Immune Cells Phenotypes During COVID-19 (IMMUNO-COVID)

Alterations of Innate and Adaptive Immune Cells During the Course of SARS CoV-2 Pneumonia

The ongoing pandemic caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS CoV-2) has infected more than one hundred twenty million peoples worldwide one year after its onset with a case-fatality rate of almost 2%. The disease due to the coronavirus 2019 (i.e., COVID-19) is associated with a wide range of clinical symptoms. As the primary site of viral invasion is the upper respiratory airways, lung infection is the most common complication. Most infected patients are asymptomatic or experience mild or moderate form of the disease (80 %). A lower proportion (15%) develop severe pneumonia with variable level of hypoxia that may required hospitalization for oxygen therapy. In the most severe cases (5%), patients evolve towards critical illness with organ failure such as the acute respiratory distress syndrome (ARDS). At this stage, invasive mechanical ventilation is required in almost 70 % and the hospital mortality rises to 37 %.

Immune cells are key players during SARS CoV-2 infection and several alterations have been reported including lymphocytes (T, B and NK) and monocytes depletion, and cells exhaustion. Such alterations were much more pronounced in patients with the most severe form of the disease. Beside, a dysregulated proinflammatory response has also been pointed out as a potential mechanism of lung damage. Finally, COVID-19 is associated with an unexpectedly high incidence of thrombosis which probably results from the viral invasion of endothelial cells.

The investigators aim to explore prospectively the alterations of innate and adaptive immune cells during both the acute and the recovery phase of SARS CoV-2 pneumonia. Flow and Spectral cytometry will be used to perform deep subset profiling focusing on T, B, NK, NKT, gamma-gelta T, monocytes and dendritic cells. Each specific cell type will be further characterized using markers of activation/inhibition, maturation/differenciation and senescence as well as chemokines receptors.

T-cell memory specificity will be explore using specific SARS CoV-2 pentamer. Platelet activation and circulating microparticles will be explore using flow cytometry. Serum SARS CoV-2 antibodies (IgA, IgM, IgG), serum cytokines, and serum biomarkers of alveolar epithelial and endothelial cells will be analyze using ELISA and correlate with the severity of the disease.

Study Overview

Study Type

Observational

Enrollment (Anticipated)

100

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients presenting with a first episode of SARS CoV-2 pneumonia and requiring hospitalization either in a ward or an Intensive Care Unit will constitute the COVID-19 group.

Healthy blood donors from the Etablissement Français du Sang (EFS) will constituted the control group

Description

Inclusion Criteria:

  • Age > 18 y
  • Laboratory confirmed SARS CoV-2 infection (positive RT-PCR).
  • Ground-glass opacity on chest computed-tomography
  • Time from hospital admission to inclusion < or equal to 72 h

Exclusion Criteria:

