Evidence map›Paper›PMID 42510629›Full record

ArticleAntioxidants (Basel, Switzerland)2026

Pectolinarigenin Attenuates LPS-Induced Lung Inflammation and Injury with Reduced HDAC3/NF-κB/NLRP3 Signaling.

Danbee Kim, Dong-Keon Lee, Jeong-Ran Park

Abstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 2026. 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. Article
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

3 authors.

Danbee KimDivision of Research Program, Scripps Korea Antibody Institute, Chuncheon 24341, Gangwon-do, Republic of Korea.ORCID 0009-0002-3149-5045
Dong-Keon LeeDivision of Research Program, Scripps Korea Antibody Institute, Chuncheon 24341, Gangwon-do, Republic of Korea.
Jeong-Ran ParkDivision of Research Program, Scripps Korea Antibody Institute, Chuncheon 24341, Gangwon-do, Republic of Korea.ORCID 0000-0001-5254-4665

Funding

Ministry of Health and Welfare RS-2025-24535069Scripps Korea Antibody Institute SKAI-23PS11
6 · The paper itself

Abstract

Pectolinarigenin (PEC), a naturally occurring flavonoid, exhibits anti-inflammatory and antioxidant activities in various experimental models. However, its protective effects against lipopolysaccharide (LPS)-induced lung inflammation and the underlying molecular mechanisms remain unclear. This study investigated the protective effects of PEC using LPS-treated MLE12 cells and RAW264.7 macrophages, as well as a prophylactic mouse model in which PEC was administered before LPS exposure. In LPS-treated MLE12 cells and RAW264.7 macrophages, PEC reduced inflammatory responses and cellular injury, accompanied by decreased reactive oxygen species production and modulation of the histone deacetylase 3 (HDAC3)/nuclear factor κB (NF-κB)/NOD-like receptor family pyrin domain-containing protein 3 (NLRP3) signaling. Consistent with these findings, PEC pretreatment attenuated pulmonary edema, inflammatory cell infiltration, pro-inflammatory cytokine production, oxidative stress, pyroptosis-associated signaling, and histopathological lung injury in LPS-exposed mice. These protective effects were accompanied by reduced HDAC3 expression and nuclear localization, together with reduced NF-kB/NLRP3 signaling in lung tissues. Overall, PEC attenuated LPS-induced lung inflammation and injury, accompanied by reduced oxidative stress and modulation of HDAC3/NF-κB/NLRP3 signaling. These findings support the potential of PEC as a preventive agent against excessive pulmonary inflammation.

Indexed as

acute lung injuryHDAC3inflammasomeNF-κBNLRP3pectolinarigenin

Identifiers

PMID42510629
PMCPMC13404758

What OpenQuestion holds

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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.