Elevated sEPCR and PAI-1 Levels, but Not sThrombomodulin Levels in Normal Pregnancy.

Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 3996-3996
Author(s):  
Yale S. Arkel ◽  
Michael J. Paidas ◽  
De-Hui W. Ku ◽  
Elizabeth Triche ◽  
Xuam Lam ◽  
...  

Abstract Pregnancy is a prothrombotic state. The protein C system is felt to be the major regulatory mechanism for the control of thrombin formation in pregnancy. The protein C (PC) system consists of PC, protein S (PS), thrombomodulin (TM) and endothelial protein C receptor (EPCR). The other component for the control of thrombosis is the fibrinolytic system. Plasminogen activator inhibitor-1(PAI-1) is a major down-regulator of fibrinolysis by its effect on plasmin formation and has been shown to be increased in pregnancy. In this study we examined the levels of plasma EPCR (sEPCR), TM (sTM) and PAI-1antigen in normal pregnancies (NP). A total of 82 1st trimester, 64 2nd trimester, and 78 3rd trimester samples from NP patients were used for this study. TM a cell surface protein, found primarily on endothelial cells (ECs) but also identified on trophoblasts and endometrial decidual cells (DCs) of pregnancy, is known to shed off ECs due to metalloproteinases stimulated by thrombin and pro-inflammatory cytokines or in the setting of EC damage. There are reports of increased adverse pregnancy outcome (APO) associated with high levels of plasma TM. Although the sTM level in NP is greater than non-pregnant controls contrary to other reports we did not find a statistically significant increase in TM with gestation. EPCR is a cell surface protein and is primarily on ECs and we have identified it on DCs. Like TM it is shred from ECs by metalloproteinases due to thrombin and pro-inflammatory cytokines. Cell surface TM and EPCR are central to the formation of activated protein C (APC). Our data would indicate that sEPCR statistically increased with gestation(1st trimester compared to 2nd [doubles] and 3rd [1.5 fold]. sEPCR has the property of binding free APC and decreasing its availability as an anticoagulant to degrade FVIIIa and FVa. Therefore during pregnancy the PC system is impaired by the known decrease in PS, acquired resistance to APC and the increased levels of sEPCR which would further inhibit the actions of APC. Finally we have confirmed that PAI-1 does increase in normal gestation with statistically significant rises in the PAI-1 antigen. To date, measurement of PAI-1 levels has had limited predictive value. Exploration of the relationship between PAI-1 levels, 4G/4G polymorphism and possibly PAI-1 antibodies may provide better APO risk assessment. Overall our data indicates that in normal pregnancy the prothrombotic milieu is increased by the impaired PC system by the increased level of sEPCR and the fibrinolytic system is decreased by the rise of PAI-1. The sTM although greater than non-pregnant controls does not seem to increase with NP gestation. This would suggest that serial measurements of sTM in possible problematic pregnancies may provide additional information particularly if the non-pregnant baseline value is known. This will require prospective controlled studies of larger NP and APO patients. The assessment of decreased APC plasma function may also provide added information on the risk factors for APO. This may be related in some part to the level of sEPCR. Table 1 1st trimester 2nd trimester 3rd trimester 1st vs 2nd 1st vs 3rd 2nd vs 3rd NS=non significant sEPCR (ng/ml) 44.9+/−23 94.9+/−62 62.9+/−27.3 p<0.05 p<0.05 p<0.05 sTM (ng/ml) 35.2+/−21.4 33.5+/−10.6 35.3+/−33.6 NS NS NS PAI-1 (ng/ml) 19.3+/−12.9 48.4+/−23.2 72.4+/−27.3 p<0.05 p<0.05 p<0.05

Development ◽  
1987 ◽  
Vol 101 (2) ◽  
pp. 255-265 ◽  
Author(s):  
J.A. Anstrom ◽  
J.E. Chin ◽  
D.S. Leaf ◽  
A.L. Parks ◽  
R.A. Raff

In this report, we use a monoclonal antibody (B2C2) and antibodies against a fusion protein (Leaf et al. 1987) to characterize msp130, a cell surface protein specific to the primary mesenchyme cells of the sea urchin embryo. This protein first appears on the surface of these cells upon ingression into the blastocoel. Immunoelectronmicroscopy shows that msp130 is present in the trans side of the Golgi apparatus and on the extracellular surface of primary mesenchyme cells. Four precursor proteins to msp130 are identified and we show that B2C2 recognizes only the mature form of msp130. We demonstrate that msp130 contains N-linked carbohydrate groups and that the B2C2 epitope is sensitive to endoglycosidase F digestion. Evidence that msp130 is apparently a sulphated glycoprotein is presented. The recognition of the B2C2 epitope of msp130 is disrupted when embryos are cultured in sulphate-free sea water. In addition, two-dimensional immunoblots show that msp130 is an acidic protein that becomes substantially less acidic in the absence of sulphate. We also show that two other independently derived monoclonal antibodies, IG8 (McClay et al. 1983; McClay, Matranga & Wessel, 1985) and 1223 (Carson et al. 1985), recognize msp130, and suggest this protein to be a major cell surface antigen of primary mesenchyme cells.


2019 ◽  
Vol 445 (1) ◽  
pp. 16-28 ◽  
Author(s):  
Yanina-Yasmin Pesch ◽  
Ricarda Hesse ◽  
Tariq Ali ◽  
Matthias Behr

2018 ◽  
Vol 115 (46) ◽  
pp. E10988-E10997 ◽  
Author(s):  
Damaris Bausch-Fluck ◽  
Ulrich Goldmann ◽  
Sebastian Müller ◽  
Marc van Oostrum ◽  
Maik Müller ◽  
...  

Cell-surface proteins are of great biomedical importance, as demonstrated by the fact that 66% of approved human drugs listed in the DrugBank database target a cell-surface protein. Despite this biomedical relevance, there has been no comprehensive assessment of the human surfaceome, and only a fraction of the predicted 5,000 human transmembrane proteins have been shown to be located at the plasma membrane. To enable analysis of the human surfaceome, we developed the surfaceome predictor SURFY, based on machine learning. As a training set, we used experimentally verified high-confidence cell-surface proteins from the Cell Surface Protein Atlas (CSPA) and trained a random forest classifier on 131 features per protein and, specifically, per topological domain. SURFY was used to predict a human surfaceome of 2,886 proteins with an accuracy of 93.5%, which shows excellent overlap with known cell-surface protein classes (i.e., receptors). In deposited mRNA data, we found that between 543 and 1,100 surfaceome genes were expressed in cancer cell lines and maximally 1,700 surfaceome genes were expressed in embryonic stem cells and derivative lines. Thus, the surfaceome diversity depends on cell type and appears to be more dynamic than the nonsurface proteome. To make the predicted surfaceome readily accessible to the research community, we provide visualization tools for intuitive interrogation (wlab.ethz.ch/surfaceome). The in silico surfaceome enables the filtering of data generated by multiomics screens and supports the elucidation of the surfaceome nanoscale organization.


2003 ◽  
Vol 44 (10) ◽  
pp. 4184 ◽  
Author(s):  
Christina Zeitz ◽  
Harry Scherthan ◽  
Susanne Freier ◽  
Silke Feil ◽  
Vanessa Suckow ◽  
...  

1987 ◽  
Vol 122 (2) ◽  
pp. 320-331 ◽  
Author(s):  
Mary C. Farach ◽  
Maria Valdizan ◽  
Helen R. Park ◽  
Glenn L. Decker ◽  
William J. Lennarz

Sign in / Sign up

Export Citation Format

Share Document