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Comparative Medicine logoLink to Comparative Medicine
. 2009 Jun;59(3):242–248.

Use of Fat-Fed Rats to Study the Metabolic and Vascular Sequelae of Obesity and β-Adrenergic Antagonism

Melinda Frye 1,†,*, Ivan McMurtry 1,, E Christopher Orton 3, Karen Fagan 2,§
PMCID: PMC2733295  PMID: 19619414

Abstract

Obesity-associated cardiovascular disease exerts profound human and monetary costs, creating a mounting need for cost-effective and relevant in vivo models of the complex metabolic and vascular interrelationships of obesity. Obesity is associated with endothelial dysfunction and inflammation. Free fatty acids (FFA), generated partly through β-adrenergic receptor-mediated lipolysis, may impair endothelium-dependent vasodilation (EDV) by proinflammatory mechanisms. β-Adrenergic antagonists protect against cardiovascular events by mechanisms not fully defined. We hypothesized that β antagonists may exert beneficial effects, in part, by inhibiting lipolysis and reducing FFA. Further, we sought to evaluate the fat-fed rat as an in vivo model of obesity-induced inflammation and EDV. Control and fat-fed rats were given vehicle or β antagonist for 28 d. Serum FFA were measured to determine the association to serum IL6, TNFα, and C-reactive protein and to femoral artery EDV. Compared with controls, fat-fed rats weighed more and had higher FFA, triglyceride, leptin, and insulin levels. Unexpectedly, in control and fat-fed rats, β antagonism increased FFA, yet inflammatory cytokines were reduced and EDV was preserved. Therefore, reduction of FFA is unlikely to be the mechanism by which β antagonists protect the endothelium. These results reflect the need for validation of ex vivo models of obesity-induced inflammation and endothelial dysfunction, concurrent with careful control of dietary fat composition and treatment duration.

Abbreviations: CRP, C-reactive protein; EDV, endothelium-dependent vasodilation; FFA, free fatty acids; FTI, flow–time integral; L-NAME, Nω-nitro-L-arginine methyl ester; MAP, mean arterial pressure; PKA, protein kinase A


The prevalence of overweight and obese adults in the United States has increased by almost 20% over the last 3 decades.36 Similar upward trends have been observed in persons between 6 and 19 y of age.37 The obesity epidemic extracts a monetary cost of more than $92 billion on medical care alone56 and a profound human price in the form of increased disease35 and higher death rates.50

Obese adults have a higher risk of morbidity and mortality due to cardiovascular disease.57 In health, endothelial cells that line the luminal surface of blood vessels release mediators that facilitate the appropriate regulation of multiple processes, including vascular permeability, inflammation and cell adhesion, coagulation, maintenance of intercellular matrix, lipid metabolism, and vascular reactivity.25,42 Dysregulation of these processes favors inflammation, coagulation, and vasoconstriction. Not surprisingly, endothelial dysfunction as measured by impairment of endothelium-dependent vasodilation (EDV) is an early and reliable predictor of cardiovascular events in humans.43,47

Obese persons have increased serum free fatty acids (FFA).1 Obesity14,53 and FFA13 are associated with increased circulating inflammatory markers, specifically IL6, TNFα, and C-reactive protein (CRP). In addition, both obesity32 and FFA8,46 are associated with impaired EDV, and FFA exert direct adverse inflammatory effects on the endothelium.18

Partly in response to stimulation of β-adrenergic receptors, FFA are the principle moiety secreted from adipocytes. β-Adrenergic antagonist drugs reduce morbidity and mortality in patients with coronary artery disease9,26 and affect both the myocardium2,38 and vasculature.5,51,55 The mechanisms by which β-adrenergic antagonists exert protection remain unclear, but reduced generation of FFA might play a role.

The first aim of the present study was to determine whether β antagonism lowers serum FFA in fat-fed rats and whether the magnitude and direction of change in FFA is correlated with circulating inflammatory markers and EDV. The β1- and β3-receptor subtypes predominantly mediate lipolysis in rodent adipose;12,30 however, to minimize the potential for compensatory upregulation of unopposed receptors in this study, the β1β2 antagonist propranolol was combined with the β3 antagonist SR59230A (Sigma-Aldrich, St Louis, MO) to exert antagonism at all 3 receptor subtypes. To test whether the high-fat dietary treatment was associated with a metabolic milieu consistent with obesity, serum triglycerides, leptin, glucose, and insulin concentrations were measured.

An inexpensive, valid, and physiologically relevant in vivo system would be valuable for studying the pandemic of obesity31 and related endothelial dysfunction.17 We are unaware of studies of whether long-term high-fat feeding affects in vivo EDV in the rat, although a study validating the use of high-resolution ultrasonography to measure in vivo flow-mediated vasodilation in normal rats was published recently.17 The second aim of our study was to investigate the fat-fed rat as a model of human diet-induced endothelial dysfunction. To retain the complex metabolic-vascular interplay that occurs in the intact organism, we used in vivo measures of EDV to assess the integrated physiologic response. In humans, the dilator response of peripheral vessels is associated with coronary EDV response.48 We studied the rat femoral artery, with the aim of demonstrating changes in vasodilator responses in this easily isolated peripheral vascular bed.

