Abstract
The endogenous peptide C-type natriuretic peptide (CNP) binds its receptor, guanylyl cyclase B (GCB), and is expressed by endothelial cells in diverse tissues. Because the endothelial cells of visceral adipose tissue have recently been reported to play a role in lipid metabolism and inflammation, we investigated the effects of CNP on features of obesity by using transgenic (Tg) mice in which CNP was placed under the control of the Tie2 promoter and was thus overexpressed in endothelial cells (E-CNP). Here we show that increased brown adipose tissue thermogenesis in E-CNP Tg mice increased energy expenditure, decreased mesenteric white adipose tissue (MesWAT) fat weight and adipocyte hypertrophy, and prevented the development of fatty liver. Furthermore, CNP overexpression improved glucose tolerance, decreased insulin resistance, and inhibited macrophage infiltration in MesWAT, thus suppressing pro-inflammation during high-fat diet–induced obesity. Our findings indicate an important role for the CNP produced by the endothelial cells in the regulation of MesWAT hypertrophy, insulin resistance, and inflammation during high-fat diet–induced obesity.
Introduction
Obesity has increased worldwide and is associated with diseases including dyslipidaemia, diabetes, cardiovascular disease, and various cancers1. Although adipose tissue is a major depot for the storage of fat in the form of triglycerides, its excess production disrupts the energy balance, leading to energy overconsumption. Adipose tissue contains mature adipocytes, pre-adipocytes, fibroblasts, endothelial cells, and a variety of immune cells, including macrophages2. In particular, by regulating the exchange of nutrients and oxygen between blood and tissues, endothelial cells are a key determinant of the growth and function of adipose tissue3, 4. Furthermore, inhibiting endothelial cell inflammation in visceral adipose tissue prevents alterations in adipocytes that contribute to obesity comorbidities5. Therefore, endothelial cells may affect adipose tissue during obesity-associated metabolic dysfunction.
Natriuretic peptides (NPs), including atrial NP (ANP), brain NP (BNP), and C-type NP (CNP), have attracted great attention as indicators of the metabolic regulation in the cardiovascular and renal systems6–8. CNP acts as a local factor by binding its specific receptor, guanylyl cyclase B (GCB), and is highly expressed by endothelial cells in the central nervous system and peripheral tissues9–12. CNP in the central nervous system reportedly regulates food intake and fat weight13. In addition, CNP has been shown to have anti-inflammatory, anti-mitogenic, and anti-fibrotic functions and to regulate vascular function14–16. NPs affect the homeostasis of glucose and lipid metabolism, partly through the reduction of adipogenesis17. Recently CNP has been implicated in regulation of lipogenesis in adipocytes18. We therefore hypothesized that endothelial cell–specific CNP overexpression may protect against the development of the obesity condition.
To this end, we generated transgenic (Tg) mice in which CNP was overexpressed under the control of the endothelial cell–specific Tie2 promoter19 (E-CNP) and used these mice to study the effects of CNP during high-fat diet (HFD)-induced and genetic obesity. We found that CNP overexpression increased energy expenditure, reduced mesenteric adipose tissue (MesWAT) hypertrophy, and improved insulin sensitivity and hepatic lipid metabolism during HFD-induced obesity. Furthermore, CNP overexpression had anti-inflammatory effects in the MesWAT of our mouse models of HFD-induced and genetic obesity.
Results
Endogenous CNP and GCB expression increased in the peripheral tissues of HFD-fed mice compared with STD-fed mice
In the HFD-fed mice, CNP mRNA expression significantly increased, as in peripheral tissues, in mesenteric white adipose tissue (MesWAT), inguinal white adipose tissue (IngWAT), and liver compared with standard diet (STD)-fed mice, whereas in brown adipose tissue (BAT) CNP mRNA expression was decreased compared with STD-fed mice (Fig. 1a). In addition, GCB mRNA expression in the MesWAT, IngWAT, BAT, and liver of HFD-fed mice was significantly greater compared with that in STD-fed mice (Fig. 1b). These results indicate that endogenous CNP and GCB mRNA expression differ in the peripheral tissues of HFD-fed mice compared with STD-fed mice, suggesting that CNP expression affects obesity. Therefore, we examined the role of endothelial cell–specific overexpression of CNP in HFD-induced obesity.
CNP mRNA expression is upregulated in the tissues of E-CNP Tg mice
The body weights of both wild-type (Wt) and E-CNP Tg mice on HFD were increased compared with their STD-fed counterparts but did not differ between Wt and E-CNP Tg mice on the same diet from 5 to 20 weeks of age (Fig. 2a and b). Food intake remained similar among all groups regardless of diet (Fig. 2c and d). However, the naso-anal length was greater in E-CNP Tg than Wt mice on both STD and HFD (Fig. 2e and f), perhaps reflecting the positive effect of CNP on bone growth20.
We then examined CNP mRNA expression in various tissues and found that it was increased in the epididymal white adipose tissue (EpiWAT), MesWAT, IngWAT, BAT, aorta (AO), and liver of 20-week-old STD-fed and HFD-fed E-CNP Tg mice compared with their Wt controls (Fig. 2g and h). However, GCB mRNA expression did not differ between groups or tissues (Supplementary Figure S1a and b).
Visceral adipose tissue demonstrates characteristic changes in quantity and features during obesity; adipose tissue is composed of mature adipocytes and nonadipocyte cells; these cells constitute the stromal vascular fraction (SVF)21, which is rich in pre-adipocytes, endothelial cells, macrophages, and diverse other cells. We isolated the SVF and mature adipocytes from EpiWAT and MesWAT (i.e., visceral fat depots) of HFD-fed mice and measured the CNP and GCB mRNA expression in these cell populations. CNP expression in mature adipocytes was similar between groups but was significantly greater in the SVF of EpiWAT (Fig. 2i) and MesWAT (Fig. 2j) from E-CNP Tg mice than in those from Wt mice. In comparison, GCB mRNA expression in the EpiWAT and MesWAT remained similar between SVF and mature adipocytes and between groups (Supplementary Figure S1c and d).
