Abstract
Background
Obesity is a worldwide metabolic disorder affecting all types of people. The mechanism by which increased body fat mass that leads to insulin resistance and type 2 diabetes is not yet clearly known. There is a possible crosstalk between leptin, an adipokine and insulin signaling. Leptin mediates insulin sensitivity in hepatocytes; however, its concentration has found to be increased in obese and diabetic subjects. These subjects also have high incidence of oxidative stress status. Therefore, knowing the level of leptin present in obese diabetic subjects will be informative along with its relation to oxidative stress.
Methods
A small population study was performed to explore the association between leptin concentration and oxidative stress status in control and obese type 2 diabetic subjects. Oxidative stress status parameters like malondialdehyde (MDA), superoxide dismutase activity (SOD), glutathione peroxidase activity (GSH-Px), and protein carbonyl (PCO) groups content was measured spectrophotometrically in serum of 43 subjects. Serum Leptin concentration was measured by quantikine sandwich ELISA assay.
Results
The strong positive correlation between MDA (malondialdehyde) and leptin in obese diabetic patients (ρ = 0.787, P < 0.05) suggests close association between lipid peroxidation and hyperleptinemia. In addition, observed positive correlation between protein carbonyl groups and leptin level in obese diabetic subjects (ρ = 0.599, P = 0.001) suggest that hyperleptinemia might also be associated with increased protein oxidation. In multiple logistic regression analysis, leptin has shown a significant association with obese type 2 diabetes [odds ratio (OR): 1.161, 95% confidence interval (Cl): 1.027-1.312, P < 0.05], but the significance is lost after adjusting for Age, BMI, MDA and anti-oxidant parameters.
Conclusions
In the subjects with both obesity and diabetes, there is a significant degree of association between hyperleptinemia and oxidative stress. This association reinforces the existing understanding that obese subjects who also have diabetes are vulnerable to cardiovascular complications driven by increased oxidative stress and hyperleptinemia.
Keywords: Leptin, Malondialdehyde, Glutathione peroxidase, Superoxide dismutase, Protein carbonyl groups, Type 2 diabetes, Obesity
Background
Obesity and diabetes, together called as diabesity, is the ever growing metabolic disorder of industrialized and developing countries. At present, India stands next to China with 63 million diabetic population [1]. The mechanism linking insulin resistance, oxidative stress, adipokines in type 2 diabetes and obese subjects is poorly understood. There is strong evidence that adipocytes play a critical role in metabolism through the secretion of hormones and cytokines that alter whole-body energy homeostasis [2]. Leptin, 16-kDa protein secreted by adipocytes was first identified as the product of a gene designated ob (obese) in laboratory mice [3,4]. In adipocytes, leptin inhibits glucose uptake, impairs lipogenesis, glycogen synthase and inhibits lipolysis [5]. In hepatocytes, leptin triggers insulin-like effects through regulating insulin-signaling pathway [6]. Hence, there is a possible cross talk between leptin and insulin signaling, making hepatocytes more sensitive to insulin. Interestingly, presence of higher leptin levels especially in obese subjects makes them even more resistance to insulin-like effects thus mediating type 2 diabetes in obese subjects. This has been well confirmed in studies showing rise in circulating leptin levels in relation to BMI and percentage total body fat [7,8]. Leptin levels were found to be either same or lower in subjects with diabetes but significantly higher in obese and obese diabetic condition [9,10]. Being an adipokine, leptin levels rise with increasing BMI and body fat, but its relation with diabetes and insulin resistance seems to be intriguing, as individuals who have both obesity and type 2 diabetes exhibit higher leptin levels when compared to obese or diabetic population alone. The mechanism linking this behavior may be contributed in part to oxidative stress. Hyperleptinemia and oxidative stress are the consequences of obesity [11], and may play a role in mediating T2DM in obesity. Studies have shown leptin as a possible mediator of oxidative stress in obese and obese diabetic subjects. Leptin has been shown to correlate strongly with MDA (product of lipid peroxidation) levels in T2DM subjects [10]. Leptin also increases the reactive oxygen species (ROS) in endothelial cells [12]. In fact endothelial dysfunction is one mechanism which can disturb glucose homeostasis via increased oxidative stress [13]. Oxidative stress plays a critical role in the development of type 2 diabetes and associated cardiovascular complications [14,15]. Interestingly administration of leptin was shown to mitigate the expression levels of genes related to oxidative stress and inflammation in the skeletal muscle of ob/ob Mice [16]. Leptin treatment was also shown to reduce lipid peroxidation in STZ-diabetic rats through enhancing the GSH levels [17]. This shows the necessity of leptin in reducing the oxidative stress in muscle tissues and the possible inverse oxidative stress inducing effect due to aberrations in leptin signaling in hyperleptinemia. Also in South Indian population, there is lack of data to clearly explain the relationship between leptin and oxidative stress. Therefore it is of imperative need to analyze the association of hyperleptinemia and oxidative stress in the population with diabetes and obesity. In the present study, we have investigated the possible relationship of leptin with various oxidative stress parameters in obese diabetic and healthy individuals. The serum leptin levels are compared with age, Body Mass Index (BMI), Waist to Hip ratio (WHR), systolic/diastolic blood pressure (BP), Fasting Blood Glucose (FBG), Malondialdehyde (MDA), Superoxide dismutase (SOD), Glutathione peroxidase (GPx) and Protein carbonyl (PCO) content in these groups.
