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| ID | Type | Description | Link |
|---|---|---|---|
| 2020-A00875-34 | Other Identifier | ANSM |
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| Name | Class |
|---|---|
| Institute of Human Genetics, Montpellier | UNKNOWN |
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The study investigators hypothesize that the pneumonia arising in patients with COVID-19 is largely of immunopathological origin. The investigators will therefore seek to define the immune activation phenotype of patients in respiratory distress and to see if this immune signature is predictive of mortality. Finally, the investigators will look for overproduced inflammatory mediators to identify potential therapeutic targets.
SARS-CoV inhibits the viral detection systems and the signaling pathways of type I interferons (IFN-I). The weakness of the initial interferon response is predictive of the severity of future lung disease. The effectiveness of this escape strategy seems to allow these coronaviruses to replicate in the human body without triggering an effective innate immune response. This could explain the contagiousness of asymptomatic infected people.
However, this initial replication causes a cytokine storm involving inflammatory cytokines. The intensity of this cytokine storm is correlated with the severity of COVID-19 cases.
Pulmonary involvement, which is the main cause of death in SARS-CoV infections, has been attributed to local inflammation, with infiltration of CD8 + T cells, polymorphonuclear cells, monocytes and macrophages, infiltration proportional to the severity of respiratory failure as well as increased vascular permeability.
SARS-CoV also induces T cell apoptosis. This pro-apoptotic effect could contribute to the lymphopenia observed in 37 to 63% of COVID-19 cases, which is predictive of severe forms.
Thus the pulmonary involvement could be partly caused by immunopathological mechanisms.
Immunological disturbances associated with respiratory failure need to be better defined. Recently, we measured a panel of soluble and membrane markers allowing to characterize T CD4 +, T CD8 +, B, monocytic, NK, endothelial activation as well as inflammation in a sample made up of 150 volunteers from a general population providing a control population.
The study investigators aim to use this panel to define the immune activation state of patients infected with SARS-CoV-2 hospitalized for respiratory distress. In addition, the investigators will identify the soluble factors linked to the immune activation overproduced by the peripheral blood mononuclear cells (PBMC) of these patients. Finally, the investigators want to characterize the transcriptome of the main circulating immune sub-populations. These parameters will be compared with those of patients infected with SARS-CoV-2 hospitalized before experiencing respiratory distress.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients SARS-CoV-2 with respiratory failure | Patients in intensive care |
| |
| Patients SARS-CoV-2 without respiratory failure | Patients hospitalized in normal hospital wards |
| |
| HEALTHY VOLUNTEERS | HEALTHY VOLUNTEERS |
| |
| NON-COVID-19 PATIENTS | Patient hospitalized at the CHU of Nîmes for an infection by a virus other than SARS-CoV-2 |
| |
| PAUCISYMPTOMATIC SARS-COV-2+ PATIENTS | Patient positive for SARS-CoV-2 by RT-PCR at the CHU of Nîmes and presenting at most moderate clinical signs without respiratory insufficiency (O2 saturation greater than or equal to 96%) during the confinement period |
| |
| convalescent patients | Additional 1-year follow-up visit |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Immunological profiling | Other | The immune activation phenotype will be assessed using a standardized panel of soluble and membrane immune activation markers |
|
| Measure | Description | Time Frame |
|---|---|---|
| Membrane expression of Human Leukocyte Antigen -DR isotype compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Membrane expression of cluster of differentiation 38 compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Membrane expression of Programmed cell death 1 protein compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Membrane expression of cluster of differentiation 45RA compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry | Day 0 |
| Membrane expression of cluster of differentiation 27 (naïve/central memory/effector memory) compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Membrane expression of CD57 on T CD4+ and T CD8+ cells compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Membrane expression of cluster of differentiation 27 on T CD4+ and T CD8+ cells compared to normal values (based on 150 healthy volunteers previously sampled) |
| Measure | Description | Time Frame |
|---|---|---|
| Compare the immune activation phenotype (defined in primary outcome) of patients affected by COVID-19 before any respiratory distress against that of 150 volunteers from the general population (data already existing). | Difference in expression of the biomarkers assayed for primary outcome | Day 0 |
| Compare the immune activation phenotype (defined in primary outcome) of patients affected by COVID-19 with respiratory failure against versus those without respiratory failure |
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Inclusion Criteria:
Exclusion Criteria:
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Patients in intensive care or normal hospitalization at the CHU de Nîmes for SARS-CoV-2 infection, confirmed by PT-PCR or by an antigen test
Healthy Volunteers
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| Name | Affiliation | Role |
|---|---|---|
| Pierre Corbeau | CHU Nimes | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| CHU de Nimes | Nîmes | France |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35066575 | Result | Andre S, Picard M, Cezar R, Roux-Dalvai F, Alleaume-Butaux A, Soundaramourty C, Cruz AS, Mendes-Frias A, Gotti C, Leclercq M, Nicolas A, Tauzin A, Carvalho A, Capela C, Pedrosa J, Castro AG, Kundura L, Loubet P, Sotto A, Muller L, Lefrant JY, Roger C, Claret PG, Duvnjak S, Tran TA, Racine G, Zghidi-Abouzid O, Nioche P, Silvestre R, Droit A, Mammano F, Corbeau P, Estaquier J. T cell apoptosis characterizes severe Covid-19 disease. Cell Death Differ. 2022 Aug;29(8):1486-1499. doi: 10.1038/s41418-022-00936-x. Epub 2022 Jan 22. |
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| ID | Term |
|---|---|
| D000086382 | COVID-19 |
| D012131 | Respiratory Insufficiency |
| ID | Term |
|---|---|
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
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Plasma and peripheral blood mononuclear cells
|
| Immunological profiling | Other | The immune activation phenotype will be assessed using a standardized panel of soluble and membrane immune activation markers |
|
|
Quantified by flow cytometry; % variation / normal values |
| Day 0 |