  • Pregnant
  • Under legal restriction

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Profiling of innate and adaptive immune cells during SARS CoV-2 infection.
Time Frame: Day 0
Determination of cells population using spectral cytometry of PBMCs.
Day 0
Profiling of innate and adaptive immune cells during SARS CoV-2 infection.
Time Frame: Day 7
Determination of cells population using spectral cytometry of PBMCs.
Day 7
Profiling of innate and adaptive immune cells during SARS CoV-2 infection.
Time Frame: Day 14
Determination of cells population using spectral cytometry of PBMCs.
Day 14
Profiling of innate and adaptive immune cells during SARS CoV-2 infection.
Time Frame: Day 28
Determination of cells population using spectral cytometry of PBMCs.
Day 28
Profiling of innate and adaptive immune cells during SARS CoV-2 infection.
Time Frame: Day 90
Determination of cells population using spectral cytometry of PBMCs.
Day 90
Profiling of innate and adaptive immune cells during SARS CoV-2 infection.
Time Frame: Day 180
Determination of cells population using spectral cytometry of PBMCs.
Day 180
Functional state of innate and adaptive immune cells during SARS CoV-2 infection.
Time Frame: Day 0
Determination of the functional state of immune cells using spectral cytometry
Day 0
Functional state of innate and adaptive immune cells during SARS CoV-2 infection.
Time Frame: Day 7
Determination of the functional state of immune cells using spectral cytometry
Day 7
Functional state of innate and adaptive immune cells during SARS CoV-2 infection.
Time Frame: Day 14
Determination of the functional state of immune cells using spectral cytometry
Day 14
Functional state of innate and adaptive immune cells during SARS CoV-2 infection.
Time Frame: Day 28
Determination of the functional state of immune cells using spectral cytometry
Day 28
Functional state of innate and adaptive immune cells during SARS CoV-2 infection.
Time Frame: Day 90
Determination of the functional state of immune cells using spectral cytometry
Day 90
Functional state of innate and adaptive immune cells during SARS CoV-2 infection.
Time Frame: Day 180
Determination of the functional state of immune cells using spectral cytometry
Day 180
Serum IgA, IgM and IgG antibodies during SARS CoV-2 infection.
Time Frame: Day 0
Measurement of serum SARS CoV-2 IgA, IgM and IgG antibodies using Elisa.
Day 0
Serum IgA, IgM and IgG antibodies during SARS CoV-2 infection.
Time Frame: Day 7
Measurement of serum SARS CoV-2 IgA, IgM and IgG antibodies using Elisa.
Day 7
Serum IgA, IgM and IgG antibodies during SARS CoV-2 infection.
Time Frame: Day 14
Measurement of serum SARS CoV-2 IgA, IgM and IgG antibodies using Elisa.
Day 14
Serum IgA, IgM and IgG antibodies during SARS CoV-2 infection.
Time Frame: Day 28
Measurement of serum SARS CoV-2 IgA, IgM and IgG antibodies using Elisa.
Day 28
Serum IgA, IgM and IgG antibodies during SARS CoV-2 infection.
Time Frame: Day 90
Measurement of serum SARS CoV-2 IgA, IgM and IgG antibodies using Elisa.
Day 90
Serum IgA, IgM and IgG antibodies during SARS CoV-2 infection.
Time Frame: Day 180
Measurement of serum SARS CoV-2 IgA, IgM and IgG antibodies using Elisa.
Day 180
Platelet activation and circulating microparticles assessment during SARS CoV-2 infection.
Time Frame: Day 0
Determination of platelet activation and circulating microparticles levels using flow cytometry.
Day 0
Platelet activation and circulating microparticles assessment during SARS CoV-2 infection.
Time Frame: Day 7
Determination of platelet activation and circulating microparticles levels using flow cytometry.
Day 7
Platelet activation and circulating microparticles assessment during SARS CoV-2 infection.
Time Frame: Day 14
Determination of platelet activation and circulating microparticles levels using flow cytometry.
Day 14
Platelet activation and circulating microparticles assessment during SARS CoV-2 infection.
Time Frame: Day 28
Determination of platelet activation and circulating microparticles levels using flow cytometry.
Day 28

