Evidence map›Paper›PMID 42294714›Full record

ArticleMicrobiology spectrum2026

Rapid and modular workflows for same-day sequencing-based detection of bloodstream infections and antimicrobial resistance determinants using culture-enriched samples.

Mohammad Saiful Islam Sajib, Katarina Oravcova, Kirstyn Brunker, Paul Everest, Manuel Fuentes, Catherine Wilson, Michael E Murphy, Taya Forde

Abstract read
In one paragraph

Article in Microbiology spectrum, 2026. 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. Article
  2. Article
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

8 authors.

Mohammad Saiful Islam SajibSchool of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0002-3962-9805
Katarina Oravcova *School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0001-5930-6803
Kirstyn Brunker *School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0001-9990-6299
Paul EverestSchool of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0001-6727-8048
Manuel FuentesSchool of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0001-9253-316X
Catherine WilsonDepartment of Microbiology, NHS Greater Glasgow and Clyde, Glasgow Royal Infirmary, Glasgow, United Kingdom.
Michael E MurphyDepartment of Microbiology, NHS Greater Glasgow and Clyde, Glasgow Royal Infirmary, Glasgow, United Kingdom.
Taya FordeSchool of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, United Kingdom.

Funding

Royal Society RGS\R1\211163University of Glasgow Lord Kelvin Adam Smith (LKAS) Ph.D. studentship
6 · The paper itself

Abstract

Bloodstream infections (BSI) are a major global health concern, and existing diagnostic methods are too slow to guide targeted antibiotic therapy for critically ill patients. Rapid metagenomic next-generation sequencing (mNGS) can facilitate swift microbiological diagnosis, but identification is challenged by significant host versus bacterial DNA in blood and blood culture media. To accelerate reporting time, we developed M-15, a rapid mNGS-based host DNA depletion workflow optimized for culture-enriched samples, validated with suspected BSI blood culture samples and rapid culture-enriched spiked blood. M-15 was benchmarked with five commercial/published protocols, combined with rapid mNGS, and tested on blood culture samples ( IMPORTANCE: Bloodstream infections (BSI) are among the leading global health challenges, and traditional culture-based diagnostic methods are too slow (often taking >48 hours) to guide critical clinical interventions. This study demonstrates the development and utility of M-15 metagenomic next-generation sequencing (mNGS), a modular Oxford Nanopore-based chemical host DNA depletion and metagenomic sequencing workflow applied to enriched blood culture media for the same-day detection of bacterial etiologies and their antimicrobial resistance (AMR) genes. The selective chemical host DNA depletion method (M-15) described in this study can remove approximately 4.1 × 10

Indexed as

BacteremiaBacteriaDrug Resistance, BacterialHigh-Throughput Nucleotide SequencingSepsisAnimalsAnti-Bacterial AgentsBlood CultureDNA, BacterialHumansMetagenomicsWorkflowAnti-Bacterial AgentsDNA, Bacterialadaptive samplingantimicrobial resistancebloodstream infectionchemical host depletionmetagenomic next-generation sequencingOxford Nanopore Technologiesrapid diagnosisselective host depletionselective sequencing

Identifiers

PMID42294714
PMCPMC13339894

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LicenceCC BY
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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.