Methods
Subjects
A total of 43 subjects from Gudiyattam, Tamilnadu, India were included in the study. Two groups were selected: control population (n = 17) containing non-obese, non-diabetic subjects and obese type 2 diabetic population (n = 26) containing subjects suffering from both obesity and type 2 diabetes. The criteria for diabetes were based upon WHO/IDF reports on definition and diagnosis of diabetes mellitus [18]. The criteria for obesity were re-defined according to the WHO guidelines which use a BMI of 25 kg/m2 for defining obesity in South Asians [19]. Intra-abdominal obesity was also assessed by measuring waist-to-hip ratio (WHR) which existed if WHR ≥ 1.0 for males and ≥ 0.86 for females [20].
The individuals were asked to reveal their age, gender, blood pressure and other risk factors including arterial hypertension, smoking, hyperlipidemia, current medication and other socioeconomic variables by replying to a series of standard questionnaire. Patients who had experienced clinical infection of renal, hepatic or any malignant disease, myocardial infarction, surgery or major trauma were excluded from the study.
The study was carried out according to the ethical standards of Palar hospital, Gudiyattam and VIT University, Vellore. Written informed consent was obtained from all the individuals participated in the study.
Sample collection and analysis
Venous blood (5 ml) was collected from each individual after over-night fasting (>10 hr). Serum was then obtained, aliquoted and stored at −20°C for further analysis. Glucometer (One touch Horizon™) was used to analyze fasting blood glucose levels. Serum leptin levels were estimated using Leptin ELISA Kit following the manufacturer’s protocol (DRG Instruments, Germany). Lipid peroxidation was measured by estimating serum malondialdehyde (MDA) levels-a thiobarbituric acid reactive substance formed as a byproduct of lipid peroxidation [21].
The assay of Superoxide dismutase (SOD) activity was done by using the procedure of Kakkar et al. [22]. The assay was measured in terms of inhibition of Nitroblue tetrazolium (NBT) reduction by Superoxide dismutase enzyme present in the serum.
Glutathione Peroxidase (GPx) activity was determined as reported by Rotruck et al. [23]. The procedure is based upon a reaction in which the leftover glutathione (GS-SG) present in the serum (after glutathione peroxidase converts monomeric glutathione to glutathione disulphide) reacts with the DTNB (5,5′- dithiobis 2-nitrobenzoic acid) to form a compound which absorbs at 412 nm. The Protein Carbonyl (PCO) group was used as a marker of severe protein oxidation. It involves the derivatization of the carbonyl group with 2,4-dinitrophenylhydrazine (DNPH), which leads to the formation of the stable dinitrophenyl hydrazone product [24].
Statistical analysis
The results were expressed as mean ± S.D. Two-tailed Student’s t-test is employed to determine the significance of the data. Pearson correlation was used to examine the strength of correlation between various risk factors and Leptin levels. Multiple logistic regression analysis was performed using leptin as independent variable and type 2 diabetes and obesity as dependent variable after adjusting for Age, BMI, and oxidative stress parameters. The values were considered as statistically significant if p < 0.05.
Results
Anthropometric measures, clinical and oxidative stress parameters, and leptin concentration of the two populations are presented in Table 1. The level of leptin and MDA is significantly high in obese diabetic population compared to control subjects. Antioxidant defense status as indicated by SOD and GPx activity also decreases in obese diabetic population with SOD showing significant reduction. Protein oxidation as represented by PCO has shown a significant rise in obese diabetic population as compared to control population.
Table 1.