Materials and Methods

Animals.

Adult male Sprague–Dawley rats (CD IGS Rat, Charles River Laboratories, Wilmington, MA) were housed in environmentally controlled rooms with 12:12-h light:dark cycles. The study protocol was approved by the University of Colorado Health Sciences Center Animal Care and Use Committee.

Diets.

Preliminary feeding studies using the treatment diet revealed an association between high-fat feeding and increased serum FFA (P < 0.001) and body weight (P < 0.001), despite an average of 27% less dietary consumption by weight in the fat-fed group (data not shown). Ad libitum dietary treatment (continuation of normal diet or introduction of high-fat diet) was initiated at 1 mo of age and continued for 16 wk. The pelleted high-fat diet (Harlan Teklad, Madison, WI) was composed of 41.7% kcal from fat (33.4% kcal from lard, 8.4% kcal from soybean oil), 38.6% kcal from carbohydrate, and 19.7% kcal from protein (metabolizable energy, 4.3 kcal/g). Diets of similar percentage fat composition have been associated with in vitro vascular dysfunction in diabetic21 and normal11 rats. Further, insulin-resistant rats fed a diet high in soybean oil manifested endothelial dysfunction in isolated renal arteries.10 The diet did not contain vitamin C. Vitamin E concentrations were minimized to approximate the nutrient requirements for rats so benefits of exogenous antioxidants on EDV were minimized. The standard control diet (Harlan Teklad) had the following composition: 14% kcal from fat, 60% kcal from carbohydrate, and 26% kcal from protein (metabolizable energy, 3.8 kcal/g). Approximately 55% of the total fat was contributed by soybean oil, with the remaining fat contributed by corn, wheat, and fish (approximately 20%, 16%, and 7%, respectively).

Preexperimental and anesthetic protocol.

Rats were assigned to 1 of 6 groups: control (no vehicle pellet); control + vehicle; control + β antagonist; high-fat (no vehicle pellet); high-fat + vehicle; high-fat + β antagonist. Vehicle pellets were composed only of biologically inert matrix material (that is cholesterol, cellulose, lactose, phosphates, and stearates). Treatment pellets were generated by direct incorporation of active drugs into the same inert matrix. For each treatment, 8 rats were used for serum and tissue sampling, and 8 rats were used for measurement of EDV. Vehicle or combined β-antagonist treatments were delivered by slow-release pellets (Innovative Research of America, Sarasota, FL) implanted at week 12 of the 16-wk dietary intervention. The dosage of the β1β2 antagonist propranolol was 0.1 mg/kg daily, and the β3 antagonist SR59230A was administered at a dose of 1 mg/kg daily (Sigma–Aldrich, St Louis, MO). Doses were based on acute inhibition of isoproterenol-stimulated lipolysis in preliminary studies (data not shown) and on previously reported work.49 Anticipating increased serum inflammatory cytokine concentrations with vehicle pellet implantation alone, rats that received dietary treatment only (that is, no surgical intervention) were used as control animals in cytokine analyses.

Rats were fasted overnight, and body weights were measured prior to anesthesia. General anesthesia was induced with intraperitoneal ketamine (80 mg/kg) and xylazine (12 mg/kg), and supplemental doses were given as needed for anesthesia maintenance; 95% O2–5% CO2 was delivered by mask. To minimize the effects of handling and endogenous catecholamine release, a 30-min equilibration time was allowed prior to measurement of EDV.

Hemodynamic indices and endothelium-dependent vasodilation.

Instrumentation was adapted from approaches outlined previously.40 The left carotid artery was catheterized with polyethylene-10 tubing attached to a pressure transducer and data analysis software (Biopac Systems, Goleta, CA) for recording of mean arterial pressure (MAP). The distal aorta was cannulated via retrograde advancement of polyethylene-50 tubing through the left femoral artery, with the catheter tip positioned at the aortic bifurcation. A microport connected to the distal end of this catheter was used for drug infusion. The catheter was of sufficient diameter to occlude the artery; thus, drugs necessarily flowed into the right femoral artery. Blood flow in the right femoral artery was measured by a perivascular 0.5-mm flow probe attached to the flow sensor (Transonic Systems, Ithaca, NY). This is a modification of the published approach,40 which describes cannulation of a small branch of the femoral artery for infusion, at a location distal to the flow probe. Resistance was calculated as MAP divided by flow. Because the small arteries and arterioles are the principle contributors to peripheral resistance, changes in flow measured by using this protocol did not reflect changes in tone in the conduit femoral artery per se but rather those in the downstream resistance arteries.

We characterized EDV by measuring flow changes in response to the vasodilator acetylcholine (Sigma–Aldrich). Cumulative doses of acetylcholine (0.25, 0.75, 2.5 μg/kg) were injected through the left femoral microport at 10-min intervals. Response to acetylcholine, termed the flow–time integral (FTI), was defined as the area under the flow–time curve7 in milliliters from the time of injection to the time at which the flow reached a plateau, defined as the time at which flow remained unchanged for ≥ 90 s (Figure 1). To validate the model, preliminary work was conducted to establish an FTI acetylcholine dose–response, and the portion of the response attributable to nitric oxide was quantitated by measuring attenuation by Nω-nitro-L-arginine methyl ester (L-NAME), an inhibitor of nitric oxide synthase (Sigma–Aldrich). Further, endothelium-independent vasodilation was characterized by measuring the FTI in response to the nitric oxide donor sodium nitroprusside (Sigma–Aldrich).

