Acute hemorrhagic complications are associated with lower coated-platelet levels in non-lacunar brain infarction

Procoagulant platelets: novel players in thromboinflammation

Platelets play a key role in maintaining hemostasis. However, dysregulated platelet activation can lead to pathological thrombosis or bleeding. Once a platelet gets activated, it will either become an aggregatory platelet or eventually a procoagulant platelet with both types playing distinct roles in thrombosis and hemostasis. Although aggregatory platelets have been extensively studied, procoagulant platelets have only recently come into the spotlight. Procoagulant platelets are a subpopulation of highly activated platelets that express phosphatidylserine and P-selectin on their surface, allowing for coagulation factors to bind and thrombin to be generated. In recent years, novel roles for procoagulant platelets have been identified and they have increasingly been implicated in thromboinflammatory diseases. Here, we provide an up-to-date review on the mechanisms resulting in the formation of procoagulant platelets and how they contribute to hemostasis, thrombosis, and thromboinflammation.

Levels of procoagulant microparticles expressing phosphatidylserine contribute to bleeding phenotype in patients with inherited thrombocytopenia

Inherited thrombocytopenia is a heterogeneous group of hereditary disorders with varying bleeding tendencies, not simply related to platelet count. Platelets transform into different subpopulations upon stimulation, including procoagulant platelets and platelet microparticles (PMPs), which are considered critical for haemostasis. We aimed to investigate whether abnormalities in PMP and procoagulant platelet function were associated with the bleeding phenotype of inherited thrombocytopenia patients. We enrolled 53 inherited thrombocytopenia patients. High-throughput sequencing of 36 inherited thrombocytopenia related genes was performed in all patients and enabled a molecular diagnosis in 57%. Bleeding phenotype was evaluated using the ISTH bleeding assessment tool, dividing patients into bleeding (n = 27) vs. nonbleeding (n = 26). Unstimulated and ADP, TRAP or collagen-stimulated PMP and procoagulant platelet functions were analysed by flow cytometry using antibodies against granulophysin (CD63), P-selectin (CD62P), activated GPIIb/IIIa (PAC-1) and a marker for phosphatidylserine expression (lactadherin). Procoagulant platelets were measured in response to collagen stimulation. An in-house healthy reference level was available. Overall, higher levels of activated platelets, PMPs and procoagulant platelets were found in nonbleeding patients compared with the reference level. Nonbleeding patients had higher proportions of phosphatidylserine and PMPs compared with bleeding patients and the reference level, in response to different stimulations. Interestingly, this finding of high proportions of phosphatidylserine and PMPs was limited to PMPs, and not present in procoagulant platelets or platelets. Our findings indicate that nonbleeding inherited thrombocytopenia patients have compensatory mechanisms for improved platelet subpopulation activation and function, and that generation of phosphatidylserine expressing PMPs could be a factor determining bleeding phenotype in inherited thrombocytopenia.

Increased procoagulant platelet levels are predictive of death in COVID-19

Prior research has identified abnormal platelet procoagulant responses in COVID-19. Coated-platelets, a form of procoagulant platelets, support thrombin formation and are elevated in ischemic stroke patients with increased risk for recurrent infarction. Our goal was to examine changes in coated-platelet levels over the course of COVID-19 infection and determine their association with disease severity, thrombosis, and death. Coated-platelet levels were assayed after admission and repeated weekly in COVID-19 patients, and in COVID-19 negative controls. Receiver operator characteristic (ROC) analysis was used to calculate area under the curve (AUC) values for a model including baseline coated-platelets to predict death. Kaplan–Meier and Cox proportional hazards analysis was used to predict risk for death at 90 days. We enrolled 33 patients (22 with moderate and 11 with severe infection) and 20 controls. Baseline coated-platelet levels were lower among moderate (mean ± SD; 21.3 ± 9.8%) and severe COVID-19 patients (28.5 ± 11.9%) compared to controls (38.1 ± 10.4%, p < 0.0001). Coated-platelet levels increased during follow-up in COVID-19 patients by 7% (relative) per day from symptom onset (95% CI 2–12%, p = 0.007). A cut-off of 33.9% for coated-platelet levels yielded 80% sensitivity and 96% specificity for death at 90 days, with resulting AUC of 0.880 (95% CI 0.680–1.0, p = 0.0002). The adjusted hazard ratio for death in patients with coated-platelet levels > 33.9% was 40.99 when compared to those with levels ≤ 33.9% (p < 0.0001). Platelet procoagulant potential is transiently decreased in most patients during COVID-19; however, increased baseline platelet procoagulant levels predict death. Defining the mechanisms involved and potential links with aging may yield novel treatment targets.

Procoagulant Platelets

There are two well-known subpopulations of activated platelets: pro-aggregatory and procoagulant. Procoagulant platelets represent a subpopulation of activated platelets, which are morphologically and functionally distinct from pro-aggregatory ones. Although various names have been used to describe these platelets in the literature (CoaT, CoaTed, highly activated, ballooned, capped, etc.), there is a consensus on their phenotypic features including exposure of high levels of phosphatidylserine (PSer) on the surface; decreased aggregatory and adhesive properties; support of active tenase and prothrombinase complexes; maximal generation by co-stimulation of glycoprotein VI (GPVI) and protease-activated receptors (PAR). In this chapter, morphologic and functional features of procoagulant platelets, as well as the mechanisms of their formation, will be discussed.

