Molecular Medicine |
From the Centre for Endocrinology (I.B., S.W., P.J.K., A.J.L.C.), Barts & the London, Queen Mary University of London, UK; Department of Chemical and Biological Sciences (S.P.B.), University of Huddersfield, UK.
Correspondence to Professor A.J.L. Clark, Centre for Endocrinology, John Vane Science Centre, William Harvey Research Institute, Charterhouse Square, London EC1M 6BQ, UK. E-mail a.j.clark{at}qmul.ac.uk
| Abstract |
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Key Words: hypertension angiotensin receptors fetal programming DNA methylation
| Introduction |
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Administration of a low protein diet (8% protein in place of 18% protein in normal rat chow with the calorific content of protein made up in the form of carbohydrate) to pregnant rats either until term or weaning has been widely used in the investigation of the pathogenesis of hypertension. This model produces offspring of reduced birth weight in which elevated systolic and diastolic blood pressures, as measured by tail cuff methods or by indwelling carotid artery catheters, can be identified as early as 4 weeks of age.5 Hypertension can be prevented in this model by administration of angiotensin converting enzyme inhibitors or angiotensin receptor antagonists, but not by nifedipene, between 2 and 4 weeks of age.6,7 This is highly suggestive of a role of the renin-angiotensin system (RAS) in disease pathogenesis.
The consequence of the fetal insult in this and other programming models is that the phenotype is altered in a stable, but subtle manner. Such a phenotypic alteration may be achieved either by a change in the number or distribution of differentiated cells, or by changes in gene expression by individual cells, and there is evidence to support both occurrences.8 Following embryo implantation, the majority of the genome is demethylated.9 The process of differentiation and development is accompanied by the selective methylation of genes that are not needed for function of the differentiated cell. As this process of DNA methylation takes place in utero and in early postnatal development, it is a good candidate for disturbance by environmental interference, and thus provides a potential mechanism for fetal programming. Whereas methylation patterns are generally considered to be established in early postnatal life and persist thereafter, there is evidence from human monozygotic twin studies that methylation patterns can change with ageing.10
It has been shown that a maternal low protein diet is associated with reduced global methylation, and it may be that it is deficiency of specific amino acids, eg, glycine, required to generate methyl donors, that underlies such changes.11 Supplementation of low protein diets with glycine or folate reverses the programming effect of those diets.12,13 However such a mechanism may lack gene specificity, whereas other data argues that it is specific genes that are susceptible to this effect.1417
Thus in this study we set out to test the hypothesis that alteration of DNA methylation of 1 or more RAS component genes might underlie the alteration of gene expression that culminated in the development of hypertension.
| Materials and Methods |
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RNA Isolation and Quantitation
Total RNA was isolated (QIAgen, Crawley, UK), quantitated, and reverse-transcribed. Real-time QPCR was performed using a 2-step cycling protocol: 95°Cx10 minutes, then 40 cycles of 95°Cx30s and 59°Cx1 minute. Q-PCR analysis was conducted in optical 96-well plates with optical caps, using the MX4000 (Stratagene). Primers and probes were designed to be intron-spanning wherever possible. All probes were 5' labeled with 6-FAM as a reporter dye and TAMRA as the 3' quencher. The 18S ribosomal RNA was used as an internal reference control. Amplification plots were analyzed using MX4000 software version 3.0 (Stratagene). RNA expression data were given as copy number of gene of interest/µg of RNA. Standards used were PCR fragments purified from polyacrylamide gel electrophoresis. All PCR reactions were performed in triplicate. Gene specific primer and probe sequences are shown in Table I of the online data supplement available at http://circres.ahajournals.org.
Immunoblotting
Rat adrenals were homogenized in RIPA buffer. Laemmli buffer without mercaptoethanol was added to equal amounts of supernatants (50 µg of protein). Proteins were incubated for 30 minutes at 55°C before being separated on SDS-PAGE and blotted onto PVDF membranes. Membranes were incubated with a monoclonal AT1 receptor antibody (TONI-1, 1:400, Abcam, Cambridge, UK) or rabbit anti-MAPK (1:1000, NEB, Hitchin, UK) as a loading control and immune complexes were developed using enhanced chemiluminescence reagents (Amersham Pharmacia Biotech, Chalfont St Giles, UK).
