Evidence map›Paper›PMID 23966657›Full record

ArticleThe Journal of infectious diseases2013

T-cell immunophenotyping distinguishes active from latent tuberculosis.

Katrina M Pollock, Hilary S Whitworth, Damien J Montamat-Sicotte, Lisa Grass, Graham S Cooke, Moses S Kapembwa, Onn M Kon, Robert D Sampson, Graham P Taylor, Ajit Lalvani

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in The Journal of infectious diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 1 synthesis or guideline pooled it, 104 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Tissue-specific T cell profiles inFrontiers in tuberculosis · 2025
    Article
  10. Article
  11. Memory stem CD8Frontiers in cellular and infection microbiology · 2024
    Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. mBio · 2021
    Article
  20. Article

6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Katrina M PollockTuberculosis Research Centre, Department of Respiratory Medicine, National Heart and Lung Institute, Imperial College London, United Kingdom.
Hilary S Whitworth
Damien J Montamat-Sicotte
Lisa Grass
Graham S Cooke
Moses S Kapembwa
Onn M Kon
Robert D Sampson
Graham P Taylor
Ajit Lalvani
National Institutes of Health · USImperial College London · GBImperial College Healthcare NHS Trust · GBNorthwick Park Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChanges in the phenotype and function of Mycobacterium tuberculosis (M. tuberculosis)-specific CD4+ and CD8+ T-cell subsets in response to stage of infection may allow discrimination between active tuberculosis and latent tuberculosis infection.

methodsA prospective comparison of M. tuberculosis-specific cellular immunity in subjects with active tuberculosis and latent tuberculosis infection, with and without human immunodeficiency virus (HIV) coinfection. Polychromatic flow cytometry was used to measure CD4+ and CD8+ T-cell subset phenotype and secretion of interferon γ (IFN-γ), interleukin 2 (IL-2), and tumor necrosis factor α (TNF-α).

resultsFrequencies of CD4+ and CD8+ cells secreting IFN-γ-only, TNF-α-only and dual IFN-γ/TNF-α were greater in active tuberculosis vs latent tuberculosis infection. All M. tuberculosis-specific CD4+ subsets, with the exception of IL-2-only cells, switched from central to effector memory phenotype in active tuberculosis vs latent tuberculosis infection, accompanied by a reduction in IL-7 receptor α (CD127) expression. The frequency of PPDspecific CD4+ TNF-α-only-secreting T cells with an effector phenotype accurately distinguished active tuberculosis from latent tuberculosis infection with an area under the curve of 0.99, substantially more discriminatory than measurement of function alone.

conclusionsCombined measurement of T-cell phenotype and function defines a highly discriminatory biomarker of tuberculosis disease activity. Unlocking the diagnostic and monitoring potential of this combined approach now requires validation in large-scale prospective studies.

Indexed as

ImmunophenotypingAdultBiomarkersCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesFemaleHIVHIV InfectionsHumansInterferon-gammaInterleukin-2Latent TuberculosisMaleMiddle AgedMycobacterium tuberculosisPhenotypeBiomarkersInterferon-gammaInterleukin-2Receptors, Interleukin-7Tumor Necrosis Factor-alpha

Identifiers

PMID23966657
PMCPMC3749005
OpenAlexW2102799596

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.