IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-30048-6.html
   My bibliography  Save this article

Metabolic preference assay for rapid diagnosis of bloodstream infections

Author

Listed:
  • Thomas Rydzak

    (University of Calgary)

  • Ryan A. Groves

    (University of Calgary)

  • Ruichuan Zhang

    (University of Calgary)

  • Raied Aburashed

    (University of Calgary)

  • Rajnigandha Pushpker

    (University of Calgary)

  • Maryam Mapar

    (University of Calgary)

  • Ian A. Lewis

    (University of Calgary)

Abstract

Bloodstream infections (BSIs) cause >500,000 infections and >80,000 deaths per year in North America. The length of time between the onset of symptoms and administration of appropriate antimicrobials is directly linked to mortality rates. It currently takes 2–5 days to identify BSI pathogens and measure their susceptibility to antimicrobials – a timeline that directly contributes to preventable deaths. To address this, we demonstrate a rapid metabolic preference assay (MPA) that uses the pattern of metabolic fluxes observed in ex-vivo microbial cultures to identify common pathogens and determine their antimicrobial susceptibility profiles. In a head-to-head race with a leading platform (VITEK 2, BioMérieux) used in diagnostic laboratories, MPA decreases testing timelines from 40 hours to under 20. If put into practice, this assay could reduce septic shock mortality and reduce the use of broad spectrum antibiotics.

Suggested Citation

  • Thomas Rydzak & Ryan A. Groves & Ruichuan Zhang & Raied Aburashed & Rajnigandha Pushpker & Maryam Mapar & Ian A. Lewis, 2022. "Metabolic preference assay for rapid diagnosis of bloodstream infections," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30048-6
    DOI: 10.1038/s41467-022-30048-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-30048-6
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-30048-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kirsty Brown & Carolyn A. Thomson & Soren Wacker & Marija Drikic & Ryan Groves & Vina Fan & Ian A. Lewis & Kathy D. McCoy, 2023. "Microbiota alters the metabolome in an age- and sex- dependent manner in mice," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30048-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.