Figure 1.

Figure 1.

Flow data in response to a single injection of acetylcholine (black arrow). Red line represents plateau in flow curve. The area under the flow curve that lies between the acetylcholine injection and the plateau is used to quantitate FTI in milliliters and is outlined in black.

After the FTI in response to 0.25, 0.75, 2.5 μg/kg acetylcholine were measured, the dose response was repeated 10 min after a 10-min infusion of 10 mg/kg L-NAME. The difference in FTI before and after L-NAME was determined and expressed as ΔFTI. After a second equilibration period, 5.2 mg sodium nitroprusside was administered. Because this treatment caused a profound decrease in MAP, the absolute change in resistance as well as the percentage change from preadministration values were calculated to quantitate the endothelium-independent vasodilatory response.

Implantation of subcutaneous pellets.

General anesthesia was induced with isofluorane. The interscapular space was prepared for aseptic surgery, and a 0.5-cm incision in the skin was made. The pellets were placed in the subcutaneous space approximately 3 cm caudal to the incision and 3 cm apart. Bleeding was minimal and controlled with local pressure.

Procurement and processing of serum samples.

Blood was aspirated by direct cardiocentesis through a medial sternotomy. Samples were placed in serum separator tubes, allowed to clot at room temperature for 2 h, and then centrifuged at 90,000 × g for 15 min. Serum aliquots were stored at −80 °C.

Serum triglyceride levels were measured by enzymatic glycerol-blanked methodology.54 Serum leptin and insulin concentrations were measured at the University of Colorado General Clinical Research Center Laboratory by using rat leptin and insulin radioimmunoassay kits (Linco Research, St Charles, MO). Serum glucose was measured at the University of Colorado Clinical Laboratory by oxygen-depletion enzymatic methodology.

Serum FFA were measured by using an enzymatic calorimetric kit (NEFA-C, Wako Chemicals USA, Richmond, VA).6 Both IL6 and TNFα were quantitated by ELISA (BioSource International, Camarillo, CA). Serum CRP was determined by using an immunoturbidimetric assay (Turbitex CRP Ultra, Biocon, Rockville, MD).

Data analysis.

Analyses were conducted by using Prism 4.0 for Macintosh (Graphpad Software, San Diego, CA). Unpaired t tests and 1-way ANOVA were used to compare normal populations. When nonnormal data was not resolved with transformation, the Mann–Whitney or Kruskal–Wallis nonparametric tests were used. When the overall ANOVA P value was less than 0.05, the Tukey method of multiple comparisons was applied.

Data measured in response to progressively larger doses of acetylcholine (that is, FTI) were analyzed by using 2-way ANOVA for repeated measures. The Bonferroni posttest was used to compare individual means.

Pearson and Spearman correlations were applied to normal and nonnormal data, respectively. Data are expressed as mean ± SE, and statistical significance set at a P level of less than 0.05.

Results

Body weight and serum metabolic parameters.

Body weight and metabolic data are provided in Table 1. High-fat feeding was associated with increased body weight in vehicle animals. Rats given β-adrenergic antagonists had a further increase in body weight when compared with vehicle rats in both control and fat-fed groups.

Table 1.

Body weight and serum metabolic indices

Control
Fat-fed
Vehicle β antagonist Vehicle β antagonist
Body weight (g) 413 ± 12 536 ± 21a 592 ± 26b 692 ± 21a
Triglycerides (mg/dL) 45.1 ± 6.4 66.7 ± 9.9 160 ± 21.2c 190 ± 30.6
Leptin (ng/mL) 1.24 ± .16 2.01 ± 0.45 13.22 ± 1.16b 13.8 ± 1.80
Glucose (mg/dL) 201 ± 23 243 ± 18 273 ± 14 301 ± 17
Insulin (ng/mL) 0.11 ± 0.01 0.19 ± 0.02a 0.31 ± 0.04c 0.32 ± 0.02

Values are shown as mean ± SE.

a

P < 0.01 when compared with corresponding vehicle group

b

P < 0.001 compared with control vehicle group

c

P < 0.01 compared with control vehicle group

High-fat–fed rats had higher serum triglycerides than did the controls (Table 1). Treatment with β-adrenergic antagonist did not alter triglyceride levels when compared with respective vehicle groups. The same trend was observed in serum leptin levels: high-fat feeding was associated with increased concentrations, but β-adrenergic antagonist treatment did not have an added effect. Serum glucose concentrations were similar among all treatment groups; however, serum insulin levels were increased in fat-fed animals. β-Adrenergic antagonist treatment was associated with increased serum insulin levels in control, but not fat-fed, rats.

High-fat feeding was associated with increased serum FFA in vehicle rats (Table 1). Counter to expectations, serum FFA were higher in both control and obese rats that received β-adrenergic antagonist treatment compared with vehicle rats (Figure 2). There was a weak positive correlation between body weight and serum FFA (Spearman r = 0.52; P = 0.0001).

