ArticleNature communications2025
Metabolomics strategy for diagnosing urinary tract infections.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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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.
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Who cites it
19 citing papers in PubMed.
- Development and clinical validation of a CRISPR/Cas9-engineered reporter phage cocktail for rapid detection ofMicrobiology spectrum · 2026Article
- Targeting the human gut microbiome: a comparative review of probiotics, prebiotics, synbiotics, and postbiotics.Journal of advanced research · 2026Review
- Small is big: growing impact of small molecule mass spectrometry in infectious disease drug development.mSphere · 2026Review
- Integrating intestinal microbiome and urinary metabolome data to predict secondary infection in critically ill patients.Critical care (London, England) · 2026Article
- Co-culture metabolomics: a powerful tool for uncovering host-pathogen phenotypes drivingmSystems · 2026Article
- Metabolic interactions between bacterial co-isolates from catheter-associated urinary tract infections.Scientific reports · 2026Article
- ExploringFrontiers in cell and developmental biology · 2026Article
- Enhancing metabolite coverage using dedicated mobile phases for individual polarity modes in HILIC-MS.Analytical and bioanalytical chemistry · 2026Article
- A Comparative Metabolomics Study of Multiple Urological Diseases by Highly Sensitive Dansylation Isotope Labeling LC-MS.International journal of molecular sciences · 2025Article
- Metabolomic profiling ofmSystems · 2025Article
- Metatranscriptomics-based metabolic modeling of patient-specific urinary microbiome during infection.NPJ biofilms and microbiomes · 2025Article
- Temporal metabolomic fingerprinting identifies adenine as a novel biomarker for early detection of Escherichia coli infection in broiler chickens.Scientific reports · 2025Article
- Rapid Multi-Omics for Bacterial Identification Using Flow Injection-Ion Mobility-Mass Spectrometry.Analytical chemistry · 2025Article
- Analysis of the microbial spectrum of urinary tract infections and antibiotic resistance ofFrontiers in microbiology · 2025Article
- Metabolic phenotypes: Molecular bridges between health homeostasis and disease imbalance.Computational and structural biotechnology journal · 2025Review
- The Role of Metabolomics and Microbiology in Urinary Tract Infection.International journal of molecular sciences · 2024Review
- Metabolomics survey of uropathogenic bacteria in human urine.Frontiers in microbiology · 2024Article
- Urinary Biomarkers and Point-of-Care Urinalysis Devices for Early Diagnosis and Management of Disease: A Review.Biomedicines · 2023Review
- Rapid LC-MS assay for targeted metabolite quantification by serial injection into isocratic gradients.Analytical and bioanalytical chemistry · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
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-min 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 1629 patient samples. These findings demonstrate the potential utility of metabolomics in clinical diagnostics for rapidly detecting UTIs.
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