- Research Paper
- Open Access
Gene expression modifications in the liver caused by binge drinking and S-adenosylmethionine feeding. The role of epigenetic changes
© Springer-Verlag 2009
Received: 24 July 2009
Accepted: 22 October 2009
Published: 4 December 2009
Chronic ethanol ingestion, achieved by feeding ethanol at a constant rate using intragastric tube feeding, alters the expression of genes in the liver. This is done by epigenetic mechanisms, which depend on the blood alcohol levels at the time of killing. However, acute bolus feeding of ethanol changes gene expression without lasting epigenetic changes. This occurs with histone 3 methylation and acetylation modifications. The gene expression response to an acute bolus of ethanol might be modified by feeding S-adenosylmethionine (SAMe), a methyl donor. In the present study, rats were given a bolus of ethanol (6 g/kg body weight (bw), SAMe (1 g/kg bw), ethanol + SAMe, or isocaloric glucose. The group of rats (n = 3) were killed at 3 and 12 h post bolus, and gene microarray analysis was performed on their liver cells. SAMe reduced the 3 h blood ethanol levels and increased the ALT levels at 3 h. Venn diagrams showed that alcohol changed the expression of 646 genes at 3 h post bolus and 586 genes at 12 h. SAMe changed the expression of 1,012 genes when fed with ethanol 3 h post ethanol bolus and 554 genes at 12 h post ethanol bolus. SAMe alone changed the expression of 1,751 genes at 3 h and 1,398 at 12 h. There were more changes in gene expression at 3 h than at 12 h post ethanol when ethanol alone was compared to the dextrose control. The same was true when SAMe was compared to SAMe + ethanol. Ethanol up regulated gene expression in most functional pathways at 3 h. However, when SAMe was fed with ethanol at 3 h, most pathways were down regulated. At 12 h, however, when ethanol was fed, the pathways were half up regulated and half down regulated. The same was true when SAMe + ethanol was fed. The expression of epigenetically important genes, such as BHMT and Foxn3, was up regulated 3 h post alcohol bolus. At 3 h, SAMe down regulated the expression of genes, such as BHMT, Mat2a, Jun, Tnfrs9, Ahcy 1, Tgfbr1 and 2, and Pcaf. At 12 h, the insulin signaling pathways were half down regulated by ethanol, which was partly prevented by SAMe. The MAPK pathway was up regulated by ethanol, but SAMe did not prevent this. In conclusion, profound changes in gene expression evolved between 3 h and 12 post ethanol bolus. SAMe down regulated these changes in gene expression at 3 h, and less so at 12 h.
Characteristically, it takes many years of alcohol abuse before alcoholic liver disease becomes manifest. Short-term binge drinking does not induce liver injury beyond a transient fatty liver. The question then is what changes occur in the liver that would explain the switch from transient fatty liver to progressively severe liver damage, culminating in cirrhosis and eventually, in some cases, to hepatocellular carcinoma. Recently, evidence for the role of epigenetic memory has emerged as a phenomenon, which could be a factor in the progression from transient fatty liver to more advanced alcoholic liver diseased. Data indicates that the changes in gene expression, observed after binge drinking, differ considerably from those observed after chronic ethanol ingestion in the rat intragastric feeding model of alcohol liver disease . Comparisons of gene microarray analyses between the acute and chronic models, including high and low blood alcohol levels, showed little homology . Gene expression was mainly up regulated 3 and 12 h after an acute bolus of ethanol. After 1 month of continuous ethanol feeding (13 g/kg body weight/day), gene expression was similar to controls at low blood alcohol levels, but markedly up regulated when blood alcohol levels were high. This indicated that the gene expression program had changed to adapt to ethanol. But at high blood alcohol levels, this adaptation program was over ridden due to epigenetic changes in gene transcription regulation not evident during binge drinking. The epigenetic changes present during chronic ethanol feeding, not present during binge drinking, included an increase in H3K18ac, which activates gene expression; an increase in H3K27me3, which silences gene expression; an increase in H3K9ac, which activates gene expression; and an increase in H3K4me2, which activates gene expression [1, 2]. Two enzymes, involved in epigenetic changes, were increased after chronic feeding: (1) p300 protein levels were increased after chronic ethanol feeding . p300 is a histone acetyltransferase (HAT) that acetylates histones, which leads to the activation of gene expression ; (2) Sirt1, a deacetylase, was increased after chronic ethanol feeding [1–3]. Deacetylation of histones leads to inactivation of gene expression. The role of epigenetic reprogramming of gene expression in the liver in response to ethanol feeding has recently been reviewed .
