title: Proteomics for prediction of disease progression and response to therapy in diabetic kidney disease.
abstract: The past decade has resulted in multiple new findings of potential proteomic biomarkers of diabetic kidney disease (DKD). Many of these biomarkers reflect an important role in the (patho)physiology and biological processes of DKD. Situations in which proteomics could be applied in clinical practice include the identification of individuals at risk of progressive kidney disease and those who would respond well to treatment, in order to tailor therapy for those at highest risk. However, while many proteomic biomarkers have been discovered, and even found to be predictive, most lack rigorous external validation in sufficiently powered studies with renal endpoints. Moreover, studies assessing short-term changes in the proteome for therapy-monitoring purposes are lacking. Collaborations between academia and industry and enhanced interactions with regulatory agencies are needed to design new, sufficiently powered studies to implement proteomics in clinical practice.
authors.affiliation: Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, P.O. Box 30.001, 9700 RB, Groningen, the Netherlands.
authors.forename: Michelle J
authors.initials: MJ
authors.lastname: Pena
authors.affiliation: BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK.|Mosaiques Diagnostics GmbH, Hannover, Germany.
authors.forename: Harald
authors.initials: H
authors.lastname: Mischak
authors.affiliation: Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, P.O. Box 30.001, 9700 RB, Groningen, the Netherlands. h.j.lambers.heerspink@umcg.nl.
authors.forename: Hiddo J L
authors.initials: HJ
authors.lastname: Heerspink
mesh_terms: D000818:Animals; D015415:Biomarkers / Q000378:metabolism; D003920:Diabetes Mellitus / Q000378:metabolism / Q000473:pathology; D003928:Diabetic Nephropathies / Q000378:metabolism* / Q000473:pathology*; D018450:Disease Progression; D006801:Humans; D007674:Kidney Diseases / Q000378:metabolism / Q000473:pathology; D020543:Proteome / Q000378:metabolism; D040901:Proteomics / Q000379:methods*
chemical_list: D015415:Biomarkers; D020543:Proteome
keywords: Diabetes mellitus; Kidney disease; Proteomics; Review