| Literature DB >> 29577044 |
Abstract
Patients with diabetic nephropathy have a higher risk of mortality, mostly from cardiovascular complications. Standard biomarkers including serum creatinine, estimated glomerular filtration rate, and albuminuria are imprecise, do not directly measure renal tissue injury, and are relatively insensitive to small changes in renal function. Thus, availability of novel biomarkers that are sensitive, specific, and precise as well as able to detect kidney injury and predict clinically significant outcomes would be widely useful in diabetic nephropathy. Novel biomarkers of the processes that induce tubulointerstitial changes may ultimately prove to better predict renal progression and prognosis in type 2 diabetes. Recently, certain biomarkers, which were initially identified in acute kidney injury, also have been reported to confer value in evaluating patients with chronic kidney disease. Biomarkers such as cystatin C, kidney injury molecule-1 (KIM-1), neutrophil gelatinase-associated lipocalin (NGAL), angiotensinogen, periostin, and monocyte chemoattractant protein-1 (MCP-1) reflect tubular injury. In this article, we focused on the potential applications of these biomarkers in diabetic nephropathy.Entities:
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Year: 2018 PMID: 29577044 PMCID: PMC5822931 DOI: 10.1155/2018/2852398
Source DB: PubMed Journal: J Diabetes Res Impact factor: 4.011
Biomarkers for diabetic nephropathy.
| Biomarkers | Source cell | Description |
|---|---|---|
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| Creatinine | Muscle cells | Glomerular filtration markers [ |
| Factors affecting creatinine generation | ||
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| Albuminuria | — | Glomerular damage markers [ |
| 20–40% of diabetic patients with renal impairment exhibited normal albuminuria [ | ||
| No detection in tubulointerstitial injury [ | ||
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| Cystatin C | Nucleated cells/proximal tubular cells | Serum cystatin: glomerular filtration markers |
| Urine cystatin: tubular markers | ||
| Predicted the renal progression of type 2 diabetes [ | ||
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| Neutrophil gelatinase-associated lipocalin (NGAL) | Neutrophils/distal tubular cells | Urine NGAL: distal tubular markers |
| Increased in response to tubulointerstitial injury [ | ||
| Predicted the renal progression of type 2 diabetes [ | ||
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| Kidney injury molecule-1 (KIM-1) | Proximal tubular cells | Urine KIM-1: proximal tubular markers |
| Increased in response to tubulointerstitial injury [ | ||
| Predicted the renal progression of type 2 diabetes [ | ||
|
| ||
| Angiotensinogen | Proximal tubular cells | Urine angiotensinogen: proximal tubular markers |
| Increased in response to renal RAAS activation [ | ||
| Predicted the renal progression of type 2 diabetes [ | ||
|
| ||
| Periostin | Bone/distal tubular cells | Urine periostin: distal tubular markers |
| Increased in response to renal fibrosis and inflammation [ | ||
| Predicted the renal progression of type 2 diabetes [ | ||
|
| ||
| Monocyte chemoattractant protein-1 (MCP-1) | Macrophages, glomerular and tubular cells | Urine MCP-1: glomerular and tubular markers |
| Increased in response to renal inflammation [ | ||
| Predicted the albuminuria and renal progression of type 2 diabetes [ | ||