Evidence map›Paper›PMID 29557774›Full record

ArticleMicrobial genomics2018

Comparative 'omics analyses differentiate Mycobacterium tuberculosis and Mycobacterium bovis and reveal distinct macrophage responses to infection with the human and bovine tubercle bacilli.

Kerri M Malone, Kévin Rue-Albrecht, David A Magee, Kevin Conlon, Olga T Schubert, Nicolas C Nalpas, John A Browne, Alicia Smyth, Eamonn Gormley, Ruedi Aebersold and 2 more

Abstract read
In one paragraph

Article in Microbial genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Complete genome and transcriptome ofMicrobiology resource announcements · 2025
    Article
  4. Article
  5. Comparative transcriptomic signatures of virulent and attenuatedFrontiers in cellular and infection microbiology · 2025
    Article
  6. Article
  7. Article
  8. Animal models for COVID-19 and tuberculosis.Frontiers in immunology · 2023
    Review
  9. The rate and role of pseudogenes of theMicrobial genomics · 2022
    Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

12 authors.

Kerri M Malone1​UCD School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland.
Kévin Rue-Albrecht1​UCD School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland.
David A Magee2​Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland.
Kevin Conlon1​UCD School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland.
Olga T Schubert3​Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich CH-8093, Switzerland.
Nicolas C Nalpas2​Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland.
John A Browne2​Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland.
Alicia Smyth1​UCD School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland.
Eamonn Gormley4​Tuberculosis Diagnostics and Immunology Research Centre, UCD School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland.
Ruedi Aebersold3​Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich CH-8093, Switzerland.
David E MacHugh2​Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland.
Stephen V Gordon5​UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Ireland.

Funding

Wellcome TrustWellcome Trust 097429/Z/11/ZWellcome Trust 102395/Z/13/Z
6 · The paper itself

Abstract

Members of the Mycobacterium tuberculosis complex (MTBC) are the causative agents of tuberculosis in a range of mammals, including humans. A key feature of MTBC pathogens is their high degree of genetic identity yet distinct host tropism. Notably, while Mycobacterium bovis is highly virulent and pathogenic for cattle, the human pathogen M. tuberculosis is attenuated in cattle. Previous research also suggests that host preference amongst MTBC members has a basis in host innate immune responses. To explore MTBC host tropism, we present in-depth profiling of the MTBC reference strains M. bovis AF2122/97 and M. tuberculosis H37Rv at both the global transcriptional and the translational level via RNA-sequencing and SWATH MS. Furthermore, a bovine alveolar macrophage infection time course model was used to investigate the shared and divergent host transcriptomic response to infection with M. tuberculosis H37Rv or M. bovis AF2122/97. Significant differential expression of virulence-associated pathways between the two bacilli was revealed, including the ESX-1 secretion system. A divergent transcriptional response was observed between M. tuberculosis H37Rv and M. bovis AF2122/97 infection of bovine alveolar macrophages, in particular cytosolic DNA-sensing pathways at 48 h post-infection, and highlights a distinct engagement of M. bovis with the bovine innate immune system. The work presented here therefore provides a basis for the identification of host innate immune mechanisms subverted by virulent host-adapted mycobacteria to promote their survival during the early stages of infection.

Indexed as

Immunity, InnateMacrophages, AlveolarMycobacterium bovisMycobacterium tuberculosisTranscriptomeTuberculosis, BovineTuberculosis, PulmonaryAnimalsCattleHumansProteomicsmacrophageMycobacterium bovisproteomicstranscriptomicstuberculosis

Identifiers

PMID29557774
PMCPMC5885015

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.