Suppr超能文献

口腔微生物输入的差异决定了与健康状况相关的两种微生物群肺炎型。

Differential Oral Microbial Input Determines Two Microbiota Pneumo-Types Associated with Health Status.

机构信息

Department of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.

Key Laboratory of Tropical Diseases Control (Sun Yat-sen University), Ministry of Education, Guangzhou, 510080, China.

出版信息

Adv Sci (Weinh). 2022 Nov;9(32):e2203115. doi: 10.1002/advs.202203115. Epub 2022 Aug 28.

Abstract

The oral and upper respiratory tracts are closely linked anatomically and physiologically with the lower respiratory tract and lungs, and the influence of oral and upper respiratory microbes on the lung microbiota is increasingly being recognized. However, the ecological process and individual heterogeneity of the oral and upper respiratory tract microbes shaping the lung microbiota remain unclear owing to the lack of controlled analyses with sufficient sample sizes. Here, the microbiomes of saliva, nasal cavity, oropharyngeal area, and bronchoalveolar lavage samples are profiled and the shaping process of multisource microbes on the lung microbiota is measured. It is found that oral and nasal microbial inputs jointly shape the lung microbiota by occupying different ecological niches. It is also observed that the spread of oral microbes to the lungs is heterogeneous, with more oral microbes entering the lungs being associated with decreased lung function and increased lung proinflammatory cytokines. These results depict the external shaping process of lung microbiota and indicate the great value of oral samples, such as saliva, in monitoring and assessing lung microbiota status in clinical settings.

摘要

口腔和上呼吸道在解剖学和生理学上与下呼吸道和肺部紧密相连,口腔和上呼吸道微生物对肺部微生物组的影响正日益受到关注。然而,由于缺乏足够样本量的对照分析,口腔和上呼吸道微生物塑造肺部微生物组的生态过程和个体异质性仍不清楚。在这里,对唾液、鼻腔、口咽和支气管肺泡灌洗液样本的微生物组进行了分析,并测量了多源微生物对肺部微生物组的塑造过程。结果发现,口腔和鼻腔微生物的共同输入通过占据不同的生态位来共同塑造肺部微生物组。此外,还观察到口腔微生物向肺部的传播是不均匀的,更多的口腔微生物进入肺部与肺功能下降和肺促炎细胞因子增加有关。这些结果描绘了肺部微生物组的外部塑造过程,并表明口腔样本(如唾液)在临床环境中监测和评估肺部微生物组状态具有重要价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a7d/9661847/6efe85841aa3/ADVS-9-2203115-g003.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验