title: Urinary Proteomics for Diagnosis and Monitoring of Diabetic Nephropathy.
abstract: 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.
authors.affiliation: Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK. Gemma.Currie@glasgow.ac.uk.
authors.forename: G
authors.initials: G
authors.lastname: Currie
authors.affiliation: Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK.
authors.forename: C
authors.initials: C
authors.lastname: Delles
mesh_terms: D000419:Albuminuria / Q000175:diagnosis; D000818:Animals; D015415:Biomarkers / Q000378:metabolism; D003928:Diabetic Nephropathies / Q000175:diagnosis* / Q000652:urine; D042241:Early Diagnosis; D006801:Humans; D011446:Prospective Studies; D040901:Proteomics
chemical_list: D015415:Biomarkers
keywords: Biomarkers; Diabetes; Nephropathy; Proteomics; Translational