Reciprocal regulation of human platelet function by endogenous prostanoids and through multiple prostanoid receptors.

Platelets are permanently exposed to a variety of prostanoids formed by blood cells or the vessel wall. The two major prostanoids, prostacyclin and thromboxane act through well established pathways mediated by their respective G-protein coupled receptors inhibiting or promoting platelet aggregation accordingly. Yet the role of other prostanoids and prostanoid receptors for platelet function regulation has not been thoroughly investigated. We aimed at a comprehensive analysis of prostanoid effects on platelets, the receptors and pathways involved and functional consequences. We analyzed cAMP formation and phosphorylation of proteins pivotal to platelet function as well as functional platelet responses such as secretion, aggregation and phosphorylation. The types of prostanoid receptors contributing and their individual share in signaling pathways were analyzed and indicated a major role for prostanoid IP1 and DP1 receptors followed by prostanoid EP4 and EP3 receptors while prostanoid EP2 receptors appear less relevant. We could show for the first time the reciprocal action of the endogenous prostaglandin PGE2 on platelets by functional responses and phosphorylation events. PGE2 evokes stimulatory as well as inhibitory effects in a concentration dependent manner in platelets via prostanoid EP3 or EP4 and prostanoid DP1 receptors. A mathematical model integrating the pathway components was established which successfully reproduces the observed platelet responses. Additionally we could show that human platelets themselves produce sufficient PGE2 to act in an autocrine or paracrine fashion. These mechanisms may provide a fine tuning of platelet responses in the circulating blood by either promoting or limiting endogenous platelet activation.

Dynamical modelling of prostaglandin signalling in platelets reveals individual receptor contributions and feedback properties.

Prostaglandins are the key-players in diminishing platelet function. They exert their effects via a variety of surface receptors that are linked to the cAMP/PKA-signalling cascade. However, less is known about the quantitative impact of the individual receptors on the underlying pathway. We present here a comprehensive ordinary differential equation-based model of the platelet cAMP pathway, including the four prostaglandin receptors IP, DP1, EP3 and EP4, the ADP receptor P2Y12, a detailed PKA-module as well as downstream-targets. Parameter estimation along with a comprehensive combination of time-course and dose-response measurements revealed the individual quantitative role of each receptor in elevating or decreasing pathway activity. A comparison of the two inhibiting receptors EP3 and P2Y12 exhibited a greater signalling strength of the EP3 receptor with implications for antithrombotic treatment. Furthermore, analysis of different model topologies revealed a direct influence of PKA on adenylate cyclase, reducing its maximum catalytic speed. Finally, we show here for the first time the dynamic behaviour of VASP-phosphorylation, which is commonly used as a marker for platelet-inhibition. We validate our model by comparing it to further experimental data.

A Boolean view separates platelet activatory and inhibitory signalling as verified by phosphorylation monitoring including threshold behaviour and integrin modulation.

Platelets are critical for haemostasis and blood clotting. However, since under normal circumstances blood should flow without clotting, its function is regulated via a complex interplay of activating and inhibiting signal transduction pathways. Understanding this network is crucial for treatment of cardiovascular and bleeding diseases. Detailed protein interaction and phosphorylation data are explored to establish a simplified Boolean model of the central platelet cascades. We implemented the model by means of CellNetAnalyzer and showed how different signalling events coalesce into a fully activated system state. Furthermore, we examined the networks' inherent threshold behaviour using the semi-quantitative modelling software SQUAD. Finally, predictions are verified monitoring phosphorylations which mark different activation phases as modelled. The model can also be applied to simulate different pharmacological conditions as they modify node activity (aspirin, clopidogrel, milrinon, iloprost, combination) and is available for further studies. It agrees well with observations. Activatory pathways are diversified to cope with complex environmental conditions. Platelet activation needs several activation steps to integrate over different network subsets, as they are formed by the interplay of activating kinases, calcium mobilization, and the inhibiting cAMP-PKA system. System stability analysis shows two phases: a sub-threshold behaviour, characterized by integration over different activatory and inhibitory conditions, and a beyond threshold phase, represented by competition and shutting down of counter-regulatory pathways. The integrin network and Akt-protein are critical for stable effector response. Dynamic threshold-analysis reveals a dependency of the relative activating input strength necessary to irreversibly engage the system from the absolute inhibitory signal strength.

