Use of biomarkers in CKD diagnosis

September 2, 2024

The Chronic Kidney Disease Solution™ By Shelly Manning It is an eBook that includes the most popular methods to care and manage kidney diseases by following the information provided in it. This easily readable eBook covers up various important topics like what is chronic kidney disease, how it is caused, how it can be diagnosed, tissue damages caused by chronic inflammation, how your condition is affected by gut biome, choices for powerful lifestyle and chronic kidney disease with natural tools etc.


Use of biomarkers in CKD diagnosis

Biomarkers play a crucial role in the diagnosis, monitoring, and management of Chronic Kidney Disease (CKD). They provide valuable insights into kidney function, the extent of kidney damage, and the underlying causes of disease. The use of biomarkers in CKD can enhance the accuracy of diagnosis, allow for earlier detection of the disease, and help tailor treatment to individual patients. Here is an in-depth exploration of the use of biomarkers in CKD diagnosis:

1. Traditional Biomarkers in CKD Diagnosis

1.1 Serum Creatinine

  • Purpose: Serum creatinine is a byproduct of muscle metabolism that is filtered out by the kidneys. It is one of the most commonly used biomarkers for assessing kidney function.
  • Limitations: While widely used, serum creatinine is not a perfect marker as its levels can be influenced by factors such as age, gender, muscle mass, and diet. Moreover, significant kidney damage can occur before serum creatinine levels become elevated.
  • Clinical Use: Elevated serum creatinine levels typically indicate reduced kidney function. This marker is used to estimate the Glomerular Filtration Rate (GFR), which is crucial for diagnosing and staging CKD.

1.2 Estimated Glomerular Filtration Rate (eGFR)

  • Purpose: eGFR is calculated using serum creatinine levels along with variables like age, sex, and sometimes race. It provides an estimate of the rate at which the kidneys filter blood, which is a key measure of kidney function.
  • Clinical Significance:
    • eGFR > 90 mL/min/1.73 m²: Normal or Stage 1 CKD (with kidney damage).
    • eGFR 60-89 mL/min/1.73 m²: Stage 2 CKD.
    • eGFR 30-59 mL/min/1.73 m²: Stage 3 CKD.
    • eGFR 15-29 mL/min/1.73 m²: Stage 4 CKD.
    • eGFR < 15 mL/min/1.73 m²: Stage 5 CKD or kidney failure.
  • Limitations: The formula used to calculate eGFR has limitations, especially in patients with extremes of body size, diet, or muscle mass. Additionally, certain ethnic groups may have inaccuracies in eGFR calculations due to differences in the standard equations used.

1.3 Blood Urea Nitrogen (BUN)

  • Purpose: BUN measures the amount of nitrogen in the blood that comes from urea, a waste product formed during the breakdown of proteins.
  • Clinical Use: Elevated BUN levels can indicate impaired kidney function, though like serum creatinine, BUN levels can be influenced by factors such as diet, hydration status, and liver function.
  • Limitations: BUN is less specific than creatinine for assessing kidney function, as it can be affected by non-renal factors like dehydration, high-protein diet, and gastrointestinal bleeding.

1.4 Urine Albumin-to-Creatinine Ratio (UACR)

  • Purpose: UACR measures the amount of albumin in the urine relative to creatinine, helping to quantify albuminuria, which is an early marker of kidney damage.
  • Clinical Significance:
    • UACR < 30 mg/g: Normal.
    • UACR 30-300 mg/g: Moderately increased albuminuria (microalbuminuria).
    • UACR > 300 mg/g: Severely increased albuminuria (macroalbuminuria).
  • Role in CKD: Persistent albuminuria is one of the earliest signs of CKD, particularly in patients with diabetes or hypertension. UACR is a key diagnostic and prognostic biomarker in CKD, indicating kidney damage even when eGFR is normal.

2. Emerging and Novel Biomarkers in CKD

2.1 Cystatin C

  • Purpose: Cystatin C is a protein produced by all nucleated cells and is freely filtered by the kidneys. Unlike creatinine, its levels are not influenced by muscle mass, age, or sex, making it a potentially more accurate marker of kidney function.
  • Clinical Use: Cystatin C can be used to estimate GFR and is particularly useful in cases where creatinine-based eGFR might be inaccurate. It is also used to refine risk stratification for cardiovascular disease in CKD patients.
  • Significance: Studies have shown that Cystatin C is a better predictor of adverse outcomes such as cardiovascular events and mortality in CKD patients compared to creatinine.

2.2 Neutrophil Gelatinase-Associated Lipocalin (NGAL)

  • Purpose: NGAL is a protein expressed in response to kidney injury and is considered an early marker of acute kidney injury (AKI). It is found in both urine and plasma.
  • Role in CKD: Although primarily studied in the context of AKI, elevated NGAL levels may also indicate early kidney damage in CKD before significant loss of kidney function occurs.
  • Clinical Potential: NGAL has the potential to serve as a biomarker for early detection of CKD progression and acute exacerbations of kidney damage.

2.3 Kidney Injury Molecule-1 (KIM-1)

  • Purpose: KIM-1 is a transmembrane protein expressed in renal tubular cells in response to injury. It is detectable in urine and is a promising biomarker for kidney damage.
  • Role in CKD: KIM-1 levels correlate with the degree of tubular damage and can predict CKD progression, especially in patients with diabetic nephropathy or hypertensive nephrosclerosis.
  • Clinical Use: KIM-1 is being investigated as a non-invasive marker for early detection of CKD and as a tool to monitor disease progression and response to therapy.