Figure 2.

Figure 2.

High-fat feeding resulted in higher serum FFA in vehicle rats (P < 0.05). β-Adrenergic antagonism was associated with increased serum FFA in both control (+, P < 0.01) and fat-fed (*, P < 0.05) rats.

Inflammation.

Serum TNFα, IL6, and CRP data are shown in Figure 3. High-fat feeding was not associated with increased serum cytokines; in fact, a trend toward decreased cytokine concentrations in fat-fed rats emerged, with the change in serum CRP being significant (P < 0.001). Vehicle pellet implantation alone often was associated with increased cytokine concentrations. Cytokines were reduced variably in rats that received β-adrenergic antagonist treatment. Positive correlation between serum FFA and cytokine concentrations was not present.

Figure 3.

Figure 3.

(A) Serum TNFα. TNFα concentrations were reduced in control rats that received β-adrenergic antagonist treatment. +, P < 0.01. (B) Serum IL6. IL6 concentrations were reduced in control rats that received β-adrenergic antagonist treatment. +, P < 0.01. (C) Serum CRP. β-Adrenergic antagonist treatment reduced CRP in both control and fat-fed rats. #, P < 0.001; *, P < 0.05.

Hemodynamic indices and endothelium-dependent vasodilation.

Baseline MAP, flow, resistance, and heart rate were unchanged by high-fat feeding (data not shown). Similarly, neither the FTI nor ΔFTI were changed by high-fat feeding (Figure 4). The FTI and Δ FTI were not altered by β-adrenergic antagonist treatment in either control or fat-fed animals.

Figure 4.

Figure 4.

Femoral artery FTI in response to saline and acetylcholine. (A) Control and (B) fat-fed rats with vehicle pellets are compared with those that received β-adrenergic antagonist pellets. The increase in FTI with β-adrenergic antagonism was not significant (control, P < 0.11; fat-fed, P < 0.17).

The absolute change in resistance and percentage change from baseline with sodium nitroprusside administration were not significantly different between groups.

Discussion

High-fat dietary treatment was associated with increased body weight and higher serum FFA concentrations. This effect was accompanied by a metabolic profile reflecting the obese state; namely, hypertriglyceridemia, hyperleptinemia, and hyperinsulinemia. Unexpectedly, fat-fed rats did not have higher serum inflammatory markers or attenuated EDV. Also counter to expectations, β-adrenergic antagonism was associated with increased serum FFA, but with a concomitant decrease in serum inflammatory markers, in both lean and obese rats. Furthermore in both dietary groups, rats that received β-adrenergic antagonist treatment had preserved EDV despite increased FFA.

Although much information exists regarding the effects of β-adrenergic modulation on lipolysis and serum triglycerides, very little is known about the effects of long-term β-adrenergic antagonism on serum FFA. In the present study, elevated FFA with β-adrenergic antagonism may have been due to compensatory activation of alternative lipolytic pathways. The adenylyl cyclase–protein kinase A (PKA) pathway recruited for β-mediated lipolysis is also stimulated and inhibited by β-independent factors.28 In addition, a report of fasting lipolysis in mice lacking adipose β-adrenergic receptors23 suggests that alternate pathways of sympathetic nervous system-mediated lipolysis exist. Moreover, there is evidence of β-mediated, PKA-independent lipolysis involving the ERK–MAPK pathway,41,45 as well as a β- and PKA-independent pathway mediated by atrial natriuretic peptide in humans.44 Alternative lipolytic systems, and the degree to which compensatory regulation of these pathways may occur, remain to be elucidated.

The principle cause of increased FFA seen with β-adrenergic antagonism in the present study may have been attenuation of brown fat thermogenesis, a process that requires fatty acid utilization. In brown adipose, stimulation of the β3-adrenergic receptor enhances thermogenesis by increasing uncoupling proteins.52 Consistent with this, administration of the β3-adrenergic agonist CL316243 produced a profound decrease in FFA in obese Zucker rats.27 The change in FFA in response to this potent lipolytic agent occurred despite decreased body weight and white adipose mass (that is increased white adipose lipolysis) and was attributed to the profound increase in fatty acid oxidation in the brown adipose. Consistent with this idea, obese rats given CL316243 had brown fat hypertrophy and increased factors associated with fatty acid oxidation.20 In the present study, exposure to β-adrenergic antagonists may have had the opposite effect, resulting in attenuated white adipose lipolysis with a relatively larger inhibition of fatty acid uptake and oxidation in the brown adipose, producing a net increase in serum FFA.

The lack of association of high-fat feeding with increased CRP, IL6, or TNFα in this study lies in contrast to increased inflammatory cytokine concentrations observed in obese humans14,53 and genetically obese rats19 but is consistent with a study that failed to observe increased plasma TNFα concentrations in rats fed a 35% kcal fat diet for 10 wk.3 Differences in rodent models (that is, rats genetically prone to obesity versus normal rats that are fat-fed) render extrapolation difficult; however, it should be considered that rodent models of dietary obesity may not reflect the proinflammatory obese state in humans. Alternatively, different dietary fatty acid composition29 or greater dietary fat content (that is 50% kcal fat)4 might have augmented the inflammatory response. Indeed, a 10% reduction in dietary fat to 30% kcal corrected the insulin insensitivity induced by a 40% kcal fat diet;16 it is reasonable to consider that dietary fat content may similarly affect other sequelae of high-fat feeding.

