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Atherosclerosis and Lipoproteins |
From the Graduate School of Human and Environmental Studies, University of Kyoto, Kyoto (N.K., T.T., K.U., C.M., T.M., M.S., K.I., Y.Y.); the Department of Laboratory Medicine, Shimane Medical University, Izumo (T.N.); the Department of Internal Medicine, University of Tokyo, Tokyo (T.G.); and the Graduate School of Integrated Science and Art, University of East Asia, Yamaguchi (Y.N.), Japan.
Correspondence to Norihiro Kato, MD, PhD, Department of Internal Medicine, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo 173-8605, Japan. E-mail nkato{at}med.teikyo-u.ac.jp
| Abstract |
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Key Words: stroke susceptibility lipids linkage sex specificity
| Introduction |
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The SHRSP was originally established from the A substrain of the SHR in Kyoto, Japan, by selective inbreeding for stroke proneness, whereas 2 other substrains of SHR, the B and C substrains, are stroke resistant (SR).15 16 17 Through extensive searches of differences in lipid metabolism between these substrains of SHR and normotensive control, Wistar-Kyoto rats (WKY), several lines of evidence have emerged for the speculation that some impaired processes of lipid metabolism may play a role in the etiology or exacerbation of stroke in SHRSP.13 14 15 18 19 It is known that SHRSP (or its A substrain) shows significantly low serum total cholesterol levels and high serum triglyceride levels compared with WKY when both are maintained on a normal rat chow diet.13 14 When fed a high-fat, high-cholesterol diet, the SHRSP not only demonstrates a highly responsive increase in serum cholesterol levels but also develops acute fat deposition in small arteries.14 15 20 Moreover, supplementation with dietary cholesterol for a 2-month period has been shown to decrease the incidence of cerebral lesions in SHRSP.13 19 These findings motivated us to investigate the genetic bases of impaired lipid metabolism in SHRSP.
In the present study, we evaluated the heritability of serum total cholesterol levels between SHRSP and WKY and subsequently performed a genome-wide screen in the F2 population. As part of our study, microsatellite markers were developed for 2 candidate genes for investigation of serum cholesterol levels, and the genes were localized by linkage mapping. These are the rat 3-hydroxy-3-methylglutaryl coenzyme A reductase (Hmgcr) gene and the mevalonate pyrophosphate decarboxylase (Mvpd) gene.
| Methods |
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Genotype Characterization
Microsatellite markers were either purchased from Research
Genetics Inc or synthesized according to primer sequences previously
published.21 To find informative markers between the 2
parental strains, we initially screened >600 markers, one third of
which proved to be polymorphic. Markers used for the genome scan
were chosen on the basis of their location in published genetic
maps22 23 to avoid genotyping closely linked markers in
the same chromosome region. Polymerase chain reaction (PCR) was run on
a PHC-3 thermal cycler (Techne) with a solution of the following
composition: 45 mmol/L Tris-HCl (pH 8.8), 50 mmol/L KCl,
1.5 mmol/L or 2.0 mmol/L MgCl2, 11
mmol/L
(NH4)2SO4,
6.7 mmol/L ß-mercaptoethanol, 4.5 mmol/L EDTA (pH 8.0),
65.5 µmol/L each of dNTPs, 33 ng of each primer, 50 ng of
genomic DNA, and 0.4 U of Ampli Taq DNA polymerase (Perkin
Elmer) in a reaction volume of 15 µL. Initial denaturation occurred
at 96°C for 4 minutes, followed by 35 cycles of denaturation at
94°C for 1 minute, annealing at 55°C or 60°C for 1 minute, and
extension at 72°C for 20 seconds; final extension was at 72°C for 7
minutes. The concentration of magnesium and the annealing temperature
were dependent on the primer set. PCR products were electrophoresed
in 7.5% (or 10%) polyacrylamide gels on the mini vertical-gel
system (Wako Inc) followed by ethidium bromide staining. When
necessary, markers with product size differences <8 bp were
analyzed with 32P-labeled primers, in
which case, the product was separated in 6%
polyacrylamide/7 mol/L urea gels on the model S2 sequencing
apparatus (Life Technologies Inc).
