Evidence map›Paper›PMID 39235749›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Identifying Putative Biomarkers of Foodborne Pathogens Using a Metabolomic Approach.

Snehal R Jadhav, Rohan M Shah, Avinash V Karpe, David J Beale, Konstantinos A Kouremenos, Enzo A Palombo

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Snehal R JadhavConsumer Analytical Safety Sensory (CASS) Food Research Centre, School of Exercise and Nutrition Sciences, Deakin University, Melbourne, VIC, Australia. snehal.jadhav@deakin.edu.au.
Rohan M ShahDepartment of Chemistry and Biotechnology, Swinburne University of Technology, Melbourne, VIC, Australia.
Avinash V KarpeDepartment of Chemistry and Biotechnology, Swinburne University of Technology, Melbourne, VIC, Australia.
David J BealeEnvironment, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD, Australia.
Konstantinos A KouremenosTrajan Scientific and Medical, Ringwood, VIC, Australia.
Enzo A PalomboDepartment of Chemistry and Biotechnology, Swinburne University of Technology, Melbourne, VIC, Australia. epalombo@swin.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics is the study of low molecular weight biochemical molecules (typically <1500 Da) in a defined biological organism or system. In case of food systems, the term "food metabolomics" is often used. Food metabolomics has been widely explored and applied in various fields including food analysis, food intake, food traceability, and food safety. Food safety applications focusing on the identification of pathogen-specific biomarkers have been promising. This chapter describes a nontargeted metabolite profiling workflow using gas chromatography coupled with mass spectrometry (GC-MS) for characterizing three globally important foodborne pathogens, Escherichia coli O157:H7, Listeria monocytogenes, and Salmonella enterica, from selective enrichment liquid culture media. The workflow involves a detailed description of food spiking experiments followed by procedures for the extraction of polar metabolites from media, the analysis of the extracts using GC-MS, and finally chemometric data analysis using univariate and multivariate statistical tools to identify potential pathogen-specific biomarkers.

Indexed as

BiomarkersFood MicrobiologyGas Chromatography-Mass SpectrometryListeria monocytogenesMetabolomicsEscherichia coli O157Foodborne DiseasesMetabolomeSalmonella entericaBiomarkersFoodborne pathogensFood safetyGas chromatography-mass spectrometry (GC-MS)MetaboAnalystMetabolomic profilingPartial least square-discriminant analysis (PLS-DA)Principal component analysis (PCA)Receiver operating characteristic area under the curve (ROC-AUC) analysisSignificant analysis of metabolomics (SAM) plotsSIMCA

Identifiers

PMID39235749

What OpenQuestion holds

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Registered trials

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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.