Evidence map›Paper›PMID 29937224›Full record

ArticleCell2018

Immunomimetic Designer Cells Protect Mice from MRSA Infection.

Ying Liu, Peng Bai, Anne-Kathrin Woischnig, Ghislaine Charpin-El Hamri, Haifeng Ye, Marc Folcher, Mingqi Xie, Nina Khanna, Martin Fussenegger

Open access · greenAbstract read
In one paragraph

Article in Cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
5.6field-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

40 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Synthetic Gene Circuits for Regulation of Next-Generation Cell-Based Therapeutics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  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

9 authors at 4 institutions in 3 countries.

Ying LiuDepartment of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland.
Peng BaiDepartment of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland.
Anne-Kathrin WoischnigLaboratory of Infection Biology, Department of Biomedicine, University and University Hospital Basel, Hebelstrasse 20, 4031 Basel, Switzerland.
Ghislaine Charpin-El HamriIUT Lyon 1, Département Génie Biologique, 74 Boulevard Niels Bohr, 69622 Villeurbanne Cedex, France.
Haifeng YeShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Dongchuan Road 500, 200241 Shanghai, People's Republic of China.
Marc FolcherDepartment of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland.
Mingqi XieDepartment of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland.
Nina KhannaLaboratory of Infection Biology, Department of Biomedicine, University and University Hospital Basel, Hebelstrasse 20, 4031 Basel, Switzerland; Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Basel, Petersgraben 4, 4031 Basel, Switzerland. Electronic address: nina.khanna@usb.ch.
Martin FusseneggerDepartment of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland; Faculty of Science, University of Basel, 4031 Basel, Switzerland. Electronic address: fussenegger@bsse.ethz.ch.
ETH Zurich · CHUniversity Hospital of Basel · CHEast China Normal University · CNUniversité Claude Bernard Lyon 1 · FR

Funding

European Research Council 321381
6 · The paper itself

Abstract

Many community- and hospital-acquired bacterial infections are caused by antibiotic-resistant pathogens. Methicillin-resistant Staphylococcus aureus (MRSA) predisposes humans to invasive infections that are difficult to eradicate. We designed a closed-loop gene network programming mammalian cells to autonomously detect and eliminate bacterial infections. The genetic circuit contains human Toll-like receptors as the bacterial sensor and a synthetic promoter driving reversible and adjustable expression of lysostaphin, a bacteriolytic enzyme highly lethal to S. aureus. Immunomimetic designer cells harboring this genetic circuit exhibited fast and robust sense-and-destroy kinetics against live staphylococci. When tested in a foreign-body infection model in mice, microencapsulated cell implants prevented planktonic MRSA infection and reduced MRSA biofilm formation by 91%. Notably, this system achieved a 100% cure rate of acute MRSA infections, whereas conventional vancomycin treatment failed. These results suggest that immunomimetic designer cells could offer a therapeutic approach for early detection, prevention, and cure of pathogenic infections in the post-antibiotic era.

Indexed as

Alkaline PhosphataseAnimalsAnti-Bacterial AgentsBiofilmsBiomimeticsDisk Diffusion Antimicrobial TestsFemaleHEK293 CellsHumansLipopolysaccharide ReceptorsLysostaphinMethicillin-Resistant Staphylococcus aureusMiceMice, Inbred C57BLPlasmidsStaphylococcal InfectionsAlkaline PhosphataseAnti-Bacterial AgentsLipopolysaccharide ReceptorsLysostaphinTLR1 protein, humanTLR2 protein, humanTLR6 protein, humanToll-Like Receptor 1Toll-Like Receptor 2Toll-Like Receptor 6Transcription Factor AP-1antibiotic resistancebiofilmcell therapyencapsulationimplant-associated infectionlysostaphinmethicillin-resistant Staphylococcus aureusmurine tissue cage infection modelsynthetic gene circuitToll-like receptor

Identifiers

PMID29937224
PMCPMC6057273
OpenAlexW2809459204

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.