Evidence map›Paper›PMID 38443925›Full record

ArticleBMC medical genomics2024

Development and proof-of-concept demonstration of a clinical metagenomics method for the rapid detection of bloodstream infection.

Lluis Moragues-Solanas, Thanh Le-Viet, Elinor McSorley, Carl Halford, Daniel S Lockhart, Alp Aydin, Gemma L Kay, Ngozi Elumogo, William Mullen, Justin O'Grady and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
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

13 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
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  7. Metagenomic next-generation sequencing: new horizons in microbiology.Frontiers in cellular and infection microbiology · 2026
    Review
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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

11 authors at 4 institutions in 1 country.

Lluis Moragues-SolanasQuadram Institute Bioscience, Norwich Research Park, Rosalind Franklin Road, Norwich, Norfolk, NR4 7UQ, UK.
Thanh Le-VietQuadram Institute Bioscience, Norwich Research Park, Rosalind Franklin Road, Norwich, Norfolk, NR4 7UQ, UK.
Elinor McSorleyMomentum Bioscience Ltd, Blenheim Office Park, Witney, Oxfordshire, UK.
Carl HalfordUniversity of East Anglia, Norwich, Norfolk, UK.
Daniel S LockhartMomentum Bioscience Ltd, Blenheim Office Park, Witney, Oxfordshire, UK.
Alp AydinQuadram Institute Bioscience, Norwich Research Park, Rosalind Franklin Road, Norwich, Norfolk, NR4 7UQ, UK.
Gemma L KayQuadram Institute Bioscience, Norwich Research Park, Rosalind Franklin Road, Norwich, Norfolk, NR4 7UQ, UK.
Ngozi ElumogoQuadram Institute Bioscience, Norwich Research Park, Rosalind Franklin Road, Norwich, Norfolk, NR4 7UQ, UK.
William MullenMomentum Bioscience Ltd, Blenheim Office Park, Witney, Oxfordshire, UK.
Justin O'GradyUniversity of East Anglia, Norwich, Norfolk, UK.
Matthew W GilmourQuadram Institute Bioscience, Norwich Research Park, Rosalind Franklin Road, Norwich, Norfolk, NR4 7UQ, UK. matthew.gilmour@quadram.ac.uk.
Quadram Institute · GBMomentum (United Kingdom) · GBUniversity of East Anglia · GBNorwich Research Park · GB

Funding

Biotechnology and Biological Sciences Research Council BB/CCG1860/1Biotechnology and Biological Sciences Research Council BB/R012504/1Biotechnology and Biological Sciences Research Council BB/X011011/1Medical Research Council MR/R015937/1
6 · The paper itself

Abstract

backgroundThe timely and accurate diagnosis of bloodstream infection (BSI) is critical for patient management. With longstanding challenges for routine blood culture, metagenomics is a promising approach to rapidly provide sequence-based detection and characterisation of bloodborne bacteria. Long-read sequencing technologies have successfully supported the use of clinical metagenomics for syndromes such as respiratory illness, and modified approaches may address two requisite factors for metagenomics to be used as a BSI diagnostic: depletion of the high level of host DNA to then detect the low abundance of microbes in blood.

methodsBlood samples from healthy donors were spiked with different concentrations of four prevalent causative species of BSI. All samples were then subjected to a modified saponin-based host DNA depletion protocol and optimised DNA extraction, whole genome amplification and debranching steps in preparation for sequencing, followed by bioinformatical analyses. Two related variants of the protocol are presented: 1mL of blood processed without bacterial enrichment, and 5mL of blood processed following a rapid bacterial enrichment protocol-SepsiPURE.

resultsAfter first identifying that a large proportion of host mitochondrial DNA remained, the host depletion process was optimised by increasing saponin concentration to 3% and scaling the reaction to allow more sample volume. Compared to non-depleted controls, the 3% saponin-based depletion protocol reduced the presence of host chromosomal and mitochondrial DNA < 10

conclusionIn this proof-of-concept study, four prevalent BSI causative species were detected in under 12 h to species level (with antimicrobial resistance determinants) at concentrations relevant to clinical blood samples. The use of a rapid and precise metagenomic protocols has the potential to advance the diagnosis of BSI.

Indexed as

SaponinsSepsisDNA, MitochondrialHumansMetagenomicsMitochondriaDNA, MitochondrialSaponinsBacteraemiaBacterial infectionClinical diagnosticsLong-read sequencingMetagenomicsSepsis

Identifiers

PMID38443925
PMCPMC10916079
OpenAlexW4392472525

What OpenQuestion holds

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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 OpenQuestion graph.