Developing Polymorphic Markers for the Hmgcr and
Mvpd Genes and 3 Other Genes on Rat Chromosome
15
Genetic markers were developed for 2 candidate genes in
cholesterol biosynthesis, Hmgcr, which is known
to be a rate-limiting step, and Mvpd, whose enzyme activity
was shown to be reduced in the liver soluble fractions of
SHRSP.24 In addition, microsatellite markers for rat
cardiac
-myosin heavy chain (Myhca), clusterin
(Clu), and endothelin receptor type B (Ednrb)
were developed in the chromosome region with significant linkage to the
trait, which corresponded to a conserved synteny between rat chromosome
15 and mouse chromosome 14. Although rat homologues of Clu
(also known as Trpm-2)25 and
Ednrb26 had been previously mapped to
chromosome 15, we developed new polymorphic markers for these loci
to complete our consensus map of rat chromosome 15 and to facilitate
comparison of maps between rats and other species. PCR primer sets were
designed to flank repetitive motifs either in the published sequence
(Clu)27 or in newly determined intron
sequences (Hmgcr, Mvpd, Myhca, and Ednrb). Rat
primer sets used in the present study are listed in Table 1
. Map locations for the 3 markers on rat
chromosome 15 (Myhca, Clu, and Ednrb)
are shown in Figure 2
, and those for the
other 2 (Hmgcr and Mvpd) are discussed in
Results.
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Substrain Comparison of Marker Alleles in the Linked Region of
Rat Chromosome 15
In the region encompassing the cholesterol
quantitative trait locus (QTL) on rat chromosome 15, we examined
allele distribution patterns of microsatellite markers among WKY
and substrains of SHR that included 3 SHRSP substrains (A1-sb, A3, and
A4) and 4 SHRSR substrains (B1, B2, CH, and CL).16 28
Markers other than those characterized above were taken from the
genetic maps of the rat genome, release 4
(http://www.genome.wi.mit.edu/rat/public/). Allele sizes of PCR
products for each marker were determined with GeneScan and
Genotyper software on an ABI 377 DNA sequencer (Applied
Biosystems) according to the manufacturers protocol. A genetic
linkage map of the selected region involving all markers that were
polymorphic between the A3 substrain of SHRSP and WKY was
constructed by genotyping 110 male F2 rats, which
were also used in the genome scan, and 6 additional rats (Figure 2
).
Statistical Analysis
The heritability was calculated separately for each sex, based
on the uncorrected data sets obtained with parental,
F1, and F2 generations. The
broad sense heritability for the F2 generation,
hb2, was estimated as
follows:
hb2=(F2
variance-Ve)/F2
variance,29 where Ve
stands for environmental variance, which was estimated by pooling the
variances of the 2 parental populations and the 2
F1 crosses in each sex.
Before linkage analysis, the trait phenotype was standardized to have a mean of 0 and a variance of 1 in each subgroup, separated by sex, to adjust for sex-related effects. Because the distributions for each sex separately were acceptably normal, the phenotype was analyzed in 2 ways: ie, on the combined data and separately by sex. Genetic effects of each maker locus on serum total cholesterol levels were evaluated with 1-way ANOVA. X-linked markers were analyzed apart from the autosomal markers according to the difference in parental origin of the marker alleles. Linkage maps were constructed by using the MAPMAKER/EXP 3.0 program30 with an error detection procedure, and genetic distances were calculated with Haldanes mapping function.31 Multipoint linkage analysis was performed by using the MAPMAKER/QTL 1.1 program.30 The map manager program of Manly (version 2.6.5)32 was also used to estimate the map location of the Hmgcr and Mvpd genes and marker distances in the selected region on rat chromosome 15. The statistical threshold recommended by Lander and Kruglyak33 was used to declare linkage, ie, a nominal P value of 1.6x10-3 or a log of the odds (LOD) score of 2.8 for "suggestive" linkage, and a nominal P value of 5.2x10-5 or an LOD score of 4.3 for "significant" linkage.
