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Molecular Medicine logoLink to Molecular Medicine
. 2010 Sep 8;17(1-2):36–40. doi: 10.2119/molmed.2010.00167

Serum Leptin, Adiponectin and Tumor Necrosis Factor-α in Hyperlipidemic Rats with/without Concomitant Diabetes Mellitus

Angeliki Margoni 1, Despoina N Perrea 2, Ioannis Vlachos 2, Georgia Prokopaki 2, Alkistis Pantopoulou 2, Lambros Fotis 2, Maria Kostaki 1, Athanasios G Papavassiliou 1,
PMCID: PMC3022981  PMID: 20838752

Abstract

We compared the lipid profiles and serum levels of leptin, adiponectin and tumor necrosis factor-α (TNF-α) in rats with/without hyperlipidemia and with/without concomitant diabetes mellitus. Forty 10-wk-old male Wistar rats were divided into four groups. Groups A and C received standard food for 12 wks. Groups B and D received a high-fat diet enriched with 2% additional cholesterol. Moreover, insulin-deficient (type I) diabetes mellitus was induced in rats in groups C and D with intraperitoneal injections of streptozotocin. Fasting serum leptin levels were decreased in diabetic groups (groups C and D) compared with controls. Fasting serum adiponectin levels were decreased in groups C and D compared with group A. Serum TNF-α levels were augmented in groups B and D, those fed with an atherogenic diet. By contrast, TNF-α levels were decreased in group C. Our data suggest that serum leptin, adiponectin and TNF-α levels may serve as markers of obesity and type I diabetes mellitus.

INTRODUCTION

Type I diabetes mellitus (DM I) and obesity have received increasing attention because of the rising epidemic in the population. Adipose tissue regulates energy balance and glucose and lipid metabolism via the secretion of adipocytokines. Leptin, adiponectin and tumor necrosis factor-α (TNF-α) levels are different in diabetic and obese individuals compared with nondiabetic, nonobese individuals. Morbid rates of leptin and adiponectin may provide a link between obesity, diabetes and increased cardiovascular risk. The protein leptin, a satiety hormone, regulates appetite, energy homeostasis and glucose/lipid metabolism (15). Adiponectin exerts profound antidiabetic, an-tiatherogenic and antiinflammatory roles (2,68). Both hormones improve insulin resistance (9), although their blood concentrations may be contradictory, depending on adipocyte deposition (10). Plasma leptin levels correlate with body fat content (13,11); the increase of fat cells in number and in size is coupled with an increase in leptin secretion (1113). Obesity is characterized by hyperleptinemia (11,13,14), whereas leptin levels decrease considerably during weight loss (15). Although plasma leptin levels are elevated in obesity and type II diabetes mellitus (DM II), they are decreased in DM I and are positively associated with body mass index (BMI) (16,17). Adiponectin levels are increased in DM I (18,19) and decreased in DM II (2022). Obesity is also characterized by hypoadiponectinemia, because adiponectin is inversely correlated with BMI (6,810,19). TNF-α, a cytokine secreted by adipocytes, influences energy balance and glucose homeostasis. TNF-α causes insulin resistance and plays a major role in the pathogenesis of obesity-linked DM II (23,24). TNF-α levels are increased in DM I; TNF-α is involved in the autoimmunity process leading to pancreatic β-cell damage and the induction of DM I (25,26). It has been suggested that TNF-α may be an indicator for the quality of metabolic control in DM I (26). Furthermore, TNF-α levels are also increased in obesity (27).

In the present study we compared serum levels of leptin, adiponectin and TNF-α in diabetic rats subjected to different dietary manipulations, and investigated the complex interrelations between adipocytokines, hyperglycemia and hyperlipidemia.

MATERIALS AND METHODS

Animal Preparation and Induction of Diabetes

The experiments were carried out on 40 male 10-wk-old Wistar rats weighing 220–300 g each. The rats were housed in plastic cages according to European standards (Tecniplast, Buguggiate, Italy) in the Laboratory for Experimental Surgery and Surgical Research, in a controlled environment at 20ºC ± 2ºC, with 55% relative humidity, central ventilation (15 air changes/h) and an artificial 12-h light-dark cycle. All animal experiments were carried out in compliance with the Guide for the Care and Use of Laboratory Animals published by the National Academy of Sciences. The protocol was approved by the Institutional Animal Care and Use Committee of the University of Athens Medical School and Veterinary Directorate of the Athens Prefecture (permit number K/2927). After acclimatization for 1 wk, the animals were randomly divided into four groups (A–D) of 8–12 rats each. Access to food and water was unrestricted for all groups.

