The aim of the present study was to evaluate and cor-relate islet to brown and white adipose tissue (WAT) blood perfusion in one obese rat and one nonobese rat with type 2 diabetes (obese Zucker [OZ] and GK rats, respectively). We measured blood perfusion with a microsphere technique in anesthetized animals and subsequently estimated the blood flow to seven different WAT depots and brown adipose tissue, in addition to the whole pancreas and pancreatic islets. Both GK and OZ rats had higher islet blood perfusion than their respective control strains. Adipose tissue blood flow (ATBF) was similar to or lower than that of controls in the normoglycemic OZ rats. GK rats, however, had 5–10 times higher blood perfusion than control Wistar rats in most WAT depots. Vascular density and macrophage numbers in WAT did not differ between the different strains. The discrepancy in ATBF between the obese-normoglycemic and type 2 diabetic rats opens the intriguing possibility that changes in this blood perfusion may influence and/or modulate the β-cell dysfunction in type 2 diabetes.

Obesity is a major worldwide health problem that is statistically associated with increased risk for cardiovascular disease, type 2 diabetes, and stroke (1,2). Obesity closely coexists with insulin resistance and endothelial dysfunction during the natural history of type 2 diabetes (3). It seems established that substances released from white adipose tissue (WAT), including free fatty acids (FFAs), leptin, interleukin 6, tumor necrosis factor-α (TNF-α), and adiponectin, may contribute to both insulin resistance, in muscle and WAT, and β-cell dysfunction (36).

Previous studies have demonstrated that pancreatic islet blood flow is increased during glucose intolerance and, at least initially, during type 2 diabetes (7,8). In this context, it is of interest that an impaired WAT blood flow has been linked to obesity and insulin resistance in humans (911). Furthermore, in the obese Zucker (OZ) rat, a decrease in WAT blood flow has been observed (12,13), while pancreatic islet blood flow is increased (14). The extraction of plasma triglycerides is probably influenced by WAT blood perfusion, which also facilitates signaling between adipose tissue and other tissues to regulate metabolism (15,16). In addition, the release of FFAs can be modulated by WAT blood flow (16). Thus, change in WAT blood flow can be expected to affect its own metabolic functions. To what extent such changes in adipose tissue function may affect islet blood flow and islet hormone release in general is at present unknown.

In view of the considerations presented above, we hypothesized that adiposity, especially in animal models of type 2 diabetes, may affect the blood perfusion of both WAT and the islets. The aim of the present study was therefore to correlate WAT and islet blood flow in one normoglycemic obese rat strain and one nonobese model of type 2 diabetes (the OZ rat and the GK rat, respectively). Both these rat strains have an increased islet blood flow (14,17,18). Macrophages have been suggested to infiltrate WAT; therefore, we investigated macrophage density.

Male Wistar or GK rats aged 3–4 months were purchased from B&M (Ry, Denmark), and similarly aged OZ or lean Zucker (LZ) rats (crl:ZUC-faBR) were purchased from Charles River Laboratories (Hannover, Germany). The animals had free access to food (Type R3; B&K, Sollentuna, Sweden) and water throughout the experiments. All experiments were approved by the local animal ethic committee at Uppsala University (Uppsala, Sweden). Chemicals were purchased from Sigma-Aldrich (Irvine, U.K.) unless otherwise stated.

Blood flow measurements.

The rats were anesthetized with an intraperitoneal injection of thiobutabarbital sodium (120 mg per kg body weight) (Inactin; Research Biochemicals, Natick, MA). The animals were then placed on a heated operating table to maintain body temperature at ∼38°C. Polyethylene catheters were inserted into the ascending aorta via the right carotid artery and into the left femoral artery and vein. The former catheter was connected to a pressure transducer (PDCR 75/1; Druck, Groby, U.K.), whereas the venous catheter was used to infuse Ringer solution (5 ml per kg body weight per h) to substitute fluid. When the blood pressure had remained stable for at least 20 min, blood flow measurements were performed with a microsphere technique as previously described (19). Briefly, 2.0 × 105 black nonradioactive microspheres (EZ-Trac; Triton Microspheres, San Diego, CA) with a diameter of 10 or 15 μm were injected through the catheter with its tip in the ascending aorta for 10 s. Starting 5 s before the microsphere injection, and continuing for a total of 60 s, an arterial blood sample was collected by free flow from the catheter in the femoral artery (∼0.6 ml/min). The exact withdrawal rate was confirmed in each experiment by weighing the sample. Arterial blood was used for determinations of hematocrit, glucose concentrations (MediSense, Stockholm, Sweden), and serum insulin concentrations (Rat Insulin ELISA; Mercodia, Uppsala, Sweden).

The animals were then killed and the pancreas and adrenal glands were removed, blotted, and weighed. Samples (∼100 mg) from the midregions of the duodenum and colon were also removed, blotted, and weighed. Furthermore, the whole psoas fat pads were dissected from surrounding tissues and weighed. Samples (100–200 mg each) of WAT were then taken intra-abdominally from the psoas fat, pancreatic/mesenteric fat, epididymal fat, and the posterior surface of the sternal xiphoid process. Subcutaneous WAT was sampled from the lower part of the abdominal wall, the throat, and the back (between the shoulder blades). Brown adipose tissue was also excised from the latter region.

