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Published in final edited form as: Geroscience. 2017 Jan 18;39(1):51–59. doi: 10.1007/s11357-017-9957-y

The role of transplanted visceral fat from the long-lived growth hormone receptor knockout mice on insulin signaling

Mohammed T Bennis 1, Augusto Schneider 2, Berta Victoria 1, Andrew Do 3, Denise S Wiesenborn 1,4,5, Lina Spinel 1, Adam Gesing 6, John J Kopchick 7, Shadab A Siddiqi 1, Michal M Masternak 1,8,*
PMCID: PMC5352587  NIHMSID: NIHMS845057  PMID: 28299640

Abstract

Growth hormone receptor knockout mice (GHRKO) are characterized by high insulin sensitivity and extended lifespan. Interestingly, the secretory activity of visceral fat in GHRKO mice is altered, stimulating whole body insulin sensitivity. In this study, we transplanted normal (N) mice with visceral fat pads from GHRKO or N mice to determine the role of visceral fat on the insulin signaling. We found that the transplant of visceral fat from GHRKO mice to N mice (N-GHRKO) improved whole body insulin sensitivity when comparing with sham-operated mice (N-S) and with mice that received visceral fat from N mice (N-N). This was associated to increased hepatic insulin sensitivity as observed by the increased phosphorylated insulin receptor and increased hepatic expression of Pparα and Pparγ. In conclusion, we demonstrated that visceral fat transplant from GHRKO mice into normal mice enhanced insulin sensitivity and glucose tolerance. These results further confirm the differential physiological role played by visceral adipose tissue from GH receptor deficient mice, indicating that the increase of this fat depot can be associated to beneficial effects on insulin signaling and longevity.

Keywords: GHRKO, GHR, insulin resistance, longevity, type 2 diabetes

Introduction

The growth hormone receptor knockout (GHRKO) mice, also known as Laron dwarf mice, are characterized by very low levels of circulating insulin-like growth factor I (IGF-I), smaller adult body size and extended longevity (List, Sackmann-Sala et al. 2011). These mice also have remarkably increased whole body insulin sensitivity (List, Sackmann-Sala et al. 2011). Among all the metabolic characteristics of long-lived mice, as the GHRKO, Ames dwarf (df/df) and calorie restriction (CR), whole body insulin sensitivity is proposed to be a central player in the extended lifespan phenotype (Bowen and Atwood 2004).

Despite GHRKO mice being smaller and having increased insulin sensitivity, they are also unexpectedly obese (List, Sackmann-Sala et al. 2011, Masternak, Bartke et al. 2012). Moreover, with the absence of GH signaling, the secretory activity of visceral fat in GHRKO mice is modified (Masternak, Bartke et al. 2012). Larger depots of visceral adipose tissue increase the risk of insulin resistance, metabolic syndrome, and type 2 diabetes, mostly because secrete high levels of pro-inflammatory cytokines (Item and Konrad 2012). However, visceral fat from GHRKO mice produces less resistin, leptin, tumor necrosis factor α (TNFα) and interleukin 6 (IL-6) (Masternak, Bartke et al. 2012). Importantly, visceral fat removal from GHRKO mice is associated to a reduction in adiponectin circulating levels (Masternak, Bartke et al. 2012). Increased adiponectin and reduced pro-inflammatory cytokines in serum are associated to increased overall body insulin sensitivity (Salih and Brunet 2008, Atwood and Bowen 2011). Even though GHRKO mice have increased visceral obesity, they are insulin sensitive and have a healthy extended life span, making them a healthy obese mice model (List, Sackmann-Sala et al. 2011, Masternak, Bartke et al. 2012).

Visceral fat removal from normal mice improved insulin sensitivity and increased lifespan, yet visceral fat removal from GHRKO mice had the opposite effect on insulin signaling (Masternak, Bartke et al. 2012). Despite that, visceral fat removal in GH deficient Ames dwarf (df/df) mice did not improve insulin sensitivity as it was observed in N mice (Menon, Zhi et al. 2014). Therefore, this indicates that the role of visceral fat in the GHRKO mice diverges from its role in normal mice in the regulation of insulin signaling (Masternak, Bartke et al. 2012). In humans the expression of the GHR in the visceral adipose tissue is reduced in obese individuals, and is lower in subcutaneous than in visceral fat in lean individuals (Erman, Veilleux et al. 2011, Erman, Wabitsch et al. 2011). Therefore, our previous work implementing early life GH therapy or surgical visceral fat removal in N and GHRKO mice strongly suggest that the function of the visceral adipose tissue seems to be modulated by GH action. We believe that presented in this paper study study that incorporated visceral fat transplant between GHRKO and N mice provide novel in vivo approach to investigate the role of GH on insulin signaling in white adipose tissue and possible implication in longevity.

