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. 2016 Feb 22;157(4):1481–1494. doi: 10.1210/en.2015-1867

Increased Gs Signaling in Osteoblasts Reduces Bone Marrow and Whole-Body Adiposity in Male Mice

Corey J Cain 1, Joel T Valencia 1, Samantha Ho 1, Kate Jordan 1, Aaron Mattingly 1, Blanca M Morales 1, Edward C Hsiao 1,
PMCID: PMC4816728  PMID: 26901092

Abstract

Bone is increasingly recognized as an endocrine organ that can regulate systemic hormones and metabolism through secreted factors. Although bone loss and increased adiposity appear to be linked clinically, whether conditions of increased bone formation can also change systemic metabolism remains unclear. In this study, we examined how increased osteogenesis affects metabolism by using an engineered G protein-coupled receptor, Rs1, to activate Gs signaling in osteoblastic cells in ColI(2.3)+/Rs1+ transgenic mice. We previously showed that these mice have dramatically increased bone formation resembling fibrous dysplasia of the bone. We found that total body fat was significantly reduced starting at 3 weeks of age. Furthermore, ColI(2.3)+/Rs1+ mice showed reduced O2 consumption and respiratory quotient measures without effects on food intake and energy expenditure. The mice had significantly decreased serum triacylglycerides, leptin, and adiponectin. Resting glucose and insulin levels were unchanged; however, glucose and insulin tolerance tests revealed increased sensitivity to insulin. The mice showed resistance to fat accumulation from a high-fat diet. Furthermore, ColI(2.3)+/Rs1+ mouse bones had dramatically reduced mature adipocyte differentiation, increased Wingless/Int-1 (Wnt) signaling, and higher osteoblastic glucose utilization than controls. These findings suggest that osteoblasts can influence both local and peripheral adiposity in conditions of increased bone formation and suggest a role for osteoblasts in the regulation of whole-body adiposity and metabolic homeostasis.


Increased bone marrow adiposity and bone fragility are 2 characteristics shared by aging, obesity, and diabetes (1, 2). This correlation suggests a role for adipocytes in osteoblast regulation and diseases of bone loss such as osteoporosis (3). Several previous studies focused on the link between increased adiposity and bone loss (2, 4, 5). However, our understanding of how the converse scenario of increased osteogenesis on adiposity and systemic energy consumption remains limited.

Glucose is thought to be the main source of energy for osteoblasts during mineralization and development (6, 7). Furthermore, osteoblasts are the primary source of osteocalcin (810), an important bone molecule that can exist in 2 forms: a carboxylated form that is a bone matrix protein produced by osteoblasts and a decarboxylated form that acts as a systemic hormone to regulate metabolic homeostasis by regulating insulin sensitivity (11, 12). Although murine studies clearly demonstrate a role of decarboxylated osteocalcin in glucose regulation, clinical research studies in humans have only identified a correlative link between elevated serum osteocalcin levels and increased insulin sensitivity (1216).

G protein-coupled receptor (GPCR) signaling is important for glucose homeostasis and vital for the development of both osteoblasts and adipocytes (1719). GPCRs recognize extracellular signals and activate trimeric G proteins. Parathyroid hormone and Frizzled receptors, as well as the tyrosine kinase receptor for insulin, are important anabolic signals for bone and can increase glucose utilization (2022). β-Adrenergic or adenosine receptors can increase or decrease adipogenesis, respectively (17). Studying the function of individual GPCRs can be challenging because many GPCRs can activate different Gα subunits such as Gs and Gi, which increase or decrease cAMP production, respectively (20). Additionally, individual GPCRs can have both activating and inhibitory effects depending on cell type, and there may be potential redundancy between different GPCRs expressed in the same cell (20). Furthermore, loss of Gs-GPCR signaling in osteoblastic cells can cause increased adipogenesis in the bone, indicating an important role for osteoblastic Gs-GPCR signaling in regulating cell fate decisions (23).

Previously, we developed an engineered Gsα-coupled serotonin receptor, Rs1, based on a mutation that causes loss of reactivity to the endogenous ligand (serotonin) but retains constitutive basal activity and response to synthetic agonists (24). Mice expressing Rs1 under the control of the osteoblastic cell-specific Collagen 1a1 2.3-kb promoter fragment in a double-transgenic expression system (ColI(2.3)+/Rs1+ mice) had massive increases in overall bone mass (2426). Here, we use these ColI(2.3)+/Rs1+ mice to examine how osteoblastic Gs-GPCR-coupled signaling affects glucose metabolism, peripheral adiposity, and bone marrow adiposity.

Materials and Methods

Animal studies

All mouse studies were approved by the Institutional Animal Care and Use Committee and the Laboratory Animal Research Center at the University of California, San Francisco. The ColI(2.3)-tTA/TetO-Rs1 double transgenic mice (abbreviated ColI2.3+/Rs1+ mice, and maintained on the FVB/N background) were generated as before by crossing ColI(2.3)-tTA mice (MMRRC 029992) with TetO-Rs1 mice (MMRRC 030758) and maintained on regular chow to allow continuous expression of the Rs1 transgene (24). Only male mice were used in this study to minimize sex-dependent differences in metabolism.

Bone densitometry and imaging

Dual energy x-ray absorptiometry on a GE Lunar Piximus2 was used to measure mouse whole-body areal bone mineral density (BMD) and bone mineral content (BMC). Mice were anesthetized with inhaled isofluorane (1.5%–2% in oxygen) and scanned at the times indicated.

Analysis of whole-body fat

Whole-body fat and lean mass were measured using an EchoMRI-100 (Echo Medical Systems) on live mice or on individual tissues freshly dissected from euthanized mice. Whole-body fat and lean mass were normalized to body weight to calculate the percent body fat and lean mass.