The number of microspheres in the samples referred to above, including pancreatic islets, was counted as previously described (20). This enabled us to estimate the volume of the islets within the pancreas by a point-counting method (21) and thereby also estimate the islet mass. Organ blood flow values were calculated (19) and, with regard to islet blood perfusion, were expressed both per gram wet weight of the whole pancreas and the estimated wet weight of the islets themselves. Blood flow values based on the microsphere contents of the adrenal glands were used to confirm that the microspheres were adequately mixed in the circulation. A difference of <10% in the blood flow values was taken to indicate sufficient mixing.

Staining for Bandeiraea simplicifolia-1 (BS-1).

This method has previously been described in detail (22). Four-micrometer sections from formalin-fixed pancreas, brown adipose tissue and WAT from the psoas fat pad, pancreatic fat, and subcutaneous fat from the abdomen and back were studied. Briefly, the sections were incubated in neuroaminidase type V in 37°C for 2 h followed by washing in Tris-buffered saline. Biotinylated lectin against BS-1 1:100 was incubated at 4°C overnight. The sections were washed and incubated with Vectastain ABC kit (Vector Laboratories, Burlingame, CA) for 30 min. The reaction was developed using Alkaline Phosphatase Substrate Kit I (Vector Laboratories) for 10–30 min. Sections were counterstained with hematoxylin and mounted in Pertex (HistoLab, Gothenburg, Sweden).

Staining for ED-1/CD68.

Sections of 4 μm from formalin fixed brown adipose tissue and WAT from the psoas fat pad, pancreatic fat, and abdominal subcutaneous fat were studied. Incubation with peroxidase blocking reagent for 10 min was followed by rinsing in wash buffer. The sections were pretreated with proteinase K for 5 min. The CD68 antibody clone ED-1 (Serotec, Oxford, U.K.) diluted 1:1,000 was incubated for 30 min at room temperature followed by washing. The ChemMate EnVision detection kit was developed with diaminobenzidine before counterstaining with hematoxylin. The sections were dehydrated and mounted (Pertex; HistoLab). All reagents were from DAKO, Glostrup, Denmark.

Morphometrical evaluation.

Twelve or more randomly chosen tissue sections from each adipose tissue depot and animal were stained with either BS-1 (to visualize blood vessels) or ED-1 (to visualize macrophages). The numbers of stained blood vessels or macrophages were quantified in a light microscope (40× magnification). In each type of adipose tissue, ∼8 fields were counted (range 6–9). The area of the investigated tissue was determined by using a computerized system for morphometry (Easy Image 300; Tekno Optik, Huddinge, Sweden). Vascular density and macrophage numbers (i.e., the number of stained blood vessels or macrophages per measured adipose area [expressed as mm2] and/or per number of adipose cells) were then calculated.

Statistical calculations.

All values are given as means ± SE. Probabilities (P) of chance differences were calculated with Student’s unpaired t test, or with one-way repeated-measurement ANOVA with Tukey’s correction (SigmaStat; SSPD, Erfart, Germany) A value of P < 0.05 was considered to be statistically significant. Unless otherwise stated, comparisons were made between GK and Wistar rats or OZ and LZ rats, respectively.

General values (Table 1).

The OZ rats were markedly heavier than all other rats. The pancreas weight was similar in all groups with the exception of LZ, which had larger pancreata compared with the other groups. When pancreas weight was expressed as a fraction of body weight, this ratio was lower in OZ rats and higher in LZ rats when compared with the Wistar and GK rats.

The weight of the psoas fat pads was markedly higher in OZ rats when compared with all the other rats, whereas the fat pad weight in GK rats was higher than in Wistar rats. When the psoas fat pad weight was given as a fraction of the body weight, GK and OZ rats had values that were higher than for their corresponding control animals. No differences in psoas fat pad weight between GK and OZ rats were seen (ANOVA), whereas the value for LZ was lower than that for Wistar rats (P < 0.05; ANOVA).

Anesthetized OZ rats had slightly higher mean arterial blood pressures than LZ rats, while hematocrit was similar in all animals. Both islet volume density and islet mass were similar in Wistar, GK, and LZ rats, whereas the corresponding values were higher in OZ rats (P < 0.05 for all comparisons; ANOVA). The GK rats had the highest blood glucose concentrations, whereas serum insulin concentrations were highest in OZ rats.

Blood flow measurements.

Total pancreatic blood flow was similar in all groups of animals when the measurements were performed with 15-μm microspheres (Table 1). Islet blood flow expressed per gram pancreas was markedly higher in the OZ rats (Fig. 1A). When islet blood flow was expressed per milligram islet tissue to compensate for the differences in islet volume, the blood perfusion of OZ rats was higher when compared with LZ rats (Fig. 1B). There were no differences between GK and Wistar rats. However, GK rats had a higher total pancreatic and islet blood flow compared with Wistar rats when the blood flow measurements were performed with 10-μm microspheres (online appendix [available at http://diabetes.diabetesjournals.org]). When LZ and OZ rats were compared, islet blood flow was higher in the latter group. Pancreatic blood flow did not differ between LZ and OZ rats (online appendix).

