Evidence map›Paper›PMID 41196933›Full record

ArticlePloS one2025

Xiao Qing Long Tang ameliorates neutrophil extracellular trap-dendritic cells-T helper 17 cell axis in Neutrophilic Asthma.

Xiaoying Ji, Hongda Chen, Sheng-Dong He, Min Huang, Xiaoli You, Chuan Xiao, Zhifeng Chen, Jinwen Cai

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

8 authors.

Xiaoying JiDepartment of Respiratory and Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, GuizhouChina.ORCID https://orcid.org/0000-0002-4244-9901
Hongda ChenDepartment of Chinese Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Sheng-Dong HeDepartment of Respiratory and Critical care Medicine, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Min HuangDepartment of Neurology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Xiaoli YouDepartment of Respiratory and Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, GuizhouChina.
Chuan XiaoDepartment of Critical Care Medicine, the Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Zhifeng ChenDepartment of Respiratory and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jinwen CaiDepartment of Respiratory and Critical Care Medicine, The Third Xiangya Hospital of Central South University, Changsha, Hunan China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeutrophilic asthma (NA) is an allergic airway inflammation disease featuring heterogeneous neutrophil infiltration, which is driven by the interactions between dendritic cells (DCs) and T helper (Th) 17 cells. Neutrophils release neutrophil extracellular traps (Nets), which promote disease progression and glucocorticoid resistance. Therefore, targeting the interaction among Nets, DC and Th17 is a promising pathway for preventing organ damage. Traditional Chinese Medicine (TCM), especially Xiao-qing-long-tang (XQLT), has shown potential in managing eosinophilic asthma by modulating Th2 cell-mediated inflammation, reducing eosinophilic infiltration, and airway remodeling. However, XQLT's effect on Nets and DCs-Th17 interactions in NA remains unclear.

methodsWe developed two models: an ovalbumin (OVA)/lipopolysaccharide (LPS)-induced NA mouse model with interventions using either XQLT or sivelestat, and a series of bone marrow-derived dendritic cells (BMDCs)-Th17 cell differentiation models induced by Nets, OVA/LPS, OVA/LPS/Nets, XQLT, OVA/LPS/Nets/XQLT, or corresponding inhibitors. The chemical composition of XQLT was analyzed using ultra-performance liquid chromatography-mass spectrometry (UPLC-MS). Key parameters were evaluated via histopathology, immunohistochemistry, immunofluorescence scanning, flow cytometry, Western blot (WB) analysis, and enzyme-linked immunosorbent assay (ELISA).

resultsIn OVA/LPS-induced mice, treatment with sivelestat in OVA/LPS-induced mice reduced airway inflammation, Nets formation characterized by citrullinated histone H3 (CitH3) and myeloperoxidase (MPO) expressions, Th2/17 cell proportions in lungs, and interleukin (IL)-4, 6, 17, and 23 levels in bronchoalveolar lavage fluid (BALF). In vitro, OVA/LPS/Nets promoted IL-6/23 secretions and Th17 differentiation through increased p38 mitogen-activated protein kinase (MAPK)/nuclear factor κB (NF-κB) signaling phosphorylation in DCs. Fifty-one compounds were identified in XQLT, with 11 predicted to bind MAPK proteins with high affinity. XQLT significantly inhibited Nets-DCs-Th17 Axis and p38MAPK/NF-κB signaling in both NA mouse and cell models.

conclusionXQLT offered a promising treatment strategy for regulating the Nets-DCs-Th17 axis in NA.

Indexed as

AsthmaDendritic CellsDrugs, Chinese HerbalExtracellular TrapsNeutrophilsTh17 CellsAnimalsCell DifferentiationDisease Models, AnimalFemaleLipopolysaccharidesMiceMice, Inbred BALB CMice, Inbred C57BLOvalbuminDrugs, Chinese HerbalLipopolysaccharidesOvalbumin

Identifiers

PMID41196933
PMCPMC12591476

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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.