Evidence map›Paper›PMID 39520618›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2025

Clinical relevance of lung microbiota composition in critically ill children with acute lower respiratory tract infections: insights from a retrospective analysis of metagenomic sequencing.

Zhiyu Men, Zhiheng Chen, Xinmeng Gu, Yichen Wang, Xingheng Zhang, Fang Fang, Meili Shen, Saihu Huang, Shuiyan Wu, Libing Zhou and 1 more

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Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Zhiyu MenPediatric Intensive Care Unit, Children's Hospital of Soochow University, No. 92, Zhongnan Street, Suzhou Industrial park, Suzhou, Jiangsu, 215025, China.
Zhiheng ChenPediatric Intensive Care Unit, Children's Hospital of Soochow University, No. 92, Zhongnan Street, Suzhou Industrial park, Suzhou, Jiangsu, 215025, China.
Xinmeng GuPediatric Intensive Care Unit, Children's Hospital of Soochow University, No. 92, Zhongnan Street, Suzhou Industrial park, Suzhou, Jiangsu, 215025, China.
Yichen WangPediatric Intensive Care Unit, Children's Hospital of Soochow University, No. 92, Zhongnan Street, Suzhou Industrial park, Suzhou, Jiangsu, 215025, China.
Xingheng ZhangPediatric Intensive Care Unit, Children's Hospital of Soochow University, No. 92, Zhongnan Street, Suzhou Industrial park, Suzhou, Jiangsu, 215025, China.
Fang FangInstitute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, Jiangsu, China.
Meili ShenMedical Department, Nanjing Dinfectome Technology Inc., Nanjing, Jiangsu, China.
Saihu HuangPediatric Intensive Care Unit, Children's Hospital of Soochow University, No. 92, Zhongnan Street, Suzhou Industrial park, Suzhou, Jiangsu, 215025, China.
Shuiyan WuPediatric Intensive Care Unit, Children's Hospital of Soochow University, No. 92, Zhongnan Street, Suzhou Industrial park, Suzhou, Jiangsu, 215025, China.
Libing ZhouPediatric Intensive Care Unit, Children's Hospital of Soochow University, No. 92, Zhongnan Street, Suzhou Industrial park, Suzhou, Jiangsu, 215025, China. libing_zhou@outlook.com.
Zhenjiang BaiPediatric Intensive Care Unit, Children's Hospital of Soochow University, No. 92, Zhongnan Street, Suzhou Industrial park, Suzhou, Jiangsu, 215025, China. 18913510429@163.com.

Funding

Gusu Health Talent Program GSWS2019015Medical Research Project of Jiangsu Provincial Commission of Health H2023106Natural Science Foundation of Jiangsu Province BK20211077Science and Technology Development Project of Suzhou SKJY2021108Science and Technology Development Project of Suzhou SKY2022178Science and Technology Support Program of Jiangsu Province BE2023714Suzhou Medical College Clinician Scientist Program ML13100423
6 · The paper itself

Abstract

purposeAcute lower respiratory tract infections (ALRIs) is a leading cause of child mortality worldwide. Metagenomic next-generation sequencing (mNGS) identifies ALRIs pathogens and explores the lung microbiota's role in disease severity and clinical outcomes. This study examines the association between lung microbiota and ALRIs outcomes in children, exploring its potential as a prognostic biomarker.

methodsWe retrospectively analyzed mNGS data from the bronchoalveolar lavage fluid (BALF) of 83 pediatric ALRIs patients from 2019 to 2023. Microbial diversity and relative abundances of specific taxa were compared between survivor and non-survivor groups, as well as between varying severity levels. LEfSe was employed to identify key biomarkers related to survival and disease severity.

resultsAmong the 83 patients, 68 survived and 15 died. Patients were also divided into a low severity group (n = 38) and a moderate-to-very-high severity group (n = 45) according to mPIRO score at admission. Significant differences in beta diversity were observed between the survival groups and across different severity levels. Prevotella, Haemophilus and Veillonella exhibited higher abundances in both the survivor and low severity groups, suggesting their potential as predictors of better outcomes. Conversely, Enterococcus and Acinetobacter baumannii were more prevalent in the non-survivor and moderate-to-very-high severity groups. Additionally, Streptococcus pneumoniae and Streptococcus mitis showed increased abundances in survivors. LEfSe further revealed that these microorganisms may predict outcomes and severity in ALRIs.

conclusionOur findings underscore the complex relationship between lung microbiota and ALRIs, with specific microbial profiles associated with disease severity and clinical outcomes. This underscores the need for further research to explore and validate its prognostic predictive capacity. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

BacteriaLungMicrobiotaRespiratory Tract InfectionsBronchoalveolar Lavage FluidChildChild, PreschoolClinical RelevanceCritical IllnessFemaleHigh-Throughput Nucleotide SequencingHumansInfantMaleMetagenomicsPrognosisAcute lower respiratory tract infectionsHigh-throughput nucleotide sequencingLung microbiotaPediatricsPrognosis

Identifiers

PMID39520618
PMCPMC11739189

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Registered trials

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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.