Group A (control group) and group C received a standard rat diet, and groups B and D received a high-fat diet. The composition of the control diet was protein 20%, carbohydrates 40%, fat 5%, fiber 3% and other constituents 32%. The composition of the high-fat diet was enriched with 2% cholesterol. In groups C and D, insulin-deficient DM I was induced by intraperitoneal injections of freshly prepared streptozotocin (catalog number S0130/Lot #119K159; Sigma, St. Louis, MO, USA) at a dose of 50 mg/dL/kg in ice-cold 0.5 mol/L citrate buffer (pH 4.5). The body weight and food and water consumption of the animals were measured daily.

Animal Measurements

During the study period, blood samples were collected at the beginning and after 4, 8, 10 and 12 wks for serum lipid, glucose and hormonal measurements. Using capillary tubes, we collected blood from the retroorbital plexus of the rats, which were under light ether anesthesia. The blood samples were then placed into Eppendorf tubes containing heparin. The blood samples were collected at the same time of the day for every measurement. Food was withdrawn 10 h before blood collection. All animals were killed by exsanguination 12 wks after initiation of the study. Blood was drawn from the inferior vena cava while the rats were under deep ether anesthesia. The plasma was separated by centrifugation (15 min at 3000g) and the serum aliquots were stored at −80ºC until analyzed.

Diabetic Status

The diagnosis of diabetes was determined on the basis of a full clinical examination and serum tests. Fasting plasma glucose levels were measured by using the hexokinase/glucose-6-phosphate dehydrogenase method (28). Serum insulin levels were measured by a radio-immunoassay kit using rat insulin as a standard. The homeostasis model assessment for insulin resistance (HOMA-R) was calculated as an indicator of insulin resistance, according to the formula HOMA-R = fasting glucose (mmol/L) × fasting insulin (μU/mL)/22.5.

Serum Lipid Measurement

High-density lipoprotein cholesterol (HDL-C) was isolated by precipitating chylomicrons, and very low-density lipoprotein cholesterol and low-density lipoprotein cholesterol (LDL-C) by adding phosphotungstic acid and magnesium ions to the samples. Serum cholesterol and HDL-C were determined enzymatically by the cholesterol oxidase peroxidase-amidopyrine method using a commercially available kit (Biosis, Athens, Greece). Serum triglycerides were measured by the enzymatic glycerol-3-phosphate-oxidase peroxidase-amidopyrine method using a commercially available kit (Biosis). LDL-C was estimated by use of the Friedewald formula: LDL = total cholesterol level –HDL – [triglyceride level/5].

Hormone Measurement

Serum leptin, adiponectin and TNF-α levels were measured by use of various commercially available rat enzyme-linked immunosorbent assay (ELISA) kits. Specifically, for leptin levels measurements the R&D Systems ELISA kit was used (catalog number MOB00; R&D Systems, Minneapolis, MN, USA), for serum adiponectin levels the Alpco ELISA kit (catalog number 44-ADPRT-E01; Alpco, Salem, NH, USA) and for TNF-α levels the Invitrogen ELISA kit (catalog number KRC3014; Invitrogen, Carlsbad, CA, USA). Fasting serum insulin levels were measured by the Mercodia ELISA kit (catalog number 10-1124-01; Mercodia, Uppsala, Sweden).

STATISTICAL ANALYSES

Data are expressed as mean ± standard deviation for continuous variables and as percentages for categorical data. The Shapiro–Wilk test was used to assess whether the distribution of variables followed the normal distribution. Comparisons of continuous variables were analyzed by using the Mann–Whitney nonparametric test as appropriate, and categorical variables were assessed by using the Spearman χ2 test. Linear relationships between quantitative variables were assessed with the Spearman rho for nonparametric data. Multivariate analysis of variance as well as analysis of covariance were performed to analyze the effects of each measured variable, not only within the groups but also between different groups (primary assumption: covariates such as age, sex and weight were already normalized, owing to the fact that the rats used in the experiment were set as equal from the start). All statistical tests were examined at a 5% level of significance. In other words, null hypothesis was rejected with >95% confidence (confidence interval two-tailed P < 0.5).

