Metabolomics of nephrotic syndrome.

Anas M Abdel Rahman, Shereen M Aleidi, Abeer Malkawi, Hiba Al Fahmawi

Journal: Advances in clinical chemistry 2025;127():63-84

PMID: 40645676

Full Text on Elsevier Science View on PubMed

Abstract

This chapter reviews the emerging role of metabolomics in nephrotic syndrome (NS), a kidney disorder characterized by proteinuria, hypoalbuminemia, edema, and hyperlipidemia. Metabolomics provides valuable insights into the complex metabolic changes associated with NS, including disruptions in lipid, amino acid, and energy metabolism and oxidative stress markers. Through untargeted and targeted approaches, metabolomics enables the discovery of novel potential biomarkers that could enhance diagnosis, monitor disease progression, and personalize treatment strategies. Despite challenges such as methodological variability and the need for extensive computational resources, advancements in metabolomics technology and data integration are poised to improve our understanding of NS. Integrating metabolomics with genomics and proteomics may enable a comprehensive molecular profile of NS, offering new opportunities for precision medicine and improved patient outcomes.

Address: Department of Medicinal Chemistry, College of Pharmacy, University of Sharjah, Sharjah, United Arab Emirates; Department of Biopharmaceutics and Clinical Pharmacy, School of Pharmacy, The University of Jordan, Amman, Jordan.; Department of Chemistry, Université du Québec à Montréal, Montreal, QC, Canada.; Department of Medicinal Chemistry, College of Pharmacy, University of Sharjah, Sharjah, United Arab Emirates.; Metabolomics Section, Precision Medicine Laboratory Department, Genomic Medicine Center of Excellence, King Faisal Specialist Hospital and Research Centre (KFSHRC), Riyadh, Saudi Arabia; Department of Biochemistry and Molecular Medicine, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia. Electronic address: [email protected].

DOI: 10.1016/bs.acc.2025.04.004

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MeSH Terms: Nephrotic Syndrome, Humans, Metabolomics, Biomarkers