

Culture supernatant was subjected to a three-step centrifugation at 4°C - 1000 g for 10 min (separation of whole cells), 10,000 g for 10 min (separation of large cellular organelles, such as mitochondria, golgi, ER, etc.) and finally, 100 000 g for 60 min (for collecting subcellular membrane microvesicles). The final pellet was collected, washed in sterile PBS and resuspended in 0.5 ml sterile PBS and stored at -20°C until use. The protein content in each STBM preparation was quantified with Bradford assay (Pierce, Rockford, IL). Typical STBM preparations yielded 0.2-0.4 mg/ml vesicles. STBM size and number in sample was determined by Nanoparticle Tracking Analysis (NTA) method (Dragovic et al.[32]). Finally STBM samples were subjected to evaluation scanning electron microscopy (SEM). Additional 48 hr culture of aliquots of explant culture supernatants was carried out prior to STBM isolation to confirm the absence of bacterial growth and endotoxin contamination.

Protein separation, in-gel digestion and LC-MS/MS analysis

The STBM samples prepared from placental explant culture supernatant were pelleted down. STBM pellets were then resuspended in RIPA lysis buffer (Pierce, Rockford, IL), homogenized by vortexing and lysed on ice for 30 minutes. The sample was centrifuged at 14,000 g for 15 minutes at 4°C and the supernatant (lysate) was collected.

The protein lysate derived from the STBM was then subjected to precipitation overnight at -20°C after addition of five volumes of pre-cooled acetone. Protein precipitation was followed by reduction with 10 mM dithiothreitol (DTT) and alkylation with 20 mM iodoacetamide (IAA). The protein content in each STBM preparation was quantified with Bradford assay (Pierce, Rockford, IL). Proteins (~50 μg) were separated on a 10.5-14% Tris–HCl SDS-gel (BIO-RAD) and stained with PageBlue™ protein staining solution (Fermentas) containing Coomassie Brilliant Blue G-250 dye. 1D SDS-PAGE system (BIO-RAD) was used to separate the protein lysate derived from STBM.

Each lane in gel was finely cut into 13 slices, transferred into a 96 wells plate with hole and in-gel digestion was performed as follows. First, destaining was performed by the addition of 100 ul of 100 mM TEAB/EtOH (1:1, vol/vol) and incubated with occasional vortexing for 60 min at 56°C, followed by addition of 100 ul of neat acetonitrile and incubation at room temperature with occasional vortexing, until gel pieces became white and dried. Then acetonitrile was removed. Buffer containing trypsin (20 ng/ul) was added in an amount to cover the dry gel pieces (typically, 50 ul or more, depending on the volume of a gel matrix) and left in an ice bucket or a fridge about 15 min. After 15 min, it was checked if all solution was absorbed and more trypsin containing buffer was added, if necessary. After full rehydration the remaining trypsin buffer was spun out, then 10–20 ul of 10 mM TEAB buffer was added to cover the gel pieces and keep them wet during enzymatic cleavage. Plate with gel pieces was placed into an air circulation thermostat and samples were incubated overnight at 37°C. Plate was chilled to room temperature and 5 ul 5%formic acid (FA) was added to stop digestion. Solution was spun down into new 96 wells collection plate using a plate centrifuge followed by addition of 50 ul 1%FA twice and 50 ul of 1:2(vol/vol) 0.1% formic acid/acetonitrile to extract peptide from gel. 300 ul aliquots of the supernatant directly from the digest extracted from the gel pieces was used for the subsequent MS/MS analysis. Samples were freeze-dried and the dried protein film was then reconstituted in formic acid prior to analysis by mass spectrometry.

For LC MS/MS analysis, 10 ul of 0.1% (vol/vol) formic acid was added into each well to resuspend peptides. 5 ul sample was injected to Agilent 6538 chip LCMSMS system for analysis after separation by Agilent 1200 LC system, using a 1D nano -LC setup consisting of a capillary pump for loading the sample (operated at 4 uL/min) onto 1.0-cm trap column and a nano pump (operated at 300 nL/min) for the separation on the analytical column. 100% water with 0.1% formic acid was used as solvent A and 100% Acetonitrile with 0.1% formic acid was used as solvent B. The peptides were eluted from the precolumn using a gradient from 95% phase A (0.1% FA aqueous solution) to 45% phase B (0.1% FA, 100% acetonitrile) in 60 min at 300 nl/ min directly onto an analytical column (50-um inner diameter, 360-um outer diameter, ReproSil-Pur C18 5um). The instrument was operated in a data-dependent mode automatically switching between MS, MS2. Acquisition was set to automatically select and further fragment the fragment ion originating from the loss of phosphoric acid from the parent ions (standard pdMS2 settings).