Materials and methods

Animals and visceral fat transplant

In the present study 6 months old male GHRKO and normal (N) mice were used, divided in three groups: Normal-sham mice submitted to surgery but not receiving visceral fat (N-S; n=10), N mice transplanted with visceral fat from N mice (N-N; n=10), and N mice receiving visceral fat from GHRKO mice (N-GHRKO; n=10). All the procedures in this study were approved by the Institutional Animal Care and Use Committee from University of Central Florida.

For the visceral fat transplant, visceral fat donors N and GHRKO mice were anesthetized with isoflurane and euthanized. Visceral fat was collected and placed in chilled sterile saline solution. At the same time the recipient mice (n=30 N mice, as described above) were anesthetized. The mice received ibuprofen (1mg/mL) in the water beginning two days prior to surgery and three days after. The visceral fat collected from donor mice was minced with a scalpel and then the abdomen of the recipient mice was open by an incision in the midline central flank and the fat placed into the visceral cavity. In the sham group (N-S), the abdominal cavity was surgically opened and the visceral fat located, but no transplant was performed. The transplanted fat corresponded to 3% of the body weight of the recipient.

Glucose and Insulin Tolerance Test

Eight days after surgery the mice were subjected to a glucose tolerance test (GTT). Animals were fasted overnight (approximately 12–16 hours) and using standard glucometers, a drop of blood was collected and the basal glucose level was checked. After the initial reading, the mice were injected with 2 g of glucose/kg of body weight, and blood glucose concentrations were measured again at 15, 30, 60, 90, and 120 min after the first reading.

The insulin tolerance test (ITT) was performed two days after the GTT. For the ITT mice, food was removed one hour before the test. A drop of blood was collected and glucose concentration was measured using a glucometer. After the initial measurement, the mice were injected with 1 IU of insulin/kg of body weight. After that, the blood glucose concentrations were measured again at 15, 30, and 60 min after insulin injection.

Insulin stimulation and tissue collection

Twelve days after surgery (four days after the GTT) mice were fasted overnight (approximately 12–16 hours) and euthanized. Mice were bled by cardiac puncture and whole blood was centrifuged in order to isolate the plasma supernatant. Liver tissue was also collected and snap-frozen in liquid nitrogen. Two minutes before euthanasia, half of the mice were injected with a dose of insulin (10 IU/kg body weight; n=5/group), while the other half were injected with saline as controls (n=5/group) (Masternak, Bartke et al. 2012).

RNA extraction and gene expression

About 75 mg of the liver tissue sample was homogenized with 0.5mm zirconium oxide beads and 700µL of Qiazol (Qiagen, Valencia, CA, USA). Total RNA was isolated using the Qiagen RNeasy Mini Kit (Qiagen) columns following manufacturer’s instructions. RNA concentration was measured by spectrophotometer and 1 µg of total RNA was converted into cDNA using the iScript reverse transcription kit (Bio-Rad Laboratories, Hercules, CA, USA). The cDNA samples were diluted at 10 ng/uL and stored at −20°C.

Real-time PCR using SYBR Green dye was used to evaluate hepatic gene expression. The primers used in this study are listed in Table 1. PCR reactions were performed in duplicate, by adding 5 µL of SYBR Green Master Mix (Applied Biosystems, Foster City, CA, USA), 0.4 µL of forward and reverse primers (10 µM solution) and 2µL of each cDNA sample, in a total volume of 20µL. Fluorescence was quantified using the Applied Biosystems 7900 HT Fast RT-PCR system (Applied Biosystems). For each assay, 45 PCR cycles were run (95 °C for 3 s and 62 °C for 30 s), and a dissociation curve was included at the end of the reaction to verify the amplification of a single PCR product. Each assay included a negative control using RNase free water.

Table 1.

Primer sequences used for gene expression analysis.

