51. Profiling human blood serum metabolites by nuclear magnetic resonance spectroscopy: a comprehensive tool for the evaluation of hemodialysis efficiency
- Author
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Claudia Muhle-Goll, Marika Kromke, Stefan Pfeffer, Horst Mayer, Martin Hausberg, Burkhard Luy, Antonio Pineda-Lucena, and Martina Palomino-Schätzlein
- Subjects
Serum ,medicine.medical_specialty ,medicine.medical_treatment ,Proton Magnetic Resonance Spectroscopy ,030232 urology & nephrology ,Urology ,01 natural sciences ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Blood serum ,Renal Dialysis ,Physiology (medical) ,Diabetes mellitus ,Blood plasma ,medicine ,Metabolome ,Diabetes Mellitus ,Humans ,Least-Squares Analysis ,Kidney ,Principal Component Analysis ,business.industry ,010401 analytical chemistry ,Biochemistry (medical) ,Public Health, Environmental and Occupational Health ,Discriminant Analysis ,General Medicine ,medicine.disease ,0104 chemical sciences ,Surgery ,medicine.anatomical_structure ,chemistry ,Multivariate Analysis ,Hemodialysis ,Asymmetric dimethylarginine ,business ,Kidney disease - 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.
- Published
- 2015