E-CNP Tg mice demonstrate increased energy expenditure due to BAT thermogenesis during HFD-induced obesity
We then investigated the metabolic effects of CNP overexpression in STD- and HFD-fed E-CNP Tg mice. Oxygen consumption (VO2), the respiratory exchange ratio (RER), and locomotor activity did not differ between groups of STD-fed mice (Supplementary Figure S2a–c). However, VO2 was increased during both the light and dark phases in HFD-fed E-CNP Tg mice compared with Wt mice, whereas RER and locomotor activity were similar between groups (Fig. 3a–c). Because BAT has recently been recognized as an important player in energy metabolism22, we analysed the expression of various thermogenesis-related genes in the BAT of Wt and E-CNP Tg mice. Compared with Wt mice, E-CNP Tg mice showed increased mRNA levels of uncoupling protein 1 (UCP1), cell death–inducing DNA fragmentation factor α-like effector A (Cidea), positive regulatory domain–containing protein 16 (PRDM16), and peroxisome proliferator–activated receptor γ (PPARγ) (Fig. 3d). In addition, the inguinal WAT of rodents contains brown-like adipocytes23, in which excess energy is dissipated directly by UCP1-associated uncoupling of fatty-acid oxidation from ATP production24. We therefore evaluated the mRNA level of UCP1, a transcriptional regulator of BAT development, in the IngWAT of our mice but found that it did not differ between groups (Supplementary Figure S3). In addition, rectal temperature was similar between groups (Fig. 3e). These data suggest that the increased thermogenic activity in their BAT led to elevated energy expenditure in E-CNP Tg mice.
Adipocyte hypertrophy and lipogenesis in MesWAT are suppressed during HFD-induced obesity in E-CNP Tg mice
The ratio between adipose tissue weight and body weight was similar between Wt and Tg STD-fed mice (Fig. 4a), whereas MesWAT–body weight ratio and adipocyte size both were significantly decreased in HFD-fed E-CNP Tg mice compared with Wt mice (Fig. 4b–d). In addition, triglyceride content tended to be decreased in E-CNP Tg mice (Fig. 4e), and the expression of lipogenesis-related genes including PPARγ, acetyl-CoA carboxylase (ACC), and fatty acid synthase (FASN) and the FASN protein level all were decreased in the MesWAT of E-CNP Tg mice compared with their Wt counterparts (Fig. 4f and Supplementary Figure S4). In contrast, fatty acid β–oxidation related genes such as peroxisome proliferator–activated receptor γ coactivator 1α (PGC1α), peroxisome proliferator–activated receptor α (PPARα), carnitine palmitoyltransferase 1 (CPT1), and hormone-sensitive lipase (HSL) showed similar expression levels between groups (Fig. 4g). Furthermore, E-CNP Tg mice had decreased serum levels of triglycerides, total cholesterol, insulin, and leptin and an increased adiponectin level, compared with Wt mice (Supplementary Table S1). Together these findings suggest that the overexpression of CNP in endothelial cells reduced the increase in the MesWAT–body weight ratio during HFD-induced obesity accompanying both reducing adipocyte size and modulating adipokines.
E-CNP Tg mice have improved glucose tolerance and decreased insulin resistance during HFD-induced obesity
We assessed glucose tolerance and insulin resistance in E-CNP Tg and Wt mice fed STD or HFD. In STD-fed mice, glucose levels during GTT and ITT did not differ between groups (Supplementary Figure S5). However, in HFD-fed mice, glucose and insulin levels during GTT were lower in E-CNP Tg mice than in Wt mice (Fig. 5a and b), as was the glucose level during ITT (Fig. 5c). We found that insulin-stimulated protein kinase B (Akt) phosphorylation was significantly increased in liver from insulin-stimulated E-CNP Tg compared with Wt mice (Fig. 5d and e). In addition, immunohistochemical staining revealed that the insulin- and Ki67-positive areas in pancreatic islets were significantly smaller in E-CNP Tg mice than in Wt mice (Supplementary Figure S6). These results indicate that E-CNP Tg mice with HFD-induced obesity have improved glucose tolerance and decreased insulin resistance.
Inflammation during HFD-induced obesity is ameliorated in E-CNP Tg mice
We then investigated the anti-inflammatory effects of CNP overexpression in the endothelial cells. Compared with that in Wt mice, the MesWAT of E-CNP Tg mice had significantly lower mRNA levels of tumour necrosis factor α (TNF-α), interleukin 6 (IL-6), and monocyte chemoattractant protein 1 (MCP-1) (Fig. 6a). Crown-like structures arise when F4/80-positive macrophages infiltrate adipose tissue and surround adipocytes25. Fewer F4/80-positive macrophages infiltrated into the MesWAT (Fig. 6b and c) and F4/80 mRNA levels in the SVF of MesWAT (Fig. 6d) were lower in E-CNP Tg mice than in Wt mice. Furthermore, serum concentrations of inflammatory cytokines, including TNF-α, IL-6, and MCP-1, were significantly lower in E-CNP Tg mice (Fig. 6e) and may be responsible for the anti-inflammatory effects in these mice.
