Recent studies suggest that exposure to endocrine-disrupting compounds (EDCs) may play a role in the development of obesity. EDCs such as the flame retardant 2,2',4,4'-tetrabrominated diphenyl ether (BDE-47) have been shown to enhance adipocyte differentiation in the murine 3T3-L1 model. The mechanisms by which EDCs direct preadipocytes to form adipocytes are poorly understood. Here, we examined transcriptional and epigenetic mechanisms underlying the induction of in vitro adipocyte differentiation by BDE-47. Quantitative high content microscopy revealed concentration-dependent enhanced adipocyte differentiation following exposure to BDE-47 or the antidiabetic drug troglitazone (TROG). BDE-47 modestly activated the key adipogenic transcription factor peroxisome proliferator-activated receptor gamma (PPARγ) in COS7 cells, transiently transfected with a GAL4 reporter construct. Increased gene expression was observed for Pparγ2, leptin (Lep), and glucose-6-phophatase catalytic subunit (G6pc) in differentiated 3T3-L1 cells after BDE-47 exposure compared to TROG. Methylation-sensitive high resolution melting (MS-HRM) revealed significant demethylation of three CpG sites in the Pparγ2 promoter after exposure to both BDE-47 and TROG in differentiated 3T3-L1 cells. This study shows the potential of BDE-47 to induce adipocyte differentiation through various mechanisms that include Pparγ2 gene induction and promoter demethylation accompanied by activation of PPARγ, and possible disruption of glucose homeostasis and IGF1 signaling.
Recent studies suggest that exposure to endocrine-disrupting compounds (EDCs) may play a role in the development of obesity. EDCs such as the flame retardant2,2',4,4'-tetrabrominated diphenyl ether (BDE-47) have been shown to enhance adipocyte differentiation in the murine 3T3-L1 model. The mechanisms by which EDCs direct preadipocytes to form adipocytes are poorly understood. Here, we examined transcriptional and epigenetic mechanisms underlying the induction of in vitro adipocyte differentiation by BDE-47. Quantitative high content microscopy revealed concentration-dependent enhanced adipocyte differentiation following exposure to BDE-47 or the antidiabetic drug troglitazone (TROG). BDE-47 modestly activated the key adipogenic transcription factor peroxisome proliferator-activated receptor gamma (PPARγ) in COS7 cells, transiently transfected with a GAL4 reporter construct. Increased gene expression was observed for Pparγ2, leptin (Lep), and glucose-6-phophatase catalytic subunit (G6pc) in differentiated 3T3-L1 cells after BDE-47 exposure compared to TROG. Methylation-sensitive high resolution melting (MS-HRM) revealed significant demethylation of three CpG sites in the Pparγ2 promoter after exposure to both BDE-47 and TROG in differentiated 3T3-L1 cells. This study shows the potential of BDE-47 to induce adipocyte differentiation through various mechanisms that include Pparγ2 gene induction and promoter demethylation accompanied by activation of PPARγ, and possible disruption of glucose homeostasis and IGF1 signaling.
The generally accepted
cause of obesity is an imbalance between
energy intake and expenditure, but this cannot account for the total
increase of this disease worldwide.[1] Among
other risk factors, evidence is increasing that exposure to endocrine-disrupting
chemicals (EDCs), also known as obesogens, can have adverse effects
on adipogenesis, lipid metabolism, and body weight as found in epidemiological,
in vivo, and in vitro studies.[2] In animal
studies, (perinatal) exposure to several EDCs has been related to
an increase in adipose tissue and body weight, for example diethylstilbestrol
(DES)[3] and tributyltin (TBT).[4] Bisphenol A (BPA) exposure has also been shown
to increase body weight in rodents,[5] as
well as to induce adipocyte differentiation in vitro in the 3T3-L1
murine preadipocyte differentiation model, at concentrations as low
as 10 nM.[6]We recently demonstrated
a novel stimulatory adipogenic effect
of BDE-47 in 3T3-L1 cells.[7] BDE-47 is a
flame retardant found throughout the world in different matrixes,
e.g., human blood, milk, dust, and various types of food.[8] BDE-47 has been shown to have endocrine-disrupting
properties in vitro and in vivo.[9,10] Recent studies indicate
that BDE-47 exposure also affects metabolic pathways in vivo, as an
increase in body weight has been observed in male mice postnatally
exposed to BDE-47, although no specific adipogenic end points were
measured.[11] Additionally, prenatal exposure
to BDE-47 in rats affected body weight in both male and female offspring
which was accompanied by changes in several key processes in glucose
homeostasis and fat metabolism exclusively for males.[5,6] Despite the recent data on increased body weight and enhanced 3T3-L1
adipogenesis by BDE-47, the molecular mechanisms behind these changes
remain unknown.Recent insights into the differentiation of
3T3-L1 cells provide
a basis for understanding possible transcriptional mechanisms by which
EDCs such as BDE-47 direct preadipocytes to form adipocytes. Adipocyte
differentiation involves major transcriptional regulatory steps in
which peroxisome proliferator-activated receptor gamma 2 (PPARγ2),
an isoform of PPARγ predominantly expressed in adipose tissue,
is known to be the master regulator.[14,15] Differentiation
of 3T3-L1 cells is driven by two waves of transcription factors.[16] The first wave is directly activated by an adipogenic
cocktail consisting of 3-isobutyl-1-methylxanthine (IBMX), dexamethasone,
and insulin (MDI cocktail) and includes induction of CAAT/enhancer-binding
proteins β (C/EBPβ) and C/EBPδ. Subsequently, a
second wave of late-acting adipogenic transcription factors is induced,
including C/EBPα and PPARγ, which in turn activate the
adipogenic gene program. PPARγ binds as an obligate heterodimer
with retinoid X receptor (RXR) to thousands of sites in the genome[15] and appears to be directly involved in the activation
of most adipocyte specific genes, such as lipoprotein lipase (LPL),
fatty acid binding protein 4 (FABP4), glucose transporter type 4 (SLC2A4),
and adiponectin (ADIPOQ) as well as the PPARγ-independent adipokine
leptin (LEP) (Figure 1).[14] Several studies have shown that some compounds that stimulate
adipogenesis, such as tributyltin (TBT)[4] and butylparaben,[17] act via the known
adipogenic pathway of PPARγ and/or RXRα activation while
others, such as 2,2′4,4′,5,5′-hexachlorinated
biphenyl (CB-153)[17] and bisphenol A diglycidyl
ether (BADGE),[6] increase differentiation
of 3T3-L1 cells through mechanisms independent of PPARγ activation.
