Original Contributions |
From the Departments of Medicine and Microbiology and Molecular Genetics (L.G., M.W.J., A.J.L.), the Molecular Biology Institute, and the Department of Pathology (L.G.), University of California Los Angeles, Los Angeles, California.
Correspondence to Aldons J. Lusis, Division of Cardiology, Department of Medicine, UCLA School of Medicine, 47-123 CHS, 10833 Le Conte Ave, Los Angeles, CA 90095-1679. E-mail lusislab{at}medicine.medsch.ucla.edu
| Abstract |
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=-0.37, P<0.0001) among the F2 mice. HDL
cholesterol levels were in turn significantly associated
with aortic fatty streak lesions among the F2 mice (
=-0.17,
P=0.006). Further, there was a threshold effect of
autoantibody levels on the development of fatty streak lesions
(
=0.45, P=0.004 for 42 F2 mice with
anti-dsDNA Ab over 0.5 OD). Our results support the concept that the
high prevalence of coronary artery disease in systemic
lupus erythematosus is due in part to a
reduction of HDL cholesterol levels resulting from the
autoimmune disease.
Key Words: linkage analysis antibodies, antinuclear genes lupus erythematosus, systemic HDL
| Introduction |
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We have screened a number of inbred strains of mice for variations in plasma lipoprotein metabolism and noted that certain autoimmune strains, such as MRL/lpr mice and NZB/BINJ mice, exhibited significantly altered lipoprotein levels compared with other inbred strains.12 The observation that MRL/n mice, lacking the lpr mutation, exhibited very different lipoprotein profiles compared with MRL/lpr mice suggested that the unusual lipoprotein profiles were related to autoimmunity.13 14 Previous studies have also shown that MRL/lpr mice, a model for systemic lupus erythematosus (SLE), develop severe coronary lipid lesions and increased myocardial infarction when fed an atherogenic, high fat diet.13 14 This suggests that the autoimmune background may contribute to the abnormal lipoprotein metabolism and CAD seen in the MRL mice. In an attempt to dissect these interactions, we examined the genetic determinants of lipoprotein metabolism and atherogenesis in the MRL strain.
An intercross between autoimmune MRL/lpr and
nonautoimmune BALB/cJ strain mice, which also differ significantly for
lipoprotein levels and fatty streak lesion susceptibility, was
constructed. Four major chromosomal intervals controlling lipoprotein
levels, on chromosomes (Chrs) 5, 8, 15, and 19, were identified. Three
of these appear to result from nonautoimmune related genetic
variations. On the other hand, the Chr 19 QTL for HDL
cholesterol levels appears to result from the mutant
Fas gene carried in the MRL/lpr mice. The
Fas gene controls apoptosis of lymphocytes, and the
lpr mutation of the Fas gene, the primary cause
of autoimmune disease in MRL mice, leads to the accumulation of
autoantibodies.15 16 We observed a significant
negative correlation of autoantibody levels with HDL
cholesterol levels (
=-0.37, P<0.0001) in
the F2 mice, and HDL levels were inversely associated with
atherosclerotic lesions in the aorta (
=-0.17, P=0.006).
Moreover, there appeared to be a threshold effect of autoantibody
levels on lesion development, as only mice with high autoantibody
levels exhibited a strong association between autoantibody levels and
the size of aortic lesions. These findings indicate that autoimmunity
may promote atherogenesis in part by decreasing HDL
cholesterol levels, providing a possible explanation for
the high incidence of CAD in SLE patients.17 18 19
| Methods |
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Lipoprotein Assays
Mice were bled retro-orbitally under isoflurane
anesthesia (Forane, Anaquest) at 3.5 and 5.5 months of age
after overnight fasting. Blood was collected directly through
heparinized capillary tubes (Becton Dickinson) and plasma was separated
by centrifugation. Cholesterol assays were
performed in 96-well microtiter plates (Costar No. 3598) using a Biomek
1000 Automated Laboratory Workstation (Beckman). Plasma lipids were
determined as described,23 including total
cholesterol (TC), HDL cholesterol, and VLDL and
LDL (V/LDL) cholesterol. HDL cholesterol was
measured after the addition of heparin and manganese to precipitate
apolipoprotein B containing V/LDL, followed by
centrifugation at 15 000g for 15 minutes.
