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Title of Journal: Metabolomics

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Abbravation: Metabolomics

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Springer US

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DOI

10.1007/s10958-007-0388-7

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1573-3890

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Discrimination of steatosis and NASH in mice using

Authors: Matthias S Klein Christoph Dorn Michael Saugspier Claus Hellerbrand Peter J Oefner Wolfram Gronwald
Publish Date: 2010/09/25
Volume: 7, Issue: 2, Pages: 237-246
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Abstract

Nonalcoholic fatty liver disease NAFLD is a common cause of hepatic dysfunction The disease spectrum ranges from hepatic steatosis to nonalcoholic steatohepatitis NASH The aim of this study was to identify metabolic differences in murine models of simple hepatic steatosis and NASH for the distinction of these NAFLD stages For 12 weeks male BALB/c mice were fed either a control or two different highfat diets leading to hepatic steatosis and NASH respectively Metabolic differences were determined by independent component analysis ICA of nuclear magnetic resonance NMR spectra of lipophilic and hydrophilic liver extracts and urine specimens The results from ICA clearly discriminated the three investigated groups Discriminatory biomarkers in the lipophilic liver extracts were free cholesterol cholesterol ester and lipid methylene Discrimination of the hydrophilic liver extracts was mainly mediated by betaine glucose and lactate whereas in urine taurine trimethylamineNoxide and trimethylamine were the most discriminatory biomarkers In conclusion NMR metabolite fingerprinting of spot urine specimens may allow the noninvasive distinction of steatosis and NASHThis study was funded by BayGene and the Regensburg ReForM program The authors who have taken part in this study declared that they do not have anything to disclose regarding funding from industry or conflict of interest with respect to this manuscript


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  2. Precursor-to-product ratios reflect biochemical phenotype in congenital adrenal hyperplasia
  3. Metabolite profiling of potato ( Solanum tuberosum L.) tubers during wound-induced suberization
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  6. A novel stable isotope labelling assisted workflow for improved untargeted LC–HRMS based metabolomics research
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  9. Say hello to Dr Warwick Dunn! Metabolomics’ new Reviews Editor
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  13. Volatile metabolic diversity of Klebsiella pneumoniae in nutrient-replete conditions
  14. Novel metabolic features in Acinetobacter baylyi ADP1 revealed by a multiomics approach
  15. Post-ejaculatory changes in the metabolic status of rat spermatozoa as measured by GC-MS
  16. Untargeted urine metabolomics reveals a biosignature for muscle respiratory chain deficiencies
  17. Fusion of the 1 H NMR data of serum, urine and exhaled breath condensate in order to discriminate chronic obstructive pulmonary disease and obstructive sleep apnea syndrome
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