Figure 1
Genes
involved in adipogenesis and analyzed in this study. During
the course of differentiation, two waves of transcription factors
direct preadipocytes to change into adipocytes. In 3T3-L1 cells, the
first wave is induced by a cocktail of IBMX, dexamethasone, and insulin
(MDI), causing enhanced transient transcription of CAAT/enhancer binding
proteins, Cebpβ and Cebpδ, followed by expression of sterol-responsive element binding protein
1a (Srebf1a). These transcription factors induce
a second wave of transcription factors (Pparγ2 and Cebpα). PPARγ2 will form a heterodimer
with retinoic x receptor (RXR), causing expression of PPARγ2
targets such as fatty acid binding protein 4 (Fabp4), lipoprotein lipase (Lpl), glucose transporter
type 4 (Slc2a4), and adiponectin (Adipoq). Mature adipocytes will differentially express genes involved in
glucose homeostasis compared to preadipocytes (e.g., increases in
glucose 6 phosphatase catalytic subunit (G6pc), insulin
growth factor 1 (Igf1), leptin (Lep), and insulin receptor (Insr), and a decrease in
insulin growth factor receptor (Igfr)).[14,40−42]
Genes
involved in adipogenesis and analyzed in this study. During
the course of differentiation, two waves of transcription factors
direct preadipocytes to change into adipocytes. In 3T3-L1 cells, the
first wave is induced by a cocktail of IBMX, dexamethasone, and insulin
(MDI), causing enhanced transient transcription of CAAT/enhancer binding
proteins, Cebpβ and Cebpδ, followed by expression of sterol-responsive element binding protein
1a (Srebf1a). These transcription factors induce
a second wave of transcription factors (Pparγ2 and Cebpα). PPARγ2 will form a heterodimer
with retinoic x receptor (RXR), causing expression of PPARγ2
targets such as fatty acid binding protein 4 (Fabp4), lipoprotein lipase (Lpl), glucose transporter
type 4 (Slc2a4), and adiponectin (Adipoq). Mature adipocytes will differentially express genes involved in
glucose homeostasis compared to preadipocytes (e.g., increases in
glucose 6 phosphatase catalytic subunit (G6pc), insulin
growth factor 1 (Igf1), leptin (Lep), and insulin receptor (Insr), and a decrease in
insulin growth factor receptor (Igfr)).[14,40−42]Furthermore, EDCs may
influence epigenetic processes during adipogenesis.
The epigenome of the adipocyte is extensively modified as part of
the transcriptional reprogramming during adipogenesis, which involves
histone-modifying complexes as well as the more stable DNA methylation
mark.[18−21] For instance, compared to undifferentiated 3T3-L1 cells, demethylation
was observed in differentiated 3T3-L1 cells within a CpG island (CGI)
at the leptin (Lep) promoter.[22] Hypomethylation has also been found in a regulatory region
of the promoter of Pparγ2 after differentiation
of 3T3-L1 cells, which was linked to increased gene expression.[23] Increasing evidence suggests involvement of
EDCs in DNA methylation mechanisms,[24] and
therefore EDCs could possibly affect DNA methylation in promoter regions
of genes of key adipogenic transcription factors. A direct link between
exposure to adipogenic compounds and DNA methylation at promoters
of specific adipogenic loci has not been reported to our knowledge,
but animal studies have shown that exposure to EDCs such as DES and
BPA can affect both body weight and CpG methylation at several loci.[25,26] Furthermore, we have found that differentiation of 3T3-L1 cells
by EDCs such as TBT is accompanied by global demethylation.[7] In the same study, a modest decrease in global
methylation was also found after exposure of 3T3-L1 cells to BDE-47,
though the specific loci affected were not identified.Here,
we examine the transcriptional and epigenetic mechanisms
underlying the stimulation of 3T3-L1 adipocyte differentiation by
BDE-47. Insulin-sensitizing drugs, thiazolidinediones (TZDs), were
used as reference compounds in this study, as they are known to be
potent ligands for PPARγ.[27] Our results
indicate that the effects of BDE-47 on 3T3-L1 adipogenesis are partly
mediated through activation, gene induction, and promoter demethylation
of PPARγ2.
