BACKGROUND: Deoxycorticosterone (DOC) is an endogenous neurosteroid found in brain and serum, precursor of the GABAergic neuroactive steroid (3α,5α)-3,21-dihydroxypregnan-20-one (tetrahydrodeoxycorticosterone, THDOC) and the glucocorticoid corticosterone. These steroids are elevated following stress or ethanol administration, contribute to ethanol sensitivity, and their elevation is blunted in ethanol dependence. METHODOLOGY/PRINCIPAL FINDINGS: To systematically define the genetic basis, regulation, and behavioral significance of DOC levels in plasma and cerebral cortex we examined such levels across 47 young adult males from C57BL/6J (B6)×DBA/2J (D2) (BXD) mouse strains for quantitative trait loci (QTL) and bioinformatics analyses of behavior and gene regulation. Mice were injected with saline or 0.075 mg/kg dexamethasone sodium salt at 8:00 am and were sacrificed 6 hours later. DOC levels were measured by radioimmunoassay. Basal cerebral cortical DOC levels ranged between 1.4 and 12.2 ng/g (8.7-fold variation, p<0.0001) with a heritability of ∼0.37. Basal plasma DOC levels ranged between 2.8 and 12.1 ng/ml (4.3-fold variation, p<0.0001) with heritability of ∼0.32. QTLs for basal DOC levels were identified on chromosomes 4 (cerebral cortex) and 14 (plasma). Dexamethasone-induced changes in DOC levels showed a 4.4-fold variation in cerebral cortex and a 4.1-fold variation in plasma, but no QTLs were identified. DOC levels across BXD strains were further shown to be co-regulated with networks of genes linked to neuronal, immune, and endocrine function. DOC levels and its responses to dexamethasone were associated with several behavioral measures of ethanol sensitivity previously determined across the BXD strains by multiple laboratories. CONCLUSIONS/SIGNIFICANCE: Both basal and dexamethasone-suppressed DOC levels are positively correlated with ethanol sensitivity suggesting that the neurosteroid DOC may be a putative biomarker of alcohol phenotypes. DOC levels were also strongly correlated with networks of genes associated with neuronal function, innate immune pathways, and steroid metabolism, likely linked to behavioral phenotypes.
BACKGROUND:Deoxycorticosterone (DOC) is an endogenous neurosteroid found in brain and serum, precursor of the GABAergic neuroactive steroid (3α,5α)-3,21-dihydroxypregnan-20-one (tetrahydrodeoxycorticosterone, THDOC) and the glucocorticoid corticosterone. These steroids are elevated following stress or ethanol administration, contribute to ethanol sensitivity, and their elevation is blunted in ethanol dependence. METHODOLOGY/PRINCIPAL FINDINGS: To systematically define the genetic basis, regulation, and behavioral significance of DOC levels in plasma and cerebral cortex we examined such levels across 47 young adult males from C57BL/6J (B6)×DBA/2J (D2) (BXD) mouse strains for quantitative trait loci (QTL) and bioinformatics analyses of behavior and gene regulation. Mice were injected with saline or 0.075 mg/kg dexamethasone sodium salt at 8:00 am and were sacrificed 6 hours later. DOC levels were measured by radioimmunoassay. Basal cerebral cortical DOC levels ranged between 1.4 and 12.2 ng/g (8.7-fold variation, p<0.0001) with a heritability of ∼0.37. Basal plasma DOC levels ranged between 2.8 and 12.1 ng/ml (4.3-fold variation, p<0.0001) with heritability of ∼0.32. QTLs for basal DOC levels were identified on chromosomes 4 (cerebral cortex) and 14 (plasma). Dexamethasone-induced changes in DOC levels showed a 4.4-fold variation in cerebral cortex and a 4.1-fold variation in plasma, but no QTLs were identified. DOC levels across BXD strains were further shown to be co-regulated with networks of genes linked to neuronal, immune, and endocrine function. DOC levels and its responses to dexamethasone were associated with several behavioral measures of ethanol sensitivity previously determined across the BXD strains by multiple laboratories. CONCLUSIONS/SIGNIFICANCE: Both basal and dexamethasone-suppressed DOC levels are positively correlated with ethanol sensitivity suggesting that the neurosteroid DOC may be a putative biomarker of alcohol phenotypes. DOC levels were also strongly correlated with networks of genes associated with neuronal function, innate immune pathways, and steroid metabolism, likely linked to behavioral phenotypes.
Deoxycorticosterone (DOC) is an endogenous neurosteroid present in the brain as well
as in the peripheral circulation. It is synthesized from progesterone, mainly in the
adrenal zona fasciculata and it is precursor of both the glucocorticoid
corticosterone and the GABAergic neuroactive steroid
(3α,5α)-3,21-dihydroxypregnan-20-one (tetrahydrodeoxycorticosterone, THDOC).
These steroids are all elevated following acute stress [1] or ethanol administration in
rats, and their elevation is blunted in ethanol dependence [2], [3], [4]. The ethanol-induced increases
in neurosteroid levels are mediated by the hypothalamic-pituitary-adrenal (HPA)
axis, since they are no longer observed following adrenalectomy/gonadectomy [5], [6], [7] or hypophysectomy
[8]. Indeed, HPA
axis regulation of neurosteroids appears to be critical in several neuropsychiatric
disorders including alcoholism. DOC levels are regulated by hypothalamic and
pituitary activation of the HPA axis in both cynomolgus monkeys and humans, and this
regulation is altered following ethanol dependence [9], [10]. Furthermore, we have found that
dexamethasone suppression of plasma DOC levels predicted subsequent voluntary
alcohol consumption in ethanol-naïve cynomolgus monkeys [9]. That is, ethanol-naïve
monkeys that are insensitive to dexamethasone drink the most alcohol in a two-bottle
self-administration paradigm, suggesting that DOC responses may be putative
biomarkers of excessive drinking phenotypes.Individual differences in vulnerability to alcoholism have a genetic component [11], [12], [13], [14].
