Application of Urinary Metabolomics in Early Disease Detection
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Advances in Metabolomics".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 25
Special Issue Editor
2. Department of Chemistry, Missouri University of Science and Technology, Rolla, MO, USA
Interests: urinary metabolomics; cancer biomarkers; traumatic brain injury biomarkers; LC-MS/MS; analytical method development
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The increasing prevalence of urinary metabolomics as a powerful tool for biomarker discovery could revolutionize early disease detection. Urinary metabolites, which can be noninvasively collected and analyzed, can be seamlessly integrated into existing clinical laboratory workflows. However, the variability of urinary metabolites in response to different internal and external factors complicates their practical use as novel disease biomarkers.
This Special Issue aims to highlight novel applications of urinary metabolomics for early disease detection, including metabolomics profiling, metabolic pathway identification, and disease etiology, in addition to biomarker discovery and validation, such as early disease detection, disease risk stratification, therapeutic response prediction, and therapeutic response monitoring. It also hopes to cover advances in overcoming technical barriers to the field, including the development of advanced analytical techniques, the normalization of urinary metabolite variability, replication across clinical populations, and statistical methods to aid translational and clinical research. This Special Issue seeks reviews, articles, etc., on the latest developments in urinary metabolomics in early disease detection.
Dr. Casey Burton
Guest Editor
Manuscript Submission Information
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Keywords
- urinary metabolomics
- biomarkers
- early disease detection
- analytical method development
- therapeutic response monitoring
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