Biomarkers in Chronic Kidney Disease

Area of Science:

• Nephrology
• Biomarker Discovery
• Public Health

Background:

• Chronic kidney disease (CKD) is a significant global health issue.
• Current CKD classification (KDOQI, KDIGO) and eGFR reporting have increased diagnosis frequency.
• Proteinuria and eGFR are key markers for CKD progression but have limitations.

Purpose of the Study:

• To highlight the need for novel, sensitive biomarkers in CKD management.
• To identify emerging biomarkers for predicting CKD progression.
• To explore biomarkers associated with cardiovascular disease (CVD) risk in CKD patients.

Main Methods:

• Review of current literature on CKD biomarkers.
• Analysis of the limitations of existing markers (proteinuria, eGFR).
• Identification of promising new biomarkers for renal function and CVD risk.

Main Results:

• Existing markers like proteinuria and eGFR have limitations in predicting CKD progression and CVD risk.
• Emerging biomarkers show promise for early detection and risk stratification.
• New biomarkers can reflect renal function, pathophysiological processes, and cardiovascular risk.

Conclusions:

• There is a critical need for advanced biomarkers to improve CKD patient outcomes.
• Novel biomarkers are essential for accurate prediction of CKD progression and associated CVD.
• Future research should focus on validating and implementing these promising biomarkers in clinical practice.