Epistatic interaction between markers from the region showing the strongest evidence of linkage was tested by 2-factor ANOVA, and the fraction of overall variance collectively attributable to identified QTLs was calculated by multivariate regression analysis.
| Results |
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Subsequently, we conducted a genome-wide search for QTLs controlling
serum cholesterol levels in the F2
population. A total of 161 microsatellite markers distributed across 20
rat autosomes and the rat X chromosome were characterized in the whole
F2 progeny (104 males and 106 females). The typed
markers spanned
1720 centimorgans (cM) of the genome in sex-averaged
genetic length, with an average spacing of 12.3 cM. The strongest
evidence of linkage was found in the region on rat chromosome 15
(P<10-6 for the entire
progeny), whereas 2 other regions on rat chromosomes 5 and 7 also
showed significant evidence of linkage in either of the sex subgroups.
SHRSP-derived alleles revealed a dominant mode of
cholesterol-lowering effects in male rats
(P<10-6) alone for the
chromosome 5 QTL and in female rats (P=0.001) alone for the
chromosome 7 QTL (Table 4
). LOD score
plots by multipoint linkage analysis are shown in Figure 2
(chromosome 15) and Figure 3
(chromosomes 5 and 7). Percentages of variance
(R2) attributed to individual QTLs
were 28% for the chromosome 5 QTL and 16% for the chromosome 15 QTL
in male rats and 14% for the chromosome 7 QTL and 19% for the
chromosome 15 QTL in female rats; these values were calculated at the
most closely linked markers from each chromosome region. When
considered simultaneously, QTLs thus detected accounted for
40% and 29% of the phenotypic variance in male and female rats,
respectively. There was no significant epistatic interaction between
the cholesterol QTLs in either sex.
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To pursue the relevance of the cholesterol QTLs to stroke,
we performed a substrain comparison of marker alleles in the region
spanning D15Mgh7 to Ednrb on rat chromosome 15,
in which the strongest evidence of linkage was found in the whole group
of F2 animals (Figure 2
). Because all SHR
substrains were derived from a single pair of progenitors, in theory as
many as 4 alleles can be observed for any marker locus. Allele
sizes of all available markers that exhibited polymorphism between
SHRSP (A3 substrain) and WKY were determined in base pairs for 7 SHR
substrains and WKY (see Methods) and were then categorized into 3
groups: the SHRSP-type (A3 substrain) allele, the WKY-type
allele, and alleles different from both types. On the basis of
the constructed genetic linkage map and allele distribution
pattern, the B2 substrain of SHRSR and SHRSP substrains shared a large
chromosome fragment identical by descent in the region investigated
(
40 cM), except for a small gap (<7 cM) between D15Mgh2
and D15Rat21 (Figure 2
).
As a complementary approach to the genome scan, 2 candidate genes, Hmgcr and Mvpd, were investigated. Iritani et al14 have reported that decreased biosynthesis of cholesterol in the liver is characteristic of SHRSP, in which Hmgcr (the product of Hmgcr) is generally considered to be a rate-limiting enzyme. Sawamura et al24 have also indicated that among a number of enzymes regulating hepatic cholesterol synthesis, the activity of Mvpd (the product of Mvpd) is reduced by 50% in the liver soluble fractions of SHRSP compared with those of WKY, whereas these authors have not found any significant difference in Hmgcr enzyme activity. We mapped the rat homologue of Hmgcr to chromosome 2 (genetic distances are expressed in cM) as follows: D2Rat3-(6.8)-Hmgcr-(10.4)-D2Mgh2-(18.2)-D2Mit6-(11.7)-D2Wox6-(26.7)-D2Mgh10-(10.2)-D2Mgh12-(20.2)-D2Mgh13-(8.4)-D2Mit16, and the rat homologue of Mvpd to chromosome 19 as follows: Mvpd-(11.8)-D19Mit7-(7.2)-D19Wox4-(11.8)-D19Wox3-(6.4)-D19Mit3. No significant linkage was detected between the cholesterol trait and either of the candidate gene loci in the F2 population. On the other hand, the rat gene encoding lecithin:cholesterol acyltransferase (Lcat) had been mapped to chromosome 19 (presumably in the interval between D19Mit7 and D19Wox4 of the above linkage map),34 and it could be a potential candidate gene as well. We were unable to exactly assign this locus in our linkage map, as the CA-repeat sequences, which we identified in the last intron of the Lcat gene (GenBank accession No. AF 074964), turned out not to be polymorphic between the 2 parental strains. There was no significant cosegregation of the cholesterol trait with any of the 5 markers typed on rat chromosome 19, suggesting that Lcat was unlikely to be linked to the trait in the F2 population studied.
