(Hypertension. 2005;45:786.)
© 2005 American Heart Association, Inc.
Original Articles |
From the BHF Glasgow Cardiovascular Research Centre (M.W.M., M.J.B., W.H.M., D.G., N.H., C.A.H., J.M.P., W.K.L., A.F.D.), Division of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom; and Biomedical Research Centre (J.M., L.I.M.), University of Dundee, Ninewells Hospital and Medical School, United Kingdom.
Correspondence to Professor Anna F. Dominiczak, BHF Glasgow Cardiovascular Research Centre, University of Glasgow G11 6NT. E-mail ad7e{at}clinmed.gla.ac.uk
| Abstract |
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Key Words: rats, stroke-prone SHR hypertension, genetic gene expression oxidative stress
| Introduction |
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The stroke-prone spontaneously hypertensive rat (SHRSP) is a well-characterized experimental model for essential hypertension and endothelial dysfunction.1113 Genome-wide scans performed on several rat crosses have identified quantitative trait loci (QTLs), which are involved in blood pressure regulation.5 However, these represent large chromosomal regions and contain too many putative candidate genes to pursue classic positional cloning strategies. More recently, generation of congenic strains in which blood pressure QTLs from a normotensive strain have been introgressed into a hypertensive background has allowed genetic dissection of QTLs in hypertensive strains.1316 Recent studies using a combination of the SP.WKYGla2c* congenic strain, derived from SHRSPGla and WKYGla, and genome-wide microarray expression profiling, have shown significantly reduced expression of glutathione S-transferase µ type 1 (Gstm1) in kidneys of SHRSPGla compared with SP.WKYGla2c* congenic and WKYGla controls.17 Gst forms a superfamily, the dimeric proteins of which catalyze a number of distinct glutathione-dependent reactions but can also function as peroxidases and isomerases.1820 The primary role of Gst is the metabolism of a broad range of reactive oxygen species (ROS) and xenobiotics, and they have been implicated in a number of diseases, including childhood asthma21 and lung cancer,22 although little work has been undertaken in cardiovascular disease and hypertension.
The current study was designed to investigate renal expression and cellular localization of GSTM1 together with parallel measurements of oxidative stress in renal and vascular tissues.
| Methods |
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Quantitative Real-Time Polymerase Chain Reaction
Renal total RNA was extracted from 5- and 16-week-old rats using RNeasy kits (Qiagen), treated with DNase Free (Ambion), and accurately quantified using Ribogreen (Molecular Probes). Normalization was confirmed by performing real-time polymerase chain reaction (PCR) on either Lightcycler (Roche) or TaqMan (Applied Biosystems) of ß-actin (Promega) with comparable threshold cycles. Lightcycler RT-PCR was performed in a single run with 0.5 µmol/L each primer for Gstm1 F5'-TTT GAG CCC AAG TGC CTG GA-3' R 5'-GCA GGA TCC AAT GTG GAC AG-3'. A standard curve was generated from various dilutions of cloned, linearized Gstm1 plasmid. TaqMan probes for Gstm1 (Rn00755117m1-labeled FAM) and ß-actin (4352340E-labeled VIC) were multiplexed. Expression of Gstm1 relative to ß-actin in each sample was derived using the comparative (
CT) method.
Sequencing
Two strategies were used to sequence the Gstm1 gene from SHRSPGla, SP.WKYGla2c*, WKYGla, and the SHR and BN. Renal RNA was used as a template for RT-PCR amplifying Gstm1 from each of the 5 strains. PCR primers were also designed to exon 1 and genomic DNA regions upstream of the Gstm1 using BN genome sequence as a template (supplemental Table I, available online at http://www.hypertensionaha.org). Gstm upstream sequences from rat Gstm1, mouse gstm1 and gstm3, and all human GSTM family were obtained from ENSEMBL and compared using rVISTA 2.0,24 and putative promoter regions were inferred from the transcriptional database.25
Western Analysis of GSTM1 and Nitrotyrosine in Rat Kidney
Kidneys were removed rapidly from terminally anesthetized 16-week-old SHRSPGla, SP.WKYGla2c*, and WKYGla and homogenized in protease inhibitorcontaining buffer. Protein concentration was determined using a Bio-Rad BCA kit. Proteins were separated by polyacrylamide gel electrophoresis and electroblotted onto a Hybond-P membrane (Amersham). Membranes were incubated with the appropriate primary antibody (anti-Gstm1 1:8000, antiß-actin 1:8000; or anti-nitrotyrosine 1:750, anti-gapdh 1:100) before repeated washing and application of a horseradish peroxidaseconjugated secondary antibody. Protein bands were detected by chemiluminescence (ECL kit; Amersham), and visualized and quantified using a Bio-Rad Image Analyzer densitometry system.
