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Characterization of the Immunometabolic Signature in Long COVID-19.

Characterization of the Immunometabolic Signature in Long COVID-19.

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05758480
Acronym
LoCo-ImMet
Enrollment
62
Registered
2023-03-07
Start date
2023-05-24
Completion date
2025-11-03
Last updated
2026-07-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Long COVID

Keywords

Long COVID, immunometabolic, immunometabolic signatures

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).

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.

Interventions

BIOLOGICALBlood sample (at inclusion and 6 months later)

(56ml of blood, 8 tubes) 3 heparin, 1 EDTA , 2 SST, 2 CPT

OTHERPatient 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.

Sponsors

University Hospital, Angers
Lead SponsorOTHER_GOV

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
BASIC_SCIENCE
Masking
NONE

Intervention model description

Two groups: 1. Patients with Long COVID 2. 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.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

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

Design outcomes

Primary

MeasureTime frameDescription
Presence of immunometabolic signatures specific of Long COVID in the plasma and mononuclear cells18 monthsStatistical 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.
Concentration of metabolites and immune mediators in the plasma and mononuclear cells18 monthsComparison 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

MeasureTime frameDescription
Changes in immuno-metabolic signatures 6 months after the initial assessment18 monthsSignificant 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
Proportion of patients with clinical improvement (return to normal life) at 6 months with correction of the immuno-metabolic signature18 monthsThe 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.

Countries

France

Contacts

PRINCIPAL_INVESTIGATORVincent DUBEE, MD, PhD

University Hospital, Angers

PRINCIPAL_INVESTIGATORValérie DUBUS, MD

University Hospital, Angers

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 21, 2026