LIPId Profile Changes in Inflammatory Conditions Induced by SARS-CORoronavirus-2 (LIPICOR)

November 8, 2021 updated by: Assistance Publique - Hôpitaux de Paris

LIPId Profile Changes in Inflammatory Conditions Induced by SARS-CORoronavirus-2 : LIPICOR Study

In late 2019, a new coronavirus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was identified as the cause of COVID-19 (COronaVIrus Disease-2019) in Hubei Province, China. COVID-19 has become a pandemic with approximately 4.1 million confirmed cases as of May 2020 resulting in 280,000 deaths worldwide. Between 5 and 20% of patients hospitalized with SARS-CoV-2 infection are admitted to the ICU with a mortality ranging from 25 to 60% depending on the series. At present, there is no effective targeted therapy against this viral infection.

High-density lipoproteins (HDL) are nanoparticles made up of apolipoproteins, mainly apoA1, associated with phospholipids whose main function is the reverse transport of cholesterol from peripheral tissues to the liver. This property gives HDL a major cardiovascular protective effect. In addition to this effect, studies have highlighted a number of properties such as anti-inflammatory, anti-apoptotic, anti-thrombotic and anti-oxidant effects of these particles. Furthermore, it has been shown that HDL is able to bind and neutralize bacterial lipopolysaccharides (LPS), promoting their elimination.

During bacterial sepsis, a rapid decrease in plasma HDL cholesterol (HDL-C) concentration has been demonstrated, but also an inverse correlation between mortality and HDL-C concentration. In addition to the quantitative decrease in HDL during sepsis, dysfunctions of these particles have been described, such as major differences in size, or a notable alteration in protein composition with, in particular, more pro-inflammatory proteins. In this context of both quantitative and qualitative alteration of HDL, authors have tested the efficacy of injection of either reconstituted HDL (apoA1 + phosphatidylcholines) or peptides structurally similar to ApoA1 in animal models of sepsis and have demonstrated a protective effect on morbidity and mortality, with in particular a decrease in the inflammatory state induced by sepsis.

Low-density lipoproteins (LDL) can also neutralize LPS and observational studies have shown a decrease in the concentration of LDL cholesterol (LDL-C) during sepsis. The authors also showed that low LDL-C was associated with a poor prognosis in patients with sepsis.

During COVID-19-induced sepsis, a few studies have demonstrated a decrease in lipoprotein (HDL and LDL) concentration. More specifically, some authors have found an association between low lipoprotein concentrations and increased disease severity. To the best of the knowledge of the investigators, no study has specifically investigated particulate dysfunction of lipoproteins and in particular HDL during severe COVID-19 infections. On the other hand, as it has been described that lipoproteins and particularly HDL can bind bacterial components (LPS or LTA) favoring their clearance, it can be envisaged that these particles can also bind SARS-CoV-2 components, and this, in a more or less strong way depending on the virus strain.

The preliminary results of the investigators show that in sepsis, serum amyloid A (SAA) protein tends to replace apolipoprotein A1, making HDL dysfunctional. In addition, paraoxonase-1, an antioxidant enzyme mainly carried by HDL, is almost absent or degraded in septic patients. The SAA/PON-1 ratio could allow to assess the severity of COVID-19 damage and to reinforce a possible therapeutic strategy based on the supplementation of severe patients with apolipoprotein A1 and PON-1 rich HDL nanoparticles.

Main objective: To evaluate the functionality of HDL as a prognostic marker of mortality in COVID-19 patients in ICU. To do so, a quantification of the SAA/PON-1 ratio at plasma level and on isolated lipoproteins will be performed by ELISA.

Study Overview

Study Type

Observational

Enrollment (Anticipated)

135

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 Locations

      • Paris, France, 75018
        • Recruiting
        • Hôpital Bichat
        • Contact:

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

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Any patient hospitalised in intensive care for a COVID-19 infection. The health emergency of this pandemic and the potential therapeutic action of HDL particles justify the choice of this population for study.

Description

Inclusion Criteria:

  • Age ≥ 18 years.
  • Patient hospitalized in surgical intensive care unit for COVID-19 infection.