Genes Primer sequences (forward and reverse)
B2m F: 5′-AAGTATACTCACGCCACCCA-3′
R: 5′-CAG CGCTATGTATCAGTCTC-3′
Ir F: 5′-GTTCTTTCCTGCGTGCATTTCCCA-3’
R: 5′-ATCAGGGTGGCCAGTGTGTCTTTA-3’
Irs1 F: 5′- AGCCCAAAAGCCCAGGAGAATA-3′
R: 5′-TTCCGAGCCAGTCTCTTCTCTA-3′
Pi3k F: 5′-TAGCTGCATTGGAGCTCCTT-3′
R: 5′-TACGAACTGTGGGAGCAGAT-3′
Akt2 F: 5-GAGGACCTTCCATGTAGACT-3′
R: 5′-CTCAGATGTGGAAGAGTGAC-3′
Pparα F: 5′-GTCAGTACTGTCGGTTTCAG-3′
R: 5′-CAGATCAGCAGACTCTGGGT-3′
Pparγ F: 5’-GGGAAAGACCAGCAACC-3’
R: 5’-TGGAAGAATCGGACCTCTGC-3’
Pgc1α F: 5′-TACGCAGGTCGAACGAAACT-3′
R: 5′-TGCTCTTGGTGGAAGCA-3′
Igf1 F: 5′-CTGAGCTGGTGGATGCTCTT-3′
R: 5′-CACTCATCCACACCTGT-3′
Stat3 F: 5’-AGAAAGTGTCCTACAAGGGCGAC-3’
R: 5’-CACGAAGGCACTCTTCATTAAGTTT-3’
Stat1 F: 5’-CGACCAGTACAGCCGCTTTT-3’
R: 5’-CGGGGATCTTCTTGGAAGTTATCCT-3’
Gs3kb F: 5’-TATTTCCTGGGGACAGTGGT-3’
R: 5’-ATTTGCTCCCTTGTTGGTGT-3’
Foxo1 F: 5'-TATTGAGCGCTTGGACTGTG-3'
R: 5'-TGGACTGCTCCTCAGTTCCT-3'
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Data was normalized using Beta 2 Microglobulin (B2m) as a housekeeping gene. To calculate the relative expression, the equation 2A-B/2C-D was used, where A is the threshold cycle number of the first control sample of the gene of interest, B is the threshold cycle number in each gene of interest sample, C is the threshold cycle value of the first B2M in the control sample, and D is the threshold cycle number of B2M in each sample. The formula resulted in a relative expression of 1 for the first control sample, and then all the other samples were calculated in relation to the first sample. After that, the average of the N-S group was calculated and used as a denominator for the other groups average to calculate the fold change in gene of expression compared to the control group (Masternak, Al-Regaiey et al. 2005).

Liver IR and GSK3b protein levels

Total protein was extracted from about 100 mg of liver tissue using the Tissue Protein Extraction Reagent kit (Thermo Scientific, Rockford, IL, USA), using protease and phosphatase inhibitors. Samples were homogenized in the extraction buffer with 0.5mm zirconium oxide beads. After centrifugation at 15,000 rcf for 15 min at 4°C, the aqueous layer was transferred into a new tube and centrifuged again. The fat-free protein extract was first diluted 1:10 and then stored at −80°C. Total protein concentration was measured using the Pierce BCA Protein Assay (Thermo Scientific). After that, the level of total IR and its phosphorylated form (pY1158 IR) and GSK3b were analyzed using commercially available ELISA kit (Invitrogen, Carlsbad, CA, USA) following manufacturer’s protocol.

Serum insulin and leptin concentrations

The collected plasma was used for insulin, leptin and adiponectin concentration analysis using mouse insulin (Linco Research Inc., St. Charles, MO, USA), leptin (IDS Inc., Fountain Hills, AZ, USA) and adiponectin (Invitrogen, Grand Island, NY, USA) ELISA kits following manufacturer’s protocols.

The overall insulin sensitivity was estimated using the Homeostatic Model of Assessment (HOMA), representing relation between insulin and glucose concentrations, calculated by the formula (insulin×glucose)/22.5 (Matthews, Hosker et al. 1985).

Statistical analysis

Statistical analysis was performed using GraphPad Prism 5 software (GraphPad Software Inc., La Jolla, CA, USA). Gene expression and protein levels were compared between groups by one-way ANOVA and when significant, a two-tailed unpaired t test was performed to identify between groups comparison. For GTT and ITT two-way ANOVA for repeated measures was used and the P-values for time, treatment and its interaction are presented. A P-value lower than 0.05 was considered statistically significant.

Results

Effect of visceral fat transplant (VFT) on insulin sensitivity and glucose tolerance

Thehe ITT study indicated that N-GHRKO mice have higher insulin sensitivity than N-N and N-S mice (P<0.05; Figure 1A). There was no difference in insulin sensitivity between N-N and N-S mice (P>0.05; Figure 1A). Similarly, the GTT results indicated that transplanting GHRKO visceral fat into N mice improved glucose clearance in comparison to N-N and N-S mice (P<0.05, Figure 1). There was no difference in glucose clearance between N-N and N-S mice (P>0.05, Fig.1).

Figure 1.