2.4 Beta-2 Microglobulin (β2M)

  • Purpose: β2M is a component of the major histocompatibility complex (MHC) class I molecules and is found on the surface of nearly all nucleated cells. It is filtered by the kidneys and reabsorbed in the proximal tubule.
  • Clinical Use: Elevated levels of β2M in the blood or urine indicate reduced kidney function and are associated with CKD progression. β2M is particularly useful in monitoring tubular function and detecting early tubular injury.
  • Significance: β2M is gaining attention as a biomarker for early CKD detection, particularly in patients with conditions like multiple myeloma, where it can help assess kidney involvement.

2.5 Fibroblast Growth Factor 23 (FGF-23)

  • Purpose: FGF-23 is a hormone involved in phosphate metabolism, secreted by osteocytes in response to elevated phosphate levels. It plays a role in CKD-Mineral and Bone Disorder (CKD-MBD).
  • Role in CKD: Elevated FGF-23 levels are observed early in CKD, even before changes in phosphate, calcium, or PTH levels. High FGF-23 levels are associated with increased risks of cardiovascular disease and mortality in CKD patients.
  • Clinical Use: FGF-23 is increasingly being recognized as a marker for CKD progression and as a potential therapeutic target to manage CKD-MBD and its cardiovascular complications.

2.6 N-Acetyl-β-D-Glucosaminidase (NAG)

  • Purpose: NAG is an enzyme released from the lysosomes of renal tubular cells in response to injury. It is considered a marker of tubular damage.
  • Role in CKD: Elevated urinary NAG levels are associated with CKD progression, particularly in diseases like diabetic nephropathy. NAG can be used to detect subclinical kidney damage and monitor the effects of nephrotoxic drugs.
  • Clinical Potential: NAG is being explored as a non-invasive biomarker for early kidney injury and a predictor of CKD progression, especially in patients exposed to nephrotoxic agents.

3. Multi-Biomarker Approaches

3.1 Combining Biomarkers for Improved Diagnosis

  • Purpose: Using a combination of biomarkers can improve the accuracy of CKD diagnosis and provide a more comprehensive picture of kidney health.
  • Example: Combining eGFR with biomarkers like cystatin C, NGAL, and KIM-1 may enhance early detection, risk stratification, and monitoring of CKD progression.
  • Clinical Use: Multi-biomarker panels are being developed to assess different aspects of kidney function and damage, such as glomerular filtration, tubular injury, and inflammation, providing a holistic view of CKD.

3.2 Prognostic Biomarkers

  • Role in Risk Stratification: Certain biomarkers, such as FGF-23, cystatin C, and NGAL, are associated with adverse outcomes like cardiovascular events and mortality in CKD patients. These biomarkers can be used to identify high-risk patients who may benefit from more aggressive management.
  • Monitoring Treatment Response: Biomarkers can also be used to monitor the response to treatment, allowing for personalized adjustments in therapy. For example, reductions in albuminuria or FGF-23 levels can indicate a positive response to treatment.

4. Clinical Implementation and Future Directions

4.1 Integration into Clinical Practice

  • Challenges: Despite the potential of novel biomarkers, integrating them into routine clinical practice faces challenges such as cost, availability, and the need for standardization of assays.
  • Guidelines and Protocols: Ongoing research is needed to establish clinical guidelines for the use of these biomarkers in CKD diagnosis and management. Protocols that incorporate biomarker testing into CKD care pathways will help streamline their use in practice.

4.2 Personalized Medicine

  • Tailoring Treatment: Biomarkers can help tailor CKD treatment to individual patients by identifying those who are most likely to benefit from specific therapies, such as RAAS inhibitors or phosphate binders.
  • Predicting Disease Course: Biomarkers can also predict the course of CKD in individual patients, allowing for personalized monitoring schedules and interventions to prevent progression.

4.3 Research and Development

  • Ongoing Studies: Research continues to identify new biomarkers and validate existing ones for their role in CKD diagnosis and prognosis. Large-scale studies and clinical trials are needed to confirm the utility of these biomarkers in diverse patient populations.
  • Technological Advances: Advances in technologies like proteomics, genomics, and metabolomics are likely to identify additional biomarkers and provide deeper insights into the pathophysiology of CKD.

Conclusion

Biomarkers are indispensable tools in the diagnosis and management of CKD. Traditional biomarkers like serum creatinine, eGFR, and UACR remain the cornerstone of CKD diagnosis, while emerging biomarkers such as cystatin C, NGAL, and FGF-23 hold promise for improving early detection, risk stratification, and personalized treatment. The integration of novel biomarkers into clinical practice, along with the development of multi-biomarker approaches, is likely to enhance the precision and effectiveness of CKD care. As research progresses, the use of biomarkers will continue to evolve, offering new opportunities to improve outcomes for patients with CKD.

The Chronic Kidney Disease Solution™ By Shelly Manning It is an eBook that includes the most popular methods to care and manage kidney diseases by following the information provided in it. This easily readable eBook covers up various important topics like what is chronic kidney disease, how it is caused, how it can be diagnosed, tissue damages caused by chronic inflammation, how your condition is affected by gut biome, choices for powerful lifestyle and chronic kidney disease with natural tools etc.