Urinary Proteomics for Diagnosis and Monitoring of Diabetic Nephropathy

Curr Diab Rep. 2016 Nov;16(11):104. doi: 10.1007/s11892-016-0798-3.


The last decade has seen a surge in publications describing novel biomarkers for early detection of diabetic nephropathy (DN), but as yet none have outperformed albuminuria in well-designed prospective studies. This is partially attributable to our incomplete understanding of the many complex interrelated mechanisms underlying DN development, a heterogeneous process unlikely to be captured by a single biomarker. Proteomics offers the advantage of simultaneously analysing the entire protein content of a biological sample, and the technique has gained attention as a potential tool for a more accurate diagnosis of disease at an earlier stage as well as a means by which to unravel the pathogenesis of complex diseases such as DN using an untargeted approach. This review will discuss the potential of proteomics as both a clinical and research tool, evaluating exploratory work in animal models as well as diagnostic potential in human subjects.

Keywords: Biomarkers; Diabetes; Nephropathy; Proteomics; Translational.

Publication types

  • Review

MeSH terms

  • Albuminuria / diagnosis
  • Animals
  • Biomarkers / metabolism
  • Diabetic Nephropathies / diagnosis*
  • Diabetic Nephropathies / urine
  • Early Diagnosis
  • Humans
  • Prospective Studies
  • Proteomics*


  • Biomarkers