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Serum concentration of Pro-inflammatory and Anti-inflammatory cytokines in response to SARS CoV-2 infection.
Time Frame: Day 0
Measurement of IL1β, IL-6, IL-10, IL-17A, IL-18, TNFα, IFNγ, CRTP-6 using Elisa.
Day 0
Serum concentration of Pro-inflammatory and Anti-inflammatory cytokines in response to SARS CoV-2 infection.
Time Frame: Day 7
Measurement of IL1β, IL-6, IL-10, IL-17A, IL-18, TNFα, IFNγ, CRTP-6 using Elisa.
Day 7
Serum concentration of Pro-inflammatory and Anti-inflammatory cytokines in response to SARS CoV-2 infection.
Time Frame: Day 14
Measurement of IL1β, IL-6, IL-10, IL-17A, IL-18, TNFα, IFNγ, CRTP-6 using Elisa.
Day 14
Serum concentration of Pro-inflammatory and Anti-inflammatory cytokines in response to SARS CoV-2 infection.
Time Frame: Day 28
Measurement of IL1β, IL-6, IL-10, IL-17A, IL-18, TNFα, IFNγ, CRTP-6 using Elisa.
Day 28
Serum concentration of Pro-inflammatory and Anti-inflammatory cytokines in response to SARS CoV-2 infection.
Time Frame: Day 90
Measurement of IL1β, IL-6, IL-10, IL-17A, IL-18, TNFα, IFNγ, CRTP-6 using Elisa.
Day 90
Serum concentration of Pro-inflammatory and Anti-inflammatory cytokines in response to SARS CoV-2 infection.
Time Frame: Day 180
Measurement of IL1β, IL-6, IL-10, IL-17A, IL-18, TNFα, IFNγ, CRTP-6 using Elisa.
Day 180
Serum alveolar epithelial and endothelial cells biomarkers during SARS CoV-2 infection.
Time Frame: Day 0
Measurement of KL-6, CC-16, S-RAGE, ANG-2 using ELISA.
Day 0
Serum alveolar epithelial and endothelial cells biomarkers during SARS CoV-2 infection.
Time Frame: Day 7
Measurement of KL-6, CC-16, S-RAGE, ANG-2 using ELISA.
Day 7
Serum alveolar epithelial and endothelial cells biomarkers during SARS CoV-2 infection.
Time Frame: Day 14
Measurement of KL-6, CC-16, S-RAGE, ANG-2 using ELISA.
Day 14
Serum alveolar epithelial and endothelial cells biomarkers during SARS CoV-2 infection.
Time Frame: Day 28
Measurement of KL-6, CC-16, S-RAGE, ANG-2 using ELISA.
Day 28
Kinetic of surface biomarkers expression on neutrophils (C64) and monocytes (CD169, HLA-DR) during SARS CoV-2 infection.
Time Frame: Day 0
Measurement of nCD64, mCD169 and mHLA-DR using the VersaPOC one-step rapid flow cytometry method.
Day 0
Kinetic of surface biomarkers expression on neutrophils (C64) and monocytes (CD169, HLA-DR) during SARS CoV-2 infection.
Time Frame: Day 1
Measurement of nCD64, mCD169 and mHLA-DR using the VersaPOC one-step rapid flow cytometry method.
Day 1
Kinetic of surface biomarkers expression on neutrophils (C64) and monocytes (CD169, HLA-DR) during SARS CoV-2 infection.
Time Frame: Day 2
Measurement of nCD64, mCD169 and mHLA-DR using the VersaPOC one-step rapid flow cytometry method.
Day 2
Kinetic of surface biomarkers expression on neutrophils (C64) and monocytes (CD169, HLA-DR) during SARS CoV-2 infection.
Time Frame: Day 3
Measurement of nCD64, mCD169 and mHLA-DR using the VersaPOC one-step rapid flow cytometry method.
Day 3
Kinetic of surface biomarkers expression on neutrophils (C64) and monocytes (CD169, HLA-DR) during SARS CoV-2 infection.
Time Frame: Day 5
Measurement of nCD64, mCD169 and mHLA-DR using the VersaPOC one-step rapid flow cytometry method.
Day 5
Kinetic of surface biomarkers expression on neutrophils (C64) and monocytes (CD169, HLA-DR) during SARS CoV-2 infection.
Time Frame: Day 7
Measurement of nCD64, mCD169 and mHLA-DR using the VersaPOC one-step rapid flow cytometry method.
Day 7
Kinetic of surface biomarkers expression on neutrophils (C64) and monocytes (CD169, HLA-DR) during SARS CoV-2 infection.
Time Frame: Day 9
Measurement of nCD64, mCD169 and mHLA-DR using the VersaPOC one-step rapid flow cytometry method.
Day 9
Kinetic of surface biomarkers expression on neutrophils (C64) and monocytes (CD169, HLA-DR) during SARS CoV-2 infection.
Time Frame: Day 11
Measurement of nCD64, mCD169 and mHLA-DR using the VersaPOC one-step rapid flow cytometry method.
Day 11
Kinetic of surface biomarkers expression on neutrophils (C64) and monocytes (CD169, HLA-DR) during SARS CoV-2 infection.
Time Frame: Day 14
Measurement of nCD64, mCD169 and mHLA-DR using the VersaPOC one-step rapid flow cytometry method.
Day 14
Kinetic of surface biomarkers expression on neutrophils (C64) and monocytes (CD169, HLA-DR) during SARS CoV-2 infection.
Time Frame: Day 17
Measurement of nCD64, mCD169 and mHLA-DR using the VersaPOC one-step rapid flow cytometry method.
Day 17
Kinetic of surface biomarkers expression on neutrophils (C64) and monocytes (CD169, HLA-DR) during SARS CoV-2 infection.
Time Frame: Day 21
Measurement of nCD64, mCD169 and mHLA-DR using the VersaPOC one-step rapid flow cytometry method.
Day 21
Kinetic of surface biomarkers expression on neutrophils (C64) and monocytes (CD169, HLA-DR) during SARS CoV-2 infection.
Time Frame: Day 28
Measurement of nCD64, mCD169 and mHLA-DR using the VersaPOC one-step rapid flow cytometry method.
Day 28

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Jean-Louis MEGE, MD, PhD, Institut Hospitalo-Universitaire Méditérranée Infection

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 25, 2020

Primary Completion (Anticipated)

June 1, 2021

Study Completion (Anticipated)

December 1, 2021

Study Registration Dates

First Submitted

February 12, 2021

First Submitted That Met QC Criteria

March 24, 2021

First Posted (Actual)

March 25, 2021

Study Record Updates

Last Update Posted (Actual)

March 25, 2021

Last Update Submitted That Met QC Criteria

March 24, 2021

Last Verified

March 1, 2021

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 2020-A00756-33

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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