Literature DB >> 26253021

Assessment of CD27 expression as a tool for active and latent tuberculosis diagnosis.

Elisa Petruccioli1, Linda Petrone1, Valentina Vanini1, Gilda Cuzzi1, Assunta Navarra2, Gina Gualano3, Fabrizio Palmieri3, Enrico Girardi2, Delia Goletti4.   

Abstract

UNLABELLED: There are still no reliable tests to distinguish active tuberculosis (TB) from latent TB infection (LTBI). Assessment of CD27 modulation on CD4⁺ T-cells has been suggested as a tool to diagnose different TB stages.
OBJECTIVES: To use several cytometric approaches to evaluate CD27 expression on Mycobacterium tuberculosis (Mtb)-specific CD4⁺ T-cells to differentiate TB stages.
METHODS: 55 HIV-uninfected subjects were enrolled: 13 active TB; 12 cured TB; 30 LTBI. Whole blood was stimulated with RD1-proteins or Cytomegalovirus-lysate (CMV). Interferon (IFN)-γ response was evaluated by cytometry. The proportion of CD27(±) within the IFN-γ⁺ CD4⁺ T-cells or RATIO of the CD27-median fluorescence intensity (MFI) of CD4⁺ T-cells over the CD27 MFI of IFN-γ⁺ CD4⁺ T-cells was evaluated.
RESULTS: The greatest diagnostic accuracy in discriminating active TB vs. LTBI or cured TB was reached by evaluating the CD27(+) CD45RA(-) cells within the IFN-γ⁺ CD4⁺ T-cell subset (76.92 sensitivity for both, and 90% and 91.67% specificity, respectively), although the use of the CD27 MFI RATIO allows for stricter data analysis, independent of the operator.
CONCLUSIONS: the study of CD27 expression using different approaches, whether it involves evaluation of CD45RA expression or not, is a robust biomarker for discriminating TB stages.
Copyright © 2015 The British Infection Association. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomarker; CD27; Diagnosis; LTBI; Tuberculosis

Mesh:

Substances:

Year:  2015        PMID: 26253021     DOI: 10.1016/j.jinf.2015.07.009

Source DB:  PubMed          Journal:  J Infect        ISSN: 0163-4453            Impact factor:   6.072


  22 in total

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3.  Impaired IFN-α-mediated signal in dendritic cells differentiates active from latent tuberculosis.

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4.  Analysis of the Phenotype of Mycobacterium tuberculosis-Specific CD4+ T Cells to Discriminate Latent from Active Tuberculosis in HIV-Uninfected and HIV-Infected Individuals.

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Review 7.  Correlates of tuberculosis risk: predictive biomarkers for progression to active tuberculosis.

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Review 9.  Th1 and Th17 Cells in Tuberculosis: Protection, Pathology, and Biomarkers.

Authors:  I V Lyadova; A V Panteleev
Journal:  Mediators Inflamm       Date:  2015-11-10       Impact factor: 4.711

10.  HIV Progression Perturbs the Balance of the Cell-Mediated and Anti-Inflammatory Adaptive and Innate Mycobacterial Immune Response.

Authors:  Andrew R DiNardo; Anna M Mandalakas; Gugu Maphalala; Godwin Mtetwa; Temhlanga Mndzebele; Piluca Ustero; Makhosazana Hlatshwayo; Emily M Mace; Jordan S Orange; George Makedonas
Journal:  Mediators Inflamm       Date:  2016-03-02       Impact factor: 4.711

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