Evidence map›Paper›PMID 41909847›Full record

ArticleFrontiers in cellular and infection microbiology2026

Phage characterization analysis in respiratory samples from infected patients based on metagenomic next-generation sequencing.

Yuyan Huang, Qingqing Cai, Yingying Chen, Direerba Amutijiang, Yihan Lu, Weifeng Huang, Ling Li

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yuyan HuangSchool of Public Health, Southern Medical University, Guangzhou, China.
Qingqing CaiGenoxor Medical Science and Technology Inc., Shanghai, China.
Yingying ChenSchool of Public Health, Southern Medical University, Guangzhou, China.
Direerba AmutijiangSchool of Public Health, Southern Medical University, Guangzhou, China.
Yihan LuDepartment of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, Fudan University School of Public Health, Shanghai, China.
Weifeng HuangDepartment of Critical Care Medicine, Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Fudan University, Shanghai, China.
Ling LiSchool of Public Health, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Respiratory tract infections are common infectious diseases, with microbial dysbiosis closely linked to clinical outcomes in the host. As key regulators of bacteria, phages can influence the structure and stability of microbial communities by infecting host bacteria. Metagenomic next-generation sequencing (mNGS) enables comprehensive analysis of phage community characteristics in clinical samples. Methods: This study included 6,404 clinical samples, comprising 4,837 bronchoalveolar lavage fluids (BALF) and 1,567 sputum samples, for metagenomic next-generation sequencing (mNGS), while collecting patient demographics, sample types, mNGS results, and clinical outcomes. Host-derived sequences were removed post-sequencing and aligned against viral reference databases. Phage community structures across sample types were assessed using alpha and beta diversity metrics. Spearman correlation analysis explored associations between phages and bacteria. Further bioinformatics analysis was performed on 194 samples, including viral sequence assembly and identification using SPAdes, VirSorter2, and PhaMer; CD-HIT clustering and redundancy removal; CheckV quality assessment; PhaTYP lifestyle prediction; Prodigal protein gene annotation; and BLASTP alignment against the CARD database to screen for phage resistance genes. Results: The sputum and BALF groups exhibited comparable richness, diversity, and evenness, yet their community structures differed significantly. Intensive Care Unit (ICU) admission status was closely associated with reduced phage community diversity and significant alterations in community structure, and the abundance distribution of several phage families ( Conclusion: This study identifies distinct phage community characteristics across respiratory sample types and reveals that ICU patients exhibit reduced phage diversity and markedly altered community structures. Furthermore, the phage composition in upper respiratory tract samples shows a clear relationship with patient prognosis, providing new insights into respiratory infection microecology.

Indexed as

BacteriophagesBronchoalveolar Lavage FluidHigh-Throughput Nucleotide SequencingMetagenomicsRespiratory Tract InfectionsSputumAgedBacteriaComputational BiologyFemaleHumansMaleMetagenomeMicrobiotaMiddle Agedbronchoalveolar lavage fluidmetagenomic next-generation sequencing (mNGS)phagerespiratory tract infectionsputum

Identifiers

PMID41909847
PMCPMC13017799

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.