| Discussion |
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Strong evidence of linkage was found on rat chromosome 5 in male rats alone (P<10-6). Of note is the fact that this region on rat chromosome 5 apparently overlaps with a QTL for infarct volumes after middle cerebral artery occlusion (so-called ischemic vulnerability) reported by Jeffs et al36 and also partially overlaps with a QTL for the latency of stroke reported by Rubattu et al.37 However, ischemic vulnerability has been shown to be inherited as a dominant trait in both sexes,38 and the QTL in question did not indicate any sex specificity in the F2 progeny. Therefore, it is unlikely that the identical susceptibility gene (or genes) would affect these 2 distinct phenotypes in SHRSP. Similar arguments can be proposed for the stroke-latency QTL, although only the linkage data analyzed for both sexes together were presented in the relevant report.37 For the region on rat chromosome 7, linkage was found in female rats alone (P=0.001). It is of interest that a cluster of QTLs for lipoprotein metabolism has been reported on mouse chromosome 15,39 40 which appears to be homologous to the region harboring the rat chromosome 7 QTL in our study.
Gametic imprinting could be a potential mechanism for quantitative traits to be differentially expressed by sex.41 Although the F2 population used in the present study was produced by reciprocal crossbreeding for the investigation of sex chromosome effects, it does not provide sufficient statistical power in analyzing the data cohort by cohort, because each F2 cohort comprised a relatively small, unequal number of rats. Further work is thus required to explore the imprinting hypothesis by increasing the number of animals in each cohort.
Two genome screens were previously undertaken for lipid traits in experimental crosses derived from SHR (a substrain of SHRSR in our nomenclature): 1 is between SHR and Brown Norway (BN) rats,34 and the other is between SHR and spontaneously diabetic rats (BB/OK).42 In both cases, SHR showed lower cholesterol levels than did the control strains BN and BB/OK. The former study reported a QTL for the HDL2 cholesterol fraction on rat chromosome 19 but none for total cholesterol, whereas the latter indicated a QTL for total cholesterol on rat chromosome 18. Neither of the corresponding chromosome regions was linked to serum total cholesterol levels of SHRSP and WKY in our study.
Different from humans, rodents have plasma cholesterol mainly in the HDL fraction rather than the LDL and VLDL fractions.43 It is therefore possible that defects in the SHRSP occur not in the processes of cholesterol synthesis but rather in reverse cholesterol transport from tissues to plasma, which governs maturation of HDL particles. This may be supported by observations that the SHRSP has the most prominent cholesterol reduction in the apo Erich HDL fraction18 and that cholesterol levels in both LDL and VLDL fractions can be markedly increased in SHRSP when fed a high-fat, high-cholesterol diet.13 15 18 Because reverse cholesterol transport is mediated by Lcat,44 we investigated the Lcat gene locus as well as the 2 candidate genes (Hmgcr and Mvpd) involved in cholesterol biosynthesis, in all cases resulting in the absence of a linkage with total cholesterol levels. Caution is needed in extrapolating findings from rats to humans, because lipoprotein metabolism and the composition of serum cholesterol are known to be considerably different between the 2 species.43
Now that the cholesterol trait in SHRSP has been proved to
be substantially determined by genetic factors, one may raise the
question of whether this trait is associated with stroke proneness, a
unique characteristic of SHRSP, at all. Only circumstantial evidence
has so far been obtained regarding this
speculation.13 14 15 18 19 It is, however, not
practicable to examine the speculation directly in the
F2 population involving SHRSP and WKY because
only a small proportion of F2 animals (8.4%)
eventually suffered from stroke due to a milder blood pressure
elevation than did the parental SHRSP.45 As an alternative
approach, we took notice of substrain differences in marker alleles
from the linked region on rat chromosome 15. So far as the genealogy of
SHR is concerned, substrains of SHRSP (A1-sb, A3, and A4) were