Furthermore, studies in rodents indicate a shared genetic sensitivity to ethanol,
anxiety, and stress/HPA axis response [15], [16], [17]. Inbred mice are an excellent
population model to study genetic and phenotypic variability. In particular, the
C57BL/6J (B6)×DBA/2J (D2) (BXD) recombinant inbred strains have proved to be
an extremely valuable reference population to study networks of phenotypes and their
modulation by gene variants [18], [19], [20], [21]. The parental strains, B6 and D2, have been sequenced,
and approximately five million single nucleotide polymorphisms (SNPs) between them
have been identified. Several behavioral phenotypes for ethanol and stress/anxiety
have already been characterized across the BXD strains by several independent labs
and data is publicly available in GeneNetwork (www.genenetwork.org), a
public repository of genetic and phenotypic data as well as a resource for
multivariate genetic analysis of complex traits in genetic reference populations
[22], [23], [24], [25].In the present study we systematically defined genetic variation in basal levels of
the neurosteroid DOC and dexamethasone-induced DOC responses across the BXD strains.
We further analyzed genetic correlations between DOC levels and genetic or
phenotypic data previously determined in the BXD panel by multiple independent
laboratories and available in GeneNetwork.
Results
Basal DOC levels in BXD strains
We examined basal DOC levels across the BXD strains, including their parental
strains and the B6D2 F1 hybrid. The data was obtained from the saline-treated
mice. There was significant genetic variation in basal DOC levels in both
cerebral cortex and plasma, as revealed by comparison of basal DOC levels across
all the strains by one-way ANOVA. Figure 1a shows cerebral cortical DOC levels across the BXD strains
examined (n = 42) as well as, the B6D2 F1
and the parental strains. Values range between 1.4 and 12.2 ng/g resulting in
8.7-fold genetic variation
[F(43,246) = 4.33,
p<0.0001] of this trait. Heritability
(h) for this trait was estimated to be
approximately 0.37 using a conservative measure (the intraclass correlation, see
http://www.genenetwork.org/glossary.html#H) or ∼0.68 using
the Hegmann and Possidente's method [26]. Basal plasma DOC levels
across the BXD strains examined (n = 47),
the B6D2 F1 hybrid and the parental strains range between 2.8 and 12.1 ng/ml,
resulting in a 4.3-fold genetic variation
[F(48,282) = 3.69,
p<0.0001] (Figure 1b). Heritability (h) for this
trait was estimated to be ∼0.32 using the intraclass correlation and
∼0.65 using the Hegmann and Possidente's method. The similar pattern of
variation resulted in a positive correlation between plasma vs. cerebral
cortical basal DOC levels across these strains (Pearson
r = 0.78, p<0.0001;
Spearman r = 0.74, p<0.0001,
n = 43 strains, including parents and
F1 hybrids; figure 2). This
indicates that approximately 60% of the variance is shared between these
traits and that as much as 40% is unique to each tissue source.
Figure 1
Variation in basal DOC levels across the BXD strains.
Mice were injected with saline at 8:00 am and were sacrificed 6 hours
later. Data are expressed as ng/g (cerebral cortex) or ng/ml (plasma)
and are means ± SEM of values from 2–9 mice per strain. The
x axis reports the BXD strain number; C57BL/6J
(B6), DBA/2J (D2) and B6D2 F1 hybrid are also indicated. Strains are
plotted in order from the lowest to the highest DOC levels for cerebral
cortex (42 BXD strains) or plasma (47 BXD strains), respectively.
One-way ANOVA was used to estimate significant genetic variation.
Figure 2
Correlation between cerebral cortical vs. plasma basal DOC levels
across the BXD strains.
DOC levels are expressed in ng/g (cerebral cortex) or ng/ml (plasma).
Gray squares represent BXD strains, black squares are C57BL/6J (B6) and
DBA/2J (D2) strains and dark gray square is the B6D2 F1 hybrid. Pearson
r = 0.78,
p<0.0001; Spearman
r = 0.74,
p<0.0001;
n = 43.
Variation in basal DOC levels across the BXD strains.
Mice were injected with saline at 8:00 am and were sacrificed 6 hours
later. Data are expressed as ng/g (cerebral cortex) or ng/ml (plasma)
and are means ± SEM of values from 2–9 mice per strain. The
x axis reports the BXD strain number; C57BL/6J
(B6), DBA/2J (D2) and B6D2 F1 hybrid are also indicated. Strains are
plotted in order from the lowest to the highest DOC levels for cerebral
cortex (42 BXD strains) or plasma (47 BXD strains), respectively.
One-way ANOVA was used to estimate significant genetic variation.
Correlation between cerebral cortical vs. plasma basal DOC levels
across the BXD strains.
DOC levels are expressed in ng/g (cerebral cortex) or ng/ml (plasma).
Gray squares represent BXD strains, black squares are C57BL/6J (B6) and
DBA/2J (D2) strains and dark gray square is the B6D2 F1 hybrid. Pearson
r = 0.78,
p<0.0001; Spearman
r = 0.74,
p<0.0001;
n = 43.
Genetic correlations with behavioral phenotypes across the BXD
strains
Variation in basal DOC levels in both plasma and cerebral cortex was linked to
several ethanol and anxiety phenotypes previously characterized across the BXD
strains by other laboratories whose data are available in GeneNetwork (Figures 3 and 4). Basal DOC levels are
positively correlated with increased ethanol-induced sedation (Pearson's
r = 0.63,
p = 0.008, Spearman's
r = 0.64,
p = 0.006,
n = 16; [27]), ethanol-induced ataxia
(Pearson's r = 0.49,
p = 0.024, Spearman's
r = 0.57,
p = 0.006,
n = 21; [28]), and ethanol-induced
corticosterone levels (Pearson's
r = 0.67,
p = 0.003, Spearman's
r = 0.73,
p = 0.0005,
n = 17; [29]) (Figure 3).
Figure 3
Genetic correlations between basal cerebral cortical or plasma DOC
levels and behavioral phenotypes for ethanol sensitivity previously
characterized in the BXD strains.
