Evidence map›Paper›PMID 39736750›Full record

ArticleJournal of cardiothoracic surgery2024

Study of the effect of azithromycin on airway remodeling in asthma via the SAPK/JNK pathway.

Dannv Ma, Huaqing Du, Yi Huang, Aiwu Pan, Lu Gan

Abstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Dannv MaDepartment of Internal Medicine, the Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Shangcheng District, Hangzhou, China, 310009. madannv@zju.edu.cn.ORCID http://orcid.org/0009-0008-5436-3583
Huaqing DuDepartment of Internal Medicine, the Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Shangcheng District, Hangzhou, China, 310009.
Yi HuangDepartment of Internal Medicine, the Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Shangcheng District, Hangzhou, China, 310009.
Aiwu PanDepartment of Internal Medicine, the Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Shangcheng District, Hangzhou, China, 310009.
Lu GanDepartment of Internal Medicine, the Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Shangcheng District, Hangzhou, China, 310009.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAsthma is a prevalent status attributing to lower respiratory tract chronic inflammation. Azithromycin (AZM) is known to be effective against asthma. Thus, this study delved into the mechanism of AZM repressing airway remodeling (AR) via the SAPK/JNK pathway in asthma.

methodsSimulated asthmatic AR mouse model was developed by induction with ovalbumin (OVA) and intervened with AZM or dexamethasone (DEX) and anisomycin (JNK activator). Pathological changes in mouse lung tissues and AR were assessed by HE and Masson staining. The numbers of inflammatory cells, macrophages, eosinophils, neutrophils and lymphocytes in bronchoalveolar lavage fluid (BALF) were detected by Diff-Quik staining. Inflammatory factor levels (IL-6, TNF-α, IL-4) in BALF, and Collagen I, Collagen III, SAPK/JNK and p-SAPK/JNK protein levels in lung tissues were measured by ELISA and Western blot.

resultsThe OVA-led asthmatic mouse model was successfully established. Relative to the OVA group, AZM and DEX treatment improved pulmonary smooth muscle thickening and bronchial epithelial fibrosis, reduced inflammatory cells, macrophages, eosinophils, neutrophils and lymphocytes in BALF, inhibited inflammatory factor TNF-α, IL-6, and IL-4 levels in BALF, and down-regulated Collagen I, Collagen III, and p-SAPK/JNK protein levels in lung tissues, with no prominent difference between the two regimens. JNK activator partially reversed the protective effect of AZM against OVA-induced asthma in mice.

conclusionAZM alleviated airway inflammation by inhibiting the SAPK/JNK pathway, thereby repressing AR in asthmatic mice. This study provided partial theoretical basis for clarifying asthma pathogenesis and new ideas for treating asthma.

Indexed as

Airway RemodelingAsthmaAzithromycinDisease Models, AnimalMice, Inbred BALB CAnimalsBronchoalveolar Lavage FluidFemaleMAP Kinase Signaling SystemMiceAzithromycinAirway inflammationAirway remodelingAsthmaAzithromycinStress activated protein kinases/C-jun N-terminal kinases

Identifiers

PMID39736750
PMCPMC11684290

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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.