Hepatic features of E-CNP Tg mice during HFD-induced obesity
The liver is a highly vascular organ, receiving as much as 25% of the total cardiac output in animals at rest26, and is a key player in lipid metabolism27. Whereas liver weight did not differ between Wt and Tg STD-fed mice (Fig. 7a), liver weight as well as triglyceride and total cholesterol contents were significantly decreased in HFD-fed E-CNP Tg compared with Wt mice (Fig. 7b–d). These findings prompted us to investigate indicators of hepatic lipid metabolism and pro-inflammatory markers. E-CNP Tg mice showed significantly decreased expression of lipogenic enzymes such as ACC and FASN (Fig. 7e) but increased expression of the fatty acid β-oxidation related factors PPARα and CPT1 (Fig. 7f). mRNA levels of the pro-inflammatory markers TNF-α, IL-6, and MCP-1 were significantly decreased in the liver of E-CNP Tg compared with Wt mice (Fig. 7g). These combined results indicate that the inflammation typically associated with HFD-induced obesity was decreased in E-CNP Tg mice.
Decreased inflammation in OBEC mice
We then sought to confirm the effects of endothelialcell–specific CNP overexpression in another obesity model. One of the most studied models in obesity research, ob/ob mice are genetically deficient in leptin28, which has a prominent role in the development of obesity29. In particular, ob/ob mice display hyperphagia, obesity, hyperglycaemia, and insulin resistance30. We crossed E-CNP heterozygous (ob/+ ∙ E-CNP Tg) mice with leptin homozygous (ob/ob) mice to generate OBEC mice, which are leptin-deficient and express CNP in endothelial cells. Body weight and macroscopic appearance were similar between ob/ob and OBEC mice fed STD (Fig. 8a and b). Compared with ob/ob mice, OBEC mice had significantly increased CNP mRNA expression in MesWAT, IngWAT, BAT, AO, and liver (Fig. 8c). However, GCB mRNA expression remained similar between groups and tissues (Supplementary Figure S7). In addition, the tissue–body weight ratio and glucose level during GTT were similar between these groups (Fig. 8d and e). However, whereas OBEC mice showed decreased expression of pro-inflammatory genes, such as TNF-α and MCP-1, in MesWAT (Fig. 8f), serum levels of these pro-inflammatory cytokines did not differ between groups (Fig. 8g). Therefore, CNP overexpression in endothelial cells decreased pro-inflammation in the MesWAT of genetically obese mice.
Discussion
In this study, we examined the effects of CNP overexpression in the endothelial cells of mice with HFD-induced (E-CNP) or genetic (OBEC) obesity. Our results show that BAT thermogenesis was stimulated in E-CNP Tg mice, leading to increased energy expenditure, decreased MesWAT–body weight ratio and insulin resistance, and inhibition of fatty liver during HFD-induced obesity. In addition, the overexpression of CNP in endothelial cells ameliorated HFD-induced and genetic obesity-associated inflammation.
Food intake was similar between Wt and E-CNP Tg mice, but E-CNP Tg mice had higher energy expenditure, as indicated by their increased oxygen consumption. This increased energy expenditure was accompanied by increased expression of thermogenesis-related genes, including UCP1, Cidea, PRDM16, and PPARγ, in BAT. Increased energy expenditure typically is associated with a loss of adipose tissue weight31. Therefore, this decreased MesWAT–body weight ratio reflects the increased energy expenditure in E-CNP Tg mice.
Visceral adipose tissue might be an important clinical target for manipulating metabolism32. The lipogenic regulation of lipid metabolism modulates endothelial cell function associated with obesity33. Consistent with this finding, the MesWAT of E-CNP Tg mice demonstrated decreased adipocyte hypertrophy and lipogenesis. Adipose tissue and liver are key tissues in the context of lipid homeostasis34; accordingly, decreased adipocyte size was positively associated with decreased hepatic lipid content in our E-CNP Tg mice. Lipid accumulation in visceral adipose tissue and liver is crucial in the regulation of insulin sensitivity, thus suggesting a link between obesity-related insulin resistance and an increased risk of diabetes35, 36. Furthermore, decreased hepatic weight and insulin activity are both hallmarks of non-alcoholic fatty liver disease37. Therefore, CNP overexpression in endothelial cells may both decrease hepatic lipid accumulation and improve the response to insulin.
The E-CNP Tg mice were protected against not only HFD-induced obesity but also insulin resistance. The results of the GTT, ITT, and insulin-stimulated Akt phosphorylation assay were improved in E-CNP Tg compared with Wt mice. Given that adipocyte hypertrophy and the infiltration of macrophages into adipose tissue promote obesity-associated insulin resistance38, the decreased insulin resistance in E-CNP Tg mice may reflect not only decreased MesWAT accumulation but also decreased inflammation.
The vascular injury induced by high blood glucose levels can lead to endothelial cell dysfunction and the production of inflammatory cytokines39, 40. Therefore, we confirmed that the anti-inflammatory effects of endothelialcell–specific CNP overexpression were present during both HFD-induced and genetic obesity. However, the degree of anti-inflammatory effect differed between E-CNP Tg and OBEC mice: whereas OBEC mice showed decreased pro-inflammatory mRNA levels in MesWAT only, E-CNP Tg mice had increased anti-inflammatory effects in tissues as well as serum. The endothelial cells and macrophages in adipose tissue play critical roles in inflammatory responses41, and endothelial cells from visceral adipose tissue are both active participants in and regulators of inflammation42, 43. In addition, important features of an effective inflammatory response include increased macrophage infiltration and concomitantly increased TNF-α and IL-6 expression44; in addition, the pro-inflammatory compound MCP-1 is important for recruiting macrophages into adipose tissue45. However, the mechanism underlying the different in anti-inflammatory effects between E-CNP Tg and OBEC mice is unclear currently but may reflect their differing levels of obesity. Regardless of the type of obesity involved, we surmise that endothelial cell–specific overexpression of CNP reduces inflammation.