Materials and Methods
Chemicals
The
thiazolidinedionetroglitazone (TROG;
>98%) was obtained from Sigma Aldrich (Germany). LG268 was a gift
of Dr. R. Heyman (Ligand Pharmaceuticals), and rosiglitazone (ROSI)
was obtained from BioMol (Farmingdale, NY). BDE-47 was synthesized
at Stockholm University and charcoal purified to remove impurities
such as brominated dibenzofurans and dioxins and was kindly provided
by Professor Åke Bergman (Stockholm University, Sweden). Compounds
were dissolved in DMSO (99.9%) obtained from Acros Organics (Belgium).
3T3-L1 Cell Culture
3T3-L1 cells (ATCC, Manassas, VA)
were maintained in DMEM (high glucose, 15 mM HEPES, and glutamax)
(Gibco, The Netherlands), supplemented with 1× nonessential amino
acids (Gibco, The Netherlands), 10% FCS (Sigma Aldrich, Germany),
and penicillin/streptomycin (Gibco, The Netherlands). Cells were subcultured
twice a week at 70–80% confluence. All experiments were performed
at passage 6.
Differentiation Experiments
Differentiation
experiments
were performed as described previously.[7] Cells were seeded in culture medium at a density of 15 000
cells/cm2 in 6 (RNA/DNA analysis) or 48 (Cellomics analysis)
well plates in a volume of 2 or 0.2 mL, respectively. For RNA/DNA
analysis, 2 wells per treatment were included. For Cellomics analysis,
3 wells per treatment were used. Two days after reaching confluency
(t = 0), cells were exposed to different concentrations
of BDE-47, TROG, or vehicle (DMSO, 0.1%) in 2 mL (6 well) or 0.25
mL (48 well) in differentiation medium (MDI medium), consisting of
1.67 μM insulin (Roche, The Netherlands), 1 μM dexamethasone
(Sigma Aldrich, Germany), and 5 mM 3-isobutyl-1-methylxanthine (IBMX)
(Sigma Aldrich, Germany) in culture medium. Using the same conditions,
the exposures were refreshed after 24 h. Two days after starting induction
of differentiation, MDI medium was replaced with culture medium containing
only the test compounds or vehicle. This step was repeated at day
4 and 6. Experiments were finalized at day 8. During the experiments,
undifferentiated cells were used as an untreated control (undifferentiated
control) and MDI-induced cells (differentiated control, 0.1% DMSO)
were used as a vehicle control of basal differentiation. Two independent
experiments were performed for both RNA/DNA and Cellomics analysis.
Analysis of Adipocyte Differentiation
3T3-L1 cells
were analyzed after 8 days using high-content microscopy by Cellomics
Arrayscan technology (Thermo Scientific, The Netherlands). Cells were
fixed in 4% paraformaldehyde (Sigma, Germany) and stained with 1 μg/mL
Hoechst 33258 (Invitrogen, Grand Island, NY) and 10 μg/mL Nile
Red (Sigma Aldrich, Germany) in 0.25 mL milli-Q water. Stained cells
were analyzed by Cellomics Arrayscan high-content microscopy (Thermo
Scientific, The Netherlands) at 10× magnification. From each
well, 80 image fields were scanned and analyzed using the compartmental
analysis bio application (v3.0), designed to quantify compartmentalized
changes in fluorescence.[28] End points measured
were total number of cells and adipocytes, adipocyte cell size, and
the number of fat droplets per cell.
Gene Expression Analysis
Total RNA was isolated and
purified from 3T3-L1 cells with the Nucleospin RNAII extraction kit
(Macherey-Nagel, Germany). Equal amounts of RNA were converted into
cDNA with the high capacity cDNA RT kit (Applied Biosystems, Grand
Island, NY), according to manufacturer’s recommendations. Subsequently,
cDNA was diluted 20× in Milli-Q water prior to QPCR. QPCR experiments
were performed in duplicate per sample on the ECO QPCR system (Illumina
Inc., San Diego, CA) in 5 μL reactions, containing ABsolute
QPCR SYBR Green Mix (Thermo Scientific, The Netherlands), 250 nM primer
mix, and 2 μL of 20× diluted template using the following
program: 95 °C for 15 min; 40 cycles of 95 °C for 15 s;
60 °C for 45 s. Primers were tested for efficiency, dimers, and
nonspecific products (Supporting Information Table
1). After assessment of candidate reference genes (Hprt, Nono, and Bactin), Bactin showed the most stable Cq values relative
to the amount of input RNA for cDNA synthesis and was therefore regarded
as unaffected during differentiation and between the different exposures
(data not shown). Expression was calculated relative to the differentiated
control of day 1, as described earlier.[29]
PPARγ and RXRα Reporter Gene Assays
GAL4-hPPARγ
and GAL4-hRXRα transfection assays in COS7 cells were performed
as previously described.[6] ROSI and LG268
were used as a positive control for PPARγ and RXRα, respectively.