It was a consistent finding in all rat strains examined that the WAT blood perfusion in general was low. The only exception was the blood flow to the subcutaneous fat on the throat, which was higher than that of other WAT depots in Wistar, GK, and OZ rats (P < 0.01 for all comparisons within these strains; ANOVA) (Fig. 2A) but not in LZ rats. No other regional differences between the studied sites were seen when comparisons were made within the strains. Neither were any significant differences between the blood perfusion of subcutaneous and intra-abdominal fat depots seen when intrastrain values were compared.

When the blood flow to WAT depots was compared between strains, GK rats had markedly higher blood perfusion in all depots when compared with WF (Fig. 2B and C and Fig. 2E and F), OZ, and LZ rats (P < 0.01 for all comparisons), with the exception of epididymal fat (Fig. 2D). Also, the blood flow to brown adipose tissue was higher in GK rats when compared with the other strains (Fig. 2H). In epididymal and dorsal subcutaneous fat, the blood perfusion was lower in OZ compared with LZ rats (Fig. 2C and D).

Duodenal and colonic blood flow values were of the same order of magnitude in the different strains. Adrenal blood flow was lower in OZ rats when compared with LZ rats (Table 1).

Morphological studies.

Staining with BS-1 made it easy to identify blood vessels in both pancreatic islets (Fig. 3A) and WAT (Fig. 3B). Islet vascular density was similar in Wistar and GK rats, while islets of OZ rats contained slightly more capillaries than LZ rats (Fig. 4A). When OZ rats were compared with WF or GK rats, no differences were seen (P > 0.7; ANOVA).

The vascular density was similar in WAT in all depots when Wistar and GK rats were compared (Fig. 4B). When LZ and OZ rats were compared, the density was markedly lower in the psoas fat pad of OZ rats (Fig. 4B). LZ and OZ rats had similar vascular density of pancreatic (P = 0.097), abdominal subcutaneous (P = 0.056), and dorsal subcutaneous fat (P > 0.25).

The size of individual fat cells in the different WAT depots varied. The number of fat cells per millimeter squared was similar in Wistar and GK rats (Fig. 5A), whereas the number of fat cells was much lower in OZ rats than in LZ rats in all depots investigated (Fig. 5A).

When calculating the number of microvessels per fat cell to compensate for strain-dependent differences in size of adipocytes, a somewhat different picture appeared (Fig. 5B). Thus, there were once again no differences between Wistar and GK rats. However, the blood perfusion per fat cell was much higher in all depots of OZ rats when compared with LZ rats except for dorsal subcutaneous WAT (Fig. 5B).

The CD68 antibody clone ED-1 made macrophages within the WAT easily distinguishable (Fig. 3C). The number of macrophages per millimeter squared was similar when the WAT depots were compared between Wistar and GK rats and LZ and OZ rats, respectively, with the exception of the psoas fat pad in GK rats, which contained fewer macrophages than Wistar rats (Fig. 6A). This value in GK rats was also lower than that observed in LZ rats (P = 0.01; ANOVA).

When the number of macrophages were calculated per adipocyte, the general finding was that there were minor differences when Wistar and GK rats were compared (Fig. 6B). However, the WAT depots of OZ rats contained more macrophages than those of LZ rats (Fig. 6B).

The major finding in the present study was that GK rats, a type 2 diabetes model, have higher adipose tissue blood perfusion in most depots, both when compared with control rats and normoglycemic markedly OZ rats. This opens the intriguing possibility that changes in adipose tissue blood flow (ATBF) may influence and/or modulate the β-cell dysfunction in type 2 diabetes, perhaps by altering the storage and release of lipids.

In the present study we could, as expected, verify the massive obesity of the OZ rat. These animals are leptin resistant due to a receptor point mutation (23). The insulin resistance in OZ rats can, at least initially, be compensated for by hyperinsulinemia, so the animals remain normoglycemic. This was reflected in a higher islet mass in the OZ rats when compared with the other strains. Thus, OZ rats are an obese animal model, which through adaptive processes is able to maintain normoglycemia.

The GK rat, on the other hand, was hyperglycemic, had normal serum insulin concentrations, and had an islet mass which was similar to that of WF rats, even though there is a tendency (P = 0.08) toward a decrease in the latter. Somewhat surprisingly, the weight of the psoas fat pad was almost doubled in the GK rats when compared with WF rats. This suggests, since the weight of this depot fairly accurately mirrors total body fat (24), that the GK rat is also an obese rat model, albeit not to the same degree as OZ rats. Thus, the GK rat mirrors several traits of type 2 diabetes in humans, including obesity and increased insulin resistance in both liver (25) and WAT (26), but lack hyperinsulinemia. In view of this it should be possible to elucidate the roles of insulin resistance associated with obesity and hyperglycemia on islet and WAT blood perfusion.

White ATBF was ∼3 ml · 100 g−1 · min−1 in the control strains, thereby confirming previous results in humans and rodents (15). One striking difference, however, was the five- to tenfold higher blood perfusion found in the subcutaneous fat on the anterior throat in all studied rat strains. The reason for this marked difference is unknown.

ATBF distribution in different sites did not differ either when different strains or fat depots were compared. One exception from this general finding was the subcutaneous fat on the anterior throat just described above. This is in accord with a previous study in female Wistar rats, where no regional differences were detected when retroperitoneal, parametral, mesenteric, and subcutaneous fat blood flow was compared in either basal or trained rats (27). A heterogeneity has also been seen in humans, where subcutaneous ATBF was higher in the upper than the lower parts of the abdomimal wall. It should be noted, however, that the blood perfusion is very low in the present study, since the animals have not been recently fed (16), and minor differences are likely to be difficult to detect.

