Evidence map›Paper›PMID 27665717›Full record

ReviewNature reviews. Microbiology2016

ESX secretion systems: mycobacterial evolution to counter host immunity.

Matthias I Gröschel, Fadel Sayes, Roxane Simeone, Laleh Majlessi, Roland Brosch

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 240 papers.

0numbers the graph read from it
0cells of the map it votes in
240citing 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

240 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. HowVaccines · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. International journal of molecular sciences · 2026
    Article
  13. ThemBio · 2026
    Article
  14. Gene conversion is a key driver of diversity hotspots inbioRxiv : the preprint server for biology · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Recent Characterization of Key Proteins to Combat Tuberculosis.Advances in experimental medicine and biology · 2026
    Review
  20. Article

180 more citing papers are in PubMed but not listed here.

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.

Matthias I GröschelInstitut Pasteur, Unit for Integrated Mycobacterial Pathogenomics, Paris 75724, Cedex 15, France.
Fadel SayesInstitut Pasteur, Unit for Integrated Mycobacterial Pathogenomics, Paris 75724, Cedex 15, France.
Roxane SimeoneInstitut Pasteur, Unit for Integrated Mycobacterial Pathogenomics, Paris 75724, Cedex 15, France.
Laleh MajlessiInstitut Pasteur, Unit for Integrated Mycobacterial Pathogenomics, Paris 75724, Cedex 15, France.
Roland BroschInstitut Pasteur, Unit for Integrated Mycobacterial Pathogenomics, Paris 75724, Cedex 15, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mycobacterium tuberculosis uses sophisticated secretion systems, named 6 kDa early secretory antigenic target (ESAT6) protein family secretion (ESX) systems (also known as type VII secretion systems), to export a set of effector proteins that helps the pathogen to resist or evade the host immune response. Since the discovery of the esx loci during the M. tuberculosis H37Rv genome project, structural biology, cell biology and evolutionary analyses have advanced our knowledge of the function of these systems. In this Review, we highlight the intriguing roles that these studies have revealed for ESX systems in bacterial survival and pathogenicity during infection with M. tuberculosis. Furthermore, we discuss the diversity of ESX systems that has been described among mycobacteria and selected non-mycobacterial species. Finally, we consider how our knowledge of ESX systems might be applied to the development of novel strategies for the treatment and prevention of disease.

Indexed as

Evolution, MolecularHost-Pathogen InteractionsAnimalsAntigens, BacterialBacterial ProteinsBiological TransportHumansMycobacterium tuberculosisProtein TransportTuberculosisType VII Secretion SystemsAntigens, BacterialBacterial ProteinsType VII Secretion Systems

Identifiers

What OpenQuestion holds

Textmetadata
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.