Behavioral data for ethanol sensitivity has been collected by multiple
independent labs and has been obtained from GeneNetwork (www.genenetwork.org). A) Pearson's
r = 0.63,
p = 0.008, Spearman's
r = 0.64,
p = 0.006,
n = 16; Rodriguez et
al., 1994, GN ID 10586. B) Pearson's
r = 0.49,
p = 0.024, Spearman's
r = 0.57,
p = 0.006,
n = 21; Kirstein et
al., 2002, GN ID 10350. C) Pearson's
r = 0.67,
p = 0.003, Spearman's
r = 0.73,
p = 0.0005,
n = 17; Roberts et
al., 1995, GN ID 10573.
Figure 4
Genetic correlations between basal plasma DOC levels and phenotypes
for anxiety-like behavior previously characterized in the BXD
strains.
Data for anxiety-like behavior has been collected by two independent labs
and has been obtained from GeneNetwork (www.genenetwork.org). A) Pearson's
r = −0.56,
p = 0.011, Spearman's
r = −0.63,
p = 0.003,
n = 19; Putman & Miles,
manuscript submitted, GN ID 10960. B) Pearson's
r = −0.37,
p = 0.012, Spearman's
r = −0.34,
p = 0.022,
n = 44; Cook et
al., unpublished, GN ID 12467.
Genetic correlations between basal cerebral cortical or plasma DOC
levels and behavioral phenotypes for ethanol sensitivity previously
characterized in the BXD strains.
Behavioral data for ethanol sensitivity has been collected by multiple
independent labs and has been obtained from GeneNetwork (www.genenetwork.org). A) Pearson's
r = 0.63,
p = 0.008, Spearman's
r = 0.64,
p = 0.006,
n = 16; Rodriguez et
al., 1994, GN ID 10586. B) Pearson's
r = 0.49,
p = 0.024, Spearman's
r = 0.57,
p = 0.006,
n = 21; Kirstein et
al., 2002, GN ID 10350. C) Pearson's
r = 0.67,
p = 0.003, Spearman's
r = 0.73,
p = 0.0005,
n = 17; Roberts et
al., 1995, GN ID 10573.
Genetic correlations between basal plasma DOC levels and phenotypes
for anxiety-like behavior previously characterized in the BXD
strains.
Data for anxiety-like behavior has been collected by two independent labs
and has been obtained from GeneNetwork (www.genenetwork.org). A) Pearson's
r = −0.56,
p = 0.011, Spearman's
r = −0.63,
p = 0.003,
n = 19; Putman & Miles,
manuscript submitted, GN ID 10960. B) Pearson's
r = −0.37,
p = 0.012, Spearman's
r = −0.34,
p = 0.022,
n = 44; Cook et
al., unpublished, GN ID 12467.Correlations between basal plasma DOC levels and anxiety-associated phenotypes
are moderately high (Figure
4). Basal DOC levels are associated with anxiety-like behaviors,
measured 15 minutes after restraint stress in the light/dark box test
(Pearson's r = −0.56,
p = 0.011, Spearman's
r = −0.63,
p = 0.003,
n = 19; Putman & Miles, manuscript
submitted, GN ID: 10960), and in the elevated zero maze (Pearson's
r = −0.37,
p = 0.012, Spearman's
r = −0.34,
p = 0.022,
n = 44; Cook et al., unpublished, GN ID:
12467).Other relevant correlations and a cluster map for behavioral traits are reported
in Table
S1 and Figure S1, respectively. Interestingly, both
cerebral cortical and plasma basal DOC levels were correlated with adrenal
weight (GN ID: 11299) [30], which is important because adrenals are the major
source of DOC production. Basal DOC levels are also correlated with behavioral
measures of morphine and cocaine sensitivity, seizures susceptibility, pain
sensitivity, sweet/bitter taste responses, number of tyrosine hydroxylase
neurons, D1 dopamine receptor receptors (DRD1) in several brain regions,
dopamine transporter SLC6A3 density in prefrontal cortex, and the number of
5-bromo-2′-deoxyuridine (BrdU)-labeled cells, a measure of adult
neurogenesis.
Mapping the QTLs for DOC
Variation in basal cerebral cortical DOC levels across the BXD strains was mapped
using genetic and bioinformatics tools in GeneNetwork. A significant
quantitative trait locus (QTL) was detected on chromosome 4 with a peak at 60 Mb
(support interval ∼46–63 Mb), a likelihood ratio statistic (LRS) of 29
and a high B allele (Figure 5a). Suggestive loci mapped on
chromosomes 3 (B allele high), 13 (D allele
high), 15 (B allele high), 17 (D allele high)
and 18 (D allele high). Basal DOC levels in cerebral cortex and
in plasma have substantial shared correlation, but the overlap of QTLs was
modest. Corresponding mapping for basal plasma DOC levels revealed a significant
QTL on chromosome 14 between 93 and 100 Mb, (LRS of 19 and a high
B allele) and three suggestive QTLs on chromosomes 4
(B allele high), 10 (D allele high), and
17 (D allele high) (Figure 5b). One of these suggestive loci,
that on chromosome 4, precisely overlapped the significant locus for basal
cortical DOC levels. The suggestive loci on chromosome 17 for both DOC
phenotypes have the same location near the major histocompatibility complex, the
same effect size (∼1 ng/g per allele), and the same polarity (high
D alleles).
Figure 5
Genome-wide interval mapping plot for basal cerebral cortical and
plasma DOC levels across the BXD strains and their parental
strains.
Mice were injected with saline at 8:00 am and were sacrificed 6 hours
later. A) Likelihood ratio statistic (LRS) scores for basal cerebral
cortical DOC levels across the entire genome show a significant QTL on
chromosome 4 (purple arrow) and suggestive QTLs on chromosomes 3, 13,
15, 17 and 18 (red arrows). B) LRS scores for basal plasma DOC levels
across the entire genome show a significant QTL on chromosome 14 (purple
arrow) and suggestive QTLs on chromosomes 4, 10 and 17 (red arrows). The
y axis and the thick blue lines provide the LRS of the association
between the trait and the genotypes of markers. The two horizontal lines
are the suggestive (gray) and significance (red) thresholds computed
using 1000 permutations. A positive additive coefficient (green line)
indicates that D alleles increase trait values. A
negative additive coefficient (red line) indicates that
B alleles increase trait values.
