Evidence map›Paper›PMID 40022097›Full record

ArticleBMC urology2025

A highly accurate nanopore-based sequencing workflow for culture and PCR-free microbial metagenomic profiling of urogenital samples.

Ben Ferneyhough, Matthew Roddis, Sam Millington, Jess Quirk, Chrysolin Clements, Sean West, Rosalind Schilizzi, Michael D Fischer, Nick J Parkinson

Abstract read
In one paragraph

Article in BMC urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

9 authors.

Ben Ferneyhough *Systems Biology Laboratory UK, Abingdon, Oxfordshire, OX14 4SA, UK.
Matthew Roddis *Systems Biology Laboratory UK, Abingdon, Oxfordshire, OX14 4SA, UK.
Sam Millington *Systems Biology Laboratory UK, Abingdon, Oxfordshire, OX14 4SA, UK.
Jess QuirkSystems Biology Laboratory UK, Abingdon, Oxfordshire, OX14 4SA, UK.
Chrysolin ClementsSystems Biology Laboratory UK, Abingdon, Oxfordshire, OX14 4SA, UK.
Sean WestSystems Biology Laboratory UK, Abingdon, Oxfordshire, OX14 4SA, UK.
Rosalind SchilizziSystems Biology Laboratory UK, Abingdon, Oxfordshire, OX14 4SA, UK.
Michael D FischerSystems Biology Laboratory UK, Abingdon, Oxfordshire, OX14 4SA, UK.
Nick J ParkinsonSystems Biology Laboratory UK, Abingdon, Oxfordshire, OX14 4SA, UK. nickp@sbl-uk.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe application of molecular sequencing methods for microbiome profiling of biological samples are largely restricted to research use. However, they require significant resources such as time and cost and can suffer from amplification biases that may hamper interpretation of complex systems. These issues are also a barrier to adoption as standard clinical tools in, for example, diagnosis of urogenital infections. We report a new method that utilises third generation long-read nanopore sequencing to produce fast, accurate and fully quantitated metagenomic microbiome profiles. Here, as proof of principle, we apply this methodology to reassess the healthy urogenital microbiomes of asymptomatic female and male samples.

resultsWe show that our method is capable of accurately and reproducibly detecting both levels and composition of a synthetic mixture of ten species comprising known amounts of hard to lyse gram-positive bacteria, gram-negative bacteria and yeast. When applied to urogenital samples, we confirm previous observations that the female asymptomatic vaginal and urinary microbiomes are predominated by Gardnerella spp. or one of several Lactobacillus species (L. crispatus, L. gasseri, L. iners or L. jensenii) that conform to previously defined community state types. We show the tight relationship between vaginal and urinary populations of the same individual at both species and strain level, provide evidence for the previously observed dynamic nature of these microbiomes over a menstrual cycle and compare biomass and complexity of male and female urobiomes.

conclusionsWe set out to develop an unbiased, amplification and culture-free, fully quantitative metagenomic microbiome profiling tool. Our initial observations suggest our method represents a viable alternative to existing molecular research tools employed in the analysis of complex microbiomes.

Indexed as

MetagenomicsMicrobiotaNanopore SequencingUrogenital SystemVaginaFemaleHumansMaleWorkflow3rd Generation Nanopore SequencingAsymptomaticMicrobiome profilingUrotypes

Identifiers

PMID40022097
PMCPMC11869423

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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.