Metabolism assessments

An Oxymax/Comprehensive Lab Animal Monitoring System (CLAMS) (Columbus Instruments) was used to measure O2 consumption, CO2 production, respiratory quotient (RQ), energy expenditure, ambulatory activity, water, and food consumption. O2 consumption, CO2 production, RQ, and energy expenditure were all normalized to lean mass. Mice were individually housed and provided with regular food and water for 5 days. For high-fat diet (HFD) analysis, we used the energy balance equation: total energy expenditure = average food intake + change in somatic energy (27, 28). Change in somatic energy was determined between 3 and 8 weeks of age by the following formula: change in somatic energy storage = (pF)(F) + (pFFM)(FFM), where pF = 9.4 kcal/g is the energy density for fat mass, pFFM = 1.8 kcal/g is the energy density for fat-free mass, F = the change in fat mass from 3 to 8 weeks, and FFM = the change in fat-free mass between 3 and 8 weeks of age (28).

Paired feeding

After weaning, control and ColI2.3+/Rs1+ mice were subjected to paired feeding for 7 weeks, in which mice received measured amounts of food with free access to water and enrichment (29). Diets of control mice and ColI2.3+/Rs1+ mice were measured daily. Control mice were then fed the same amount of food as ColI2.3+/Rs1+ mice consumed on the previous day until the end of the study.

High-fat diet

Control and ColI2.3+/Rs1+ mice were given either a 22% fat diet (regular chow; PicoLab 5058M) or a 60% fat diet (high-fat chow; Research Diets D12492) starting at 3 weeks of age and maintained until 8.5 weeks of age. Food consumption was measured twice each week.

Histology

Inguinal and gonadal adipose tissues

Adipose tissues from 8-week-old control and ColI2.3+/Rs1+ mice were placed in neutral buffered formalin for at least 24 hours and then replaced with 70% ethanol for at least 24 hours before paraffin embedding, sectioning, and staining with hematoxylin and eosin (H&E), using standard protocols (Gladstone Institutes Histology Core). For adipocyte and lipid storage quantification, 6 photos per mouse from each tissue were counted. Lipid area was quantified using ImageJ (30) to calculate the white area per slide, then expressed as a percent of white area per slide divided by the number of adipocytes.

Femur and tibia bones

Femur and tibia bones were collected in neutral buffered formalin before decalcification using 10% EDTA. Bones were paraffin embedded and sectioned at the midline, then stained with H&E.

Bone triacylglyceride (TAG) analysis

Serum, femurs, and tibias were collected and incubated in a 2:1 chloroform (Sigma): methanol (Sigma) solution overnight. After incubation, the organic layer was separated from the aqueous layer and air dried with nitrogen gas. The remaining dried samples were resuspended in Triton X-100 and aliquots were run in triplicate with Infinity Triglycerides Reagent (Thermo). Samples were incubated for 30 minutes and then measured with a microplate reader (BioTek Instruments) at 500 nm and calibrated according to a TAG standard (Pointe Scientific, Inc). Samples were normalized to protein levels in the aqueous layer using a Peirce BCA Protein Assay kit (Thermo).

Blood and serum analysis

Blood glucose measurements were taken immediately after whole blood isolation from overnight-fasted mice using a One Touch glucose meter. Blood was collected from euthanized mice by cardiac puncture. Samples were allowed to clot for 30 minutes and centrifuged for 10 minutes at 2000 revolutions per minute before storage at −80°C. Serum was analyzed by ELISA for insulin (Millipore) or for carboxylated and decarboxylated osteocalcin (Takara/Clonetech Biosciences) according to the manufacturer's instructions and detected on a luminescent plate reader (Biotek Synergy 2) to measure absorbance at 560 nm. Serum analysis of ghrelin, PAI-1 (plasminogen activator inhibitor-1), resistin, leptin, and adiponectin were performed by Eve Technologies.

Glucose and insulin tolerance tests

Eight- and 10-week control and ColI(2.3)+/Rs1+ mice were fasted overnight or for 4–5 hours for glucose and insulin tolerance tests, respectively (31). Mice were then weighed and an initial glucose measurement was taken. Mice were then given an ip injection of either 2-g/kg body weight of glucose or 0.75-U/kg body weight of insulin (HumulinR U-100; Lilly). Blood glucose measurements from the tail vein were then taken at 15, 30, 45, 60, 90, and 120 minutes.

RNA isolation, cDNA synthesis, and quantitative PCR

Whole femur, tibia, inguinal, and gonadal tissues were cleaned of excess tissue, placed in TRIzol (Invitrogen), and homogenized using a Powergen 125 homogenizer (Fisher). Whole femur and tibia were used for quantitative polymerase chain reaction (qPCR) analysis because the ColI2.3+/Rs1+ mouse bone marrow cavity is severely disrupted, making it difficult to consistently separate osteoblasts adherent to a bone surface from hematopoietic bone marrow components from ColI2.3+/Rs1+ bones. RNA was isolated using chloroform extraction for all tissues. cDNA was synthesized with oligo dT primers with the Superscript III (Invitrogen) kit as described (32). qPCR expression analysis was performed using TaqMan primers for qPCRs (Supplemental Table 1) on a Viia7 real-time thermocycler (Applied Biosystems) run in 5-μL sample volumes in triplicate. All expression values were normalized to Gapdh (glyceraldehyde-3-phosphate dehydrogenase) expression.

Western blotting

Antibodies against total β-catenin (D10A8; Cell Signaling) and nonphospho-(active) β-catenin (D13A1; Cell Signaling) were used to probe Western blottings of total protein isolated from frozen femurs in Pierce radioimmunoprecipitation assay lysis and extraction buffer (Thermo). Antibodies against GAPDH (GA1R; Thermo Fisher) were used as a loading control. Antibodies bound to β-catenin and GAPDH were detected with horseradish peroxidase-conjugated secondary antibodies (Rockland and Jackson ImmunoResearch). Images were taken on an ImageQuant 4000 (GE Healthcare). All antibodies used in this study are listed in Table 1.