In the present study, S-adenosylmethionine (SAMe), a methyl donor, was fed with a bolus of ethanol to find out if DNA/Histone methylation would prevent the changes in gene expression during binge drinking in the rat. In a prior study on mice acutely fed a liver toxin, SAMe feeding prevented the toxic effects of the drug by preventing demethylation of histones . Therefore, we expected that SAMe donation of methyl groups to methylate histones would silence gene expression that normally would be up regulated by binge drinking .
Animal model of alcoholic liver disease
Effects of acute ethanol treatment (6 g/kg body weight, bolus) at 3 and 12 h, with and without SAMe
453.33 ± 56.66
347.86 ± 68.03
50.75 ± 2.9
41.25 ± 3.1
33.4 ± 15.5
29 ± 17.39
54 ± 3.2
50 ± 4
Ethanol + SAMe
Dextrose + SAMe
123 ± 48
138 ± 60
142 ± 67
50 ± 4
Ethanol + SAMe
Dextrose + SAMe
51 ± 24
39 ± 63
66 ± 24
62 ± 32
Liver tissues from rats fed ethanol, SAMe, or dextrose were subjected to microarray analysis. Total liver RNAs were extracted with Ultraspec™ RNA Isolation Systemic (Biotecx Laboratories, Houston, TX), and were cleaned up with Rneasy columns (Qiagen, Valencia, CA). Microarray analyses, performed on rats fed ethanol alone, were taken from a previously reported study . Five micrograms of total RNA were used for preparing biotin-labeled cRNA. Labeled and fragmented cRNA was subsequently hybridized to rat or human Genome Array (Affymetrix, Santa Clara, CA). Labeling, hybridization, image scanning, and initial data analysis were performed at the Microarray Core at Los Angeles Biomedical Research Institute. For sample preparation and loading, an equal amount of RNA (5 μg each) from each sample was used for Affymetrix GeneChip analysis. RNA was converted to cDNA using GeneChip® One-Cycle cDNA Synthesis Kit (Affymetrix, Santa Clara, CA), and then converted to biotinylated cRNA using GeneChip® IVT Labeling Kit (Affymetrix, Santa Clara, CA). The quality of labeled RNA was confirmed with the Affymetrix or Test 3 Array. The biotinylated cRNA from all samples was hybridized to Affymetrix Rat GeneChip arrays. To perform the hybridization and staining, the hybridization cocktail was prepared, which included controls of the fragmented cRNA. The samples were hybridized in the array at 45°C for 17 h using GeneChip Hybridization Oven 640. Immediately following hybridization, the array underwent an automated washing and staining protocol (R-Phycoerythin Streptavidin conjugated, Molecular Probes, Invitrogen Corp., Carlsbad, CA) on the GeneChip Fluidics Station 400. The array was then scanned with a GeneChip Scanner 3000 (Affymetrix, Santa Clara, CA).
Data preparation, analysis, and integration were performed using Affymetrix’s GeneChip Operating Software (GCOS). The software was used to perform image processing, evaluation of data quality, normalization, transformation, and filtering, so that data would be ready for further analysis. Wilcoxon’s signed rank test was used in comparison analysis to derive biologically significant results from the raw probe cell intensities on expression arrays. For comparison analysis, each probe set on the experiment array was compared with its counterpart on the control array to calculate the change in P value used to generate the difference call of increase (I; P < 0.04), marginal increase (MI; P < 0.04 to P < 0.06), decrease (D; P > 0.997), marginal decrease (MD; P > 0.992 to P > 0.997), or no change (NC: P > 0.06 to P < 0.997). Comparison analysis was used to generate a signal log ratio for each probe prior to the experimental array to the corresponding probe pair on the control array. This strategy cancels out differences resulting from different probe finding coefficients. Signal log ratio was computed by using a one-step Tukey’s biweight method by taking a mean of the log ratio of probe pair intensities across the two arrays.
