title: Body fluid peptide and protein signatures in diabetic kidney diseases.
abstract: Body fluid protein-based biomarkers carry the hope of improving patient management in diabetes by enabling more accurate and earlier detection of diabetic kidney disease (DKD), but also of defining the most suitable therapeutic targets. We present the data on some of the best studied individual protein markers in body fluids and conclude that their potential in clinical application for assessing DKD is moderate. Proteome-based approaches aiming at the identification of panels of body fluid biomarkers might be a valid alternative. We discuss the past (first) clinical proteomics studies in DKD, stressing their drawbacks but also the lessons that could be learned from them, as well as the more recent studies that have a potential for actual clinical implementation. We also highlight relevant issues and current problems associated with clinical proteomics from discovery towards application, and give suggestions for solutions that may help guiding proteomic studies, thereby removing some of the current hurdles for implementation of potentially beneficial results.
authors.affiliation: Universitätsklinikum RWTH Aachen, Institute of Molecular Cardiovascular Research, Aachen, Germany.
authors.forename: Joachim
authors.initials: J
authors.lastname: Jankowski
authors.affiliation: Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institute of Cardiovascular and Metabolic Disease, Toulouse, France Université Toulouse III Paul-Sabatier, Toulouse, France.
authors.forename: Joost P
authors.initials: JP
authors.lastname: Schanstra
authors.affiliation: Mosaiques Diagnostics & Therapeutics, Hannover, Germany BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, Faculty of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
authors.forename: Harald
authors.initials: H
authors.lastname: Mischak
mesh_terms: D015415:Biomarkers / Q000378:metabolism*; D001826:Body Fluids / Q000378:metabolism*; D003928:Diabetic Nephropathies / Q000175:diagnosis* / Q000378:metabolism*; D006801:Humans; D010446:Peptide Fragments / Q000378:metabolism*; D020543:Proteome / Q000032:analysis*; D040901:Proteomics / Q000379:methods*
chemical_list: D015415:Biomarkers; D010446:Peptide Fragments; D020543:Proteome
keywords: biomarkers; implementation; mass spectrometry; prediction; urine