Table 1.

Antibody Table

Peptide/Protein Target Antigen Sequence (if Known) Name of Antibody Manufacturer, Catalog Number, and/or Name of Individual Providing the Antibody Species Raised in; Monoclonal or Polyclonal Dilution Used
β-CATENIN N/A β-Catenin Cell Signaling, D10A8 XP Rabbit; monoclonal 1:1000
Active β-CATENIN N/A Nonphospho (active) β-Catenin (Ser33/37/Thr41) Cell Signaling, D13A1 Rabbit; monoclonal 1:1000
GAPDH N/A GAPDH loading control antibody Thermo, GA1R Mouse; monoclonal 1:5000
Antirabbit IgG N/A Donkey antirabbit IgG-HRP conjugated Rockland, NA9340V Donkey; polyclonal 1:5000
Antimouse IgG N/A Peroxidase AffiniPure donkey antimouse IgG (H + L) Jackson ImmunoResearch 715-035-151 Donkey; polyclonal 1:5000

Seahorse metabolic assessment

Bone chips from crushed femurs, tibias, and hip bones were washed twice to remove hematopoietic cells and digested in collagenase as described (33). Released bone cells were seeded directly into an XFe24 well plate and grown for 7 days in culture. Cells were then subjected to a mitochondrial stress test using oligomycin, trifluorocarbonylcyanide phenylhydrazone, rotenone, and antimycin A (Seahorse Biosciences). Glycolysis stress tests were also conducted using oligomycin and 2-deoxy-D-glucose (Seahorse Biosciences). After each analysis, total protein content was quantified (Peirce BCA kit), and normalized to O2 consumption rate or extracellular acidification rate, respectively.

Statistical analysis

All data are represented as mean ± 1 SD. Data were assumed to adhere to a normal distribution as this was evident in our BMD and BMC data sets using the Kolmogorov-Smirnov test. Differences between the means of biological replicates for all samples were calculated using an unpaired 2-tailed t test (GraphPad Prism and Microsoft Excel). Analyses were considered statistically significant if P ≤ .05.

Results

ColI(2.3)+/Rs1+ mice have decreased total body fat

Osteoblast Gs-GPCR signaling in ColI(2.3)+/Rs1+ mice showed a significant reduction in total body weight but a 2-fold increase in BMD compared with control littermates, as previously reported (Figure 1, A and B) (24, 26). EchoMRI confirmed a significant decrease in whole-body fat starting at 3 weeks of age with a corresponding increase in lean mass by 8 weeks of age (Figure 1, C and D). Dissection of ColI(2.3)+/Rs1+ mice showed significant reductions in inguinal and gonadal white adipose tissues, but not subscapular brown adipose tissues (Figure 1, E–I). These findings indicated that ColI(2.3)+/Rs1+ mice showed changes in whole-body adiposity.

Figure 1.

Figure 1.

Osteoblastic Gs signaling reduces adipose tissue in ColI(2.3)+/Rs1+ mice. Body weight (A) and BMD (B) of 8- to 9-week-old control and ColI(2.3)+/Rs1+ male mice. Data are from n = 9 control and n = 6 (n = 5 for BMD) ColI(2.3)+/Rs1+ mice. Percent whole-body fat (C) and lean mass (D) of 3- and 8-week-old control and ColI(2.3)+/Rs1+ male mice. Data are from n = 7 control and n = 4 ColI(2.3)+/Rs1+ male mice at 3 weeks of age, and n = 9 control and n = 6 ColI(2.3)+/Rs1+ male mice at 8 weeks of age. Representative dorsal (E) and ventral (F) photos of control and ColI(2.3)+/Rs1+ male mice showing reductions of visceral adipose tissues with no significant effect on subscapular brown adipose tissue. Yellow outlines denote brown and gonadal adipose tissues. Scale bar, 5 mm. Tissue weights of (G) subscapular brown, (H) inguinal, and (I) gonadal fat pads from 8- to 9-week-old male mice. Data are from n = 5 control and n = 6 ColI(2.3)+/Rs1+ male mice for brown and gonadal adipose tissue, and n = 4 control and n = 5 ColI(2.3)+/Rs1+ male mice for inguinal adipose tissue. Statistical differences were determined by Student's t test; *, P < .05; **, P < .01; ***, P < .001; N.S., not significant.

ColI(2.3)+/Rs1+ mice showed increased fat utilization by metabolic cage analysis

We next analyzed the whole-body metabolic requirements of these mice using CLAMS metabolic cages under thermoneutral conditions. Volume of oxygen (VO2), volume of carbon dioxide (VCO2), RQ, and energy consumption were normalized to lean mass to account for the slight decrease in body weight of ColI(2.3)+/Rs1+ mice compared with control mice. ColI(2.3)+/Rs1+ mice had marked reductions in O2 consumption with only small transient differences in CO2 production (Figure 2, A and B). Interestingly, ColI(2.3)+/Rs1+ RQs were significantly lower (Figure 2C), suggesting increased fat utilization (34). Total energy expenditure was not significantly altered in ColI(2.3)+/Rs1+ mice (Figure 2D). We found no significant differences in food and water intake, total ambulatory activity, or energy expenditure (Figure 2, E–H).

Figure 2.

Figure 2.