Immunohistochemistry on Rat Kidneys
Wax sections (5 µm) were obtained from kidneys of 16-week-old SHRSPGla and WKYGla male rats. After treatment with antigen retrieval solution (DAKO), sections were blocked with 20% serum in PBS for 1 hour. Antibodies were incubated overnight at 4°C with an antibody against GSTM1 and then aquaporin 2 (AQP2). Washing with PBS was followed by incubation with a mixture of secondary antibodies, anti-rabbit IgGfluorescein isothiocyanate and donkey anti-goat IgG conjugated with Alexa Fluor 350 (Molecular Probes), at room temperature for 1 hour. Fluorescence was detected on the Olympus BX40 fluorescent microscope using the U-MWIB and U-MWU cubes.
Superoxide Levels in Kidney and Vascular Tissues
Superoxide was measured using 20 µmol/L lucigenin chemiluminescence in thoracic aorta as described previously.26 Similar methods were used for kidney tissue dissected into renal medulla and cortex. The tissue was homogenized in 0.05 mol/L phosphate buffer, pH 7.8, and detected with 5 µmol/L lucigenin. Frozen sections of thoracic aorta were prepared (30 µm). Samples were incubated with hydroethidine (2 µmol/L for 20 minutes) and florescence detected using a Bio-Rad laser scanning confocal microscope. SHRSPGla, WKYGla, and SP.WKYGla2c* samples were analyzed in parallel. Dedicated software was used to measure average florescence of each vessel.
| Results |
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Sequencing of Rat Gstm1
Sequencing of SHRSPGla, SHR, SP.WKYGla2c*, and WKYGla Gstm1 exons identified a nonsynonymous single nucleotide polymorphism (SNP), changing arginine 202 (Arg 202) to histidine (R202H) in the SP.WKYGla2c* congenic and WKYGla strains. The same amino acid was identified in the BN rat but not in other Gstm isoforms from rat, mouse, and human (Figure 2A; Table). In addition, the crystal structure of rat GSTM127 was referred to to model the potential effects of the substitution of R202H, in which Arg 202 was found to be surface located and distal from the active site (data not shown). Using genomic DNA as template, sequencing was extended to include the upstream, regulatory regions and identified 11 SNPs, an insertion, and a deletion (Figure 2A). Sequence was identical between the SHRSPGla and SHR. In all cases, sequence differences between the SHRSPGla and WKYGla were also found between SHRSPGla and BN (Figure 2A). Moreover, these sequence differences were predictive for renal Gstm1 expression levels in each of the strains (Figure 2B). rVISTA 2.0 plots identified conserved sequences in the putative promoter between rat Gstm1, mouse gstm1, mouse gstm3, and human GSTM1 and GSTM5. Of the 11 SNPs identified, 3 were localized to conserved transcription factor binding sites: acute myloid leukemia (AML1) and hepatic nuclear factor 4 sites (HNF4).
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Western Analysis
To determine whether the significant reduction in Gstm1 mRNA levels resulted in a significant reduction in GSTM1 immunoreactive protein, Western analysis was performed in male, 16-week-old SHRSPGla, SP.WKYGla2c*, and WKYGla strains (Figure 3A). A single immunoreactive protein band of
26 kDa was detectable in each of the strains using GSMT1 antibody. Densitometry of these immunoblots was performed and confirmed significant reductions of GSTM1 protein levels in the SHRSPGla (n=3; SHRSPGla 2.3±0.5 versus SP.WKYGla2c* 4.4±0.6; 95% confidence interval [CI], 0.7, 3.5; SHRSPGla 2.3±0.5 versus WKYGla 4.8±0.1; 95% CI, 1.0, 4.1; F=18.2; P=0.005). Nitrotyrosine immunoreactivity was used as a measure of oxidative stress in the kidneys of SHRSPGla (Figure 3B). Western analysis clearly identified immunoreactive bands corresponding to nitrotyrosine at several sizes extracted from rat kidney. These bands were consistently more intense in kidneys from SHRSPGla than SP.WKYGla2c* and WKYGla when normalized to Gapdh (Figure 3B).
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Immunohistochemistry Analysis
The relative levels and localization of GSTM1 were further analyzed using immunohistochemistry in kidney sections obtained from 16-week-old male SHRSPGla and WKYGla rats. Figure 4A through 4D shows that expression is limited to tubular epithelium and highlights the difference in intensity levels between kidneys from SHRSPGla and WKYGla. The specific site within the nephron was determined by performing colocalization studies with AQP2, a selective marker of principal cells of the collecting ducts (Figure 4E). As can be seen in Figure 4F, there is a precise alignment of the staining patterns showing that the site of expression of GSTM1 is in the collecting tubule. Nonimmune IgG controls for GSTM1 and AQP2 are shown in Figure 4G and 4H, respectively.
