Evidence map›Paper›PMID 40766845›Full record

ArticleFrontiers in cellular and infection microbiology2025

Metagenomic next-generation sequencing-based characterization of the viral spectrum in clinical pulmonary and peripheral blood samples of patients.

Ning Zheng, Hai-Long Yu, Bing-Jie Zhang, Dan Wang, Ya-Liang Ji, Lu-Lu Dai, Wen Li, Sheng-Hui Li, Zhi-Liang Hu, Yi-Shan Zheng

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Ning Zheng *Department of Critical Care Medicine, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
Hai-Long Yu *Puensum Genetech Institute, Wuhan, China.
Bing-Jie Zhang *Department of Critical Care Medicine, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
Dan WangDepartment of Critical Care Medicine, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
Ya-Liang JiDepartment of Critical Care Medicine, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
Lu-Lu DaiDepartment of Critical Care Medicine, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
Wen LiDepartment of Critical Care Medicine, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
Sheng-Hui LiPuensum Genetech Institute, Wuhan, China.
Zhi-Liang HuDepartment of Infectious Disease, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, China.
Yi-Shan ZhengDepartment of Critical Care Medicine, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metagenomic next-generation sequencing (mNGS) enables comprehensive profiling of viral communities in clinical samples. However, comparative analyses of the virome across anatomical compartments and disease states remain limited. This study aims to characterize the virome in bronchoalveolar lavage fluid (BALF) and peripheral blood samples from patients with various clinical conditions using mNGS. Methods: A total of 338 clinical samples-including 240 BALF and 69 blood samples for DNA sequencing, and 18 BALF and 11 blood samples for RNA sequencing-underwent shotgun metagenomic sequencing. Following removal of host-derived reads, high-quality non-human sequences were aligned to a viral reference database. Virome composition was assessed through alpha and beta diversity metrics. Principal coordinates analysis was used to evaluate disease-related variation, and virus-bacteria associations in BALF were investigated via Spearman correlation. Results: Sequencing yielded an average of 51 million raw reads per sample, resulting in approximately 8 million non-human reads after host filtering. Distinct virome profiles were observed between BALF and blood samples. Bacteriophages dominated all groups, with Conclusions: This study reveals pronounced differences in virome composition between the respiratory and circulatory systems and highlights the specific influence of pulmonary disease-but not tumors-on the pulmonary virome. The observed virus-bacteria networks provide novel insights into pulmonary microbial ecology and underscore the importance of integrating host and disease context in virome studies.

Indexed as

BloodBronchoalveolar Lavage FluidHigh-Throughput Nucleotide SequencingLungMetagenomicsViromeVirus DiseasesVirusesAdultAgedBacteriaFemaleHumansMaleMiddle Agedbronchoalveolar lavage fluidmetagenomic next-generation sequencingperipheral bloodviral compositionvirus-bacteria interactions

Identifiers

PMID40766845
PMCPMC12321765

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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.