Genome-wide interval mapping plot for basal cerebral cortical and
plasma DOC levels across the BXD strains and their parental
strains.
Mice were injected with saline at 8:00 am and were sacrificed 6 hours
later. A) Likelihood ratio statistic (LRS) scores for basal cerebral
cortical DOC levels across the entire genome show a significant QTL on
chromosome 4 (purple arrow) and suggestive QTLs on chromosomes 3, 13,
15, 17 and 18 (red arrows). B) LRS scores for basal plasma DOC levels
across the entire genome show a significant QTL on chromosome 14 (purple
arrow) and suggestive QTLs on chromosomes 4, 10 and 17 (red arrows). The
y axis and the thick blue lines provide the LRS of the association
between the trait and the genotypes of markers. The two horizontal lines
are the suggestive (gray) and significance (red) thresholds computed
using 1000 permutations. A positive additive coefficient (green line)
indicates that D alleles increase trait values. A
negative additive coefficient (red line) indicates that
B alleles increase trait values.We used extensive available information regarding sequence variants between the
B6 and D2 progenitor strains and gene expression data across the BXD panel to
identify potential candidate genes for the two significant QTLs on chromosomes 4
and 14. The chromosome 4 interval contained ∼108 genes (GeneNetwork Interval
Analyst, UCSC mm9 database) of which, 16 contained SNPs that distinguish between
B and D haplotypes and that are predicted
to produce non-conservative amino acid changes (http://genenetwork.org/webqtl/main.py?FormID=snpBrowser) (Table S2).
Analysis of these variants using PolyPhen highlighted eight SNPs in six genes
(Nipsnap3b, Zfp462,
D730040F13Rik, Zkscan16,
Susd1 and Slc46a2) that are likely to be
deleterious (Table S2). Additionally, analysis of BXD expression data from whole
brain, prefrontal cortex, and liver identified significant
cis-acting expression QTLs (cis-eQTLs) in 11
genes within the chromosome 4 support interval (Table S3).
The chromosome 14 QTL contained only 26 genes of which 5 had B
vs. D non-conservative SNPs in coding regions (Table S4),
only 1 SNP (on the Tdrd3 gene) predicted to be deleterious by
PolyPhen and 8 genes had strong cis-eQTLs in whole brain,
prefrontal cortex or liver expression datasets (Table S5).
Of these potential gene candidates, tudor domain containing 3
(Tdrd3) at 88.9 Mb on chromosome 14 had a
cis-eQTL across multiple datasets and showed a very strong
correlation (Pearson r = −0.79 in
prefrontal cortex dataset) with plasma DOC levels across BXD strains (Figure
S2).None of the correlated behavioral phenotypes for ethanol or anxiety (Figures 3 and 4) showed a suggestive or
significant QTL within the support intervals of the basal plasma or cerebral
cortical DOC QTLs. However, pain sensitivity (Table S1)
has a significant QTL on chromosome 4, similar to cerebral cortical DOC levels.
Suggestive QTLs on the chromosome 4 support interval for basal cerebral cortical
DOC levels are found for the kidney morphology trait (Wilms tumor 1 homolog
negative cells per glomerular cross section in males, GN ID: 11020, Star et al.,
unpublished; Pearson r = 0.54,
p = 0.007,
n = 23) and for the photoreceptor density
trait (GN ID: 10891, Guo et al., unpublished: Pearson
r = −0.49,
p = 0.003,
n = 33, Table S1).
No other traits were found to map in the support interval of the chromosome 14
QTL, associated with basal plasma DOC levels.
Identification of genetic networks correlated with DOC levels
In light of the fact that DOC is known to regulate genes via nuclear receptors
[31], we
subsequently identified genes showing whole brain expression that correlated
(Pearson's r) with basal cortical DOC levels across BXD
strains, using existing microarray data within GeneNetwork (Table S6).
A total of 458 genes showed significant expression correlations
(p<0.001) with cortical DOC levels. Figure 6 shows the top two scoring gene
networks obtained by Ingenuity Pathway analysis of this DOC-correlated gene set.
Although varying cellular and biological functions were represented by genes in
these genetic networks, the presence of multiple genes functioning in
inflammation (Fig. 6A),
vesicle trafficking (Fig.
6A) and nuclear receptor signaling (Fig. 6A and 6B) was particularly significant.
We further determined if any of the 458 genes correlating with basal cerebral
cortical DOC levels (Figure
6) are contained within the QTL for cerebral cortical DOC or show
trans-linkage to cerebral cortical DOC levels. The only
gene correlated with brain DOC levels and with trans-eQTL to
the support interval of the chromosome 4 QTL is Kiaa0368,
proteasome-associated protein ECM29 homolog (Pearson
r = 0.76,
p<0.001).
Figure 6
Genetic network analysis of brain gene expression correlating with
basal cerebral cortical DOC levels across BXD strains.
Genetic correlations (Pearson's r) between whole
brain gene expression and basal cerebral cortical DOC levels were
generated within GeneNetwork (www.genenetwork.org). A total of 458 genes (496
probesets) had r values of p<0.001
(Table S6). Gene networks were generated from this DOC gene
set by Ingenuity Pathway Analysis. The top two scoring networks are
portrayed. All colored gene symbols were contained within the
DOC-correlated gene set with either positive (red) or negative (green)
expression correlations with DOC across 20 BXD lines. Arrows indicate
representative genes functioning in nuclear receptor action (black),
inflammation (red), or vesicular trafficking and synaptic transmission
(blue).
Genetic network analysis of brain gene expression correlating with
basal cerebral cortical DOC levels across BXD strains.