| Membrane expression of cluster of differentiation 28 on T CD4+ and T CD8+ cells compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Membrane expression of Human Leukocyte Antigen -DR isotype on Naturel Killer cells compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Membrane expression of cluster of differentiation 69 on Naturel Killer cells compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Membrane expression of cluster of differentiation 56 on Naturel Killer cells compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Membrane expression of cluster of differentiation 57 on Naturel Killer cells compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Membrane expression of cluster of differentiation 14 on Naturel Killer cells compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Membrane expression of cluster of differentiation 16 on Naturel Killer cells compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Number of regulatory T cells (CD4+CD25hiCD127loFoxP3+). | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Percentage of regulatory T cells (CD4+CD25hiCD127loFoxP3+). | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Immunoglobulin A compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Immunoglobulin G compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Immunoglobulin M compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Soluble cluster of differentiation 14 compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Soluble cluster of differentiation 163 compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Ultrasensitive C-Reactive Protein compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Soluble tumor necrosis factor alpha receptor type I compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating E-selectin (cluster of differentiation 62E) compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Granulocyte Macrophage Colony-Stimulating Factor compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry | Day 0 |
| Rate of circulating InterCellular Adhesion Molecule-1 compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Interferon alpha compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Interferon beta compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Interferon gamma compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Interleukin-1 alpha compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Interleukin-1 beta compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Interleukin-4 compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Interleukin-6 compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Interleukin-8 compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Interleukin-10 compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Interleukin-12p70 compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry | Day 0 |
| Rate of circulating Interleukin-13 compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Interleukin-17A compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Induced Protein 10 (C-X-C motif chemokine 10) compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Monocyte Chemoattractant Protein-1 (C-C Motif Chemokine Ligand 2) compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Macrophage inflammatory protein-1 alpha (C-C Motif Chemokine Ligand 3) compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating Macrophage inflammatory protein-1 beta (C-C Motif Chemokine Ligand 4) compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of circulating P-selectin compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of tumor necrosis factor alpha compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of tissue plasminogen activator compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of soluble form of endothelial protein C receptor compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
| Rate of D-Dimers compared to normal values (based on 150 healthy volunteers previously sampled) | Quantified by flow cytometry; % variation / normal values | Day 0 |
Difference in expression of the biomarkers assayed for primary outcome |
| Day 0 |
| Mortality rate | Mortality | End of study (2021) |
| Comparison of E-selectin levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of Granulocyte Macrophage Colony-Stimulating Factor levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of InterCellular Adhesion Molecule levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of Interferon alpha levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of Interferon gamma levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of Interleukin-1alpha levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of Interleukin-1beta levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of Interleukin-4 levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of Interleukin-6 levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of Interleukin-8 (C-X-C motif ligand 8) levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of Interleukin-10 levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of Interleukin-12p70 levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of Interleukin-13 levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of Interleukin-17A levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of Induced Protein -10 (C-X-C motif chemokine 10) levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of Monocyte Chemoattractant Protein-1 levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of Macrophage Inflammatory Protein-1alpha levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of Macrophage Inflammatory Protein -1beta levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of P-Selectin levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Comparison of Tumor necrosis factor alpha levels from plasma and the supernatant of PBMC activated or not by lipopolysaccharide and Staphylococcal enterotoxin B against norms previously established from 16 healthy subjects | quantified by Luminex (TruCulture tube system (Myriad RBM)) | Day 0 |
| Identify inflammatory mediators over-produced by the PBMC of patients with COVID-19 before respiratory distress | Difference in expression of the 20 inflammatory markers described in outcomes 51-70 | Day 0 |
| Compare the inflammatory mediators over-produced by the peripheral blood mononuclear cells of patients with COVID-19 with versus without respiratory failure | Difference in expression of the 20 inflammatory markers described in outcomes 51-70 | Day 0 |
| Comparison of transcriptome from peripheral blood mononuclear cells from 12 patients with respiratory failure (from intensive care ward) and 10 without (normal hospitalization) | Performed at the Institut de Génétique Humaine (Montpellier) | Day 0 |
| To evaluate whether lymphocyte apoptosis measured in the acute phase is predictive of residual specific Ac levels and B and T immune memory one year later. | Lymphocyte caspase activity | 1 year |
| o evaluate whether lymphocyte apoptosis measured in the acute phase is predictive of residual specific Ac levels and B and T immune memory one year later. | circulating FasL level | 1 year |
| o evaluate whether lymphocyte apoptosis measured in the acute phase is predictive of residual specific Ac levels and B and T immune memory one year later. | expression of phosphatidylserine on the surface of lymphocytes in the acute phase | 1 year |
| o evaluate whether lymphocyte apoptosis measured in the acute phase is predictive of residual specific Ac levels and B and T immune memory one year later. | levels of Ac | 1 year |
| o evaluate whether lymphocyte apoptosis measured in the acute phase is predictive of residual specific Ac levels and B and T immune memory one year later. | plasmablasts and specific T cells | 1 year |
| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D012120 | Respiration Disorders |