The supernatant solution was then used for determination of HDL
cholesterol.
Autoantibody Quantitation
IgG antibodies to double-stranded (ds) DNA were
quantitated by ELISA using calf thymus DNA (Sigma Chemical Co) coated
on 96-well polystyrene microtiter plates (Dynatech), as
described.24 Briefly, sera were added in 1:100 dilution in
0.5% hen egg albumin/phosphate buffered saline tween. One
hundred µL of the dilution was added to each well in duplicate.
Plates were incubated at 4°C overnight and washed 3 times with
phosphate buffered saline tissue. One hundred µL of goat
anti-mouse IgG alkaline phosphatase (So. Bioteck lot No. J194-Y894),
diluted 1:3000 in 0.5% hen egg albumin/phosphate buffered
saline tween, was added to each well and incubated at room temperature
for 1 hour. The wells were then washed 3 times in phosphate buffered
saline tissue and developed by adding phosphatase substrate in
diethanolamine buffer (Sigma 104). The absorbencies at 450 nm were
determined using a plate reader.
Fatty Streak Lesions
At the time when animals were euthanized, the heart and
proximal aorta were dissected and washed. The basal portion of the
heart and the root of the aorta were embedded in OCT compound
and frozen on dry ice. The region beginning at the aortic root and
continuing toward the aortic arch was sectioned for a distance of
approximately 400 µm. Every 10 µm section was collected,
stained with oil red O and hematoxylin, and counter-stained with
fast green. Each of these sections was reviewed by light
microscopy and then evaluated quantitatively. The cross-sectional area
of lipid-containing lesions was determined using a microscope eyepiece
grid (20x20-grid disk No. 478, AO Scientific Instruments). The areas
of all lesions in each section were averaged to give a total lesion
area per section.
Genotypic Analysis
Genomic DNA was isolated from mouse tails. Genotyping was done
by polymerase chain reaction (PCR) amplification of
microsatellite markers25 26 using PCR primer pairs
(MapPairs) purchased from Research Genetics. Primer pairs were first
screened for polymorphic bands between MRL/lpr and
BALB/cJ parental strains (data not shown), using the standard PCR
conditions suggested by Research Genetics.
Statistical Analysis
Phenotypic values are presented as the mean±SEM. ANOVA,
regression analysis, and correlation analyses were
performed on Macintosh computers using Statview (Abacus Concepts Inc)
application. Linkage analysis of the microsatellite markers
used was performed using the MAPMAKER27 and Map
Manager28 programs. The MAPMAKER/QTL and QT Manager
subprograms were used for quantitative trait linkage analysis
as described for F2 intercrosses,29 30 31 32 and both
analyses yielded similar results. Phenotypes were
sometimes normalized using either the log (trait) or square (trait)
functions. Calculations by Lander and Kruglyak30 suggest
that, for intercross free model analysis, a lod score over 4.3
indicates significant linkage, while a lod score of 2.8 to 4.3
indicates suggestive linkage (also see Discussion). Due to the nature
of the algorithms used for maximal likelihood estimation in QTL
analysis, lod score based on the mathematical model may not
necessarily reflect the true strength of the association of the locus
with the trait. Factors such as map distance, species, and trait
distribution also influence the thresholds for
significance.30 31 Therefore, we performed permutation
analysis according to the method of Churchill and
Doerge,31 using the QT Manager program. We determined the
maximal lod score peaks of 1000 randomly permutated trait data to test
in our data set how often a QTL could actually occur due to chance. By
taking a 95% cut off from the distribution obtained with the permuted
1000 maximal lod scores, a realistic significance threshold for a given
experimental data set was determined.31 The results were
similar to the threshold criteria proposed by Lander and
Kruglyak.30
| Results |
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MRL/lpr and BALB/cJ mice of both sexes were used to produce
F1 mice. Brother-sister mating of F1 mice produced 272 F2 mice with 128
males and 144 females. All the mice were fed a chow diet for 3.5
months, bled, and then given an atherogenic HF diet rich in fat and
cholesterol (see Methods) for another 2 months. They were
again bled and euthanized. Lipoprotein levels in F2 mice were measured,
and the distributions of these values are presented in Figure 1
. The broad range of lipoprotein levels
presumably reflects the oligogenic nature of the control of lipoprotein
metabolism. The majority of F2 animals showed values
between the parental extremes. The individuals with values outside the
parental strain ranges presumably resulted from the recombining of
genetic factors in the F2 mice; that is, certain F2 mice exhibited
higher or lower levels of lipoproteins than either parental strain due
to the inheritance of unique combinations of MRL/lpr and
BALB/cJ alleles. Table 2
shows the
relationship of various lipoprotein parameters on the chow
and HF diets.
