Figures
Abstract
In this study, gestational sows were fed control or betaine-supplemented diets (3 g/kg) throughout the pregnancy, and the newborn piglets were used to elucidate whether maternal dietary betaine affected offspring hepatic gluconeogenic genes through epigenetic mechanisms. Neonatal piglets born to betaine-supplemented sows had significantly higher serum and hepatic betaine contents, together with significantly greater expression of methionine metabolic enzymes in the liver. Interestingly, significantly higher serum concentrations of lactic acid and glucogenic amino acids, including serine, glutamate, methionine and histidine, were detected in the piglets born to betaine-supplemented sows, which were coincident with higher hepatic glycogen content and PEPCK1 enzyme activity, as well as greater protein expression of gluconeogenic enzymes, pyruvate carboxylase (PC), cytoplasmic phosphoenolpyruvate carboxykinase (PEPCK1), mitochondrional phosphoenolpyruvate carboxykinase (PEPCK2) and fructose-1, 6-bisphosphatase (FBP1). Moreover, maternal betaine significantly changed the methylation status of both CpGs and histones on the promoter of gluconeogenic genes. The lower PEPCK1 mRNA was associated with DNA hypermethylation and more enriched repression histone mark H3K27me3, while the up-regulated PEPCK2 and FBP1 mRNA was associated with DNA hypomethylation and more enriched activation histone mark H3K4me3. Furthermore, the expression of two miRNAs predicted to target PC and 6 miRNAs predicted to target PEPCK1 was dramatically suppressed in the liver of piglets born to betaine-supplemented sows. Our results provide the first evidence that maternal betaine supplementation affects hepatic gluconeogenic genes expression in newborn piglets through enhanced hepatic methionine metabolism and epigenetic regulations, which involve DNA and histone methylations, and possibly miRNAs-mediated post-transcriptional mechanism.
Citation: Cai D, Jia Y, Song H, Sui S, Lu J, Jiang Z, et al. (2014) Betaine Supplementation in Maternal Diet Modulates the Epigenetic Regulation of Hepatic Gluconeogenic Genes in Neonatal Piglets. PLoS ONE 9(8): e105504. https://doi.org/10.1371/journal.pone.0105504
Editor: Kartik Shankar, University of Arkansas for Medical Sciences, United States of America
Received: March 2, 2014; Accepted: July 24, 2014; Published: August 25, 2014
Copyright: © 2014 Cai et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by the National Basic Research Program of China (2012CB124703), the Special Fund for Agro-scientific Research in the Public Interest (201003011), the Fundamental Research Funds for the Central Universities (KYZ200913), the Priority Academic Program Development of Jiangsu Higher Education Institutions and the Innovation Project of Jiangsu Province Postgraduate Education (2013CXLX13_292). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Gluconeogenesis is an important metabolic pathway for endogenous glucose generation from substrates such as lactic acid and glucogenic amino acids [1]. Under certain circumstances, such as prolonged starvation, exercise or stress, gluconeogenesis is critical for the disposal of lactate and the maintenance of glucose homeostasis [2]. For newborns before suckling, gluconeogenesis has special physiological significance as it is the major source of glucose needed to confront parturition stress and to maintain tissue functions [3].
The rate of gluconeogenesis is controlled by key enzymes including pyruvate carboxylase (PC), phosphoenolpyruvate carboxykinase (PEPCK1) (cytosolic PEPCK1 and mitochondrial PEPCK2), fructose-1, 6-bisphosphatase (FBP1), and glucose 6-phosphatase (G6PC) [4]. A slew of studies have demonstrated that these gluconeogenic enzymes are highly vulnerable to maternal nutrition [5], [6]. Furthermore, the nutritional programming of offspring gluconeogenesis involves epigenetic regulations such as DNA methylation, histone modifications and microRNA-mediated post-transcriptional regulation [7]. Methyl donors, such as methionine or folic acid, are able to reverse the epigenetic modifications and thereby restore the behavioral or metabolic disorders in offspring caused by prenatal or neonatal adverse experiences [8], [9].
Betaine functions as a methyl donor to convert homocysteine to methionine in a reaction catalyzed by betaine homocysteine methyltransferase (BHMT) [10]. Methionine is then converted to S-adenosylmethionine (SAM) by methionine adenosyl transferase (MAT) [11]. SAM acts as a methyl donor for DNA and protein methylation which is critical for the epigenetic regulation of gene expression. After donating its methyl group to acceptor molecules, SAM is converted to S-adenosylhomocysteine (SAH) which is then hydrolyzed to homocysteine by S-adenosylhomocysteine hydrolase (AHCY). It has been shown that SAM: SAH ratio affects DNA methylation in general and elevated SAM: SAH ratio correlates with global DNA hypermethylation [12].
Betaine is derived from either choline oxidation or dietary intake, and is critical for embryonic and fetal development [13]. Betaine deficiency is associated with a number of metabolic disorders [13]. Dietary supplementation of betaine can prevent obesogenic diet-induced hepatic steatosis and reduce obesogenic diet-induced fatty liver [14]–[16]. Betaine supplementation also improves the growth performance and carcass characteristics in domestic animals [17], [18], yet the mechanisms remain unclear. It is suggested that the hepatoprotection of betaine may be achieved through its effect on hepatic gluconeogenesis [19]. However, direct evidence regarding the effects of betaine on hepatic gluconeogenesis is lacking. Moreover, the effect of betaine supplementation in maternal diet during gestation on hepatic gluconeogenesis in neonatal offspring has not been investigated.
