Prothrombotic mechanisms in patients with congenital p.Cys89Tyr mutation in CD59

Tabib, Adi; Hindi, Issam; Karbian, Netanel; Zelig, Orly; Falach, Batla; Mevorach, Dror

doi:10.1016/j.thromres.2018.06.006

Cited by 9 publications

(7 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The PMA can also promote thrombosis and vascular occlusion, causing hemodynamic changes and exacerbating the cerebral ischemic injury. 40 Another study suggested that microglia exhaustion could intensify neuroinflammation in the brain after ischemia. Studies showed that microglia depletion enhanced leukocyte infiltration, neuronal death and inflammatory mediator release as well as enlarged brain infarct size in stroke patients.…”

Section: Discussionmentioning

confidence: 99%

The Predictive Role of Systemic Inflammation Response Index (SIRI) in the Prognosis of Stroke Patients

Zhang¹,

Xing²,

Zhou³

et al. 2021

CIA

124

View full text Add to dashboard Cite

Purpose Stroke is a disease associated with high mortality. Many inflammatory indicators such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR) and red blood cell distribution width (RDW) have been documented to predict stroke prognosis, their predictive power is limited. A novel inflammatory indicator called systemic inflammatory response index (SIRI) has been advocated to have an essential role in the prognostic assessment of cancer and infectious diseases. In this study, we attempted to assess the prognosis of stroke by SIRI. Moreover, we compared SIRI with other clinical parameters, including NLR, PLR, LMR and RDW. Methods This was a retrospective cohort study. We obtained data of 2450 stroke patients from the Multiparametric Intelligent Monitoring in Intensive Care III database. We used the Cox proportional hazards models to evaluate the relationship between SIRI and all-cause mortality and sepsis. Receiver operating curve (ROC) analysis was used to assess the predictive power of SIRI compared to NLR, PLR, LMR and RDW for the prognosis of stroke. We collected data of 180 patients from the First Affiliated Hospital of Wenzhou Medical University, which used the Pearson’s correlation coefficient to assess the relationship between SIRI and the National Institute of Health stroke scale (NIHSS). Results After adjusting multiple covariates, we found that SIRI was associated with all-cause mortality in stroke patients. Rising SIRI accompanied by rising mortality. Besides, ROC analysis showed that the area under the curve of SIRI was significantly greater than for NLR, PLR, LMR and RDW. Besides, Pearson’s correlation test confirmed a significant positive correlation between SIRI and NIHSS. Conclusion Elevated SIRI was associated with higher risk of mortality and sepsis and higher stroke severity. Therefore, SIRI is a promising low-grade inflammatory factor for predicting stroke prognosis that outperformed NLR, PLR, LMR, and RDW in predictive power.

show abstract

Section: Discussionmentioning

confidence: 99%

The Predictive Role of Systemic Inflammation Response Index (SIRI) in the Prognosis of Stroke Patients

Zhang¹,

Xing²,

Zhou³

et al. 2021

CIA

124

View full text Add to dashboard Cite

show abstract

“…It has been shown recently that dysfunction or loss of CD59, a protective glycoprotein that prevents formation of the complement‐dependent membrane attack complex, is a major arterial prothrombotic factor in paroxysmal nocturnal hemoglobinuria. To alleviate consequences of massive hemolysis under this pathological condition, CD59 reduces endothelial damage and platelet activation, as well as their aggregation with leukocytes that exaggerate vascular occlusion .…”