The ATBF in the obese, normoglycemic OZ rat was similar to or lower than that in the control LZ animals. This supports previous findings in this model (12,13,28,29). We also found that the individual WAT cells were larger in OZ rats, whereas the vascular density was approximately similar. Thus, when the number of microvessels was expressed per fat cell, the vascular density was higher in OZ rats when compared with LZ rats. This means that the unchanged or slightly impaired ATBF most likely reflects changes in the regulation of the blood perfusion rather than a decreased vascularity. It may be that the decreased ATBF reflects the hypercellular-hypertrophic obesity in this animal model, which has been suggested to also encompass a functionally important blood flow–mediated decrease in delivery and removal of nutrients and substrates to and from WAT (13).

The most surprising finding in the present study was that the GK rat had markedly increased ATBF values (ranging from 5 to 10 times higher) in all examined depots besides the epididymal fat pad. This flow increase was not due to any increase in vascularity, since the vascular density was similar to that seen in WF rats. Thus, the regulation of ATBF is likely to be affected. Before trying to interpret possible responsible mechanisms, we would like to shortly recapitulate how normal ATBF regulation occurs. Major factors affecting the blood perfusion of WAT include feeding, which in humans can increase subcutaneous ATBF up to fourfold (30). This increases substrate delivery for triglyceride clearance (15,31), and when ATBF was increased by adrenaline it was reported that triglyceride extraction increased in parallel with increased blood flow (31). Also, exercise and other types of stress increase ATBF in humans, although less markedly (32,33). Furthermore, ATBF increases during fasting overnight (34). During both these conditions, WAT releases nonesterified fatty acids and thereby requires a supply of albumin for transportation purposes.

In humans, adrenergic influences on ATBF are predominant with β-mediated vasodilation and α2-mediated vasoconstriction (15,16). This may explain the influences of exercise or fasting. It seems as if circulating catecholamines are more important in exercise-induced hyperemia as seen after studies in patients with spinal cord lesions (35). The increased ATBF seen after feeding is not fully explained. It correlates with insulin secretion and suppression of nonesterified fatty acids. Even though insulin is not the local signal responsible it can stimulate ATBF through sympathetic activation (9). It can, however, be blocked by propranolol, completely in some depots and partially in others (36), suggesting that adrenergic receptors are involved. Thus, increased sympathetic nervous activity could be one explanation for the increased ATBF in GK rats (see further below).

Like in many other vascular beds in the body, that of WAT is also sensitive to nitric oxide (NO). This substance determines the absolute level of ATBF, but a major proportion of the postprandial enhancement of ATBF is under β-adrenergic control (37). This means that NO has a permissive effect for other blood flow regulatory systems to exercise their effects, similar to what has been observed in pancreatic islets (38). In humans, one previous study demonstrated no effects on ATBF of the NO synthase inhibitor monomethyl-arginine (39), but they used ethanol outflow-to-inflow ratio in a microdialysis system to evaluate blood flow, which has a low sensitivity (40). It should be noted that the increased islet blood flow seen in GK rats can be normalized by NO synthase inhibition (38). Furthermore, an increased NO synthase activity has been observed in the retina of GK rats (41). Thus, there is some evidence that NO levels may be increased in GK rats, and if this is the case this may well explain the hyperperfusion of blood in GK WAT.

The degree of insulin sensitivity in humans and experimental animals is closely related to ATBF responsiveness (9,15). Thus, impaired regulation of ATBF seems to be another facet of the insulin resistance syndrome (9). Substances released from WAT may contribute to these changes in blood perfusion as well as insulin resistance and β-cell dysfunction. Such factors include TNF-α, FFAs, adiponectin, resistin, and leptin (3,42). In OZ rats, TNF-α has been suggested to be important, mainly by inducing hepatic insulin resistance (43), whereas the role of this substance in GK rats is unknown. Both resistin and adiponectin expression are decreased in OZ rats (44), and once again, their concentrations in GK rats are unknown. Since both resistin and adiponectin increase blood flow (45), their participation in the increased ATBF remains a possibility. Leptin, however, is a general vasodilator acting on receptors of endothelial cells, which then probably mediate the effects through NO (46). In OZ rats the leptin receptor is deficient, whereas no such changes are known or likely to exist in GK rats. Thus, a reasonable working hypothesis for further studies is that hyperleptinemia in GK rats may mediate an increased ATBF through increased local synthesis of NO. However, the findings on islet blood flow referred to below shed some doubt also on this possibility.

Pancreatic islet blood perfusion is also regulated by the factors referred to above. When 10-μm microspheres were used for blood flow measurements, islet blood perfusion of both GK and OZ rats was increased when compared with the control strains (online appendix), thereby confirming previous studies (17,18,47). For a further discussion on islet blood perfusion in these animals, see the online appendix.

