Evidence map›Paper›PMID 41373654›Full record

ArticleInternational journal of molecular sciences2025

The Frog Skin-Derived Antimicrobial Peptide Suppresses Atherosclerosis by Modulating the KLF12/p300 Axis Through miR-590-5p.

Fan Fan, Meng-Miao Li, Zhong-Peng Qiu, Zhen-Jia Li, De-Jing Shang

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Fan FanSchool of Life Science, Liaoning Normal University, Dalian 116081, China.
Meng-Miao LiSchool of Life Science, Liaoning Normal University, Dalian 116081, China.
Zhong-Peng QiuSchool of Life Science, Liaoning Normal University, Dalian 116081, China.ORCID 0009-0009-1749-3706
Zhen-Jia LiSchool of Life Science, Liaoning Normal University, Dalian 116081, China.
De-Jing ShangSchool of Life Science, Liaoning Normal University, Dalian 116081, China.

Funding

National Natural Science Foundation of China 31702023National Natural Science Foundation of China 32070440National Natural Science Foundation of China 32170499National Natural Science Foundation of China 32270513
6 · The paper itself

Abstract

Inflammation is a hallmark of atherosclerosis (AS), a complex chronic vascular disease. This study investigates the anti-atherosclerotic effects of the frog skin antimicrobial peptide(AMP) C-1b(3-13) in vitro and in vivo, focusing on the anti-inflammatory mechanism mediated by the miR-590-5p/KLF12/p300 axis in ox-LDL-induced PMA-THP-1 foam cells. MicroRNA(miRNA) sequencing was used to investigate the effects of AMP C-1b(3-13) on miRNA expression in ox-LDL-induced foam cells. Pro-inflammatory cytokine secretion regulated by miR-590-5p was detected by ELISA. Potential targets of miR-590-5p were bioinformatically predicted and validated through dual-luciferase reporter and RNA Immunoprecipitation(RIP)-qPCR assays. Western blot was used to assess the effects of C-1b(3-13) on Krüppel-like factor 12(KLF12), nuclear p300, and nuclear factor kappa B(NF-κB) pathway proteins;

Indexed as

Antimicrobial Cationic PeptidesAtherosclerosisKruppel-Like Transcription FactorsMicroRNAsAnimalsAnuraApolipoproteins EDisease Models, AnimalFoam CellsHumansLipoproteins, LDLMaleMiceNF-kappa BSignal TransductionSkinAntimicrobial Cationic PeptidesApolipoproteins EKruppel-Like Transcription FactorsLipoproteins, LDLMicroRNAsMIRN590 microRNA, humanNF-kappa Boxidized low density lipoproteinantimicrobial peptide C-1b(3-13)ApoE−/− miceatherosclerosisKLF12miR-590-5p

Identifiers

PMID41373654
PMCPMC12691761

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Registered trials

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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.