Evidence map›Paper›PMID 42272840›Full record

ArticleFrontiers in pharmacology2026

Clove (

Tin-Yun Ho, Hsin-Yi Lo, Chiao-Che Chen, Hui-Chi Huang, Chien-Yun Hsiang

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Tin-Yun HoSchool of Chinese Medicine & Graduate Institute of Chinese Medicine, China Medical University, Taichung, Taiwan.
Hsin-Yi LoSchool of Chinese Medicine & Graduate Institute of Chinese Medicine, China Medical University, Taichung, Taiwan.
Chiao-Che ChenDepartment of Microbiology and Immunology, China Medical University, Taichung, Taiwan.
Hui-Chi HuangSchool of Chinese Medicine & Graduate Institute of Chinese Medicine, China Medical University, Taichung, Taiwan.
Chien-Yun HsiangDepartment of Microbiology and Immunology, China Medical University, Taichung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Clove ( Methods: We used an imiquimod (IMQ)-induced mouse model to assess the effects of oral clove extract and eugenol. Proteomic alterations were identified via isobaric tags for relative and absolute quantitation-based liquid chromatography-tandem mass spectrometry and bioinformatics. The specific interaction with the interleukin-17A (IL-17A)/IL-17 receptor A (IL-17RA) interface was validated through competitive binding assays and molecular docking, with further confirmation via immunohistochemistry. Results: Eugenol was identified as the major constituent of clove extract (65.8%). Clove extract and eugenol significantly alleviated psoriasiform lesions, reducing scaling scores and epidermal thickness. Proteomic analysis revealed that both treatments reversed IMQ-induced inflammatory signatures by modulating the interleukin-36 (IL-36) and IL-17 signaling pathways, specifically increasing IL-36 receptor antagonist expression while suppressing IL-36 levels. Conclusion: Clove extract and its major bioactive constituent eugenol exert significant anti-psoriatic effects through coordinated modulation of the IL-36/IL-17A inflammatory axis and suppression of NF-κB signaling. These findings provide mechanistic insight into the traditional use of clove in inflammatory skin disorders and highlight eugenol as a key bioactive mediator with potential as a complementary therapeutic strategy for psoriasis.

Indexed as

eugenolinterleukin-17Ainterleukin-36proteomicspsoriasisSyzygium aromaticum

Identifiers

PMID42272840
PMCPMC13246417

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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.