MultiSeq-AMR: a modular amplicon-sequencing workflow for rapid detection of bloodstream infection and antimicrobial resistance markers

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Abstract

Bloodstream infections (BSIs) represent a significant global health challenge, and traditional diagnostic methods are suboptimal for timely guiding targeted antibiotic therapy. We introduce MultiSeq-AMR, a rapid and modular nanopore amplicon-sequencing workflow to identify bacterial and fungal species and a comprehensive set of antimicrobial resistance (AMR) genes ( n =91) from various types of infection sources. We initially benchmarked MultiSeq-AMR using DNA from 16 bacterial and 5 fungal reference strains and accurately identified all species. AMR gene identification exhibited 99.4% categorical agreement (CA: 153/154 prediction) with whole-genome sequencing. Further validation with 33 BACT/ALERT positive samples from suspected BSI cases revealed 100% accuracy for genus and 96.7% for species identification, with 97.4% CA (151/155) for AMR gene prediction. To accelerate microbiological diagnosis, a 6 h culture enrichment step was tested with MultiSeq-AMR using 15 clinically important bacterial species. Of 13 species selected for sequencing, 11 were correctly identified, with 96% CA (59/61 predictions) for AMR gene identification. With only 2 Mbp yield, sequencing identified 93.7% of species and 89.8% AMR genes initially detected with 20–50 Mbp yield/sample. MultiSeq-AMR holds promise for BSI diagnosis, as species/AMR genes could be identified under 5 h of BACT/ALERT positivity and potentially <11 h of sample collection (rapid-enrichment) for a large set of bacterial species. MultiSeq-AMR gene targets can be modified/increased indefinitely to suit user needs. Further research is required to clinically validate MultiSeq-AMR, especially the rapid enrichment method, to assess its utility in a medical setup and in improving patient outcomes in BSI.

Article activity feed

  1. Ariya Chindamporn, Nutapong Lengsiri

    Review 6: "MultiSeq-AMR: A Modular Amplicon-Sequencing Workflow for Rapid Detection of Bloodstream Infection and Antimicrobial Resistance Markers"

    Reviewers acknowledge the potential of MultiSeq-AMR for rapid diagnosis but highlight limitations, including small sample sizes, insufficient validation of all AMR primer pools, concerns about primer specificity and false positives and its clinical relevance.

  2. Steven Foley

    Review 5: "MultiSeq-AMR: A Modular Amplicon-Sequencing Workflow for Rapid Detection of Bloodstream Infection and Antimicrobial Resistance Markers"

    Reviewers acknowledge the potential of MultiSeq-AMR for rapid diagnosis but highlight limitations, including small sample sizes, insufficient validation of all AMR primer pools, concerns about primer specificity and false positives and its clinical relevance.

  3. Yu Xia

    Review 4: "MultiSeq-AMR: A Modular Amplicon-Sequencing Workflow for Rapid Detection of Bloodstream Infection and Antimicrobial Resistance Markers"

    Reviewers acknowledge the potential of MultiSeq-AMR for rapid diagnosis but highlight limitations, including small sample sizes, insufficient validation of all AMR primer pools, concerns about primer specificity and false positives and its clinical relevance.

  4. Mato Lagator

    Review 3: "MultiSeq-AMR: A Modular Amplicon-Sequencing Workflow for Rapid Detection of Bloodstream Infection and Antimicrobial Resistance Markers"

    Reviewers acknowledge the potential of MultiSeq-AMR for rapid diagnosis but highlight limitations, including small sample sizes, insufficient validation of all AMR primer pools, concerns about primer specificity and false positives and its clinical relevance.

  5. Timothy Read

    Review 2: "MultiSeq-AMR: A Modular Amplicon-Sequencing Workflow for Rapid Detection of Bloodstream Infection and Antimicrobial Resistance Markers"

    Reviewers acknowledge the potential of MultiSeq-AMR for rapid diagnosis but highlight limitations, including small sample sizes, insufficient validation of all AMR primer pools, concerns about primer specificity and false positives and its clinical relevance.

  6. Yu-Chieh Liao

    Review 1: "MultiSeq-AMR: A Modular Amplicon-Sequencing Workflow for Rapid Detection of Bloodstream Infection and Antimicrobial Resistance Markers"

    Reviewers acknowledge the potential of MultiSeq-AMR for rapid diagnosis but highlight limitations, including small sample sizes, insufficient validation of all AMR primer pools, concerns about primer specificity and false positives and its clinical relevance.

  7. Strength of evidence

    Reviewers: Y Liao (National Health Research Institutes)|📒📒📒 ◻️◻️
    T Read (Emory University)|📗📗📗📗◻️
    M Lagator (The University of Manchester)|📗📗📗📗◻️
    Y Xia (SUSTech) |📘📘📘📘📘
    S Foley (FDA)|📗📗📗📗◻️
    A Chindamporn & N Lengsiri (Chulalongkorn University)|📙📙 ◻️◻️◻️