Genetic correlations (Pearson's r) between whole
brain gene expression and basal cerebral cortical DOC levels were
generated within GeneNetwork (www.genenetwork.org). A total of 458 genes (496
probesets) had r values of p<0.001
(Table S6). Gene networks were generated from this DOC gene
set by Ingenuity Pathway Analysis. The top two scoring networks are
portrayed. All colored gene symbols were contained within the
DOC-correlated gene set with either positive (red) or negative (green)
expression correlations with DOC across 20 BXD lines. Arrows indicate
representative genes functioning in nuclear receptor action (black),
inflammation (red), or vesicular trafficking and synaptic transmission
(blue).
Dexamethasone suppression of DOC in BXD strains
Figure 7a shows the
dexamethasone-induced changes in cerebral cortical DOC levels. Data is expressed
as % change vs. the respective saline-treated strains. We observed a
4.4-fold variation in dexamethasone-induced changes in cerebral cortical DOC
levels (range −22.6% to −99.1%); however, the majority
of the strains showed a very strong suppression in DOC levels (−70 to
−90%). Figure
7b shows the dexamethasone-induced changes in plasma DOC levels
across the BXD strains. The pattern is very similar to cerebral cortex; we
observed a 4.1-fold variation from −21.4% to −88.7%,
with the majority of the strains showing greater than 70% suppression. In
fact, there was a positive correlation between percent dexamethasone-induced
changes in plasma vs. cerebral cortical DOC levels, across the strains so far
examined (Pearson's r = 0.77,
p<0.0001; Spearman's
r = 0.65, p<0.0001,
n = 45, data not shown). The interval
mapping analysis identified a suggestive QTL on chromosome 2 for the
dexamethasone-induced changes in plasma DOC levels (Figure 8b).
Figure 7
Variation in dexamethasone suppression of DOC levels across the BXD
strains.
Mice were injected with dexamethasone (0.075 mg/kg, sc) or saline at 8:00
am and were sacrificed 6 hours later. Data are expressed as %
change of the average for dexamethasone-treated mice vs. the average for
the respective saline-treated mice
(n = 2–9/group/strain). The
x axis reports the BXD strain number; C57BL/6J
(B6), DBA/2J (D2) and B6D2 F1 hybrid are also indicated. Strains are
plotted in order from the lowest to the highest suppression of DOC
levels for cerebral cortex (42 BXD strains) or plasma (47 BXD strains),
respectively.
Figure 8
Genome-wide interval mapping for the dexamethasone-induced changes in
(A) cerebral cortical and (B) plasma DOC levels across the BXD strains
and their parental strains.
Mice were injected with dexamethasone (0.075 mg/kg, sc) or saline at 8:00
am and were sacrificed 6 hours later. The % change of the average
for dexamethasone-treated mice vs. the average for the respective
saline-treated mice has been used for analysis. Panels show likelihood
ratio statistic (LRS) scores across the entire genome. The y axis and
the thick blue lines provide the LRS of the association between the
trait and the genotypes of markers. The two horizontal lines are the
suggestive (gray) and significance (red) thresholds computed using 1000
permutations. A suggestive QTL on chromosome 2 (red arrow) was
identified. A positive additive coefficient (green line) indicates that
D2 alleles increase trait values. A negative additive coefficient (red
line) indicates that B6 alleles increase trait values.
Variation in dexamethasone suppression of DOC levels across the BXD
strains.
Mice were injected with dexamethasone (0.075 mg/kg, sc) or saline at 8:00
am and were sacrificed 6 hours later. Data are expressed as %
change of the average for dexamethasone-treated mice vs. the average for
the respective saline-treated mice
(n = 2–9/group/strain). The
x axis reports the BXD strain number; C57BL/6J
(B6), DBA/2J (D2) and B6D2 F1 hybrid are also indicated. Strains are
plotted in order from the lowest to the highest suppression of DOC
levels for cerebral cortex (42 BXD strains) or plasma (47 BXD strains),
respectively.
Genome-wide interval mapping for the dexamethasone-induced changes in
(A) cerebral cortical and (B) plasma DOC levels across the BXD strains
and their parental strains.
Mice were injected with dexamethasone (0.075 mg/kg, sc) or saline at 8:00
am and were sacrificed 6 hours later. The % change of the average
for dexamethasone-treated mice vs. the average for the respective
saline-treated mice has been used for analysis. Panels show likelihood
ratio statistic (LRS) scores across the entire genome. The y axis and
the thick blue lines provide the LRS of the association between the
trait and the genotypes of markers. The two horizontal lines are the
suggestive (gray) and significance (red) thresholds computed using 1000
permutations. A suggestive QTL on chromosome 2 (red arrow) was
identified. A positive additive coefficient (green line) indicates that
D2 alleles increase trait values. A negative additive coefficient (red
line) indicates that B6 alleles increase trait values.Variations in the dexamethasone-induced changes (%) in cerebral cortical
and plasma DOC levels were also correlated with several phenotypes for ethanol
sensitivity and anxiety, previously characterized in the BXD strains. Table S7
summarizes some of these significant correlations. Dexamethasone suppression of
DOC levels was positively correlated with ethanol-induced ataxia,
ethanol-induced hypothermia, ethanol-induced locomotor activity, and
ethanol-induced anxiolysis. Dexamethasone suppression of DOC was inversely
correlated with anxiety in some tests (light-dark box), but not others (elevated
zero maze, locomotion in the center of open field arena). Furthermore,
dexamethasone suppression of DOC was inversely correlated with volume and weight
of several brain regions, as well as with neurogenesis in the rostral migratory
stream.We specifically searched for correlations between basal DOC levels or
dexamethasone-induced changes in DOC levels and ethanol consumption, preference,
ethanol-induced place preference or ethanol consumption following
schedule-induced polydipsia. None of these correlations were found to be
significant.