BDE-47 was tested up to 33 μM in 0.1% DMSO. Each experiment
contained triplicate replicates, and at least two independent experiments
were performed.
Methylation-Sensitive High Resolution Melting
(MS-HRM) Analysis
MS-HRM analysis was performed based on
net temperature shift (NTS)
calculations as described by Newman and colleagues.[30] Extended experimental procedures are found in Supporting Information. In short, DNA was bisulfite
converted using the Epitect Bisulfite Kit (Qiagen, Germany) as described
by the manufacturer. Different ratios of unmethylated toward fully
methylated control DNA of a specific promoter region were produced
to generate a calibration curve. After bisulfite conversion and PCR
of control DNA and unknown samples, HRM analysis was performed on
the ECO QPCR system (Illumina Inc.). Percentage methylation was calculated
by interpolating unknowns in the calibration curve. Analyses were
performed in duplicate on each of two independent experiments.
Direct
Sequencing
To confirm HRM results, bisulfite
sequencing reactions were performed with the Big Dye Terminator Kit
1.1 (Applied Biosciences), using the forward primer of leptin CGI1
(Supporting Information Table 2b) in samples
from one experiment. Reaction conditions were 1 μL of 10 μM
primer, 4 μL of 2.5× reaction buffer, 1 μL of premix,
and 20× diluted PCR sample (from HRM reactions) up to a volume
of 10 μL. Cycling conditions were 96 °C for 10 s, 59 °C
for 10 s, and 60 °C for 75 s for 25 cycles. Products were purified
by adding 40 μL of water and 5 μL of 3 M sodium acetate
(Sigma-Aldrich, Germany) to the samples to precipitate DNA. After
centrifugation (13 000 rpm, 25 min), samples were rinsed twice
with ethanol (P.A., Sigma-Aldrich, Germany) and centrifuged again
(13 000 rpm, 1 min). Finally, samples were dissolved in 30
μL of water and analyzed on the 3730 DNA analyzer (Applied Biosystems).
Sequence Analysis software (v5.1.1, Applied Biosystems) was used to
measure the peak intensity of thymidine (T) and cytosine (C) at CpG
sites. The C/T ratio was calculated as a measure for methylation status
of CpG sites.
Statistical Analysis
Statistical
calculations were
performed with GraphPad Prism software (v5.04, Graphpad Software Inc.,
La Jolla, CA). Data were analyzed by two-way ANOVA with treatment
and experiment number as independent variables. In case no main effect
or interaction effect were found for replicate experiments, congregated
data of two experiments were analyzed by one-way ANOVA. Differences
between treatments were analyzed by Bonferroni’s multiple comparison
posthoc tests (P < 0.05).
Results
Adipocyte Differentiation
We developed a high throughput
analysis system for measuring adipocyte differentiation in 48-well
plates, using a double Nile Red/Hoechst stain to quantify the increase
in adipocyte cell number by TROG and BDE-47 exposure compared to the
undifferentiated and differentiated controls (Figure 2, parts c,d vs a,b). In two independent experiments, a reproducible
concentration–response-related increase was found by BDE-47
and TROG both in cell proliferation which occurs during the first
wave of transcription factor induction (data not shown) and differentiation
to adipocytes after 8 days (Figure 2e). We
optimized the 3T3-L1 differentiation conditions to obtain a relatively
low level of differentiation in the differentiated controls (17%),
which allowed for enhanced discrimination of the effects of the test
chemicals on adipocyte differentiation (up to 38% and 76% for BDE-47
and TROG, respectively) (Figure 2e). Based
on congregated data of two experiments, a significant increase in
adipocytes was found compared to the differentiated control at the
lowest level tested, namely 3 nM (17.2% for differentiated control
vs 22.4% and 22.1% for BDE-47 and TROG, respectively) (Figure 2e). No significant effect was found on adipocyte
cell size by either TROG or BDE-47 (data not shown).
Figure 2
Quantification of 3T3-L1
differentiation with Cellomics Arrayscan
technology. Nile red (green) and Hoechst (blue) staining of (a) undifferentiated
cells, and differentiated cells exposed to (b) differentiated control
(DMSO), (c) BDE-47 (25 μM), and (d) TROG (1 μM). (e) Concentration-dependent
effect of BDE-47 and TROG on adipocyte differentiation, with a cutout
at 3 nM showing significant enhancement of differentiation. (Graph
is presented as mean ± SD from one out of two reproducible experiments;
cutout is presented as mean ± SD of congregate data of two experiments).
Quantification of 3T3-L1
differentiation with Cellomics Arrayscan
technology. Nile red (green) and Hoechst (blue) staining of (a) undifferentiated
cells, and differentiated cells exposed to (b) differentiated control
(DMSO), (c) BDE-47 (25 μM), and (d) TROG (1 μM). (e) Concentration-dependent
effect of BDE-47 and TROG on adipocyte differentiation, with a cutout
at 3 nM showing significant enhancement of differentiation. (Graph
is presented as mean ± SD from one out of two reproducible experiments;
cutout is presented as mean ± SD of congregate data of two experiments).