Therefore, here we use pigs as model to investigate whether feeding gestational sows with betaine-supplemented diet may affect hepatic gluconeogenesis in newborn piglets. To explore the possible epigenetic mechanisms underlying such effects, we detected hepatic expression of genes involved in gluconeogenesis and methionine metabolism, as well as the status of DNA methylation and histone modifications on the promoter of gluconeogenic genes, together with the expression of microRNAs which are predicted to target gluconeogenic genes in the liver of neonatal piglets.
Materials and Methods
Animals and samples
Landrace×Yorkshire crossbred sows in the second parity were artificially inseminated, at the observation of estrus, with a mixture of Duroc semen samples obtained from two littermate boars. One week after the artificial insemination, sows were randomly divided into control and betaine groups (8 per group). Sows in control group received basal diet while those in betaine group were fed betaine-supplemented (3 g/kg) diet throughout the pregnancy. Betaine was in the form of betaine hydrochlorides with 98% purity, purchased from SKYSTONE FEED CO., LTD (Jiangsu, China). The diet composition is shown in Table S1. All sows were housed at 25°C with 50% of humidity on a 12 h/12 h light/dark cycle. Sows were fed three times a day at 05:00, 10:00 and 17:00 h, and had free access to water. Newborn piglets were individually weighed immediately after parturition. The piglets of the same litter were kept together in the warm creep area. There were altogether 16 litters of piglets, 8 litters in each group. One male and one female piglet of the mean body weight (± 10%) were selected from each litter and exsanguinated before suckling. Blood was collected immediately and the liver (without the gall bladder) was harvested within 20 min, snap-frozen in liquid nitrogen, and stored at -80°C for further analysis.
The experimental protocol was approved by the Animal Ethics Committee of Nanjing Agricultural University, with the project number 2012CB124703. The slaughter and sampling procedures complied with the “Guidelines on Ethical Treatment of Experimental Animals” (2006) No. 398 set by the Ministry of Science and Technology, China.
Serum concentration and hepatic content of betaine
Frozen serum and liver samples of the newborn piglets were shipped to the China National Feed Quality Control Center, Chinese Academy of Agricultural Sciences, Beijing, China and were prepared for the determination of betaine as described previously [20]. Betaine concentrations in serum and liver samples were measured with an liquid chromatography (Aglient 1200, Aglient Techologies)–mass spectrometry (API 5000TM, AB SCIEX) system optimized for the measurement of betaine in animal samples.
Serum biochemical metabolites, hormones and amino acids profile
Serum concentrations of biochemical metabolites, including glucose and lactic acid, were detected with the enzymatic colorimetric methods using commercial kits for glucose (no. 6006, Shanghai Rongsheng Biotech) and lactic acid (no. A019, Nanjing Jiancheng Bioengineering Institute). Serum concentrations of insulin and glucagon were measured with respective commercial RIA kits (nos. F01PZB and F03PZB, Beijing North Institute of Biological Technology) with assay sensitivities of 0.29 pmol/L and 16.1 ng/L, respectively. The intra- and inter-assay variations were 10 and 15%, respectively, for both assays.
Serum samples for measuring the free amino acids concentrations were prepared according to a previous publication [21]. Serum concentrations of free amino acids were determined with an automatic amino acid analyzer (L-8900, Hitachi, Japan) in duplicate. The intra- and inter-assay coefficients of variation were 3 and 6%, respectively.
Liver glycogen content
The hepatic glycogen content was determined as previously described [22]. The results are expressed as mg glycogen/g liver (wet weight).
Real-time RT-PCR for mRNA quantification
Total RNA was isolated from liver samples using TRIzol Reagent (no. 15596026, Invitrogen) according to the manufacturer's instruction and reverse transcribed with the PrimeScript 1st Strand cDNA Synthesis kit (no. D6110A, Takara). Two microliters of diluted cDNA (1∶25) were used in each real-time PCR assay with Mx3000P (Stratagene). It is a routine practice to confirm the absence of genomic DNA contamination in samples used for Real Time PCR analysis. Firstly, RNA samples were treated with DNase before reverse transcription to cDNA; secondly, DNase-treated RNA samples were directly used as template for QPCR to ensure that there was no specific amplification; thirdly, primers were designed to span an intron so any genomic DNA contamination can be easily reported by an extra PCR product in melting curve analysis. Peptidylprolyl isomerase A (PPIA) was chosen as a reference gene, because it is expressed in similar abundance to the genes of interest and its expression was not affected by the experimental factor. All primers were synthesized by Generay Biotech and listed in Table S4.
Western Blotting for protein quantification
Liver samples were homogenized in RIPA buffer (50 mM Tris-HCl pH 7.4, 150 mM NaCl, 1% NP40, 0.25% Na-deoxycholate, 1 mM PMSF, 1 mM sodium orthovanadate with Roche EDTA-free complete mini protease inhibitor cocktail, no. 11836170001). Protein concentrations were determined with a Pierce BCA Protein Assay kit (no. 23225, Thermo). Western-blot analysis for target proteins was carried out according to the protocols provided by the primary antibody suppliers. The sources of the primary antibodies used in Western blotting are listed in Table S5. GAPDH or β-actin was selected as loading control.
