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First published online May 1, 2009
Journal of Experimental Biology 212, 1553-1558 (2009)
Published by The Company of Biologists 2009
doi: 10.1242/jeb.022210
The role of insulin and glucose in goose primary hepatocyte triglyceride accumulation
Key Lab of Animal Genetic Resources, College of Animal Science and Technology, Sichuan Agricultural University, Ya'an, Sichuan 625014, P.R.C.
* Author for correspondence (e-mail: wjw2886166{at}163.com)
Accepted 10 March 2009
| Summary |
|---|
|
|
|---|
(ACC
) and fatty acid synthase (FAS)
activity, and the mRNA levels of sterol regulatory element-binding protein-1
(SREBP-1), FAS and ACC
genes. Insulin at 200
nmol l–1 had an inhibiting effect on TG accumulation and the
activity of ACC and FAS, but increased the gene expression of SREBP-1, FAS and
ACC
. We also found that high glucose (30 mmol l–1)
increased the TG level, ACC and FAS activity, and the mRNA levels of SREBP-1
and FAS. However, there was no effect of high glucose on ACC
mRNA
level. In addition, the interaction between insulin and glucose was observed
to induce TG accumulation, ACC and FAS activity, and gene expression of
SREBP-1, FAS and ACC
, and increase SREBP-1 nuclear protein level and
binding of nuclear SREBP-1 and the SRE response element of the ACC
gene. The result also indicated that the glucose-induced TG accumulation
decreased after 96 h when the hepatocytes were cultured with 30 mmol
l–1 glucose. In conclusion, insulin and glucose may affect
hepatic lipogenesis by regulating lipogenic gene expression and lipogenic
enzyme activity in goose hepatocytes, and SREBP-1 might play an important role
in the synergetic activation of lipogenic genes. We propose that the
utilization of accumulated TG in hepatocytes is the reason for the reversible
phenomenon in goose hepatocellular steatosis.
Key words: glucose, goose primary hepatocytes, insulin, triglyceride accumulation
| INTRODUCTION |
|---|
|
|
|---|
De novo fatty acid synthesis in liver is regulated by insulin and
glucose (Koo et al., 2001
;
Stoeckman and Towle, 2002
).
The lipogenic genes [including acetyl-CoA carboxylase-
(ACC
) and fatty acid synthase (FAS)] are activated by
a combined effect of glucose and insulin in activating sterol regulatory
element-binding protein-1 (SREBP-1) (Koo
et al., 2001
; Dentin et al.,
2004
). Two isoforms of SREBP have been identified in mammals:
SREBP-1a and SREBP-1c. In chicken, however, only one form of SREBP-1 was
observed, which was similar to the SREBP-1a in mammals
(Zhang and Hillgartner, 2004
).
Previous studies have shown that SREBP-1c expression itself can only partly
explain the glucose/insulin induction of lipogenic genes in primary cultured
hepatocytes (Koo et al., 2001
;
Dentin et al., 2004
;
Stoeckman and Towle, 2002
;
Dentin et al., 2005
). The
transcriptional induction of ACC
and FAS genes
requires both glucose and insulin (Dentin
et al., 2005
; Foufelle and
Ferre, 2000
). Thus, in order to understand the mechanism of
hepatic steatosis, it is important to elucidate the role of insulin and
glucose in triglyceride (TG) accumulation in waterfowl.
Sichuan white goose (Anser cygnoides) has a moderate capability to
produce fatty liver, and it is suitable as a model system to understand the
regulation of lipogenesis by insulin and glucose. We therefore isolated
primary hepatocytes in Sichuan white geese as the experimental material. The
present study was designed to investigate the regulation of lipogenesis by
insulin and glucose in hepatocytes, which could be reflected by the effect of
insulin and glucose on the accumulated lipids, ACC and FAS activity, the mRNA
expression of SREBP-1, FAS and ACC
, and the binding of nuclear SREBP-1
and the SRE response element of the ACC gene.
| MATERIALS AND METHODS |
|---|
|
|
|---|
Isolation of total RNA and real-time RT-PCR
Total RNA was isolated from cultured cells using Trizol (Invitrogen,
Carlsbad, CA, USA), and reverse transcribed using the PrimerScriptTM RT
system kit for real-time PCR (TaKaRa, Otsu, Japan) according to the
manufacturer's instructions. The quantitative real-time PCR reaction mix
contained the newly generated cDNA template, SYBR Premix Ex TaqTM,
sterile water, and primers of the target genes. Real-time PCR was obtained on
the Cycler system (one cycle of 95°C for 10 s, 40 cycles of 95°C for 5
s, and 60°C for 40 s). An 80 cycle melt curve was performed, starting at
55°C and increasing by 0.5°C every 10 s, to determine primer
specificity. Specific primers are listed in
Table 1, designed according to
the goose gene sequences: the FAS gene sequence was from GenBank
(GenBank accession no. M60622); the SREBP-1 and ACC
genes were sequenced in our lab (GenBank accession nos EU333990 and
EF990142).
|
Amplicons corresponding to each target were examined by agarose gel
electrophoresis to confirm the presence of a unique band of the expected size.