Transactivation of PPARγ
and RXRα
The observed
increase in adipocyte differentiation by BDE-47 in 3T3-L1 cells led
us to examine the possibility that BDE-47 may be a ligand for PPARγ
and/or RXRα. In transient transfection assays in COS7 cells
with GAL4-hPPARγ, concentration-dependent PPARγ activation
was observed for BDE-47 up to 33 μM, though the maximum induction
(up to 3×) was much lower compared to the 150× induction
by the TZD reference compound rosiglitazone (ROSI) (Figure 3a). Exposure to higher concentrations up to 100
μM BDE-47 confirmed these results by showing a stronger activation
of PPARγ (7×, data not shown). In GAL4-RXRα-transfected
COS7 cells no activation of RXRα was observed after BDE-47 exposures,
though the reference RXRα ligand LG268 showed distinct concentration-related
effects (Figure 3b).
Figure 3
Transactivation of PPARγ
and RXRα. (a) Rosiglitazone
(ROSI) shows over 150× higher induction in luciferase expression
relative to the vehicle control (DMSO). BDE-47 shows weak but significant
activation of GAL4-PPARγ up to 2.5×. (b) Although the known
RXRα activator LG268 induces luciferase expression over 200
times, no activation is observed with BDE-47. Data are reported as
relative luciferase expression over vehicle (0.1% DMSO) controls (mean
± SD) for triplicate samples (three biological replicates), and
similar results were obtained in additional experiments.
Transactivation of PPARγ
and RXRα. (a) Rosiglitazone
(ROSI) shows over 150× higher induction in luciferase expression
relative to the vehicle control (DMSO). BDE-47 shows weak but significant
activation of GAL4-PPARγ up to 2.5×. (b) Although the known
RXRα activator LG268 induces luciferase expression over 200
times, no activation is observed with BDE-47. Data are reported as
relative luciferase expression over vehicle (0.1% DMSO) controls (mean
± SD) for triplicate samples (three biological replicates), and
similar results were obtained in additional experiments.
Expression of Adipogenic Genes during Differentiation
Because we observed only weak activation of PPARγ by BDE-47,
the transcriptional mechanism of action underlying BDE-47-enhanced
adipocyte differentiation was further studied. Expression of several
key genes involved in 3T3-L1 adipogenesis was measured at various
time points during induced differentiation by BDE-47 or TROG exposures
(Figure 4). Expression was calculated relative
to the differentiated control of day 1. To obtain maximum differences
in gene expression, BDE-47 and TROG were tested at concentrations
exhibiting the highest compound specific adipocyte differentiation
with no visual cytotoxic effects, i.e., 25 μM and 1 μM,
respectively. Furthermore, these concentrations showed no cytotoxic
effects in lactate dehydrogenase leakage (LDH) and 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium
bromide (MTT) assays following exposure to BDE-47 for 72 h in undifferentiated
3T3-L1 cells.[7] When first considering the
differentiated control (Figure 4), mRNA levels
of Cebpβ and Cebpδ both
increased after day 1, followed by an increased expression of Srebf1a. mRNA levels of Pparγ2 and Cebpα were elevated after the initiation phase and
were highly expressed during the whole process of differentiation.
The expression of PPARγ targets Lpl, Slc2a4, Fabp4, and Adipoq was enhanced
at day 3 and 8. During the course of differentiation, increases in
mRNA were observed for G6pc, Lep, Igf1, and Insr, whereas a decrease was observed in Igf1r.
Figure 4
Gene expression analysis of selected targets involved in 3T3-L1
adipocyte differentiation in undifferentiated (Undiff control) or
differentiated cells following exposure to vehicle (0.1% DMSO, Diff
control), BDE-47 (25 μM), and TROG (1 μM). Initiation
of differentiation begins with a transient increase in expression
of Srebf1a, Cebpβ, Cebpδ, and Rxrα, followed by
an increase of Pparγ2 and Cebpα. Consequently, adipocyte specific markers Lpl, Slc2a4, Fabp4, and Adipoq are increased. Genes involved in glucose homeostasis are altered
in mature adipocytes, with increases observed for G6pc, Lep, Igf1, and Insr, and a decrease in expression of Igf1r. (Figures
represent one out of two reproducible experiments, calculated relative
to the differentiated control of day 1 (mean ± SD *BDE-47 significantly
different compared to differentiated control, #TROG significantly
different compared to differentiated control. Significance was calculated
averaging two experiments (P < 0.05)).