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Mapping Chromosomal Loci Controlling Lipoprotein Levels
To identify loci contributing to differences in lipoprotein
levels, we performed QTL analysis on 189
(MRL/lprxBALB/cJ) F2 intercross mice. A total of 105
polymorphic microsatellite markers were used to construct a linkage
map (Figure 2
) designed to cover the
entire mouse genome at intervals of
20 centimorgans (cM). Due to a
failure in some cases to identify informative markers, gaps of more
than 20cM were present in 3 chromosomal regions. We then performed
statistical analysis of the relationships between
genotypes and phenotypes using the Mapmaker-QTL and the
QT Manager programs. Both programs yielded similar results (data not
shown). A summary of all the QTLs exhibiting lod scores >2.0 are
presented in Table 3
. Most of
these QTLs are located on 4 Chrs, with several lipoprotein
phenotypes coinciding at the same positions.
|
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UC, TC, and V/LDL cholesterol levels fed the atherogenic
diet exhibited QTLs at the position D5Mit10 (Figure 3A
), with lod scores of 4.1, 3.8, and
2.8, respectively (Table 3
). Mice homozygous for the MRL
allele of D5Mit10 exhibited lower UC levels, TC levels,
and V/LDL cholesterol levels at 5.5 months of age than
those heterozygous or homozygous for the BALB/cJ allele (Figure 3B
), whereas the mice homozygous for the BALB/cJ allele were
not different from heterozygous mice. This indicates a recessive
pattern of inheritance. The peak QTLs for all 3 lipoprotein levels
exhibited coincident locations, suggesting that they all result from
the same gene (Figure 3B
).
|
UC levels on a chow diet exhibited a suggestive QTL at the marker
D8Mit242 (Figure 4A
), with a
lod score of 3.1 (Table 3
). Coincident with this QTL was a QTL
for TC levels on a chow diet, exhibiting a peak lod score of 2.1. Mice
homozygous for the MRL allele of D8Mit242 exhibited
higher TC levels than those homozygous for the BALB/cJ allele.
Heterozygotes exhibited intermediate levels. In addition, mice
homozygous for the MRL allele of D8Mit242 exhibited
higher V/LDL and UC levels than those homozygous for the BALB/cJ
allele (Figure 4B
). A promising candidate gene,
lecithin-cholesterol acyltransferase (LCAT), is
located precisely under the peak lod score. The LCAT activity was
previously reported to be significantly decreased (by 41%) in
MRL/lpr mice13 compared with strain ICR
mice, suggesting that the increased UC levels in mice of the MRL
genotype are due to deficient LCAT function.
|
TC, V/LDL cholesterol, and UC levels on the
atherogenic diet exhibited significant QTLs at the position
D15Mit17 (Figure 5A
), with lod
scores of 11.1, 6.7, and 4.6, respectively (Table 3
). Mice
homozygous for the MRL allele of D15Mit17 exhibited
higher TC and V/LDL cholesterol on the atherogenic diet
than those homozygous for the BALB/cJ allele. Heterozygotes
exhibited levels intermediate between the parental strains (Figure 5B
). The peak QTLs for these 3 lipoprotein levels exhibited
coincident locations.
|
Chr 19 contained QTLs controlling levels of HDL cholesterol
(lod score 8.4) and TC (lod score 3.8) fed the atherogenic diet (Figure 6A
, Table 3
). The Fas
gene is located about 1 cM from the marker D19Mit12 and is a
very attractive candidate gene underlying the Chr 19 QTL (see below).
