1,680
Views
76
CrossRef citations to date
0
Altmetric
Review Article

Biomarkers of diabetic nephropathy: A 2017 update

, , , &
Pages 326-342 | Received 13 Mar 2017, Accepted 05 Sep 2017, Published online: 28 Sep 2017
 

Abstract

Diabetic nephropathy (DN), also named diabetic kidney disease (DKD), is a devastating complication in patients with both type 1 and 2 diabetes mellitus (T1D and T2D) and its diagnosis has been traditionally based on the presence of micro-albuminuria (MA). The aim of this article is to update, through review of the relevant medical literature, the most promising biomarkers for early DKD detection. MA has historically been employed as an early marker of microvascular complications, indicating risk for advanced CKD. However, due to the inability of MA to adequately predict DKD, especially in young patients or in non-albuminuric DKD, additional biomarkers of glomerular and/or tubular injury have been proposed to uncover early renal dysfunction and structural lesions, even before MA occurs. Defining new predictive biomarkers to use alongside urinary albumin excretion (UAE) during the initial stages of DKD would provide a window of opportunity for preventive and/or therapeutic interventions to prevent or delay the onset of irreversible long-term complications and to improve outcomes by minimizing the rates of severe cardio-renal morbidity and mortality in DKD patients.

Disclosure statement

The authors report no declarations of interest. The authors alone are responsible for the content and writing of the paper.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 654.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.