Evidence map›Paper›PMID 25897840›Full record

ArticlePloS one2015

Pro- and anti-inflammatory cytokines against Rv2031 are elevated during latent tuberculosis: a study in cohorts of tuberculosis patients, household contacts and community controls in an endemic setting.

Mulugeta Belay, Mengistu Legesse, Adane Mihret, Yonas Bekele, Tom H M Ottenhoff, Kees L M C Franken, Gunnar Bjune, Fekadu Abebe

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 4 pooled it
2.9field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 4 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  12. An Immunoinformatic Strategy to Develop NewInternational journal of peptide research and therapeutics · 2022
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  16. Machine Learning Algorithms Evaluate Immune Response to NovelFrontiers in cellular and infection microbiology · 2020
    Article
  17. Cell-Mediated Immune Responses toFrontiers in immunology · 2020
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  18. Review
  19. Observational
  20. 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

8 authors at 4 institutions in 3 countries.

Mulugeta BelayAklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia; Department of Community Medicine, Institute of Health and Society, University of Oslo, Oslo, Norway.
Mengistu LegesseAklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
Adane MihretArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Yonas BekeleArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Tom H M OttenhoffDepartment of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Kees L M C FrankenDepartment of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Gunnar BjuneDepartment of Community Medicine, Institute of Health and Society, University of Oslo, Oslo, Norway.
Fekadu AbebeDepartment of Community Medicine, Institute of Health and Society, University of Oslo, Oslo, Norway.
Addis Ababa University · ETArmauer Hansen Research Institute · ETLeiden University Medical Center · NLUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) is among the leading causes of morbidity and mortality. The causative agent, Mycobacterium tuberculosis (Mtb), has evolved virulent factors for entry, survival, multiplication and immune evasion. Rv2031 (also called alpha crystallin, hspX, 16-kDa antigen), one of the most immunogenic latency antigens, is believed to play a key role in long-term viability of Mtb. Here, we report the dynamics of pro-inflammatory (IFN-γ, TNF-α) and anti-inflammatory (IL-10) cytokines against Rv2031 using whole blood assay in human cohorts in a TB endemic setting. Cytokine responses to ESAT-6-CFP-10 were also measured for comparison. Blood samples were collected from smear positive pulmonary TB patients and their contacts at baseline, 6 and 12 months, and from community controls at entry. At baseline, 54.4% of controls and 73.2% of contacts were QFT-GIT test positive. Baseline IFN-γ, TNF-α and IL-10 responses to Rv2031 were significantly higher in controls compared to contacts and untreated patients (p<0.001). Furthermore, untreated patients had significantly higher TNF-α and IL-10 responses to Rv2031 compared to contacts (p<0.001). In contacts and treated patients, IFN-γ, TNF-α and IL-10 responses to Rv2031 significantly increased over 12 months (p<0.0001) and became comparable with the corresponding levels in controls. There was a positive and significant correlation between Rv2031 and ESAT-6-CFP-10 specific cytokine responses in each study group. The fact that the levels of IFN-γ, TNF-α and IL-10 against Rv2031 were highest during latent TB infection may indicate their potential as markers of protection against TB. Taken together, the findings of this study suggest the potential of IFN-γ, TNF-α and IL-10 against Rv2031 as biomarkers of the host response to Mtb during convalescence from, and the absence of, active tuberculosis.

Indexed as

AdultAntigens, BacterialBacterial ProteinsCase-Control StudiesContact TracingEndemic DiseasesFemaleHumansInterferon-gammaInterleukin-10Latent TuberculosisMaleMycobacterium tuberculosisTuberculosis, PulmonaryTumor Necrosis Factor-alphaAntigens, BacterialBacterial ProteinsHspX protein, Mycobacterium tuberculosisIL10 protein, humanInterferon-gammaInterleukin-10TNF protein, humanTumor Necrosis Factor-alpha

Identifiers

PMID25897840
PMCPMC4405476
OpenAlexW2057046064

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.