Gene expression analysis of selected targets involved in 3T3-L1
adipocyte differentiation in undifferentiated (Undiff control) or
differentiated cells following exposure to vehicle (0.1% DMSO, Diff
control), BDE-47 (25 μM), and TROG (1 μM). Initiation
of differentiation begins with a transient increase in expression
of Srebf1a, Cebpβ, Cebpδ, and Rxrα, followed by
an increase of Pparγ2 and Cebpα. Consequently, adipocyte specific markers Lpl, Slc2a4, Fabp4, and Adipoq are increased. Genes involved in glucose homeostasis are altered
in mature adipocytes, with increases observed for G6pc, Lep, Igf1, and Insr, and a decrease in expression of Igf1r. (Figures
represent one out of two reproducible experiments, calculated relative
to the differentiated control of day 1 (mean ± SD *BDE-47 significantly
different compared to differentiated control, #TROG significantly
different compared to differentiated control. Significance was calculated
averaging two experiments (P < 0.05)).Exposure of 3T3-L1 cells to BDE-47 or TROG during
differentiation
only modestly affected mRNA expression of the transcription factors
during the first 2 days of differentiation (Figure 4). A slight increase was observed for both Cebpβ and Rxrα expression in response to both BDE-47
and TROG compared to differentiated control at day 2. Expression of Cebpβ was significantly higher for BDE-47 than the
differentiated control at this time point, while the expression of Rxrα was significantly higher for TROG. More pronounced
differences in gene expression between the two chemicals were found
at later stages in differentiation. Although TROG is a more potent
inducer of adipocyte differentiation than BDE-47, only BDE-47 induced
an increase in Pparγ2 mRNA expression after
8 days. However, this difference in Pparγ2 expression
was not reflected in the PPARγ targets (Cebpα, Lpl, Slc2a4, and Fabp4). Of those targets, TROG exhibited significant increases in expression
at an earlier stage (at 2 and 3 days) and at a level higher than that
of BDE-47. Adipoq mRNA levels did not differ between
exposures. Expression analysis of both G6pc and Lep showed significant enhancement exclusively by BDE-47
compared to the differentiated control (Figure 4).
DNA Methylation Analysis of the Pparγ2 and Lep Promoter
To determine if the increased Pparγ2 expression at 8 days by BDE-47 exposure was
linked to the methylation status of the Pparγ2 promoter region, we employed methylation-sensitive high resolution
melting (MS-HRM).[30] A region in the Pparγ2 promoter with three CpGs sites between −337
and −192 base pairs from the transcription start site (TSS)
was selected based on a previous study (Figure 5a).[23] This region, located within a DNase
I hypersensitive site,[18] represents an
open chromatin structure, where proteins such as transcription factors
are able to bind and potentially regulate Pparγ2 expression. A calibration curve consisting of control DNA mixtures
with different ratios of unmethylated vs fully methylated CpGs was
used to quantify the methylation status of the region, based on net
temperature shift (NTS) calculations (Figure 5b). MS-HRM analysis revealed significant demethylation of the three
CpGs present in this region after differentiation with BDE-47 and
TROG compared to undifferentiated cells (Figure 5c).
Figure 5
Methylation analysis of the Pparγ2 promoter.
(a) A schematic overview of the analyzed region showing three CpG
sites at positions −240, −269, and −298 from
the transcription start site (TSS). (b) A typical calibration curve
of percentage methylation (%CpG) plotted against the mean net temperature
shift (NTS) was used to interpolate samples (c) Methylation of the Pparγ2 promoter in DNA samples from undifferentiated
3T3-L1 and differentiated cells exposed to vehicle control (0.1% DMSO),
BDE-47 (25 μM), and TROG (1 μM). (Data for c are shown
as the mean of two independent experiments ± SD *significantly
different from undifferentiated cells, P < 0.05).
Methylation analysis of the Pparγ2 promoter.
(a) A schematic overview of the analyzed region showing three CpG
sites at positions −240, −269, and −298 from
the transcription start site (TSS). (b) A typical calibration curve
of percentage methylation (%CpG) plotted against the mean net temperature
shift (NTS) was used to interpolate samples (c) Methylation of the Pparγ2 promoter in DNA samples from undifferentiated
3T3-L1 and differentiated cells exposed to vehicle control (0.1% DMSO),
BDE-47 (25 μM), and TROG (1 μM). (Data for c are shown
as the mean of two independent experiments ± SD *significantly
different from undifferentiated cells, P < 0.05).Because Lep mRNA
expression was elevated by BDE-47
exposures compared to TROG and differentiated control, MS-HRM analysis
was also performed on the Lep promoter. The promoter
region of Lep contains three CpG islands (CGIs),
as defined by the NCBI genome viewer (http://www.ncbi.nlm.nih.gov/). Two of them (CGI1 and 2) were analyzed by MS-HRM (Figure 6a). A high methylated state (approximately 70%)
and no significant differences between the exposures were observed
in the analyzed region of CGI1 (Figure 6c).
These results were validated by direct sequencing of the PCR products
obtained from the MS-HRM analysis, yielding a similar trend for the
methylated controls (0%, 50%, and 100% methylated) at the eight analyzed
CpG sites and confirming that no differences in methylation were observed
between the different exposures (Figure 6d).
The second CGI, located at a more distal region upstream from the Lep promoter, also showed no differences between the exposures
(Figure 6f).
Figure 6
MS-HRM analysis of two CpG islands (CGIs)
of the Lep promoter after exposure to BDE-47 (25
μm) and TROG (1 μM).
(a) A region between −104 and −290 base pairs from the
TSS was analyzed in CGI1, which included 13 CpG sites. Another, more
distal, CGI (CGI2) was analyzed in a region ranging from −2612
to −2757 base pairs (6 CpG sites) from the TSS. (b,c) Calibration
curve and the methylation status of CGI1. (d) Direct sequencing results
of 8 CpG sites in the first CGI of the Lep promoter.
(e, f) Calibration curve and methylation status of CGI2. Data for
c and e are shown as the mean of two independent experiments ±
SD. Part d was performed on duplicate samples of one experiment.