Unexpectedly, increased FFA, associated with either high-fat feeding or β antagonism, did not attenuate EDV. This observation may be related to our findings that suggest β antagonists have antiinflammatory action. This result is consistent with a report of reduced TNFα gene expression and protein production in infarcted rat myocardium after metoprolol treatment39 and with the association of β antagonism and reduced CRP in patients with cardiovascular disease.22 Therefore, β-adrenergic antagonism may reduce the inflammatory response to elevated circulating FFA.

The absence of endothelial dilator dysfunction with high-fat feeding and increased adiposity observed in this study lies in contrast to published work describing the effect of short-term high-fat feeding on isolated arterial rings.33 As with inflammation, differences in the dietary fatty acid composition or absolute fat content may account for the apparent discrepancies between studies of diet and endothelial function.29 Short-term high-fat dietary treatment attenuates ex vivo EDV in rats in the absence of concomitant obesity,33 lending support to the idea that diet-derived fats and their composition may determine EDV. Consistent with the idea that exogenous fatty acids impact EDV, measurement of dilator function postprandially may reveal greater dysfunction.

Lastly, the lack of aberrant EDV with high-fat feeding may reflect a lack of measurable response to this condition in this particular vascular bed. Vasodilatory mechanisms are highly specific to stimulus and to the location and size of the vessel.15,34,58 Although the flow response used to quantitate EDV in this study perhaps was not sufficiently sensitive, the trend toward improved EDV with β-adrenergic antagonism observed in both dietary treatment groups (control, P < 0.11; fat-fed, P < 0.17) is consistent with known beneficial effects of these agents on rat vasculature.24 Given the inherent variability, contributed by both subject and investigator, of prolonged in vivo flow determination studies, a larger sampling size will be required to determine significance. Because 2-way repeated-measures ANOVA did not indicate an interaction effect, power analysis was conducted by averaging over dose. The FTI data for each of the 4 treatment groups were analyzed by using 2-sample unequal-variance t tests, and within-group standard deviations were estimated from the observed data. If a biologically relevant true mean difference of 40 mL between treatments is assumed, then a sample size of 14 fat-fed rats and 27 control rats would be required to achieve 0.80 power.

In conclusion, we found that β-adrenergic antagonism unexpectedly increased serum FFA in both control and fat-fed rats, but EDV was unchanged, and inflammatory cytokine concentrations were reduced. If FFA contribute to endothelial dilator dysfunction in obesity, then β-adrenergic antagonist treatment may attenuate the proinflammatory effects of FFA, a protective mechanism unrelated to a direct reduction in serum FFA concentrations. The absence of inflammation and attenuation of EDV with 16 wk of a moderate fat diet indicates that further investigation of in vivo effects of targeted dietary treatment is warranted, so that functional changes can be assessed in light of systems interrelationships in the intact animal.

Efficient, feasible, and clinically relevant study of the obesity epidemic requires a reliable in vivo model that can be subjected to repeated measures and interventions reflective of the human condition. Studies of ex vivo EDV must be validated in the intact rat, and dietary composition must be controlled carefully and representative of dietary intake in affected humans. To this end, long-term studies are in progress to compare the effects of varied dietary fat composition on cardiovascular inflammation and apoptosis in rats. In addition, the noninvasive modality of ultrasonography is being used to perform sequential echocardiographic studies of cardiac systolic and diastolic function and to investigate the measurement of flow-mediated vasodilation of peripheral arteries.

Acknowledgments

The authors would like to acknowledge Ken Morris and Scott Golembeski for sharing technical expertise, Dr Ethan Carter for providing the Transonic flowmeter used in the study, and Dr Phillip Chapman for providing statistical consultation. This work was supported by an American Heart Association Beginning Grant-In-Aid.