It seems as if the GK rat is unique in the sense that both islet blood perfusion and ATBF are increased simultaneously, whereas only islet blood flow is increased in the OZ rat. It has been suggested that macrophages may infiltrate WAT in obesity (48,49). These cells can, in addition to adipocytes, also express cytokines and may by themselves affect the production of adipocytokines (50). However, there were no major differences in macrophage content of WAT when comparing GK or OZ rats when they were expressed per area. At the moment, the coupling between type 2 diabetes in GK rats and their increased ATBF is unknown. It can be speculated that the ability to increase ATBF to such a large extent may enable GK rats to continuously mobilize FFAs and thereby prevent accumulation of WAT depots (i.e., prevent any marked degree of obesity). The increased blood perfusion of brown adipose tissue may also increase caloric expenditure. Some support from that stems from the increased serum FFAs and cholesterol of GK rats. In support of that, we have recently observed that both fatty acids and triglycerides may by themselves increase islet blood flow (L.J., Ö.K., A. Delgado Verdugo, T. Alsgård, C.K., unpublished observation).

FIG. 1.

Islet blood flow expressed per gram pancreas (A) or per milligram islet (B) in Wistar (WF), GK, LZ, and OZ rats. Data are means ± SE for 7–9 experiments. §P < 0.05 when compared with LZ rats (Student’s unpaired t test); ***P < 0.001 when compared with the other three strains (ANOVA).

FIG. 1.

Islet blood flow expressed per gram pancreas (A) or per milligram islet (B) in Wistar (WF), GK, LZ, and OZ rats. Data are means ± SE for 7–9 experiments. §P < 0.05 when compared with LZ rats (Student’s unpaired t test); ***P < 0.001 when compared with the other three strains (ANOVA).

Close modal
FIG. 2.

AH: WAT blood flow in different depots and brown adipose tissue blood flow in Wistar, GK, LZ, and OZ rats. Data are means ± SE for 7–9 experiments. *P < 0.02, **P < 0.01, and ***P < 0.001 when compared with the corresponding control animals with Student’s unpaired t test.

FIG. 2.

AH: WAT blood flow in different depots and brown adipose tissue blood flow in Wistar, GK, LZ, and OZ rats. Data are means ± SE for 7–9 experiments. *P < 0.02, **P < 0.01, and ***P < 0.001 when compared with the corresponding control animals with Student’s unpaired t test.

Close modal
FIG. 3.

Sections from a pancreas (A) and subcutaneous WAT (B and C) from a Wistar rat stained for the lectin BS-1 (arrows, A and B) or for the CD68 antibody clone ED-1 (arrows, C). Background staining hematoxylin. Scale bar = 100 μm.

FIG. 3.

Sections from a pancreas (A) and subcutaneous WAT (B and C) from a Wistar rat stained for the lectin BS-1 (arrows, A and B) or for the CD68 antibody clone ED-1 (arrows, C). Background staining hematoxylin. Scale bar = 100 μm.

Close modal
FIG. 4.

Vascular density per area in endogenous pancreatic islets (A) or different depots of WAT (B) in Wistar, GK, LZ, and OZ rats. Data are means ± SE for six experiments. **P < 0.01 when compared with the corresponding value for LZ rats (Student’s unpaired t test).

FIG. 4.

Vascular density per area in endogenous pancreatic islets (A) or different depots of WAT (B) in Wistar, GK, LZ, and OZ rats. Data are means ± SE for six experiments. **P < 0.01 when compared with the corresponding value for LZ rats (Student’s unpaired t test).

Close modal
FIG. 5.

Fat cell density (A) and number of blood vessels per fat cell in different depots of WAT (B) in Wistar, GK, LZ, and OZ rats. Data are means ± SE for six experiments. ****All values in the OZ rats are different from (P < 0.001) the corresponding value in LZ rats (Student’s unpaired t test).

FIG. 5.

Fat cell density (A) and number of blood vessels per fat cell in different depots of WAT (B) in Wistar, GK, LZ, and OZ rats. Data are means ± SE for six experiments. ****All values in the OZ rats are different from (P < 0.001) the corresponding value in LZ rats (Student’s unpaired t test).

Close modal
FIG. 6.

Macrophage density per area (A) and number of macrophages per fat cell (B) in different depots of WAT in Wistar, GK, LZ, and OZ rats. Data are means ± SE for six experiments. *P < 0.05, **P < 0.01, and ***P < 0.001 when compared with the corresponding control rats (Student’s unpaired t test).

FIG. 6.

Macrophage density per area (A) and number of macrophages per fat cell (B) in different depots of WAT in Wistar, GK, LZ, and OZ rats. Data are means ± SE for six experiments. *P < 0.05, **P < 0.01, and ***P < 0.001 when compared with the corresponding control rats (Student’s unpaired t test).

Close modal
TABLE 1

All measurements were performed in thiobutabarbital-anesthetized rats aged 3–4 months

