Evidence map›Paper›PMID 29310595›Full record

ArticleBMC infectious diseases2018

Potential of DosR and Rpf antigens from Mycobacterium tuberculosis to discriminate between latent and active tuberculosis in a tuberculosis endemic population of Medellin Colombia.

Leonar Arroyo, Diana Marín, Kees L M C Franken, Tom H M Ottenhoff, Luis F Barrera

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Two-HitFrontiers in immunology · 2019
    Trial
  5. Article
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  7. Review
  8. Article
  9. Excavation of resources ofFrontiers in microbiology · 2025
    Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Preventive effects ofFrontiers in immunology · 2023
    Article
  15. Review
  16. Use of DosR and Rpf antigens from Mycobacterium tuberculosis to screen for latent and relapse tuberculosis infection in a tuberculosis endemic community of Huainan City.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
    Article
  17. Article
  18. Frontiers in microbiology · 2022
    Article
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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

5 authors at 2 institutions in 2 countries.

Leonar ArroyoGrupo de Inmunología Celular e Inmunogenética (GICIG), Albinusdreef 2, 2333, Leiden, ZA, Netherlands.
Diana MarínUniversidad Pontificia Bolivariana (UPB), Albinusdreef 2, 2333, Leiden, ZA, Netherlands.
Kees L M C FrankenDepartment of Infectious Diseases, Leiden University Medical Centre, Albinusdreef 2, 2333, Leiden, ZA, Netherlands.
Tom H M OttenhoffDepartment of Infectious Diseases, Leiden University Medical Centre, Albinusdreef 2, 2333, Leiden, ZA, Netherlands.
Luis F BarreraGrupo de Inmunología Celular e Inmunogenética (GICIG), Albinusdreef 2, 2333, Leiden, ZA, Netherlands. luis.barrera@udea.edu.co.
Leiden University · NLUniversidad de Antioquia · CO

Funding

Colciencias 1115-459-21461Comité para el Desarrollo de la Investigacion (CODI) 01554EC FP7 NEWTBVAC HEALTH.F3.2009 241745EC FP7 VACTRAIN FP7-INFRA-2012-312661EC HORIZON2020 TBVAC2020 643381Programa Sostenibilidad Universidad de Antioquia 2014-2015 01554
6 · The paper itself

Abstract

backgroundTuberculosis (TB) remains one of the most deadly infectious diseases. One-third to one-fourth of the human population is estimated to be infected with Mycobacterium tuberculosis (Mtb) without showing clinical symptoms, a condition called latent TB infection (LTBI). Diagnosis of Mtb infection is based on the immune response to a mixture of mycobacterial antigens (PPD) or to Mtb specific ESAT-6/CFP10 antigens (IGRA), highly expressed during the initial phase of infection. However, the immune response to PPD and IGRA antigens has a low power to discriminate between LTBI and PTB. The T-cell response to a group of so-called latency (DosR-regulon-encoded) and Resuscitation Promoting (Rpf) antigens of Mtb has been proved to be significantly higher in LTBI compared to active TB across many populations, suggesting their potential use as biomarkers to differentiate latent from active TB.

methodsPBMCs from a group LTBI (n = 20) and pulmonary TB patients (PTB, n = 21) from an endemic community for TB of the city of Medellín, Colombia, were in vitro stimulated for 7 days with DosR- (Rv1737c, Rv2029c, and Rv2628), Rpf- (Rv0867c and Rv2389c), the recombinant fusion protein ESAT-6-CFP10 (E6-C10)-, or PPD-antigen. The induced IFNγ levels detectable in the supernatants of the antigen-stimulated cells were then used to calculate specificity and sensitivity in discriminating LTBI from PTB, using different statistical approaches.

resultsIFNγ production in response to DosR and Rpf antigens was significantly higher in LTBI compared to PTB. ROC curve analyses of IFNγ production allowed differentiation of LTBI from PTB with areas under the curve higher than 0.70. Furthermore, Multiple Correspondence Analysis (MCA) revealed that LTBI is associated with higher levels of IFNγ in response to the different antigens compared to PTB. Analysis based on decision trees showed that the IFNγ levels produced in response to Rv2029c was the leading variable that best-classified disease status. Finally, logistic regression analysis predicted that IFNγ produced by PBMCs in response to E6-C10, Rv2029c, Rv0867c (RpfA) and Rv2389c (RpfA) antigens correlates best with the probability of being latently infected.

conclusionsThe Mtb antigens E6-C10, Rv2029c (PfkB), Rv0867c (RpfA) and Rv2389c (RpfA), may be potential candidates to discriminate LTBI from PTB.

Indexed as

AdultArea Under CurveBacterial ProteinsBiomarkersColombiaCytokinesDNA-Binding ProteinsFemaleHumansInterferon-gammaLatent TuberculosisLeukocytes, MononuclearLogistic ModelsMaleMiddle AgedMycobacterium tuberculosisBacterial ProteinsBiomarkersCytokinesDNA-Binding ProteinsDosR protein, Mycobacterium tuberculosisInterferon-gammaProtein Kinasesresuscitation-promoting factor, bacteriaDosRIFNγ biomarkersLatencyRpfTuberculosis

Identifiers

PMID29310595
PMCPMC5759254
OpenAlexW2782664675

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.