Interestingly, our results revealed beneficial effects of endothelial cell–specific overexpression of CNP in the liver of mice with HFD-induced obesity. Previous studies showed that both ANP and BNP can decrease adipocyte hypertrophy, inflammation, and insulin resistance and exert hepatoprotective effects46. MesWAT is drained by the portal vein, whereas the blood from all other abdominal fat, including perigonadal, bypasses the liver47. The portal drainage of cytokines, adipokines, and free fatty acids released from visceral adipose tissue directly to the liver may significantly influence metabolism48. Therefore, the vasculature is a primary site at which inflammation occurs in obesity, and HFD-elicited vascular inflammation contributes to the development of obesity-associated metabolic disorders49. Furthermore, recent studies have recognized that characteristics and functions of the sheath of adipose tissue that surrounds blood vessels (perivascular adipose tissue, PVAT)50 differ according to its specific location51. PVAT regulates endothelial function52, and appears to be altered in obesity and diabetes mellitus, during which the PVAT expands, accumulates inflammatory cells, and alters the production of various adipokines and inflammatory cytokines53, 54. Therefore, endothelial cell–specific CNP overexpression, which was increased in highly vascularized tissues such as BAT55, MesWAT56, and liver of our Tg mice, may protect against metabolic disorders in HFD-induced obesity.
Lastly, the NP family members ANP and BNP contribute to the homeostatic maintenance of blood pressure57, 58. In comparison, the activity of exogenous CNP is weaker than that of ANP, and exogenous CNP has activities without effects on blood pressure59–61; both of these possibilities are consistent with the results seen in our endothelial cell–specific CNP Tg mice (Supplementary Table S2). In addition, deletion of endothelium-derived CNP recently was shown to increase blood pressure62, 63. Therefore, CNP’s effects on the cardiovascular system may differ depending on its source (that is, exogenous or endogenous). To confirm this hypothesis, our futures studies will focus on the precise function of CNP in the regulation of the cardiovascular system.
In conclusion, the overexpression CNP in endothelial cells promoted BAT thermogenesis, leading to increased energy expenditure and decreased MesWAT adipocyte hypertrophy, fatty liver, insulin resistance, and inflammation in HFD-fed Tg mice.
Materials and Methods
Animals
C57BL/6 J mice were obtained from CLEA Japan (Tokyo, Japan). Ob/ob mice (B6.V-Lepob/J) were obtained from the Jackson Laboratory (stock 000632; Bar Harbor, ME, USA). All experiments involving animals were approved in advance by the Animal Care and Use Committee of the National Cerebral and Cardiovascular Center Research Institute (Osaka, Japan) and were performed in accordance with approved guidelines. The laboratory animal facilities of the National Cerebral and Cardiovascular Center Research Institute comply with the “Basic Policies for the Conduct of Animal Experimentation” of the Ministry of Health, Labour, and Welfare, as assessed by the Center for Accreditation of Laboratory Animal Care and Use, Japan Health Sciences Foundation. All mice were housed under a 12:12-h light:dark cycle and had unrestricted access to STD (12 kcal% fat, 29 kcal% protein, and 59 kcal% carbohydrate; CE2, CLEA Japan) or HFD (57 kcal% fat, 20 kcal% protein, and 23 kcal% carbohydrate; High-Fat Diet 32, CLEA Japan). For the diet-induced obesity model, Wt and E-CNP Tg mice were fed HFD beginning at 5 weeks of age; Ob/ob and OBEC mice were fed STD until 10 weeks of age. All mice had unrestricted access to feed and water and were weighed once weekly. Body length was measured as the nose-to-anus length at necropsy, and MesWAT was stripped from the duodenum to the colon. When stated, mice were fasted for 16 h before being euthanized.
Generation of E-CNP and OBEC mice
The E-CNP Tg construct was generated through conventional methods; the coding region of human CNP cDNA (clone RBd49C10; RIKEN BioResource Center, Tsukuba, Japan) was inserted into a plasmid vector (pBluescript) to place its expression under the control of the Tie2 promoter–enhancer (UNITECH, Chiba, Japan). The resulting E-CNP Tg construct was purified and microinjected into the pronucleus of C57BL/6 J mouse embryos by using standard techniques. E-CNP Tg F1 mice were identified by using PCR analysis and then mated with C57BL/6 J mice to expand the population of E-CNP Tg mice. All experiments that used E-CNP Tg mice were performed on male Tg mice and their male Wt littermates.
To generate OBEC mice, two in vitro fertilization (IVF) steps were performed by using standard techniques. The first IVF step involved ob/ob and E-CNP Tg mice to create ob/+∙ E-CNP Tg mice. In the second IVF step, ob/+∙ E-CNP Tg and ob/ob mice were used to produce ob/ob ∙ E-CNP Tg (OBEC) mice. Experiments involving OBEC mice used male OBEC mice and their male ob/ob littermates from the second IVF step.
Isolation of SVF and mature adipocytes
MesWAT was fractionated as described previously64, with slight modification. Briefly, fat pads were isolated from 20-week-old HFD-fed Wt and E-CNP Tg mice; a maximum of 1 g of tissue was digested with 20 mg of collagenase type VIII (Sigma, St Louis, MO, USA) in Krebs–Ringer bicarbonate HEPES buffer containing 1% bovine serum albumin (Sigma) at 37 °C for 1 h. After centrifugation, the upper layer was harvested as the source of mature adipocytes, and the SVF was obtained as the precipitated cells.
Metabolic assessment
Using a metabolic monitoring system (CLAMS; Columbus Instruments, Columbus, OH, USA), we assessed the VO2, RER, and locomotor activity of 20-week-old STD- or HFD-fed Wt and E-CNP Tg mice for 1 week. Body temperature was measured by inserting a sensor (measurement range, 22–42 °C; measurement error, ±0.1 °C) into the rectum (ATB-1100, Nihon Kohden, Tokyo, Japan).
