ORIGINAL RESEARCH article
Front. Microbiol.
Sec. Infectious Agents and Disease
Volume 16 - 2025 | doi: 10.3389/fmicb.2025.1538109
This article is part of the Research TopicHot Topics 2023: Systematic approaches to Respiratory Diseases: Pathology and TherapeuticsView all 8 articles
Microbial and Clinical Disparities in Pneumonia: Insights from Metagenomic Next-Generation Sequencing in Patients with Community-Acquired and Severe Pneumonia Running Head Comparative Analysis of Metagenomic Sequencing in Community-Acquired Pneumonia and Severe Pneumonia
Provisionally accepted- 1Department of Respiratory Medicine, The Zengcheng Branch of Nanfang Hospital, Southern Medical University, Guangzhou, China
- 2Guangzhou Dian Medical Laboratory Co., Ltd., Guangzhou, China
- 3Dian Diagnostics Group Co.,Ltd., Hangzhou, Zhejiang Province, China
- 4Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Dian Diagnostics Group Co.,Ltd., Hangzhou, China
- 5Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China
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Background Community-acquired pneumonia (CAP) is a major global cause of death, with its varying symptoms and severity complicating diagnosis and treatment. Severe pneumonia (SP), a more critical form of CAP, has higher mortality and often requires intensive care. The identification of clinical markers to differentiate CAP from SP has the potential to improve treatment protocols and patient outcomes. Concurrently, metagenomic next-generation sequencing (mNGS) demonstrates significant promise in pathogen detection and in elucidating microbiome disparities between CAP and SP. Methods This retrospective study analyzed clinical and pathogen data from 204 patients diagnosed with CAP and 25 patients diagnosed with SP in the Department of Respiratory and Critical Care
Keywords: Community-acquired pneumonia, Severe pneumonia, Clinical Characteristics, metagenomic next-generation sequencing, Microbiological profiles
Received: 19 Dec 2024; Accepted: 28 Apr 2025.
Copyright: © 2025 Wang, Zhang, Sun, Xu, Huang, Hao, Wen, Ou, WANG, Xiao and Dong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Daiwei WANG, Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Dian Diagnostics Group Co.,Ltd., Hangzhou, China
Guanhua Xiao, Department of Respiratory Medicine, The Zengcheng Branch of Nanfang Hospital, Southern Medical University, Guangzhou, China
Hangming Dong, Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China
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