Work

Metabolomics-driven prediction of antibiotic resistance: a perspective on pre-genetic intervention

Year: 2025

Type: review

Abstract: Antibiotic resistance is surging, demanding approaches that detect resistance before genetic fixation, since MIC, sequencing, and culture assays detect resistance late. We present Metabolomics-Driven Intervention Antibiotic Design (MDAD), which stages resistance evolution from metabolic compensation to sub-lethal adaptation to genetic fixation. A brief pulse challenge with a targeted metabolomics panel yields a pre-genetic risk index, interpreted with time-kill assays to situate early survival behaviours and guide mechanism-aware treatment and surveillance.

Source: npj Antimicrobials and Resistance

DOI: 10.1038/s44259-025-00168-2

Authors: Maytham Hussein, Darren J. Creek, Mark Baker, Gauri G. Rao, Jian Li, Tony Velkov

Institutions: Monash University, University of Newcastle Australia, University of Southern California

Language: English

Topic: Antibiotic Resistance in Bacteria

Subfield: Molecular Medicine

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,190