Negative controls corresponding to PCR amplification with non-reverse
transcribed RNA did not generate any signal. All samples were amplified in
duplicate, with the same PCR mixture and in the same 96-well plate. The cycle
threshold variation observed between duplicates was on average
0.12±0.1, demonstrating a high intra-assay reproducibility. Each sample
was also replicated in another 96-well plate. The variation of Ct between two
independent plates was 0.28±0.22, showing a fair interassay
reproducibility as well. PCR products were then diluted 16-fold and were used
to generate the calibration curve and the amplification rate (R) for
each gene (SREBP-1, ACC
, FAS or 18S). For
each experimental sample, a normalized target gene level (Exp) corresponding
to the target gene expression level relative to the 18S (house
keeping gene) expression level was determined by the
2–
Ct method as described previously
(Livak and Sehmittgen, 2001
):
![]() | (1) |
Preparation of hepatocyte nuclear extracts
Nuclear extracts were prepared by a modified version of a procedure
described previously (Azzout-Marniche et
al., 2000
). Briefly, cultured hepatocytes in 60 mm plates were
scraped into PBS, combined, and centrifuged at 1000 g for 3
min. The cell pellet was resuspended in 2 ml of lysis buffer (10 mmol
l–1 Tris-HCl, 0.3 mol l–1 sucrose, 10 mmol
l–1 NaCl, 3 mmol l–1 MgCl2, 0.5%
Nonidet P40, 50 g ml–1 calpain inhibitor I, 1 mmol
l–1 PMSF, 2 g ml–1 aprotinin and 10 g
ml–1 leupeptin). After 15 min on ice, nuclei were pelleted by
10 min centrifugation (500 g) at 4°C and washed once in
the same buffer. The nuclear pellet was resuspended in 1 ml of hypertonic
buffer (10 mmol l–1 Hepes, pH 7.4, 0.42 mol
l–1 NaCl, 1.5 mmol l–1 MgCl2,
2.5% glycerol, 1 mmol l–1 EDTA, 1 mmol l–1
EGTA, 1 mmol l–1 dithiothreitol, and the same protease
inhibitors listed for the lysis buffer). After 30 min on ice, the nuclear
extract was obtained by centrifugation at 100,000 g for 30 min
at 4°C. Protein content was determined by spectrophotometry using a
Bio-Rad protein assay reagent with bovine serum albumin as a standard.
SREBP-1 protein analysis by western blotting
Aliquots of nuclear proteins (40 µg for cell extracts) were separated by
10% SDS-PAGE and transferred to PVDF membrane. Membranes were then incubated
with mouse anti-SREBP-1 monoclonal antibody (Lab Vision Corporation, Fremont,
CA, USA). The primary antibody was used at a concentration of 4 g
ml–1. Signals were detected using an ECL western blot
detection kit (Santa Cruz Biotechnology, Santa Cruz, CA, USA) and goat
anti-mouse horseradish peroxidase-conjugated IgG (Santa Cruz Biotechnology) as
the secondary antibody. After analysis, the membranes were stripped with
Re-Blot Plus solution (Chemicon International, Temecula, CA, USA) and blotted
with
-tubulin antibody (TU-02, Santa Cruz Biotechnology) to normalize
for protein level. The blot images were digitized with a luminescent image
analyser (LAS-1000, Fuji Photo Film).
Electrophoretic mobility shift assay
EMSA was performed as described previously
(Bobard et al., 2005
). The
double-stranded DNA fragment (5'-TCGCATCACACCACCGCGG-3')
containing the SRE response element of the ACC gene was 5'-end
labelled with
-P32ATP using T4 polynucleotide kinase. A
typical reaction contained 100,000 c.p.m. (10–20 fmol) of
32P-labelled oligonucleotide and 4 µg nuclear protein; 2 mg of
poly(dIzdC) and 1.9 mg of poly(dAzdT) were used as non-specific competitors
for the EMSAs. Following incubation at room temperature for 30 min, samples
were subjected to electrophoresis on a 4.5% non-denaturing polyacrylamide gel
and imaged by PhosphorImager analysis. SREBP-1 antibody was added to nuclear
protein for 20 min at 4°C prior to the addition of the probe. For
competitive binding, a 10-, 25- or 50-fold molar excess of unlabelled
oligonucleotide was added together with radiolabelled probe prior to the
incubation.