Time-resolved in silico modeling of fine-tuned cAMP signaling in platelets: feedback loops, titrated phosphorylations and pharmacological modulation.

BACKGROUND: Hemostasis is a critical and active function of the blood mediated by platelets. Therefore, the prevention of pathological platelet aggregation is of great importance as well as of pharmaceutical and medical interest. Endogenous platelet inhibition is predominantly based on cyclic nucleotides (cAMP, cGMP) elevation and subsequent cyclic nucleotide-dependent protein kinase (PKA, PKG) activation. In turn, platelet phosphodiesterases (PDEs) and protein phosphatases counterbalance their activity. This main inhibitory pathway in human platelets is crucial for countervailing unwanted platelet activation. Consequently, the regulators of cyclic nucleotide signaling are of particular interest to pharmacology and therapeutics of atherothrombosis. Modeling of pharmacodynamics allows understanding this intricate signaling and supports the precise description of these pivotal targets for pharmacological modulation. RESULTS: We modeled dynamically concentration-dependent responses of pathway effectors (inhibitors, activators, drug combinations) to cyclic nucleotide signaling as well as to downstream signaling events and verified resulting model predictions by experimental data. Experiments with various cAMP affecting compounds including anti-platelet drugs and their combinations revealed a high fidelity, fine-tuned cAMP signaling in platelets without cross-talk to the cGMP pathway. The model and the data provide evidence for two independent feedback loops: PKA, which is activated by elevated cAMP levels in the platelet, subsequently inhibits adenylyl cyclase (AC) but as well activates PDE3. By multi-experiment fitting, we established a comprehensive dynamic model with one predictive, optimized and validated set of parameters. Different pharmacological conditions (inhibition, activation, drug combinations, permanent and transient perturbations) are successfully tested and simulated, including statistical validation and sensitivity analysis. Downstream cyclic nucleotide signaling events target different phosphorylation sites for cAMP- and cGMP-dependent protein kinases (PKA, PKG) in the vasodilator-stimulated phosphoprotein (VASP). VASP phosphorylation as well as cAMP levels resulting from different drug strengths and combined stimulants were quantitatively modeled. These predictions were again experimentally validated. High sensitivity of the signaling pathway at low concentrations is involved in a fine-tuned balance as well as stable activation of this inhibitory cyclic nucleotide pathway. CONCLUSIONS: On the basis of experimental data, literature mining and database screening we established a dynamic in silico model of cyclic nucleotide signaling and probed its signaling sensitivity. Thoroughly validated, it successfully predicts drug combination effects on platelet function, including synergism, antagonism and regulatory loops.

A protein phosphorylation-based assay for screening and monitoring of drugs modulating cyclic nucleotide pathways.

Cyclic nucleotide regulation is an important target for drug development, particularly for treatment and prophylaxis of cardiovascular diseases. Determination of cyclic nucleotide levels for screening and monitoring of cyclic nucleotide modulating drug action is necessary, yet the techniques available are cumbersome and not sufficiently accurate. Here we present an approach based on the detection of cyclic nucleotide-dependent protein phosphorylation. By use of a common substrate of cyclic nucleotide-dependent protein kinases, the protein vasodilator-stimulated phosphoprotein (VASP) featuring two phosphorylation sites specifically phosphorylated by these kinases, an assay was developed for the monitoring of intracellular cyclic nucleotide levels. The assay was tested with human platelets ex vivo treated with stimulants of nucleotide cyclases, kinases, and phosphodiesterase inhibitors. Phosphorylation of the protein VASP correlates with intracellular cyclic nucleotide concentration (R(2)>0.90 for cGMP and cAMP); however, VASP phosphorylation is more sensitive to elevated cyclic nucleotide levels and significantly more stable over time. Quantification of VASP phosphorylation offers a reliable and robust tool for fast and easy monitoring of cyclic nucleotide levels and is also applicable to unprocessed biological matrices. Owing to these properties, VASP is a promising biomarker for screening and monitoring of cyclic nucleotide modulating drugs.