ColI(2.3)+/Rs1+ mice have increased fat utilization. Volume of oxygen (VO2) (A), volume of carbon dioxide (VCO2) (B), respiratory quotient (RQ) (C), and energy expenditure (D) of 8-week-old male control and an ColI(2.3)+/Rs1+ mice mouse subjected to a CLAMS on day 3, after 2 days of acclimation to the chamber. Total food intake (E), total water consumption (F), total ambulatory activity (G), and total energy expenditure (H) of 8-week-old control and ColI(2.3)+/Rs1+ mice after 5 days in the CLAMS. Data are from n = 3 control and n = 5 ColI(2.3)+/Rs1+ male mice. Statistical differences were determined by Student's t test; *, P < .05; N.S., not significant.

ColI(2.3)+/Rs1+ mice have increased insulin sensitivity

Osteoblastic cells can regulate insulin sensitivity through secretion of decarboxylated osteocalcin (1012, 35). Given the indications of increased fat utilization in ColI(2.3)+/Rs1+ mice during metabolic cage analysis, we examined glucose and insulin homeostasis in ColI(2.3)+/Rs1+ mice that were free fed a regular chow diet. Fasting blood glucose and insulin levels showed no major differences in the ColI(2.3)+/Rs1+ mice (Figure 3, A and B), despite known high expression of osteocalcin which has been reported to decrease fasting glucose levels in mice (35, 36). Insulin sensitivity was not affected using the homeostatic model assessment of insulin resistance calculation (Figure 3C). However, serum TAG levels were significantly reduced in ColI(2.3)+/Rs1+ mice, which is in line with the reduction in white adipose tissues and increased fat utilization by metabolic cage analysis seen previously (Figures 1, 2, and 3D).

Figure 3.

Figure 3.

ColI(2.3)+/Rs1+ mice have increased insulin sensitivity. Fasting serum glucose (A) and insulin (B) of 8- to 9-week-old control and ColI(2.3)+/Rs1+ male mice. C, Homeostatic model assessment of insulin resistance (HOMA-IR) of 8- to 9-week-old male control and ColI(2.3)+/Rs1+ mice. Data are from n = 6–11 control and n = 4–8 ColI(2.3)+/Rs1+mice. D, Ratio of serum TAGs to serum protein of 8- to 9-week-old control and ColI(2.3)+/Rs1+ male mice. Data are from n = 4 control and n = 3 ColI(2.3)+/Rs1+ mice. Glucose (E) and insulin (F) tolerance test of mice injected with 2 g/kg of glucose (at 8 wk of age) or 0.75-U/kg body weight of insulin (at 10 wk of age), respectively. Data are from n = 6 control and n = 4 ColI(2.3)+/Rs1+ male mice. Control and ColI(2.3)+/Rs1+ mice in A–F are all free fed with regular chow. Whole-body fat (G) and lean body mass (H) of male 8- to 10-week-old control and ColI(2.3)+/Rs1+ mice subjected to paired feeding with regular chow starting at 3 weeks of age. Tissue weights of (I) subscapular brown, (J) inguinal, and (K) gonadal fat pads from 8- to 10-week-old male mice subjected to paired feeding starting at 3 weeks of age. Glucose (L) and insulin (M) tolerance tests of pair fed male mice. Data are from n = 3–4 control and n = 4–6 ColI(2.3)+/Rs1+ mice. Statistical differences were determined by Student's t test; *, P < .05; **, P < .01; ***, P < .001; N.S., not significant.

We next tested for alterations to glucose homeostasis using dynamic glucose and insulin tolerance tests. Glucose levels in ColI(2.3)+/Rs1+ mice peaked similarly to control littermates but returned to normal levels more quickly than control littermates (Figure 3E). Insulin tolerance tests revealed higher insulin sensitivity in ColI(2.3)+/Rs1+ mice than control littermates (Figure 3F).

Although our metabolic cage analysis suggested no significant differences in food intake, we pair fed ColI(2.3)+/Rs1+ and control mice for 7 weeks starting at 3 weeks of age. We confirmed that the reductions in inguinal and gonadal adipose tissues were still present and independent of food intake (Figure 3, G–K). Furthermore, ColI(2.3)+/Rs1+ mice that were pair fed a regular chow diet showed an increase in insulin sensitivity similar to that seen in ColI(2.3)+/Rs1+ mice free fed a regular chow diet (Figure 3, L and M). These results indicated that fasting glucose and insulin levels are unaffected in ColI(2.3)+/Rs1+ mice. Furthermore, dynamic testing revealed increased insulin sensitivity in ColI(2.3)+/Rs1+ mice and that the metabolic changes do not arise from alteration to food intake.

ColI(2.3)+/Rs1+ mice are resistant to fat accumulation and bone density loss when fed a HFD

We next tested whether ColI(2.3)+/Rs1+ mice might be resistant to the fat accumulation caused by a HFD. We fed ColI(2.3)+/Rs1+ mice a HFD starting at 3 weeks of age (Figure 4, A and B). The ColI(2.3)+/Rs1+ mice showed slight reductions in food intake over the 5 weeks, but when normalized to body size, food intake showed no significant differences (Figure 4C). ColI(2.3)+/Rs1+ mice on a HFD showed no alterations in body weight as compared with controls; however, whole-body fat was significantly reduced with corresponding increases in lean mass, BMD, and BMC (Figure 4, D and E). Interestingly, control mice fed a HFD had significant reductions in BMD and BMC that were not seen in ColI(2.3)+/Rs1+ mice, suggesting that the ColI(2.3)+/Rs1+ bone growth was not affected by higher caloric intake (Figure 4E). Although ColI(2.3)+/Rs1+ mice free fed a regular diet showed no differences in body composition, control mice on a HFD showed increased whole-body fat with decreased lean mass. Fasting serum glucose was higher in ColI(2.3)+/Rs1+ mice on a HFD but not in control mice on a HFD (Figure 4F).

Figure 4.

Figure 4.