Discussion
This study identifies the genetic regulation of basal and dexamethasone-induced
levels of the neurosteroid DOC and links the genetic variation of this steroid with
behavioral phenotypes and gene expression profiles previously determined across the
BXD strains by multiple independent labs. In addition, we present evidence for a
highly significant correlation between brain DOC and regulation of brain gene
networks related to neuronal and nuclear receptor function.To the best of our knowledge this is the first study to examine the genetic basis of
variation in neurosteroid levels. Variation in basal levels of DOC resulted in
heritability values of ∼0.37 and ∼0.32 even though basal levels did not
significantly differ between the parental strains. Although the within-strain sample
size is small for some of the strains (values range between 2 and 9), the total
number of strains examined is greater than 40, thus allowing us enough power for QTL
detection using recombinant inbred strains [32]. QTLs for basal DOC levels
were identified in both cerebral cortex and plasma. The QTL for basal cerebral
cortical DOC levels is located on chromosome 4 within a wide region comprised
between 46 and 63 megabases. In contrast, the QTL for basal plasma DOC levels is
located on chromosome 14 between 93 and 100 megabases; however, a suggestive QTL for
basal plasma DOC levels was also identified on chromosome 4. It is perhaps somewhat
surprising that there are no shared significant QTLs between plasma and cortical
basal DOC levels, given the strong correlation (r = 0.78)
between the two phenotypes. However, it is likely that the non-shared variance
(∼40%) between the two traits is largely genetic and driving the two
different QTLs. On the other hand, the involvement of different chromosomes,
associated with basal DOC levels measured in the brain vs. the periphery, may
reflect differential gene regulation of basal DOC biosynthesis in the cerebral
cortex vs. adrenal. Indeed, adrenal glands are the major source of DOC production in
the circulation. In agreement, a strong linkage between basal DOC levels and adrenal
weight was observed for both cerebral cortex and plasma. Although these QTLs need to
be confirmed and mapped at higher resolution by future studies, some of the
candidate genes described in this analysis may provide novel information regarding
the regulation of circulating DOC levels.Many steroids, including DOC have a primary function as gene regulatory molecules by
actions on nuclear receptors [31], [33]. In light of this we hypothesized that cortical DOC could
be altering brain gene expression. We thus examined the correlation between cerebral
cortical DOC levels and whole brain gene expression profiles across the BXD strains.
Whole brain expression data was used as an exploratory screen since the possible
regions of DOC action on brain gene expression are unclear. The networks portrayed
in Figure 6 are suggestive of
direct DOC effects on gene expression and support previous evidence from the
literature for a role of neurosteroids in inflammation, synaptic transmission and
neurotransmitter release [34], [35], [36], [37], [38]. Future studies will be required to validate the role of
neurosteroids in regulation of these genetic networks.Variation in basal levels of DOC was linked to several behavioral phenotypes
previously determined in the BXD strains by independent labs. Among these
phenotypes, the correlation between basal DOC levels and traits for ethanol
sensitivity is of particular importance. Studies in rodents and humans have
suggested that GABAergic neuroactive steroids may play a role in ethanol
sensitivity. Systemic administration of ethanol increases brain and serum levels of
DOC and the GABAergic neuroactive steroids in rodents [2], [3], . The ethanol-induced
elevations of GABAergic neuroactive steroids contribute to several behavioral
effects of ethanol in rodents, such as anticonvulsant effects [40], sedation [5], impairment of
spatial memory [42], [43], anxiolytic-like [44] and antidepressant-like [45] actions. Each
of these behavioral responses is prevented by pretreatment with the neurosteroid
biosynthesis inhibitor finasteride and/or by prior adrenalectomy. Furthermore,
administration of finasteride attenuates the subjective effects of ethanol in
individuals homozygous for the A allele at the GABAA receptor α2
subunit (GABRA2) gene polymorphism but not in individuals with the G allele
(associated with alcohol dependence), suggesting a role for neuroactive steroids in
mediating ethanol sensitivity in humans [46]. It has been
hypothesized that GABAergic neuroactive steroids may protect against the risk for
ethanol dependence [47], [48]. Diminished elevations of neuroactive steroids following
ethanol exposure would result in reduced sensitivity to the anxiolytic, sedative,
anticonvulsant, cognitive-impairing, and discriminative stimulus properties of
ethanol [47].
Reduced sensitivity to ethanol is associated with greater risk for the development
of alcoholism in individuals with genetic vulnerability to alcoholism [49], [50], [51], [52], [53]. The
finding that those mouse strains with higher basal DOC levels also show greater
ethanol sensitivity is consistent with this hypothesis. Higher basal DOC levels may
reflect greater steroidogenesis in general or may result in higher production of its
neuroactive metabolite THDOC. Studies are under way to examine this hypothesis.Genetic linkage with behavioral phenotypes of ethanol sensitivity suggests overlap in
the genes that control ethanol-induced sedation, ataxia, seizure susceptibility,
locomotion, corticosterone levels and the regulation of basal DOC levels. It is
important to note that variation in basal DOC levels was also linked to some anxiety
phenotypes and seizure susceptibility. This is not surprising, given that systemic
administration of neuroactive steroids induces anxiolytic and anticonvulsant
properties [54],
[55], [56] and neuroactive
steroid levels are altered in several psychiatric disorders involving stress and
anxiety [1], [57], [58].Higher basal DOC levels were also linked to greater anxiety after restraint stress.