Once the absolute and comparison data files were created in GCOS, genes were identified with signal intensity differences using BULLFROG v12.3 TG Lockhart and Lockhart, (San Diego, CA) and GeneSpring Silicon Genetics, Agilent Technologies, (Santa Clara, CA). In the BULLFROG analysis, the pair-wise comparisons were used to find consistent differences among all of the samples compared. The criteria used were as follows: a change call of increase/marginal increase or decrease/marginal decrease, fold change >1.7, and a present call in at least one of the arrays. In GeneSpring, the probes were first normalized using “Peer Gene: Normalize to median.” Next, transcripts were determined to be differentially expressed based on the following criteria: a change call of increase, marginal increase, decrease, or marginal decrease with a change P value <0.006 or >0.994, a signal log ratio <−0.8 or >0.8, a present call for the probe set in either or both experimental conditions, and a minimum signal intensity of 50 of a probe in either or both of the experimental files.
After generating a list of differentially expressed genes, down stream analysis was performed. The filtered transcripts were clustered in GeneSpring using SOM, K-means, and GeneTree to find similar patterns of gene expression. The lists of transcripts were also uploaded into GenMapp (Gene MicroArray Pathway Profiler, Gladstone Institutes University of California at San Francisco). GenMapp clusters the transcripts based on biological function.
The data illustrated were obtained by using the KEGG web site (http://www.genome.ip/kegg/pathway.html) and blasting the list of total changed genes issued from our experiment for analysis. The website calculates the number of up regulated and down regulated genes for each pathway shown in the KEGG graph. To determine the percent gene change in each pathway, the number of changed genes present in each pathway was divided by the total number of genes in the same pathway.
The same calculation was performed in the ABI panther website (http://www.pantherdb.org/genes) to illustrate the pie chart. To determine the percent gene change in each pathway, the number of genes present in each pathway was divided by the total number of changed genes.
Animal feeding experiment (Table 1)
The effect of S-adenosylmethionine (SAMe) on the acute ethanol bolus was measured. Eight groups of rats were studied (n = 3), i.e., (ethanol + SAMe; dextrose + SAMe 3 h); (ethanol + SAMe; dextrose + SAMe 12 h); (ethanol or dextrose 3 h); (ethanol or dextrose 12 h) (see Table 1).
At 3 h post ethanol bolus, SAMe changed the expression of 1,751 genes, when compared to the dextrose controls (Fig. 1). Ethanol + SAMe at 3 h changed the expression of 646 genes when compared with dextrose, and 1,012 genes when compared to ethanol alone (Fig. 1).
At 12 h post ethanol bolus, SAMe changed the expression of 1,398 genes, when compared with dextrose controls, and ethanol + SAMe changed the expression of 554 genes, when compared to ethanol alone. Ethanol changed the expression of 586 genes, when compared to the dextrose controls (Fig. 1). Note that there were more changes in gene expression after 3 h post ethanol bolus than after 12 h. This was true for the effect of SAMe alone, ethanol alone, and ethanol + SAMe.
Gene expression changes post 3 h ethanol bolus and the effects of SAMe on these changes
Alcohol + SAMe vs. Alcohol
SAMe vs. Dextrose
Alcohol vs. Dextrose
Aldehyde dehydrogenase 6
Insulin-like growth factor binding protein
Foxhead box N3
TNF receptor 9
S-adenosylmethyl transferase hydrolase
TGF beta receptor 1
p300/cBP associated factor
Retinoid X receptor alpha
TGF beta receptor
IgF 2 receptor
H2A histone Y2
Sterol regulatory eleven binding factor
Fatty acid synthase
Alcohol dehydrogenase 4
Foxhead box A2
Foxhead box K2
Histone deacetylase 2
Foxhead box 1 a
Foxhead box p1
Gene expression changes 12 h post ethanol bolus and the effects of SAMe on these changes
Alcohol + SAMe vs. Alcohol
Dextrose + SAME vs. Dextrose
Cytochrome p450 1a1
Cytochrome p450 17A1
Chemokine legand 1
Growth arrest and DNA damage 45b
Cytochrome p450 7a 1
Glutathionine S-transferase a2
Growth arrest and DNA damage 45q
Fatty acid binding protein 4
MAP kinase-threonine kinase 2
Adiponectin receptor 2
Janus kinase 3