Section: Interactions Of Rbcs With Cellular and Molecular Components mentioning

confidence: 99%

Red blood cells: the forgotten player in hemostasis and thrombosis

Weisel

Litvinov

2019

Journal of Thrombosis and Haemostasis

330

272

View full text Add to dashboard Cite

Summary New evidence has stirred up a long‐standing but undeservedly forgotten interest in the role of erythrocytes, or red blood cells (RBCs), in blood clotting and its disorders. This review summarizes the most recent research that describes the involvement of RBCs in hemostasis and thrombosis. There are both quantitative and qualitative changes in RBCs that affect bleeding and thrombosis, as well as interactions of RBCs with cellular and molecular components of the hemostatic system. The changes in RBCs that affect hemostasis and thrombosis include RBC counts or hematocrit (modulating blood rheology through viscosity) and qualitative changes, such as deformability, aggregation, expression of adhesive proteins and phosphatidylserine, release of extracellular microvesicles, and hemolysis. The pathogenic mechanisms implicated in thrombotic and hemorrhagic risk include variable adherence of RBCs to the vessel wall, which depends on the functional state of RBCs and/or endothelium, modulation of platelet reactivity and platelet margination, alterations of fibrin structure and reduced susceptibility to fibrinolysis, modulation of nitric oxide availability, and the levels of von Willebrand factor and factor VIII in blood related to the ABO blood group system. RBCs are involved in platelet‐driven contraction of clots and thrombi that results in formation of a tightly packed array of polyhedral erythrocytes, or polyhedrocytes, which comprises a nearly impermeable barrier that is important for hemostasis and wound healing. The revisited notion of the importance of RBCs is largely based on clinical and experimental associations between RBCs and thrombosis or bleeding, implying that RBCs are a prospective therapeutic target in hemostatic and thrombotic disorders.

show abstract

“…CD59 is a glycosylphosphatidylinositol (GPI)-anchored membrane protein that regulates complement activation by inhibiting membrane attack complex (MAC) formation ( Zhang et al, 2018 ). CD59 deficiency was identified as a pro-thrombotic factor ( Tabib et al, 2018 ). CD59 is highly expressed in various tumor tissues and cells, such as pancreatic cancer ( Bongers et al, 2006 ) and colorectal cancer ( Watson et al, 2006 ).…”

Section: Discussionmentioning

confidence: 99%

Construction and validation of a novel coagulation-related 7-gene prognostic signature for gastric cancer

Wang

Zou²,

Wang³

et al. 2022

Front. Genet.

View full text Add to dashboard Cite

Background: Gastric cancer (GC) is the most common malignant tumor. Due to the lack of practical molecular markers, the prognosis of patients with advanced gastric cancer is still poor. A number of studies have confirmed that the coagulation system is closely related to tumor progression. Therefore, the purpose of this study was to construct a coagulation-related gene signature and prognostic model for GC by bioinformatics methods.Methods: We downloaded the gene expression and clinical data of GC patients from the TCGA and GEO databases. In total, 216 coagulation-related genes (CRGs) were obtained from AmiGO 2. Weighted gene co-expression network analysis (WGCNA) was used to identify coagulation-related genes associated with the clinical features of GC. Last absolute shrinkage and selection operator (LASSO) Cox regression was utilized to shrink the relevant predictors of the coagulation system, and a Coag-Score prognostic model was constructed based on the coefficients. According to this risk model, GC patients were divided into high-risk and low-risk groups, and overall survival (OS) curves and receiver operating characteristic (ROC) curves were drawn in the training and validation sets, respectively. We also constructed nomograms for predicting 1-, 2-, and 3-year survival in GC patients. Single-sample gene set enrichment analysis (ssGSEA) was exploited to explore immune cells’ underlying mechanisms and correlations. The expression levels of coagulation-related genes were verified by real-time quantitative polymerase chain reaction (qRT-PCR) and immunohistochemistry (IHC).Results: We identified seven CRGs employed to construct a Coag-Score risk model using WGCNA combined with LASSO regression. In both training and validation sets, GC patients in the high-risk group had worse OS than those in the low-risk group, and Coag-Score was identified as an independent predictor of OS, and the nomogram provided a quantitative method to predict the 1-, 2-, and 3-year survival rates of GC patients. Functional analysis showed that Coag-Score was mainly related to the MAPK signaling pathway, complement and coagulation cascades, angiogenesis, epithelial–mesenchymal transition (EMT), and KRAS signaling pathway. In addition, the high-risk group had a significantly higher infiltration enrichment score and was positively associated with immune checkpoint gene expression. Conclusion: Coagulation-related gene models provide new insights and targets for the diagnosis, prognosis prediction, and treatment management of GC patients.

show abstract

Prothrombotic mechanisms in patients with congenital p.Cys89Tyr mutation in CD59

Cited by 9 publications

References 46 publications

The Predictive Role of Systemic Inflammation Response Index (SIRI) in the Prognosis of Stroke Patients

The Predictive Role of Systemic Inflammation Response Index (SIRI) in the Prognosis of Stroke Patients

Red blood cells: the forgotten player in hemostasis and thrombosis

Construction and validation of a novel coagulation-related 7-gene prognostic signature for gastric cancer

Contact Info

Product

Resources

About