Enzyme assay for PEPCK1 activity
Hepatic PEPCK1 enzyme activity was detected as previously described with minor modifications [23]. In brief, 0.5 g liver tissue was homogenized in the lysis buffer (0.25 mol/L sucrose and 5 mmol/L Tris-HCl, pH 7.4) at 4°C. The liver lysates were centrifuged at 3500 g for 15 min, and the supernatant was collected for a further centrifugation (11000 g) for 40 min. Cytosolic supernatant containing 0.2 mg of total protein was added to a 1 mL reaction buffer (50 mmol/L Tris-HCl, 50 mmol/L NaHCO3, 1 mmol/L MnCl2, 1 mmol/L phosphoenolpyruvate, 2 U malate dehydrogenase, and 0.25 mmol/L tinamide adenine dinucleotide. Finally, 2′-deoxyguanosine 5′-diphosphate at a 0.15 mmol/L concentration was added to start the reaction, and the decrease in absorbance at 340 nm in 4 min was measured.
Methylated DNA immunoprecipitation (MeDIP) analysis
High-quality genomic DNA isolated from liver was sonicated to produce small fragments ranging from 300 to 1000 bp. Two micrograms of fragmented DNA were heat denatured to produce single-stranded DNA. A mouse monoclonal antibody against 5-methyl cytidine (ab10805, Abcam) was used to immunoprecipitate the methylated DNA fragments. The immune complexes were captured with protein G agarose beads (40 µL, 50% slurry, pretreated with denatured salmon sperm DNA and BSA, sc-2003, Santa Cruz Biotechnology). The beads bound to immune complexes were washed to eliminate nonspecific binding and resuspended in 250 µL digestion buffer containing proteinase K. Finally, the MeDIP DNA was purified. A small aliquot of MeDIP DNA was used to amplify the proximal promoter sequences of the target genes by real-time PCR. A pair of negative control primers is used to amplify a fragment of FBP1 promoter absent of CpG sites. MeDIP results were calculated relative to the negative control and presented as the fold change relative to the average value of control group. The specific and negative control primers were designed with Primer 5 software and shown in Table S4.
Chromatin immunoprecipitation (ChIP) assay
ChIP analysis was performed according to our previous publication [24] with some modifications. Firstly, frozen liver samples (approximate 200 mg) were ground in liquid nitrogen and resuspended with PBS containing protease inhibitor cocktail (no. 11697498001, Roche). Formaldehyde was added to a final concentration of 1% for cross-linking protein and DNA, then glycine was added (2.5 mol/L) to stop the reaction at room temperature. Following centrifugation, the pellets were rinsed with PBS and lysed in SDS lysis buffer containing protease inhibitors. The crude chromatin preparations were sonicated to an average length ranging from 200 to 500 bp and precleared with salmon sperm DNA-treated protein G agarose beads (40 µL, 50% slurry, sc-2003, Santa Cruz Biotechnology). The precleared chromatin preparations were incubated with 2 µg of respective primary antibody overnight at 4°C (Antibodies information is shown in Table S5). A negative control was included with normal rat IgG. Protein G agarose beads (40 µL, 50% slurry, sc-2003, Santa Cruz Biotechnology) were added to capture the immunoprecipitated chromatin complexes. Finally, DNA fragments were released from the immunoprecipitated complexes via reverse cross-linking at 65°C for 1 h and were purified. Immunoprecipitated DNA was quantified by real-time PCR. Also, CpG islands were predicted in the porcine gluconeogenic gene promoters by Sequence Manipulation Suite [25]. Possible transcriptional factors binding sites were predicted by TRANSFAC 6.0. (GR) and glucocorticoid receptor-element (GRE) sites were predicted on each promoter region of relative genes. All the specific primers were shown in Table S4.
Quantification of miRNAs targeting PC and PEPCK1
Two micrograms of total RNA treated with RNase-free DNase I (Promega) was polyadenylated by poly (A) polymerase using Poly (A) Tailing Kit (AM1350, Applied Biosystems, USA) according to the manufacturer's instruction. Polyadenylated RNA was then dissolved and reverse transcribed using poly (T) adapter. Real-time PCR was performed with SYBR green qPCR master mix reagent (TaKaRa, Japan) in triplicates with a miRNA specific forward primer and a universal reverse primer complementary to part of the poly (T) adapter sequence. U6 small nuclear RNA (U6 snRNA) was used as a reference gene to normalize the expression of miRNAs.
Because the 3'UTR sequence of porcine PC gene has not been reported, we aligned the 3′ flanking sequence of this gene with the 3'UTR sequence of human PC gene to obtain the consensus sequence for miRNA prediction using an online miRNAs prediction tool, PITA algorithm, with the threshold of score set at -10 [26]. Twenty miRNAs were predicted to target PC and 15 miRNAs predicted to target PCK1. Among all these predicted miRNAs, 7 miRNAs for each gene were reliably and repeatedly quantified in real-time PCR. The primer sequences used for miRNAs analysis are listed in Table S6
Statistical analysis
Data are presented as means ± SEM. When males and females were analyzed separately, control for litter was not necessary because they were all from different litters. Since none of the detected parameters showed sex disparity, we pooled male and female together making n = 16 for each group. Comparisons were made using two-tailed Student's t test for independent data. The 2−△△Ct method was used to analyze real-time PCR data. The relative quantifications of mRNA, protein, CpG methylation, histone modifications, and miRNA were expressed as the fold change relative to the mean value of control group. All experiments were carried out in triplicate. The differences were considered statistically significant when P<0.05.
