Metabolic preference assay for rapid diagnosis of bloodstream infections

Thomas Rydzak; Ryan A. Groves; Ruichuan Zhang; Raied Aburashed; Rajnigandha Pushpker; Maryam Mapar; Ian A. Lewis

doi:10.1038/s41467-022-30048-6

Nature Communications (Apr 2022)

Metabolic preference assay for rapid diagnosis of bloodstream infections

Thomas Rydzak,
Ryan A. Groves,
Ruichuan Zhang,
Raied Aburashed,
Rajnigandha Pushpker,
Maryam Mapar,
Ian A. Lewis

Affiliations

Thomas Rydzak: Department of Biological Science, University of Calgary
Ryan A. Groves: Department of Biological Science, University of Calgary
Ruichuan Zhang: Department of Biological Science, University of Calgary
Raied Aburashed: Biomedical Engineering, University of Calgary
Rajnigandha Pushpker: Department of Biological Science, University of Calgary
Maryam Mapar: Department of Biological Science, University of Calgary
Ian A. Lewis: Department of Biological Science, University of Calgary

DOI: https://doi.org/10.1038/s41467-022-30048-6
Journal volume & issue: Vol. 13, no. 1
pp. 1 – 12

Abstract

Read online

It is currently slow to identify bloodstream infection pathogens. Here the authors report a rapid metabolic preference assay that uses the pattern of metabolic fluxes observed in ex-vivo microbial cultures to identify common pathogens and determine their antimicrobial susceptibility profiles.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

About the journal