Clinical, oxidative stress status, and leptin levels of the study groups
| Parameter | Control (non-obese, non-diabetic) population | Obese type 2 diabetic population | P-value |
|---|---|---|---|
| Total subjects | n = 17 | n = 26 | |
| Age (years) | 41.2 ± 10.1 | 55.55 ± 8.15 | 0.191 |
| BMI (kg/m2) | 23.40 ± 2.6 | 28.57 ± 3.06 | 0.0002 |
| WHR | 0.975 ± 0.09 | 1.09 ± .07 | 0.004 |
| Systolic blood pressure (mm/hg) | 144.4 ± 23.5 | 153.7 ± 28.7 | 0.955 |
| Diastolic blood pressure (mm/hg) | 98.4 ± 17.7 | 88.4 ± 12.69 | 0.373 |
| FBG (mg/dl) | 95.4 ± 12.0 | 171.23 ± 41.46 | 0.008 |
| Leptin (ng/ml) | 12.03 ± 7.4 | 26.85 ± 13.11 | 0.003 |
| MDA (μM) | 1.50 ± 0.51 | 1.99 ± 0.7 | 0.003 |
| SOD activity (U/ml) | 2.99 ± 0.98 | 1.92 ± 1.19 | 0.001 |
| GSH Px Activity (U/ml) | 0.173 ± 0.01 | 0.16 ± 0.02 | 0.818 |
| Protein carbonyls’ content (μM/Litre) | 8.99 ± 0.06 | 10.71 ± 3.9 | 0.0007 |
Data are expressed as mean ± SD, p < 0.05 is considered as statistically significant for all the groups compared to control.
To analyze the influence of oxidative stress parameters on leptin levels, Pearson correlation is performed (Table 2). The strong correlation between BMI and leptin levels in both the population (control: r = 0.646, P < 0.01; obese diabetic: r = 0.806; P < 0.001) has clearly shown the effects of BMI on leptin concentration. There is a significant strong correlation exist between MDA and leptin levels in obese diabetic population (r = 0.787, P = <0.001). Antioxidant defense status (SOD and GPx activity) has shown negative correlation and protein oxidation (PCO content) has shown positive correlation with leptin levels in obese diabetic subjects.
Table 2.
Correlation between leptin concentrations and the parameters of oxidative stress status
| Variables | Control (non-obese, non-diabetic) population (n = 17) | Obese diabetic population (n = 26) | ||
|---|---|---|---|---|
| Pearson’s coefficient | P | Pearson’s coefficient | P | |
| Age (years) | −0.624 | 0.053 | 0.479 | 0.243 |
| BMI | 0.646 | 0.005 | 0.806 | 0.0001 |
| WHR | −0.819 | 0.058 | 0.450 | 0.302 |
| FBG (mg/dl) | −0.001 | 0.999 | −0.272 | 0.179 |
| MDA (μM) | 0.256 | 0.322 | 0.787 | 0.0001 |
| SOD activity (U/ml) | −0.116 | 0.657 | −0.190 | 0.353 |
| GPx activity (U/ml) | 0.010 | 0.970 | −0.690 | 0.069 |
| nM/mg | 0.249 | 0.335 | 0.599 | 0.001 |
Pearson Correlation coefficient are indicated, p < 0.05 is considered as statistically significant.
In multiple logistic regression model (Table 3), leptin has shown a significant association with obese type 2 diabetes [odds ratio (OR): 1.161, 95% confidence interval (Cl): 1.027-1.312, P < 0.05], but the significance is lost after adjusting for Age, BMI, MDA and anti-oxidant parameters.
Table 3.
Multiple logistic regression analysis with obese type 2 diabetes as dependent variable and leptin as independent variable
| Variable | Odds ratio (OR) | 95% confidence interval (Cl) | P -value |
|---|---|---|---|
| Leptin-Unadjusted | 1.161 | 1.027-1.312 | 0.017 |
| Adjusted for Age | 1.110 | 0.948-1.298 | 0.195 |
| Adjusted for BMI | 0.793 | 0.341-1.844 | 0.590 |
| Adjusted for MDA | 0.326 | 0.035-3.050 | 0.326 |
| Adjusted for SOD | 0.449 | 0.160-1.263 | 0.129 |
| Adjusted for PCO | 1.413 | 0.763-2.617 | 0.271 |
Odds ratio values and p values are indicated, p < 0.05 considered as statistically significant for all the groups compared to control.
Discussion
This study aims to explore the possible association of leptin with oxidative stress status in normal and obese type 2 diabetic population. It has clearly presented the following case: Leptin is positively correlated with BMI in both the population. Leptin is positively correlated with lipid peroxidation and protein oxidation in obese type 2 diabetic population. Leptin is also a strong predictor of obese type 2 diabetes with BMI, WHR and oxidative stress status.