Results
Reproductive performance and serum glucogenic amino acids concentration of sows
Maternal betaine supplementation had no effects on litter size or litter weight (Table S2). Serum concentrations of glucogenic amino acids, including serine, glutamate, methionine and histidine, in sows were not affected by dietary betaine supplementation. Serum arginine concentration was below the detection limit (Table S3).
Serum concentrations of betaine, hormones and metabolites in piglets
Piglets born to betaine-supplemented sows exhibited significantly higher serum betaine concentration (P<0.05) as compared to their control counterparts. Body weight and liver weight did not differ, nor did the serum concentrations of glucose, insulin, glucagon or the ratio of insulin to glucagon. However, serum concentrations of lactate (P<0.05) and glucogenic amino acids (P<0.05), including serine, glutamate, methionine and histidine, were all significantly higher in piglets born to betaine-supplemented sows than that from the control group. Moreover, piglets born to betaine-supplemented sows tended to have higher (P = 0.08) serum arginine concentration (Table 1).
Hepatic betaine content and expression of methionine metabolic genes
Piglets born to betaine-supplemented sows had significantly higher betaine content (P<0.05) in the liver (Table 1), which was associated with significant up-regulation of methionine metabolic genes. BHMT and AHCYL1 were significantly up-regulated (P<0.05), while MAT2B tended to be higher (P = 0.06), at the level of mRNA (Figure 1A). In accordance with the mRNA abundance, the protein content of BHMT, AHCYL1 and MAT2B was all remarkably greater (P<0.05) in the liver of piglets born to betaine-supplemented sows (Figure 1B).
Values are means ± SEM, n = 16 (8 males plus 8 females). Different from control, *P<0.05. AHCYL1, adenosylhomocysteine hydrolase-like 1; BHMT, betaine-homocysteine methyltransferase; MAT2B, methionine adenosyltransferase II beta.
Hepatic glycogen content and PEPCK1 enzyme activity, and expression of gluconeogenic genes
Hepatic glycogen content was significantly higher (P<0.01) (Table 1), and hepatic PEPCK1 enzyme activity was 0.5 fold higher in the piglets born to betaine-supplemented sows compare to that of control piglets (Figure 2A). Accordingly, hepatic expression of gluconeogenic genes, PEPCK2 and FBP1, were significantly up-regulated (P<0.05) in the piglets born to betaine-supplemented sows, at both mRNA and protein levels (Figure 2B and C). PC and PEPCK1 were also up-regulated at protein expression (P<0.05) (Figure 2C), yet with uncoupled mRNA expression (Figure 2B). G6PC tended to be higher (P = 0.07) at the level of mRNA, but not protein, whereas PC was significantly higher (P<0.05) at the level of protein, but not mRNA, in the liver of piglets born to betaine-supplemented sows. PEPCK1 demonstrated reversed alterations for mRNA that was significantly lower (P<0.05), and protein that was significantly higher (P<0.05), in the liver of piglets born to betaine-supplemented sows (Figure 2B and C). The uncoupled mRNA and protein expression implicates possible involvement of post-transcriptional mechanism in gluconeogenic gene regulation.
Values are means ± SEM, n = 16 (8 males plus 8 females). Different from control, *P<0.05. FBP1, fructose-1, 6-bisphosphatase; G6PC, glucose-6-phosphatase; PC, pyruvate carboxylase; PEPCK1, phosphoenolpyruvate carboxykinase 1; PEPCK2, phosphoenolpyruvate carboxykinase 2.
Epigenetic modifications and GR binding of gluconeogenic gene promoters
MeDIP analysis revealed significant a hypomethylation (P<0.05) on the promoter of PEPCK2 and FBP1 genes, which was reversely correlated to the up-regulation of these two genes in mRNA expression. Interestingly, the level of CpG methylation on G6PC promoter tended to be lower (P = 0.07) in the liver of piglets born to betaine-supplemented sows corresponding to the trend of higher G6PC mRNA expression. In contrast, PEPCK1 promoter was significantly hypermethylated (P<0.05), which was in accordance with the diminished PEPCK1 mRNA expression in the liver of piglets born to betaine-supplemented sows (Figure 3A).
B: Western blotting results and relevant western blot bands of histone methyltransferases SETD7 and EZH2. C: ChIP analysis of histone modifications in the promoter of hepatic PEPCK1, PEPCK2, and FBP1 and G6PC normalized to total histone H3 respectively in newborn piglets. D: ChIP analysis of GR binding in the promoter of hepatic PEPCK1, PEPCK2, and FBP1 and G6PC. Values are means ± SEM, n = 16 (8 males plus 8 females). Different from control, *P<0.05. EZH2, enhancer of zeste homolog 2; FBP1, fructose-1, 6-bisphosphatase; G6PC, glucose-6-phosphatase; GR, glucocorticoid receptor; PEPCK1, phosphoenolpyruvate carboxykinase 1; PEPCK2, phosphoenolpyruvate carboxykinase 2; SETD7, SET domain-containing protein 7.
