Abstract: TH-PO0171
Plasma Metabolomic Profiling Identifies Distinct Lipid and Energy-Metabolism Signatures in ADPKD
Session Information
- ADPKD and Cystic Kidney Disease - 1
October 22, 2026 | Location: Exhibit Hall A, Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Genetic Diseases of the Kidneys
- 1201 Genetic Diseases of the Kidneys: Cystic (Monogenic)
Authors
- Almomen, Mohammad, ADPKD National Clinic, Mubarak Al Kabeer Hospital, Ministry of Health, Jabriya, Kuwait
- Ayoub, Medhat N., ADPKD National Clinic, Mubarak Al Kabeer Hospital, Ministry of Health, Jabriya, Kuwait
- Bahbahani, Yousif, ADPKD National Clinic, Mubarak Al Kabeer Hospital, Ministry of Health, Jabriya, Kuwait
- Al Rajab, Heba, ADPKD National Clinic, Mubarak Al Kabeer Hospital, Ministry of Health, Jabriya, Kuwait
- Bahbahani, Hamad Mahdi, ADPKD National Clinic, Mubarak Al Kabeer Hospital, Ministry of Health, Jabriya, Kuwait
- Almutawa, Sarah F A M A, ADPKD National Clinic, Mubarak Al Kabeer Hospital, Ministry of Health, Jabriya, Kuwait
- Almutar, Sara, ADPKD National Clinic, Mubarak Al Kabeer Hospital, Ministry of Health, Jabriya, Kuwait
- Mohammad, Anwar, Dasman Diabetes Institute, Kuwait City, Al Asimah Governate, Kuwait
- Malik, Mohammad Zubbair, Dasman Diabetes Institute, Kuwait City, Al Asimah Governate, Kuwait
- Abubaker, Jehad, Dasman Diabetes Institute, Kuwait City, Al Asimah Governate, Kuwait
- Abu-Farha, Mohamed, ADPKD National Clinic, Mubarak Al Kabeer Hospital, Ministry of Health, Jabriya, Kuwait
- Ali, Hamad, ADPKD National Clinic, Mubarak Al Kabeer Hospital, Ministry of Health, Jabriya, Kuwait
Group or Team Name
- ADPKD National Clinic of Kuwait
Background
Autosomal dominant polycystic kidney disease (ADPKD) is a common inherited kidney disorder characterized by progressive cyst growth, kidney enlargement, and eventual loss of kidney function. Beyond its genetic basis, ADPKD is increasingly recognized as a metabolically active disease, but circulating metabolic signatures associated with ADPKD remain incompletely defined. We performed untargeted plasma metabolomics to identify metabolites that distinguish ADPKD patients from healthy controls.
Methods
Plasma samples from 31 ADPKD patients and 31 healthy controls were analyzed using untargeted gas chromatography–time-of-flight mass spectrometry. Metabolite features were normalized, log2-transformed, Pareto-scaled, and analyzed using principal component analysis, differential abundance testing, metabolite set enrichment analysis, and pathway analysis.
Results
ADPKD patients showed a distinct plasma metabolomic profile compared with healthy controls. Principal component analysis demonstrated clear group separation, with PC1 explaining 31.1% and PC2 explaining 9.9% of total variance. Differential metabolite analysis revealed broad dysregulation of lipid-related metabolites, including acylcarnitines, lysophosphatidylcholines, phosphatidylcholines, sphingomyelins, triglycerides, and diacylglycerols. Enrichment analyses highlighted disruption of glucose metabolism, amino-acid metabolism, fatty-acid and mitochondrial metabolism, phospholipid metabolism, and bile-acid–related pathways. Biological-process enrichment implicated lipid and organic acid transport, mitochondrial function, oxidative metabolism, and inflammatory/metabolic stress pathways. Random Forest analysis identified LPC(14:0), LPC(18:1), SM(40:4), PC(42:7), PC(40:7), PC(40:8), DG-O(36:4), LPC(18:0), PC-O(36:1), TG(53:3), PC(36:6), AC(9:0), AC(16:OH), PC(38:5), and PC-O(40:8) as the top metabolites discriminating ADPKD from controls.
Conclusion
ADPKD is associated with a circulating metabolomic signature dominated by altered lipid handling, mitochondrial energy metabolism, and membrane phospholipid remodeling. These findings support the concept that ADPKD involves systemic metabolic reprogramming beyond structural cystic kidney disease. The identified metabolites may serve as candidate biomarkers for disease stratification and provide mechanistic insight into pathways relevant to ADPKD progression.
Acknowledgment
This work was funded by the KFAS research fund (PR17-13MM-07, to H.A.)