separated from substrains of SHRSR (B1, B2, CH, and CL) at the
F11 generation, and thereafter selective
inbreeding was conducted for stroke proneness.16
Consequently, a striking contrast in stroke proneness was observed
between SHRSP and SHRSR. The mutations promoting stroke should
therefore clearly differentiate SHRSP from SHRSR substrains. In the
investigated region, we found a small interval (<7 cM) that satisfied
the above criterion (Figure 2
). These findings can be further
applied to the following strategies: (1) development of a congenic line
by transferring the WKY gap fragment to the genetic background of SHRSP
to see whether the small interval harbors susceptibility for both
traits and (2) linkage analysis in an F2
population involving SHRSP and any of the SHRSR substrains that would
be useful to explore the relationship between the region of interest
and stroke. All F2 rats in such a cross would be
expected to develop severe hypertension from an early age and hence,
would be more suitable for monitoring the incidence of stroke than are
F2 progenies with WKY, as Rubattu et
al37 actually performed in an F2
cross bred from SHRSP and SHR from a German colony. In the molecular
genetics of stroke, 2 previous studies have undertaken genome-wide
linkage analysis with "stroke-associated"
phenotypes in F2 populations derived from
SHRSP and have detected QTLs for each of the phenotypic traits
tested.36 37 It should be stressed that these traits do
not exclusively represent stroke proneness in SHRSP. Given the
likely polygenic nature of stroke proneness, there may exist a number
of susceptibility loci for different physiological
pathways effecting stroke. The choice of an appropriate
phenotype, the so-called intermediate phenotype, would
be crucial to dissect complex genetic determinants. However, the
paucity of feasibly and reproducibly measurable phenotypes that
can reflect the degree of stroke proneness has hampered studies of the
molecular genetics of stroke in SHRSP. The cholesterol
trait, as examined in our study, or other impairments of lipoprotein
metabolism, eg, an exaggerated increase in serum
cholesterol levels after ingestion of a high-fat diet, may
constitute such a panel of intermediate phenotypes. Although
the possibility should be borne in mind that the
cholesterol trait is concomitantly inherited in SHRSP
simply by chance, further studies are warranted toward the
identification of relevant susceptibility genes to clarify this
ambiguity.
Received December 4, 1998; accepted June 22, 1999.
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J. R. Sheng, M. Jagodic, I. Dahlman, K. Becanovic, R. Nohra, M. Marta, E. Iacobaeus, T. Olsson, and E. Wallstrom Eae19, a New Locus on Rat Chromosome 15 Regulating Experimental Autoimmune Encephalomyelitis Genetics, May 1, 2005; 170(1): 283 - 289. [Abstract] [Full Text] [PDF] |
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O. Seda, F. Liska, D. Krenova, L. Kazdova, L. Sedova, T. Zima, J. Peng, K. Pelinkova, J. Tremblay, P. Hamet, et al. Dynamic genetic architecture of metabolic syndrome attributes in the rat Physiol Genomics, April 14, 2005; 21(2): 243 - 252. [Abstract] [Full Text] [PDF] |
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V. L.M. Herrera, T. Didishvili, L. V. Lopez, R. H. Myers, and N. Ruiz-Opazo Genome-Wide Scan Identifies Novel QTLs for Cholesterol and LDL Levels in F2[Dahl RxS]-Intercross Rats Circ. Res., March 5, 2004; 94(4): 446 - 452. [Abstract] [Full Text] [PDF] |
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N. Kato, T. Nabika, Y.-Q. Liang, T. Mashimo, H. Inomata, T. Watanabe, K. Yanai, Y. Yamori, Y. Yazaki, and T. Sasazuki Isolation of a Chromosome 1 Region Affecting Blood Pressure and Vascular Disease Traits in the Stroke-Prone Rat Model Hypertension, December 1, 2003; 42(6): 1191 - 1197. [Abstract] [Full Text] [PDF] |
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A. C.M. Bonne, M. G. den Bieman, G. F. Gillissen, A. Lankhorst, C. J. Kenyon, B. F.M. van Zutphen, and H. A. van Lith Quantitative Trait Loci Influencing Blood and Liver Cholesterol Concentration in Rats Arterioscler Thromb Vasc Biol, December 1, 2002; 22(12): 2072 - 2079. [Abstract] [Full Text] [PDF] |
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