Figure 1

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Glucose tolerance test (GTT) and insulin tolerance test (ITT) measured by blood glucose concentrations in Normal (N) mice subjected to sham surgery (N-S), or receiving visceral fat transplant from N (N-N) or GHRKO mice (N-GHRKO). a,b different letter indicate significant difference at P<0.05 at each timepoint between groups

Normal mice transplanted with GHRKO visceral fat had a lower HOMA score, indicating improved whole body insulin sensitivity compared to N-N and N-S groups (P<0.05, Figure 2). HOMA score was not different between N-N and N-S mice (P>0.05, Figure 2). Moreover, plasma insulin concentration was lower in N-GHRKO mice compared to N-N groups (P<0.05, Figure 2), yet there was no statistical difference between N-GHRKO and N-S mice (P>0.05, Figure 2). Plasma leptin and adiponectin concentrations were not different among groups (P>0.05, Figure 2).

Figure 2.

Figure 2

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Insulin sensitivity measured by HOMA analysis and plasma insulin and leptin concentrations of Normal (N) mice subjected to sham surgery (N-S), or receiving visceral fat transplant from N (N-N) or GHRKO mice (N-GHRKO). Different letters indicates statistical difference at P<0.05.

Effect of visceral fat transplant (VFT) on liver insulin signaling and gene expression

Total IR protein levels were not different among groups (P>0.05, Figure 3). The level of GSK3b in the liver was decreased in N-N mice compared to N-S (P<0.05), but not different between N-N and N-GHRKO mice (P>0.05, Figure 3). The level of liver phosphorylated IR was not different among groups not stimulated with insulin before euthanasia (P>0.05, Figure 4). However, the level of phosphorylated IR was increased in N-GHRKO mice compared to N-N mice (P<0.05), although not different from N-S mice in mice insulin stimulated (P<0.05, Figure 4).

Figure 3.

Figure 3

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Protein expression of IR and GSK3b in the liver of Normal (N) mice subjected to sham surgery (N-S), or receiving visceral fat transplant from N (N-N) or GHRKO mice (N-GHRKO). Different letters indicates statistical difference at P<0.05.

Figure 4.

Figure 4

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Protein expression of phosphorylated IR in the liver with and without insulin stimulus before euthanasia of Normal (N) mice subjected to sham surgery (N-S), or receiving visceral fat transplant from N (N-N) or GHRKO mice (N-GHRKO). Different letters indicates statistical difference at P<0.05.

Analysis of the hepatic mRNA expression of different genes related to insulin signaling-pathway revealed the mRNA expression of Pparα and Pparγ was increased in N-GHRKO compared to N-N and N-S mice (P<0.05; Figure 5). Gene expression of Igf1 and Akt2 mRNA was decreased in N-N when compared to N-S mice (P<0.05), but no change was observed between N-GHRKO mice and N-N mice (P>0.05, Figure 5). Foxo1 and Irs1 gene expression was decreased in N-GHRKO and N-N mice in comparison to N-S mice (P<0.05, Figure 5). Expression of Stat1 was higher in N-GHRKO mice than N-S mice (P>0.05), but no different from N-N mice (P>0.05, Figure 5). In addition, gene expression for Ir, Glut2, Gsk3b, Pgc1α and Stat3 was not different among groups (P>0.05; Figure 5).

Figure 5.

Figure 5

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Relative gene expression in the liver of Normal (N) mice subjected to sham surgery (N-S), or receiving visceral fat transplant from N (N-N) or GHRKO mice (N-GHRKO). Different letters indicates statistical difference at P<0.05.

