Evidence map›Paper›PMID 41402626›Full record

Reviewnpj antimicrobials and resistance2025

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

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

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in npj antimicrobials and resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Frontiers in pharmacology · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Maytham HusseinMonash Biomedicine Discovery Institute, Department of Pharmacology, Monash University, Clayton, VIC, Australia. maytham.hussein.old@monash.edu.
Darren J CreekMonash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC, Australia.
Mark BakerDiscipline of Biological Sciences, Priority Research Centre in Reproductive Biology, Faculty of Science and IT, University of Newcastle, University Drive, Callaghan, NSW, Australia.
Gauri G RaoTitus Family Department of Clinical Practice, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA.
Jian LiMonash Biomedicine Discovery Institute, Department of Microbiology, Monash University, Clayton, VIC, Australia.
Tony VelkovMonash Biomedicine Discovery Institute, Department of Pharmacology, Monash University, Clayton, VIC, Australia. tony.velkov@monash.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID41402626
PMCPMC12708675

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.