Strain of animalsWistarGKLZOZ
Experiments (n
Body weight (g) 322 ± 3 303 ± 3 311 ± 10 451 ± 19 
Pancreas weight (mg) 922 ± 19 817 ± 13 1,084 ± 34 987 ± 61* 
Pancreas weight (% body weight) 0.286 ± 0.006 0.274 ± 0.006 0.350 ± 0.013 0.221 ± 0.015 
Psoas fat pad weight (mg) 1,297 ± 77 2,148 ± 60* 895 ± 58 3,893 ± 214 
Psoas fat pad (% body weight) 0.401 ± 0.020 0.710 ± 0.021* 0.289 ± 0.020 0.864 ± 0.031 
Islet volume (% pancreas) 1.14 ± 0.09 0.96 ± 0.08 0.96 ± 0.06 2.64 ± 0.14 
Islet mass (mg) 10.5 ± 0.8 7.7 ± 0.7 10.5 ± 1.3 27.0 ± 2.0 
Blood glucose (mmol/l) 5.6 ± 0.1 10.2 ± 0.7 6.1 ± 0.2 6.9 ± 0.5 
Serum insulin (ng/ml) 3.30 ± 0.32 2.72 ± 0.20 2.36 ± 0.38 8.02 ± 2.84 
Mean arterial blood pressure (mmHg) 108 ± 5 113 ± 5 103 ± 4 124 ± 3* 
Hematocrit (%) 45.1 ± 0.2 45.2 ± 0.2 45.3 ± 0.4 45.4 ± 0.3 
Pancreatic blood flow (ml/min × g) 0.86 ± 0.13 1.08 ± 0.14 0.87 ± 0.09 1.08 ± 0.14 
Islet blood flow (% total pancreatic blood flow) 5.8 ± 0.5 4.1 ± 0.5 4.5 ± 0.5 18.7 ± 1.5 
Duodenal blood flow (ml/min × g) 1.95 ± 0.29 3.06 ± 0.42 2.04 ± 0.15 2.46 ± 0.37 
Colonic blood flow (ml/min × g) 1.12 ± 0.13 0.99 ± 0.20 1.00 ± 0.10 1.05 ± 0.18 
Adrenal blood flow (ml/min × g) 6.50 ± 1.08 8.82 ± 0.87 6.88 ± 0.52 4.50 ± 0.59* 
Strain of animalsWistarGKLZOZ
Experiments (n
Body weight (g) 322 ± 3 303 ± 3 311 ± 10 451 ± 19 
Pancreas weight (mg) 922 ± 19 817 ± 13 1,084 ± 34 987 ± 61* 
Pancreas weight (% body weight) 0.286 ± 0.006 0.274 ± 0.006 0.350 ± 0.013 0.221 ± 0.015 
Psoas fat pad weight (mg) 1,297 ± 77 2,148 ± 60* 895 ± 58 3,893 ± 214 
Psoas fat pad (% body weight) 0.401 ± 0.020 0.710 ± 0.021* 0.289 ± 0.020 0.864 ± 0.031 
Islet volume (% pancreas) 1.14 ± 0.09 0.96 ± 0.08 0.96 ± 0.06 2.64 ± 0.14 
Islet mass (mg) 10.5 ± 0.8 7.7 ± 0.7 10.5 ± 1.3 27.0 ± 2.0 
Blood glucose (mmol/l) 5.6 ± 0.1 10.2 ± 0.7 6.1 ± 0.2 6.9 ± 0.5 
Serum insulin (ng/ml) 3.30 ± 0.32 2.72 ± 0.20 2.36 ± 0.38 8.02 ± 2.84 
Mean arterial blood pressure (mmHg) 108 ± 5 113 ± 5 103 ± 4 124 ± 3* 
Hematocrit (%) 45.1 ± 0.2 45.2 ± 0.2 45.3 ± 0.4 45.4 ± 0.3 
Pancreatic blood flow (ml/min × g) 0.86 ± 0.13 1.08 ± 0.14 0.87 ± 0.09 1.08 ± 0.14 
Islet blood flow (% total pancreatic blood flow) 5.8 ± 0.5 4.1 ± 0.5 4.5 ± 0.5 18.7 ± 1.5 
Duodenal blood flow (ml/min × g) 1.95 ± 0.29 3.06 ± 0.42 2.04 ± 0.15 2.46 ± 0.37 
Colonic blood flow (ml/min × g) 1.12 ± 0.13 0.99 ± 0.20 1.00 ± 0.10 1.05 ± 0.18 
Adrenal blood flow (ml/min × g) 6.50 ± 1.08 8.82 ± 0.87 6.88 ± 0.52 4.50 ± 0.59* 

Data are means ± SE.

*

P < 0.01 and

P < 0.001 when compared with the corresponding control strain (Student’s unpaired t test).

P < 0.05 when compared with all other strains (ANOVA).

Financial support was received from the Swedish Research Council (72X-109), the Swedish Diabetes Association, the Juvenile Diabetes Research Foundation, the EFSD/Novo Nordisk for Type 2 Diabetes Research Grant, and the Family Ernfors Fund.

The skilled technical assistance of Astrid Nordin and Eva Törnelius is gratefully acknowledged.