Serum and tissues biochemical analysis
Serum triglyceride, total cholesterol, and free fatty acid concentrations were measured by using commercial kits (Wako, Osaka, Japan). The triglycerides and total cholesterol of tissues such as MesWAT and liver were extracted by using a chloroform–methanol solution (2:1, vol:vol) according to the Bligh and Dyer method65. Briefly, the chloroform–methanol solution was added to the homogenized liver tissues, which then were vortexed and centrifuged; the lower phase was collected and evaporated at room temperature under a fume hood. The resulting semi-dried pellets were dissolved in 1% Triton X-100 (Nacalai Tesque, Kyoto, Japan). The triglyceride and total cholesterol contents of tissues were analysed by using the same enzymatic kits as those for the serum analyses. The serum concentrations of insulin, leptin, and adiponectin were determined by using ELISA kits (insulin and leptin: Morinaga, Yokohama, Japan; adiponectin: Otsuka Pharmaceutical, Tokyo, Japan). Serum concentrations of TNF-α, IL-6, and MCP-1 were determined by using Quantikine ELISA kits (R&D Systems, Minneapolis, MN, USA).
Histology and immunohistochemical analysis
Samples of adipose tissue, pancreas, and liver were fixed in 4% paraformaldehyde in phosphate buffer solution (Wako) for 24 h at room temperature, embedded in paraffin, sectioned at 4 μm, and stained with haematoxylin and eosin. For immunohistochemistry, paraffin-embedded sections were stained with monoclonal anti-insulin (Histofine; Nichirei, Tokyo, Japan), anti-Ki67 (dilution, 1:1000; Abcam, Cambridge, MA, USA), and anti-F4/80 (AbD Serotec, Oxford, UK) antibodies. Images were acquired by using an FSX100 system (Olympus, Tokyo, Japan), and the F4/80-positive area was quantified by using cellSens Dimension software (version 1.6, Olympus). Histologic images were analysed to calculate the sizes of adipocytes and of the insulin- and Ki67-positive areas by using Image J software (National Institutes of Health, Bethesda, MD, USA). For the analyses, 5 random images were captured from each sample.
RNA isolation and quantitative RT-PCR analysis
Total RNA was isolated from tissue samples by using TRIzol Reagent (Invitrogen, Carlsbad, CA, USA). First-strand cDNA was synthesized from total RNA by using a commercially available kit (QuantiTect Reverse Transcription kit; Qiagen, Hamburg, Germany). Quantitative real-time PCR analysis was performed by using the SYBR Premix Ex Taq (Takara, Shiga, Japan), a LightCycler 480 System II (Roche Applied Science, Indianapolis, IN, USA), and gene-specific primers (Supplementary Table S3). Gene copy numbers were calculated by using a standard curve generated from serially diluted plasmid DNA and were normalized against the mRNA level of the ribosomal protein 36B4.
Western blot analysis
Tissues were lysed in NP-40 buffer supplemented with protease and phosphatase inhibitor cocktails (catalogue nos. 04080-11 and 07574-61; Nacalai Tesque, Kyoto, Japan). Total protein concentrations were determined by using the Pierce 660 nm Protein Assay Reagent (Thermo Fisher Scientific, Rockford, MA, USA). Proteins were separated by electrophoresis through a 4–15% sodium dodecyl sulphate–polyacrylamide gel (Bio-Rad, Hercules, CA, USA) and were transferred to a polyvinylidene difluoride membrane (Millipore, Billerica, MA, USA). The membrane was incubated in blocking reagent (Toyobo, Osaka, Japan) at room temperature for 20 min and then was incubated at 4 °C overnight with the appropriate primary antibody diluted in Can Get Signal Solution 1 (Toyobo). All primary antibodies were from Cell Signaling Technology (Danvers, MA, USA): anti-phospho-Akt (Ser473) (catalogue no. 9271), anti-Akt (catalogue no. 9272), anti-ACC (catalogue no. 3662), anti-FASN (catalogue no. 3180), and anti-GAPDH (catalogue no. 2118). An image of the membrane was obtained by using a LAS-4000 mini luminescent image analyser (GE Healthcare UK, Little Chalfont, England, UK), and band intensities were quantitated by using Multi Gauge software (version 3.11, GE Healthcare UK).
Glucose and insulin tolerance tests
Mice were fasted overnight (~16 h), and GTT was performed by using 1 g (E-CNP Tg) or 0.625 g (OBEC) of glucose per kilogram body weight, administered by intraperitoneal injection. Blood glucose levels were measured at the indicated time points before and after glucose challenge. For ITT, mice were fasted for 4 h prior to intraperitoneal injection of insulin (0.75 U/kg body weight; Eli Lilly, Indianapolis, IN, USA). Blood samples were drawn from the tail vein for measurements of blood glucose by using a glucometer (Sanwa Kagaku Kenkyusho, Nagoya, Japan).
Statistical analysis
All values are expressed as means ± SEM. Data was analysed by using SPSS software (version 12.0 for Windows; IBM, Armonk, NY, USA). Statistical significance was evaluated by using Student’s t-test and one-way ANOVA with post hoc Tukey–Kramer testing. Differences were considered significant when P values were less than 0.05.
Electronic supplementary material
Acknowledgements
We thank Ms. Y. Fujii, Ms. M. Kitazume, and Ms. M. Fukui for their excellent technical assistance. We also thank Dr. K. Miura for helpful advice on western blotting. This work was supported in part by Grants-in-Aid for Science Research from the Ministry of Education, Culture, Sports, Science, and Technology of Japan; the Intramural Research Fund (27-2-2) for Cardiovascular Disease of the National Cerebral and Cardiovascular Center of Japan; the Japan Vascular Disease Research Foundation; and the Takeda Scientific Foundation.
