Evidence map›Paper›PMID 20596522›Full record

ArticlePloS one2010

Mycobacterium bovis-BCG vaccination induces specific pulmonary transcriptome biosignatures in mice.

Elihu Aranday Cortes, Daryan Kaveh, Javier Nunez-Garcia, Philip J Hogarth, H Martin Vordermeier

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

25 citing papers in PubMed, 43 citations in OpenAlex.

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  11. Obese communities among the best predictors of COVID-19-related deaths.Cardiovascular endocrinology & metabolism · 2020
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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 1 institution in 1 country.

Elihu Aranday CortesTB Research Group, Veterinary Laboratories Agency, Addlestone, United Kingdom.
Daryan Kaveh
Javier Nunez-Garcia
Philip J Hogarth
H Martin Vordermeier
Veterinary Medicines Directorate · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the present study, we applied microarray technology to define biosignatures by microarray transcriptome analysis in lung and spleen samples after BCG vaccination and M. bovis infection of BALB/c mice. The aims were two-fold, namely to define biosignatures that could predict vaccine success before challenge, and biomarker patterns that correlated with anamnestic protective responses following exposure to virulent M. bovis. Further, these biosignatures should be detectable without in vitro antigenic challenge. PRINCIPAL

findingsAfter BCG vaccination, we defined a specific pulmonary gene expression signature related to the connective tissue development and function network that predicted vaccine success before M. bovis challenge. In addition, a Th17-related cytokine profile was found that correlated with vaccine-induced protective immunity following infection with virulent M. bovis in the lung as well as additional genes that were up-regulated in the spleens of vaccinated animals post-infection related to neutrophil biology and inflammation.

conclusionsThis study has therefore prioritized both biomarkers predicting vaccination success before challenge and bio-signatures that are potentially associated with protective immune responses that will be useful to evaluate future vaccine candidates.

Indexed as

Gene Expression ProfilingAnimalsBCG VaccineFemaleLungMiceMice, Inbred BALB CMycobacterium bovisMycobacterium InfectionsNucleic Acid HybridizationOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionBCG Vaccine

Identifiers

PMID20596522
PMCPMC2893133
OpenAlexW2070897316

What OpenQuestion holds

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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.