Increased platelet procoagulant potential predicts recurrent stroke and TIA after lacunar infarction

BACKGROUND

Mean levels of coated-platelets, a subset of highly procoagulant platelets, are decreased in patients with lacunar as compared to those with non-lacunar stroke. Elevated coated-platelets are associated with increased risk for recurrent infarction in non-lacunar stroke and predict incident stroke after transient ischemic attack (TIA).

OBJECTIVE

We investigated if coated-platelet levels are predictive of recurrent cerebral ischemia following lacunar stroke.

METHODS

Coated-platelet levels were assayed in consecutive patients with acute lacunar stroke, who were followed for up to 12 months. Cox proportional hazards regression analysis was used to estimate the combined risk of stroke and TIA at 12 months according to initial coated-platelet levels.

RESULTS

We enrolled a total of 109 lacunar stroke patients. Eight events were recorded over a mean follow-up period of 10.8 months. A cut-off of 42.6% for coated-platelet levels yielded a sensitivity of 0.75 (0.35-0.97; 95% confidence interval [CI]), specificity of 0.92 (0.85-0.97), positive predictive value of 0.43 (0.26-0.62), and a negative predictive value of 0.98 (0.93-0.99) for recurrent stroke/TIA. The adjusted hazard ratio for recurrent stroke/TIA in patients with coated-platelet levels ≥ 42.6% was 23.9 (95% CI: 4.26-134.4) when compared to those with levels < 42.6%.

CONCLUSIONS

Identification of increased platelet procoagulant potential may improve our ability to identify patients at higher risk of recurrent stroke/TIA following a lacunar stroke. Further study of mechanisms involved is warranted and may yield novel targets for prevention and treatment.

Influencing factors of hemorrhagic transformation in non-thrombolysis patients with cerebral infarction

OBJECTIVES

Hemorrhagic transformation (HT) is a serious complication of acute cerebral infarction. The aim of study is to investigate the influencing factors of HT in non-thrombolysis patients with acute cerebral infarction, and to explore its clinical significance.

PATIENTS AND METHODS

From June 2016 to March 2017, a total of 346 non-thrombolysis patients with acute cerebral infarction hospitalized in the Department of Neurology of Guangdong Second Provincial General Hospital, were chosen and randomly devided into the non-HT group (control) and HT group. A record of 17 indices including the patients'age, gender, hypertension, diabetes, dyslipidemia, hyperhomocystinemia, atrial fibrillation, drinking or smoking, anticoagulation, antithrombosis, international normalized ratio (INR) and platelet count were measured. Then regression analysis was made to find the independent factors for HT.

RESULTS

It was found that 38 of non-thrombolysis patients with acute cerebral infarction involved in this study were with HT. The indices including dyslipidemia, drinking, atrial fibrillation, antiplatelet aggregation, anticoagulation, INR > 1.7, cholesterin, triglyceride and platelet count showed statistical differences between the HT group and the non-HT group (P < 0.05). According to the binary logistic regression analysis, there was a negative correlation between dyslipidemia and HT (odds ratio (OR)=0.371, 95% confidence interval (CI) 0.186-0.740, P = 0.005), while there was a positive correlation between atrial fibrillation (OR=2.476, 95% CI 1.140-5.377, P=0.022), platelet count (OR=1.006, 95% CI 0.682-1.611, P = 0.007), INR>1.7 (OR=10.889, 95% CI 4.760-24.910, P = 0.000) and HT.

CONCLUSION

There is independent correlation between dyslipidemia, atrial fibrillation, platelet count, INR > 1.7 and HT. Dyslipidemia is the protective factor for HT, and atrial fibrillation, platelet count, INR > 1.7 are the risk factors for HT.

Clot Contraction Drives the Translocation of Procoagulant Platelets to Thrombus Surface

Objective—

After activation at the site of vascular injury, platelets differentiate into 2 subpopulations, exhibiting either proaggregatory or procoagulant phenotype. Although the functional role of proaggregatory platelets is well established, the physiological significance of procoagulant platelets, the dynamics of their formation, and spatial distribution in thrombus remain elusive.

Approach and Results—

Using transmission electron microscopy and fluorescence microscopy of arterial thrombi formed in vivo after ferric chloride–induced injury of carotid artery or mechanical injury of abdominal aorta in mice, we demonstrate that procoagulant platelets are located at the periphery of the formed thrombi. Real-time cell tracking during thrombus formation ex vivo revealed that procoagulant platelets originate from different locations within the thrombus and subsequently translocate towards its periphery. Such redistribution of procoagulant platelets was followed by generation of fibrin at thrombus surface. Using in silico model, we show that the outward translocation of procoagulant platelets can be driven by the contraction of the forming thrombi, which mechanically expels these nonaggregating cells to thrombus periphery. In line with the suggested mechanism, procoagulant platelets failed to translocate and remained inside the thrombi formed ex vivo in blood derived from nonmuscle myosin ( MYH9 )-deficient mice. Ring-like distribution of procoagulant platelets and fibrin around the thrombus observed with blood of humans and wild-type mice was not present in thrombi of MYH9 -knockout mice, confirming a major role of thrombus contraction in this phenomenon.

Conclusions—

Contraction of arterial thrombus is responsible for the mechanical extrusion of procoagulant platelets to its periphery, leading to heterogeneous structure of thrombus exterior.