Author Contributions
C.–R.B., J.H., and K.K. designed the research. C.–R.B. performed all of the experiments and analysed the data, together with J.H., Y.A., H.H., C.S., H.M., T. Tokudome., T. Tomita., T.K., T.N., K.H., and M.M. C.–R.B., J.H., Y.A., and K.K. generated transgenic mice. C.–R.B., J.H., and K.K. wrote the paper. All authors approved the final version of the manuscript.
Competing Interests
The authors declare that they have no competing interests.
Footnotes
Electronic supplementary material
Supplementary information accompanies this paper at doi:10.1038/s41598-017-10240-1
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Jun Hino, Email: jhino@ncvc.go.jp.
Kenji Kangawa, Email: kangawa@ri.ncvc.go.jp.
References
- 1.Greenberg AS, et al. The role of lipid droplets in metabolic disease in rodents and humans. J. Clin. Invest. 2011;121:2102–2110. doi: 10.1172/JCI46069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Gimble JM, et al. Adipose-derived stromal/stem cells: a primer. Organogenesis. 2013;9:3–10. doi: 10.4161/org.24279. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Villaret A, et al. Adipose tissue endothelial cells from obese human subjects: differences among depots in angiogenic metabolic and inflammatory gene expression and cellular senescence. Diabetes. 2010;59:2755–2763. doi: 10.2337/db10-0398. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Cao Y. Angiogenesis and Vascular Functions in Modulation of Obesity, Adipose Metabolism, and Insulin Sensitivity. Cell. Metabolism. 2013;18:478–489. doi: 10.1016/j.cmet.2013.08.008. [DOI] [PubMed] [Google Scholar]
- 5.Pellegrinelli V, Rouault C, Veyrie N, Clement K, Lacasa D. Endothelial cells from visceral adipose tissue disrupt adipocyte functions in a three dimensional setting: partial rescue by angiopoietin-1. Diabetes. 2014;63:535–549. doi: 10.2337/db13-0537. [DOI] [PubMed] [Google Scholar]
- 6.Brown NK, et al. Perivascular adipose tissue in vascular function and disease: a review of current research and animal models. Arterioscler. Thromb. Vasc. Biol. 2014;34:1621–1630. doi: 10.1161/ATVBAHA.114.303029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Levin E, Gardner D, Samson W. Natriuretic peptides. N. Engl. J. Med. 1998;339:321–328. doi: 10.1056/NEJM199807303390507. [DOI] [PubMed] [Google Scholar]
- 8.Mukoyama M, et al. Brain natriuretic peptide as a novel cardiac hormone in humans. Evidence for an exquisite dual natriuretic peptide system, atrial natriuretic peptide and brain natriuretic peptide. J. Clin. Invest. 1991;87:1402–1412. doi: 10.1172/JCI115146. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Komatus Y, et al. C-type natriuretic peptide (CNP) in rats and humans. Endocrinology. 1991;129:1104–1106. doi: 10.1210/endo-129-2-1104. [DOI] [PubMed] [Google Scholar]
- 10.Chen HH, Burnett JC., Jr. C-type natriuretic peptide: the endothelial component of the natriuretic peptide system. J. Cardiovasc. Pharmacol. 1998;32:S22–S28. doi: 10.1097/00005344-199807000-00009. [DOI] [PubMed] [Google Scholar]
- 11.Sudoh T, Minamino N, Kangawa K, Matsuo H. C-type natriuretic peptide (CNP): a new member of natriuretic peptide family identified in porcine brain. Biochem. Biophys. Res. Commun. 1990;168:863–870. doi: 10.1016/0006-291X(90)92401-K. [DOI] [PubMed] [Google Scholar]
- 12.Lumsden NG, Khambata RS, Hobbs AJ. C-type natriuretic peptide (CNP): cardiovascular roles and potential as a therapeutic target. Curr. Pharm. Des. 2010;16:4080–4088. doi: 10.2174/138161210794519237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Inuzuka M, et al. C-type natriuretic peptide as a new regulator of food intake and energy expenditure. Endocrinology. 2010;151:3633–3642. doi: 10.1210/en.2010-0141. [DOI] [PubMed] [Google Scholar]
- 14.Doi K, et al. C-type natriuretic peptide induces redifferentiation of vascular smooth muscle cells with accelerated reendothelialization. Arterioscler. Thromb. Vasc. Biol. 2001;21:930–936. doi: 10.1161/01.ATV.21.6.930. [DOI] [PubMed] [Google Scholar]
- 15.Itho T, et al. C-type natriuretic peptide ameliorates monocrotaline-induced pulmonary hypertension in rats. Am. J. Respir. Crit. Care. Med. 2004;170:1204–1211. doi: 10.1164/rccm.200404-455OC. [DOI] [PubMed] [Google Scholar]
- 16.Kimura, T. et al. C-type natriuretic peptide ameliorates pulmonary fibrosis by acting on lung fibroblasts in mice. Respir. Res. 19, 17:19 (2016). [DOI] [PMC free article] [PubMed]
- 17.Rubattu S, Sciarretta S, Valenti V, Stanzione R, Volpe M. Natriuretic peptides: an update on bioactivity, potential therapeutic use and implication in cardiovascular disease. Am. J. Hypertens. 2008;21:733–741. doi: 10.1038/ajh.2008.174. [DOI] [PubMed] [Google Scholar]
- 18.Katafuchi T, Garbers DL, Albanesi JP. CNP/GC-B system: A new regulator of adipogenesis. Peptide. 2010;31:1906–1911. doi: 10.1016/j.peptides.2010.06.025. [DOI] [PubMed] [Google Scholar]
