Chronic kidney disease: Biomarker diagnosis to therapeutic targets

Area of Science:

• Biochemistry
• Nephrology
• Biomarker Discovery

Background:

• Chronic kidney disease (CKD) is a global health issue with high mortality.
• Early-stage CKD lacks distinct symptoms and reliable biomarkers, hindering timely diagnosis and treatment.
• Metabolomics shows promise for uncovering disease mechanisms and identifying novel biomarkers for CKD.

Purpose of the Study:

• To review recent metabolomic applications in chronic kidney disease research.
• To highlight potential biomarkers for CKD diagnosis and therapeutic development.

Main Methods:

• Analysis of metabolomic data from animal models of CKD.
• Examination of metabolomic profiles in human patients with CKD.
• Identification of dysregulated metabolites associated with CKD.

Main Results:

• CKD is linked to significant alterations in various metabolites, including amino acids, lipids, nucleotides, and glycoses.
• These dysregulated metabolites show potential as biomarkers for CKD.
• Metabolomic studies in both animal models and human patients reveal consistent patterns.

Conclusions:

• Metabolomics is a powerful tool for understanding CKD pathophysiology.
• Identified metabolites can serve as promising biomarkers for early CKD diagnosis and monitoring.
• Further research into these biomarkers could lead to new therapeutic strategies for CKD.