Evidence map›Paper›PMID 41214546›Full record

ArticleBMC infectious diseases2025

Multiplex metagenomic sequencing for rapid viral pathogen identification and surveillance in clinical specimens.

Yu-Siang Su, Wei-Hsiang Tsai, Han-Chieh Wu, Yueh-Tzu Chiu, Ni-Rong Jiang, Chien-Yu Lee, Shu-Hsing Cheng, Chih-Ting Huang, Chia-Yu Chi, En-Ju Lin and 7 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. 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

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

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

17 authors.

Yu-Siang SuNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, 35 Keyan Road, Zhunan, 35053, Taiwan.
Wei-Hsiang TsaiNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, 35 Keyan Road, Zhunan, 35053, Taiwan.
Han-Chieh WuNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, 35 Keyan Road, Zhunan, 35053, Taiwan.
Yueh-Tzu ChiuNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, 35 Keyan Road, Zhunan, 35053, Taiwan.
Ni-Rong JiangDepartment of Infectious Diseases, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan.
Chien-Yu LeeDepartment of Pediatrics, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan.
Shu-Hsing ChengDepartment of Infectious Diseases, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan.
Chih-Ting HuangNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, 35 Keyan Road, Zhunan, 35053, Taiwan.
Chia-Yu ChiNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, 35 Keyan Road, Zhunan, 35053, Taiwan.
En-Ju LinNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, 35 Keyan Road, Zhunan, 35053, Taiwan.
Yi-Ping KuoNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, 35 Keyan Road, Zhunan, 35053, Taiwan.
Wan-Ting TsaiNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, 35 Keyan Road, Zhunan, 35053, Taiwan.
Chih-Feng TienNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, 35 Keyan Road, Zhunan, 35053, Taiwan.
Yu-Chieh LiaoInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
Kuan-Lin LeeDepartment of Pediatrics, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan. leekuanlin@hotmail.com.
Feng-Jui ChenNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, 35 Keyan Road, Zhunan, 35053, Taiwan. frchen@nhri.edu.tw.
Guann-Yi YuNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, 35 Keyan Road, Zhunan, 35053, Taiwan. guannyiy@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid and accurate viral detection is essential for clinical diagnosis and effective outbreak surveillance. Traditional methods, including culture-based isolation and antigen tests, are time-consuming and limited by tissue tropism. Multiplex PCR panels, although faster, are constrained by predefined targets, limiting their ability to detect novel or unexpected viral strains.

methodsWe applied Oxford Nanopore Technology sequencing (ONT-Seq), a long-read, real-time, and multiplex metagenomic platform, to 85 clinical specimens using a sequence-independent, single-primer amplification (SISPA) workflow. Sequencing results were compared with routine clinical diagnostics for concordance and for identification of co-infections

resultsONT-Seq achieved 80% concordance with clinical diagnostics and identified co-infections in 7% of cases missed by routine testing, including influenza C virus (ICV), and Sapporovirus. Among 58 adenovirus-positive cases, 31 samples with over 80% genome coverage at 20× depth were used for phylogenetic analysis, revealing adenovirus B3 as the predominant circulating strain.

conclusionsONT-based metagenomic sequencing enhances the detection of both known and emerging viruses in clinical specimens. Its ability to provide real-time, unbiased data supports its utility in improving diagnostic accuracy and viral surveillance. CLINICAL TRIAL: Not applicable.

Indexed as

MetagenomicsVirus DiseasesVirusesCoinfectionFemaleHigh-Throughput Nucleotide SequencingHumansMultiplex Polymerase Chain ReactionNanopore SequencingPhylogenyAdenovirusHuman parainfluenza virusNanopore sequencingRespiratory syncytial virusSapporovirusSurveillance

Identifiers

PMID41214546
PMCPMC12604265

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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.