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TRANSCRIPT
Ghrelin inhibition restores glucose homeostasis in hepatocyte nuclear factor-1alpha
(MODY3) deficient mice
François Brial,1 Carine R. Lussier,
1 Karine Belleville,
2 Philippe Sarret,
2 and François Boudreau
1
1 Department of Anatomy and Cell Biology and
2 Department of Pharmacology and Physiology,
Faculty of Medicine and Health Sciences, Université de Sherbrooke, Quebec, Canada.
Short running title: Anti-ghrelin therapy in MODY3-deficient mice
Correspondence: Pr. François Boudreau, Département d’Anatomie et de Biologie Cellulaire,
Faculté de Médecine et des Sciences de la Santé, Pavillon de recherche appliquée sur le cancer,
3201 rue Jean-Mignault, Sherbrooke, QC Canada, J1E 4K8. Tel: 819-821-8000 ext 72122. Fax:
819 820-6831. E-Mail: [email protected]
Word count: 2,000
Number of figures: 4
Page 1 of 22 Diabetes
Diabetes Publish Ahead of Print, published online May 15, 2015
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ABSTRACT
Hepatocyte nuclear factor-1α (HNF1α) is a transcription factor expressed in tissues of endoderm
origin. Mutations in HNF1A are associated with maturity-onset diabetes of the young 3
(MODY3). Mice deficient for Hnf1α are hyperglycemic with their pancreatic β-cells being
defective in glucose-sensing insulin secretion. The specific mechanisms involved in this defect
are unclear. Gut hormones control glucose homeostasis. Our objective was to explore whether
changes in these hormones play a role in glucose homeostasis in absence of Hnf1α. An increase
in ghrelin gene transcript and a decrease in glucose-dependent insulinotropic polypeptide (GIP)
gene transcripts were observed in the gut of Hnf1α null mice. These changes correlated with an
increase of ghrelin and a decrease of GIP labeled-cells. Ghrelin serological levels were
significantly induced in Hnf1α null mice. Paradoxically, GIP levels were also induced in these
mice. Treatment of Hnf1α null mice with a ghrelin antagonist led to a recovery of the diabetic
symptoms. We conclude that up-regulation of ghrelin in absence of Hnf1α impairs insulin
secretion and can be reversed by pharmacological inhibition of ghrelin/GHS-R interaction. These
observations open up on future strategies to counteract ghrelin action in a program that could
become beneficial in controlling non-insulin dependent diabetes.
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INTRODUCTION
Maturity-onset diabetes of the young (MODY) is a monogenic autosomal dominant form of
diabetes that first occurs during early adulthood and characterized by pancreatic β-cell
dysfunction (1). Subtypes of MODY have been classified based on the specific nature of the
mutated genes of which six have been identified (2). MODY3, the most common MODY
mutation in the population, encodes the transcription factor HNF1α (3; 4) involved in regulation
of a large subset of genes in the liver, pancreas, kidney and intestine. Although some pancreatic
HNF1α targets are suggested to impact the disease phenotypes, the exact nature of the molecular
links between loss of HNF1α function and manifestation of the disease is still unclear.
Mouse models with deletion of Hnf1α functions display hepatic and renal dysfunction coupled
to non-insulin-dependent diabetes and dwarfism (5; 6). While these mice still produce insulin,
their pancreatic β-cells are defective in glucose-sensing insulin secretion (7; 8). Simultaneous
Hnf1α reexpression in both liver and endocrine pancreas of Hnf1α null mice failed to restore
normal blood glucose and insulin levels suggesting that other tissues in which Hnf1α was deleted
could be participating in the diabetic phenotype of these mice (9).
Gut hormones are produced by enteroendocrine cells and are crucial regulators of glucose
homeostasis and pancreatic insulin secretion (10). Glucose-dependent insulinotropic polypeptide
(GIP) and glucagon-like peptide 1 (GLP-1) are incretins that stimulate insulin secretion while
ghrelin targets pancreatic β-cells to limit insulin production (10). Hnf1α null mice display
intestinal epithelium dysfunctions including altered enteroendocrine cell differentiation (11).
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Here, we aimed to explore if specific changes in gastrointestinal hormones could functionally
relate to glucose homeostasis in Hnf1α null mice.