MS-HRM analysis of two CpG islands (CGIs)
of the Lep promoter after exposure to BDE-47 (25
μm) and TROG (1 μM).
(a) A region between −104 and −290 base pairs from the
TSS was analyzed in CGI1, which included 13 CpG sites. Another, more
distal, CGI (CGI2) was analyzed in a region ranging from −2612
to −2757 base pairs (6 CpG sites) from the TSS. (b,c) Calibration
curve and the methylation status of CGI1. (d) Direct sequencing results
of 8 CpG sites in the first CGI of the Lep promoter.
(e, f) Calibration curve and methylation status of CGI2. Data for
c and e are shown as the mean of two independent experiments ±
SD. Part d was performed on duplicate samples of one experiment.
Discussion
Enhanced Adipocyte
Differentiation
Increasing evidence
suggests that exposure to EDCs may play a role in the worldwide epidemic
of obesity through various mechanisms including effects on adipocyte
differentiation.[2] This study reveals that
BDE-47, an endocrine-disrupting brominated flame retardant found ubiquitously
in the environment, induces adipocyte differentiation in 3T3-L1 cells
at concentrations as low as 3 nM. We developed a novel quantification
technique using Cellomics Arrayscan technology, which represents a
significant step forward from widely used techniques such as Oil Red
O, or Nile Red lipid staining combined with spectrophotometric analysis
or fluorescence-activated cell sorting (FACS). The Cellomics Arrayscan
allowed fast and accurate measurements of cell numbers, cell size,
and cell type (adipocytes) that parallels the accuracy of FACS and
the high throughput capacity of staining techniques, which allows
us to screen many compounds and environmental extracts for adipogenic
properties.BDE-47 levels in North America are among the highest
reported throughout the world, generally 1 magnitude higher than elsewhere
and with no indication of decline.[31] Levels
reported in blood from US citizens range from 0.63 to 46 ng/g (1.1
to 81.5 pmol/g or 0.008 to 0.6 nM) lipid weight, and these levels
indicate a minimal margin of exposure of only 5 when compared to the
3 nM concentration used in the 3T3-L1 medium, based on an average
lipid content in blood of 0.7%.[8] Furthermore,
the highest reported level of BDE-47 found in serum from children
working at waste disposal sites in Managua (Nicaragua) was 384 ng/g
(680 pmol/g) lipid weight (0.4% lipid), corresponding to 2.8 nM in
serum.[32] Because these levels are close
to the concentrations used in this study, the results cannot be neglected.
PPARγ Activation
Although many EDCs are able
to induce adipocyte differentiation in 3T3-L1 cells, the underlying
mechanisms have been elucidated for only a few. Here, we show that
BDE-47 weakly activates PPARγ, but not RXRα, in transient
transfection assays. The activation of PPARγ is likely to be
causally related to the significantly increased expression of many
PPARγ target genes after exposure to 25 μM BDE-47 during
differentiation. In previous studies, alkylated metals such as tributyltin
(TBT) have been shown to activate the PPARγ/RXRα heterodimeric
complex in murine and human adipose-derived stromal stem cells[4,33] and in 3T3-L1 cells.[4] However, other
compounds such as BADGE and BPA,[6] and PCB-153,[17] have been shown to induce adipogenesis in 3T3-L1
cells by a PPARγ/RXRα independent mechanism. These results
indicate that EDCs may exert adipogenic effects via pathways other
than activation of key adipogenic transcription factors.
Differential
Expression and Promoter Demethylation of PPARγ
Because
only weak activation of PPARγ by BDE-47 was observed
during transient transfection experiments, differential expression
of several adipogenic target genes was examined to investigate other
transcriptional routes by which BDE-47 could exhibit its adipogenic
action. Generally, genes involved in the initiation of adipocyte differentiation
and maturation exhibited the same trend for both BDE-47 and the prototypical
PPARγ ligand TROG compared to the differentiated control. However,
the increased expression of Pparγ2 at 8 days
of differentiation, exclusively after BDE-47 exposure, was an unexpected
finding. Though further analysis is needed, the difference of Pparγ2 expression between BDE-47 and TROG may be explained
by the negative feedback of TROG on Pparγ2 expression
which has been reported in mature 3T3-L1 adipocytes.[34] A similar repression may not occur in response to BDE-47.We investigated if the increased gene expression of Pparγ2 found after BDE-47 exposure was related to a decreased methylation
status of the Pparγ2 promoter. It has been
established that the chromatin structure of the Pparγ2 promoter is more open in differentiated than undifferentiated adipocytes
and that several CpG sites are demethylated in the promoter region
of Pparγ2, which is linked to increased gene
expression.[23] We quantified the methylation
status of three CpG sites on the Pparγ2 promoter
and confirmed that the promoter is hypomethylated after differentiation
which is concurrent with the increased gene expression of Pparγ2. Importantly, we show for the first time that
both BDE-47 and TROG exposure resulted in significant lower methylation
levels of the Pparγ2 promoter after differentiation.