1.
Kissebah AH, Krakower GR: Regional adiposity and morbidity.
Physiol Rev
74
:
761
–811,
1994
2.
Björntorp P: Metabolic implications of body fat distribution.
Diabetes Care
14
:
1132
–1143,
1991
3.
Arner P: The adipocyte in insulin resistance: key molecules and the impact of the thiazolidinediones.
Trends Endocrinol Metab
14
:
137
–145,
2003
4.
Cooke JP, Oka RK: Does leptin cause vascular disease?
Circulation
106
:
1904
–1905,
2002
5.
Ruan H, Lodish HF: Insulin resistance in adipose tissue: direct and indirect effects of tumor necrosis factor-alpha.
Cytokine Growth Factor Rev
14
:
447
–455,
2003
6.
Rajala MW, Scherer PE: Minireview: the adipocyte: at the crossroads of energy homeostasis, inflammation, and atherosclerosis.
Endocrinology
144
:
3765
–3773,
2003
7.
Brunicardi FC, Stagner J, Bonner-Weir S, Wayland H, Kleinman R, Livingston E, Guth P, Menger M, McCuskey R, Intaglietta M, Charles A, Ashley S, Cheung A, Ipp E, Gilman S, Howard T, Passaro E Jr: Microcirculation of the islets of Langerhans: Long Beach Veterans Administration Regional Medical Education Center Symposium.
Diabetes
45
:
385
–392,
1996
8.
Jansson L: The regulation of pancreatic islet blood flow.
Diabetes Metab Rev
10
:
407
–416,
1994
9.
Karpe F, Fielding BA, Ilic V, Macdonald IA, Summers LK, Frayn KN: Impaired postprandial adipose tissue blood flow response is related to aspects of insulin sensitivity.
Diabetes
51
:
2467
–2473,
2002
10.
Jansson PA, Larsson A, Lönnroth PN: Relationship between blood pressure, metabolic variables and blood flow in obese subjects with or without non-insulin-dependent diabetes mellitus.
Eur J Clin Invest
28
:
813
–818,
1998
11.
Summers LK, Samra JS, Frayn KN: Impaired postprandial tissue regulation of blood flow in insulin resistance: a determinant of cardiovascular risk?
Atherosclerosis
147
:
11
–15,
1999
12.
Seydoux J, Benzi RH, Shibata M, Girardier L: Underlying mechanisms of atrophic state of brown adipose tissue in obese Zucker rats.
Am J Physiol
259
:
R61
–69,
1990
13.
West DB, Prinz WA, Francendese AA, Greenwood MR: Adipocyte blood flow is decreased in obese Zucker rats.
Am J Physiol
253
:
R228
–233,
1987
14.
Atef N, Ktorza A, Penicaud L: CNS involvement in the glucose induced increase of islet blood flow in obese Zucker rats.
Int J Obes Relat Metab Disord
19
:
103
–107,
1995
15.
Frayn KN, Karpe F, Fielding BA, Macdonald IA, Coppack SW: Integrative physiology of human adipose tissue.
Int J Obes Relat Metab Disord
27
:
875
–888,
2003
16.
Crandall DL, Hausman GJ, Kral JG: A review of the microcirculation of adipose tissue: anatomic, metabolic, and angiogenic perspectives.
Microcirculation
4
:
211
–232,
1997
17.
Atef N, Portha B, Penicaud L: Changes in islet blood flow in rats with NIDDM.
Diabetologia
37
:
677
–680,
1994
18.
Svensson AM, Abdel-Halim SM, Efendic S, Jansson L, Östenson CG: Pancreatic and islet blood flow in F1-hybrids of the non-insulin-dependent diabetic GK-Wistar rat.
Eur J Endocrinol
130
:
612
–616,
1994
19.
Jansson L, Hellerström C: Stimulation by glucose of the blood flow to the pancreatic islets of the rat.
Diabetologia
25
:
45
–50,
1983
20.
Jansson L, Hellerström C: A rapid method of visualizing the pancreatic islets for studies of islet capillary blood flow using non-radioactive microspheres.
Acta Physiol Scand
113
:
371
–374,
1981
21.
Carlsson PO, Andersson A, Jansson L: Pancreatic islet blood flow in normal and obese-hyperglycemic (ob/ob) mice.
Am J Physiol
271
:
E990
–995,
1996
22.
Mattsson G, Carlsson PO, Olausson K, Jansson L: Histological markers for endothelial cells in endogenous and transplanted rodent pancreatic islets.
Pancreatology
2
:
155
–162,
2002
23.
Chua SC Jr, Chung WK, Wu-Peng XS, Zhang Y, Liu SM, Tartaglia L, Leibel RL: Phenotypes of mouse diabetes and rat fatty due to mutations in the OB (leptin) receptor.
Science
271
:
994
–996,
1996
24.
Eizirik DL, Migliorini RH: Reduced diabetogenic effect of streptozotocin in rats previously adapted to a high-protein, carbohydrate-free diet.
Diabetes
33
:
383
–388,
1984
25.
Matsuura B, Kanno S, Minami H, Tsubouchi E, Iwai M, Matsui H, Horiike N, Onji M: Effects of antihyperlipidemic agents on hepatic insulin sensitivity in perfused Goto-Kakizaki rat liver.
J Gastroenterol
39
:
339
–345,
2004
26.
Cariou B, Capitaine N, Le Marcis V, Vega N, Bereziat V, Kergoat M, Laville M, Girard J, Vidal H, Burnol AF: Increased adipose tissue expression of Grb14 in several models of insulin resistance.
FASEB J
18
:
965
–967,
2004
27.
Enevoldsen LH, Stallknecht B, Fluckey JD, Galbo H: Effect of exercise training on in vivo lipolysis in intra-abdominal adipose tissue in rats.