Genomic DNA and Bisulphite Modification
Genomic DNA was isolated from whole adrenal or adrenal cortex using DNAsol reagent (Invitrogen, Paisley, UK) or QIAamp minikit (QIAgen). DNA was then digested with restriction enzymes EcoRV and Bgl II (NEB), deproteinised with phenol/chloroform and ethanol precipitated. DNA was treated with sodium bisulphite according to modifications of the original protocol17 and as described.18 DNA was ethanol precipitated, dissolved in 50 µL water and used immediately for PCR or stored at 20°C. PCR conditions were: 94°Cx12 minutes, then 40 cycles of 94°Cx30s, 52°Cx1 minute, 72°Cx 30s and finally 1 cycle of 7 minutesx72°C. The reaction mixture contained 1xAmpli Gold PCR buffer, 0.2 mmol/L dNTPs, 2 mmol/L MgCl2, 1 µmol/L primers, 1.25 U of AmpliTaq Gold DNA polymerase (Applied Biosystems, Warrington, UK) and 2 to 5 µL DNA template. Primer sequences are shown in supplemental Table II of the online data supplement available at http://circres.ahajournals.org
Pyrosequencing
PCR and sequencing primers for pyrosequencing were designed using PSQ Assay design software (Biotage AB, Uppsala). One of the PCR primers was biotinylated, and the biotinylated strands were purified and sequenced using the PSQTM 96MA 2.1 instrument (Biotage AB). The primer sequences are listed in supplemental Table II. Calibration curves were recorded using five mixtures of PCR products (0, 25, 50, 75 and 100% methylation) prepared from cloned fully methylated and unmethylated gene promoter region of the rat AT1b receptor.
TOPO-TA Cloning and Sequencing
Gel sliced PCR products were passed through SNAP columns (Invitrogen) and used immediately for TOPO- cloning according to the manufacturers instruction (Invitrogen). Transformed TOP10 E. coli cells were selected on LB-ampicillin (100 µg/µL) agar and subjected to bacterial colony PCR. 15 independent clones containing the appropriate sized insert for each amplified fragment were sequenced on an ABI 3700 automated DNA sequencer (Applied Biosystems) in accordance with the manufacturers instructions.
AT1b Promoter Analysis
A 1.2kb fragment (positions 277 to 1611 from Genbank U01033) containing the rat AT1b receptor promoter was cloned into pGL3 basic (Promega). The promoter was methylated in vitro with 10 U of SssI or Hha1 (NEB) according to the manufacturers instructions. Controls included a mock methylated construct. 150 ng of each plasmid were then cotransfected with 20 ng of the pRL-CMV Renilla control vector (Promega) into mouse Y1 cells. After 24 hours cell lysates were prepared and luciferase activity was measured using the Dual-Luciferase reporter assay (Promega) and a Wallac Victor2 1420 Multilabel counter (Perkin Elmer, Finland). Reporter activity was calculated by normalizing the reporter luciferase value to that of the Renilla control vector. Site-directed mutagenesis of C residues at CpG sites 1 to 3 in the modified AT1b promoter (positions 277 to 1454 from Genbank U01033) was performed using the QuickChange Site-directed mutagenesis protocol (Stratagene) according to to the manufacturers instructions. Mutations were confirmed by DNA sequencing.
Statistical Analysis
Expression levels were compared using students 2-tailed t test and methylation density in control and MLP adrenals was compared using
2.
| Results |
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Confirmation that these changes resulted in changes in receptor protein was provided by immunoblotting of adrenal lysates using an antibody that recognizes both AT1a and AT1b receptors which reveals significant differences on densitometry (Figure 2). The histological appearance of the adrenal was also investigated and shows no significant change in structure or zonal distribution (Figure 3).
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As the principal site of AT1b expression in the rat is the adrenal zona glomerulosa (ZG)20,21 we prepared adrenal capsules (which contain the majority of the ZG cell layer) from 4 week old programmed and control animals and used pooled tissue from one male and one female for methylation analysis to focus on the 3 CpG sites in the proximal AT1b promoter. Bisulphite converted DNA was subcloned and 30 individual clones from each group were sequenced This showed significantly less methylation at the three potentially methylatable sites in the proximal AT1b promoter (
2=7.37; P<0.01) (Figure 4a and b). The alteration of AT1b gene expression was confirmed in these same samples using real-time RT-PCR (Figure 4c).
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In view of the possibility that pooling might obscure the variation between samples these studies were repeated in 4 week old animals from three independent litters in which each animals whole adrenals were treated independently. Bisulphite conversion, PCR and subcloning was performed as before and revealed methylation at 21.8% of CpG sites in control animals against 7.4% of sites in programmed animals. These results are shown in Figure 4d and are significantly different when assessed as a group (all 3 sites considered,
2=7.73, P<0.05) or in the case of sites 1 and 3 when considered individually (site 1,
2=11.88, P<0.01; site 3,
2=7.65, P<0.05). Pyrosequencing analysis of this same region confirmed a similar significant reduction in methylation of each of the three sites (data not shown).
Analysis of 17 CpG sites in the AT1a promoter and first exon using Pyrosequencing showed only occasional methylation of site 13 (position 3278 in rat AT1a sequence; accession number S66402) and approximately 20% methylation of site 14 (position 3264), both located in exon 1. There was no difference in methylation frequency at this site between 5 MLP and 4 control offspring. There was no methylation of any other CpG site in this promoter in the adrenal.
