Mycobacteriology
Use of several immunological markers to model the probability of active tuberculosis

https://doi.org/10.1016/j.diagmicrobio.2016.06.007Get rights and content

Highlights

  • Active TB associates with Mycobacterium tuberculosis-specific CD45RA-CD27 CD4+ IFNγ+ T-cells

  • Active TB associates with M. tuberculosis-specific CD27 CD4+ IFN-γ+ T-cells.

  • Active TB associates with a high CD27 MFI RATIO on Mtb-specific CD4+ T-cells.

  • Combination of the cytometric tests increases accuracy in distinguishing active TB from LTBI.

Abstract

Blood-based biomarkers tests are attractive alternative for diagnosing tuberculosis to assays depending on mycobacteria detection. Given several immunological markers we used logistic regression to model the probability of active tuberculosis in a cohort of patients with active or latent tuberculosis, showing an increased accuracy in distinguishing active from latent tuberculosis.

Section snippets

Acknowledgments

The authors are grateful to all the patients, nurses (in particular Sara Pantanella, Daniela Milordo, Emanuela Ercoli, Giuliana Rialti, Immacolata Mauceri) and physicians who helped to perform this study. We are deeply grateful to Ms Andrea Baker (INMI, Rome, Italy) and Dr Ilaria Pepponi for the editing. The study was supported by grants from the Italian Ministry of Health: “Ricerca Corrente” and a grant from the European Union: HEALTH-F3-2009-241642 and EC FP7 NEWTBVAC (contract no.

References (17)

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