Exclusion Criteria:

  • Pregnant or breastfeeding women
  • CHILD B or C cirrhotic patients
  • Moribund patients with an estimated life expectancy of less than 48 hours on admission to the ICU
  • Subject protected by law under guardianship or curatorship
  • No affiliation to a social security system
  • Absence of signed consent

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

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Any patient hospitalised in intensive care for a COVID-19 infection.
Any patient hospitalised in intensive care for a COVID-19 infection. The health emergency of this pandemic and the potential therapeutic action of HDL particles justify the choice of this population for study.
On admission in ICU, a deep nasopharyngeal swab will be performed (15mL).

Specific samples for research and lipid analysis will be performed at D1, D3 and D7:

Assessments will be carried out on the same blood tube as the blood ionogram carried out as part of the usual management.

This means a 5 ml tube of blood on EDTA medium will be taken at the same time as the blood ionogram for the treatment at D1, D3 and D7 (15mL in total).

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change of concentration of Serum Amyloid A (SAA, inflammation protein) and paroxonase-1 (PON-1, antioxidant enzyme) in plasma and lipoproteins.
Time Frame: Day 1 and Day 7.
The primary endpoint will be the change of concentration of Serum Amyloid A (SAA, inflammation protein) and paroxonase-1 (PON-1, antioxidant enzyme) in plasma and lipoproteins. SAA and PON-1 will be quantified by ELISA directly in plasma and after isolating by ultracentrifugation lipoproteins (HDL and LDL) from Day 1 and Day 7.
Day 1 and Day 7.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Assessment of structural dysfunctions by proteomic approaches to lipoproteins during severe COVID-19 infections.
Time Frame: Day 1, Day 3 and Day 7
Assessment of structural dysfunctions by proteomic approaches to lipoproteins during severe COVID-19 infections.
Day 1, Day 3 and Day 7
Quantification of plasma HDL-C, LDL-C and triglyceride concentrations over time in patients hospitalized in ICU for severe COVID-19 infection.
Time Frame: Day 1, Day 3 and Day 7
Quantification of plasma HDL-C, LDL-C and triglyceride concentrations over time in
Day 1, Day 3 and Day 7
Study of HDL and LDL particle size profiles using the Lipo-print® technique.
Time Frame: Day 1, Day 3 and Day 7
Study of HDL and LDL particle size profiles using the Lipo-print® technique.
Day 1, Day 3 and Day 7
Comparison of pro- and anti-inflammatory cytokines levels, such as IL-1 beta, IL-6, TNF-alpha, IL-10 or IL-18, in patients according to their particle dysfunction data.
Time Frame: Day 1, Day 3 and Day 7
Comparison of pro- and anti-inflammatory cytokines levels, such as IL-1 beta, IL-6, TNF-alpha, IL-10 or IL-18, in patients according to their particle dysfunction data.
Day 1, Day 3 and Day 7
Comparison of particle dysfunction data to markers of endothelial dysfunction.
Time Frame: Day 1, Day 3 and Day 7
Comparison of particle dysfunction data to markers of endothelial dysfunction.
Day 1, Day 3 and Day 7
Comparison of lipid profiles to the genotype of COVID-19 strains.
Time Frame: Day 1, Day 3 and Day 7
Comparison of lipid profiles to the genotype of COVID-19 strains.
Day 1, Day 3 and Day 7
Search for binding of viral proteins to lipoproteins.
Time Frame: Day 1, Day 3 and Day 7
Search for binding of viral proteins to lipoproteins.
Day 1, Day 3 and Day 7

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Sebastien TANAKA, MD, PhD, Assistance Publique - Hôpitaux de Paris

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)

December 19, 2020

Primary Completion (ANTICIPATED)

January 5, 2022

Study Completion (ANTICIPATED)

July 1, 2022

Study Registration Dates

First Submitted

October 11, 2021

First Submitted That Met QC Criteria

November 8, 2021

First Posted (ACTUAL)

November 9, 2021

Study Record Updates

Last Update Posted (ACTUAL)

November 9, 2021

Last Update Submitted That Met QC Criteria

November 8, 2021

Last Verified

August 1, 2021

More Information

Terms related to this study

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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