Mice homozygous for the MRL allele of D19Mit12 exhibited
lower HDL cholesterol levels than those homozygous for the
BALB/cJ allele (Figure 6B
). The peak QTLs for the above 3
lipoprotein levels exhibited coincident locations (Figure 6A
).
|
Interactions Between Autoimmune Disease, Lipoprotein
Metabolism, and Atherosclerosis
The MRL/lpr mouse has many features of generalized
autoimmune disease. As a quantitative measure of autoimmune disease, we
determined the levels of anti-dsDNA antibodies in both parental strains
as well as F1 and F2 mice. MRL/lpr mice exhibited
significantly higher levels of autoantibodies than BALB/c mice (with OD
numbers after ELISA assays of 0.94±0.34 versus 0.05±0.01). F1 mice
had levels of anti-dsDNA antibodies intermediate between the parental
strains. The anti-dsDNA antibody levels of the F2 mice exhibited a
nonnormal distribution (Figure 7
).
Previous studies have shown that the Fas gene mutation is
the primary determinant of autoimmune disease, including autoantibody
levels, in MRL/lpr mice.16 We confirmed
this finding in the present cross. In particular, the
D19Mit12 marker yielded a highly significant QTL for
anti-dsDNA antibody levels in the F2 mice (lod
score>60).32a The other 3 lipoprotein QTLs identified in
this cross, on Chrs 5, 8, and 15, showed no evidence of linkage to
autoantibody levels in either the entire F2 population or the
subpopulation that was homozygous for lpr or the
subpopulation without the lpr mutation (data not shown).
|
We hypothesized that the Fas gene may influence HDL
cholesterol levels and promote fatty streak lesion
development through effects on autoantibody levels. To test this
hypothesis, we compared autoantibody levels to HDL
cholesterol levels in the 272 (MRL/lpr X
BALB/cJ) F2 intercross mice. As seen in Table 4
, anti-dsDNA antibody levels were
inversely correlated with HDL cholesterol levels.
(
=-0.37, P<0.0001). These results support the conclusion that the
Fas gene mutation underlies the Chr 19 QTL for HDL
cholesterol levels.
|
SLE patients exhibit about a tenfold increased rate of premature CAD
compared with control populations.17 The above results
suggested that this could be due, in part, to effects of autoimmune
disease on lipoprotein metabolism. To test this hypothesis,
we examined aortic fatty streak lesions in the parental strains and in
their F2 progeny. Consistent with previous
findings,12 BALB/cJ mice are relatively resistant
to the development of fatty streak lesions in the aorta when challenged
with an atherogenic diet, whereas strain MRL/lpr mice are
moderately susceptible. The distribution of the fatty streak lesion
scores in the F2 animals is shown in Figure 7
. In the entire F2
population of 272 mice, the sizes of aortic lesions were not
significantly associated with autoantibody levels (Table 4
).
However, there was a significant correlation between lesion size and
autoantibody levels in the 44 mice homozygous for the lpr
mutation (
=0.31, P=0.04). No correlation was
observed in heterozygous mice or mice homozygous for the wild type
Fas gene. This suggested a threshold effect on lesion
development with respect to autoantibody levels. In support of this
possibility, a more significant correlation was observed in animals
with anti-dsDNA Ab levels over 0.5 OD (total 42 mice,
=0.45,
P=0.004, Table 4
). As expected from human
epidemiological data and previous studies in mice, HDL
cholesterol levels were significantly and inversely
correlated with the size of aortic lesions (Table 4
,
=-0.17,
P=0.006). The relatively low correlation coefficient is
presumably due to the fact that the aortic lesions are determined by
multiple genetic factors, such as LDL levels and factors acting at the
level of the artery wall, in addition to HDL levels. Since autoantibody
levels are strongly correlated with HDL cholesterol levels,
one mechanism by which autoimmunity contributes to atherogenesis is to
decrease HDL cholesterol levels.
| Discussion |
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These data add to our understanding of genetic factors
contributing to lipoprotein metabolism in the mouse model.