References

  • 1.Abadie JM, Malcom GT, Porter JR, Svec F. 2001. Can associations between free fatty acid levels and metabolic parameters determine insulin resistance development in obese Zucker rats? Life Sci 69:2675–2683 [DOI] [PubMed] [Google Scholar]
  • 2.Acanfora D, Pinna GD, Gheorghiade M, Trojano L, Furgi G, Maestri R, Picone C, Iannuzzi GL, Marciano F, Rengo F. 2000. Effect of β blockade on the premature ventricular beats–heart rate relation and heart rate variability in patients with coronary heart disease and severe ventricular arrhythmias. Am J Ther 7:229–236 [DOI] [PubMed] [Google Scholar]
  • 3.Bedoui S, Velkoska E, Bozinovski S, Jones JE, Anderson GP, Morris MJ. 2005. Unaltered TNFα production by macrophages and monocytes in diet-induced obesity in the rat. J Inflamm (Lond) 2:2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Borst SE, Conover CF. 2005. High-fat diet induces increased tissue expression of TNFα. Life Sci 77:2156–2165 [DOI] [PubMed] [Google Scholar]
  • 5.Brehm BR, Bertsch D, von Fallois J, Wolf SC. 2000. β blockers of the third generation inhibit endothelin 1 liberation, mRNA production, and proliferation of human coronary smooth muscle and endothelial cells. J Cardiovasc Pharmacol 36:S401–S403 [DOI] [PubMed] [Google Scholar]
  • 6.Commerford SR, Pagliassotti MJ, Melby CL, Wei Y, Gayles EC, Hill JO. 2000. Fat oxidation, lipolysis, and free fatty acid cycling in obesity-prone and obesity-resistant rats. Am J Physiol Endocrinol Metab 279:E875–E885 [DOI] [PubMed] [Google Scholar]
  • 7.De Vriese AS, Blom HJ, Heil SG, Mortier S, Kluijtmans LA, Van de Voorde J, Lameire NH. 2004. Endothelium-derived hyperpolarizing factor-mediated renal vasodilatory response is impaired during acute and chronic hyperhomocysteinemia. Circulation 109:2331–2336 [DOI] [PubMed] [Google Scholar]
  • 8.Egan BM, Lu G, Greene EL. 1999. Vascular effects of nonesterified fatty acids: implications for the cardiovascular risk factor cluster. Prostaglandins Leukot Essent Fatty Acids 60:411–420 [DOI] [PubMed] [Google Scholar]
  • 9.Freemantle N, Cleland J, Young P, Mason J, Harrison J. 1999. β blockade after myocardial infarction: systematic review and meta regression analysis. Br Med J 318:1730–1737 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Gao Y, Song GY, Ma HJ, Zhang WJ, Zhou Y. 2007. Effects of long-term high-saturated and unsaturated fatty acid diets on relaxation and contraction of renal arteries in insulin-resistant rats. Sheng Li Xue Bao 59:363–368 [PubMed] [Google Scholar]
  • 11.Gerber RT, Holemans K, O'Brien-Coker I, Mallet A, van Bree R, Van Assche FA, Poston L. 1999. Cholesterol-independent endothelial dysfunction in virgin and pregnant rats fed a diet high in saturated fat. J Physiol 517:607–616 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Germack R, Starzec AB, Vassy R, Perret GY. 1997. β adrenoceptor subtype expression and function in rat white adipocytes. Br J Pharmacol 120:201–210 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Ghanim H, Aljada A, Hofmeyer D, Syed T, Mohanty P, Dandona P. 2004. Circulating mononuclear cells in the obese are in a proinflammatory state. Circulation 110:1564–1571 [DOI] [PubMed] [Google Scholar]
  • 14.Glowinska B, Urban M. 2003. [Selected cytokines (IL6, IL8, IL10, MCP1, TNFα) in children and adolescents with atherosclerosis risk factors: obesity, hypertension, diabetes] Wiad Lek 56:109–116 [Article in Polish]. [PubMed] [Google Scholar]
  • 15.Golding EM, Marrelli SP, You J, Bryan RM., Jr 2002. Endothelium-derived hyperpolarizing factor in the brain: a new regulator of cerebral blood flow? Stroke 33:661–663 [PubMed] [Google Scholar]
  • 16.Harris RB, Kor H. 1992. Insulin insensitivity is rapidly reversed in rats by reducing dietary fat from 40% to 30% of energy. J Nutr 122:1811–1822 [DOI] [PubMed] [Google Scholar]
  • 17.Heiss C, Sievers RE, Amabile N, Momma TY, Chen Q, Natarajan S, Yeghiazarians Y, Springer ML. 2008. In vivo measurement of flow-mediated vasodilation in living rats using high-resolution ultrasound. Am J Physiol Heart Circ Physiol 294:H1086–H1093 [DOI] [PubMed] [Google Scholar]
  • 18.Hennig B, Meerarani P, Ramadass P, Watkins BA, Toborek M. 2000. Fatty acid-mediated activation of vascular endothelial cells. Metabolism 49:1006–1013 [DOI] [PubMed] [Google Scholar]
  • 19.Hikita M, Bujo H, Yamazaki K, Taira K, Takahashi K, Kobayashi J, Saito Y. 2000. Differential expression of lipoprotein lipase gene in tissues of the rat model with visceral obesity and postprandial hyperlipidemia. Biochem Biophys Res Commun 277:423–429 [DOI] [PubMed] [Google Scholar]