The influence of methylation of the AT1b promoter on gene expression was demonstrated by transfection of 1.2 Kbp of the AT1b promoter coupled to a luciferase reporter gene into mouse adrenocortical Y1 cells. Treatment of this promoter with the site-specific Hha1 methylase or the nonspecific CpG methylase Sss1 before transfection results in methylation of either 1 or all 6 CpG sites respectively in this fragment, and in the latter case is associated with markedly reduced promoter activity. When the 3 proximal sites analyzed for methylation were mutated so that they could no longer be modified by Sss1, significant loss of promoter activity was observed. Methylation of the 3 remaining upstream CpG sites with Sss1 had no further influence. The contribution of each of the three proximal sites, and notably site 3 is revealed by analysis of the effect of their individual mutation without methylation (Figure 5).
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| Discussion |
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Interestingly, expression of the AT1b receptor is similar or reduced in the spontaneously hypertensive rat when compared with control Wistar Kyoto rats, probably as an adaptive response.24 Because this receptor mediates the action of the peptide Ang II to stimulate adrenal aldosterone production, it is likely to contribute to the subsequent development of hypertension. Furthermore, it has been shown that blockade of Ang II production with ACE inhibitors, or interaction with the AT1 receptor using a receptor antagonist will prevent development of hypertension in MLP offspring in contrast to nifedipene.6,7 These findings confirm an important, if not unique, role for this receptor in this model. Investigation of the role of the AT1b receptor in mice in which 1 or the other, or both AT1 receptors have been deleted suggests the AT1b receptor contributes to blood pressure maintenance and in the absence of AT1a receptors mediates a pressor response to angiotensin 2527
Two possible explanations for increased receptor expression are conceivable. Expression of the AT1b receptors in the rat adrenal is almost entirely restricted to the ZG, and fetal hyperproliferation of this cell type might be consistent with the increased quantity of AT1b mRNA expressed in the adrenal. Differentiation of the rat ZG cells is first apparent just before birth28,29 and although this might be influenced by the continuation of the low protein diet during suckling, the hypertensive phenotype can equally be observed in animals that receive the low protein diet in pregnancy alone. However histological examination of the adrenal (Figure 3) shows no apparent ZG hyperplasia and MLP animals cannot be distinguished from controls.
A second explanation for increased AT1b receptor gene expression is that the fetal insult has induced a persistent modification of AT1b gene expression. Altered DNA methylation has long been proposed as a candidate mechanism for fetal programming, although there are few examples in which this has been directly demonstrated by bisulphate sequencing14,16 or inferred from methylation sensitive PCR analysis,15,17 and at least one case in which increased gene expression appears to be independent of DNA methylation.19 We have shown here that the AT1b gene promoter, which quite clearly is highly susceptible to regulation by DNA methylation, is indeed less methylated in programmed animals. The present work demonstrates a direct link between maternal environmental factors that cause hypertension and epigenetic modification of a gene promoter.
It is interesting to note that the proportion of AT1b methylation in the adrenal capsule, representing a relatively pure ZG cell preparation (Figure 4b), is not highly different from that in the whole adrenal (Figure 4d). The most likely explanation for this is that all adrenocortical cells develop from a stem cell in which the AT1b methylation pattern has been set.30 Thus the methylation pattern in the ZG cell would be reflected in cells in the fasciculata and reticularis cell layers, even though these cells do not express the receptor.
The molecular mechanisms that underlie such an alteration in methylation pattern as a result of fetal programming remain to be determined. One proposal is that undernutrition leads to deficiency of methyl donors and, conceivably, certain genes might be more susceptible to this influence than others.8 A substantial body of evidence suggests that programmed phenomena can result from excessive glucocorticoid action either when directly administered to pregnant dams or as a result of maternal stress.31 Whether such an occurrence can influence the normal process of DNA methylation remains to be determined. The data obtained using in vitro methylation shown in Figure 5 argue that CpG site 3 has a particularly potent influence on promoter activity in that when mutated or methylated the promoter is essentially inactive. This base is at the center of an Sp1 consensus site, suggesting that failure to bind this, or a related transcription factor may have a crucial impact. However it is generally considered that Sp1 binding is not influenced by DNA methylation32 although there are exceptions to this33 and it is possible that another methylation sensitive transcription factor binds here.
The human genome only contains a single AT1 receptor gene which is widely expressed in a pattern similar to that of the AT1a receptor.34 There is no human equivalent to the relatively adrenal-specific AT1b receptor. Thus these findings may be difficult to translate directly into the human hypertensive scenario. Furthermore there is also data derived from human monozygotic twin studies that challenges the view that methylation patterns are established in early life and remain unchanged thereafter.10 Nevertheless, the possibility that maternal undernutrition may result in highly specific altered methylation patterns in the offspring provides increased mechanistic understanding worthy of investigation in man.
| Acknowledgments |
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This work was funded by a grant from the British Heart Foundation. S.W. is supported by Diabetes UK
Disclosures
None.
| Footnotes |
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| References |
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