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RESEARCH DESIGN AND METHODS
Animals and Analytical procedures
Hnf1α null mice (5; 11) and control littermates were treated in accordance with the Institutional
Animal Research Review Committee of the Université de Sherbrooke (approval ID number 102-
14B). Hnf1α null mice were genotyped as described before (11). Blood glucose values were
determined from whole venous blood from mice fed ad libitum or 16-hr-fasted using a glucose
monitor (FreeStyle Lite, Abbott Diabetes Care). (D-Lys3)-GHRP6 (Bachem), a classical but not
highly selective GHS-R antagonist (12-14), was freshly diluted in 100 µl of saline and
intraperitoneal (IP) injections were performed every 12 hours during 5 consecutive days followed
by a 16-hr-fasting period before sacrifice or IP glucose tolerance tests (IPGTT) (2 g of D-
glucose/Kg). Optimal dose of GHS-R antagonist (200 nmoles/30 g) was determined accordingly
to previous published work (15; 16). For metabolic analyses, mice were individually placed in
metabolic cages, provided with the same quantities of food and water and housed on a reverse
light-dark cycle. All groups were fed ad libitum throughout the duration of the study. Following
a 5-day adaptation period after being transferred from group housed cages to single housed
metabolic cages, mice were treated with GHS-R antagonist or saline during 5 days. Body weight
(g), food intake (g), water intake (ml), urine (ml), and feces (g) were measured every morning
before injections. Urine glucose content was determined with Chemstrip 10® urine test strips
(Roche Diagnostics).
RNA isolation and RT-PCR
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Total RNA from the jejunum and stomach was isolated and qRT-PCR performed as previously
described (11). Results were calibrated with TATA box binding protein (TBP). Primer
sequences are available upon request.
Immunofluorescence
Jejunum segments and pancreas were fixed in 4% paraformaldehyde overnight at 4°C,
dehydrated, embedded in paraffin and cut to 5-µm sections. Immunofluorescences were
performed as previously described (17). The following affinity-purified antibodies (Santa Cruz
Biotechnology) were used: goat anti-Ghrelin (sc-10368; diluted 1/100), goat anti-GIP (sc-23554;
diluted 1/50) and mouse anti-Insulin (sc-8033; diluted 1/200).
ELISA
Blood was collected from the right heart ventricle of 16-hr-fasted mice and pretreated with
Pefabloc solution (Ghrelin) or dipeptidyl peptidase 4 (DPP4) inhibitor (GIP and GLP-1). After 30
min at room temperature, samples were centrifuged at 3,000 g for 15 min at 4°C. Acidification of
the serum samples with HCl to a final concentration of 0.05 N was performed. Total Ghrelin
(EZRGRT-91K), Active ghrelin (EZRGRA-90K), Total GIP (EZRMGIP-55K), Active GLP-1
(EGLP-35K) and Insulin (EZRMI-13K) were measured using ELISA kits from EMD Millipore.
Total Glucagon was assessed with the ELISA kit DGCG0 (R&D Systems). The Ultra Sensitive
Mouse Insulin ELISA kit 90080 (CrystalChem) was used during IPGTT procedures. Total DPP4
was measured with the DPP4 ELISA kit SEA884Mu (USCN Life Science).
Statistical analysis
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Statistical analyses were performed using the GraphPad Prism 6 software. Statistics were
calculated using the two-way Student’s two-tailed t test or two-way nested analysis of variance
(ANOVA). Differences were considered significant with a P value of < 0.05.