The enrichment of two histone modification marks, the activation mark histone H3 lysine 4 trimethylation H3K4me3 and the repression mark histone H3 lysine 27 trimethylation (H3K27me3) on the promoter of gluconeogenic genes was determined with ChIP assay using specific antibodies. The enrichment of histone marks is normalized with that of histone H3. As shown in Figure 3C, hepatic inhibition of PEPCK1 gene transcription in the piglets born to betaine-supplemented sows was associated with an increment of the repression mark H3K27me3 (P<0.05), while hepatic activation of PEPCK2, FBP1 and G6PC (Figure 3C) was accompanied with significantly more enriched activation mark H3K4me3 (P<0.05) on the promoters.
The lysine methyltransferase SETD7 which trimethylates histone H3 lysine 4 (H3K4) was significantly up-regulated (P<0.05, Figure 3B), while the lysine methyltransferase EZH2 which trimethylates H3 lysine 27 (H3K27) [27] tended to be higher (P = 0. 07, Figure 3B), in the liver of piglets born to betaine-supplemented sows at the protein level.
Besides, the ChIP assay revealed higher (P<0.05) GR binding to PEPCK2 and G6PC gene promoter in betaine-exposed piglet liver, but no difference was detected in PEPCK1 and FBP1 (Figure. 3D).
Expression of microRNAs predicted to target PC and PEPCK1
To explore whether post-transcriptional mechanisms are involved in the regulation of PC and PEPCK1, we further detected hepatic expression of miRNAs predicted to target these 2 genes. Piglets born to betaine-supplemented sows demonstrated a significant down-regulation in the hepatic expression of miRNA-184 (P<0.01) and miRNA-196b (P<0.01), which are predicted to target PC (Figure 4A), and miRNA-1403p (P<0.01), miRNA-424-3p (P<0.01), miRNA-196b (P<0.01), miRNA-370 (P<0.01), miRNA-30b-3p (P<0.05) and miRNA-92b-5p (P<0.05), which are predicted to target PEPCK1 (Figure 4B). Diminished expression of these regulatory miRNAs was in line with higher protein content of PC and PEPCK1 detected in the liver of piglets born to betaine-supplemented sows.
Values are means ± SEM, n = 16 (8 males plus 8 females). Different from control, *P<0.05 and **P<0.01. PC, pyruvate carboxylase; PEPCK1, phosphoenolpyruvate carboxykinase 1.
Discussion
Betaine serves as a substrate for the formation of methionine which is not synthesized de novo in mammals [28], and it is noted that betaine significantly elevates serum methionine level in healthy adult men [29]. Moreover, previous study has shown that betaine can be actively transported across placenta from mother to fetus [30]. In the present study, serum concentration of methionine was elevated and higher betaine concentration was detected in the serum and the liver of betaine-exposed piglets. Betaine is also reported to raise serum serine concentration through folate-dependent remethylation reaction [31]. Therefore, higher methionine and serine detected in the betaine-exposed piglets could be the direct consequences of increased betaine concentration and metabolism, whereas the higher serum levels of glutamate, histidine and arginine may attribute to subsequent methionine metabolism and related pathways [32].
It is well known that lactate and glucogenic amino acids are substrates of hepatic gluconeogenesis. In this study, betaine-exposed piglets did not show significant alteration in serum glucose level, yet hepatic glycogen content was drastically higher compared to their control counterparts. This finding is in line with the report that betaine supplementation increases hepatic glycogen content by reducing glycogen synthetic rate-limiting enzyme GSK3α in mice [19], in spite of lower glucose production. Unfortunately, we were not able to detect the mRNA expression of GSK3α gene in the liver of neonatal piglets may result from that the porcine GSK3α mRNA sequence published online is predicted. Elevated serum concentrations of gluconeogenic substrates combined with higher hepatic glycogen content point to possible activation of hepatic gluconeogenic pathway. Indeed, we detected significant up-regulation of genes encoding key gluconeogenic pathway, at mRNA or/and protein levels, which is a reflection of methyl donors and their effects on gluconeogenic genes [33], [34].
Betaine donates methyl groups for protein and DNA methylation reactions through methionine metabolic pathway [28]. Previous investigations demonstrate that betaine supplementation causes BHMT up-regulation [35], [36]. However, in this study, all the three key enzymes involved in methionine metabolism, BHMT, MAT2B and AHCYL1, were up-regulated in the liver of newborn betaine-exposed piglets. Epigenetic modifications such as DNA methylation and histone modifications, using the methyl groups, play an important role in regulating gluconeogenic genes transcription. Feeding high energy diet to female rats at conception decreases hepatic PEPCK expression in offspring through modified DNA methylation in its promoter [6]. Moreover, maternal dietary protein restriction programs hepatic G6PC gene in newborn piglets which is associated with hypomethylation of G6PC gene promoter as well as changed H3K4me3 and H3K27me3 [7]. Interestingly, in the present study, PEPCK1 gene promoter was found to be hypermethylated, whereas the promoters of PEPCK2 and FBP1 genes were hypomethylated in the liver of piglets prenatally exposed to betaine. Nevertheless, the levels of DNA methylation on promoters were reversely correlated with the mRNA abundances of respective genes.