A summary of QTLs for lipoprotein metabolism identified in
this cross and in previous genetic studies is presented in
Figure 8
. The locations of QTLs are
indicated by boxes centered around the peak lod scores obtained by
interval mapping, and candidate genes are indicated by crossbars and
gene symbols (see Reference 3333 for description of candidate genes). Two
of the loci observed in this cross, on Chrs 15 and 19, exhibited highly
significant lod scores (11.1 and 8.4, respectively), and 2 of the loci,
on Chrs 5 and 8, exhibited suggestive lod scores (4.1 and 3.1,
respectively). The latter 2 loci are supported by coincident QTLs
observed in previous studies (Chr 5) and by a very strong candidate
gene (Chr 8). The mechanisms by which these loci contribute to
lipoprotein metabolism can now be further examined by
analyzing the expression of candidate genes located within the QTLs and
by isolation of the individual loci as congenic
strains.34 35
|
The Chr 5 QTL, centered around marker D5Mit10, occurs at about the same location as QTLs controlling TC and HDL cholesterol levels observed previously in 2 other genetic crosses, a (NZB/B1NJxSM/J) F2 intercross10 and a (C57BL/6JxC3H/HeJ) F2 intercross.11 An interesting candidate gene located within this region is the class B scavenger receptor (Srb1), which has been reported recently to encode an HDL receptor.36 Recently, we mapped this gene to mouse Chr 5, adjacent to the microsatellite marker D5Mit10.37 The SRB-1 protein has been shown to bind various lipoproteins, including HDL, with high affinity. It is expressed primarily in liver and nonplacental steroidogenic tissues and mediates selective cholesterol uptake by a mechanism distinct from the classic LDL receptor pathway.38 39 A recent study in which SRB-1 was expressed using an adenoviral vector revealed a dramatic impact on HDL cholesterol levels.40 Another possible candidate gene located in the 95% confidence interval region of the Chr 5 QTL is the gene for mevalonate kinase, which converts mevalonic acid to 5-phospho-mevalonic acid in the cholesterol biosynthetic pathway.41 42
It should be mentioned that while coincident loci mapped in various genetic crosses might represent the same underlying gene, the possibility of different genes cannot be ruled out.
The Chr 8 QTL, centered around marker D8Mit242,
contains the LCAT gene, which is located within about 2 cM of marker
D8Mit242. LCAT catalyzes the esterification of free
cholesterol present in plasma lipoproteins, and
deficiencies of LCAT result in decreases in HDL cholesterol
levels and increases in UC levels. Recently, transgenic mice expressing
the human LCAT gene were established and found to exhibit increased TC
and HDL cholesterol levels and decreased V/LDL
cholesterol levels.43 44 Interestingly,
strain MRL/lpr mice exhibit about half the LCAT activity of
strain ICR mice.13 The QTL on Chr 8 also leads to
significantly increased V/LDL cholesterol and UC levels
(Figure 4B
), consistent with the hypothesis that LCAT
deficiency in MRL/lpr mouse underlies the Chr 8 QTL in this
cross. Northern analyses using age controlled female mice fed
the chow diet showed no significant difference in LCAT mRNA levels
between MRL/lpr and BALB/cJ mice (data not shown). Thus, it
is likely that any difference in LCAT expression occurs at the
translational or posttranslational level.
The Chr 15 QTL is centered near the marker D15Mit17 and appears to be the major determinant of both V/LDL and HDL levels in this cross. QTLs controlling TC and V/LDL cholesterol levels occur at the same position in an (NZB/B1NJxSM/J) F2 intercross10 and a (C57BL/6JxC3H/HeJ) F2 intercross.11 An interesting candidate gene, Srebf2, lies within this region. This gene was recently mapped to Chr 15,33 adjacent to the microsatellite marker D15Mit31, within the 95% confidence region of the Chr 15 QTL. The SREBP-2 protein belongs to a family of basic-helix-loop-helix-leucine zipper transcription factors that recognize sterol regulatory element 1. Sterol regulatory element 1, a conditional enhancer in the promoters for the LDL receptor gene, HMG-CoA synthase gene, and a number of other sterol responsive genes, increases transcription at low concentrations of sterols and is inactivated when sterols accumulate.45
The Chr 19 QTL is near the marker D19Mit12. Our
results suggest that the Fas gene underlies this QTL. The
lpr mutation carried by the MRL/lpr mice was
defined as the defective Fas apoptotic
gene.15 This mutation leads to a breakdown of the
central and/or peripheral tolerance, which results in the
failure to properly clear CD4/CD8 negative T cells. In a previous
genetic study, as well as the present cross, the Fas
gene was identified as the major defect underlying the autoimmune
manifestations, especially autoantibody levels.16 Our
results showed that HDL cholesterol levels were strongly
correlated with the levels of autoantibodies in the F2 mice. For
example, at 5.5 months of age, when MRL/lpr mice and most F2
mice homozygous for the lpr mutation exhibited severe
autoimmune disease, levels of HDL cholesterol were
correlated with levels of autoantibodies to dsDNA (
=-0.37,
P<0.0001). At 3.5 months of age, when the manifestations of
autoimmune disease were less severe, weaker correlations between levels
of HDL cholesterol and levels of autoantibodies to dsDNA
(
=-0.21, P=0.0001) were observed. Thus, our data provide
strong evidence for a link between autoimmune disease and HDL
metabolism.