Am J Physiol Endocrinol Metab
279
:
E585
–592,
2000
28.
Wickler SJ, Horwitz BA, Stern JS: Regional blood flow in genetically–obese rats during nonshivering thermogenesis.
Int J Obes
6
:
481
–490,
1982
29.
Wickler SJ, Horwitz BA, Stern JS: Blood flow to brown fat in lean and obese adrenalectomized Zucker rats.
Am J Physiol
251
:
R851
–858,
1986
30.
Summers LK, Samra JS, Humphreys SM, Morris RJ, Frayn KN: Subcutaneous abdominal adipose tissue blood flow: variation within and between subjects and relationship to obesity.
Clin Sci (Lond
) 
91
:
679
–683,
1996
31.
Samra JS, Simpson EJ, Clark ML, Forster CD, Humphreys SM, Macdonald IA, Frayn KN: Effects of epinephrine infusion on adipose tissue: interactions between blood flow and lipid metabolism.
Am J Physiol
271
:
E834
–839,
1996
32.
Bülow J, Madsen J: Adipose tissue blood flow during prolonged, heavy exercise.
Pflugers Arch
363
:
231
–234,
1976
33.
Linde B, Hjemdahl P, Freyschuss U, Juhlin-Dannfelt A: Adipose tissue and skeletal muscle blood flow during mental stress.
Am J Physiol
256
:
E12
–E18,
1989
34.
Hagström E, Arner P, Engfeldt P, Rössner S, Bolinder J: In vivo subcutaneous adipose tissue glucose kinetics after glucose ingestion in obesity and fasting.
Scand J Clin Lab Invest
50
:
129
–136,
1990
35.
Stallknecht B, Lorentsen J, Enevoldsen LH, Bulow J, Biering-Sorensen F, Galbo H, Kjaer M: Role of the sympathoadrenergic system in adipose tissue metabolism during exercise in humans.
J Physiol
536
:
283
–294,
2001
36.
Simonsen L, Bülow J, Astrup A, Madsen J, Christensen NJ: Diet-induced changes in subcutaneous adipose tissue blood flow in man: effect of beta-adrenoceptor inhibition.
Acta Physiol Scand
139
:
341
–346,
1990
37.
Ardilouze JL, Karpe F, Currie JM, Frayn KN, Fielding BA: Subcutaneous adipose tissue blood flow varies between superior and inferior levels of the anterior abdominal wall.
Int J Obes Relat Metab Disord
28
:
228
–233,
2004
38.
Svensson AM, Östenson CG, Sandler S, Efendic S, Jansson L: Inhibition of nitric oxide synthase by NG-nitro-L-arginine causes a preferential decrease in pancreatic islet blood flow in normal rats and spontaneously diabetic GK rats.
Endocrinology
135
:
849
–853,
1994
39.
Andersson K, Gaudiot N, Ribiere C, Elizalde M, Giudicelli Y, Arner P: A nitric oxide-mediated mechanism regulates lipolysis in human adipose tissue in vivo.
Br J Pharmacol
126
:
1639
–1645,
1999
40.
Karpe F, Fielding BA, Ilic V, Humphreys SM, Frayn KN: Monitoring adipose tissue blood flow in man: a comparison between the (133)xenon washout method and microdialysis.
Int J Obes Relat Metab Disord
26
:
1
–5,
2002
41.
Carmo A, Cunha-Vaz JG, Carvalho AP, Lopes MC: Nitric oxide synthase activity in retinas from non-insulin-dependent diabetic Goto-Kakizaki rats: correlation with blood-retinal barrier permeability.
Nitric Oxide
4
:
590
–596,
2000
42.
Ruan H, Lodish HF: Regulation of insulin sensitivity by adipose tissue-derived hormones and inflammatory cytokines.
Curr Opin Lipidol
15
:
297
–302,
2004
43.
Cheung AT, Wang J, Ree D, Kolls JK, Bryer-Ash M: Tumor necrosis factor-α induces hepatic insulin resistance in obese Zucker (fa/fa) rats via interaction of leukocyte antigen-related tyrosine phosphatase with focal adhesion kinase.
Diabetes
49
:
810
–819,
2000
44.
Milan G, Granzotto M, Scarda A, Calcagno A, Pagano C, Federspil G, Vettor R: Resistin and adiponectin expression in visceral fat of obese rats: effect of weight loss.
Obes Res
10
:
1095
–1103,
2002
45.
Tigno XT, Selaru IK, Angeloni SV, Hansen BC: Is microvascular flow rate related to ghrelin, leptin and adiponectin levels?
Clin Hemorheol Microcirc
29
:
409
–416,
2003
46.
Sierra-Honigmann MR, Nath AK, Murakami C, Garcia-Cardena G, Papapetropoulos A, Sessa WC, Madge LA, Schechner JS, Schwabb MB, Polverini PJ, Flores-Riveros JR: Biological action of leptin as an angiogenic factor.
Science
281
:
1683
–1686,
1998
47.
Atef N, Ktorza A, Picon L, Penicaud L: Increased islet blood flow in obese rats: role of the autonomic nervous system.
Am J Physiol
262
:
E736
–E740,
1992
48.
Weisberg SP, McCann D, Desai M, Rosenbaum M, Leibel RL, Ferrante AW Jr: Obesity is associated with macrophage accumulation in adipose tissue.
J Clin Invest
112
:
1796
–1808,
2003
49.
Xu H, Barnes GT, Yang Q, Tan G, Yang D, Chou CJ, Sole J, Nichols A, Ross JS, Tartaglia LA, Chen H: Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance.
J Clin Invest
112
:
1821
–1830,
2003
50.
Lyon CJ, Law RE, Hsueh WA: Minireview: adiposity, inflammation, and atherogenesis.
Endocrinology
144
:
2195
–2200,
2003

Supplementary data