ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2020
Differential Expression of Activation Markers by Mycobacterium tuberculosis-specific CD4+ T Cell Distinguishes Extrapulmonary From Pulmonary Tuberculosis and Latent Infection.
Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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31 citing papers in PubMed, 52 citations in OpenAlex.
- Elucidating the functional dynamics of DNASE1L2 intron retention in tuberculosis progression.Chinese medical journal · 2026Article
- Optimisation and application of a T-cell antigen-specific activation assay as diagnostic and treatment-monitoring tool for tuberculosis.ERJ open research · 2026Article
- Detection for New Biomarkers of Tuberculosis Infection Activity Using Machine Learning Methods.Diseases (Basel, Switzerland) · 2026Review
- Host- and pathogen-related determinants of pulmonaryEuropean respiratory review : an official journal of the European Respiratory Society · 2026Review
- Machine learning of immune-related laboratory indicators enables discrimination between pulmonary and extrapulmonary tuberculosis.Frontiers in medicine · 2025Article
- Differentiating Latent Tuberculosis from Active Tuberculosis Through Activation Phenotypes and Chemokine Markers HLA-DR, CD38, MCP-1, and RANTES: A Systematic Review and Meta-Analysis.Biomarker insights · 2025Article
- Evidence for immune activation in pathogenesis of the HLA class II associated disease, podoconiosis.Nature communications · 2024Article
- Changes of Mycobacterium tuberculosis specific antigen-stimulated CD27European journal of medical research · 2024Article
- Identification of diagnostic biomarkers correlate with immune infiltration in extra-pulmonary tuberculosis by integrating bioinformatics and machine learning.Frontiers in microbiology · 2024Article
- ImpairedFrontiers in immunology · 2024Article
- Blood and Site of Disease Inflammatory Profiles Differ in Patients With Pericardial Tuberculosis and Human Immunodeficiency Virus Type 1.Open forum infectious diseases · 2023Article
- Challenges and the Way forward in Diagnosis and Treatment of Tuberculosis Infection.Tropical medicine and infectious disease · 2023Review
- Diagnostic biomarkers for active tuberculosis: progress and challenges.EMBO molecular medicine · 2022Review
- Evaluation of Mycobacterium tuberculosis specific antigen-stimulated CD27BMC infectious diseases · 2022Article
- Article
- Towards Accurate Point-of-Care Tests for Tuberculosis in Children.Pathogens (Basel, Switzerland) · 2022Review
- Persistent expression of activation markers on Mycobacterium tuberculosis-specific CD4 T cells in smear negative TB patients.PloS one · 2022Article
- Study of CD27, CD38, HLA-DR and Ki-67 immune profiles for the characterization of active tuberculosis, latent infection and end of treatment.Frontiers in microbiology · 2022Article
- Comparison of the frequency and phenotypic profile ofFrontiers in immunology · 2022Article
- In-depth systems biological evaluation of bovine alveolar macrophages suggests novel insights into molecular mechanisms underlyingFrontiers in microbiology · 2022Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundDiagnosis of active tuberculosis (ATB) currently relies on detection of Mycobacterium tuberculosis (Mtb). Identifying patients with extrapulmonary TB (EPTB) remains challenging because microbiological confirmation is often not possible. Highly accurate blood-based tests could improve diagnosis of both EPTB and pulmonary TB (PTB) and timely initiation of anti-TB therapy.
methodsA case-control study was performed using discriminant analyses to validate an approach using Mtb-specific CD4+T-cell activation markers in blood to discriminate PTB and EPTB from latent TB infection (LTBI) as well as EPTB from PTB in 270 Brazilian individuals. We further tested the effect of human immunodeficiency virus (HIV) coinfection on diagnostic performance. Frequencies of interferon-γ +CD4+T cells expressing CD38, HLADR, and/or Ki67 were assessed by flow cytometry.
resultsEPTB and PTB were associated with higher frequencies of CD4+T cells expressing CD38, HLADR, or Ki67 compared with LTBI (all P values < .001). Moreover, frequencies of HLADR+ (P = .03) or Ki67+ (P < .001) cells accurately distinguished EPTB from PTB. HIV infection did not affect the capacity of these markers to distinguish ATB from LTBI or EPTB from PTB.
conclusionsCell activation markers in Mtb-specific CD4+T cells distinguished ATB from LTBI and EPTB from PTB, regardless of HIV infection status. These parameters provide an attractive approach for developing blood-based diagnostic tests for both active and latent TB.
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