Evidence map›Paper›PMID 29709002›Full record

ArticlePloS one2018

B cells response directed against Cut4 and CFP21 lipolytic enzymes in active and latent tuberculosis infections.

Wendy Rénier, Arnaud Bourdin, Pierre-Alain Rubbo, Marianne Peries, Luc Dedieu, Sophie Bendriss, Laurent Kremer, Stéphane Canaan, Dominique Terru, Sylvain Godreuil and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Host- and Age-Dependent Transcriptional Changes inInternational journal of molecular sciences · 2022
    Article
  2. Review
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

13 authors at 2 institutions in 1 country.

Wendy RénierPathogenesis and Control of Chronic Infections, INSERM, EFS, Université de Montpellier, CHU Montpellier, Montpellier, France.
Arnaud BourdinPhyMedExp, INSERM, EFS, Université de Montpellier, CHU Montpellier, Montpellier, France.
Pierre-Alain RubboPathogenesis and Control of Chronic Infections, INSERM, EFS, Université de Montpellier, CHU Montpellier, Montpellier, France.
Marianne PeriesPathogenesis and Control of Chronic Infections, INSERM, EFS, Université de Montpellier, CHU Montpellier, Montpellier, France.
Luc DedieuLaboratory of Enzymology at Interfaces and Physiology of Lipolysis, CNRS, Université Aix-Marseille, France.
Sophie BendrissPathogenesis and Control of Chronic Infections, INSERM, EFS, Université de Montpellier, CHU Montpellier, Montpellier, France.
Laurent KremerInstitute of Research on Infection of Montpellier, CNRS, INSERM, Université de Montpellier, Montpellier, France.
Stéphane CanaanLaboratory of Enzymology at Interfaces and Physiology of Lipolysis, CNRS, Université Aix-Marseille, France.
Dominique TerruPathogenesis and Control of Chronic Infections, INSERM, EFS, Université de Montpellier, CHU Montpellier, Montpellier, France.
Sylvain GodreuilPathogenesis and Control of Chronic Infections, INSERM, EFS, Université de Montpellier, CHU Montpellier, Montpellier, France.
Nicolas NagotPathogenesis and Control of Chronic Infections, INSERM, EFS, Université de Montpellier, CHU Montpellier, Montpellier, France.
Philippe Van de PerrePathogenesis and Control of Chronic Infections, INSERM, EFS, Université de Montpellier, CHU Montpellier, Montpellier, France.
Edouard TuaillonPathogenesis and Control of Chronic Infections, INSERM, EFS, Université de Montpellier, CHU Montpellier, Montpellier, France.ORCID 0000-0001-5866-9530
Inserm · FRCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBetter understanding of the immune response directed against Mycobacterium tuberculosis (Mtb) is critical for development of vaccine strategies and diagnosis tests. Previous studies suggested that Mtb enzymes involved in lipid metabolism, are associated with persistence and/or reactivation of dormant bacilli.

methodsCirculating antibodies secreting cells (ASCs), memory B cells, and antibodies directed against Cut4 (Rv3452) and CFP21 (Rv1984c) antigens were explored in subjects with either active- or latent-tuberculosis (LTB), and in Mtb-uninfected individuals.

resultsCirculating anti-Cut4 ASCs were detected in 11/14 (78.6%) subjects from the active TB group vs. 4/17 (23.5%) from the LTB group (p = 0.001). Anti-CFP21 ASCs were found in 11/14 (78.6%) active TB vs. in 5/17 (29.4%) LTB cases (p = 0.01). Circulating anti-Cut4 and anti-CFP21 ASCs were not detected in 38 Mtb uninfected controls. Memory B cells directed against either Cut4 or CFP21 were identified in 8/11 (72.7%) and in 9/11 (81.8%) subjects with LTB infection, respectively, and in 2/6 Mtb uninfected individuals (33.3%). High level of anti-Cut4 and anti-CFP21 IgG were observed in active TB cases.

conclusionCirculating IgG SCs directed against Cut4 or CFP21 were mostly detected in patients presenting an active form of the disease, suggesting that TB reactivation triggers an immune response against these two antigens.

Indexed as

AdultAgedAntibodies, BacterialAntigens, BacterialBacterial ProteinsBCG VaccineB-LymphocytesCarboxylic Ester HydrolasesEnzyme-Linked Immunosorbent AssayFemaleHumansImmunoglobulin GImmunologic MemoryLatent TuberculosisLeukocytes, MononuclearLipid MetabolismAntibodies, BacterialAntigens, BacterialBacterial ProteinsBCG VaccineCarboxylic Ester HydrolasesCFP21 protein, Mycobacterium tuberculosisCut4 protein, Mycobacterium tuberculosisImmunoglobulin G

Identifiers

PMID29709002
PMCPMC5927435
OpenAlexW2802549390

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.