ColI(2.3)+/Rs1+ mice on a HFD are resistant to increases in adiposity. A, Male control and ColI(2.3)+/Rs1+ mice were fed a HFD starting at 3 weeks of age and followed for 5.5 weeks. B, Representative ventral photos of adipose tissues from 1 control and 2 ColI(2.3)+/Rs1+ mice fed a HFD for 5.5 weeks. C, Whole-body weight normalized to food intake. D, Whole-body weight, percent body fat, and percent lean body mass of 8-week-old control and ColI(2.3)+/Rs1+ mice free fed a regular chow diet or a HFD for 5 weeks. E, BMD and BMC male 8-week-old control and ColI(2.3)+/Rs1+ mice free fed a regular chow diet or a HFD for 5 weeks. ColI(2.3)+/Rs1+ mice. F, Serum glucose from 8- to 9-week-old male mice free fed a regular chow diet or a HFD. G, Tissue weights of inguinal, gonadal, and subscapular brown fat pads from 8- to 9-week-old mice free fed a regular chow diet or a HFD. Data are from n = 10–14 control and n = 5–8 ColI(2.3)+/Rs1+ male mice free fed a regular chow diet and n = 9 control and n = 4 ColI(2.3)+/Rs1+ male mice fed a HFD. H, Change in somatic energy content, mean energy intake, and energy expenditure of control and ColI(2.3)+/Rs1+ mice fed a HFD between 3 and 8 weeks of age. Data are from n = 4 control and n = 4 ColI(2.3)+/Rs1+ male mice fed a HFD. Statistical differences were determined by Student's t test; *, P < .05; **, P < .01; ***, P < .001; N.S., not significant.

Examination of ColI(2.3)+/Rs1+ inguinal, gonadal, and subscapular brown adipose tissue mass showed similar reductions in free-fed ColI(2.3)+/Rs1+ mice and HFD mice, without affecting brown adipose tissue (Figure 4G). Whole-body metabolic energy balance measurements (energy balance equation: total energy expenditure = average food intake + change in somatic energy) (27, 28) showed that ColI(2.3)+/Rs1+ mice had significantly reduced somatic energy storage between 3 and 8 weeks of age on a HFD (Figure 4H). We found no significant differences in average energy intake or energy expenditure, consistent with our CLAMS studies (Figure 2). These results indicate that ColI(2.3)+/Rs1+ mice bone growth is unaffected by caloric intake and that ColI(2.3)+/Rs1+ mice are resistant to diet-induced obesity.

White adipose tissues are reduced in size, but differentiation is not altered in ColI(2.3)+/Rs1+ peripheral adipocytes

We next examined the inguinal and visceral gonadal adipose tissues in free-fed and HFD-fed mice. Both ColI(2.3)+/Rs1+ inguinal and gonadal adipocytes were reduced in size with increased numbers of adipocytes per field and decreased lipid content (Figure 5, A–D). Histological analysis of inguinal and gonadal tissues of ColI(2.3)+/Rs1+ mice on a HFD revealed an increase in adipocytes compared with control and ColI(2.3)+/Rs1+ mice that were free fed a regular chow diet; however, adipocytes in the inguinal and gonadal tissues of ColI(2.3)+/Rs1+ mice were still reduced in size (Figure 5, C and D).

Figure 5.

Figure 5.

ColI(2.3)+/Rs1+ mice have smaller adipocytes, reduced levels of serum adipogenic factors, and increased levels of serum osteocalcin. H&E-stained histological sections of (A) free-fed and (B) HFD-fed inguinal and gonadal adipose tissue in male 8-week-old control and ColI(2.3)+/Rs1+ mice. Scale bar, 10 μm. Histological counts of adipocytes from inguinal and gonadal adipose tissues (C) and histological counts normalized to % lipid content (D). Data in C and D are from 12 fields of 2 individual control and 2 individual ColI(2.3)+/Rs1+ male mice on a free fed or HFD. E, Serum resistin, adiponectin, and leptin. F, Serum ghrelin and PAI-1 from male 8- to 9-week-old control and ColI(2.3)+/Rs1+ mice. Data are from male n = 6 control and n = 5 ColI(2.3)+/Rs1+ male mice. G, Serum carboxylated osteocalcin, decarboxylated osteocalcin, and the ratio of decarboxylated to carboxylated osteocalcin from male 8- to 9-week-old control and ColI(2.3)+/Rs1+ mice. Data are from n = 5 control and n = 6 ColI(2.3)+/Rs1+ male mice. Statistical differences were determined by Student's t test; *, P < .05; **, P < .01; ***, P < .001; N.S., not significant.

Gene expression analysis of gonadal fat pads showed no significant differences in Pparγ, Cebpα, Cebpβ, and Cebpδ expression (Supplemental Figure 1A and Ref. 37). Expression of secreted adipogenic factors Adipoq, Pref1, and Lep were also not significantly altered in ColI(2.3)+/Rs1+ mice (Supplemental Figure 1B). Mesenchymal stem cell and adipocyte cell surface receptor RNA expression (Lepr and Pdgfrβ), as well as TAG synthesis genes Dgat1 and Dgat2, lipolysis genes Atgl and Lipe (38, 39), and the fatty acid transporter Fabp4, also were not expressed differently in ColI(2.3)+/Rs1+ mice (Supplemental Figure 1, C–E). These results suggest that osteoblast Gs-GPCR signaling in ColI(2.3)+/Rs1+ mice can alter white adipose tissue size and lipid utilization, but does not alter the expression of genes associated with adipogenesis, lipolysis, or lipid synthesis.

