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Monitoring CD27 Expression to Evaluate Mycobacterium Tuberculosis Activity in HIV-1 Infected Individuals In Vivo

Overview of attention for article published in PLOS ONE, November 2011
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Title
Monitoring CD27 Expression to Evaluate Mycobacterium Tuberculosis Activity in HIV-1 Infected Individuals In Vivo
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0027284
Pubmed ID
Authors

Alexandra Schuetz, Antelmo Haule, Klaus Reither, Njabulo Ngwenyama, Andrea Rachow, Andreas Meyerhans, Leonard Maboko, Richard A. Koup, Michael Hoelscher, Christof Geldmacher

Abstract

The level of bacterial activity is only poorly defined during asymptomatic Mycobacterium tuberculosis (MTB) infection. The objective was to study the capacity of a new biomarker, the expression of the T cell maturation marker CD27 on MTB-specific CD4 T cells, to identify active tuberculosis (TB) disease in subjects from a MTB and HIV endemic region. The frequency and CD27 expression of circulating MTB-specific CD4 T cells was determined in 96 study participants after stimulation with purified protein derivative (PPD) using intracellular cytokine staining for IFNgamma (IFNγ). Subjects were then stratified by their TB and HIV status. Within PPD responders, a CD27(-) phenotype was associated with active TB in HIV(-) (p = 0.0003) and HIV(+) (p = 0.057) subjects, respectively. In addition, loss of CD27 expression preceded development of active TB in one HIV seroconverter. Interestingly, in contrast to HIV(-) subjects, MTB-specific CD4 T cell populations from HIV(+) TB-asymptomatic subjects were often dominated by CD27(-) cells. These data indicate that down-regulation of CD27 on MTB-specific CD4 T cell could be used as a biomarker of active TB, potentially preceding clinical TB disease. Furthermore, these data are consistent with the hypothesis that late, chronic HIV infection is frequently associated with increased mycobacterial activity in vivo. The analysis of T cell maturation and activation markers might thus be a useful tool to monitor TB disease progression.

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The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 65 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 23%
Researcher 14 21%
Student > Ph. D. Student 8 12%
Student > Postgraduate 7 11%
Student > Doctoral Student 4 6%
Other 10 15%
Unknown 8 12%
Readers by discipline Count As %
Medicine and Dentistry 23 35%
Immunology and Microbiology 14 21%
Agricultural and Biological Sciences 12 18%
Biochemistry, Genetics and Molecular Biology 5 8%
Nursing and Health Professions 1 2%
Other 1 2%
Unknown 10 15%