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Clinical

Severe preeclampsia: new blood circulating biomarkers-GSE48424

Purpose

Background: Preeclampsia (PE) is a placental disease characterized by hypertension and proteinuria in pregnant women, which is associated with a high maternal and infantile morbidity. However, circulating biomarkers able to predict the prognosis of PE are lacking.Methods: Thirty-eight women were included in the study. They consisted of 19 patients with PE (13 with severe PE and 6 women with non-severe PE) and 19 gestational age-matched normal pregnancy controls. We measured coagulation pathway, endothelial responses and microparticle release and circulating gene expression in PE patient groups and normotensive controls.Results: The measurement of markers associated with coagulation pathway, endothelial activation and circulating microparticles enabled to discriminate PE from normal pregnancy but were not sufficient to distinguish severe from non-severe PE. PE patients also exhibited a specific transcriptional program distinct from that of control women and subtle differences were observed between severe and non-severe PE. Functional annotation of the up-modulated signature in PE highlighted two main functions related to ribosome and complement. Importantly, we found that 8 genes were specifically up-modulated in severe preeclampsia. Among these genes, the expression of VSIG4 was significantly increased in patients with severe preeclampsia in comparison with controls and patients with non-severe preeclampsia.Conclusion: Using transcriptional signatures of blood samples, we identified the gene encoding the estrogen receptor as a potential diagnostic marker of severe preeclampsia. In addition, the determination of this gene may improve the prognostic assessment of severe preeclampsia.

Hypothesis

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Experimental Design

Thirty-eight women were included in the study: 19 patients with PE, including 6 women with non-severe PE and 13 with severe PE, and 19 women with normal pregnancy (NP) selected according to age, weight, smoking status, race, gestational age at the inclusion, and blood pH (Table 1 of manuscript). Women with NP had no history of medical illness or medication, and received routing prenatal care. The diagnostic of PE was based on a blood pressure of ? 140/90 mmHg taken twice, uricemia above normal laboratory range (120-420 µmol/L), and proteinuria higher than 300 mg in a 24 hour-collection, occurring after 20 gestational weeks in previously normotensive women (Table 2). The criteria used to define severe PE included one of the following conditions: a blood pressure higher than 160/110 mmHg, a proteinuria higher than 1500 mg/24h), a multisystem disorder, maternal cerebral symptoms (seizures, stroke) or intrauterine growth restriction below the 3° percentile. Women with multiple gestations, fetal congenital malformations/chromosomal abnormalities, recent infection, antiphospholipid antibodies, trauma, drug or alcohol abuse during pregnancy, preexisting hypertension, thrombophilia with PE history, or women receiving anticoagulant or antiaggregation therapy were excluded from the study.Two microarrays (one non-severe PE and one normal) were discarded from the analysis for technical reasons. Thus, only 36 microarrays are included here.

Experimental Variables

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Controls

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Methods

The analysis of microarray data was performed and the figures were created using the R (v.2.13) and the Bioconductor software suite. The raw data were filtered and normalized using the Agi4x44PreProcess library. Unsupervised and supervised analyses were carried out using hierarchical clustering, principal component analysis (made4 library) and the Linear Models for Microarray Analysis (limma library). We considered genes as differentially expressed when corrected p-value was below 0.05 and the absolute fold change (FC) was higher than 1.5. Two microarrays were discarded from the analysis for technical reasons. Thus, only 36 microarrays are presented.

