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NCT Number: NCT04271397

Immunological Biomarkers in Tuberculosis Management

Tuberculosis (TB) is the leading cause of death by infectious disease in the world, responsible for 1.6 million deaths in 2017. The treatment of active TB requires at least a 6-month combined antibiotic regimen and can cause heavy side effects. As a consequence, treatment adherence is not optimal, particularly in primary care settings. Rapid and reliable monitoring of anti-TB treatment adherence and efficacy is critical to provide adequate patient care and curb relapse episodes and acquired drug resistance.

Investigators propose to evaluate the performance in terms of diagnosis accuracy and outcome prediction of four new biomarkers of active TB: 1) a double IGRA (Interferon Gamma Release Assay) including QuantiFERON-Gold Plus® and HBHA; 2) a whole blood transcriptomic analysis of mRNA (messenger Ribonucleic acid) expression of a panel of 150 genes; 3) a whole blood proteomic analysis; 4) an ex vivo immunophenotyping using flow and mass cytometry to characterize the lymphocyte populations.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Service des Maladies Infectieuses - Hôpital de la Croix Rousse - Hospices Civils de Lyon

Lyon, 69004, France

Location status: Recruiting

Location contact

Anne CONRAD, CCU-AH

SUB_INVESTIGATOR

Florence ADER, M.D., Ph.D.

CONTACT

[email protected]

04 72 07 11 07 ext. +33

Florence ADER, M.D., Ph.D.

PRINCIPAL_INVESTIGATOR

Oana DUMITRESCU, M.D., PhD

CONTACT

[email protected]

04 72 07 11 07 ext. +33

Thomas PERPOINT, PH

SUB_INVESTIGATOR

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

Adult ≥ 18 year-old

  • Patients having given written consent
  • Patients accepting a follow up ≥ 6 months
  • Proven active tuberculosis (positive direct examination and/or PCR)
  • Latent tuberculosis infection assessed by positive IGRA

Exclusion criteria

  • Malignant solid tumor
  • Malignant hemopathy
  • Solid organ transplantation or hematopoietic stem cell transplantation
  • Immunosuppressive treatments (i.e. biologics, calcineurin inhibitors, corticosteroids)
  • Auto-inflammatory disease
  • Chronic liver diseases
  • Chronic infection with HIV, HCV (hepatitis C virus) or HBV (hepatitis B virus)
  • Antimycobacterial treatment initiated > 7 days
  • Pregnancy or breastfeeding
  • Refusal to participate to the study
  • Persons deprived of their liberty by judicial or administrative decision
  • Protected adults
  • Patients not affiliated to health-care social security
  • The homeless

Treatment and study plan

Multiple blood samples

Other

Patients with active tuberculosis will have 5 research-specific blood samples: V1, (baseline) immediately before initiating anti-tuberculosis treatment, then 4 samples during anti-tuberculosis treatment and follow-up, i.e. at 48 hours (V2), 15 days (V3), 2 months (V4) and 6 months (V5) after initiation of treatment. The total volume of each sample will be 20 mL for a total of 100 mL.

Single blood sample

Other

Patients with Latent tuberculosis infection will have a single specific sample of 14 mL.

Primary outcomes

  1. Concordance of the kinetics of biomarkers with the evolution of the disease

    Time frame: 6 months

    It is a composite outcome. Evolution of the disease is defined by clinical status, radiological computed tomography evolution and negation of the mycobacterial culture of routine respiratory samples.

    The biomarkers assessed are:

    • a combination of IGRAs test (QuantiFERON-Gold Plus and HBHA); 2) a transcriptomic signature; 3) a protein signature; 4) a phenotypic signature (by implementing an immunomonitoring approach).

Secondary outcomes

  1. Analytical characteristics of a combination of 2 IGRAs (QuantiFERON-TB Gold Plus (QFT-P) and HBHA) in the diagnosis / prognosis of tuberculosis disease.

    Time frame: 6 months

    Measurement of gamma interferon responses induced by different conditions of ex-vivo stimulation of the blood sample by specific Mtb peptides. This biomarker will be confronted with the evolution of the evolution of the disease as defined in the primary outcome measure.

  2. Performance of an immunomonitoring test by mass or flow cytometry in the diagnosis / prognosis of tuberculosis by measuring the dynamics of the blood population of T lymphocytes over time.

    Time frame: 6 months

    Qualitative and quantitative monitoring of the different subpopulations of immune cells (CD4 + T cells, CD8 +(cluster of differentiation 8) T cells, MAIT, Th1, Th2, Th1, Tfh, Treg, naive, effector and memory cells) during anti-tuberculosis treatment will be carried out. The analytical characteristics (sensitivity, specificity, VPN and VPP) of this immunomonitoring tool will be determined by comparing the abundance of different cellular phenotypes with the evolution of the disease as defined in the primary outcome measure.

  3. Evaluate the performance of a test based on the interpretation of a transcriptomic signature in plasma in the diagnosis / prognosis of TB.

    Time frame: 6 months

    A transcriptomic signature in plasma is a set of genes involved in the immune response specifically deregulated during the different stages of infection and disease progression.

    This assessment will be made from blood samples. The transcriptomic signature composed of 16 genes will be evaluated during the anti-tuberculosis treatment and confronted with the evolution of the disease as defined in the primary outcome measure.

  4. Assess the performance of a test based on the interpretation of a protein signature in the diagnosis / prognosis of tuberculosis.

    Time frame: 6 months

    A protein signature is composed of cytokines and chemokines, also deregulated during the various stages of infection and progression of the disease.

    This assessment will be made from blood samples. The protein signature composed of cytokines / chemokines of interest (ie IP-10, TNF-a (tumor necrosis factor - a), IL-1(interleukin - 1), IL-18, IL-12, CCL4, IL-2, IFN-g (interferon - g),…) will be evaluated during the anti-tuberculosis treatment and confronted with the evolution of the disease as defined in the primary outcome measure.

  5. Determine the achievement of target concentrations of rifampicin

    Time frame: 6 months

    To determine the achievement of target concentrations of rifampicin the pharmacokinetic profile of rifampicin will be evaluate by a combination of parameters such as the area under the curve, maximum and minimum concentration, clearance, volume of distribution, modeled from three concentration measurements at each visit. (V2, V3 and V4).

  6. Establish the rate of metabolic self-induction of rifampicin

    Time frame: 6 months

    To establish the rate of metabolic self-induction of rifampicin the pharmacokinetic profile of rifampicin will be evaluate by a combination of parameters such as the area under the curve, maximum and minimum concentration, clearance, volume of distribution, modeled from three concentration measurements at each visit. (V2, V3 and V4).

Study contacts

Contact information is provided by the study sponsor or research team.

Florence ADER, M.D., Ph.D

CONTACT

[email protected]

04 72 07 11 07 ext. +33

Oana DUMITRESCU, M.D., PhD

CONTACT

[email protected]

04 72 07 11 07 ext. +33

Sponsors and collaborators

Lead sponsor

Hospices Civils de Lyon

Other

Registry information

Official study title

Optimization of Tuberculosis Diagnosis and Management Using Four Immunological Biomarkers

Acronym: OPTI-4TB

Important dates

Study start
2019
Primary completion
2026
Study completion
2026
First posted
Feb 17, 2020
Registry last updated
Aug 12, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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