Measurement of TG accumulation, and ACC and FAS activity
Samples of cultured cells for each treatment were shaken for 1 h using an
ultrasonic processor, then washed three times with ice-cold phosphate-buffered
saline and added to an isovolumic mixture of chloroform and methanol (2:1,
v/v). The TG level was quantified by a colorimetric enzymatic method
(Fossati and Prencipe, 1982
)
using a Triglyceride GPO-POD assay kit (Biosino, Beijing, China). The assay
for FAS activity was performed according to Ingle et al.
(Ingle et al., 1973
), with
some modifications. The FAS activity was calculated from the rate of
transformation of NADPH to NADP in incubations containing substrate, cofactors
and cell samples, by spectrophotometry at 340 nm. The concentration of the
reagents was: 40 mmol l–1 potassium phosphate buffer plus
EDTA (pH 6.8), 0.1 mmol l–1 malonyl CoA, 0.1 mmol
l–1 acetyl-CoA, 0.3 mmol l–1 NADPH and 0.4
mmol l–1 dithiothreitol. ACC activity was measured as
described previously (Majerus et al.,
1968
) with substantial modifications. The concentration of
reagents was: 60 mmol l–1 Tris-HCl, pH 7.50, 2.1 mmol
l–1 ATP, 5 mmol l–1 MgCl2, 0.15
mmol l–1 acetyl-CoA, 1.2 mmol l–1
β-mercaptoethanol, 1 mg ml–1 fatty acid-free bovine
serum albumin, 18 mmol l–1 NaH[14C]O3
(specific activity 0.5 mCi mmol l–1) and 10 mmol
l–1 sodium citrate. The assay was terminated by the addition
of 1/6 volumes of 10% perchloric acid. An aliquot of the protein-free
supernatant was dried in a counting vial under a hair dryer, then the residue
was dissolved in a small volume of water and scintillation fluid was added.
ACC activity is expressed as nmoles of substrate (H[14C]O
–3) fixed to malonyl CoA per min per g of
cytosolic protein at 37°C. Protein concentration in the homogenate was
determined by the Biuret method using bovine serum albumin as a standard, and
activities are expressed as nmoles min–1
mg–1 of cytosolic protein. Analyses were performed in
duplicate.
Statistical analysis
The data were subjected to ANOVA and the means were compared for
significance by Tukey's test. Analysis of variance and t-test were
performed using the SAS 6.12 package (SAS Institute, Cary, NC, USA). Results
are presented as means ± s.d.
| RESULTS |
|---|
|
|
|---|
|
Compared with the control group, Table 2 shows that at 100–200 nmol l–1 insulin increased FAS activity, with 150 nmol l–1 insulin having the greatest effect (P<0.05). Low (5 mmol l–1) glucose had no effect on FAS activity, but high (30 mmol l–1) glucose had a significant effect (P<0.05). Low glucose and 50 nmol l–1 insulin cultured together had an evident effect (P<0.05) on FAS activity, and high glucose and 50 nmol l–1 insulin together increased FAS activity too (P<0.05).
Table 2 shows that 100 nmol l–1 and 150 nmol l–1 insulin both increased (P<0.05) ACC activity, and 200 nmol l–1 insulin had an inhibitory effect (P<0.05). Low and high glucose both had no effect on ACC activity, but ACC activity could be up-regulated (P<0.05) by both low and high glucose together with 50 nmol l–1 insulin.
|
|
Regulation of gene expression by insulin in goose primary hepatocytes
Fig. 2 shows that the
regulation of SREBP-1, FAS and ACC
gene expression
was similar. Insulin at 0–50 nmol l–1 had no evident
effect on the mRNA level of the three genes. The gene expression was
up-regulated by 100 nmol l–1 insulin and reached a maximum at
150 nmol l–1, followed by a decrease at 200 nmol
l–1.
Glucose and insulin regulate the mRNA expression of SREBP-1 and lipogenic genes
Table 3 presents the
synergetic effect of insulin and glucose on the mRNA expression of SREBP-1,
FAS and ACC
by quantitative real-time PCR analysis. Low glucose did not
have a significant effect on the mRNA expression level of SREBP-1 and FAS, but
high glucose had significant effects on the amount of SREBP-1 and FAS mRNA.
However, neither low nor high glucose had an evident effect on ACC
mRNA
level. Insulin at 50 nmol l–1 and low glucose together had a
significant stimulatory effect on expression of the three genes, and 50 nmol
l–1 insulin and high glucose together had the greatest
effect.
|
Synergetic effects of glucose and insulin on SREBP-1 translation
To determine whether glucose and insulin affect SREBP-1 translation, goose
hepatocytes were exposed to glucose and insulin for 48 h.
