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Updated: May 31, 2026

Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Biomarkers in chronic kidney disease: a review
Robert G Fassett1, Sree K Venuthurupalli, Glenda C Gobe
1Renal Research, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia. r.fassett@uq.edu.au
Insights
New biomarkers show promise for identifying chronic kidney disease (CKD) progression and cardiovascular disease (CVD) risk. Further research is needed to validate these sensitive markers for clinical use.
Area of Science:
- Nephrology
- Biomarker Discovery
- Cardiovascular Disease
Background:
- Chronic kidney disease (CKD) is a significant global health issue.
- Current methods like eGFR and proteinuria have limitations in predicting CKD progression and associated cardiovascular disease (CVD).
- There is a need for more sensitive biomarkers for early identification of high-risk patients.
Purpose of the Study:
- To review recently identified biomarkers for predicting CKD progression and CVD risk.
- To discuss the potential of novel biomarkers in understanding kidney function and cardiovascular risk.
- To highlight the need for validation of these biomarkers in diverse populations.
Main Methods:
- Review of recent scientific literature on novel renal biomarkers.
- Analysis of candidate biomarkers such as neutrophil gelatinase-associated lipocalin, kidney injury molecule-1, and liver-type fatty acid-binding protein.
- Discussion on the role of multi-biomarker panels for personalized CKD management.
Main Results:
- Several promising biomarkers have been identified for CKD progression and CVD risk.
- These novel biomarkers may offer greater sensitivity in assessing kidney function and cardiovascular risk.
- Current biomarkers have limitations, necessitating the exploration of new markers.
Conclusions:
- Novel biomarkers like NGAL, KIM-1, and L-FABP show potential for predicting CKD progression and CVD risk.
- A panel of biomarkers, including disease-specific ones, may be required due to the diverse causes of CKD.
- Large-scale longitudinal studies are essential to validate these biomarkers before clinical implementation.
Abstract:
Chronic kidney disease (CKD) is a major public health problem. The classification of CKD by KDOQI and KDIGO and the routine eGFR reporting have resulted in increased identification of CKD. It is important to be able to identify those at high risk of CKD progression and its associated cardiovascular disease (CVD). Proteinuria is the most sensitive marker of CKD progression in clinical practice, especially when combined with eGFR, but these have limitations. Hence, early, more sensitive, biomarkers are required. Recently, promising biomarkers have been identified for CKD progression and its associated CVD morbidity and mortality. These may be more sensitive biomarkers of kidney function, the underlying pathophysiological processes, and/or cardiovascular risk. Although there are some common pathways to CKD progression, there are many primary causes, each with its own specific pathophysiological mechanism. Hence, a panel measuring multiple biomarkers including disease-specific biomarkers may be required. Large, longitudinal observational studies are needed to validate candidate biomarkers in a broad range of populations prior to implementation into routine CKD management. Recent renal biomarkers discovered include neutrophil gelatinase-associated lipocalin, kidney injury molecule-1, and liver-type fatty acid-binding protein. Although none are ready for use in clinical practice, it is timely to review the role of such biomarkers in predicting CKD progression and/or CVD risk in CKD.
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