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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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Mendeley readers

Mendeley readers

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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 November 2011.
All research outputs
#15,238,442
of 22,656,971 outputs
Outputs from PLOS ONE
#129,737
of 193,432 outputs
Outputs of similar age
#96,661
of 142,328 outputs
Outputs of similar age from PLOS ONE
#1,705
of 2,670 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,432 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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