Evidence map›Paper›PMID 40723790›Full record

ArticleBiomolecules2025

Caffeic Acid Phenethyl Ester Alleviates Alcohol-Induced Inflammation Associated with Pancreatic Secretion and Gut Microbiota in Zebrafish.

Menghui Lin, Xiaogang Guo, Xinyu Xu, Chao Chang, Thanh Ninh Le, Haiying Cai, Minjie Zhao

Abstract read
In one paragraph

Article in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Impact ofFoods (Basel, Switzerland) · 2025
    Article
  3. Review
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

7 authors.

Menghui LinSchool of Biological and Chemical Engineering, Zhejiang University of Science & Technology, Hangzhou 310023, China.ORCID 0009-0003-6972-3899
Xiaogang GuoSchool of Biological and Chemical Engineering, Zhejiang University of Science & Technology, Hangzhou 310023, China.ORCID 0009-0007-3815-5541
Xinyu XuSchool of Biological and Chemical Engineering, Zhejiang University of Science & Technology, Hangzhou 310023, China.
Chao ChangSchool of Biological and Chemical Engineering, Zhejiang University of Science & Technology, Hangzhou 310023, China.
Thanh Ninh LeCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Haiying CaiSchool of Biological and Chemical Engineering, Zhejiang University of Science & Technology, Hangzhou 310023, China.ORCID 0000-0002-8902-9269
Minjie ZhaoCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.

Funding

National Natural Science Foundation of China 32172214, 31972079
6 · The paper itself

Abstract

Caffeic acid phenethyl ester (CAPE) is identified to be an efficacious bioactive polyphenol in propolis for ameliorating glucose and lipid metabolism disorders and inflammation. In this study, an alcohol-induced zebrafish inflammation model was established. CAPE treatments at different concentrations (0.04, 0.2, and 1.0 μg/mL) were administered to alcohol-exposed zebrafish to investigate the underlying mechanisms of alleviating alcohol-induced liver inflammation using transcriptomic analysis and 16S rRNA gene sequencing methods. The results indicated that CAPE decreased the expressions of TNF-α and IL-1β and significantly increased the expression of IL-10 (

Indexed as

Caffeic AcidsEthanolGastrointestinal MicrobiomeInflammationPancreasPhenylethyl AlcoholAnimalsMolecular Docking SimulationRNA, Ribosomal, 16SZebrafishcaffeic acid phenethyl esterCaffeic AcidsEthanolPhenylethyl AlcoholRNA, Ribosomal, 16Scaffeic acid phenethyl esterinflammationintestinal microbiotapancreatic secretiontranscriptomics

Identifiers

PMID40723790
PMCPMC12293004

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.