Leptin is an adipokine known to regulate energy expenditure and keep body fit and healthy [25]. On the contrary, biologically it is also an active mediator of type 2 diabetes and so its exact role in the development of insulin resistance still remains unclear [26]. In our study, obese diabetic individuals have significantly higher levels of circulatory leptin. The same group is also characterized by reduced antioxidative activity, increased lipid peroxidation, and higher protein oxidation as indicated by SOD/GSH-Px, MDA and PCO levels. This strongly indicates the role of metabolic stress on circulatory leptin levels.
MDA, a major toxic TBARS (Thiobarbituric acid reactive substances) product were measured in our volunteers as an index of lipid peroxidation. It has been shown that hyperleptinemia plays a key role in the formation of lipid peroxides thus mediating oxidative stress, corroborated by the previous observation that leptin increased the oxidative stress in tissues where there is high rate of fatty acid oxidation, including muscle tissues [27]. In results of correlation analysis (Table 2) leptin is strongly correlated with MDA in both the population suggesting an association of lipid peroxidation and leptin. This association is even greater for obese diabetic individuals indicating that these people are under severe oxidative stress.
There is a general understanding that BMI is a strong predictor of obesity. But WHR (Waist to Hip ratio) is also a useful indicator of intra-abdominal obesity. Our data, however, confirmed that BMI alone may be a strong predictor of clinical manifestations of obesity as a strong and significant correlation exists between leptin and BMI in obese diabetic population.
To evaluate the antioxidant potential of human subjects against the superoxide radical, we have measured in vitro SOD activity and correlated with serum leptin levels. The SOD activity is significantly decreased in obese diabetic condition compared to healthy subjects (Table 1). This agrees with the earlier report of low SOD activity in type 2 diabetic patients [28]. Glutathione peroxidase has also been assessed for its peroxidase activity in serum, i.e., to reduce free hydrogen peroxide to water. Our results have also shown a decrease in the peroxidase activity of the enzyme in obese diabetic subjects (Table 1). However, we failed to establish a significant relationship between leptin, SOD and GSH-Px in the correlation analysis.
Another important marker of oxidative stress is protein carbonylation measured through estimating protein carbonyl groups content (PCO) in serum. Measuring PCO group is advantageous over other biomarkers of oxidative stress due to their early formation and detectable stability arising from protein side chains (Pro, Arg, Lys, and Thr). It has been shown that PCO level increases in diabetic patients as compared to healthy volunteers [29]. We also observed a significant increase in protein oxidation in the patient group as compared to normal healthy group (Table 1). In fact, PCO levels show a strong and significant correlation with leptin among obese diabetic individuals, making them vulnerable to the effects of hyperleptinemia.
Thus we have observed a close association between hyperleptinemia and oxidative stress in obese diabetic subjects. Previous finding on leptin induced oxidative stress via increased fatty acid oxidation corroborates this observation [30]. Obese diabetic subjects are more vulnerable to cardiovascular complications further driven by increased oxidative stress and hyperleptinemia [31]. It is hard to say without any in vivo model that whether it is hyperleptinemia which induces oxidative stress in obese subjects and makes them susceptible to insulin resistance or is it oxidative stress which is causing an abrupt increase in leptin, thus mediating its harmful effects. Since leptin seems to be more of a protective hormone [32], we can speculate that may be oxidative stress induced hyperleptinemia causes an aberrant leptin signaling (leptin resistance), thus rendering leptin from its protective effects and inducing insulin resistance in obese people.
Hence, our current study on a small Indian population warrants the need for the prospective studies to understand the association between oxidative stress and hyperleptinemia.
Conclusions
In the subjects with both obesity and diabetes, there is a significant degree of association between hyperleptinemia and oxidative stress. This association reinforces the existing understanding that obese subjects who also have diabetes are vulnerable to cardiovascular complications driven by increased oxidative stress and hyperleptinemia.
Acknowledgements
Thanks to VIT University for providing the lab space.
Footnotes
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
GP carried out all the experiments and drafted the manuscript. MSS helped to perform the statistical analysis. HPD assisted in the antioxidant experiments. ET helped in sample collection and helped to refine the manuscript. KT conceived of the study, and participated in its design and coordination and helped to draft the manuscript. All authors read and approved the final manuscript.
Contributor Information
Gautam Pandey, Email: gautam.pandey008@gmail.com.
Mohamed Sham Shihabudeen, Email: shamphilics@gmail.com.
Hansi Priscilla David, Email: hansimilton@gmail.com.
Ethirajan Thirumurugan, Email: m.kavitha@vit.ac.in.
Kavitha Thirumurugan, Email: kavithiru@gmail.com.
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