- 19.Anghelina M, Moldovan L, Moldovan NI. Preferential activity Tie2 promoter in arteriolar endothelium. J. Cell. Mol. Med. 2005;9:113–121. doi: 10.1111/j.1582-4934.2005.tb00341.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Yasoda A, et al. Systemic administration of C-type natriuretic peptide as a novel therapeutic strategy for skeletal dysplasias. Endocrinology. 2009;150:3138–3144. doi: 10.1210/en.2008-1676. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Berry DC, Stenesen D, Zeve D, Graff JM. The developmental origins of adipose tissue. Development. 2013;140:3939–3949. doi: 10.1242/dev.080549. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Harms M, Seale P. Brown and beige fat: development, function and therapeutic potential. Nat. Med. 2013;19:1252–1263. doi: 10.1038/nm.3361. [DOI] [PubMed] [Google Scholar]
- 23.Vitali A, et al. The adipose organ of obesity-prone C57BL/6J mice is composed of mixed white and brown adipocytes. J. Lipid. Res. 2012;53:619–529. doi: 10.1194/jlr.M018846. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Shen W, et al. Acupuncture promotes white adipose tissue browning by inducing UCP1 expression on DIO mice. BMC. Complement. Altern. Med. 2014;16 doi: 10.1186/1472-6882-14-501. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Lumeng CN, Bodzin JL, Saltiel AR. Obesity induces a phenotypic switch in adipose tissue macrophage polarization. J Clin. Invest. 2007;117:175–184. doi: 10.1172/JCI29881. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Abdel-Misih SR, Bloomston M. Liver anatomy. Surg. Clin. North. Am. 2010;90:643–653. doi: 10.1016/j.suc.2010.04.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Nguyen P, et al. Liver lipid metabolism. J. Anim. Physiol. Anim. Nutr (Berl). 2008;92:272–283. doi: 10.1111/j.1439-0396.2007.00752.x. [DOI] [PubMed] [Google Scholar]
- 28.Libinaki R, et al. Effects of genetic and diet-induced obesity on lipid metabolism. IUBMB. Life. 1999;48:109–113. doi: 10.1080/713803473. [DOI] [PubMed] [Google Scholar]
- 29.Leibel RL. Molecular physiology of weight regulation in mice and humans. Int. J. Obese (Lond). 2008;32:S98–S108. doi: 10.1038/ijo.2008.245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Barros CC, et al. Efficient method for obtaining Lep (ob)/Lep (ob)-derived animal models using adipose tissue transplantations. Int. J. Obese (Lond). 2009;33:938–944. doi: 10.1038/ijo.2009.95. [DOI] [PubMed] [Google Scholar]
- 31.Zidek LM, et al. Deficiency in mTORC1-controlled C/EBPβ-mRNA translation improves metabolic health in mice. EMBO. Rep. 2015;16:1022–1036. doi: 10.15252/embr.201439837. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Despres JP, et al. Abdominal obesity and the metabolic syndrome: contribution to global cardiometabolic risk. Arterioscler. Thromb. Vasc. Biol. 2008;28:1039–1049. doi: 10.1161/ATVBAHA.107.159228. [DOI] [PubMed] [Google Scholar]
- 33.Kanda T, et al. PPARgamma in the endothelium regulates metabolic responses to high-fat diet in mice. J. Clin. Invest. 2009;119:110–124. doi: 10.1172/JCI36233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Reynes B, Palou M, Palou A. Gene expression modulation of lipid and central energetic metabolism related genes by high-fat diet intake in the main homeostatic tissues. Food. Funct. 2017;8:629–650. doi: 10.1039/C6FO01473A. [DOI] [PubMed] [Google Scholar]
- 35.Danforth E., Jr. Failure of adipocyte differentiation causes type 2 diabetes mellitus? Nat. Genet. 2000;26 doi: 10.1038/79111. [DOI] [PubMed] [Google Scholar]
- 36.Browning JD, Horton JD. Molecular mediators of hepatic steatosis and liver injury. J. Clin. Invest. 2004;114:147–152. doi: 10.1172/JCI200422422. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Marchesini G, et al. Nonalcoholic fatty liver disease: a feature of the metabolic syndrome. Diabetes. 2001;50:1844–1850. doi: 10.2337/diabetes.50.8.1844. [DOI] [PubMed] [Google Scholar]
- 38.Lumeng CN, Bodzin JL, Saltiel AR. Obesity induces a phenotypic switch in adipose tissue macrophage polarization. J. Clin. Invest. 2007;117:175–184. doi: 10.1172/JCI29881. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Villaret A, et al. Adipose tissue endothelial cells from obese human subjects: differences among depots in angiogenic, metabolic, and inflammatory gene expression and cellular senescence. Diabetes. 2010;59:2755–2763. doi: 10.2337/db10-0398. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Li T, et al. Perivascular adipose tissue alleviates inflammatory factors and stenosis in diabetic blood vessels. Biochem. Biophys. Res. Commun. 2016;480:147–152. doi: 10.1016/j.bbrc.2016.09.106. [DOI] [PubMed] [Google Scholar]
- 41.Tanabe S, Grenier D. Endothelial cell/macrophage cocultures as a model to study streptococcus suis-induced inflammatory responses. FEMS. Immunol. Med. Microbiol. 2009;55:100–106. doi: 10.1111/j.1574-695X.2008.00507.x. [DOI] [PubMed] [Google Scholar]
- 42.Wronkowitz N, Romacho T, Sell H, Eckel J. Adipose tissue dysfunction and inflammation in cardiovascular disease. Front. Horm. Res. 2014;43:79–92. doi: 10.1159/000360560. [DOI] [PubMed] [Google Scholar]