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RESULTS
Assessment of circulating levels of glucose (Fig.1A), insulin (Fig.1B) and glucagon (Fig.1C) in
Hnf1α mutant and control mice confirmed hyperglycaemic state of the mutants with reduced
circulating insulin levels without alteration of glucagon levels. Immunofluorescence detection of
insulin in the pancreas of Hnf1α mutant (Fig.1D) and control mice (Fig.1E) suggested a
comparable potential of pancreatic β-cells in expressing insulin peptide. Since the intestinal
endocrine system plays a crucial role in regulating glucose metabolism, expression of relevant
hormones in the intestine of Hnf1α mutant mice was monitored. Analysis of gene transcript
expression for ghrelin, GIP and GLP-1 was determined by RT-qPCR in the jejunum of newborn
and adult Hnf1α mutant and control mice. While ghrelin transcripts were significantly increased
in the jejunum of mutant as compared to control mice (1.79 fold-increase at day 1, P < 0.01; 4.30
fold-increase at 4 months, P < 0.01, Fig.1F), GIP transcripts were significantly decreased (4.41
fold-decrease at day 1, P < 0.05; 3.48 fold-decrease at 4 months, P < 0.01, Fig.1G). GLP-1
transcripts were not affected under these conditions (Fig.1H). Immunofluorescences were
performed to monitor the distribution of corresponding enteroendocrine cells. The number of
ghrelin-positive cells was significantly increased in the jejunum of adult Hnf1α mutant when
compared to control mice (3.72 fold-increase, P < 0.0001, Fig.1I-J) while the number of GIP-
positive cells decreased (2.23 fold-decrease, P < 0.0001, Fig.1K-L).
ELISA was next performed to measure circulating levels of gastrointestinal hormones in Hnf1α
mutant and control mice. Total circulating ghrelin was significantly increased in Hnf1α mutant
as compared to control mice (6.57 fold-increase at 1 month, P < 0.001 and 4.16 fold-increase at 4
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months, P < 0.01, Fig.2A). These increases were also reflected at the level of active ghrelin form
(4.92 fold-increase at 1 month, P < 0.01 and 4.72 fold-increase at 4 months, P < 0.05, Fig.2B).
As opposed to gene transcripts level, total circulating GIP was significantly up-regulated in
Hnf1α mutant as compared to control mice (14.51 fold-increase at 1 month, P < 0.05 and 4.03
fold-increase at 4 months, P < 0.01, Fig.2C). Basal active GLP-1 circulating levels were
undetectable in both Hnf1α mutant and control mice under these conditions. Since GIP peptide
stability is dependent on DPP4 activity (18) and Hnf1α activates transcription of DPP4 (19),
DPP4 circulating levels were measured. A reduction of circulating DPP4 was observed in Hnf1α
mutant as compared to control mice (5.07 fold-decrease, P < 0.01, Fig.2D). Since ghrelin is
mostly secreted from the stomach and the jejunum, the relative ratio of active ghrelin in each of
these tissues was monitored in Hnf1α mutant and control mice. ELISA revealed a significant
2.55 fold-increase (P < 0.05) in active ghrelin per gram of jejunum of Hnf1α mutant when
compared to control mice, while no significant change was observed in the stomach of these
animals (Fig.2E). Coincidently, ghrelin transcripts were not significantly modulated in the
stomach of Hnf1α mutant as compared to control mice (P = 0.49, n = 4).
Ghrelin can limit insulin release by interacting with the GHS-R1a receptor on β-pancreatic cells
(20). To test whether increases in active ghrelin were functionally related to the hypoinsulinemia
state of Hnf1α mutant mice, the GHS-R antagonist [D-Lys-3]-GHRP-6 was administrated IP to
mice. Single injections of the GHS-R antagonist every 12 hours progressively led to a decrease in
blood glucose level in Hnf1α mutant mice to reach statistically undistinguishable levels from the
controls after 5 days of treatment (Fig.3A). This effect was reversible with a progressive return
to hyperglycaemia steady state 1 week after stopping injections (Fig.3B). Hypoinsulinemia of
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Hnf1α mutant mice was corrected after 5 days of ghrelin antagonist treatment (Fig.3C). IPGTT
were further performed to monitor glucose clearance of treated and non-treated mice. Glucose
levels in fasted non-treated Hnf1α mutant mice rose above 23 mmol/L after 15 min and failed to
significantly decline at 120 min (Fig.3D). Glucose levels in fasted Hnf1α mutant mice pre-
treated with GHS-R antagonist rose above non-treated and treated control mice at 15 min but
rapidly declined to reach comparable values with the control groups at 120 min (Fig.3D). AUC
calculations revealed a significant recovery for Hnf1α mutant mice pre-treated with the GHS-R
antagonist in blood glucose clearance (Fig.3E). Circulating insulin levels during IPGTT were
significantly increased between Hnf1α mutant mice pre-treated with GHS-R antagonist versus
non-treated Hnf1α mutant mice (Fig.3F) while GIP levels were significantly decreased with
GHS-R antagonist pre-treatment (Fig.3G).