Increased supply of methyl donors and enhanced methionine metabolism generally result in global DNA hypermethylation [37], yet do not necessarily cause hypermethylation on the promoter of all the functional genes. In this study, both hypermethylation (for PEPCK1) and hypomethylation (for PEPCK2 and FBP1) were detected on the promoter of gluconeogenic genes in the liver of piglets born to betaine-supplemented sows. In line with our results, specific CpG sites in fatty acid synthase (FASN) gene promoter was found to be hypomethylated in the liver of betaine-supplemented rats [16]. Furthermore, gestational deficiency of choline, the major precursor of betaine, induces hypomethylation of the regulatory CpGs within the DNMT1 gene, which results in the hypermethylation of global DNA [38]. These findings suggest that methyl donors modulate DNA methylation machinery in a complex gene-dependent manner.
SETD7 and EZH2 are SAM-dependent enzymes [27], [39], and suppression of SAM-dependent methylations causes reduction of SETD7 and EZH2, leading to lower level of H3K4me3 and H3K27me3 [40], [41]. Therefore, enhanced methionine metabolism may contribute to higher SETD7 and EZH2 protein contents, and the latter led to the higher enrichment of H3K27me3 in the PEPCK1 promoter together with elevated H3K4me3 in the PEPCK2, FBP1 and G6PC promoter in the present study. Moreover, it is noted that the detected CpG islands on gluconeogenic gene promoters are predicted to contain binding sites for GR and the results showed higher GR binding to hepatic PEPCK2 and G6PC gene promoters in betaine-exposed piglet. In addition, previous studies demonstrate that gene promoters of PEPCK and G6PC contain positive GRE sites [42], [43], suggesting that chromatin remodeling caused by altered DNA and histone methylation status on PEPCK2 and G6PC promoters may increase the binding of GR, thereby up-regulating the transcriptional level of the two genes.
Another interesting finding in the present study is the incongruity between the mRNA and protein levels for PC and PEPCK1 genes. PC was unchanged and PEPCK1 was even lower at mRNA levels, but both PC and PEPCK1 were greater at protein level. The dissociation of mRNA abundance and the protein content implies possible involvement of post-transcriptional regulation. MicroRNAs are known to participate predominantly in the post-transcriptional regulation through targeting mRNA degradation and/or translational repression. Previous studies indicate that miRNAs predominantly promote cleavage of mRNAs in plants [44], [45], while in animals miRNAs act mainly through translational repression [46]. Moreover, it has been reported that in animal models and cell lines, miRNAs target in principal the protein translation rather than mRNA degradation [47], [48]. Therefore, when transcriptional regulation and miRNA-mediated translational repression are not synchronized, mRNA and protein levels can be un-coupled. In this study, two out of 7 miRNAs targeting PC and 6 out of 7 miRNAs targeting PEPCK1 were dramatically suppressed in the liver of piglets born to betaine-supplemented sows, suggesting inhibition of miRNAs-mediated translation repression for these two genes. Although this finding may hint the underlying mechanisms for the mismatched mRNA and protein expression of PC and PEPCK1 genes, the roles of these miRNAs in regulating gluconeogenic genes in porcine liver await further functional verification.
In conclusion, betaine supplementation in maternal diet during gestation affects hepatic gluconeogenic genes in newborn piglets via epigenetic regulation including DNA methylation, histone modifications and miRNAs, which is associated with enhanced methionine metabolism. Neonatal changes in hepatic gluconeogenic gene expression may cause long-term consequences in glucose homeostasis later in adult life. Long-term follow-up studies are required to understand whether such fetal programming of hepatic gluconeogenic genes caused by maternal betaine supplementation is beneficial or detrimental for adult health.
Supporting Information
Table S1.
Composition and nutrient content of the experimental diet.
https://doi.org/10.1371/journal.pone.0105504.s001
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Table S2.
Reproductive performance of sows fed control or betaine supplemented diet as measured by littler size and littler weight.
https://doi.org/10.1371/journal.pone.0105504.s002
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Table S3.
Amino acids concentration in serum of sows.
https://doi.org/10.1371/journal.pone.0105504.s003
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Table S4.
Nucleotide sequences of specific primers.
https://doi.org/10.1371/journal.pone.0105504.s004
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Table S6.
miRNA and the corresponding primer sequences.
https://doi.org/10.1371/journal.pone.0105504.s006
(DOC)
Author Contributions
Conceived and designed the experiments: RZ. Performed the experiments: DC. Analyzed the data: YJ HS SS. Wrote the paper: DC. Determined serum hormone levels: JL ZJ. Contributed ideas for experimental design: YJ SS ZJ. Provided scientific direction, analyzed and interpreted the results, and finalized the manuscript: RZ.
References
- 1. Jitrapakdee S (2012) Transcription factors and coactivators controlling nutrient and hormonal regulation of hepatic gluconeogenesis. Int J Biochem Cell Biol 44: 33–45.
- 2. Corssmit EP, Romijn JA, Sauerwein HP (2001) Review article: Regulation of glucose production with special attention to nonclassical regulatory mechanisms: a review. Metabolism 50: 742–755.
- 3. Kornhauser D, Adam PA, Schwartz R (1970) Glucose production and utilization in the newborn puppy. Pediatr Res 4: 120–128.
- 4.
van Poelje PD, Potter SC, Erion MD (2011) Fructose-1, 6-bisphosphatase inhibitors for reducing excessive endogenous glucose production in type 2 diabetes. Handb Exp Pharmacol: 279–301.
