Evidence map›Paper›PMID 27027307›Full record

ArticlePLoS neglected tropical diseases2016

Comparative Proteomics Identifies Host Immune System Proteins Affected by Infection with Mycobacterium bovis.

Vladimir López, Margarita Villar, João Queirós, Joaquín Vicente, Lourdes Mateos-Hernández, Iratxe Díez-Delgado, Marinela Contreras, Paulo C Alves, Pilar Alberdi, Christian Gortázar and 1 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Complement system activation in wild boar (Frontiers in veterinary science · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Comparative Proteomics Analysis of Human Macrophages Infected with VirulentFrontiers in cellular and infection microbiology · 2017
    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

11 authors.

Vladimir LópezSaBio. Instituto de Investigación en Recursos Cinegéticos IREC CSIC-UCLM-JCCM, Ciudad Real, Spain.
Margarita VillarSaBio. Instituto de Investigación en Recursos Cinegéticos IREC CSIC-UCLM-JCCM, Ciudad Real, Spain.
João QueirósSaBio. Instituto de Investigación en Recursos Cinegéticos IREC CSIC-UCLM-JCCM, Ciudad Real, Spain.
Joaquín VicenteSaBio. Instituto de Investigación en Recursos Cinegéticos IREC CSIC-UCLM-JCCM, Ciudad Real, Spain.
Lourdes Mateos-HernándezSaBio. Instituto de Investigación en Recursos Cinegéticos IREC CSIC-UCLM-JCCM, Ciudad Real, Spain.
Iratxe Díez-DelgadoSaBio. Instituto de Investigación en Recursos Cinegéticos IREC CSIC-UCLM-JCCM, Ciudad Real, Spain.
Marinela ContrerasSaBio. Instituto de Investigación en Recursos Cinegéticos IREC CSIC-UCLM-JCCM, Ciudad Real, Spain.
Paulo C AlvesCIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, Vairão, Portugal.
Pilar AlberdiSaBio. Instituto de Investigación en Recursos Cinegéticos IREC CSIC-UCLM-JCCM, Ciudad Real, Spain.
Christian GortázarSaBio. Instituto de Investigación en Recursos Cinegéticos IREC CSIC-UCLM-JCCM, Ciudad Real, Spain.
José de la FuenteSaBio. Instituto de Investigación en Recursos Cinegéticos IREC CSIC-UCLM-JCCM, Ciudad Real, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mycobacteria of the Mycobacterium tuberculosis complex (MTBC) greatly impact human and animal health worldwide. The mycobacterial life cycle is complex, and the mechanisms resulting in pathogen infection and survival in host cells are not fully understood. Eurasian wild boar (Sus scrofa) are natural reservoir hosts for MTBC and a model for mycobacterial infection and tuberculosis (TB). In the wild boar TB model, mycobacterial infection affects the expression of innate and adaptive immune response genes in mandibular lymph nodes and oropharyngeal tonsils, and biomarkers have been proposed as correlates with resistance to natural infection. However, the mechanisms used by mycobacteria to manipulate host immune response are not fully characterized. Our hypothesis is that the immune system proteins under-represented in infected animals, when compared to uninfected controls, are used by mycobacteria to guarantee pathogen infection and transmission. To address this hypothesis, a comparative proteomics approach was used to compare host response between uninfected (TB-) and M. bovis-infected young (TB+) and adult animals with different infection status [TB lesions localized in the head (TB+) or affecting multiple organs (TB++)]. The results identified host immune system proteins that play an important role in host response to mycobacteria. Calcium binding protein A9, Heme peroxidase, Lactotransferrin, Cathelicidin and Peptidoglycan-recognition protein were under-represented in TB+ animals when compared to uninfected TB- controls, but protein levels were higher as infection progressed in TB++ animals when compared to TB- and/or TB+ adult wild boar. MHCI was the only protein over-represented in TB+ adult wild boar when compared to uninfected TB- controls. The results reported here suggest that M. bovis manipulates host immune response by reducing the production of immune system proteins. However, as infection progresses, wild boar immune response recovers to limit pathogen multiplication and promote survival, facilitating pathogen transmission.

Indexed as

Mycobacterium bovisProteomicsAnimalsGene Expression RegulationHemoglobinsHumansLymph NodesSus scrofaSwineSwine DiseasesTuberculosisHemoglobins

Identifiers

PMID27027307
PMCPMC4814110

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.