Evaluation and Longitudinal Follow-up of Biomarkers Predictive of Severe Forms of COVID-19 (COVIMMUNITY)

Current data in the literature demonstrate that the immune response to CoV-2-SARS is much more complex than initially assumed. In fact, beyond the humoral response, including the existence of neutralizing CAs, the adaptive lymphocyte T-type immune response also appears to play an important role in controlling the infection and reducing the severity of the disease. At this stage, the analysis of this T response is still rudimentary and underdeveloped, but it seems crucial to be able to analyze it effectively in COVID-19 patients, which could help predict the evolution of the infection. It is also currently difficult to know the evolution of this response over time and especially after the resolution of the infection.

To this end, we will analyze the T lymphocyte response (ELISPOT and QUANTIFERON) based on the secretion of IFN (Th1) and IL-4 (Th2) by CoV-2-SARS specific T cells from COVID-19 patients. We will compare the T response to the quality of the systemic and mucosal humoral response. Finally, we will evaluate in parallel two new biomarkers of the severity of COVID-19: plasma calprotectin and the presence of antibodies to type 1 IFN antibodies.

Study Overview

Status

Terminated

Conditions

Study Type

Observational

Enrollment (Actual)

73

Contacts and Locations

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

Study Locations

      • Saint-Étienne, France, 42055
        • CHU Saint-Etienne

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

N/A

Sampling Method

Probability Sample

Study Population

Patients with COVID infection documented by PCR and/or antigenic testing will be included.

Description

Inclusion Criteria:

  • Social security affiliation
  • Signed informed consent
  • Patients with COVID infection documented by PCR and/or antigenic testing
  • Patients belonging to the following groups:

    • asymptomatic patients with PCR-positive PCR
    • patients with mild symptoms and PCR positive
    • seriously symptomatic patients with PCR positive
    • patients in resuscitation with positive PCR
    • Healthy individuals as controls

Exclusion Criteria:

  • haemoglobin < 8g/dL
  • Pregnancy, breastfeeding woman
  • Patient vaccinated within 15 days prior to inclusion

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

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
asymptomatic patients
asymptomatic patients with PCR-positive PCR
measure of immune response by ELISPOT
measure of immune response by QUANTIFERON
mild symptoms patients
patients with mild symptoms and PCR positive
measure of immune response by ELISPOT
measure of immune response by QUANTIFERON
seriously symptomatic patients
seriously symptomatic patients with PCR positive
measure of immune response by ELISPOT
measure of immune response by QUANTIFERON
patients in resuscitation
patients in resuscitation with positive PCR
measure of immune response by ELISPOT
measure of immune response by QUANTIFERON
heathly volunteer
heathly volunteer as control
measure of immune response by ELISPOT
measure of immune response by QUANTIFERON

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
T cell immune response
Time Frame: from baseline to 18 months
Characterize T-cell immune response in patient with COVID 19 infection
from baseline to 18 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
B cell immune response
Time Frame: from baseline to 18 months
Characterize B-cell immune response in patient with COVID 19 infection
from baseline to 18 months
Platelet immune response
Time Frame: from baseline to 18 months
Characterize platelet immune response in patient with COVID 19 infection
from baseline to 18 months
Immune response and chronic forms
Time Frame: from baseline to 18 months
Determine if there is a correlation between the pattern of immune response and the risk of reinfection or with persistence of symptoms in chronic forms of COVID-19.
from baseline to 18 months

Collaborators and Investigators

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

Investigators

  • Study Director: Stéphane Paul, PHD, CHU Saint-Etienne

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 9, 2021

Primary Completion (Actual)

September 26, 2022

Study Completion (Actual)

December 11, 2023

Study Registration Dates

First Submitted

November 27, 2020

First Submitted That Met QC Criteria

November 27, 2020

First Posted (Actual)

December 1, 2020

Study Record Updates

Last Update Posted (Estimated)

December 20, 2023

Last Update Submitted That Met QC Criteria

December 14, 2023

Last Verified

February 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

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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