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Urinary Amine Metabolomics Characterization with Custom 12-Plex Isobaric DiLeu Labeling
Pingli Wei1, Ling Hao2, Samuel Thomas3
1Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Lower urinary tract symptoms (LUTS) in aging males may be linked to hormone changes. This study identified potential urine biomarkers, proline and citrulline, for objective LUTS diagnosis and personalized medicine.
Area of Science:
- Metabolomics
- Urology
- Biomarker Discovery
Background:
- Lower urinary tract symptoms (LUTS) are prevalent in aging males, with unknown causes and subjective diagnostics.
- Current LUTS treatments are often ineffective and burdensome, highlighting the need for objective criteria.
- Biomarker discovery is crucial for personalized medicine and identifying new therapeutic targets in LUTS.
Purpose of the Study:
- To identify urine metabolite markers specific to hormone-induced bladder outlet obstruction.
- To investigate the temporal changes in the metabolome during the development of LUTS in a mouse model.
- To establish an efficient workflow for amine-containing metabolomics in biological specimens.
Main Methods:
- Utilized a mouse model of LUTS induced by steroid hormone treatment.
- Collected urine samples at baseline and after 2, 4, and 8 weeks of treatment.
- Applied 12-plex DiLeu isobaric labeling and nanoflow ultrahigh-performance liquid chromatography-tandem mass spectrometry for metabolite quantification.
- Employed Metandem software for data processing and metabolite identification.
Main Results:
- Quantified 59 amine-containing metabolites, with 9 significantly altered by hormone treatment.
- Identified dysregulation in three metabolic pathways, notably arginine and proline metabolism.
- Observed significant changes in proline and citrulline in both the mouse model and human LUTS patient samples.
Conclusions:
- Proline and citrulline are promising candidate biomarkers for hormone-induced LUTS.
- The 12-plex DiLeu labeling workflow combined with Metandem is an effective method for amine metabolomics.
- Objective biomarkers could advance personalized medicine and treatment strategies for LUTS.
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