Evidence map›Paper›PMID 40115075›Full record

ArticleFrontiers in cellular and infection microbiology2025

Standardization of 16S rRNA gene sequencing using nanopore long read sequencing technology for clinical diagnosis of culture negative infections.

Ian Butler, Olivia Turner, Kulsoom Mohammed, Mazeda Akhtar, Daniel Evans, Jonathan Lambourne, Kathryn Harris, Denise M O'Sullivan, Chrysi Sergaki

Erratum issuedAbstract 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. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  7. Revisiting multi-region 16S sequencing in gastric cancer.World journal of gastrointestinal oncology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Ian ButlerDepartment of Microbiology, National Health Services (NHS) East and South East London Pathology Partnership, Bart's Health NHS Trust, London, United Kingdom.
Olivia TurnerDepartment of Microbiology, National Health Services (NHS) East and South East London Pathology Partnership, Bart's Health NHS Trust, London, United Kingdom.
Kulsoom MohammedDepartment of Microbiology, National Health Services (NHS) East and South East London Pathology Partnership, Bart's Health NHS Trust, London, United Kingdom.
Mazeda AkhtarDepartment of Microbiology, National Health Services (NHS) East and South East London Pathology Partnership, Bart's Health NHS Trust, London, United Kingdom.
Daniel EvansMolecular and Cell Biology, National Measurement Laboratory (NML), Laboratory of the Government Chemist (LGC), London, United Kingdom.
Jonathan LambourneDepartment of Microbiology, National Health Services (NHS) East and South East London Pathology Partnership, Bart's Health NHS Trust, London, United Kingdom.
Kathryn HarrisDepartment of Microbiology, National Health Services (NHS) East and South East London Pathology Partnership, Bart's Health NHS Trust, London, United Kingdom.
Denise M O'SullivanMolecular and Cell Biology, National Measurement Laboratory (NML), Laboratory of the Government Chemist (LGC), London, United Kingdom.
Chrysi SergakiMedicines and Healthcare Products Regulatory Agency (MHRA), London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of long-read sequencing technology, such as nanopore sequencing technology [Oxford Nanopore Technologies (ONT)], into routine diagnostic laboratories has the potential to transform bacterial infection diagnostics and improve patient management. Analysis of amplicons from long-read sequencing of the 16S rRNA gene generates a comprehensive view of the microbial community within clinical samples, significantly enhancing sensitivity and capacity to analyse mixed bacterial populations compared to short read sequencing approaches. This study evaluates various ONT sequencing approaches and library preparation kits to establish a reliable testing and quality framework for clinical implementation. This study highlights the critical importance of using well-characterized reference materials in validating and revalidating long-read sequencing methods, leveraging a combination of standardized reference materials and clinical samples to navigate the evolving landscape of microbial diagnostics. It presents a robust validation framework for laboratory accreditation and outlines a methodology for comparing the performance of newer ONT chemistries with earlier versions. Additionally, the study details the methods and quality control measures necessary for achieving more accurate and efficient diagnoses of bacterial infections, ultimately reducing time to treatment and enhancing patient outcomes.

Indexed as

BacteriaBacterial InfectionsHigh-Throughput Nucleotide SequencingMolecular Diagnostic TechniquesNanopore SequencingRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialHumansReference StandardsDNA, BacterialRNA, Ribosomal, 16S16S rRNAculture negativelong read sequencingOxford nanoporestandardization

Identifiers

PMID40115075
PMCPMC11922894

What OpenQuestion 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 OpenQuestion graph.