Discussion

The present study provides novel evidence that transplant of visceral fat from GHRKO mice into N mice improved whole body insulin sensitivity, indicated by the ITT and GTT, and decreased plasma insulin concentrations. GHRKO mice are characterized by increased insulin sensitivity and extended life span (Coschigano, Holland et al. 2003). A previous study indicated that removal of visceral fat from GHRKO mice paradoxically decreased insulin sensitivity, while improved insulin sensitivity in N mice (Masternak, Bartke et al. 2012). This suggests a different endocrine role for the visceral fat in GH receptor deficient mice. Surgical removal of visceral fat is known to improve insulin sensitivity in rats and mice (Barzilai, She et al. 1999, Gabriely, Ma et al. 2002, Masternak, Bartke et al. 2012, Menon, Zhi et al. 2014). The visceral adipose tissue is considered the “bad fat” and its larger depots are associated to increased levels of pro-inflammatory cytokines, which in turn lead to reduce whole body insulin sensitivity (Item and Konrad 2012). However, the visceral fat of GHRKO mice has reduced infiltration of inflammatory cells and therefore is associated to a less intense inflammatory potential (Masternak, Bartke et al. 2012, Berryman, Glad et al. 2013), which can contribute to the increased insulin sensitivity in GHRKO mice, despite having increased fat mass (List, Sackmann-Sala et al. 2011). Importantly, microarray study of epididymal, subcutaneous and perirenal adipose tissue showed partial overlapping of genes expression between different WAT pads in GHRKO mice, while there was more distinct distribution of genes expression profile between WAT pads in N mice (Stout, Swindell et al. 2015). This finding suggest that visceral fat from GHRKO mice might act more like metabolically beneficial subcutaneous fat, which could explain observed benefits on insulin sensitivity after GHRKO epididymal fat transplant in to N recipient mice. Visceral fat removal in GH-deficient df/df mice reduced insulin sensitivity (Menon, Zhi et al. 2014), although the effect was not as clear as observed for GHRKO mice (Masternak, Bartke et al. 2012). Therefore, these results suggest that visceral fat from GHRKO mice may play a different endocrine role. This positive effect can also be observed when the fat tissue transferred to N mice, indicating an active secretory role for this tissue on the maintenance of glucose homeostasis.

The transplant of visceral fat from GHRKO to N mice was also associated to increased stimulated phosphorylated insulin receptor, indicating an overall improved hepatic insulin sensitivity. Visceral fat removal was previously associated to improved hepatic insulin sensitivity in rats (Barzilai, She et al. 1999, Gabriely, Ma et al. 2002). Therefore, our observations of improved hepatic insulin sensitivity further evidence the opposite role played by visceral fat in GHRKO mice. It was previously demonstrated that visceral fat removal in GHRKO mice decreases serum adiponectin levels, while it increased serum leptin levels (Masternak, Bartke et al. 2012), indicating an anti-inflammatory role for the visceral adipose tissue of GHRKO mice. Despite that we did not found any changes in serum leptin levels in the current study. Furthermore, visceral fat removal in N mice leads to reduced secretion of pro-inflammatory cytokines (Shin, Jeong et al. 2015), which can contribute to the improved whole body insulin sensitivity. Therefore, the observed improvements of insulin sensitivity, and specifically the liver insulin sensitivity, in mice receiving fat from GHRKO mice maybe related to the anti-inflammatory properties of this fat depot. GSK3B is negatively regulated by insulin and its inhibition is associated to increased insulin sensitivity (Nikoulina, Ciaraldi et al. 2000). We observed that N-GHRKO mice had increased pGSK3b in comparison to N-N mice, although it was not different from N-S mice.

The visceral fat transplant from GHRKO to N mice led to the regulation of several hepatic genes involved in the insulin signaling. The two most important differences between N-N and N-GHRKO mice were the increased expression of PPARα and PPARγ. PPARα up-regulates genes involved in lipid oxidation (Leone, Weinheimer et al. 1999) and PPARγ regulates adipogenesis and liver insulin sensitivity (He, Barak et al. 2003). PPARγ activation through thiazolidinediones results in increased whole body insulin sensitivity (Leonardini, Laviola et al. 2009). Increased PPARα and PPARγ liver expression is associated to increase insulin sensitivity in both calorie restriction and GHRKO mice (Masternak and Bartke 2007). Therefore, hepatic PPARα and PPARγ expression can be a link between visceral fat and increased insulin sensitivity. Other genes were not significantly changed between N-N and N-GHRKO mice. Visceral fat removal in N mice was associated to increased expression of IR, IRS2, Pi3K, Akt2, Glut4, PPARγ and PGC1α in the muscle tissue, although no difference in the expression of these genes was observed in subcutaneous fat tissue (Menon, Zhi et al. 2014). This indicates that the mechanism of action may be different in the various insulin target tissues, and at least in the liver it seems to be coordinate by the PPARα and PPARγ.

In conclusion, we demonstrated that visceral fat transplant from GHRKO mice into normal mice enhanced insulin sensitivity and glucose tolerance in this last mentioned kind of animals. This was associated to increased liver insulin sensitivity, suggesting the hepatic insulin resistance as an important target of visceral fat. These results further confirm the differential physiological role played by visceral adipose tissue from GH receptor deficient mice, indicating that the increase of this fat depot can be associated to beneficial effects on insulin signaling and longevity.

Acknowledgments

This work was supported by the National Institute on Aging (NIA) and NIDDK (grant numbers AG031736, AG032290, AG19899, DK081413) and Polish National Science Centre (DEC-2012/04/M/NZ4/00198; grant number 507/1-107-05/507-10-050 of the Medical University of Lodz, Poland to A.G.).

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