Acute stress (like acute ethanol) activates the HPA axis and increases brain and
circulating levels of GABAergic neuroactive steroids [1] as well as corticosterone, the
major corticosteroid synthesized in rodents from DOC. GABAergic neuroactive steroids
have anxiolytic properties when administered systemically [54], [55]. Thus, we might have predicted
that those strains with higher basal DOC levels would have been less susceptible to
anxiety, because of the protective role exerted by its neuroactive metabolite,
THDOC. However, the heightened anxiety after restraint stress suggests that DOC is
primarily metabolized to corticosterone. It should be noted that we found no
correlation between basal DOC levels in our study and basal corticosterone levels
measured 1 or 6 hours following saline injection [29]. This data is limited to the
original panel of the BXD strains; thus, to better understand this relationship,
studies of corticosterone levels in all the strains available, including the
advanced panel, are warranted. Furthermore, the ratio of corticosterone to GABAergic
metabolites after stress may provide more insight into the relationship between DOC
levels and anxiety-like behavior.Previous studies had suggested that dexamethasone suppression of DOC levels might
correlate with ethanol consumption or preference, based on higher voluntary ethanol
consumption in cynomolgus monkeys that exhibited weak suppression of DOC in response
to dexamethasone [9]. In the monkey studies, ethanol consumption was measured
across twelve months of voluntary consumption preceded by three months of scheduled
induction of alcohol drinking, while drinking studies in the mice were measured
across two to fifteen days with no induction procedure [27], [59], [60] (see also Matthews
et al., 2009, GN ID 11297; Lopez et al., 2010,
GN IDs: 12574–12580; Cook et al., 2010, GN IDs 12565 and
12586, all unpublished on GeneNetwork). The fact that dexamethasone suppression of
DOC levels was not predictive of ethanol consumption or preference across BXD
strains is likely related to differences in the drinking paradigms. Alternatively,
species differences may account for this discrepancy. Finally, it is likely that
multiple genes located on different chromosomes may influence ethanol consumption
and this may contribute to differential correlations between this trait and DOC
suppression by dexamethasone.This study focused on male mice only. Neurosteroid basal levels in female mice vary
in relation to the estrus cycle phase [61]. Therefore, sex differences
in basal DOC levels are likely to occur. Furthermore, sex differences and sex by
strain interactions are not uncommon across studies of the BXD strains [62], [63], [64]. Future studies
are needed to examine any potential sex differences in the genetic regulation of
neurosteroid levels.In conclusion, we have identified QTLs for basal levels of the neurosteroid DOC. Both
basal DOC levels and dexamethasone suppression of DOC are positively correlated with
ethanol sensitivity suggesting that the neurosteroid DOC could serve as a useful
biomarker of alcohol phenotypes. Furthermore, DOC levels appear to be responsible
for the regulation of networks of genes involved in the neuronal processes that
underlie many aspects of brain function and likely the correlated ethanol
phenotypes.
Materials and Methods
Animals
Male B6, D2 and B6D2 F1 hybrid mice (8 weeks old) were purchased from The Jackson
Laboratory (Bar Harbor, ME, USA). BXD strains were either purchased from The
Jackson Laboratory, or were acquired from the vivarium at the University of
Tennessee Health Science Center (Memphis, TN, USA). After arrival at the animal
facility, mice were allowed to acclimate for at least one week. They were housed
four to six per cage under 12 h light, 12 h dark cycle (lights on from 0700 to
1900 h) and at a constant temperature of 22±2°C and relative humidity
of 65%. They had free access to water and standard laboratory food at all
times.The BXD recombinant inbred strains have proved to be an extremely valuable
reference population to study networks of phenotypes and their modulation by
gene variants [18], [19], [20], [21]. The parental strains, B6 and D2, have been
sequenced, and approximately two million SNPs between them have been identified.
Most studies of BXD strains since 2001 have exploited ∼3,800 informative
markers (mainly SNPs and microsatellites) selected from a set of ∼15,000
markers (see details in [20] and [65]). The full marker set can be downloaded as a text
file at http://www.genenetwork.org/dbdoc/BXDGeno.html. The mean interval
between informative markers is ∼0.7 Mb.
Dexamethasone Administration
Mice were injected subcutaneously (sc) with dexamethasone (0.075 mg/kg) or saline
at 8:00 am (lights on from 0700 to 1900 h) and were returned to their home-cage
until sacrifice by decapitation 6 hours later. This protocol was adapted from
previous work showing that administration of dexamethasone 0.1 mg/kg, sc,
suppressed plasma corticosterone levels in B6 mice 6 hours after its
administration [66]. The dose of dexamethasone was chosen because it
induced a differential response in the parental strains [67]. To control for circadian
fluctuations in DOC levels, the experiments were all performed at the same time
of the day, as stated above. Furthermore, care was taken to minimize stress
which would affect DOC levels. Following injections, all mice were left
undisturbed in their home cage for 6 hours until sacrifice. Blood was collected
from the trunk immediately after decapitation into lithium-heparin microtainer
tubes (Becton Dickinson, Franklin Lakes, NJ, USA). It was centrifuged (1750 g
for 15 min at 4°C) and serum samples were stored in plastic minivials at
−80°C until use. The brain was rapidly extracted from the skull,
dissected on ice, frozen on dry ice and stored at −80°C until DOC
extraction and analysis. Animal care and handling throughout the experimental
procedures followed National Institutes of Health Guidelines under University of
North Carolina School of Medicine Institutional Animal Care and Use Committee
approved protocols (Protocol 07-131). Adequate measures were taken to minimize
pain or discomfort of the animals.
DOC Radioimmunoassay
DOC was measured in mouse cerebral cortex and plasma by radioimmunoassay (RIA) as
previously described [2], [9], with minor modifications. Individual cerebral
cortexes were weighed, suspended in 3 ml of phosphate buffer and homogenized on
ice with a sonic dismembrator. Homogenates were spiked with 1000 cpm of
[3H]DOC (Specific activity = 50
Ci/mmol; American Radiolabeled Chemicals, Inc. Saint Louis, MO, USA) for
recovery estimation. Samples were extracted three times in 4 ml aliquots of
ethyl acetate. Plasma samples (100 µl) were extracted twice with 2 ml
ethyl acetate/hexane (3∶2); 1000 cpm of [3H]DOC were
added to each sample for recovery estimation. The dried extracts from cerebral
cortex are resuspended in 2 ml RIA buffer, of which 0.5 ml is used for the assay
(run in duplicate) and 0.5 ml is used for recovery determination. The dried
extracts from plasma are resuspended in 1.5 ml RIA buffer, of which 0.5 ml is
used for the assay (run in duplicate) and 0.3 ml is used for recovery
determination. The DOC antiserum (MP Biomedicals, Solon, OH, USA) was diluted
according to manufacturer's instructions. This antiserum is highly specific
for DOC as shown by the following cross-reactivity tests: DOC 100%,
3α,5α-THDOC 4.7%, progesterone 2.5%, corticosterone
1.7%. Less than 1% cross-reactivity was observed for
3α,5α-THP, 3α-hydroxy-pregn-4-en-20-one, pregnenolone,
20-hydroxy-pregnen-4,3-one, testosterone, androstenedione,
17α-hydroxyprogesterone, 11-deoxycortisol, 5α-dihydrotestosterone,
cortisol, cholesterol, 17β-estradiol, estrone, and estriol. Unknown samples
were compared to concurrently run standards using a one-site competition model
and adjusted for extraction efficiency. DOC values are expressed as ng/g of
cerebral cortex or ng/ml of plasma. Intra-assay and inter-assay coefficients of
variation were 5.6% and 13.5%, respectively for plasma and
6.9% and 12.2% for cerebral cortex.