  • 20.Himms-Hagen J, Cui J, Danforth E, Jr, Taatjes DJ, Lang SS, Waters BL, Claus TH. 1994. Effect of CL316,243, a thermogenic β3 agonist, on energy balance and brown and white adipose tissues in rats. Am J Physiol 266:R1371–R1382 [DOI] [PubMed] [Google Scholar]
  • 21.Holemans K, Gerber R, O'Brien-Coker I, Mallet A, van Bree R, van Assche FA, Poston L. 2000. Raised saturated-fat intake worsens vascular function in virgin and pregnant offspring of streptozotocin-diabetic rats. Br J Nutr 84:285–296 [PubMed] [Google Scholar]
  • 22.Jenkins NP, Keevil BG, Hutchinson IV, Brooks NH. 2002. β blockers are associated with lower C-reactive protein concentrations in patients with coronary artery disease. Am J Med 112:269–274 [DOI] [PubMed] [Google Scholar]
  • 23.Jimenez M, Leger B, Canola K, Lehr L, Arboit P, Seydoux J, Russell AP, Giacobino JP, Muzzin P, Preitner F. 2002. β1/β2/β3-adrenoceptor knockout mice are obese and cold-sensitive but have normal lipolytic responses to fasting. FEBS Lett 530:37–40 [DOI] [PubMed] [Google Scholar]
  • 24.Kakoki M, Hirata Y, Hayakawa H, Nishimatsu H, Suzuki Y, Nagata D, Suzuki E, Kikuchi K, Nagano T, Omata M. 1999. Effects of vasodilatory β adrenoceptor antagonists on endothelium-derived nitric oxide release in rat kidney. Hypertension 33:467–471 [DOI] [PubMed] [Google Scholar]
  • 25.Kharbanda RK, Deanfield JE. 2001. Functions of the healthy endothelium. Coron Artery Dis 12:485–491 [DOI] [PubMed] [Google Scholar]
  • 26.Link N, Slater W. 2001. Coronary artery disease: part 2. Treatment. West J Med 174:330–335 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Liu X, Perusse F, Bukowiecki LJ. 1998. Mechanisms of the antidiabetic effects of the β3-adrenergic agonist CL316243 in obese Zucker–ZDF rats. Am J Physiol 274:R1212–R1219 [DOI] [PubMed] [Google Scholar]
  • 28.Londos C, Brasaemle DL, Schultz CJ, Adler-Wailes DC, Levin DM, Kimmel AR, Rondinone CM. 1999. On the control of lipolysis in adipocytes. Ann N Y Acad Sci 892:155–168 [DOI] [PubMed] [Google Scholar]
  • 29.Lopez-Garcia E, Schulze MB, Meigs JB, Manson JE, Rifai N, Stampfer MJ, Willett WC, Hu FB. 2005. Consumption of trans fatty acids is related to plasma biomarkers of inflammation and endothelial dysfunction. J Nutr 135:562–566 [DOI] [PubMed] [Google Scholar]
  • 30.Louis SN, Jackman GP, Nero TL, Iakovidis D, Louis WJ. 2000. Role of β-adrenergic receptor subtypes in lipolysis. Cardiovasc Drugs Ther 14:565–577 [DOI] [PubMed] [Google Scholar]
  • 31.Manson JE, Skerrett PJ, Greenland P, VanItallie TB. 2004. The escalating pandemics of obesity and sedentary lifestyle. A call to action for clinicians. Arch Intern Med 164:249–258 [DOI] [PubMed] [Google Scholar]
  • 32.Mather KJ, Lteif A, Steinberg HO, Baron AD. 2004. Interactions between endothelin and nitric oxide in the regulation of vascular tone in obesity and diabetes. Diabetes 53:2060–2066 [DOI] [PubMed] [Google Scholar]
  • 33.Naderali EK, Williams G. 2001. Effects of short-term feeding of a highly palatable diet on vascular reactivity in rats. Eur J Clin Invest 31:1024–1028 [DOI] [PubMed] [Google Scholar]
  • 34.Nagao T, Illiano S, Vanhoutte PM. 1992. Heterogeneous distribution of endothelium-dependent relaxations resistant to NG-nitro-L-arginine in rats. Am J Physiol 263:H1090–H1094 [DOI] [PubMed] [Google Scholar]
  • 35.Nanchahal K, Morris JN, Sullivan LM, Wilson PW. 2005. Coronary heart disease risk in men and the epidemic of overweight and obesity. Int J Obes (Lond) 29:317–323 [DOI] [PubMed] [Google Scholar]
  • 36.Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. 2006. Prevalence of overweight and obesity in the United States, 1999–2004. J Am Med Assoc 295:1549–1555 [DOI] [PubMed] [Google Scholar]
  • 37.Ogden CL, Flegal KM, Carroll MD, Johnson CL. 2002. Prevalence and trends in overweight among US children and adolescents, 1999–2000. J Am Med Assoc 288:1728–1732 [DOI] [PubMed] [Google Scholar]
  • 38.Packer M, Antonopoulos GV, Berlin JA, Chittams J, Konstam MA, Udelson JE. 2001. Comparative effects of carvedilol and metoprolol on left ventricular ejection fraction in heart failure: results of a meta-analysis. Am Heart J 141:899–907 [DOI] [PubMed] [Google Scholar]
  • 39.Prabhu SD, Chandrasekar B, Murray DR, Freeman GL. 2000. β-adrenergic blockade in developing heart failure: effects on myocardial inflammatory cytokines, nitric oxide, and remodeling. Circulation 101:2103–2109 [DOI] [PubMed] [Google Scholar]
