Evidence map›Paper›PMID 41327286›Full record

ArticleBMC medical genomics2025

Limited value of Nanopore adaptive sampling in a long-read metagenomic profiling workflow of clinical sputum samples.

Weizhen Xu, Janetta Top, Mattheus C Viveen, Andrii Slyzkyi, Noud Hermans, Sarah van Erp, Dafna Eiloz, Richard Anthony, Kristin Kremer, Anita C Schürch

Abstract read
In one paragraph

Article in BMC medical genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Weizhen Xu *Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, the Netherlands.
Janetta Top *Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, the Netherlands. j.top@umcutrecht.nl.
Mattheus C ViveenDepartment of Medical Microbiology, University Medical Center Utrecht, Utrecht, the Netherlands.
Andrii SlyzkyiDiagnostics Team, Division of TB Elimination & Health Systems Innovations, KNCV Tuberculosis Foundation, The Hague, the Netherlands.
Noud HermansDiagnostics Team, Division of TB Elimination & Health Systems Innovations, KNCV Tuberculosis Foundation, The Hague, the Netherlands.
Sarah van ErpMozand B.V, Eindhoven, the Netherlands.
Dafna EilozMozand B.V, Eindhoven, the Netherlands.
Richard AnthonyDepartment Bacterial Surveillance and Response, Center for Infectious Disease Control, Diagnostics and Laboratory Surveillance, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
Kristin KremerDiagnostics Team, Division of TB Elimination & Health Systems Innovations, KNCV Tuberculosis Foundation, The Hague, the Netherlands.
Anita C SchürchDepartment of Medical Microbiology, University Medical Center Utrecht, Utrecht, the Netherlands.

Funding

Health~Holland LSHM22031
6 · The paper itself

Abstract

backgroundOxford Nanopore adaptive sampling (NAS) is a method by which the long-read sequencing flowcell accepts or rejects DNA molecules that are actively being sequenced based on their initial ~ 500 bp sequences, selectively increasing target data output. NAS promises up to 5-10 × enrichment of target sequencing yield without additional sample preparation, but this optimal performance is dependent on ideal sample parameters which may be difficult to achieve under many real-world use-cases. We evaluated the use of NAS for profiling clinical sputum metagenomes.

methodsWe sequenced DNA extracted from clinical sputa and spike-in controls of a mock community of bacterial respiratory pathogens, using the current R10.4.1 MinION flowcell chemistry.

resultsWe achieved at best 3.1 × enrichment of bacterial sequence output with NAS due to the shorter read lengths (~ 2.5 kb) from the PCR amplification necessary to compensate for low DNA extraction yields. More critically, we encountered rapid pore loss during our runs that reduced total sequencing yield by an estimated 80%. We were unable to mitigate the pore loss despite extensive attempts to reduce contaminant carry-over, and we could not determine its cause but ruled out NAS and pore underloading as contributing factors.

conclusionsWe conclude that the utility of NAS is often limited by the characteristics of the metagenomic sample studied, and that the factors contributing to pore loss need to be resolved before ONT sequencing can be reliably applied to long-read metagenomics.

Indexed as

MetagenomeMetagenomicsNanoporesNanopore SequencingSputumHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNAWorkflowLong-read sequencingMetagenomicsPathogen surveillance

Identifiers

PMID41327286
PMCPMC12797978

What Socratic holds

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LicenceCC BY-NC-ND
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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.