Evidence map›Paper›PMID 38972920›Full record

ArticleCommunications medicine2024

Unified metagenomic method for rapid detection of microorganisms in clinical samples.

Adela Alcolea-Medina, Christopher Alder, Luke B Snell, Themoula Charalampous, Alp Aydin, Gaia Nebbia, Tom Williams, Simon Goldenberg, Sam Douthwaite, Rahul Batra and 5 more

Erratum issuedAbstract read
In one paragraph

Article in Communications medicine, 2024. 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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Clinical metagenomics: a call to action.Intensive care medicine · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Adela Alcolea-MedinaInfection Sciences, Synnovis, London, UK. adela.medina@nhs.net.ORCID http://orcid.org/0000-0002-3145-0376
Christopher Alder *Center for Clinical Infection and Diagnostics Research, Guys' and St. Thomas' NHS Foundation Trust, London, UK.
Luke B Snell *Center for Clinical Infection and Diagnostics Research, Guys' and St. Thomas' NHS Foundation Trust, London, UK.
Themoula Charalampous *Department of Infectious Diseases, King's College London, London, UK.
Alp AydinQuadram Institute Bioscience, Norwich, UK.
Gaia NebbiaDepartment of Infectious Diseases, Guys' and St Thomas' NHS Foundation Trust, London, UK.ORCID http://orcid.org/0000-0002-7524-1947
Tom WilliamsDepartment of Infectious Diseases, Guys' and St Thomas' NHS Foundation Trust, London, UK.
Simon GoldenbergDepartment of Infectious Diseases, Guys' and St Thomas' NHS Foundation Trust, London, UK.
Sam DouthwaiteDepartment of Infectious Diseases, Guys' and St Thomas' NHS Foundation Trust, London, UK.
Rahul BatraCenter for Clinical Infection and Diagnostics Research, Guys' and St. Thomas' NHS Foundation Trust, London, UK.
Penelope R CliffInfection Sciences, Synnovis, London, UK.ORCID http://orcid.org/0000-0001-6558-6039
Hannah MischoDepartment of Infectious Diseases, King's College London, London, UK.ORCID http://orcid.org/0000-0002-1884-2578
Stuart NeilDepartment of Infectious Diseases, King's College London, London, UK.ORCID http://orcid.org/0000-0003-3306-5831
Mark WilksQueen Mary, University of London, London, UK.
Jonathan D EdgeworthCenter for Clinical Infection and Diagnostics Research, Guys' and St. Thomas' NHS Foundation Trust, London, UK.

Funding

Medical Research Council MR/T005416/1Medical Research Council MR/W025140/1
6 · The paper itself

Abstract

backgroundClinical metagenomics involves the genomic sequencing of all microorganisms in clinical samples ideally after depletion of human DNA to increase sensitivity and reduce turnaround times. Current human DNA depletion methods preferentially preserve either DNA or RNA containing microbes, but not both simultaneously. Here we describe and present data using a practical and rapid mechanical host-depletion method allowing simultaneous detection of RNA and DNA microorganisms linked with nanopore sequencing.

methodsThe human cells from respiratory samples are lysed mechanically using 1.4 mm zirconium-silicate spheres and the human DNA is depleted using a nonspecific endonuclease. The RNA is converted to dsDNA to allow the simultaneous sequencing of DNA and RNA.

resultsThe method decreases human DNA concentration by a median of eight Ct values while detecting a broad range of RNA & DNA viruses, bacteria, including atypical pathogens (Legionella, Chlamydia, Mycoplasma) and fungi (Candida, Pneumocystis, Aspergillus). The first automated reports are generated after 30 min sequencing from a 7 h end-to-end workflow. Sensitivity and specificity for bacterial detection are 90% and 100%, respectively, and viral detection are 92% and 100% after 2 h of sequencing. Prospective validation on 33 consecutive lower respiratory tract samples from ventilated patients with suspected pneumonia shows 60% concordance with routine testing, detection of additional pathogens in 21% of samples and pathogen genomic assembly achieve for 42% of viruses and 33% of bacteria.

conclusionsAlthough further workflow refinement and validation on samples containing a broader range of pathogens is required, it holds promise as a clinically deployable workflow suitable for evaluation in routine microbiology laboratories.

Identifiers

PMID38972920
PMCPMC11228040

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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.