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Untargeted metabolomic and lipidomic profiling in a hyperuricemic rabbit model: a pilot study
Junyoung Ahn1, Bo Young Hwang1, Kyo Bin Kang2
1Mass Spectrometry Converging Research Center, Seoul Clinical Laboratories, Yongin-si, 16954, Republic of Korea.
Analytical Biochemistry
|February 5, 2026
Summary
Rising hyperuricemia incidence necessitates new biomarkers. This study identified key metabolites like 4-aminohippuric acid and lipids such as PI(16:0_20:4) as potential progression markers in rabbit models.
Area of Science:
- Biochemistry
- Metabolomics
- Lipidomics
Background:
- Hyperuricemia incidence is increasing globally, yet its molecular mechanisms and reliable progression biomarkers are not well understood.
- Understanding these mechanisms is crucial for developing effective diagnostic and monitoring strategies.
Purpose of the Study:
- To characterize temporal changes in serum metabolites and lipids in hyperuricemic rabbit models.
- To identify reliable candidate biomarkers for hyperuricemia progression using untargeted metabolomic and lipidomic profiling.
Main Methods:
- Utilized untargeted metabolomic and lipidomic profiling with ultra-high performance liquid chromatography coupled with quadrupole time-of-flight-mass/mass spectrometry (UHPLC-QTOF-MS/MS).
- Analyzed serum samples at baseline, 48 h, and 84 h using hydrophilic interaction chromatography (HILIC) and reversed-phase C18 columns.
- Employed orthogonal partial least squares-discriminant analysis (OPLS-DA) for data analysis and biomarker selection.
Main Results:
- Identified significant monotonic increases in 4-aminohippuric acid, L-alanine, and N-isobutyrylglycine, and a decrease in inosine.
- Inosine and 4-aminohippuric acid showed strong correlations with uric acid, emerging as candidate biomarkers.
- Phosphatidylinositols PI(16:0_20:4) and PI(18:1_18:2) were identified as significant lipid changes, with PI(16:0_20:4) strongly correlating with uric acid.
Conclusions:
- The study reveals key metabolomic and lipidomic alterations associated with hyperuricemia progression.
- 4-aminohippuric acid and inosine are proposed as exploratory candidate biomarkers for early detection and monitoring of hyperuricemia.
- Specific phosphatidylinositol species may also serve as valuable lipid biomarkers for hyperuricemia.
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