title: Metabolic biomarkers for chronic kidney disease.
abstract: Chronic kidney disease (CKD) is an increasingly recognized burden for patients and health care systems with high (and growing) global incidence and prevalence, significant mortality, and disproportionately high treatment costs. Yet, the available diagnostic tools are either impractical in clinical routine or have serious shortcomings impeding a well-informed disease management although optimized treatment strategies with proven benefits for the patients have become available. Advances in bioanalytical technologies have facilitated studies that identified genomic, proteomic, and metabolic biomarker candidates, and confirmed some of them in independent cohorts. This review summarizes the CKD-related markers discovered so far, and focuses on compounds and pathways, for which there is quantitative data, substantiating evidence from translational research, and a mechanistic understanding of the processes involved. Also, multiparametric marker panels have been suggested that showed promising diagnostic and prognostic performance in initial analyses although the data basis from prospective trials is very limited. Large-scale studies, however, are underway and will provide the information for validating a set of parameters and discarding others. Finally, the path from clinical research to a routine application is discussed, focusing on potential obstacles such as the use of mass spectrometry, and the feasibility of obtaining regulatory approval for targeted metabolomics assays.
authors.affiliation: Research Group for Clinical Bioinformatics, Institute of Electrical and Biomedical Engineering (IEBE), University for Health Sciences, Medical Informatics and Technology (UMIT), 6060 Hall in Tirol, Austria.
authors.forename: Marc
authors.initials: M
authors.lastname: Breit
authors.affiliation: Research Group for Clinical Bioinformatics, Institute of Electrical and Biomedical Engineering (IEBE), University for Health Sciences, Medical Informatics and Technology (UMIT), 6060 Hall in Tirol, Austria; sAnalytiCo Ltd., Forsyth House, Cromac Square, Belfast BT2 8LA, United Kingdom. Electronic address: klaus.weinberger@sanalytico.com.
authors.forename: Klaus M
authors.initials: KM
authors.lastname: Weinberger
mesh_terms: D000818:Animals; D015415:Biomarkers / Q000378:metabolism*; D006801:Humans; D055432:Metabolomics / Q000379:methods*; D051436:Renal Insufficiency, Chronic / Q000175:diagnosis / Q000378:metabolism*
chemical_list: D015415:Biomarkers
keywords: Biomarker discovery; Chronic kidney disease; Clinical validation; Metabolic biomarker; Multiparametric marker panels; Targeted metabolomics