Evidence map›Paper›PMID 39875797›Full record

ArticleScientific reports2025

Clinical performance of real-time nanopore metagenomic sequencing for rapid identification of bacterial pathogens in cerebrospinal fluid: a pilot study.

Yoon Hyun Sung, Yong Kuk Ju, Hak Jun Lee, Seung Min Park, Jin Woong Suh, Jeong Yeon Kim, Jang Wook Sohn, Young Kyung Yoon

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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  5. Article
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  7. Computational Metagenomics: State of the Art.International journal of molecular sciences · 2025
    Review
  8. Article
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

8 authors.

Yoon Hyun SungInstitute of Emerging Infectious Diseases, Korea University, Seoul, Republic of Korea.
Yong Kuk JuInstitute of Emerging Infectious Diseases, Korea University, Seoul, Republic of Korea.
Hak Jun LeeInstitute of Emerging Infectious Diseases, Korea University, Seoul, Republic of Korea.
Seung Min ParkInstitute of Emerging Infectious Diseases, Korea University, Seoul, Republic of Korea.
Jin Woong SuhDivision of Infectious Diseases, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, 73 Inchon-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.
Jeong Yeon KimDivision of Infectious Diseases, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, 73 Inchon-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.
Jang Wook SohnInstitute of Emerging Infectious Diseases, Korea University, Seoul, Republic of Korea.
Young Kyung YoonInstitute of Emerging Infectious Diseases, Korea University, Seoul, Republic of Korea. young7912@korea.ac.kr.

Funding

Ministry of Health and Welfare HI23C1297Yuhan Q2021541
6 · The paper itself

Abstract

This study aimed to evaluate the usefulness of amplicon-based real-time metagenomic sequencing applied to cerebrospinal fluid (CSF) for identifying the causative agents of bacterial meningitis. We conducted a 16S rRNA amplicon sequencing using a nanopore-based platform, alongside routine polymerase chain reaction (PCR) testing or bacterial culture, to compare its clinical performance in pathogen detection on CSF samples. Among 17 patients, nanopore-based sequencing, multiplex PCR, and bacterial culture detected potential bacterial pathogens in 47.1%, 0%, and 47.1% samples, respectively. Nanopore-based sequencing demonstrated a sensitivity of 50.0%, specificity of 55.6%, positive predictive value of 50.0%, negative predictive value of 55.6%, and overall accuracy of 47.1%, compared to the gold standard method for bacterial culture. In 44.4% (4/9) of culture-negative cases, nanopore-based sequencing detected potentially causative pathogens, whereas four (23.5%) patients were positive only in culture. Using nanopore-based sequencing alongside bacterial culture increased the positivity rate from 47.1 to 70.6%. However, these values may be overestimated due to challenges in distinguishing significant pathogens from background noise. Meanwhile, the bioinformatics module in EPI2ME reduced the turn-around time to 10 min. Nanopore-based metagenomic sequencing is expected to serve as a complementary tool for pathogen detection in CSF samples by facilitating rapid and accurate diagnosis.

Indexed as

BacteriaCerebrospinal FluidMeningitis, BacterialMetagenomicsNanopore SequencingAdultAgedDNA, BacterialFemaleHumansMaleMiddle AgedNanoporesPilot ProjectsRNA, Ribosomal, 16SSensitivity and SpecificityDNA, BacterialRNA, Ribosomal, 16SCerebrospinal fluidMeningitisNanopore sequencingNext-generation sequencingPoint-of-care testing

Identifiers

PMID39875797
PMCPMC11775224

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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.