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Superoxide Levels in Kidney and Vascular Tissues
Superoxide levels in the kidney medulla and cortex were significantly higher in SHRSP compared with WKY, with that of SP.WKYGla2c* being intermediate (n=3; SHRSP medulla 1813±114; cortex 1878±205; WKY medulla 335±240; cortex 524±368; SP.WKYGla2c* medulla 1276±337; cortex 957±176 cpm/mg protein; ANOVA medulla F=9.48; P=0.01; ANOVA cortex F=7.14; P=0.03). Aortas from the SHRSPGla showed significantly increased levels of superoxide as measured with lucigenin chemiluminescence compared with SP.WKYGla2c* and WKYGla. (Figure 5A). This was confirmed by a second method using dihydroethidine (SHRSPGla 95±4 [n=4]; SP.WKYGla2c* 63±2 [n=4]; WKYGla 52±8 [n=3] relative fluorescence units; SHRSPGla versus SP.WKYGla2c*; 95% CI, 7.2, 56.3; SHRSPGla versus WKY; 95% CI, 15.8, 69.0; F=23.40; P<0.0001 [Figure 5B]).
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| Discussion |
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Recent developments from the rat genome consortium28 have allowed the first assessment of the frequency of SNPs within rat strains, and many have focused on SNPs in protein coding regions because these polymorphisms are most likely to contribute to phenotypic differences.29 The identification of Arg 202 in the SHRSPGla and His 202 in the WKYGla is intriguing; however, it is clear that amino acid 202 is principally conserved as arginine in many of the GSTM enzymes. Furthermore, the modeling of the R202H amino acid change showed no perturbations other than the breaking of a local salt-bridge, and therefore, the substitution would be unlikely to affect enzyme activity. However, it is clear that SNPs in noncoding regions may also have functional effects, as suggested by evolutionary conservation24 and the mapping of human disease susceptibility to noncoding regions.30 The frequency and organization of SNPs identified in the Gstm1 regulatory sequences are consistent with the observation that SNPs are not randomly distributed across loci, reflecting regional variation with only a small proportion potentially disrupting transcription factor binding sites.29 Using in silico strategy, 3 of the 13 SNPs identified were mapped to conserved promoter regions across rat, mouse, and human Gstm genes, including 2 AML1 and HFN4 transcription factors and may account for differences of expression between SHRSPGla and WKYGla. The expression of several other glutathione S-transferases and cytochrome P450s has been shown to be regulated by HNF transcription factors.31 These results are further supported by our new findings that the Gstm1 gene sequence and its mRNA expression are very similar between the SHRSPGla and the SHR (Harlan).
The significant reduction in GSTM1 protein levels and immunohistochemical localization present an intriguing hypothesis. The distal part of the nephron, composed of the distal convoluted tubule and collecting duct, has the primary role in determining net NaCl and K+ balance. One of the principal functions of the collecting tubule is the reabsorption of NaCl. This activity is regulated at least partially by NO.32 A reduced bioavailability of NO has been postulated to contribute to the development of hypertension, but the underlying mechanism has not been resolved, particularly in light of the fact that a number of groups have shown either no change or enhanced expression of NO synthase in the kidneys of hypertensive rats. Welch et al demonstrated that the SHR kidney has increased immunoreactive expression of nitrotyrosine.33 Because antioxidants such as membrane-permeant superoxide dismutase blunt exaggerated tubular glomerular filtration responses, it has been proposed that the SHR kidney has an increased production of superoxide, which decreases the bioavailability of locally formed NO. We now suggest that it is a reduction in antioxidant defenses, evident by a reduced expression of Gstm1, in the kidney of the SHRSP that leads to increased levels of superoxide and reduced bioavailability of NO in the renal medulla and cortex. Furthermore, parallel increase in superoxide levels in the SHRSP vasculature is consistent with the reduction in vascular NO bioavailability observed in clinical34 and experimental models12 of hypertension. It is tempting to hypothesize that altered expression of Gstm1 or genes belonging to antioxidant defense mechanisms may contribute to this increase in vascular superoxide in a manner analogous to the proposed mechanism in the kidney. Indeed, human subjects who have a GSTM1 null genotype may be more prone to atherosclerosis and endothelial dysfunction, particularly in the presence of compounding risk factors such as smoking.35
Perspectives
We propose that Gstm1 may represent a novel candidate gene for hypertension and oxidative stress. The oxidative stress pathway has been implicated not only in the pathogenesis of endothelial dysfunction and hypertension but also all other modifiable cardiovascular risk factors, including diabetes, obesity, and hyperlipidemia. Therefore, imbalance between generation of ROS and endogenous antioxidant defenses might be central to several cardiovascular phenotypes. The existence of 4 human orthologues will make it possible to translate these data directly to human studies.
| Acknowledgments |
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| Footnotes |
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Received October 12, 2004; first decision November 8, 2004; accepted December 21, 2004.
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