Alcohol dehydrogenase 1
Cytochrome p450 4a1
Signal transdura activator transcription 3
Jun B oncogene
Tissue inhibitor metalloproteinase 2
Histone aminotransferase 1
Aldehyde dehydrogenase 5
Forehead box AZ
Histone deacetylase 2
Betaine homocysteine methyltransferase
Aldehyde dehydrogenase 1
Comparison of fold changes post 12 h ethanol bolus and control (n = 3)
Early response gene
Insulin-like growth factor binding p
Fibroblastic growth factor-21
Chemokine legand 1
LPS binding protein
Forkhead box A3
Fatty acid binding protein 4
Kruppel-like factor 12
Jun B oncogene
Heat shock 70 kDa protein 9A
Hepatocyte growth factor
Connective tissue growth factor
Janus kinase 3
Aldehyde dehydrogenase 1
Histone deactylase 11
Fatty acid synthase
Growth arrest and DNA damage 45c
Sterol regulator element bf1
Selected genes where the expression changed at 3 and 12 h post ethanol bolus
early growth response 1
insulin-like growth factor binding protein 1
S100 calcium binding protein AS (calgranulin
fibroblast growth factor 21
chemokine (C-X-C motif) ligand 12
interleukin 1 receptor, type I
FK506 binding protein 5
forkhead box A3
signal transducer and activator of transcription
cyclin-dependent kinase inhibitor 1A
connective tissue growth factor
G protein-coupled receptor 116
junction adhesion molecule 2
nuclear transcription factor-Y beta
zinc finger protein 354A
protein tyrosine phosphatase, receptor-type,
glutamate cysteine ligase, modifier subunit
Prostaglandin E receptor 3 (subtype EP3)
epidermal growth factor receptor
fatty acid synthase
D site albumin promoter binding protein
stearoyl-Coenzyme A desaturase 1
In a review, Zakhari and Li  stated that “an understanding of the role of the quantity and frequency of alcohol consumed… is essential for appreciating both short-term and long-term effects of alcohol in liver pathogenesis…” They were referring to human alcoholic liver disease, but this kind of data is difficult, if not impossible, to obtain in humans. That is why rats fed a defined diet with pair feeding were used in the present study. The results reported here provide a large data base regarding changes in gene expression in a binge drinking model, previously compared with data from a chronic ethanol feeding model done when blood ethanol levels were either high or low . The pattern of gene expression differed between the binge drinking and chronic ethanol feeding models. Here, it is shown that the pattern of gene expression varied between 3 and 12 h post ethanol gavage. These differences in gene expression changes can be changes appreciated when the KEGG functional pathways (Figs. 2 and 4) as well as changes in expression in individual genes are compared in Tables 2 and 4. Already published heat maps at 3 vs. 12 h as well as changes in the expression of genes at 3 and 12 h were compared . The methyl donor, S-adenosylmethionine (SAMe), prevented the changes in gene expression at 3 h, but not at 12 h post ethanol bolus, indicating that gene silencing induced by SAMe was transient. The results indicate that the gene expression programming induced by acute ethanol ingestion persisted for at least 12 h.
In previous studies, no change in H3K9ac, H3K18ac, p300 (HAT), HDAC2, H3K4me2, or H3K27me3, at 3 and 12 h post ethanol bolus, was found . Only the methylation of DNA was reduced at post 12 h post ethanol bolus . Others have found that in an in vitro experiment where primary hepatocyte culture was exposed to 50 and 100 mm of ethanol, H3K9me3 was decreased and H3K4me3 was increased . These results differed from the data obtained on chronic ethanol fed rats where p300 was increased at peak blood alcohol levels, as was H3K9ac . These results lead to the hypothesis that persistent epigenetic changes in gene expression only become manifest after chronic ethanol ingestion.
SAMe treatment effectively prevented the gene expression changes induced by the ethanol bolus at 3 h, but not at 12 h. SAMe, in fact, caused a marked global down regulation of gene expression only 3 h post ethanol bolus, but not at 12 h post ethanol bolus. This response suggests that SAMe methyl donor silencing of gene expression was short lived and was quickly reversed. This supports the concept that epigenetic changes in gene expression require chronic exposure before the changes are permanent.