- 5. Strakovsky RS, Zhang X, Zhou D, Pan YX (2011) Gestational high fat diet programs hepatic phosphoenolpyruvate carboxykinase gene expression and histone modification in neonatal offspring rats. J Physiol 589: 2707–2717.
- 6. Burdge GC, Hoile SP, Uller T, Thomas NA, Gluckman PD, et al. (2011) Progressive, transgenerational changes in offspring phenotype and epigenotype following nutritional transition. PLoS One 6: e28282.
- 7. Jia Y, Cong R, Li R, Yang X, Sun Q, et al. (2012) Maternal low-protein diet induces gender-dependent changes in epigenetic regulation of the glucose-6-phosphatase gene in newborn piglet liver. J Nutr 142: 1659–1665.
- 8. Weaver ICG, Champagne FA, Brown SE, Dymov S, Sharma S, et al. (2005) Reversal of maternal programming of stress responses in adult offspring through methyl supplementation: Altering epigenetic marking later in life. Journal of Neuroscience 25: 11045–11054.
- 9. Lillycrop KA, Rodford J, Garratt ES, Slater-Jefferies JL, Godfrey KM, et al. (2010) Maternal protein restriction with or without folic acid supplementation during pregnancy alters the hepatic transcriptome in adult male rats. British Journal of Nutrition 103: 1711–1719.
- 10. Villamor E, Rifas-Shiman SL, Gillman MW, Oken E (2012) Maternal intake of methyl-donor nutrients and child cognition at 3 years of age. Paediatr Perinat Epidemiol 26: 328–335.
- 11. Betaine. Monograph. Altern Med Rev 8: 193–196.
- 12. Calvisi DF, Simile MM, Ladu S, Pellegrino R, De Murtas V, et al. (2007) Altered methionine metabolism and global DNA methylation in liver cancer: relationship with genomic instability and prognosis. Int J Cancer 121: 2410–2420.
- 13. Lever M, Slow S (2010) The clinical significance of betaine, an osmolyte with a key role in methyl group metabolism. Clin Biochem 43: 732–744.
- 14. Powell CL, Bradford BU, Craig CP, Tsuchiya M, Uehara T, et al. (2010) Mechanism for prevention of alcohol-induced liver injury by dietary methyl donors. Toxicol Sci 115: 131–139.
- 15. Kharbanda KK, Todero SL, King AL, Osna NA, McVicker BL, et al. (2012) Betaine treatment attenuates chronic ethanol-induced hepatic steatosis and alterations to the mitochondrial respiratory chain proteome. Int J Hepatol 2012: 962183.
- 16. Cordero P, Gomez-Uriz AM, Campion J, Milagro FI, Martinez JA (2013) Dietary supplementation with methyl donors reduces fatty liver and modifies the fatty acid synthase DNA methylation profile in rats fed an obesogenic diet. Genes Nutr 8: 105–113.
- 17. Eklund M, Bauer E, Wamatu J, Mosenthin R (2005) Potential nutritional and physiological functions of betaine in livestock. Nutr Res Rev 18: 31–48.
- 18. Ratriyanto A, Mosenthin R, Bauer E, Eklund M (2009) Metabolic, Osmoregulatory and Nutritional Functions of Betaine in Monogastric Animals. Asian-Australasian Journal of Animal Sciences 22: 1461–1476.
- 19. Kathirvel E, Morgan K, Nandgiri G, Sandoval BC, Caudill MA, et al. (2010) Betaine improves nonalcoholic fatty liver and associated hepatic insulin resistance: a potential mechanism for hepatoprotection by betaine. Am J Physiol Gastrointest Liver Physiol 299: G1068–1077.
- 20. Kirsch SH, Herrmann W, Rabagny Y, Obeid R (2010) Quantification of acetylcholine, choline, betaine, and dimethylglycine in human plasma and urine using stable-isotope dilution ultra performance liquid chromatography-tandem mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci 878: 3338–3344.
- 21. Kumar S, Foreman JR, Rathi M (1980) Amniotic fluid and maternal serum amino acid levels in malformations of fetal central nervous system. Neurochem Res 5: 453–458.
- 22. Bennett LW, Keirs RW, Peebles ED, Gerard PD (2007) Methodologies of tissue preservation and analysis of the glycogen content of the broiler chick liver. Poult Sci 86: 2653–2665.
- 23. Petrescu I, Bojan O, Saied M, Barzu O, Schmidt F, et al. (1979) Determination of phosphoenolpyruvate carboxykinase activity with deoxyguanosine 5′-diphosphate as nucleotide substrate. Anal Biochem 96: 279–281.
- 24. Liu XJ, Wang JQ, Li RS, Yang XJ, Sun QW, et al. (2011) Maternal dietary protein affects transcriptional regulation of myostatin gene distinctively at weaning and finishing stages in skeletal muscle of Meishan pigs. Epigenetics 6: 899–907.
- 25.
Stothard P (2000) The sequence manipulation suite: JavaScript programs for analyzing and formatting protein and DNA sequences. Biotechniques 28: 1102, 1104.
- 26. Kertesz M, Iovino N, Unnerstall U, Gaul U, Segal E (2007) The role of site accessibility in microRNA target recognition. Nat Genet 39: 1278–1284.