The molecular mechanisms mediating the interaction between autoimmune disease and HDL metabolism are unknown, although there are some plausible explanations. First, inflammatory processes frequently influence lipoprotein levels, possibly through the actions of various cytokines and growth factors. For example, macrophage-colony stimulating factor dramatically influences the levels of circulating lipoproteins and the uptake of oxidized lipoproteins by macrophages.46 47 Thus, the effects of the Fas gene mutation on HDL metabolism could be secondary to the inflammation accompanying autoimmune disease. Since the lpr mutation leads to the accumulation of autoantibodies, another possibility is that the autoantibodies in MRL/lpr mice cross-react with oxidized lipoprotein particles, resulting in increased HDL turnover. Some evidence suggest that lipoproteins in MRL/lpr mice are prone to oxidation.48 Recently, monoclonal anticardiolipin autoantibodies established from (NZWxBXSB) F1 and apoE knockout mice were shown to cross-react with oxidized lipoproteins.49 50 Because HDL is the major carrier of lipid hydroperoxides in human plasma,51 the HDL in MRL/lpr mice may be recognized by autoantibodies, leading to increased HDL turnover. The presence of anticardiolipin antibodies in apoE knockout mice, which develop advanced atherosclerotic lesions, could also explain the low levels of HDL cholesterol observed in these mice.50
Well over a dozen loci contributing to lipoprotein metabolism have now been reported in genetic studies of inbred strains of mice,9 10 11 including this study. The picture that emerges is one in which a large number of separate genes contribute to differences in lipoprotein levels and structures among inbred strains. Although additional loci are likely to be identified in future studies, the fact that many of the loci have been observed in multiple crosses involving different inbred strains of mice suggests that many of the major genetic factors, perhaps most, have now been identified. For example, the Chr 5 and 15 QTLs reported here were observed in previous studies.10,11 It should be noted that these genetic loci represent only those with the largest impact on lipoprotein metabolism, and there are undoubtedly many more loci which cannot be detected with confidence using 200 or 300 animals in a cross. A similar level of genetic complexity might be expected for common variations of lipoproteins in human populations. Some of the underlying genes have been identified using a positional candidate gene approach (discussed in Reference 3333 ), but most remain unknown. In mice, gene identification for complex traits is simplified by the ability to isolate QTLs as congenic strains and perform fine structure mapping.9 35 In addition, because of the homology of human and rodent Chrs, it is in some cases possible to predict the locations of human loci corresponding to mouse QTLs. For example, we recently identified a locus for multigenic obesity in a region of mouse Chr 2 that was homologous to a large region of human Chr 20. When this region of Chr 20 was examined in families assessed for measures of body fat, significant linkage was observed with both body fat and insulin levels.52 Thus, the studies in mice should help explain, in part, common variations of lipoprotein metabolism in humans.
Our studies also help to clarify the possible causes of the very high incidence of CAD and death from myocardial infarction in patients with SLE. The lpr mutation of the Fas gene, the primary determinant of autoimmune disease in this genetic cross, appears to have a major impact on HDL cholesterol levels, as F2 mice carrying the lpr mutation exhibited decreased levels of HDL cholesterol. HDL cholesterol levels were, in turn, significantly associated with the size of aortic atherosclerotic lesions. Thus, in this model, the autoimmune phenotype contributes to the development of atherosclerosis by depressing levels of HDL cholesterol. Some human studies are consistent with the concept that autoimmune disease negatively impacts plasma lipoprotein levels, although the magnitude of this effect would not explain the dramatic increase in CAD death in SLE patients.53
Our data also suggest that autoimmune disease may impact more directly on atherosclerosis. Although we failed to observe a significant correlation between autoantibody levels and atherosclerosis in the entire F2 cross, a significant correlation was observed among mice expressing high levels of autoantibodies. This suggests a threshold effect.
| Acknowledgments |
|---|
Received February 4, 1998; accepted July 2, 1998.
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