Literature DB >> 33406011

Antigen-Specific T-Cell Activation Distinguishes between Recent and Remote Tuberculosis Infection.

Cheleka A M Mpande1, Munyaradzi Musvosvi1, Virginie Rozot1, Boitumelo Mosito1, Timothy D Reid1, Constance Schreuder1, Tessa Lloyd1, Nicole Bilek1, Huang Huang2, Gerlinde Obermoser2, Mark M Davis2, Morten Ruhwald3,4, Mark Hatherill1, Thomas J Scriba1, Elisa Nemes1.   

Abstract

Rationale: Current diagnostic tests fail to identify individuals at higher risk of progression to tuberculosis disease, such as those with recent Mycobacterium tuberculosis infection, who should be prioritized for targeted preventive treatment.
Objectives: To define a blood-based biomarker, measured with a simple flow cytometry assay, that can stratify different stages of tuberculosis infection to infer risk of disease.
Methods: South African adolescents were serially tested with QuantiFERON-TB Gold to define recent (QuantiFERON-TB conversion <6 mo) and persistent (QuantiFERON-TB+ for >1 yr) infection. We defined the ΔHLA-DR median fluorescence intensity biomarker as the difference in HLA-DR expression between IFN-γ+ TNF+ Mycobacterium tuberculosis-specific T cells and total CD3+ T cells. Biomarker performance was assessed by blinded prediction in untouched test cohorts with recent versus persistent infection or tuberculosis disease and by unblinded analysis of asymptomatic adolescents with tuberculosis infection who remained healthy (nonprogressors) or who progressed to microbiologically confirmed disease (progressors). Measurements and Main
Results: In the test cohorts, frequencies of Mycobacterium tuberculosis-specific T cells differentiated between QuantiFERON-TB- (n = 25) and QuantiFERON-TB+ (n = 47) individuals (area under the receiver operating characteristic curve, 0.94; 95% confidence interval, 0.87-1.00). ΔHLA-DR significantly discriminated between recent (n = 20) and persistent (n = 22) QuantiFERON-TB+ (0.91; 0.83-1.00); persistent QuantiFERON-TB+ and newly diagnosed tuberculosis (n = 19; 0.99; 0.96-1.00); and tuberculosis progressors (n = 22) and nonprogressors (n = 34; 0.75; 0.63-0.87). However, ΔHLA-DR median fluorescent intensity could not discriminate between recent QuantiFERON-TB+ and tuberculosis (0.67; 0.50-0.84). Conclusions: The ΔHLA-DR biomarker can identify individuals with recent QuantiFERON-TB conversion and those with disease progression, allowing targeted provision of preventive treatment to those at highest risk of tuberculosis. Further validation studies of this novel immune biomarker in various settings and populations at risk are warranted.

Entities:  

Keywords:  QuantiFERON-TB Gold; biomarker; recent tuberculosis infection; tuberculosis infection; tuberculosis risk

Year:  2021        PMID: 33406011     DOI: 10.1164/rccm.202007-2686OC

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


  7 in total

1.  Mycobacterium tuberculosis Immune Response in Patients With Immune-Mediated Inflammatory Disease.

Authors:  Elisa Petruccioli; Linda Petrone; Teresa Chiacchio; Chiara Farroni; Gilda Cuzzi; Assunta Navarra; Valentina Vanini; Umberto Massafra; Marianna Lo Pizzo; Giuliana Guggino; Nadia Caccamo; Fabrizio Cantini; Fabrizio Palmieri; Delia Goletti
Journal:  Front Immunol       Date:  2021-08-10       Impact factor: 7.561

2.  Relationship of SARS-CoV-2-specific CD4 response to COVID-19 severity and impact of HIV-1 and tuberculosis coinfection.

Authors:  Catherine Riou; Elsa du Bruyn; Cari Stek; Remy Daroowala; Rene T Goliath; Fatima Abrahams; Qonita Said-Hartley; Brian W Allwood; Nei-Yuan Hsiao; Katalin A Wilkinson; Cecilia S Lindestam Arlehamn; Alessandro Sette; Sean Wasserman; Robert J Wilkinson
Journal:  J Clin Invest       Date:  2021-06-15       Impact factor: 14.808

3.  Activation Phenotype of Mycobacterium tuberculosis-Specific CD4+ T Cells Promoting the Discrimination Between Active Tuberculosis and Latent Tuberculosis Infection.

Authors:  Ying Luo; Ying Xue; Liyan Mao; Qun Lin; Guoxing Tang; Huijuan Song; Wei Liu; Shutao Tong; Hongyan Hou; Min Huang; Renren Ouyang; Feng Wang; Ziyong Sun
Journal:  Front Immunol       Date:  2021-08-26       Impact factor: 7.561

4.  Combination of HLA-DR on Mycobacterium tuberculosis-Specific Cells and Tuberculosis Antigen/Phytohemagglutinin Ratio for Discriminating Active Tuberculosis From Latent Tuberculosis Infection.

Authors:  Ying Luo; Ying Xue; Guoxing Tang; Qun Lin; Huijuan Song; Wei Liu; Botao Yin; Jin Huang; Wei Wei; Liyan Mao; Feng Wang; Ziyong Sun
Journal:  Front Immunol       Date:  2021-11-11       Impact factor: 7.561

5.  Study of CD27, CD38, HLA-DR and Ki-67 immune profiles for the characterization of active tuberculosis, latent infection and end of treatment.

Authors:  Sergio Díaz-Fernández; Raquel Villar-Hernández; Zoran Stojanovic; Marco Fernández; Maria Luiza De Souza Galvão; Guillermo Tolosa; Adrián Sánchez-Montalva; Jorge Abad; María Ángeles Jiménez-Fuentes; Guillem Safont; Iris Romero; Josefina Sabrià; Cristina Prat; Jose Domínguez; Irene Latorre
Journal:  Front Microbiol       Date:  2022-07-22       Impact factor: 6.064

6.  Mycobacterium tuberculosis-Specific T Cell Functional, Memory, and Activation Profiles in QuantiFERON-Reverters Are Consistent With Controlled Infection.

Authors:  Cheleka A M Mpande; Pia Steigler; Tessa Lloyd; Virginie Rozot; Boitumelo Mosito; Constance Schreuder; Timothy D Reid; Nicole Bilek; Morten Ruhwald; Jason R Andrews; Mark Hatherill; Francesca Little; Thomas J Scriba; Elisa Nemes
Journal:  Front Immunol       Date:  2021-08-30       Impact factor: 7.561

Review 7.  Mind the gap - Managing tuberculosis across the disease spectrum.

Authors:  Hanif Esmail; Liana Macpherson; Anna K Coussens; Rein M G J Houben
Journal:  EBioMedicine       Date:  2022-03-23       Impact factor: 11.205

  7 in total

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