Evidence map›Paper›PMID 22359547›Full record

ArticlePloS one2012

Transcriptional profiling of disease-induced host responses in bovine tuberculosis and the identification of potential diagnostic biomarkers.

Elihu Aranday-Cortes, Philip J Hogarth, Daryan A Kaveh, Adam O Whelan, Bernardo Villarreal-Ramos, Ajit Lalvani, H Martin Vordermeier

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.0field-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, 62 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The Bovine Tuberculoid Granuloma.Pathogens (Basel, Switzerland) · 2022
    Review
  7. Article
  8. Th22 Cells Are a Major Contributor to the Mycobacterial CD4Journal of immunology (Baltimore, Md. : 1950) · 2021
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Interleukin-17A as a Biomarker for Bovine Tuberculosis.Clinical and vaccine immunology : CVI · 2016
    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

7 authors at 2 institutions in 1 country.

Elihu Aranday-CortesTB Research Group, Animal Health & Veterinary Laboratories Agency Weybridge, New Haw, Addlestone, Surrey, United Kingdom.
Philip J Hogarth
Daryan A Kaveh
Adam O Whelan
Bernardo Villarreal-Ramos
Ajit Lalvani
H Martin Vordermeier
Animal and Plant Health Agency · GBImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine tuberculosis (bTb) remains a major and economically important disease of livestock. Improved ante-mortem diagnostic tools would help to underpin novel control strategies. The definition of biomarkers correlating with disease progression could have impact on the rational design of novel diagnostic approaches for bTb. We have used a murine bTb model to identify promising candidates in the host transcriptome post-infection. RNA from in vitro-stimulated splenocytes and lung cells from BALB/c mice infected aerogenically with Mycobacterium bovis were probed with high-density microarrays to identify possible biomarkers of disease. In antigen-stimulated splenocytes we found statistically significant differential regulation of 1109 genes early (3 days) after infection and 1134 at a later time-point post-infection (14 days). 618 of these genes were modulated at both time points. In lung cells, 282 genes were significantly modulated post-infection. Amongst the most strongly up-regulated genes were: granzyme A, granzyme B, cxcl9, interleukin-22, and ccr6. The expression of 14 out of the most up-regulated genes identified in the murine studies was evaluated using in vitro with antigen-stimulated PBMC from uninfected and naturally infected cattle. We show that the expression of cxcl9, cxcl10, granzyme A and interleukin-22 was significantly increased in PBMC from infected cattle compared to naïve animals following PPD stimulation in vitro. Thus, murine transcriptome analysis can be used to predict immunological responses in cattle allowing the prioritisation of CXCLl9, CXCL10, Granzyme A and IL-22 as potential additional readout systems for the ante-mortem diagnosis of bovine tuberculosis.

Indexed as

Gene Expression ProfilingAnimalsBiomarkersCattleChemokine CXCL10Chemokine CXCL9GranzymesHost-Pathogen InteractionsInterleukin-22InterleukinsLungMiceSpleenTuberculosis, BovineUp-RegulationBiomarkersChemokine CXCL10Chemokine CXCL9Cxcl10 protein, mouseCxcl9 protein, mouseGranzymesInterleukin-22Interleukins

Identifiers

PMID22359547
PMCPMC3281027
OpenAlexW2093436540

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.