Evidence map›Paper›PMID 19440342›Full record

ArticlePloS one2009

Identification of T-cell antigens specific for latent mycobacterium tuberculosis infection.

Sebastian D Schuck, Henrik Mueller, Frank Kunitz, Albert Neher, Harald Hoffmann, Kees L C M Franken, Dirk Repsilber, Tom H M Ottenhoff, Stefan H E Kaufmann, Marc Jacobsen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 2 pooled it
8.3field-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

68 citing papers in PubMed, 2 syntheses or guidelines pooled it, 141 citations in OpenAlex.

  1. Pooled it
  2. A Systematic Review on NovelFrontiers in immunology · 2018
    Pooled it
  3. Two-HitFrontiers in immunology · 2019
    Trial
  4. Targeting Latent Tuberculosis: Immunogenic Evaluation of aInternational journal of molecular sciences · 2026
    Article
  5. Immunodominant Tuberculosis Antigens Recognized by Human CD4Cold Spring Harbor perspectives in medicine · 2026
    Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. The Biological and Clinical Aspects of a Latent Tuberculosis Infection.Tropical medicine and infectious disease · 2022
    Review
  15. Review
  16. Review
  17. Review
  18. Identification andHeliyon · 2020
    Article
  19. Article
  20. Article

8 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 6 institutions in 2 countries.

Sebastian D SchuckDepartment of Immunology, Max Planck Institute for Infection Biology, Berlin, Germany.
Henrik Mueller
Frank Kunitz
Albert Neher
Harald Hoffmann
Kees L C M Franken
Dirk Repsilber
Tom H M Ottenhoff
Stefan H E Kaufmann
Marc Jacobsen
Max Planck Institute for Infection Biology · DEAsklepios Fachkliniken München-Gauting · DELeiden University Medical Center · NLHelios Klinikum Emil von Behring · DEMax Planck Society · DEZimmer Biomet (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundT-cell responses against dormancy-, resuscitation-, and reactivation-associated antigens of Mycobacterium tuberculosis are candidate biomarkers of latent infection in humans. METHODOLOGY/PRINCIPAL

findingsWe established an assay based on two rounds of in vitro restimulation and intracellular cytokine analysis that detects T-cell responses to antigens expressed during latent M. tuberculosis infection. Comparison between active pulmonary tuberculosis (TB) patients and healthy latently M. tuberculosis-infected donors (LTBI) revealed significantly higher T-cell responses against 7 of 35 tested M. tuberculosis latency-associated antigens in LTBI. Notably, T cells specific for Rv3407 were exclusively detected in LTBI but not in TB patients. The T-cell IFNgamma response against Rv3407 in individual donors was the most influential factor in discrimination analysis that classified TB patients and LTBI with 83% accuracy using cross-validation. Rv3407 peptide pool stimulations revealed distinct candidate epitopes in four LTBI.

conclusionsOur findings further support the hypothesis that the latency-associated antigens can be exploited as biomarkers for LTBI.

Indexed as

AdultAntigens, BacterialCells, CulturedEnzyme-Linked Immunosorbent AssayFemaleHumansMaleMiddle AgedMycobacterium tuberculosisTuberculosisYoung AdultAntigens, Bacterial

Identifiers

PMID19440342
PMCPMC2680040
OpenAlexW2042130810

What OpenQuestion holds

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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.