ArticleScientific reports2016
In-Depth Characterization and Validation of Human Urine Metabolomes Reveal Novel Metabolic Signatures of Lower Urinary Tract Symptoms.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Prostate Transition Zone Fibrosis is Associated with Clinical Progression in the MTOPS Study.The Journal of urology · 2019Trial
- Targeting fibrosis in the treatment of lower urinary tract dysfunction.The Journal of pathology · 2026Article
- Self-organizing maps to aid prognostic and diagnostic biomarker identification in exploratory metabolomics of benign prostatic hyperplasia.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Absolute quantification of amine metabolites in human cerebrospinal fluid via MS1-centric isotopic N,N-dimethyl leucine (iDiLeu) labeling.Analytical and bioanalytical chemistry · 2025Article
- Evaluating sample normalization methods for MS-based multi-omics and the application to a neurodegenerative mouse model.The Analyst · 2025Article
- Multiomics Evaluation of Human iPSCs and iPSC-Derived Neurons.Journal of proteome research · 2024Article
- Recent Advances in Understanding of Alzheimer's Disease Progression through Mass Spectrometry-Based Metabolomics.Phenomics (Cham, Switzerland) · 2022Article
- Clinical Insights into Mitochondrial Neurodevelopmental and Neurodegenerative Disorders: Their Biosignatures from Mass Spectrometry-Based Metabolomics.Metabolites · 2021Review
- A multi-omic investigation of male lower urinary tract symptoms: Potential role for JC virus.PloS one · 2021Article
- Urinary Amine Metabolomics Characterization with Custom 12-Plex Isobaric DiLeu Labeling.Journal of the American Society for Mass Spectrometry · 2020Article
- Spatiotemporal Proteomics Reveals the Molecular Consequences of Hormone Treatment in a Mouse Model of Lower Urinary Tract Dysfunction.Journal of proteome research · 2020Article
- Metandem: An online software tool for mass spectrometry-based isobaric labeling metabolomics.Analytica chimica acta · 2019Article
- Targeting a fibrotic bottleneck may provide an opening in the treatment of LUTS.American journal of physiology. Renal physiology · 2019Article
- Quantitative proteomic analysis of a genetically induced prostate inflammation mouse model via custom 4-plex DiLeu isobaric labeling.American journal of physiology. Renal physiology · 2019Article
- Urinary Metabolomic and Proteomic Analyses in a Mouse Model of Prostatic Inflammation.Urine (Amsterdam, Netherlands) · 2019Article
- Article
- Personalized medicine-concepts, technologies, and applications in inflammatory skin diseases.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2019Review
- Uropathogenic Escherichia coli-induced fibrosis, leading to lower urinary tract symptoms, is associated with type 2 cytokine signaling.American journal of physiology. Renal physiology · 2019Article
- Comprehensive urinary metabolomic characterization of a genetically induced mouse model of prostatic inflammation.International journal of mass spectrometry · 2018Article
- Comparative Evaluation of MS-based Metabolomics Software and Its Application to Preclinical Alzheimer's Disease.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Lower urinary tract symptoms (LUTS) are a range of irritative or obstructive symptoms that commonly afflict aging population. The diagnosis is mostly based on patient-reported symptoms, and current medication often fails to completely eliminate these symptoms. There is a pressing need for objective non-invasive approaches to measure symptoms and understand disease mechanisms. We developed an in-depth workflow combining urine metabolomics analysis and machine learning bioinformatics to characterize metabolic alterations and support objective diagnosis of LUTS. Machine learning feature selection and statistical tests were combined to identify candidate biomarkers, which were statistically validated with leave-one-patient-out cross-validation and absolutely quantified by selected reaction monitoring assay. Receiver operating characteristic analysis showed highly-accurate prediction power of candidate biomarkers to stratify patients into disease or non-diseased categories. The key metabolites and pathways may be possibly correlated with smooth muscle tone changes, increased collagen content, and inflammation, which have been identified as potential contributors to urinary dysfunction in humans and rodents. Periurethral tissue staining revealed a significant increase in collagen content and tissue stiffness in men with LUTS. Together, our study provides the first characterization and validation of LUTS urinary metabolites and pathways to support the future development of a urine-based diagnostic test for LUTS.
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