As the methylation status of the Pparγ2 promoter
was similar between BDE-47 and TROG, despite the differences in gene
expression, we hypothesize that additional loci amenable to methylation
or other epigenetic processes involved in Pparγ2 expression could be affected by BDE-47, such as histone modifications.[21,23]
Disturbed Glucose Homeostasis
Higher levels of G6pc mRNA were found in differentiated 3T3-L1 cells after
BDE-47 exposures compared to TROG. G6pc encodes for
the catalytic subunit of glucose-6-phosphatase and is responsible
for maintaining intercellular glucose levels.[35] Additionally, we found that Igf1 mRNA levels increased
up to 400 fold during differentiation and were highest in BDE-47 exposed
cells. It has been shown that either insulin or IGF1 is essential
to achieve proper differentiation in 3T3-L1 cells in a dose-dependent
matter.[36] Increased levels of IGF1 and
increased recovery rates of blood glucose in plasma have been found
in male rats perinatally exposed to BDE-47, accompanied by increased
body weight.[12] The increased expression
of G6pc found in livers of these animals was suggested
to be linked to the increased glucose uptake.[13] The elevated G6pc mRNA levels found with BDE-47
exposure in this study, together with the increased Igf1 mRNA levels during differentiation, suggests a similar mechanism
of glucose homeostasis disruption in 3T3-L1 cells. The elevated expression
of G6pc may also play a role in the increased Lep expression observed after BDE-47 exposure. Higher levels
of G6pc cause higher levels of cytoplasmic glucose,[35] which subsequently could lead to increased LEP
levels. Accordingly, enhanced Lep expression and
leptin release in 3T3-L1 adipocytes has been observed after glucose
exposure.[37] Further research is needed
to confirm a possible link between BDE-47-mediated elevation of intracellular
glucose levels, G6pc expression, and leptin levels.Changes in CGI methylation on the promoter of Lep, induced either directly by BDE-47 or indirectly via enhanced glucose
levels, could have been a possible mechanism leading to increased Lep gene expression, because hypomethylation of CGIs at
promoter regions of genes is associated with gene expression, whereas
hypermethylation is associated with long-term silencing of genes.[38] Demethylation of CGI1 of the Lep promoter after 3T3-L1 differentiation has been previously observed.[22] However, in this study, Lep promoter methylation was unchanged and highly methylated in all
treatments and in both undifferentiated and differentiated 3T3-L1
cells, despite the dramatic increase in gene expression of Lep after differentiation. In concordance with our results,
a recent animal study also failed to show a relationship between Lep expression and DNA methylation in adipose tissue.[39] We infer that other mechanisms mediated by BDE-47,
such as upstream transcription factor regulation or other epigenetic
mechanisms (e.g histone modifications), could be responsible for increased Lep expression.Our study shows adipogenic effects
of the ubiquitous environmental
contaminant BDE-47 at low nanomolar concentrations and identifies
putative mechanisms underlying the enhanced 3T3-L1 cell differentiation
by BDE-47. We propose that BDE-47 induces adipocyte differentiation
in vitro by increasing expression of Pparγ2 while weakly activating PPARγ. BDE-47 also leads to decreased
methylation of the Pparγ2 promoter, which may
play a role in the increased Pparγ2 expression.
A possible second mechanism suggests a role for BDE-47 in disruption
of glucose homeostasis and IGF1 signaling by increasing levels of
IGF1 and G6PC, which may ultimately result in enhanced Lep expression. Given the urgent need to understand how exposure to
chemicals may influence obesity, the results found in this study provide
new insights into the complex transcriptional mechanisms that are
associated with enhanced adipogenesis by EDCs. This study clearly
shows that EDC exposure may influence epigenetic events in vitro,
which warrants further study in vivo. Our findings indicate the importance
of further investigation of the obesogenic effects of brominated flame
retardants, given the continued exposure of humans to this class of
chemicals.
Authors: Timo Hamers; Jorke H Kamstra; Edwin Sonneveld; Albertinka J Murk; Monique H A Kester; Patrik L Andersson; Juliette Legler; Abraham Brouwer Journal: Toxicol Sci Date: 2006-04-06 Impact factor: 4.849
Authors: L C Alworth; K L Howdeshell; R L Ruhlen; J K Day; D B Lubahn; T H M Huang; C L Besch-Williford; F S vom Saal Journal: Toxicol Appl Pharmacol Date: 2002-08-15 Impact factor: 4.219
Authors: Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman Journal: Genome Biol Date: 2002-06-18 Impact factor: 13.583
Authors: Bo Wang; Qiyuan Yang; Corrine L Harris; Mark L Nelson; Jan R Busboom; Mei-Jun Zhu; Min Du Journal: Meat Sci Date: 2016-04-08 Impact factor: 5.209
Authors: Ann M Vuong; Joseph M Braun; Zhiyang Wang; Kimberly Yolton; Changchun Xie; Andreas Sjodin; Glenys M Webster; Bruce P Lanphear; Aimin Chen Journal: Environ Int Date: 2018-12-04 Impact factor: 9.621
Authors: Jerrold J Heindel; Bruce Blumberg; Mathew Cave; Ronit Machtinger; Alberto Mantovani; Michelle A Mendez; Angel Nadal; Paola Palanza; Giancarlo Panzica; Robert Sargis; Laura N Vandenberg; Frederick Vom Saal Journal: Reprod Toxicol Date: 2016-10-17 Impact factor: 3.143