RESULTS

Determination of Diabetes

Animals injected with streptozotocin became markedly diabetic, as manifested by fasting serum glucose levels (Tables 1 and 2). Baseline values of glucose were similar in all groups. Two rats in group D died on d 2 and d 3, respectively, after streptozotocin injection. The diabetic animals presented with increased polyuria, polyphagia and polydipsia compared with the control group. Fasting serum glucose levels were significantly higher in groups C and D compared with the control groups (Tables 2 and 3) (group A, 153.00 ± 14.4 mg/dL; group B, 114.00 ± 35.7 mg/dL; group C, 255.30 ± 129.9 mg/dL; group D, 244.50 ± 209.9 mg/dL; P < 0.01). There was no significant difference in insulin and HOMA-R levels among the groups.

Table 1.

Metabolic-hormonal characteristics at the beginning of the study.a

Control group (n = 8) Group B (n = 10) Group C (n = 12) Group D (n = 12)
Total cholesterol, mg/dL 107 ± 14.20 75.50 ± 11.91 99.75 ± 19.83 63.08 ± 15.12
Glucose, mg/dL 128.85 ± 11.21 77.40 ± 22.67 112.58 ± 23.91 97.53 ± 24.28
Triglycerides, mg/dL 98.50 ± 28.52 101.80 ± 20.33 90.41 ± 22.78 85.08 ± 25.41
HDL-C, mg/dL 39.50 ± 10.59 31.30 ± 3.68 32.25 ± 13.27 16.66 ± 4.42
Leptin, pg/mL 220.60 ± 139.15 95.74 ± 32.81 302.24 ± 256.62 270.43 ± 179.03
Adiponectin, ng/mL 129.32 ± 72.89 100.72 ± 64.36 95.95 ± 86.16 33.65 ± 14.81
TNF-α, pg/mL 3.15 ± 2.35 2.16 ± 2.23 3.17 ± 1.13 3.31 ± 6.10
a

Values are expressed as mean ± standard deviation.

Table 2.

Metabolic-hormonal characteristics at the end of the study.a

Control group (n = 8) Group B (n = 10) Group C (n = 12) Group D (n = 12)
Total cholesterol, mg/dL 67.25 ± 12.17 76 ± 7.58 67.25 ± 18.78 129.66 ± 157.34
Glucose, mg/dL 153 ± 14.42 114 ± 35.67 255.25 ± 129.92 244.50 ± 209.98
Triglycerides, mg/dL 95.50 ± 20.69 109 ± 29.34 128.58 ± 86.80 92.50 ± 58.62
HDL-C, mg/dL 25.50 ± 4.84 20.30 ± 5.18 28.50 ± 8.12 22.91 ± 14.74
Leptin, pg/mL 242.80 ± 104.46 65.53 ± 8.67 124.56 ± 115.49 89.24 ± 72.88
Adiponectin, ng/mL 109.15 ± 95.40 10.64 ± 7.11 16.90 ± 10.41 17.29 ± 15.07
TNF-α, pg/mL 2.02 ± 0.67 20.51 ± 18.44 1.97 ± 0.77 10.52 ± 19.74
a

Values are expressed as mean ± standard deviation.

Table 3.

Mann–Whitney results by variable: control group versus all other groups.a

Control group versus group B, P Control group versus group C, P Control group versus group D, P
Total cholesterol, mg/dL 0.142 0.877 0.023b
Glucose, mg/dL 0.487 0.008b 0.008b
Triglycerides, mg/dL 0.247 0.757 0.594
HDL-C, mg/dL 0.018b 0.416 0.929
Leptin, pg/mL 0.001b 0.021b 0.016b
Adiponectin, ng/mL 0.001b 0.011b 0.008b
TNF-α, pg/mL 0.026b 0.758 0.026b
a

The tests were performed in a significance level of 5%.

b

Significant results.

