Evidence map›Paper›PMID 26339657›Full record

ArticleJournal of immunology research2015

Multifunctional Analysis of CD4+ T-Cell Response as Immune-Based Model for Tuberculosis Detection.

Miriam Lichtner, Claudia Mascia, Ilaria Sauzullo, Fabio Mengoni, Serena Vita, Raffaella Marocco, Valeria Belvisi, Gianluca Russo, Vincenzo Vullo, Claudio M Mastroianni

Open access · goldAbstract read
In one paragraph

Article in Journal of immunology research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Frontiers in immunology · 2018
    Article
  9. Characterization ofJournal of immunology (Baltimore, Md. : 1950) · 2017
    Article
  10. Article
  11. Article
  12. Analysis of the Phenotype ofFrontiers in immunology · 2017
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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 2 institutions in 1 country.

Miriam LichtnerDepartment of Public Health and Infectious Diseases, Istituto Pasteur-Fondazione Cenci Bolognetti, Sapienza University, Piazzale Aldo Moro 5, 00185 Rome, Italy ; Infectious Diseases Unit, Sapienza University, Corso della Repubblica 79, 04100 Latina, Italy.
Claudia MasciaDepartment of Public Health and Infectious Diseases, Istituto Pasteur-Fondazione Cenci Bolognetti, Sapienza University, Piazzale Aldo Moro 5, 00185 Rome, Italy.
Ilaria SauzulloDepartment of Public Health and Infectious Diseases, Istituto Pasteur-Fondazione Cenci Bolognetti, Sapienza University, Piazzale Aldo Moro 5, 00185 Rome, Italy.
Fabio MengoniDepartment of Public Health and Infectious Diseases, Istituto Pasteur-Fondazione Cenci Bolognetti, Sapienza University, Piazzale Aldo Moro 5, 00185 Rome, Italy.
Serena VitaDepartment of Public Health and Infectious Diseases, Istituto Pasteur-Fondazione Cenci Bolognetti, Sapienza University, Piazzale Aldo Moro 5, 00185 Rome, Italy.
Raffaella MaroccoInfectious Diseases Unit, Sapienza University, Corso della Repubblica 79, 04100 Latina, Italy.
Valeria BelvisiInfectious Diseases Unit, Sapienza University, Corso della Repubblica 79, 04100 Latina, Italy.
Gianluca RussoDepartment of Public Health and Infectious Diseases, Istituto Pasteur-Fondazione Cenci Bolognetti, Sapienza University, Piazzale Aldo Moro 5, 00185 Rome, Italy.
Vincenzo VulloDepartment of Public Health and Infectious Diseases, Istituto Pasteur-Fondazione Cenci Bolognetti, Sapienza University, Piazzale Aldo Moro 5, 00185 Rome, Italy.
Claudio M MastroianniDepartment of Public Health and Infectious Diseases, Istituto Pasteur-Fondazione Cenci Bolognetti, Sapienza University, Piazzale Aldo Moro 5, 00185 Rome, Italy ; Infectious Diseases Unit, Sapienza University, Corso della Repubblica 79, 04100 Latina, Italy.
Istituto Pasteur · ITSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mono- and multifunctional specific CD4(+) and CD8(+) T-cell responses were evaluated to improve the immune-based detection of active tuberculosis (TB) and latent infection (LTBI). We applied flow cytometry to investigate cytokines profile (IFN-γ, TNF-α, and IL-2) of T cells after stimulation with TB antigens in 28 TB-infected subjects (18 active TB and 10 LTBI) and 10 uninfected controls. Cytokines production by CD4(+) T cells at single-cell levels was higher in TB-infected subjects than uninfected controls (P < 0.0001). Assigning to activated CD4(+) T cells, producing any of the three cytokines, a cut-off >0.45%, it was possible to differentiate TB-infected (>0.45%) by uninfected subjects (<0.45%). Among TB-infected subjects, the frequencies of multifunctional CD4(+) T cells, simultaneously producing all 3 cytokines, are lower in active TB than LTBI subjects (P = 0.003). Thus, assigning to triple-positive CD4(+) T cells a cut-off <0.182%, TB-infected individuals could be classified as active TB subjects (<0.182%) or LTBI subjects (>0.182%). The magnitude of CD8(+) T-cell responses showed no differences between active TB and LTBI. Multifunctional CD4(+) T-cell responses could have the potential to identify at single time point subjects without TB infection and patients having active or latent TB.

Indexed as

AdultAntigens, BacterialCase-Control StudiesCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCytokinesEpitopes, T-LymphocyteFemaleFlow CytometryHumansLatent TuberculosisMaleMiddle AgedMycobacterium tuberculosisROC CurveSingle-Cell AnalysisAntigens, BacterialCytokinesEpitopes, T-Lymphocyte

Identifiers

PMID26339657
PMCPMC4539126
OpenAlexW1758071973

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.