Literature DB >> 28225569

Hepatic Alanine Differentiates Nonalcoholic Steatohepatitis From Simple Steatosis in Humans and Mice: A Proton MR Spectroscopy Study With Long Echo Time.

Tae-Hoon Kim1, Hong Young Jun1, Ki-Jong Kim2, Young Hwan Lee1,2, Myeung Su Lee1,3, Keum Ha Choi4, Ki Jung Yun4, Yong Yeon Jeong5, Chung Hwan Jun6, Eun Young Cho3, Kwon-Ha Yoon1,2.   

Abstract

PURPOSE: To evaluate the hepatic metabolic alterations in nonalcoholic fatty liver disease (NAFLD) by using 1 H-MRS (proton magnetic resonance spectroscopy) with long echo time and to test the reproducibility of human study in an animal model. Liver biopsy is the gold standard for diagnosing NAFLD but with practical constraints. 1 H-MRS allows in vivo assessment of hepatocellular metabolism and has shown potential for biochemical differentiation in diffuse liver disease.
MATERIALS AND METHODS: In all, 32 subjects (11 patients with nonalcoholic steatohepatitis [NASH], 15 with simple steatosis [SS], and six healthy controls) were studied. For test reproducibility, 36 C57BL/6 mice, including 10 mice with streptozotocin-induced NASH, 15 with SS, and 11 high-fat diet controls, were studied. 1 H-MRS measurements at 3T and 4.7T MRI were performed on a localized voxel of the liver using PRESS sequence. Hepatic alanine (Ala), lactate+triglyceride (Lac+TG), and TG levels were compared between NASH, SS, and control groups using analysis of variance (ANOVA) tests. Diagnostic accuracy was determined by calculating the area under the receiver operating characteristics (ROC) curve. The associations between metabolite levels and pathologic grades or NAFLD activity scores (NAS) were assessed using Pearson's correlation.
RESULTS: NASH patients had higher levels of Ala (P < 0.001), Lac+TG (P < 0.001), and TG (P < 0.05) than SS patients or controls. The AUROC curve to distinguish NASH from SS was 1.00 (95% confidence interval [CI] 1.00-1.00) for Ala and 0.782 (95% CI 0.61-0.96) for Lac+TG. Ala and Lac+TG concentrations were positively correlated with steatosis grade (Ala Pearson's r = 0.723; Lac+TG r = 0.446), lobular inflammation (Ala r = 0.513), and NAS (Ala r = 0.743; Lac+TG r = 0.474).
CONCLUSION: 1 H-MRS is potentially useful for noninvasive diagnosis of NASH and simple steatosis by hepatic metabolite quantification. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017;46:1298-1310.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  hepatic metabolites; nonalcoholic fatty liver disease (NAFLD); nonalcoholic steatohepatitis (NASH); proton magnetic resonance spectroscopy (1H MRS)

Mesh:

Substances:

Year:  2017        PMID: 28225569     DOI: 10.1002/jmri.25673

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  5 in total

1.  Development of liver surface nodularity quantification program and its clinical application in nonalcoholic fatty liver disease.

Authors:  Tae-Hoon Kim; Ji Eon Kim; Jong-Hyun Ryu; Chang-Won Jeong
Journal:  Sci Rep       Date:  2019-07-10       Impact factor: 4.379

2.  Ketohexokinase inhibition improves NASH by reducing fructose-induced steatosis and fibrogenesis.

Authors:  Emma L Shepherd; Raquel Saborano; Ellie Northall; Kae Matsuda; Hitomi Ogino; Hiroaki Yashiro; Jason Pickens; Ryan E Feaver; Banumathi K Cole; Stephen A Hoang; Mark J Lawson; Matthew Olson; Robert A Figler; John E Reardon; Nobuhiro Nishigaki; Brian R Wamhoff; Ulrich L Günther; Gideon Hirschfield; Derek M Erion; Patricia F Lalor
Journal:  JHEP Rep       Date:  2020-11-20

3.  Genetic Regulation of Liver Metabolites and Transcripts Linking to Biochemical-Clinical Parameters.

Authors:  Siriluck Ponsuksili; Nares Trakooljul; Frieder Hadlich; Karen Methling; Michael Lalk; Eduard Murani; Klaus Wimmers
Journal:  Front Genet       Date:  2019-04-17       Impact factor: 4.599

4.  Accuracy of proton magnetic resonance for diagnosing non-alcoholic steatohepatitis: a meta-analysis.

Authors:  Tae-Hoon Kim; Chang-Won Jeong; Hong Young Jun; ChungSub Lee; SiHyeong Noh; Ji Eon Kim; SeungJin Kim; Kwon-Ha Yoon
Journal:  Sci Rep       Date:  2019-10-18       Impact factor: 4.379

5.  Identification of potential metabolic biomarkers in predicting esophageal varices needing treatment in patients with liver cirrhosis.

Authors:  Chung-Man Moon; Yun-Young Lee; Suk-Hee Heo; Sang-Soo Shin; Yong-Yeon Jeong
Journal:  Sci Rep       Date:  2021-10-04       Impact factor: 4.379

  5 in total

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