Lipid Profile

Total cholesterol in group D was increased compared with the control group (Tables 2 and 3) (group A, 67.25 ± 12.2 mg/dL; group B, 76.00 ± 7.6 mg/dL; group C, 67.25 ± 18.8 mg/dL; group D, 129.66 ± 157.3 mg/dL; P < 0.05). Total cholesterol levels varied between the diabetic groups (group C versus group D; P < 0.01) (Table 4). Triglyceride levels did not vary among the groups (Tables 3 and 4). LDL-C levels were increased in group D compared with controls (group A, 22.65 ± 12.8 mg/dL; group C, 14.63 ± 9.4 mg/dL; group D, 105.90 ± 143.6 mg/dL; P < 0.05). LDL-C levels also varied among the diabetic groups (group C versus group D; P < 0.05). HDL-C levels were decreased in group B compared with controls (Tables 2 and 3), whereas there was no significant difference among the diabetic groups (Table 4) (group A, 25.50 ± 4.8 mg/dL; group B, 20.30 ± 5.2 mg/dL; group C, 28.50 ± 8.1 mg/dL; group D, 22.91 ± 14.7 mg/dL; P < 0.01).

Table 4.

Mann–Whitney results by variable: groups B, C and D versus each other.a

Group B versus group C, P Group B versus group D, P Group C versus group D, P
Total cholesterol, mg/dL 0.048b 0.064 0.010b
Glucose, mg/dL <0.001b 0.001b 0.869
Triglycerides, mg/dL 0.644 0.850 0.792
HDL-C, mg/dL 0.009b 0.014b 0.426
Leptin, pg/mL 0.843 1.000 0.291
Adiponectin, ng/mL 0.198 0.091 0.758
TNF-α, pg/mL 0.005b 0.364 0.005b
a

The tests were performed in a significance level of 5%.

b

Significant results.

Hormonal Profile

Baseline values of leptin, adiponectin and TNF-α levels were similar among all groups. Fasting serum leptin levels were significantly decreased in diabetic groups C and D compared with controls (Tables 13) (group A, 242.80 ± 104.5 pg/mL; group C, 124.56 ± 115.5 pg/mL; group D, 89.24 ± 72.88 pg/mL; P < 0.05). Leptin levels did not vary between the diabetic groups (C versus D) (Table 4).

Fasting serum adiponectin levels were decreased in groups C and D compared with group A (Tables 2 and 3) (group A, 109.15 ± 95.4 ng/mL; group B, 10.64 ± 7.1 ng/mL; group C, 16.90 ± 10.4 ng/mL; group D, 17.29 ± 15.07 ng/mL; P < 0.01). Adiponectin levels were also decreased in group B compared with group A (P < 0.001) (Table 3). No difference in adiponectin levels was found between groups C and D (Table 4). Leptin levels were correlated to fasting insulin (r = 0.420, P < 0.05) and glucose (r = −0.415, P < 0.05). Adiponectin was correlated to glucose (r = −0.359, P < 0.05) and leptin (r = 0.530, P < 0.01).

Serum TNF-α levels were increased in groups B and D fed with an atherogenic diet compared with group A (Tables 2 and 3) (group A, 2.02 ± 0.7 pg/mL; group B, 20.51 ± 18.4 pg/mL; group D, 10.52 ± 19.7 pg/mL; P < 0.05). In contrast, TNF-α levels were decreased in group C compared with group B and D (P < 0.005) (Table 4). TNF-α was correlated to total cholesterol (r = 0.754, P < 0.005) and HDL-C (r = 0.823, P < 0.001).

DISCUSSION

Our study results demonstrated that serum leptin, adiponectin and TNF-α levels were altered after the induction of DM I and/or hyperlipidemia.

Diabetes induced by high-dose streptozotocin resembles human DM I, with reduced leptin secretion due to decreased insulin-mediated glucose metabolism in adipose tissue (29). Serum leptin levels were decreased in diabetic rats compared with their nondiabetic counterparts. This finding is in agreement with previous studies showing that leptin levels decrease in DM I (16). It was hypothesized almost a decade ago that the reduced leptin levels in DM I patients are associated with the insulin deficiency observed in these patients (30). A recent study on nonobese DM I mice revealed that recombinant leptin treatment, either alone or in combination with low-dose insulin therapy, provided equivalent or superior glycemic stability without the increase in body fat and upregulation of cholesterologenic and lipogenic transcription factors and enzymes observed with insulin monotherapy (30). Recombinant leptin treatment profoundly reduced food intake, body weight and body fat (30). The antidiabetic effects of leptin may be mediated by glucagon suppression (30,31). Verification of these results in humans holds implications for future use of leptin as an antidiabetic agent. Thus, like insulin, leptin is a potent suppressor of glucagon and may be used both as a marker of diabetic status as well as a potential therapeutic tool for the management of DM I.