SAMe treatment of drug primed mice prevented Mallory–Denk body (MDB) formation . In that model, decreased trimethylation of H3K9 and H3K4 and methylation of DNA were related to changes in gene expression and MDB formation . The changes in H3K9 and H3K4 were prevented by SAMe treatment, as were the changes in gene expression and MDB formation (5). The level of histone methyl transferase SUV39H1 that methylates H3K9 was reduced and SAMe also prevented this effect of the drug . SAMe also prevented an increase in the level of the histone methyltransferase SET4/9 induced by the drug . SET7/9 regulates the methylation of H3K4.
It is difficult to find hard evidence on the pharmacokinetics of SAMe in the liver in vivo. It is speculated that SAMe is unstable, whereas methylthioadenosine (MTA) derived from SAMe is not . Treatment with SAMe doubles MTA and S-adenosyl-homocysteine (SAH) levels . In vitro studies, where RAW cells were treated with different doses of SAMe, increased the levels of SAMe, MTA, and SAH in a dose dependent manner . Extracellular culture media after 20 h of incubation retained 37% as SAMe and 27% as MTA .
In the case of the chronic ethanol-induced decrease in DNA and histone methylation, it is likely that these changes can be prevented by SAMe treatment . Likewise, LPS toxicity increases binding of trimethylated H3K4 to the iNOS and TNFα promoter, and this is blocked by SAMe treatment by inhibiting the trimethylated H3K4 binding to their promoter response element. In this way, SAMe inhibits the proinflammatory response, which is seen in alcoholic liver disease [9, 10].
- Bardag-Gorce F, French B, Li J, Dedes J, French SW (2009) Chronic Ethanol feeding alters hepatocyte memory which is not altered by acute feeding. Alcoholism Clin Exp Res 33:684–692View ArticleGoogle Scholar
- Bardag-Gorce F, French BA, Joyce M, Baires M, Montgomery RO, Li J, French SW (2007) Histone acetyltransferase p300 modulates gene expression in an epigenetic manner at high blood alcohol levels. Exp Mol Pathol 82:197–202View ArticlePubMedGoogle Scholar
- Oliva J, French BA, Li J, Bardag-Gorce F, Fu P, French SW (2008) Sirt is involved in energy metabolism. The role of chronic ethanol feeding and resveratrol. Exp Mol Pathol 85:155–159View ArticlePubMedGoogle Scholar
- Shukla SD, Velazquez J, French SW, Lu SC, Ticku MK, Zakhari S (2008) Emerging role of epigenetic in the actions of alcohol. Alcoholism Clin Exp Res 32:525–1534View ArticleGoogle Scholar
- Bardag-Gorce F, Oliva J, Villegas J, Fraley S, Amidi F, Li J, Dedes J, French B, French SW (2008) Epigenetic mechanisms regulate Mallory Denk body formation in the livers of drug-primed mice. Exp Mol Pathol 84:113–121View ArticlePubMedGoogle Scholar
- Zakhari S, Li T-K (2007) Determinants of alcohol use and abuse: Impact of quality and frequency patterns on liver disease. Hepathology 46:2032–2039View ArticleGoogle Scholar
- Pal-Bhadra M, Bhadra U, Jackson DE, Mamatha L, Park P, Shukla SD (2007) Ethanol and chromatin remodeling histone H3 methylation at lys-4 and lys-9 correlates with up and down regulation of genes in rat hepatocytes. Alcoholism Clin Exp Res 31:13AView ArticleGoogle Scholar
- Li J, Bardag-Gorce F, Dedes J, French BA, Amidi F, Oliva J, French SW (2008) S-adenosylmethionine prevents Mallory Denk body formation in drug-primed mice by inhibiting the epigenetic memory. Hepatology 47:613–624View ArticlePubMedGoogle Scholar
- Ara AI, Xia M, Ramani K, Mato JM, Lu SC (2008) S-adenosylmethionine inhibits lipopolysaccharide-induced gene expression via modulation of histone methylation. Hepatology 47:1655–1666View ArticlePubMedGoogle Scholar
- Gobyishvilli L, Barve S, Joshi-Barve S, Uriarte S, Song Z, McClain C (2006) Chronic ethanol-mediated decrease in cAMP primers macrophages to enhanced LPS-inducible NF-κB activity and TNF expression: relevance to alcoholic liver disease. Am J Physiol Gastrointest Liver Physiol 291:G681–G888View ArticleGoogle Scholar