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Hocher, B.* ; Adamski, J.

Metabolomics for clinical use and research in chronic kidney disease.

Nat. Rev. Nephrol. 13, 269-284 (2017)
Verlagsversion DOI PMC
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Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Chronic kidney disease (CKD) has a high prevalence in the general population and is associated with high mortality; a need therefore exists for better biomarkers for diagnosis, monitoring of disease progression and therapy stratification. Moreover, very sensitive biomarkers are needed in drug development and clinical research to increase understanding of the efficacy and safety of potential and existing therapies. Metabolomics analyses can identify and quantify all metabolites present in a given sample, covering hundreds to thousands of metabolites. Sample preparation for metabolomics requires a very fast arrest of biochemical processes. Present key technologies for metabolomics are mass spectrometry and proton nuclear magnetic resonance spectroscopy, which require sophisticated biostatistic and bioinformatic data analyses. The use of metabolomics has been instrumental in identifying new biomarkers of CKD such as acylcarnitines, glycerolipids, dimethylarginines and metabolites of tryptophan, the citric acid cycle and the urea cycle. Biomarkers such as c-mannosyl tryptophan and pseudouridine have better performance in CKD stratification than does creatinine. Future challenges in metabolomics analyses are prospective studies and deconvolution of CKD biomarkers from those of other diseases such as metabolic syndrome, diabetes mellitus, inflammatory conditions, stress and cancer.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Schlagwörter 11-beta-hydroxysteroid Dehydrogenase Type-1; Chronic-renal-failure; Serum Cystatin-c; Chromatography-mass Spectrometry; Glomerular-filtration-rate; Oxidative Stress; Diabetic-nephropathy; Biomarker Discovery; General-population; L-carnitine
Sprache englisch
Veröffentlichungsjahr 2017
HGF-Berichtsjahr 2017
ISSN (print) / ISBN 1759-5061
e-ISSN 1759-507X
Zeitschrift Nature Reviews - Nephrology
Quellenangaben Band: 13, Heft: 5, Seiten: 269-284 Artikelnummer: , Supplement: ,
Verlag Nature Publishing Group
Verlagsort New York, NY
Begutachtungsstatus Peer reviewed
Institut(e) Molekulare Endokrinologie und Metabolismus (MEM)
POF Topic(s) 30201 - Metabolic Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-505600-003
DOI 10.1038/nrneph.2017.30
WOS ID WOS:000399003200004
Scopus ID 85015633317
PubMed ID 28262773
Erfassungsdatum 2017-03-15
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