Evidence map›Paper›PMID 39925847›Full record

ArticleFrontiers in pharmacology2025

Yunvjian decoction attenuates lipopolysaccharide-induced acute lung injury by inhibiting NF-κB/NLRP3 pathway and pyroptosis.

Fanxuan Zhang, Fang Wang, Lisha Zhao, Leqian Wang, Wenjing Li, Feihua Huang, Nani Wang

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Fanxuan Zhang *Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Fang Wang *School of Pharmacy, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Lisha ZhaoTongde Hospital, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Leqian WangCollege of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Wenjing LiSecond Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Feihua HuangSecond Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Nani WangSchool of Pharmacy, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Yunvjian (YNJ) decoction, a classic traditional Chinese medicine prescription for inflammatory diseases, has demonstrated good therapeutic effects in the clinical treatment of pneumonia. The aim of this study was to clarify the effective ingredients and mechanism of action of YNJ on lipopolysaccharide (LPS)-induced acute lung injury (ALI). Methods: The effects of YNJ were evaluated in a mouse model of LPS-induced ALI and in LPS-treated MLE-12 murine lung epithelial cells and RAW264.7 macrophages Results: YNJ attenuated pulmonary damage in LPS-treated mice, as evidenced by reduced protein content in bronchoalveolar lavage fluid, decreased lung wet/dry weight ratio, and improved respiratory function. Analysis of pneumonia-related lung injury samples from patients in the Gene Expression Omnibus dataset GSE40012 indicated that NOD-like receptor protein 3 (NLRP3)-mediated pyroptosis was a primary mechanism in ALI. YNJ reduced the phosphorylation of nuclear factor-kappa B (NF-κB) and decreased the expression levels of lung NLRP3, apoptosis-associated speck-like protein containing a CARD (ASC), cleaved caspase-1, and interleukin-1β levels (IL-1β) Conclusion: YNJ attenuates LPS-induced ALI in mice by inhibiting pyroptosis of lung epithelial cells and macrophages via suppression of the NF-κB/NLRP3 pathway. Our findings provide novel insights into the therapeutic effects of YNJ on ALI.

Indexed as

active ingredientsacute lung injuryNF-κBNLRP3Yunvjian decoction

Identifiers

PMID39925847
PMCPMC11802820

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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.