Metabolomics strategy for diagnosing urinary tract infections
Gregson, D. B.; Wildman, S. D.; Chan, C. C. Y.; Bihan, D. G.; Groves, R. A.; Rydzak, T.; Pittman, K.; Lewis, I. A.
Show abstract
Metabolomics has emerged as a mainstream approach for investigating complex metabolic phenotypes but has yet to be integrated into routine clinical diagnostics. Metabolomics-based diagnosis of urinary tract infections (UTIs) is a logical application of this technology since microbial waste products are concentrated in the bladder and thus could be suitable markers of infection. We conducted an untargeted metabolomics screen of clinical specimens from patients with suspected UTIs and identified two metabolites, agmatine and N6-methyladenine, that are predictive of culture positive samples. We developed a 3.2-minute LC-MS assay to quantify these metabolites and showed that agmatine and N6-methyladenine correctly identify UTIs caused by 13 Enterobacterales species and 3 non-Enterobacterales species, accounting for over 90% of infections (agmatine AUC > 0.95; N6-methyladenine AUC > 0.89). These markers were robust predictors across two blinded cohorts totaling 1,629 patient samples. These findings demonstrate the potential utility of metabolomics in clinical diagnostics for rapidly detecting UTIs.
Matching journals
The top 11 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Spatial top-down proteomics for the functional characterization of human kidney 92%
- Development of a Rapid and Specific MALDI-TOF Mass Spectrometric Assay for SARS-CoV-2 Detection 91%
- A rigorous evaluation of optimal peptide targets for MS-based clinical diagnostics of Coronavirus Disease 2019 (COVID-19) 90%
Similar papers in this journal
Similar papers in this journal
- A Lipidomics-Based Method to Eliminate Negative Urine Culture in General Population 93%
- Quantitative SARS-CoV-2 viral-load curves in paired saliva and nasal swabs inform appropriate respiratory sampling site and analytical test sensitivity required for earliest viral detection 91%
- Optimizing DNA extraction methods for Nanopore sequencing of Neisseria gonorrhoeae direct from urine samples 90%
Similar papers in this journal
- To 200,000 m/z and beyond: native electron capture charge reduction mass spectrometry deconvolves heterogeneous signals in large biopharmaceutical analytes 90%
- Rolosense: Mechanical detection of SARS-CoV-2 using a DNA-based motor 89%
- Extracellular Electron Transfer Enables Cellular Control of Cu(I)-catalyzed Alkyne-Azide Cycloaddition 88%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.