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| ID | Type | Description | Link |
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| 2018/11DEC/469 | Other Identifier | CEHF |
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Knowing the dramatic increase in thrombin generation during sepsis, our research hypothesis is that AMPK-induced ACC phosphorylation in platelets is increased and that this might modulate platelets metabolism and more particularly platelets inflammatory mediators content, coming from AA and lipids.
Background
Sepsis, a systemic inflammatory reaction occurring in response to an infection, is a major public health problem and is recognized as the leading cause of death in the intensive care unit (ICU). This severe inflammatory reaction causes endothelial activation and dysfunction. This phenomenon is closely associated with the activation of coagulation cascade via exposure of tissue factor (TF) at endothelial cell surface. TF serves as an anchor for factors of coagulation VII and X allowing their activation. This results in thrombin (IIa) generation and fibrin production.
Thrombin is also a potent platelet agonist (activator) resulting in platelet activation and consumption. The pro-coagulant activity of activated platelets during sepsis enhances the formation of micro-thrombosis that impair organ perfusion and may lead to death. Thrombocytopenia is common and is a strong negative prognostic marker in septic shock patients.
Beyond coagulation, platelets are known to play a key role in inflammation and immune response. Platelets activation can be initiated by inflamed endothelium or circulatory inflammatory cytokines, which in turn, modulates the inflammatory and thrombotic response. Activated platelets interact with immune cells, like neutrophils. Furthermore, platelets can act as microbial "sensors" by expressing members of Toll-Like Receptors (TLRs) family, binding ligands from several infectious agents. Recent data highlight the interplay between platelets and neutrophils extracellular traps (NETs). Platelets facilitate NETs formation and, inversely, NETS activate platelets. NETs connect platelets, thrombosis, immune response and inflammation and therefore are of particular interest in the septic context.
Platelets express Acetyl-CoA carboxylase 1 (ACC1), which is the first step enzyme of lipogenesis. ACC Phosphorylation on Serine 79 by AMP-activated protein kinase (AMPK) leads to its inhibition and AMPK is activated by thrombin. We demonstrated that AMPK-ACC axis controls platelets phospholipids content, which influence TXA2 and dense granule release and, in turn, thrombus formation. TXA2 is generated from phospholipids containing arachidonic acid (AA). Alternatively, AA can be metabolized by lipooxygenase (LOX) pathway producing lipoxins (LX) and resolvin, which are rather involved in the resolution of inflammation. The relation between AMPK-ACC signalling and lipooxygenase pathway has never been investigated.
Research hypothesis
Knowing the dramatic increase in thrombin generation during sepsis, our research hypothesis is that AMPK-induced ACC phosphorylation in platelets is increased and that this might modulate platelets metabolism and more particularly platelets inflammatory mediators content, coming from AA and lipids.
Patients selection
Consecutive patients with septic shock admitted at Cliniques universitaires Saint-Luc, Brussels, will be included (experimental group)
Control group will correspond to healthy volunteers with matched age and gender, based on retrospective analysis of patients admitted in ICU for sepsis.
Exploratory control group will correspond to patients admitted in the intensive care unit without evidence of severe infection and severe systemic inflammatory response. Patients with neurological disorder and intoxication will be the target population.
Similar exclusion criteria will be the same in control groups than in the experimental group.
Material and methods
Type of study Prospective, monocentric, interventional study.
Blood sampling Blood samples will be collected after venous catheter insertion, within 48 hours after septic shock diagnosis.
The following samples will be taken during the procedure:
Data collection Data will be collected from Medical Explorer and Q Care, including biological data that are routinely performed in patients admitted in the ICU as platelets count, CRP level, coagulation assessment, renal function and liver enzymology. Follow-up will be performed by at least 3 years and no additional visits will be planned. Events recorded during the follow-up period will be obtained from Medical Explorer and a phone call will be done in case of missing data.
Measurements
Plasma sampling
Lipidomic analyses Lipidome will be analyzed in collaboration with Christine Des Rosiers in Montréal Heart Insitute. Special attention will be given to metabolites from the COX and LOX pathways (TXA2 and lipoxins).
Sample size
Based on our preliminary data, we determined that enrollment of minimum 46 patients would provide a power of 90% at a significance level of 5% to detect a difference of 0.15 in the phosphorylation of ACC (difference between control group 1 and septic shock population). 20 patients are expected in the exploratory control group.
Covid-19 - Study amendment
Since December 2019, novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV- 2) causing Coronavirus disease 2019 (COVID-19) has evolve from an epidemic outbreak in China into a pandemic. Severe infection is mainly responsible for bilateral pneumonia but emerging data indicate that it is a systemic disease involving multiple systems including the hematopoietic and immune system. Endothelial activation, procoagulant state and micro-thrombosis has been shown. However, the pathophysiology has not been demonstrated to be similar to a bacterial sepsis and the above-mentioned metabolic pathway should also be studied in the subgroup of Covid- 19 patients.