Fig. 3 shows the effects of
glucose and insulin on SREBP-1 protein expression. After incubation with 50
nmol l–1 insulin or 5 mmol l–1 glucose there
was no evident effect, but a significant increase in SREBP-1 protein level
induced by 50 nmol l–1 insulin plus 5 mmol
l–1 glucose was observed.
|
SRE sequence was induced by 50 nmol
l–1 insulin plus 5 mmol l–1 glucose.
|
| DISCUSSION |
|---|
|
|
|---|
(Azzout-Marniche et al., 2000
mRNA level (Zhang et
al., 2003
and FAS in goose primary
hepatocytes. In particular, SREBP-1 was up-regulated 1000 times by 150 nmol
l–1 insulin compared with controls, which was rarely found in
other species. The great induction of SREBP-1 mRNA expression indicates that
SREBP-1 may be the main pathway of lipogenesis induced by insulin in geese. In
addition, TG accumulation, and ACC and FAS activity were stimulated by
insulin. In mammals, insulin is the main hormone regulating the expression of
SREBP-1, and it was found to not only induce the transcription of SREBP-1 but
also stimulate the development of the mature form of SREBP-1, and so modulate
hepatic lipogensis (Foretz et al.,
1999a
and FAS, which may be the result of the high
concentration of insulin exceeding the tolerance of goose hepatocytes, leading
to a decrease in insulin sensitivity, and an increase in resistance to
insulin.
With respect to the influence of glucose on the expression of SREBP-1 and
lipogenic enzymes, previous studies have shown inconsistent findings. Some
investigators have reported that glucose activated SREBP-1 expression in a
mouse hepatocyte cell line (Hasty et al.,
2000
), whereas others found that in primary rat hepatocytes and
rat livers glucose potentiated the effect of insulin on SREBP-1c expression
but had no effect in the absence of insulin
(Shimomura et al., 1999
;
Foretz et al., 1999b
).
Recently, Matsuzaka and colleagues demonstrated that at least part of the
controversy probably results from species differences, and glucose can
activate expression of SREBP-1c in mouse liver independent of insulin, whereas
the activation of SREBP-1c expression by glucose in rat liver is very limited
in the absence of insulin (Matsuzaka et
al., 2004
). The current study shows that glucose is the main
inducer of hepatic lipogenesis. The increase in TG accumulation and FAS
activity induced by glucose was more evident than that by insulin. We compared
TG accumulation, FAS activity, and mRNA expression of SREBP-1, ACC
and
FAS of goose primary hepatocytes cultured in either low or high
glucose-containing medium. It is likely that culture in medium containing low
glucose might be comparable with normal feeding conditions. In contrast, when
cells were cultured in the presence of high glucose, TG accumulation, and
SREBP-1c and FAS levels increased significantly, which might be equivalent to
an overfeeding situation (Kim and Freake,
1996
; Zhang and Hillgartner,
2004
). The TG accumulation returned to the control level 96 h
after 30 mmol l–1 glucose addition. This is very similar to
the reversible phenomenon. When the energy level is insufficient, TG is
hydrolysed to supply the energy required by the liver. So the utilization of
accumulated TG in hepatocytes is the reason for the reversible phenomenon in
goose hepatocellular steatosis. In agreement with this, the current study
indicated that glucose in excess is responsible for inducing fatty liver in
geese.
Glucose and insulin display a marked synergism in lipogenesis in mammals
(Koo et al., 2001
;
Vaulont et al., 2000
), and our
results in goose primary hepatocytes are consistent with these previous
findings; insulin could increase glucose uptake and utilization. In the
presence of insulin, low glucose increased TG accumulation, ACC and FAS
activity, expression of SREBP-1, ACC
and FAS genes,
and the protein level of nuclear SREBP-1. In the presence of insulin, the
effect of high glucose reached a maximum. The EMSA results indicated that
SREBP-1 might play a role in the synergetic activation of lipogenic genes
induced by glucose and insulin. One potential explanation for the maximum
effect requiring both insulin and high glucose could be linked to the fact
that the glucose carbon atoms are orientated towards lipid synthesis only if
glucose is particularly abundant. This is consistent with our previous study
that the plasma concentrations of glucose and insulin were both higher in
Landes geese, which have a more fatty liver than normal geese
(Han et al., 2008
). It is
indicated that the metabolism of insulin and glucose are closely related to
lipogenesis, and upsetting their metabolic balance may affect the regulation
of SREBP-1, ACC
and FAS gene expression, and result
in the accumulation of lipids in hepatocytes and so cause hepatocellular
steatosis.
In conclusion, we found that both insulin and glucose could induce the mRNA
expression of SREBP-1 and several lipogenic genes, and stimulate ACC and FAS
activity, which may relate to the elevated accumulation of TG in hepatocytes.
In addition, glucose may affect hepatocellular lipogenesis through the
interaction with insulin. Our results indicate that the activation of
ACC
and other downstream SREBP-1 targets by insulin and glucose in
goose primary hepatocytes is likely to be secondary to the stimulation by
SREBP-1.
LIST OF ABBREVIATIONS

.
| Footnotes |
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