Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2016 Dec;40(12):2548-2556.
doi: 10.1111/acer.13257. Epub 2016 Oct 28.

Metabolomics Analysis Revealed Distinct Cyclic Changes of Metabolites Altered by Chronic Ethanol-Plus-Binge and Shp Deficiency

Affiliations

Metabolomics Analysis Revealed Distinct Cyclic Changes of Metabolites Altered by Chronic Ethanol-Plus-Binge and Shp Deficiency

Melanie Tran et al. Alcohol Clin Exp Res. 2016 Dec.

Abstract

Background: Chronic ethanol (EtOH) consumption causes alcoholic liver disease (ALD), and disruption of the circadian system facilitates the development of ALD. Small heterodimer partner (SHP) is a nuclear receptor and critical regulator of hepatic lipid metabolism. This study aimed at depicting circadian metabolomes altered by chronic EtOH-plus-binge and Shp deficiency using high-throughput metabolomics.

Methods: Wild-type (WT) C57BL/6 and Shp-/- mice were fed the control diet (CD) or Lieber-DeCarli EtOH liquid diet (ED) for 10 days followed by a single bout of maltose (CD + M) or EtOH (ED + E) binge on the 11th day. Serum and liver were collected over a 24-hour light/dark (LD) cycle at Zeitgeber time ZT12, ZT18, ZT0, and ZT6, and metabolomics was performed using gas chromatography-mass spectrometry.

Results: A total of 110 metabolites were identified in liver and of those 80 were also present in serum from pathways of carbohydrates, lipids, pentose phosphate, amino acids, nucleotides, and tricarboxylic acid cycle. In the liver, 91% of metabolites displayed rhythmicity with ED + E, whereas in the serum, only 87% were rhythmic. Bioinformatics analysis identified unique metabolome patterns altered in WT CD + M, WT ED + E, Shp-/- CD + M, and Shp-/- ED + E groups. Specifically, metabolites from the nucleotide and amino acid pathway (ribose, glucose-6-phosphate, glutamic acid, aspartic acid, and sedoheptulose-7-P) were elevated in Shp-/- CD + M mice during the dark cycle, whereas metabolites including N-methylalanine, 2-hydroxybutyric acid, and 2-hydroxyglutarate were elevated in WT ED + E mice during the light cycle. The rhythmicity and abundance of other individual metabolites were also significantly altered by both control and EtOH diets.

Conclusions: Metabolomics provides a useful means to identify unique metabolites altered by chronic EtOH-plus-binge.

Keywords: Alcohol; Circadian Clock; Metabolomics; Nuclear Receptor.

PubMed Disclaimer

Conflict of interest statement

No conflict of interest to disclose for all authors.

Figures

Figure 1
Figure 1. Non-supervised multivariate data analysis of Metabolomics profiling
a) PLS-DA scores plot performed using two (top) or three (bottom) principal components corresponding to a model built using two or three latent variables aimed at discrimination among four groups. b) Heatmap showing differential abundance of metabolites in response to control maltose (CD+M) vs. ethanol diets (ED+E) in serum of wildtype (WT) and Shp-/- mice. Serum was collected from WT CD+M (dark blue), WT ED+E (light blue), Shp-/- CD+M (red) and Shp-/- ED+EH (green) mice over a 24h light/dark (LD) cycle at Zeitgeber time ZT12, ZT18, ZT0 and ZT6 using the Gao-binge model. A GC/MS metabolomics analysis was used to identify specific metabolite pathways.
Figure 2
Figure 2. Serum metabolites altered by maltose and ethanol diets in Shp-/- mice
a-c: Comparison of serum metabolites between wildtype (WT) and Shp-/- mice fed with control diet + maltose binge (CD+M). a) amino acid metabolites at Zeitgeber time (ZT) 12, b) nucleotide metabolites and c) amino acid metabolites over a 24h light/dark (LD) cycle. d-f: Comparison between WT and Shp-/- mice fed with ethanol diet + ethanol binge (ED+E). d) lipid metabolites at ZT12, e) ribose metabolite and f) amino acid metabolites over a 24h LD cycle. Data are represented as means ± SEM (n=3/group). * P<0.05, Shp-/- versus WT. Serum was collected from WT CD+M (black open square), WT ED+E (red open square), Shp-/- CD+M (black closed square) and Shp-/- ED+E (red closed square) mice over a 24h LD cycle at ZT12, ZT18, ZT0 and ZT6 using the Gao-binge model. A GC/MS metabolomics analysis was used to identify specific metabolite pathways.
Figure 3
Figure 3. Liver oscillatory metabolic pathways disrupted by maltose-diet in Shp-/- mice
a-d: Comparison of liver metabolites between wildtype (WT) and Shp-/- mice fed with control diet + maltose binge (CD+M). a) carbohydrate metabolites, b) pentose phosphate metabolites, c) nucleotide metabolites, and d) lipid metabolites in WT and Shp-/- mice. Data are represented as means ± SEM (n=3/group). * P<0.05, Shp-/- versus WT. Livers were collected from WT CD+M (black open square) and Shp-/- CD+M (black closed square) mice over a 24h LD cycle at Zeitgeber time ZT12, ZT18, ZT0 and ZT6. A GC/MS metabolomics analysis was used to identify specific metabolite pathways.
Figure 4
Figure 4. Liver oscillatory metabolic pathways disrupted by ethanol-diet in Shp-/- mice
a-d: Comparison of liver metabolites between wildtype (WT) and Shp-/- mice fed with ethanol diet + ethanol binge (ED+E). a) lipid metabolites, b) nucleotide metabolites, c) carbohydrate metabolites, and d) amino acid metabolites in WT and Shp-/- mice. Data are represented as means ± SEM (n=3/group). * P<0.05, Shp-/- versus WT. Livers were collected from WT ED+E (red open square) and Shp-/- ED+E (red closed square) mice over a 24h light/dark (LD) cycle at Zeitgeber time ZT12, ZT18, ZT0 and ZT6 using the Gao-binge model. A GC/MS metabolomics analysis was used to identify specific metabolite pathways.

Similar articles

Cited by

References

    1. Abbondante S, Eckel-mahan KL, Ceglia NJ, Baldi P, Sassone-corsi P. Comparative Circadian Metabolomics Reveal Differential Effects of Nutritional Challenge in the Serum and Liver. J Biol Chem. 2016;291:2812–28. - PMC - PubMed
    1. Adamovich Y, Rousso-noori L, Zwighaft Z, Neufeld-cohen A, Golik M, Kraut-Cohen J, Wang M, Han X, Asher G. Circadian clocks and feeding time regulate the oscillations and levels of hepatic triglycerides. Cell Metab. 2014;19:319–30. - PMC - PubMed
    1. Bertola A, Mathews S, Ki SH, Wang H, Gao B. Mouse model of chronic and binge ethanol feeding (the NIAAA model) Nat Protoc. 2013;8:627–37. - PMC - PubMed
    1. Chase RA, Davis M, Trewby PN, Silk DBA, Williams R. Plasma amino acid profiles in patients with fulminant hepatic failure treated by polyacrylonitrate membrane hemodialysis. Gastroenterology. 1978;78:1033–40. - PubMed
    1. Datta S, Wang L, Moore DD, Osborne TF. Regulation of 3-hydroxy-3-methylglutaryl coenzyme A reductase promoter by nuclear receptors liver receptor homologue-1 and small heterodimer partner: a mechanism for differential regulation of cholesterol synthesis and uptake. J Biol Chem. 2006;281:807–12. - PubMed

Publication types

Substances