ColI(2.3)+/Rs1+ mice have reduced serum adipokines with increased carboxylated and decarboxylated osteocalcin

We next determined whether serum metabolic factors and adipokines were altered in ColI(2.3)+/Rs1+ mice. Serum levels of resistin were not significantly altered, but both adiponectin and leptin were dramatically reduced (Figure 5E). We also found that ghrelin was significantly reduced in ColI(2.3)+/Rs1+ mice despite the absence of an effect on food consumption (Figure 5F). PAI-1, a marker of metabolic syndrome, was not significantly altered in ColI(2.3)+/Rs1+ mice (Figure 5F). Because decarboxylated osteocalcin can regulate both insulin sensitivity and adipose tissues (10, 35, 37), we measured serum carboxylated and decarboxylated osteocalcin and found that both were significantly increased in ColI(2.3)+/Rs1+ mice (Figure 5G). The ratio of decarboxylated to carboxylated osteocalcin was not significantly altered when compared with control mice (Figure 5G). These results suggest that the increased osteocalcin in ColI(2.3)+/Rs1+ mice may contribute to altered lipid and energy utilization in ColI(2.3)+/Rs1+ mice.

Reduced mature adipocytes in ColI(2.3)+/Rs1+ bones

Bone marrow adipocytes and osteoblasts are both thought to be derived from mesenchymal stem cells (40). Osteoblasts can secrete a variety of factors such as Wingless/Int-1 (Wnt) and osteocalcin proteins that can block adipogenesis (10, 41). We performed H&E staining on tibia and femur bones of 8-week-old ColI(2.3)+/Rs1+ mice along with TAG quantification to determine whether marrow adiposity was reduced in ColI(2.3)+/Rs1+ bones (Figure 6, A–D). Measurement of tibia and femur TAG to protein ratios confirmed a reduction in ColI(2.3)+/Rs1+ bone adiposity (Figure 6, B and D). Three-week-old ColI(2.3)+/Rs1+ mice showed no differences in adipocytes in the tibia (Supplemental Figure 2A). Markers of early adipogenesis (Pparγ and Cebpα) were significantly increased in whole femurs, whereas Cebpβ and Cebpδ where not significantly altered (Figure 6E). We observed similar trends in ColI(2.3)+/Rs1+ tibias, but with a pronounced reduction in Cebpδ (Supplemental Figure 2, B–G). We observed no differences in Adipoq or Fabp4 message levels, but Pref1 was significantly increased, whereas Lep was not significantly decreased (Figure 6F). Furthermore, we saw increased expression of Lepr and Pdgfrβ (Figure 6G). Because bone marrow cells can also adopt properties of brown adipocytes (2, 42), we measured Ucp1 and Prdm16 expression. Ucp1 was not significantly altered, but Prdm16 expression was significantly increased, indicating that bone marrow adipocytes in ColI(2.3)+/Rs1+ bones may contain more brown adipose tissue differentiation as compared with control bones (Figure 6H). We also observed an increase in Bglap and Col1a1 mRNA levels, and increased serum osteocalcin levels (Figure 6I and Supplemental Figure 3A), consistent with our previously reported findings. These data demonstrate that ColI(2.3)+/Rs1 bones also show decreased adiposity and that increased Gs signaling in osteoblasts can affect the cell fate of adipogenic progenitor cells.

Figure 6.

Figure 6.

ColI(2.3)+/Rs1+ whole bones show reduced adiposity with high levels of Wnt related gene expression. H&E-stained decalcified 8-week-old tibia (A) and tibia TAG to protein ratio from control and ColI(2.3)+/Rs1+ male mice (B). H&E-stained decalcified 8-week-old femur (C) and femur TAG to protein ratio from control and ColI(2.3)+/Rs1+ male mice (D). Yellow arrows indicate adipocytes. Scale bar, 10 μm. Serum TAGs are from n = 6 control and n = 4 ColI(2.3)+/Rs1+ male mice. E, qPCR of Pparγ, Cepbα, Cepbβ, and Cepbδ. Data are from n = 3–5 control n = 3–5 and ColI(2.3)+/Rs1+ male mice. F, qPCR of adipogenic gene expression of Adipoq, Pref1, Lep, and Fabp4. Data are from n = 5–6 control and n = 3–5 ColI(2.3)+/Rs1+ male mice. G, qPCR of mature adipogenic gene expression of Lepr and Pdgfrβ. Data are from n = 5–6 control and n = 5 ColI(2.3)+/Rs1+ male mice. H, qPCR of brown adipose tissue genes Ucp1 and Prdm16. Data are from n = 6 control and n = 5 ColI(2.3)+/Rs1+ male mice. I, qPCR of Bglap and Col1a1. Data are from n = 5 control and n = 5 ColI(2.3)+/Rs1+ male mice. J, qPCR of Wnt6, Wnt10a, and Wnt10b. Data are from n = 6 control and n = 5 ColI(2.3)+/Rs1+ male mice. K, qPCR of Ccnd1, Tcf7, and Axin. Data are from n = 3–4 control and n = 3 ColI(2.3)+/Rs1+ male mice. L, qPCR of Dkk1 and Sost. Data are from n = 3 control and n = 5 ColI(2.3)+/Rs1+ male mice. M, Western blottings of active β-CATENIN and total β-CATENIN from crushed femurs with GAPDH as a loading control. Data are from n = 4 control and n = 4 ColI(2.3)+/Rs1+ male mice. Active β-CATENIN and GAPDH control images were taken at 45-second exposure. Total β-CATENIN and GAPDH control images were taken at 60- and 15-second exposures, respectively. All data are from crushed femurs of control and ColI(2.3)+/Rs1+ mice. Statistical differences were determined by Student's t test; *, P < .05; **, P < .01; ***, P < .001; N.S., not significant.

