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肺炎中的微生物和临床差异:来自社区获得性重症肺炎患者宏基因组下一代测序的见解

Microbial and clinical disparities in pneumonia: insights from metagenomic next-generation sequencing in patients with community-acquired and severe pneumonia.

作者信息

Luo Wang, Zhang Shuhua, Sun Jinhuan, Xu Jianhui, Huang Weihua, Hao Ruiqing, Ou Zhao, Wen Ziyang, Wang Daiwei, Xiao Guanhua, Dong Hangming

机构信息

Department of Respiratory and Critical Care Medicine, The Zengcheng Branch of Nanfang Hospital, Southern Medical University, Guangzhou, China.

Dian Diagnostics Group Co. Ltd., Hangzhou, China.

出版信息

Front Microbiol. 2025 Jun 20;16:1538109. doi: 10.3389/fmicb.2025.1538109. eCollection 2025.

DOI:10.3389/fmicb.2025.1538109
PMID:40620487
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12227010/
Abstract

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 Medicine at the Zengcheng Branch of Nanfang Hospital, Southern Medical University, spanning the period from September 2022 to June 2023. Clinical characteristics were compared, and bronchoalveolar lavage fluid (BALF) samples underwent mNGS for microbial detection and characterization. Statistical analyses, encompassing Chi-square, Fisher's exact test, Student's -test, and LEfSe analysis, were employed to compare clinical and microbiological data between the CAP and SP cohorts.

RESULTS

Patients with SP were significantly older and exhibited higher incidences of sepsis, hypotension, tachycardia, multilobar infiltrates, and consciousness disorders compared to those with CAP. Elevated levels of C-reactive protein (CRP) and procalcitonin (PCT) were more frequently observed in SP patients. mNGS analysis identified diagnostic microbiology profiles between groups. Diverse microbiological profiles (> 5 species) were more common in SP patients (> 30% detection rate). Beta diversity analysis demonstrated significant differences in microbial community composition between CAP and SP groups ( = 0.001), though alpha diversity metrics showed no significant differences. Both LEfSe and ANCOM-BC2 analyses consistently identified as a potential biomarker for SP and for CAP.

CONCLUSION

The substantial differences observed in clinical characteristics, pathogen profiles, and microbiomes between patients with CAP and those with SP highlight the imperative need for comprehensive diagnostic methodologies in the management of pneumonia. mNGS has demonstrated substantial utility in informing personalized treatment strategies, with the potential to enhance clinical outcomes. Future research should prioritize elucidating the dynamics of microbial communities and their impact on pneumonia severity, with the objective of refining and optimizing therapeutic strategies.

摘要

背景

社区获得性肺炎(CAP)是全球主要的死亡原因之一,其症状和严重程度各异,给诊断和治疗带来了复杂性。重症肺炎(SP)是CAP的一种更严重形式,死亡率更高,通常需要重症监护。识别能够区分CAP和SP的临床标志物,有可能改善治疗方案并提高患者预后。与此同时,宏基因组下一代测序(mNGS)在病原体检测以及阐明CAP和SP之间的微生物组差异方面显示出巨大潜力。

方法

这项回顾性研究分析了南方医科大学南方医院增城院区呼吸与危重症医学科204例诊断为CAP的患者和25例诊断为SP的患者在2022年9月至2023年6月期间的临床和病原体数据。比较了临床特征,并对支气管肺泡灌洗(BALF)样本进行mNGS检测以鉴定微生物并进行特征分析。采用卡方检验、Fisher精确检验、t检验和线性判别分析效应大小(LEfSe)分析等统计方法,比较CAP组和SP组之间的临床和微生物学数据。

结果

与CAP患者相比,SP患者年龄显著更大,脓毒症、低血压、心动过速、多叶浸润和意识障碍的发生率更高。SP患者中更常观察到C反应蛋白(CRP)和降钙素原(PCT)水平升高。mNGS分析确定了两组之间的诊断微生物学特征。多种微生物特征(>5种)在SP患者中更为常见(检出率>30%)。β多样性分析表明CAP组和SP组之间的微生物群落组成存在显著差异(P = 0.001),尽管α多样性指标无显著差异。LEfSe分析和ANCOM-BC2分析均一致确定[具体细菌名称1]为SP的潜在生物标志物,[具体细菌名称2]为CAP的潜在生物标志物。

结论

CAP患者和SP患者在临床特征、病原体特征和微生物组方面存在的显著差异,凸显了在肺炎管理中采用综合诊断方法的迫切需求。mNGS已证明在指导个性化治疗策略方面具有重要作用,有可能改善临床结局。未来的研究应优先阐明微生物群落的动态变化及其对肺炎严重程度的影响,以期完善和优化治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a09/12227010/65a6f3dec81c/fmicb-16-1538109-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a09/12227010/f782949e6c51/fmicb-16-1538109-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a09/12227010/0495ebe1985d/fmicb-16-1538109-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a09/12227010/36c980c9bb0d/fmicb-16-1538109-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a09/12227010/65a6f3dec81c/fmicb-16-1538109-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a09/12227010/f782949e6c51/fmicb-16-1538109-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a09/12227010/0495ebe1985d/fmicb-16-1538109-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a09/12227010/36c980c9bb0d/fmicb-16-1538109-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a09/12227010/65a6f3dec81c/fmicb-16-1538109-g004.jpg

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