LoCo-ImMet: Characterization of the Immunometabolic Signature in Long COVID-19.

Sponsor
University Hospital, Angers (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT05758480
Collaborator
(none)
100
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2
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Study Details

Study Description

Brief Summary

The primary objective of this study is to identify immunometabolic signatures associated with Long COVID in plasma and peripheral blood mononuclear cells (PBMC).

Condition or Disease Intervention/Treatment Phase
  • Biological: Blood sample (at inclusion and 6 months later)
  • Other: Patient questionnaires (at inclusion and 6 months later)
N/A

Detailed Description

The mechanisms underlying Long COVID remain poorly understood. Among the symptoms most frequently reported by patients with long COVID, some (fatigue, neurocognitive disorders, muscular weakness) are similar to those reported by patients with innate or acquired abnormalities in energy metabolism, suggesting that metabolic changes could play a role in the disease. On the other hand, other studies have shown that COVID-19 induces an immune dysregulation that could persist after recovery.

The hypothesis of this study is that there are subtle but detectable immunometabolic changes in plasma and PBMC of patients with long COVID. The identification of these specific signatures would help to better understand the physiopathology of this disease and to identify possible therapeutic strategies .

The primary objective of this study is to identify immunometabolic signatures in plasma and peripheral blood mononuclear cells (PBMC) of patients with long COVID, as compared to patients who recovered from COVID-19 without prolonged symptoms.

Study Design

Study Type:
Interventional
Anticipated Enrollment :
100 participants
Allocation:
Non-Randomized
Intervention Model:
Parallel Assignment
Intervention Model Description:
Two groups: Patients with Long COVID Control group composed of patients who recovered from COVID-19 without persistent symptoms. Each patient with Long COVID is paired with a matched control, based on age, sex, and date of COVID-19.Two groups:Patients with Long COVID Control group composed of patients who recovered from COVID-19 without persistent symptoms. Each patient with Long COVID is paired with a matched control, based on age, sex, and date of COVID-19.
Masking:
None (Open Label)
Primary Purpose:
Basic Science
Official Title:
Characterization of the Immunometabolic Signature in Long COVID-19.
Anticipated Study Start Date :
Apr 1, 2023
Anticipated Primary Completion Date :
Jan 1, 2024
Anticipated Study Completion Date :
Jan 1, 2024

Arms and Interventions

Arm Intervention/Treatment
Experimental: Patients with Long COVID

Biological: Blood sample (at inclusion and 6 months later)
(56ml of blood, 8 tubes) 3 heparin, 1 EDTA , 2 SST, 2 CPT

Other: Patient questionnaires (at inclusion and 6 months later)
(4 questionnaires) Symptoms in the last week, Fatigue Impact Scale (FIS), Short-Form 36 (SF-36) and Nijmegen.

Active Comparator: COVID-19 recovered patients (Control)

Biological: Blood sample (at inclusion and 6 months later)
(56ml of blood, 8 tubes) 3 heparin, 1 EDTA , 2 SST, 2 CPT

Other: Patient questionnaires (at inclusion and 6 months later)
(4 questionnaires) Symptoms in the last week, Fatigue Impact Scale (FIS), Short-Form 36 (SF-36) and Nijmegen.

Outcome Measures

Primary Outcome Measures

  1. Presence of immunometabolic signatures specific of Long COVID in the plasma and mononuclear cells [18 months]

    Statistical analyzes (multivariate) by Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) (Q2Ycum > 0.5, P-value (CV-ANOVA) ≤0.05, Q2Ycum, test permutations <0) or the median (AUROC test sets) ≥ 0.8 and the median of the p-values associated with the AUROCs of the test sets ≤ 0.05 in the plasma and/or the PBMCs.

  2. Concentration of metabolites and immune mediators in the plasma and mononuclear cells [18 months]

    Comparison of metabolites and immune mediators in the blood and PBMC of patients with long COVID will be compared with those of control patients using statistical tests after correction of the alpha risk.

Secondary Outcome Measures

  1. Changes in immuno-metabolic signatures 6 months after the initial assessment [18 months]

    Significant changes in concentration of metabolites and immune mediators 6 month after inclusion, in comparison with the initial assessment, will be identifed using paired statistical tests with correction of the alpha risk

  2. Proportion of patients with clinical improvement (return to normal life) at 6 months with correction of the immuno-metabolic signature [18 months]

    The correlation between clinical signs of long COVID and the immuno-metabolic signature specific of long COVID identified in the study will be assessed 6 months after inclusion.

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
Yes
A/ Inclusion Criteria:
  • For all patients:

  • Age > 18 years

  • Symptomatic COVID-19 diagnosed after 01JAN2021, confirmed by RT-PCR or Antigen test

  • Last SARS-CoV-2 infection diagnosed more than 12 weeks before inclusion

  • Patient covered by the French health insurance

  • Signature of the informed consent

  • For patient with Long COVID :

  • At least one of the following symptoms during the week preceding inclusion: abnormal fatigue, dyspnoea sine materia, abnormal pain (chest, joint, muscle, headache), unusual neurocognitive disorders (concentration disorders, "brain fog", language/memory disorders, paraesthesia)

  • Absence of Return to Usual Health after SARS-CoV-2 infection (patient declaration)

  • Absence of alternative diagnosis for the symptoms

  • For COVID-19 recovered patient (Control) :

  • None of the following symptoms in the 3 week before inclusion: abnormal fatigue, dyspnoea sine materia, abnormal pain (chest, joint, muscle, headache), unusual neurocognitive disorders (concentration disorders, "brain fog", language/memory disorders, paraesthesia)

  • Return to Usual Health after SARS-CoV-2 infection (patient declaration)

B/ Exclusion Criteria:
  • History of severe COVID-19 (Hospitalization)

  • Symptoms caused by sequelae of SARS-CoV-2 infection (in particular, persistence of lung parenchymal abnormalities : pulmonary fibrosis, persistent alveolitis on CT-Scan)

  • Significant Depression or anxiety symptoms, as assessed by a > 10 score on the A or D items of the Hospital anxiety and depression scale (HAD)

  • Presence of one of the following diseases:

  • Inborn errors of metabolism

  • estimated Glomerular filtration rate < 30 ml/min (MDRD)

  • Autoimmune disease

  • Immunosuppressive treatment or immune deficiency

  • Symptomatic heart failure

  • Respiratory failure (COPD stage ≥ 3 or oxygen therapy)

  • Solid cancer or active blood disease

  • Severe malnutrition (albumin < 30 g/L or weight loss ≥10% in 6 months)

  • Obesity with BMI ≥ 35 kg/m²

  • Diabetes not controlled by diet alone

  • Pregnant, breastfeeding or parturient women

  • Deprivation of liberty by judicial or administrative decision

  • Mandatory Psychiatric Care

  • Protected by decision of law

  • Unable to express consent

Contacts and Locations

Locations

Site City State Country Postal Code
1 Angers University Hospital Angers France 49933

Sponsors and Collaborators

  • University Hospital, Angers

Investigators

  • Principal Investigator: Vincent DUBEE, MD, PhD, Angers University Hospital
  • Principal Investigator: Valérie DUBUS, MD, Angers University Hospital

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
University Hospital, Angers
ClinicalTrials.gov Identifier:
NCT05758480
Other Study ID Numbers:
  • LoCo-ImMet
First Posted:
Mar 7, 2023
Last Update Posted:
Mar 10, 2023
Last Verified:
Mar 1, 2023
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by University Hospital, Angers

Study Results

No Results Posted as of Mar 10, 2023