Bone adipogenesis is suppressed from up-regulation of Wnt signaling in ColI(2.3)+/Rs1+ mice

Because bone marrow adipocyte formation can be suppressed by Wnt signaling (41, 43), we next examined whether abnormalities in expression of Wnt genes (Wnt6, Wnt10a, and Wnt10b) may provide a potential mechanism for the decreased adipogenesis in ColI(2.3)+/Rs1+ mice. Wnt6, Wnt10a, and Wnt10b were all dramatically increased compared with control femurs (Figure 6J) and tibias (Supplemental Figure 3B). In addition to the up-regulation of Wnt gene expression, we observed a significant up-regulation of Wnt downstream targets Ccnd1, Tcf7, and Axin2 in ColI(2.3)+/Rs1+ mice femur (Figure 6K) and tibia bones (Supplemental Figure 3C). The Wnt pathway inhibitors Dkk1 and Sost were both increased in ColI(2.3)+/Rs1+ bones but only Sost was significantly increased in femurs, indicating that the bones may be attempting to compensate by decreasing Wnt expression (Figure 6L). Interestingly, the tibia showed a significant increase in Dkk1 but not Sost gene expression (Supplemental Figure 3D). This may reflect differences in the composition between the femur and tibia bones. We next looked to see whether activation of Wnt signaling was occurring through canonical β-catenin signaling (5). We found up-regulation of both total and active forms of β-CATENIN compared with control femurs (Figure 6M). These results indicate that ColI(2.3)+/Rs1+ bones have dysregulated Wnt signaling, which contributes to the reduction in adiposity in the bone.

Increased glycolytic demand by ColI(2.3)+/Rs1+ osteoblastic cells

Osteoblasts are thought to be highly dependent on glucose metabolism (7, 11, 12, 44), yet the metabolic analyses of the ColI(2.3)+/Rs1+ mice suggested effects on both peripheral and bone marrow fat utilization. To test whether Gs-GPCR signaling in osteoblasts activates increased fatty acid metabolism, we used the Seahorse mitochondrial and glycolytic stress tests to examine the oxidative respiration and glycolytic activity of isolated bone cells cultured for 7 days. We observed no significant differences in oxidative respiration; however, we saw a pronounced increase in glycolytic activity in bone cells isolated from ColI(2.3)+/Rs1+ mice (Figure 7, A and B).

Figure 7.

Figure 7.

ColI(2.3)+/Rs1+ osteoblastic cells have increased glycolytic demand without alterations to oxidative metabolism. Seahorse (A) mitochondrial and (B) glycolytic stress tests of isolated bone cells cultured for 7 days. Data are from 5 wells from 2 separate male control mice and 6 wells from 3 separate male ColI(2.3)+/Rs1+ mice. C, Glut1, Glut3, and Glut4 receptor expression from crushed tibias of control and ColI(2.3)+/Rs1+ mice. D, Cpt1b and Cyc1 expression from crushed tibias of control and ColI(2.3)+/Rs1+ mice. Data are from n = 5 control and n = 5 ColI(2.3)+/Rs1+ male mice. Statistical differences were determined by Student's t test; *, P < .05; **, P < .01; ***, P < .001; N.S., not significant.

We next measured glucose and fatty acid transport receptors to see whether ColI(2.3)+/Rs1+ bones have differential expression of these genes. Glut1 expression was not changed between control and ColI(2.3)+/Rs1+ bones, but Glut3 and Glut4 were dramatically reduced in ColI(2.3)+/Rs1+ bones (Figure 7C). Ctn1b, a fatty acid transporter, was not changed in ColI(2.3)+/Rs1+ bones (Figure 7D). Furthermore, a marker of oxidative respiration Cyc1 showed no changes in expression in ColI(2.3)+/Rs1+ bone (Figure 7D). These results indicated that ColI(2.3)+/Rs1+ bone cells do not activate their oxidative phosphorylation pathway but have increased glycolytic demand, yet decreased expression of Glut transporters, specifically Glut3 and Glut4.

Discussion

Our studies revealed that Gs-GPCR activity in osteoblastic cells can influence both bone and whole-body adiposity and metabolism. Within the bone, the increased total Wnt and osteocalcin expression in ColI(2.3)+/Rs1+ mice suggests that a noncell autonomous mechanism favors differentiation of mesenchymal progenitors to an osteogenic cell fate, but blocks maturation of mesenchymal progenitors into adipocytes. This latter block may result in increased expression of early adipogenic genes (Figure 8). A similar model has been proposed in murine models with increased parathyroid hormone or parathyroid hormone related peptide acting on osteoblastic progenitor cells (45). In contrast, the mechanism for the reduction in systemic adiposity is less clear. However, our model with both activated Gs signaling in osteoblasts and high serum osteocalcin is consistent with the notion of bone as a regulator of peripheral glucose metabolism and fat utilization (44, 46).

Figure 8.

Figure 8.

Model for the reduction of bone marrow and whole-body adiposity in ColI(2.3)+/Rs1+ mice. Osteoblastic (OBC) Gs-GPCR signaling in ColI(2.3)+/Rs1+ mice results in increased osteocalcin secretion that likely contributes to increased insulin sensitivity and influences fat utilization. This also reduces peripheral adiposity, serum TAGs, and secretion of adipokines by peripheral adipose tissues, which in turn affects sympathetic nervous system signaling to the bone and other tissues. In the ColI(2.3)+/Rs1+ mice bones, OBC Gs signaling results in reduced adipocytes development (ADCs) and increased OBC energy consumption, possibly from Wnt-mediated bone formation at the expense of adipogenesis.

