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嗜酸性粒细胞性哮喘和中性粒细胞性哮喘中不同的气道微生物群和代谢物谱

Distinct Airway Microbiome and Metabolite Profiles in Eosinophilic and Neutrophilic Asthma.

作者信息

Liu Shuang, Lin Zhiwei, Zhou Jiayong, Yang Xiaojing, You Liuyong, Yang Qianyue, Li Tianyang, Hu Zhaoming, Zhan Xuyan, Jiang Yueting, Sun Baoqing

机构信息

Department of Clinical Laboratory, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Laboratory, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China.

Respiratory Mechanics Laboratory, State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, 510120, People's Republic of China.

出版信息

J Asthma Allergy. 2025 Jun 13;18:1003-1022. doi: 10.2147/JAA.S521800. eCollection 2025.

Abstract

BACKGROUND

Asthma is a chronic, heterogeneous disease driven by inflammatory phenotypes, primarily eosinophilic asthma (EA) and neutrophilic asthma (NEA). While allergen triggers are well-known, the role of the airway microbiome and metabolites in asthma exacerbations remains poorly understood.

METHODS

We recruited 64 participants (24 EA, 20 NEA, 20 healthy controls [HC]) for the discovery cohort, with validation in an external cohort (10 EA, 8 NEA, 8 HC). Induced sputum samples were analyzed using 16S rRNA sequencing to profile bacterial composition and non-targeted metabolomics to assess airway metabolites. Random forest models identified diagnostic markers, validated in the external cohort.

RESULTS

Significant shifts in airway microbiota were observed, particularly between NEA and HC, and between EA and NEA. Four bacterial general-, , , and -were consistently identified across groups. was more abundant in NEA vs HC, while was enriched in NEA vs EA, indicating distinct microbial signatures. Metabolomic profiling revealed distinct pathways: pyrimidine metabolism (EA vs HC), tryptophan metabolism (NEA vs HC), and arachidonic acid metabolism (EA vs NEA). Microbial-metabolite correlations indicated microbiota-driven metabolic activity. Biomarker candidates were validated in the external cohort.

CONCLUSION

The airway microbiota and metabolites are intricately linked to asthma exacerbations, with distinct patterns between EA and NEA. These findings highlight their potential as diagnostic biomarkers and therapeutic targets for personalized asthma management.

摘要

背景

哮喘是一种由炎症表型驱动的慢性异质性疾病,主要包括嗜酸性粒细胞性哮喘(EA)和中性粒细胞性哮喘(NEA)。虽然过敏原触发因素众所周知,但气道微生物群和代谢产物在哮喘发作中的作用仍知之甚少。

方法

我们招募了64名参与者(24名EA、20名NEA、20名健康对照[HC])作为发现队列,并在一个外部队列(10名EA、8名NEA、8名HC)中进行验证。使用16S rRNA测序分析诱导痰样本以分析细菌组成,并使用非靶向代谢组学评估气道代谢产物。随机森林模型确定诊断标志物,并在外部队列中进行验证。

结果

观察到气道微生物群有显著变化,特别是在NEA和HC之间以及EA和NEA之间。在各队列中一致鉴定出四种细菌属, 、 、 和 。与HC相比, 在NEA中更为丰富,而与EA相比, 在NEA中富集,表明存在不同的微生物特征。代谢组学分析揭示了不同的途径:嘧啶代谢(EA与HC)、色氨酸代谢(NEA与HC)和花生四烯酸代谢(EA与NEA)。微生物-代谢产物相关性表明微生物群驱动的代谢活性。候选生物标志物在外部队列中得到验证。

结论

气道微生物群和代谢产物与哮喘发作密切相关,EA和NEA之间存在不同模式。这些发现突出了它们作为个性化哮喘管理的诊断生物标志物和治疗靶点的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0cb/12174932/d30bc93dddce/JAA-18-1003-g0001.jpg

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