  • 40.Rao SP, Collins HL, DiCarlo SE. 2002. Postexercise α-adrenergic receptor hyporesponsiveness in hypertensive rats is due to nitric oxide. Am J Physiol Regul Integr Comp Physiol 282:R960–R968 [DOI] [PubMed] [Google Scholar]
  • 41.Robidoux J, Kumar N, Daniel KW, Moukdar F, Cyr M, Medvedev AV, Collins S. 2006. Maximal β3-adrenergic regulation of lipolysis involves Src and epidermal growth factor receptor-dependent ERK1/2 activation. J Biol Chem 281:37794–37802 [DOI] [PubMed] [Google Scholar]
  • 42.Sato Y. 2001. Current understanding of the biology of vascular endothelium. Cell Struct Funct 26:9–10 [DOI] [PubMed] [Google Scholar]
  • 43.Schachinger V, Britten MB, Zeiher AM. 2000. Prognostic impact of coronary vasodilator dysfunction on adverse long-term outcome of coronary heart disease. Circulation 101:1899–1906 [DOI] [PubMed] [Google Scholar]
  • 44.Sengenes C, Bouloumie A, Hauner H, Berlan M, Busse R, Lafontan M, Galitzky J. 2003. Involvement of a cGMP-dependent pathway in the natriuretic peptide-mediated hormone-sensitive lipase phosphorylation in human adipocytes. J Biol Chem 278:48617–48626 [DOI] [PubMed] [Google Scholar]
  • 45.Soeder KJ, Snedden SK, Cao W, Della Rocca GJ, Daniel KW, Luttrell LM, Collins S. 1999. The β3-adrenergic receptor activates mitogen-activated protein kinase in adipocytes through a Gi-dependent mechanism. J Biol Chem 274:12017–12022 [DOI] [PubMed] [Google Scholar]
  • 46.Steinberg HO, Tarshoby M, Monestel R, Hook G, Cronin J, Johnson A, Bayazeed B, Baron AD. 1997. Elevated circulating free fatty acid levels impair endothelium-dependent vasodilation. J Clin Invest 100:1230–1239 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Suwaidi JA, Hamasaki S, Higano ST, Nishimura RA, Holmes DR, Jr, Lerman A. 2000. Long-term follow-up of patients with mild coronary artery disease and endothelial dysfunction. Circulation 101:948–954 [DOI] [PubMed] [Google Scholar]
  • 48.Takase B, Hamabe A, Satomura K, Akima T, Uehata A, Ohsuzu F, Ishihara M, Kurita A. 2005. Close relationship between the vasodilator response to acetylcholine in the brachial and coronary artery in suspected coronary artery disease. Int J Cardiol 105:58–66 [DOI] [PubMed] [Google Scholar]
  • 49.Traunecker W. 1985. Metabolic effects of various β-adrenoceptor blocking agents in rats and dogs. Arzneimittelforschung 35:376–382 [PubMed] [Google Scholar]
  • 50.Tsai SP, Donnelly RP, Wendt JK. 2006. Obesity and mortality in a prospective study of a middle-aged industrial population. J Occup Environ Med 48:22–27 [DOI] [PubMed] [Google Scholar]
  • 51.Tzemos N, Lim PO, MacDonald TM. 2001. Nebivolol reverses endothelial dysfunction in essential hypertension: a randomized, double-blind, crossover study. Circulation 104:511–514 [DOI] [PubMed] [Google Scholar]
  • 52.Umekawa T, Yoshida T, Sakane N, Saito M, Kumamoto K, Kondo M. 1997. Antiobesity and antidiabetic effects of CL316,243, a highly specific β3-adrenoceptor agonist, in Otsuka Long–Evans Tokushima Fatty rats: induction of uncoupling protein and activation of glucose transporter 4 in white fat. Eur J Endocrinol 136:429–437 [DOI] [PubMed] [Google Scholar]
  • 53.Visser M, Bouter LM, McQuillan GM, Wener MH, Harris TB. 1999. Elevated C-reactive protein levels in overweight and obese adults. JAMA 282:2131–2135 [DOI] [PubMed] [Google Scholar]
  • 54.Weingand KW, Hudson CL. 1989. Accurate measurement of total plasma triglyceride concentrations in laboratory animals. Lab Anim Sci 39:453–454 [PubMed] [Google Scholar]
  • 55.Wiklund O, Hulthe J, Wikstrand J, Schmidt C, Olofsson SO, Bondjers G. 2002. Effect of controlled release/extended release metoprolol on carotid intima-media thickness in patients with hypercholesterolemia: a 3-year randomized study. Stroke 33:572–577 [DOI] [PubMed] [Google Scholar]
  • 56.Yach D, Stuckler D, Brownell KD. 2006. Epidemiologic and economic consequences of the global epidemics of obesity and diabetes. Nat Med 12:62–66 [DOI] [PubMed] [Google Scholar]
  • 57.Yan LL, Daviglus ML, Liu K, Stamler J, Wang R, Pirzada A, Garside DB, Dyer AR, Van Horn L, Liao Y, Fries JF, Greenland P. 2006. Midlife body mass index and hospitalization and mortality in older age. JAMA 295:190–198 [DOI] [PubMed] [Google Scholar]
  • 58.Zygmunt PM, Ryman T, Hogestatt ED. 1995. Regional differences in endothelium-dependent relaxation in the rat: contribution of nitric oxide and nitric oxide-independent mechanisms. Acta Physiol Scand 155:257–266 [DOI] [PubMed] [Google Scholar]

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