Universal, untargeted detection of bacteria in tissues using metabolomics workflows

Universal, untargeted detection of bacteria in tissues using metabolomics workflows

Abstract Fast and reliable identification of bacteria directly in clinical samples is a critical factor in clinical microbiological diagnostics. Current approaches require time-consuming bacterial isolation and enrichment procedures, delaying stratified treatment. Here, we describe a biomarker-based...

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Bibliographic Details
Main Authors: Wei Chen, Min Qiu, Petra Paizs, Miriam Sadowski, Toma Ramonaite, Lieby Zborovsky, Raquel Mejias-Luque, Klaus-Peter Janßen, James Kinross, Robert D. Goldin, Monica Rebec, Manuel Liebeke, Zoltan Takats, James S. McKenzie, Nicole Strittmatter
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-55457-7
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