Proteomic and metabolomic approaches in the search for biomarkers in chronic kidney disease

This publication has 96 references indexed in Scilit:

• A Plasma Long‐Chain Acylcarnitine Predicts Cardiovascular Mortality in Incident Dialysis Patients
  Journal of the American Heart Association, 2013
• CKD273, a New Proteomics Classifier Assessing CKD and Its Prognosis
  PLOS ONE, 2013
• Systematic variations associated with renal disease uncovered by parallel metabolomics of urine and serum
  BMC Systems Biology, 2012
• Identification of urinary metabolites that distinguish membranous lupus nephritis from proliferative lupus nephritis and focal segmental glomerulosclerosis
  Arthritis Research & Therapy, 2011
• Sphingomyelin is associated with kidney disease in type 1 diabetes (The FinnDiane Study)
  Metabolomics, 2011
• Discovery of early-stage biomarkers for diabetic kidney disease using ms-based metabolomics (FinnDiane study)
  Metabolomics, 2011
• Urinary proteome analysis enables assessment of renoprotective treatment in type 2 diabetic patients with microalbuminuria
  BMC Nephrology, 2010
• Naturally Occurring Human Urinary Peptides for Use in Diagnosis of Chronic Kidney Disease
  Molecular & Cellular Proteomics, 2010
• Asymmetric Dimethylarginine and Lipid Peroxidation Products in Early Autosomal Dominant Polycystic Kidney Disease
  American Journal of Kidney Diseases, 2008
• 'Metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data
  Xenobiotica, 1999