- 43.Pober JS, Sessa WC. Evolving functions of endothelial cells in inflammation. Nat. Rev. Immunol. 2007;7:803–815. doi: 10.1038/nri2171. [DOI] [PubMed] [Google Scholar]
- 44.Kawanishi N, Yano H, Yokogawa Y, Suzuki K. Exercise training inhibits inflammation in adipose tissue via both suppression of macrophage infiltration and acceleration of phenotypic switching from M1 to M2 macrophages in high-fat-diet-induced obese mice. Exerc. Immunol. Rev. 2010;16:105–118. [PubMed] [Google Scholar]
- 45.Kamei N, et al. Overexpression of monocyte chemoattractant protein-1 in adipose tissues causes macrophage recruitment and insulin resistance. J. Biol. Chem. 2006;281:26602–26614. doi: 10.1074/jbc.M601284200. [DOI] [PubMed] [Google Scholar]
- 46.Schlueter N, et al. Metabolic actions of natriuretic peptides and therapeutic potential in the metabolic syndrome. Pharmacol. Ther. 2014;144:12–27. doi: 10.1016/j.pharmthera.2014.04.007. [DOI] [PubMed] [Google Scholar]
- 47.Konrad D, Wueest S. The gut-adipose-liver axis in the metabolic syndrome. Physiology (Bethesda). 2014;29:304–313. doi: 10.1152/physiol.00014.2014. [DOI] [PubMed] [Google Scholar]
- 48.Item F, Konrad D. Visceral fat and metabolic inflammation: the portal theory revisited. Obes. Rev. 2012;13:30–39. doi: 10.1111/j.1467-789X.2012.01035.x. [DOI] [PubMed] [Google Scholar]
- 49.Sui Y, et al. IKKβ links vascular inflammation to obesity and atherosclerosis. J. Exp. Med. 2014;211:869–886. doi: 10.1084/jem.20131281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Ketonen J, Shi J, Martonen E, Mervaala E. Periadventitial adipose tissue promotes endothelial dysfunction via oxidative stress in diet-induced obese C57BL/6 mice. Circ. J. 2010;74:1479–1487. doi: 10.1253/circj.CJ-09-0661. [DOI] [PubMed] [Google Scholar]
- 51.Szasz T, Webb RC. Perivascular adipose tissue: more than just structural support. Clin. Sci (Lond). 2012;122:1–12. doi: 10.1042/CS20110151. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Wang D, et al. Endothelial dysfunction and enhanced contractility in microvessels from ovariectomized rats: roles of oxidative stress and perivascular adipose tissue. Hypertension. 2014;63:1063–1069. doi: 10.1161/HYPERTENSIONAHA.113.02284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Brown NK, et al. Perivascular adipose tissue in vascular function and disease. Arterioscler. Thromb. Vasc. Biol. 2014;34:1621–1630. doi: 10.1161/ATVBAHA.114.303029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Schlaeger TM, Qin Y, Fugiwara Y, Magram J, Sato TN. Vascular endothelial cell lineage-specific promoter in transgenic mice. Development. 1995;121:1089–1098. doi: 10.1242/dev.121.4.1089. [DOI] [PubMed] [Google Scholar]
- 55.Arbuthnott E. Brown adipose tissue: structure and function. Proc. Nutr. Soc. 1989;48:177–182. doi: 10.1079/PNS19890027. [DOI] [PubMed] [Google Scholar]
- 56.Gersh I, Still MA. Blood vessels in fat tissue. Relation to problems of gas exchange. J. Exp. Med. 1945;81:219–232. doi: 10.1084/jem.81.2.219. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Hirata Y, et al. Hormonal and renal effects of atrial natriuretic peptide in patients with secondary hypertension. Circulation. 1998;78:1401–1410. doi: 10.1161/01.CIR.78.6.1401. [DOI] [PubMed] [Google Scholar]
- 58.Chusho H, et al. Genetic models reveal that brain natriuretic peptide can signal through different tissue-specific receptor-mediated pathways. Endocrinology. 2000;141:3807–3813. doi: 10.1210/endo.141.10.7692. [DOI] [PubMed] [Google Scholar]
- 59.Igaki T, et al. Effects of intravenously administered C-type natriuretic peptide in humans: comparison with atrial natriuretic peptide. Hypertens. Res. 1998;21:7–13. doi: 10.1291/hypres.21.7. [DOI] [PubMed] [Google Scholar]
- 60.Soeki T, et al. C-Type natriuretic peptide, a novel antifibrotic and antihypertrophic agent, prevents cardiac remodeling after myocardial infarction. J. Am. Coll. Cardiol. 2005;45:608–616. doi: 10.1016/j.jacc.2004.10.067. [DOI] [PubMed] [Google Scholar]
- 61.Kake T, et al. Chronically elevated plasma C-type natriuretic peptide level stimulates skeletal growth in transgenic mice. Am. J. Physiol. Endocrinol. Metab. 2009;297:E1339–1348. doi: 10.1152/ajpendo.00272.2009. [DOI] [PubMed] [Google Scholar]
- 62.Nakao K, et al. Endothelium-Derived C-type natriuretic peptide contributes to blood pressure regulation by maintaining endothelial integrity. Hypertension. 2017;69:286–296. doi: 10.1161/HYPERTENSIONAHA.116.08219. [DOI] [PubMed] [Google Scholar]
- 63.Moyes AJ, et al. Endothelial C-type natriuretic peptide maintains vascular homeostasis. J. Clin. Invest. 2014;214:4039–4051. doi: 10.1172/JCI74281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Rodbell M. Metabolism of isolated fat cells. J. Biol. Chem. 1964;239:375–380. [PubMed] [Google Scholar]
- 65.Bligh EG, Dyer WJ. A rapid method of total lipid extraction and purification. Can. J. Biochem. Physiol. 1959;37:911–917. doi: 10.1139/o59-099. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.