ArticleFuture medicinal chemistry2016
Activity of caffeic acid phenethyl ester in Caenorhabditis elegans.
Article in Future medicinal chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 19 citations in OpenAlex.
- Antimicrobial Properties of Hive Products and Their Potential Applications in Human and Veterinary Medicine.Antibiotics (Basel, Switzerland) · 2025Review
- Antifungal efficacy of caffeic acid and nano-caffeic acid particles against candidiasis: anJournal of oral microbiology · 2025Article
- Influence of Propolis Extract (Caffeic Acid Phenethyl Ester) Addition on theInternational journal of dentistry · 2022Article
- Potential Therapeutic Implications of Caffeic Acid in Cancer Signaling: Past, Present, and Future.Frontiers in pharmacology · 2022Review
- Antifungal Activity of the Phenolic Compounds Ellagic Acid (EA) and Caffeic Acid Phenethyl Ester (CAPE) against Drug-ResistantJournal of fungi (Basel, Switzerland) · 2021Article
- Recent progresses in the pharmacological activities of caffeic acid phenethyl ester.Naunyn-Schmiedeberg's archives of pharmacology · 2021Review
- The Anti-Biofilm Efficacy of Caffeic Acid Phenethyl Ester (CAPE)Frontiers in cellular and infection microbiology · 2021Article
- Voltamperometric Sensors and Biosensors Based on Carbon Nanomaterials Used for Detecting Caffeic Acid-A Review.International journal of molecular sciences · 2020Review
- Caenorhabditis elegans as a model animal for investigating fungal pathogenesis.Medical microbiology and immunology · 2020Review
- Physicochemical analyses, antioxidant, antibacterial, and toxicity of propolis particles produced by stingless beeHeliyon · 2019Article
- Antioxidant, Cytotoxic, and Toxic Activities of Propolis from Two Native Bees in Brazil:Oxidative medicine and cellular longevity · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 1 country.
Funding
Abstract
aimCaffeic acid (3,4-dihydroxycinnamic acid) phenethyl ester (CAPE), the major constituent of propolis, is able to increase the survival of the nematode Caenorhabditis elegans after infection with the fungal pathogen Candida albicans.
resultsCAPE increases the expression of several antimicrobial proteins involved in the immune response to C. albicans. Structural derivatives of CAPE were synthesized to identify structure-activity relationships and decrease metabolic liability, ultimately leading to a compound that has similar efficacy, but increased in vivo stability. The CED-10(Rac-1)/PAK1 pathway was essential for immunomodulation by CAPE and was a critical component involved in the immune response to fungal pathogens.
conclusionCaenorhabditis elegans is an efficient heterologous host to evaluate immunomodulatory compounds and identify components of the pathway(s) involved in the mode of action of compounds.
Indexed as
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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.