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Updated: Sep 26, 2025

Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Emerging Biomarkers for Early Detection of Chronic Kidney Disease
Maja Mizdrak1,2, Marko Kumrić2, Tina Tičinović Kurir2,3
1Department of Nephrology and Hemodialysis, University Hospital of Split, 21000 Split, Croatia.
Abstract:
Chronic kidney disease (CKD) is a major and serious global health problem that leads to kidney damage as well as multiple systemic diseases. Early diagnosis and treatment are two major measures to prevent further deterioration of kidney function and to delay adverse outcomes. However, the paucity of early, predictive and noninvasive biomarkers has undermined our ability to promptly detect and treat this common clinical condition which affects more than 10% of the population worldwide. Despite all limitations, kidney function is still measured by serum creatinine, cystatin C, and albuminuria, as well as estimating glomerular filtration rate using different equations. This review aims to provide comprehensive insight into diagnostic methods available for early detection of CKD. In the review, we discuss the following topics: (i) markers of glomerular injury; (ii) markers of tubulointerstitial injury; (iii) the role of omics; (iv) the role of microbiota; (v) and finally, the role of microRNA in the early detection of CKD. Despite all novel findings, none of these biomarkers have met the criteria of an ideal early marker. Since the central role in CKD progression is the proximal tubule (PT), most data from the literature have analyzed biomarkers of PT injury, such as KIM-1 (kidney injury molecule-1), NGAL (neutrophil gelatinase-associated lipocalin), and L-FABP (liver fatty acid-binding protein).
Insights
Early detection of chronic kidney disease (CKD) is crucial but hindered by a lack of ideal biomarkers. This review explores current and emerging diagnostic methods for prompt CKD identification and management.
Area of Science:
- Nephrology
- Biomarker Discovery
- Diagnostic Methods
Background:
- Chronic kidney disease (CKD) is a significant global health issue affecting over 10% of the population.
- Early diagnosis and treatment are vital to prevent kidney function decline and adverse outcomes.
- Current diagnostic methods, including serum creatinine and albuminuria, have limitations in early detection.
Purpose of the Study:
- To provide a comprehensive overview of diagnostic methods for the early detection of CKD.
- To discuss various markers of kidney injury, including glomerular and tubulointerstitial markers.
- To explore the potential of novel approaches like omics, microbiota, and microRNA in early CKD diagnosis.
Main Methods:
- Review of existing literature on CKD diagnostic methods.
- Analysis of biomarkers for glomerular and tubulointerstitial injury.
- Evaluation of emerging technologies such as omics, microbiota analysis, and microRNA profiling.
Main Results:
- Current biomarkers like serum creatinine and cystatin C are insufficient for early CKD detection.
- Markers of proximal tubule injury, including kidney injury molecule-1 (KIM-1), neutrophil gelatinase-associated lipocalin (NGAL), and liver fatty acid-binding protein (L-FABP), show promise.
- Despite advancements, no single biomarker currently meets the criteria for an ideal early-detection marker for CKD.
Conclusions:
- There is an urgent need for novel, noninvasive, and predictive biomarkers for early CKD detection.
- Proximal tubule injury markers are central to understanding CKD progression.
- Further research into omics, microbiota, and microRNA is essential for developing ideal early diagnostic tools for CKD.
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