ReviewCurrent opinion in immunology2018
Caenorhabditis elegans in high-throughput screens for anti-infective compounds.
Review in Current opinion in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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.
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.
Who cites it
30 citing papers in PubMed.
- The therapeutic potential of orphan adhesion G-protein-coupled receptors.Nature reviews. Drug discovery · 2026Review
- Article
- Article
- Evolving threats: Leveraging C. elegans to decode the virulence profiles of highly related environmental Salmonella Newport isolates.PloS one · 2026Article
- Volatile and non-volatile pathogen cues shape host extracellular vesicles production in pre-infection response.Nature communications · 2025Article
- Biological Activities ofPharmaceuticals (Basel, Switzerland) · 2025Article
- Drug screens using the nematode Caenorhabditis elegans.Genetics · 2025Review
- Article
- Effects of Multiple Stressors, Pristine or Sulfidized Silver Nanomaterials, and a Pathogen on a Model Soil NematodeNanomaterials (Basel, Switzerland) · 2024Article
- Metal copper and silver revealed potent antimicrobial activity for treatingAmerican journal of translational research · 2024Article
- Alternatives to animal models to study bacterial infections.Folia microbiologica · 2023Review
- Review
- Multiple stressor effects on a model soil nematode, Caenorhabditis elegans: Combined effects of the pathogen Klebsiella pneumoniae and zinc oxide nanoparticles.The Science of the total environment · 2023Article
- Juxtaposing Caenorhabditis elegans-Pathogenic Mould Model with Other Models; How Reliable Is This Nematode Model? A Mini Review.Current microbiology · 2023Review
- High-throughput small molecule screen identifies inhibitors of microsporidia invasion and proliferation in C. elegans.Nature communications · 2022Article
- Article
- Beneficial effect of Xuebijing againstFrontiers in pharmacology · 2022Article
- Apolipoprotein E mimetic peptide COG1410 combats pandrug-resistantFrontiers in microbiology · 2022Article
- Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
New classes of antimicrobials that are effective therapies for infections with multi-drug resistant pathogens are urgently needed. The nematode Caenorhabditis elegans has been incorporated into small molecule screening platforms to identify anti-infective compounds that provide protection of a host during infection. The use of a live animal in these screening systems offers several advantages, including the ability to identify molecules that boost innate immune responses in a manner advantageous to host survival and compounds that disrupt bacterial virulence mechanisms. In addition, new classes of antimicrobials that target the pathogen have been uncovered, as well as interesting chemical probes that can be used to dissect new mechanisms of host-pathogen interactions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.