Additional Information

https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE48424

Microarray
Agilent 014850 v1
36 Samples Loaded: 36
Human (Homo sapiens)
Whole Blood
Pregnancy
Sample Set Spreadsheet
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Samples Preview
Sample ID Age !Sample_title tissue severity disease status
GSM1177776 32 Preeclampsia-S_A, rep1 blood S preeclampsia
GSM1177777 32 Healthy-NA_B, rep1 blood NA healthy
GSM1177778 25 Healthy-NA_B, rep2 blood NA healthy
GSM1177779 30 Preeclampsia-S_A, rep2 blood S preeclampsia
GSM1177780 28 Healthy-NA_B, rep3 blood NA healthy
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Sample ID Age !Sample Title Tissue Severity Disease status Gestational age (weeks) Matching
GSM1177776
32
Preeclampsia-S_A, rep1
blood
S
preeclampsia
36
A
GSM1177777
32
Healthy-NA_B, rep1
blood
NA
healthy
37
B
GSM1177778
25
Healthy-NA_B, rep2
blood
NA
healthy
33
B
GSM1177779
30
Preeclampsia-S_A, rep2
blood
S
preeclampsia
28
A
GSM1177780
28
Healthy-NA_B, rep3
blood
NA
healthy
34
B
GSM1177781
27
Preeclampsia-S_A, rep3
blood
S
preeclampsia
31
A
GSM1177782
23
Healthy-NA_B, rep4
blood
NA
healthy
38
B
GSM1177783
21
Healthy-NA_B, rep5
blood
NA
healthy
34
B
GSM1177784
31
Healthy-NA_B, rep6
blood
NA
healthy
37
B
GSM1177785
21
Preeclampsia-S_A, rep4
blood
S
preeclampsia
27
A
GSM1177786
34
Preeclampsia-NS_C, rep1
blood
NS
preeclampsia
36
C
GSM1177787
27
Preeclampsia-S_A, rep5
blood
S
preeclampsia
29
A
GSM1177788
31
Preeclampsia-NS_C, rep2
blood
NS
preeclampsia
34
C
GSM1177789
27
Healthy-NA_B, rep7
blood
NA
healthy
34
B
GSM1177790
32
Preeclampsia-S_A, rep6
blood
S
preeclampsia
34
A
GSM1177791
28
Preeclampsia-NS_C, rep3
blood
NS
preeclampsia
36
C
GSM1177792
21
Preeclampsia-S_A, rep7
blood
S
preeclampsia
31
A
GSM1177793
33
Healthy-NA_B, rep8
blood
NA
healthy
37
B
GSM1177794
33
Preeclampsia-S_A, rep8
blood
S
preeclampsia
33
A
GSM1177795
31
Healthy-NA_B, rep9
blood
NA
healthy
33
B
GSM1177796
38
Preeclampsia-S_A, rep9
blood
S
preeclampsia
37
A
GSM1177797
43
Preeclampsia-NS_C, rep4
blood
NS
preeclampsia
34
C
GSM1177798
23
Healthy-NA_B, rep10
blood
NA
healthy
31
B
GSM1177799
29
Healthy-NA_B, rep11
blood
NA
healthy
31
B
GSM1177800
26
Healthy-NA_B, rep12
blood
NA
healthy
16
B
GSM1177801
29
Healthy-NA_B, rep13
blood
NA
healthy
18
B
GSM1177802
34
Healthy-NA_B, rep14
blood
NA
healthy
38
B
GSM1177803
27
Preeclampsia-S_A, rep10
blood
S
preeclampsia
33
A
GSM1177804
27
Healthy-NA_B, rep15
blood
NA
healthy
40
B
GSM1177805
28
Healthy-NA_B, rep16
blood
NA
healthy
23
B
GSM1177806
37
Preeclampsia-NS_C, rep5
blood
NS
preeclampsia
31
C
GSM1177807
29
Preeclampsia-S_A, rep11
blood
S
preeclampsia
34
A
GSM1177808
40
Preeclampsia-S_A, rep12
blood
S
preeclampsia
38
A
GSM1177809
31
Healthy-NA_B, rep17
blood
NA
healthy
38
B
GSM1177810
26
Healthy-NA_B, rep18
blood
NA
healthy
36
B
GSM1177811
29
Preeclampsia-S_A, rep13
blood
S
preeclampsia
35
A

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