Evidence map›Paper›PMID 30909843›Full record

SynthesisAutophagy2019

Targeted interplay between bacterial pathogens and host autophagy.

Padhmanand Sudhakar, Anne-Claire Jacomin, Isabelle Hautefort, Siva Samavedam, Koorosh Fatemian, Eszter Ari, Leila Gul, Amanda Demeter, Emily Jones, Tamas Korcsmaros and 1 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Autophagy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 52 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Frontiers in cellular and infection microbiology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. A dynamically evolving war between autophagy and pathogenic microorganisms.Journal of Zhejiang University. Science. B · 2022
    Article
  11. Recruitment of LC3 byFrontiers in cellular and infection microbiology · 2022
    Article
  12. CCPG1 involved in cornealInternational journal of ophthalmology · 2022
    Article
  13. Article
  14. Frontiers in microbiology · 2022
    Article
  15. Computational prediction and experimental validation ofFrontiers in cellular and infection microbiology · 2022
    Article
  16. Review
  17. Review
  18. Article
  19. Review
  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

11 authors at 3 institutions in 3 countries.

Padhmanand Sudhakara Earlham Institute, Norwich Research Park , Norwich , UK.
Anne-Claire Jacomind School of Life Sciences, University of Warwick , Coventry , UK.
Isabelle Hauteforta Earlham Institute, Norwich Research Park , Norwich , UK.
Siva Samavedamd School of Life Sciences, University of Warwick , Coventry , UK.
Koorosh Fatemiand School of Life Sciences, University of Warwick , Coventry , UK.
Eszter Arif Department of Genetics, Eotvos Lorand University , Budapest , Hungary.
Leila Gula Earlham Institute, Norwich Research Park , Norwich , UK.
Amanda Demetera Earlham Institute, Norwich Research Park , Norwich , UK.
Emily Jonesa Earlham Institute, Norwich Research Park , Norwich , UK.
Tamas Korcsmarosa Earlham Institute, Norwich Research Park , Norwich , UK.ORCID 0000-0003-1717-996X
Ioannis P Nezisd School of Life Sciences, University of Warwick , Coventry , UK.
Norwich Research Park · GBUniversity of Warwick · GBEötvös Loránd University · HU

Funding

Biotechnology and Biological Sciences Research Council BB/J004529/1Biotechnology and Biological Sciences Research Council BB/L006324/1Biotechnology and Biological Sciences Research Council BB/P007856/1Biotechnology and Biological Sciences Research Council BB/P016774/1Biotechnology and Biological Sciences Research Council BBS/E/F/000PR10355
6 · The paper itself

Abstract

Due to the critical role played by autophagy in pathogen clearance, pathogens have developed diverse strategies to subvert it. Despite previous key findings of bacteria-autophagy interplay, asystems-level insight into selective targeting by the host and autophagy modulation by the pathogens is lacking. We predicted potential interactions between human autophagy proteins and effector proteins from 56 pathogenic bacterial species by identifying bacterial proteins predicted to have recognition motifs for selective autophagy receptors SQSTM1/p62, CALCOCO2/NDP52 and MAP1LC3/LC3. Using structure-based interaction prediction, we identified bacterial proteins capable to modify core autophagy components. Our analysis revealed that autophagy receptors in general potentially target mostly genus-specific proteins, and not those present in multiple genera. The complementarity between the predicted SQSTM1/p62 and CALCOCO2/NDP52 targets, which has been shown for

Indexed as

Amino Acid MotifsAutophagyBacillusBacterial ProteinsCluster AnalysisComputational BiologyEvolution, MolecularHost-Pathogen InteractionsHumansListeriaMembrane ProteinsMicrotubule-Associated ProteinsNuclear ProteinsProtein BindingProtein Interaction MapsSalmonellaBacterial ProteinsCALCOCO2 protein, humanMAP1LC3A protein, humanMembrane ProteinsMicrotubule-Associated ProteinsNuclear ProteinsSequestosome-1 ProteinSQSTM1 protein, humanVirulence FactorsAutophagybacterial regulation of hostCALCOCO2/NDP52interplayMAP1LC3/LC3MAP1LC3/LC3-interacting region motifmicrobiotapathogen recognitionSQSTM1/p62

Identifiers

PMID30909843
PMCPMC6693458
OpenAlexW2895301595

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.