Statistical and bioinformatic analysis
ANOVAs were performed using a commercially available statistical program
(GraphPad Prism 4.0, GraphPad Software, San Diego, CA, USA). Genetic data was
analyzed using the statistical software available in GeneNetwork (www.genenetwork.org) and the R/QTL program within the R
statistical framework. GeneNetwork allows for the analysis of networks of genes,
transcripts and classic phenotype data sets [25]. Datasets for basal and
dexamethasone-induced DOC levels were subjected to simple interval mapping
analysis using Haley–Knott regression equations. Interval mapping was
performed using the Haldane function, a 1 cM window, and marker maps for each
chromosome that are very dense relative to recombination frequency in this
cross. The thresholds for statistically significant (p
value∼0.05) and suggestive (p value∼0.63) [68] genome-wide
linkage were determined based on permutation tests [69]. Support intervals were
calculated using R/QTL with a 97% Bayes credible interval [70].
Correlation analyses were performed using the log-transformed data in order to
correct for non-normal distributions. Pearson's product moment and
Spearman's rank correlations were computed using analytical tools
integrated into GeneNetwork and using data sets of numerous BXD behavioral and
physiological phenotypes, as well as array data of brain gene expression.
Candidate genes for QTL support intervals were identified by mining the SNP
database on GeneNetwork (http://genenetwork.org/webqtl/main.py?FormID=snpBrowser) for
mis/non-sense polymorphisms between B6 and D2 strains within exons of genes
within support intervals and by PolyPhen analysis (http://coot.embl.de/PolyPhen/). Additionally, BXD expression
data from whole brain (UCHSC BXD Whole Brain M430 2.0 Nov06 RMA dataset),
prefrontal cortex (VCU BXD PFC Sal M430 2.0 Dec06 RMA dataset), and liver (UNC
Agilent G4121A Liver Males Only LOWESS Stanford Jan06 Dataset) were used to
identify cis-acting expression QTL (cis-eQTL)
within QTL support intervals using GeneNetwork. These cis-eQTLs
show genetic linkage of their mRNA expression at a chromosomal site overlapping
the gene location itself. In this case, it is genetically driven differences in
expression of the candidate gene, rather than a genetic alteration in gene
function per se, that is predicted to influence the quantitative trait (cerebral
cortical DOC levels). We chose these datasets for mRNA expression correlation
due to known effects of prefrontal cortex on HPA axis activity and drug
addiction [71], [72], [73] and the role of the liver in steroid metabolism [74]. An
adrenal BXD dataset was not currently available.Molecular and genetic networks potentially regulated by cerebral cortex DOC were
identified by correlating DOC levels with BXD expression data in GeneNetwork
from whole brain (UCHSC BXD Whole Brain M430 2.0 Nov06 RMA dataset) using
Pearson's product moment with a somewhat relaxed statistical filter
(p<0.001) to enable network analysis. Pearson
correlations were further analyzed for potential gene-gene network interactions
using the Ingenuity Pathway Analysis bioinformatics platform. This platform
superimposes gene set information on gene networks constructed from prior
information from the biomedical literature, protein-protein interaction
databases, known biochemical pathways and miRNA or transcription factor
regulatory interactions.Cluster maps to detect linkages for basal DOC levels in the cerebral cortex
(A) and plasma (B). The demarcation along the long axis represents
chromosomes 1 to X; red-yellow and blue-green color gradations code for
intensity of linkage with higher trait values for D2 allele and B6 allele,
respectively.(TIFF)Click here for additional data file.The upper panel shows the interval map for Tdrd3 in the
prefrontal cortex (PFC) BXD saline dataset from GeneNetwork. This confirms a
cis-eQTL at the position of the Tdrd3
gene and the chromosome 14 QTL for basal plasma DOC. The lower panel shows
correlation (Pearson's) of Tdrd3 expression in PFC
with plasma DOC levels.(TIFF)Click here for additional data file.Pearson's correlations of the log-transformed basal DOC data are
reported. LORR: loss of righting reflex; HIC: handling-induced convulsions;
VTA: ventral tegmental area; SN: substantia nigra.(DOC)Click here for additional data file.Genes containing nonsynonymous mutations between C57BL/6J (B6) and DBA/2J
(D2) within the QTL support interval on chromosome 4.(DOC)Click here for additional data file.Cis-eQtTLs in the chromosome 4 support interval were
identified using the GeneNetwork resources. The tissue for each database is
indicated in bold. PFC: prefrontal cortex.(DOC)Click here for additional data file.Genes containing nonsynonymous mutations between C57BL/6J (B6) and DBA/2J
(D2) within the QTL support interval on chromosome 14.(DOC)Click here for additional data file.Cis-eQtTLs in the chromosome 14 support interval were
identified using the GeneNetwork resources. The tissue for each database is
indicated in bold. PFC: prefrontal cortex.(DOC)Click here for additional data file.Gene expression correlations between basal cortical DOC and whole brain mRNA
expression were done in GeneNetwork using the following parameters: Trait :
BXDPublish : 12568, Database : UCHSC BXD Whole Brain M430 2.0 (Nov06) RMA,
Citations: Please see http://132.192.47.32/reference.html.(DOC)Click here for additional data file.Pearson's correlations of the log-transformed DOC data are reported.
HIC: handling-induced convulsions.(DOC)Click here for additional data file.
Authors: Patrizia Porcu; Todd K O'Buckley; Sarah E Alward; Soomin C Song; Kathleen A Grant; Harriet de Wit; A Leslie Morrow Journal: Alcohol Clin Exp Res Date: 2009-12-17 Impact factor: 3.455
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