Since ghrelin can impact on appetite and metabolism, solid and liquid metabolism was
investigated among the various mouse groups using metabolic cages. Analysis of solid
metabolism indicated that food-intake ratios were increased in Hnf1α mutant compared to control
mice (145%) and GHS-R antagonist treatment did not significantly influence this tendency
(Fig.4A). This observation was consistent with fecal ratios that were increased in Hnf1α mutant
mice (178%, Fig.4B). Analysis of liquid metabolism revealed that water intake ratios were
increased by 182% in Hnf1α mutant compared to control mice (Fig.4C) and GHS-R antagonist
treatment significantly reduced this ratio in Hnf1α mutant mice (Fig.4C). Urine ratios were not
significantly affected when Hnf1α mutant mice were compared to controls (Fig.4D). However,
GHS-R antagonist treatment significantly reduced this ratio in both Hnf1α mutant and control
mice (Fig.4D). Detection of glucose in the urine of these Hnf1α mutant mice revealed an
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important eradication of glucose content after GHS-R antagonist treatment (Fig.4E) while control
mice remained negative under these treatments (not shown).
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DISCUSSION
MODY3 is characterized by a loss of insulin secretory capacity. Past efforts to better define
molecular links between HNF1α function and disease phenotypes have focused on the pancreas
(21). Using Hnf1α mutant mice, we identified a novel functional regulatory loop between
deregulated production of intestinal ghrelin, restricted potential of insulin secretion and control of
blood glucose homeostasis.
Our data suggest that sustained increases of circulating ghrelin in Hnf1α mutants are dependent
on defects from the intestine. This assumption is reasonable given that intestine size is larger
than stomach and that Hnf1α mutants display intestinalomegaly (11). Although studies support
that pancreatic epsilon cells can produce ghrelin (22), attempts to detect ghrelin in the pancreas of
Hnf1α mutants was unsuccessful. These observations suggest that specific regulatory
mechanisms must occur to differentially regulate expression and/or ghrelin cells commitment in
the intestine as compared to other tissues.
The regulatory mechanisms connecting Hnf1α with ghrelin and GIP expression are likely to be
complex. Loss of Hnf1α could mechanistically impact enteroendocrine cells fate including GIP
and ghrelin cells. It is also possible that Hnf1α regulates ghrelin and GIP transcription.
Bioinformatic analysis of murine ghrelin and GIP gene promoters predicted several
Hnf1α elements. In contrast to GIP, this transcriptional connection would imply a negative
regulatory loop for ghrelin as it has been suggested for Pax4 transcriptional regulator (23).
However, assessment of such mechanisms remain challenging since the population of intestinal
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ghrelin and GIP cells represent a tiny portion of this epithelium and no normal enteroendocrine
cellular models are yet available for such studies.
Although the number of GIP positive cells and gene transcripts are reduced in the small intestine
of Hnf1α mutants, GIP circulating levels are paradoxically increased. Similar observations were
reported in type 2 diabetic patients with exaggerated GIP secretion and dissociated insulin
response (24; 25). GIP peptide stability could be increased due to the reduction of circulating
DPP4 in Hnf1α mutant mice.
In conclusion, pharmacological blockade of ghrelin/GHS-R interaction corrected diabetic
features in a MODY3 mouse model. This opens up on pre-clinical studies targeting MODY3
patients in a program designed to limit ghrelin action and better control blood glucose
homeostasis.
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ACKNOWLEDGMENTS
The authors thank the Electron Microscopy & Histology Research Core of the FMSS at the
Université de Sherbrooke for their histology and phenotyping services. This study was supported
by a grant from CIHR (MOP-126147 to F.Bo.). C.R.L was a recipient of a NSERC fellowship.
F.Bo. and P.S. are members of the FRQS-funded « Centre de Recherche du CHUS».