Covid-19 group will correspond to patients admitted in the ICU with ARDS due to SARS-Cov-2 infection and PaO2/FiO2 < 200. Inclusion will be done within 5 days after admission and patients with bacterial co-infection will be excluded. We planned to enroll 46 patients, similarly to the control and septic shock group.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Septic shock | Experimental | Septic shock Patients admitted to the ICU |
|
| Control group | Other | Patients recruited at the central lab of the hospital, with matched age, gender and comorbidities |
|
| Covid-19 | Experimental | Covid-19 patients admitted to the ICU for Acute Respiratory Distress Syndrom with PaO2/FiO2 < 200 |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Assessment of coagulopathy, Platelets activation and Platelets-Neutrophils interplay | Other | Blood sample Urine Sample Pulmonary, hepatic and cardiac tissue from biopsy and autopsy |
| Measure | Description | Time Frame |
|---|---|---|
| Platelets Acetyl-CoA Carboxylase phosphorylation rate | ACC phosphorylation on Ser79 (phosphoACC) in platelets of patients will be assessed using western blotting. Results will be expressed in arbitrary units (A.U). A signal above 0.5 A.U. has already been shown to be above 2 standard deviation in a healthy population. | At the time of inclusion |
| Measure | Description | Time Frame |
|---|---|---|
| Sepsis severity | Sepsis severity will be assessed using the SOFA score (Sepsis-related Organ Failure Assessment). Range from 0( less severe) to 24 (more severe). | At the time of inclusion |
| Sepsis severity |
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Inclusion Criteria:
Exclusion Criteria:
Exclusion criteria for Covid-19 patients:
- bacterial co-infection
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| Name | Affiliation | Role |
|---|---|---|
| Christophe Beauloye, MD | Cliniques Universitaires St Luc | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Cliniques Universitaires St Luc | Brussels | 1200 | Belgium |
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Sepsis severity will be assessed using the APACHE II score) Acute Physiology And Chronic Health Evaluation) Range 0 (less severe) to 299 (more severe).
| At the time of inclusion |
| Mortality rate | 30 days and 1-year follow-up |
| Platelet function assessment | Platelet function will be assessed using platelets aggregometry. The Aggregation (in AU), the maximum height of the curve during the measurement period will be assessed. | At the time of inclusion |
| Platelet function assessment | Platelet function will be assessed using platelets aggregometry. Area Under the aggregation Curve (AUC) will be assessed and recorded as Units or U. | At the time of inclusion |
| Platelet function assessment | Platelet function will be assessed using platelets aggregometry. Velocity (in AU/min), the maximum slope of the curve will be assessed. | At the time of inclusion |
| Thrombin generation marker rate | D-Dimers (ng/ml) | At the time of inclusion |
| Thrombin generation marker rate | Urinary Thrombin-antithrombin complex (ng/mL) | At the time of inclusion |
| Tubulin acetylation rate | Tubulin acetylation will be assessed using western blotting. Results will be expressed in arbitrary units (A.U). | At the time of inclusion |
| Total platelets lipid content and composition | Total platelets lipid content and composition will be assessed using metabolomics approach by Mass Spectrometry. Fold-change estimates and corresponding P values were derived from regression models for each lipid species and each predictor. To control for multiple testing, all P values will be further adjusted for Benjamini-Hochberg false discovery rate (FDR), with a FDR <0.05 considered statistically significant | At the time of inclusion |
| Neutrophils extracellular trap formation | Myeloperoxidase MPO (ng/mL) | At the time of inclusion |
| Neutrophils extracellular trap formation | Citrulinated Histon 3 H3-Cit (ng/mL) | At the time of inclusion |
| Platelets activation | Soluble CD62P (ng/mL) | At the time of inclusion |
| Respiratory failure | PaO2/FiO2 | At the time of inclusion and through study completion up to day 30 |
| ID | Term |
|---|---|
| D012772 | Shock, Septic |
| C566796 | Platelet Signal Processing Defect |
| D004211 | Disseminated Intravascular Coagulation |
| D000086382 | COVID-19 |
| ID | Term |
|---|---|
| D018805 | Sepsis |
| D007239 | Infections |
| D018746 | Systemic Inflammatory Response Syndrome |
| D007249 | Inflammation |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D012769 | Shock |
| D001778 | Blood Coagulation Disorders |
| D006402 | Hematologic Diseases |
| D006425 | Hemic and Lymphatic Diseases |
| D006474 | Hemorrhagic Disorders |
| D019851 | Thrombophilia |
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D014777 | Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
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