Adiponectin is a possible insulin-sensitizing agent (5,6,2022). Serum adiponectin levels are negatively associated with the BMI in healthy individuals and are decreased in DM II (6,20,21). By contrast, adiponectin levels are increased in patients with DM I (32). An immune mechanism has been proposed to account for this increase (32). We found decreased adiponectin levels in hyperlipidemic rats alone and in DM I rats alone, as well as in rats having both DM I and hyperlipidemia. The reason may be the lack of an immune mechanism that leads to β-cell damage and absolute insulin deficiency in our model of streptozotocin-induced diabetes. It was recently suggested that the high–molecular weight form of adiponectin may serve as a significant surrogate marker for the prediction of DM II in the Japanese population (33). In an earlier report, investigators postulated that decreased total and high–molecular weight adiponectin levels are independent risk factors for the development of DM II in Japanese-Americans (34). Finally, the high–molecular weight multimeric form of adiponectin may serve as a useful marker to evaluate insulin resistance and the metabolic syndrome in men (6,35). Thus, there is already preliminary evidence suggesting that adiponectin may serve as an early marker of DM.

In addition to being an early marker of the metabolic syndrome, insulin resistance and DM II (3335), low plasma adiponectin levels are also a marker of subclinical atherosclerosis. In a study performed 8 years ago, circulating adiponectin levels were demonstrated to correlate with the presence of early atherosclerosis, as measured by an increased intima media thickness in the carotid artery bulb (36). These results were verified a few years later (37). Plasma adiponectin levels were shown to be a marker of glucose metabolism and obesity, as well as carotid intima media thickness in a large study (n = 887) of middle-aged individuals (37). Finally, a recent study confirmed that serum adiponectin levels are associated with indices of subclinical atherosclerosis (such as intima media thickness and arterial compliance) in obese patients (38).

TNF-α levels are increased in both DM (33,34) and obesity (35). We also found increased TNF-α levels in animals receiving a high-fat diet. It is well known and firmly established that TNF-α levels serve as markers of both obesity and cachexia (23,24,39). In the absence of a high-fat diet, TNF-α levels were low and similar to the control group despite the induction of DM I. Again, the reason for this variation may be the lack of similarities at the molecular level between DM I and the streptozotocin-induced diabetes in our model. This finding is in contrast with studies performed on humans with DM I more than 10 years ago, which showed that in patients with DM I, TNF-α levels were elevated compared with nondiabetic individuals and correlated with the quality of glycemic control (40,41).

In our study, although animals fed with a high-fat diet presented with hypercholesterolemia, no difference was observed in leptin and adiponectin levels among diabetic groups with different lipid profiles. This finding is in agreement with the weak correlation between these hormones and levels of total cholesterol. In contrast, TNF-α levels were significantly different between diabetic groups with different lipid profiles. The reason may be the strong correlation between total cholesterol and TNF-α levels. This acute increase of TNF-α levels in subclinical dyslipidemia suggests that TNF-α levels are useful indicators of inflammation and a tool to optimize therapeutic management and reduce diabetic complications.

Adipocytokines have clinical implications as useful markers and potential therapeutic targets of glucose, lipid and cardiovascular abnormalities in all age groups. Serum leptin, adiponectin and TNF-α levels may accurately predict the presence of hyperlipidemia and/or DM in an animal model. We formulated the hypothesis, elaborated in previous studies, that these molecules may serve as prognostic indices in cases of subclinical dyslipidemia/DM I. This theory, however, must be confirmed in human studies before any definitive conclusions can be drawn.

ACKNOWLEDGMENTS

This project was partially supported by the Special Account for Research Grants of the University of Athens (“Kapodistrias” Program). We thank I Habeos for helpful comments and suggestions.

Footnotes

DISCLOSURE

The authors declare that they have no competing interests as defined by Molecular Medicine, or other interests that might be perceived to influence the results and discussion reported in this paper.

Online address: http://www.molmed.org

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