Literature DB >> 26030187

Mycobacteria-Specific Cytokine Responses Detect Tuberculosis Infection and Distinguish Latent from Active Tuberculosis.

Marc Tebruegge1,2,3,4, Binita Dutta3, Susan Donath1,5,3, Nicole Ritz1,2,3,6, Benjamin Forbes3, Kattia Camacho-Badilla2, Vanessa Clifford1,3, Christel Zufferey3, Roy Robins-Browne1,7,3, Willem Hanekom8, Stephen M Graham1,3,9, Tom Connell1,2,3, Nigel Curtis1,2,3.   

Abstract

RATIONALE: Current immunodiagnostic tests for tuberculosis (TB), including the tuberculin skin test and IFN-γ release assay (IGRA), have significant limitations, which include their inability to distinguish between latent TB infection (LTBI) and active TB, a distinction critical for clinical management.
OBJECTIVES: To identify mycobacteria-specific cytokine biomarkers that characterize TB infection, determine their diagnostic performance characteristics, and establish whether these biomarkers can distinguish between LTBI and active TB.
METHODS: A total of 149 children investigated for TB infection were recruited; all participants underwent a tuberculin skin test and QuantiFERON-TB Gold assay. In parallel, whole-blood assays using early secretory antigenic target-6, culture filtrate protein-10, and PPD as stimulatory antigens were undertaken, and cytokine responses were determined by xMAP multiplex assays.
MEASUREMENTS AND MAIN RESULTS: IFN-γ, interferon-inducible protein-10 (IP-10), tumor necrosis factor (TNF)-α, IL-1ra, IL-2, IL-13, and MIP-1β (macrophage inflammatory protein-1β) responses were significantly higher in LTBI and active TB cases than in TB-uninfected individuals, irrespective of the stimulant. Receiver operating characteristic analyses showed that IP-10, TNF-α, and IL-2 responses achieved high sensitivity and specificity for the distinction between TB-uninfected and TB-infected individuals. TNF-α, IL-1ra, and IL-10 responses had the greatest ability to distinguish between LTBI and active TB cases; the combinations of TNF-α/IL-1ra and TNF-α/IL-10 achieved correct classification of 95.5% and 100% of cases, respectively.
CONCLUSIONS: We identified several mycobacteria-specific cytokine biomarkers with the potential to be exploited for immunodiagnosis. Incorporation of these biomarkers into future immunodiagnostic assays for TB could result in substantial gains in sensitivity and allow the distinction between LTBI and active TB based on a blood test alone.

Entities:  

Keywords:  biomarker; child; cytokines; diagnosis; tuberculosis

Mesh:

Substances:

Year:  2015        PMID: 26030187     DOI: 10.1164/rccm.201501-0059OC

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


  36 in total

1.  Calcineurin Inhibitors and Variation in the Performance of Interferon-γ Release Assays Used to Detect Tuberculosis Infection.

Authors:  Edward Barton; Yifang Gao; Darran Ball; Katy Fidler; Nigel Klein; Nigel Curtis; Vanessa Clifford; Ben G Marshall; Andrew Chancellor; Salah Mansour; Paul Elkington; Marc Tebruegge
Journal:  Ann Am Thorac Soc       Date:  2019-06

Review 2.  Update in Tuberculosis/Pulmonary Infections 2015.

Authors:  Serena P Koenig; Jennifer Furin
Journal:  Am J Respir Crit Care Med       Date:  2016-07-15       Impact factor: 21.405

Review 3.  Biomarkers for Detecting Resilience against Mycobacterial Disease in Animals.

Authors:  Kathryn Wright; Karren Plain; Auriol Purdie; Bernadette M Saunders; Kumudika de Silva
Journal:  Infect Immun       Date:  2019-12-17       Impact factor: 3.441

4.  Alternative Quantiferon cytokines for diagnosis of children with active tuberculosis and HIV co-infection in Ghana.

Authors:  Christian Lundtoft; Anthony Afum-Adjei Awuah; Norman Nausch; Anthony Enimil; Ertan Mayatepek; Ellis Owusu-Dabo; Marc Jacobsen
Journal:  Med Microbiol Immunol       Date:  2017-03-15       Impact factor: 3.402

Review 5.  Cytokines and Chemokines in Mycobacterium tuberculosis Infection.

Authors:  Racquel Domingo-Gonzalez; Oliver Prince; Andrea Cooper; Shabaana A Khader
Journal:  Microbiol Spectr       Date:  2016-10

6.  Added Value of IP-10 as a Read-Out of Mycobacterium tuberculosis: Specific Immunity in Young Children.

Authors:  Synne Jenum; Sivakumaran Dhanasekaran; Christian Ritz; Ragini Macaden; T Mark Doherty; Harleen M S Grewal
Journal:  Pediatr Infect Dis J       Date:  2016-12       Impact factor: 2.129

7.  Screening tests for active pulmonary tuberculosis in children.

Authors:  Bryan Vonasek; Tara Ness; Yemisi Takwoingi; Alexander W Kay; Susanna S van Wyk; Lara Ouellette; Ben J Marais; Karen R Steingart; Anna M Mandalakas
Journal:  Cochrane Database Syst Rev       Date:  2021-06-28

8.  Combined Analysis of IFN-γ, IL-2, IL-5, IL-10, IL-1RA and MCP-1 in QFT Supernatant Is Useful for Distinguishing Active Tuberculosis from Latent Infection.

Authors:  Maho Suzukawa; Shunsuke Akashi; Hideaki Nagai; Hiroyuki Nagase; Hiroyuki Nakamura; Hirotoshi Matsui; Akira Hebisawa; Ken Ohta
Journal:  PLoS One       Date:  2016-04-01       Impact factor: 3.240

Review 9.  Human Ascariasis: Diagnostics Update.

Authors:  Poppy H L Lamberton; Peter M Jourdan
Journal:  Curr Trop Med Rep       Date:  2015-10-03

10.  High IFN-γ Release and Impaired Capacity of Multi-Cytokine Secretion in IGRA Supernatants Are Associated with Active Tuberculosis.

Authors:  Séverine Carrère-Kremer; Pierre-Alain Rubbo; Amandine Pisoni; Sophie Bendriss; Grégory Marin; Marianne Peries; Karine Bolloré; Dominique Terru; Sylvain Godreuil; Arnaud Bourdin; Philippe Van de Perre; Edouard Tuaillon
Journal:  PLoS One       Date:  2016-09-07       Impact factor: 3.240

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