Osteoblasts require a large amount of energy to produce mineralized bone (3, 7, 47). Furthermore, early osteogenic cells utilize oxidative phosphorylation, but at later stages of mineralization are more dependent on glycolytic metabolism (7). Although the ColI(2.3)+/Rs1+ mice were previously shown to have large numbers of immature Osterix-positive cells (24) and produce large quantities of immature bone matrix (48), we found that the isolated bone cells had increased glucose metabolism but not fatty acid metabolism. Given the significantly increased number of osteoblastic-lineage cells in the ColI(2.3)+/Rs1+ mice, we speculate that this large mass increase reduces systemic adiposity by increasing total energy utilization. In addition, recent studies indicate that mature osteoblast glucose uptake via Glut1 may interact with Runx2 to regulate osteoblast differentiation (44). Our seemingly paradoxical finding of increased glucose utilization but decreased Glut3 and Glut4 expression may be a reflection of how the increased osteoblastic Gs-GPCR activity causes a shift of mesenchymal stem cells to the osteoblastic cell fate. We speculate that this change in cell fate also results in a reduction of the cells expressing Glut3 and Glut4 but leaves osteoblastic Glut1 expression unchanged.

Although the increased osteocalcin levels we observed may have a modest effect on insulin sensitivity, it does not appear to be the primary mechanism for the reduction in adiposity in ColI(2.3)+/Rs1+ mice. In contrast to a previous report examining the effect of osteoclacin on fasting glucose (11), ColI(2.3)+/Rs1+ mice showed no differences in resting glucose, resting insulin levels, or total energy expenditure, but have reduced serum adipokines levels. Furthermore, ColI(2.3)+/Rs1+ mice are resistant to HFD-induced increases in fat, although we did find slightly increased fasting serum glucose levels on a HFD. Future work identifying which bone derived secreted factors in ColI(2.3)+/Rs1+ mice are capable of influencing adiposity will help us understand how osteoblastic Gs-GPCR ultimately affects adipose tissues, and also help in the development of novel treatments that then could potentially reduce systemic adiposity while having a favorable impact on bone health.

In previous studies, it has been shown that removing Gs or Wnt signaling in osteoblasts can increase bone marrow adipogenesis at the expense of osteogenesis (5, 23). Our studies suggest that the converse is also true: stimulating osteogenic metabolism through Gs-GPCR signaling in osteoblastic cells may be an approach for reducing adiposity. In addition, clinical studies with the GPCR-active drug teriparatide (recombinant parathyroid hormone) used to treat osteoporosis suggest that it can lower glycated hemoglobin (HbA1c) levels without affecting serum glucose (49, 50). Other studies also suggest that women treated with recombinant PTH for osteoporosis have increased levels of serum decarboxylated osteocalcin with a corresponding decrease in fat mass, which was also associated with improvements in BMI (46). Further delineation of this potential clinical correlation with GPCR signaling, and whether more specific GPCR pathway components might be targeted, is still needed.

ColI(2.3)+/Rs1+ mice display a more severe bone phenotype than that observed with other models of increased bone mass such as Col1-caPPR, Wnt10b, and FABP4-Wnt10b transgenic mice (5153). We have yet to identify the source of the elevated Wnt protein gene expression in ColI(2.3)+/Rs1+ bones. In addition, our findings are reminiscent of the phenotype observed in FABP4-Wnt10b transgenic mice, which also have reduced serum levels of leptin and resistin with increased insulin sensitivity (53). These mice also develop a significant bone phenotype, although levels of serum osteocalcin were not reported (54). Recently, Sinha et al demonstrated that loss of Gsα in osteoblastic cells results in increased adipogenesis at the expense of osteogenesis (23). These mice also had lower levels of Lef1 signaling, a measure of downstream Wnt signaling (32). Our results suggest that Gs signaling in osteoblastic cells may promote bone-mediated Wnt signaling activity, which may then play a role in the increased fat utilization seen in ColI(2.3)+/Rs1+ mice. However, the direct mechanistic link between peripheral fat mobilization and the increased glucose utilization of the ColI(2.3)+/Rs1+ osteoblasts remains to be elucidated.

In conclusion, we have identified that Gs-GPCR activity in osteoblastic cells can regulate systemic metabolic homeostasis in a model of significant increased bone growth, and lead to reduced bone marrow adiposity likely through increased Wnt signaling. Finally, we demonstrated that ColI(2.3)+/Rs1+ mice were resistant to increased adiposity when subjected to a HFD, which is most likely due to stimulated metabolic activity in osteoblastic cells. These studies have exciting implications for using engineered receptors to identify bone-derived factors that can regulate systemic energy utilization, which may help us develop new treatments for conditions of increased insulin resistance and bone fragility such as obesity and type 2 diabetes.

Acknowledgments

We thank Robert Nissenson, Mark Anderson, and Shingo Kajimura for valuable comments and discussion, Caroline Miller with the Gladstone Histology Core, and Christophe Paillart and the University of California, San Francisco (UCSF) Diabetes Research Center.

This work was supported in part by National Institutes of Health (NIH) Fellowship Training Grants 5T32GM007085-35, 5T32DK007418-34, and 5T32DK007161-41 (to C.J.C.), NIH Grant K08 AR056299 (to E.C.H.), NIH Grant R03 AR060986 (to E.C.H.), the UCSF Department of Medicine (to E.C.H.), and a UCSF Diabetes and Endocrinology Research Center Pilot Grant (NIH P30 DK063720) (to E.C.H.).

Disclosure Summary: E.C.H. receives research funding from Clementia Pharmaceuticals for clinical trials unrelated to this work. The other authors have nothing to disclose.

Footnotes

Abbreviations:
BMC
bone mineral content
BMD
bone mineral density
CLAMS
Comprehensive Lab Animal Monitoring System
GAPDH
glyceraldehyde-3-phosphate dehydrogenase
GPCR
G protein-coupled receptor
H&E
hematoxylin and eosin
HFD
high-fat diet
PAI-1
plasminogen activator inhibitor-1
qPCR
quantitative polymerase chain reaction
RQ
respiratory quotient
TAG
triacylglyceride
Wnt
Wingless/Int-1 family.

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