Evidence map›Paper›PMID 29163544›Full record

ReviewFrontiers in immunology2017

Macrophage Autophagy and Bacterial Infections.

Aïcha Bah, Isabelle Vergne

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 1 pooled it
8.5field-weighted citation impact, top 2% 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

85 citing papers in PubMed, 1 synthesis or guideline pooled it, 161 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Journal of medical microbiology · 2026
    Article
  5. The authors respond to feedback onFrontiers in oncology · 2026
    Article
  6. Modulation of macrophage survival duringFrontiers in cellular and infection microbiology · 2026
    Review
  7. Review
  8. Article
  9. Article
  10. Iranian journal of microbiology · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article

25 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

2 authors at 1 institution in 1 country.

Aïcha BahInstitut de Pharmacologie et de Biologie Structurale, UMR 5089 CNRS-Université de Toulouse, Toulouse, France.
Isabelle VergneInstitut de Pharmacologie et de Biologie Structurale, UMR 5089 CNRS-Université de Toulouse, Toulouse, France.
Institut de Pharmacologie et de Biologie Structurale · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autophagy is a well-conserved lysosomal degradation pathway that plays key roles in bacterial infections. One of the most studied is probably xenophagy, the selective capture and degradation of intracellular bacteria by lysosomes. However, the impact of autophagy goes beyond xenophagy and involves intensive cross-talks with other host defense mechanisms. In addition, autophagy machinery can have non-canonical functions such as LC3-associated phagocytosis. In this review, we intend to summarize the current knowledge on the many functions of autophagy proteins in cell defenses with a focus on bacteria-macrophage interaction. We also present the strategies developed by pathogens to evade or to exploit this machinery in order to establish a successful infection. Finally, we discuss the opportunities and challenges of autophagy manipulation in improving therapeutics and vaccines against bacterial pathogens.

Indexed as

autophagybacteriainflammationmacrophagepathogenphagocytosisxenophagy

Identifiers

PMID29163544
PMCPMC5681717
OpenAlexW2767251106

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.