- 27. Wagner T, Jung M (2012) New lysine methyltransferase drug targets in cancer. Nat Biotechnol 30: 622–623.
- 28. Dominguez-Salas P, Moore SE, Cole D, da Costa KA, Cox SE, et al. (2013) DNA methylation potential: dietary intake and blood concentrations of one-carbon metabolites and cofactors in rural African women. Am J Clin Nutr 97: 1217–1227.
- 29. Storch KJ, Wagner DA, Young VR (1991) Methionine kinetics in adult men: effects of dietary betaine on L-[2H3-methyl-1-13C]methionine. Am J Clin Nutr 54: 386–394.
- 30. Molloy AM, Mills JL, Cox C, Daly SF, Conley M, et al. (2005) Choline and homocysteine interrelations in umbilical cord and maternal plasma at delivery. Am J Clin Nutr 82: 836–842.
- 31. Surtees R, Bowron A, Leonard J (1997) Cerebrospinal fluid and plasma total homocysteine and related metabolites in children with cystathionine beta-synthase deficiency: The effect of treatment. Pediatr Res 42: 577–582.
- 32. Sharma P, Senthilkumar RD, Brahmachari V, Sundaramoorthy E, Mahajan A, et al. (2006) Mining literature for a comprehensive pathway analysis: a case study for retrieval of homocysteine related genes for genetic and epigenetic studies. Lipids Health Dis 5: 1.
- 33. Rosensweig NS, Herman RH, Stifel FB (1970) Dietary regulation of glycolytic enzymes. VI. Effect of dietary sugars and oral folic acid on human jejunal pyruvate kinase, phosphofructokinase and fructosediphosphatase activities. Biochim Biophys Acta 208: 373–380.
- 34. Jackson MI, Cao J, Zeng H, Uthus E, Combs GF Jr (2012) S-adenosylmethionine-dependent protein methylation is required for expression of selenoprotein P and gluconeogenic enzymes in HepG2 human hepatocytes. J Biol Chem 287: 36455–36464.
- 35. Liu Y, Liu YQ, Morita T, Sugiyama K (2012) Effects of betaine supplementation and choline deficiency on folate deficiency-induced hyperhomocysteinemia in rats. J Nutr Sci Vitaminol (Tokyo) 58: 69–77.
- 36. Finkelstein JD, Martin JJ, Harris BJ, Kyle WE (1983) Regulation of hepatic betaine-homocysteine methyltransferase by dietary betaine. J Nutr 113: 519–521.
- 37. Medici V, Shibata NM, Kharbanda KK, LaSalle JM, Woods R, et al. (2013) Wilson's disease: changes in methionine metabolism and inflammation affect global DNA methylation in early liver disease. Hepatology 57: 555–565.
- 38. Kovacheva VP, Mellott TJ, Davison JM, Wagner N, Lopez-Coviella I, et al. (2007) Gestational choline deficiency causes global and Igf2 gene DNA hypermethylation by up-regulation of Dnmt1 expression. J Biol Chem 282: 31777–31788.
- 39. Horowitz S, Yesselman JD, Al-Hashimi HM, Trievel RC (2011) Direct evidence for methyl group coordination by carbon-oxygen hydrogen bonds in the lysine methyltransferase SET7/9. J Biol Chem 286: 18658–18663.
- 40. Mori S, Iwase K, Iwanami N, Tanaka Y, Kagechika H, et al. (2010) Development of novel bisubstrate-type inhibitors of histone methyltransferase SET7/9. Bioorg Med Chem 18: 8158–8166.
- 41. Lee JK, Kim KC (2013) DZNep, inhibitor of S-adenosylhomocysteine hydrolase, down-regulates expression of SETDB1 H3K9me3 HMTase in human lung cancer cells. Biochem Biophys Res Commun 438: 647–652.
- 42. Imai E, Stromstedt PE, Quinn PG, Carlstedt-Duke J, Gustafsson JA, et al. (1990) Characterization of a complex glucocorticoid response unit in the phosphoenolpyruvate carboxykinase gene. Mol Cell Biol 10: 4712–4719.
- 43. Vander Kooi BT, Onuma H, Oeser JK, Svitek CA, Allen SR, et al. (2005) The glucose-6-phosphatase catalytic subunit gene promoter contains both positive and negative glucocorticoid response elements. Mol Endocrinol 19: 3001–3022.
- 44.
Kawasaki H, Taira K (2004) MicroRNA-196 inhibits HOXB8 expression in myeloid differentiation of HL60 cells. Nucleic Acids Symp Ser (Oxf): 211–212.
- 45. Moxon S, Jing R, Szittya G, Schwach F, Rusholme Pilcher RL, et al. (2008) Deep sequencing of tomato short RNAs identifies microRNAs targeting genes involved in fruit ripening. Genome Res 18: 1602–1609.
- 46. Williams AE (2008) Functional aspects of animal microRNAs. Cell Mol Life Sci 65: 545–562.
- 47. Pan S, Zheng Y, Zhao R, Yang X (2013) MicroRNA-130b and microRNA-374b mediate the effect of maternal dietary protein on offspring lipid metabolism in Meishan pigs. Br J Nutr 109: 1731–1738.
- 48. Sangokoya C, Doss JF, Chi JT (2013) Iron-responsive miR-485-3p regulates cellular iron homeostasis by targeting ferroportin. PLoS Genet 9: e1003408.