F.B., C.R.L and K.B. designed, researched data, and reviewed, edited and approved the final
version of the manuscript. P.S. designed and approved the final version of the manuscript. F.Bo.
designed, researched data, wrote the manuscript, and reviewed, edited, and approved the final
version of the manuscript. F.Bo. is the guarantor of this work and, as such, had full access to all
the data in the study and takes responsibility for the integrity of the data and the accuracy of the
data analysis.
Data from this study were presented in part at the Canadian Digestive Disease Week 2013 in
Victoria (Canada) and at the Digestive Disease Week 2013 in Orlando (USA).
The authors have no conflict of interest to declare.
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FIGURE LEGENDS
Figure 1. Loss of Hnf1αααα affects expression of gastrointestinal hormones. Blood glucose (A),
insulin (B) and glucagon (C) levels were determined from 16-hr fasted adult control and Hnf1α
null mice (n=5-9). Representative immunofluorescence for insulin was performed on sections of
pancreas of both Hnf1α mutant (D) and control (E) mice. qRT-PCR detection of Ghrelin (F), GIP
(G) and GLP-1 (H) mRNA was performed on total small intestinal RNA extracts from newborn
and adults control and Hnf1α null mice and calibrated in comparison to TBP mRNA detection
(n=4-7). The proximal small intestine of both control and Hnf1α null mice was labeled for
ghrelin (I) or GIP (K) by immunofluorescence. Total numbers of positively stained cells for
ghrelin (J) and GIP (L) were calculated on an average of 40 crypt-villus axis per animal (n = 6); *
P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001. Data were analysed with the unpaired t
test and error bars represent SE.
Figure 2. Loss of Hnf1αααα impacts ghrelin and GIP circulating levels. Total ghrelin (A), active
ghrelin (B), GIP (C) and DPP4 (D) circulating levels were assessed from 16-hr fasted adult
control and Hnf1α null mice by ELISAs (n = 3-6). (E) Total protein extracts were isolated from
whole stomach or jejunum of 16-hr fasted adult control and Hnf1α null mice and active ghrelin
was assessed by ELISA (n=5-6); * P < 0.05, ** P < 0.01, *** P < 0.001. Data were analysed
with the unpaired t test and error bars represent SE.
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Figure 3. Impact of Hnf1αααα mutant mice treatment with the GHS-R antagonist on glucose
homeostasis. (A) Adult control and Hnf1α null mice were IP injected with saline (upper panel)
or GHS-R antgonist (lower panel) for 5 days. Blood glucose levels were assessed every morning
of each day (n=6 for each group). (B) Hnf1α null mice were IP injected with GHS-R antagonist
for 5 days and left to recover. Blood glucose levels were assessed at each indicated days (n=10).
(C) Adult control and Hnf1α null mice were IP injected with saline or GHS-R antagonist for 5
days. Mice were fasted for 16-hr and blood insulin levels assessed by ELISA (n=10 for each
group). (D) Adult control and Hnf1α null mice were IP injected with saline or GHS-R antagonist
for 5 days. Mice were fasted for 16-hr and IPGTT was performed. Blood glucose levels were
measured at each indicated time (n=5 for each group). Glucose AUC was calculated over the 120
min period (E) and insulin levels (F) and GIP levels (G) measured by ELISAs at 30 and 120 min;
* P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001. Data were analysed with the unpaired t
test except for AUC where ANOVA was performed. Error bars represent SE.
Figure 4. Impact of Hnf1αααα mutant mice treatment with the GHS-R antagonist on liquid and
solid metabolisms. Hnf1α mutant (n=6) and control mice (n=6) metabolism was evaluated at
the beginning (day 0) and the end (day 5) of saline or GHS-R antagonist IP treatment. Solid
metabolism was measured by calculating food ratios (grams of chow per gram weight) (A) and
fecal excretion (grams of feces per gram weight) (B). Liquid metabolism was measured by
calculating water ratios (milliliters of water per gram weight) (C) and urine ratios (milliliters of
urine per gram weight) (D). (E) Urine glucose content was determined in Hnf1α mutant mice at
the beginning (day 0) and the end (day 5) of GHS-R antagonist IP treatment; *P < 0.05, **P <
0.01. Data were analysed with the unpaired t test and error bars represent SE.
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