title: Profiling human blood serum metabolites by nuclear magnetic resonance spectroscopy: a comprehensive tool for the evaluation of hemodialysis efficiency.
abstract: Hemodialysis remains the standard therapy to treat patients affected with end-stage renal disease by removing metabolites accumulated in blood plasma. The efficiency of hemodialysis is mainly monitored by urea clearance, which is routinely checked in clinical laboratory practice. However, there is mounting evidence that the clearance behavior of selected single metabolites is not sufficient to predict long-term outcome of treatment. To address this problem, we evaluated the potential of nuclear magnetic resonance spectroscopy for monitoring hemodialysis efficiency by comprehensive profiling of blood serum metabolites. We carried out a pilot study with a cohort of end-stage chronic kidney disease patients (n = 29), analyzing their serum prior and immediately after hemodialysis. To account for supposed variability in the accumulation of metabolites and efficiency of hemodialysis, patients' blood sera were repeatedly collected over a period of several months. Our results revealed that the metabolic profile in terms of concentrations varied considerably between patients but was comparably constant on the patient's level over the period of 4 months. Interestingly, also the individual clearance of the metabolites was characteristic for each patient. Thus, it is conceivable that the observed patient-dependent clearance patterns reflect to some extent the patients' long-term perspectives. We conclude that nuclear magnetic resonance spectroscopy is an optimal tool to complement traditional clinical methods based on a single variable, providing comprehensive and much more global information, which is crucial for patient evaluation and the development of improved treatments of kidney failure.
authors.affiliation: Karlsruhe Institute of Technology, Institute of Organic Chemistry, Karlsruhe, Germany.
authors.forename: Marika
authors.initials: M
authors.lastname: Kromke
authors.affiliation: Karlsruhe Institute of Technology, Institute of Organic Chemistry, Karlsruhe, Germany; Centro de Investigación Príncipe Felipe, Valencia, Spain.
authors.forename: Martina
authors.initials: M
authors.lastname: Palomino-Schätzlein
authors.affiliation: Städtisches Klinikum Karlsruhe, Karlsruhe, Germany.
authors.forename: Horst
authors.initials: H
authors.lastname: Mayer
authors.affiliation: Städtisches Klinikum Karlsruhe, Karlsruhe, Germany.
authors.forename: Stefan
authors.initials: S
authors.lastname: Pfeffer
authors.affiliation: Centro de Investigación Príncipe Felipe, Valencia, Spain; Instituto de Investigación Sanitaria La Fe, Valencia, Spain.
authors.forename: Antonio
authors.initials: A
authors.lastname: Pineda-Lucena
authors.affiliation: Karlsruhe Institute of Technology, Institute of Organic Chemistry, Karlsruhe, Germany; Karlsruhe Institute of Technology, Institute for Biological Interfaces 4, Karlsruhe, Germany.
authors.forename: Burkhard
authors.initials: B
authors.lastname: Luy
authors.affiliation: Städtisches Klinikum Karlsruhe, Karlsruhe, Germany.
authors.forename: Martin
authors.initials: M
authors.lastname: Hausberg
authors.affiliation: Karlsruhe Institute of Technology, Institute of Organic Chemistry, Karlsruhe, Germany; Karlsruhe Institute of Technology, Institute for Biological Interfaces 4, Karlsruhe, Germany. Electronic address: claudia.muhle@kit.edu.
authors.forename: Claudia
authors.initials: C
authors.lastname: Muhle-Goll
mesh_terms: D003920:Diabetes Mellitus / Q000145:classification; D016002:Discriminant Analysis; D006801:Humans; D016018:Least-Squares Analysis; D055442:Metabolome; D015999:Multivariate Analysis; D025341:Principal Component Analysis; D066244:Proton Magnetic Resonance Spectroscopy; D006435:Renal Dialysis; D044967:Serum / Q000378:metabolism*