LC-MS/MS data processing and quantitative analysis

Generated mass spectral data were analyzed using Mascot sequence matching software (Matrix Science). General search parameters used were: Enzyme, Trypsin; Maximum of 2 missed cleavages; Fixed modifications, Carbamidomethyl (C); Variable modifications, Oxidation (M), Deamidated (NQ), Phospho (STY), Acetyl (K); Peptide tolerance range ±100 ppm; and MS/MS tolerance range, ±0.6 Da. Data import filters used were Mascot Distiller (Matrix Science). Analyzed database-search results (.dat) from Mascot were uploaded onto Scaffold interface. Result files were categorized and named according to sample type or nature. Multidimensional protein identification technology (MuDPIT) experiment and condensation of loaded data were selected. Proteins were designated as hits only when there were at least 2 unique peptides matches and Protein Identification Probability value of >95%.

The quantitation of protein expressions by spectral counts for each identified proteins (defined as total spectral counts for all the peptides of a given protein) was carried out using Scaffold program (Proteome Software, version 4). Only proteins with spectral counts ≥5 and a ratio of spectral counts between two groups (patients and normal controls) of >2 or <0.5 were tested further by t-test and validation by immunohistochemistry.

Immunohistochemistry (IHC)

Villous explants were fixed and paraffin-embedded. Tissue microarrays were prepared. IHC was performed according to manufacturer’s instructions (Leica Microsystems). Briefly, after deparaffinization and heat-induced epitope retrieval, endogenous peroxidase blocking was performed. Slides were incubated with primary antibodies for 45 minutes. Antibodies used are listed in Additional file2: Table S1. After washing, the sections were exposed to anti-rabbit poly-HRP-IgG in 10% animal serum for 10 minutes, followed by DAB reagents for 3 minutes. DAB reaction was stopped, and counterstaining with hematoxylin was performed for 5 minutes. After washing, sections were dehydrated and finally mounted in synthetic mounting media (Electron Microscopy Services, Hatfield, USA). Controls included omission of primary antibodies. After IHC, tissue microarray slides were scanned, analyzed and scored (Leica Microsystems slide scanner and Slidepath image analysis software).

Functional and pathway analysis

To define biological networks, interaction and functional analysis among the differentially expressed proteins, pathway analyses were performed using Ingenuity Pathways Analysis software (IPA) (Ingenuity Systems, Redwood City, CA). Statistically differentially expressed dataset containing 25 unique proteins and their corresponding IPI identifier, p-value and fold change values were uploaded into the IPA. The significance of the connection between the expression data and the canonical pathway were calculated by ratio and/or Fisher’s exact.

Statistical analysis

Analysis of statistical significance of differences in protein spectral counts between patient group and normal healthy pregnant group were sought using Student’s two-tailed unpaired t-test. Analyzes were performed using GraphPad Prism 5 software. Results were considered to be statistically significant if p < 0.05.

Supplementary information

Supplementary Information includes four supplementary tables and four supplementary figures and can be found with this article online.

Abbreviations

STBM: 

Syncytiotrophoblast microvesicle

PE: 

Preeclampsia

PLAP: 

Placental alkaline phosphatase

NTA: 

Nanoparticle tracking analysis.

Declarations

Acknowledgements

This research was funded by National Medical Research Council grants (NMRC/NIG/1022/2010) and (NMRC/CSA/007/2009). We would like to thank Ms Cecille Arquillo Laureano, the staff and patients of delivery suite, Women’s clinic and ward of the National University Health System for their help in obtaining research samples. We would also like to thank Mr Keith Rogers & Dr Adam Cliffe, Institute of Molecular & Cell Biology, Agency for Science, Technology and Research, for support in immunohistochemistry analysis.

Authors’ Affiliations

(1)
Division of Maternal-Fetal Medicine, Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore & National University Health System
(2)
Division of Rheumatology, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore & National University Health System
(3)
Experimental Therapeutic Center, Agency for Science, Technology and Research

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This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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