Obesity is a major public health problem given the complications and socioeconomic impact it causes [1-3]. Approximately 500 million people worldwide suffer from obesity with a significantly female predominance. According to the latest World Health Organization estimates, obesity affects 16.4% of the population in Australia, 16.9% in France, 2.9% in China, 30.3% in Egypt, 35.6% in Saudi Arabia, and 0.5% in Vietnam [4, 5]. Tunisia is undergoing epidemiological transition to chronic diseases and malnutrition, which are reflected in a rapid increase in the prevalence of obesity [6]. The National Survey effect of Nutrition conducted in 1996-1997 showed that the overall prevalence of obesity in Tunisia is in the order of 14% with a female predominance [6]. The discovery of leptin in 1994 and ghrelin in 1999 increased understanding the pathophysiology of obesity and provided new opportunities for the treatment and fight against this disease [7-9]. Indeed, these two hormones, with their opposing properties, play a crucial role in regulating body weight and energy balance. The adipokine leptin is synthesized by adipose tissue in proportion to fat mass and is an anorectic hormone contributing to the inhibition of appetite and increase of energy expenditure. Ghrelin, synthesized by the stomach, is the only known peripheral orexigenic hormone [9]. Leptin and ghrelin appear to interact with glucose and lipid metabolism [10-12]. Leptin has been well studied. For developing countries, we are among the first, in Tunisia, to study the levels of ghrelin in obese patients.
The objectives of this work were to determine through a case–control study the levels of leptin, ghrelin, and lipid variables in a group of obese women compared with a control group of healthy women; and to explore the existence of possible correlations between leptin, ghrelin, BMI, and lipid variables among Tunisians.
After approval of the National Ethics Committee for the implementation of this study, we recruited 40 obese women and 20 female controls. They were matched by age. Obese women were recruited from nursing unit “C” of the National Institute of Nutrition and Food Technology (INNTA). A woman was considered obese when her body mass index (BMI) was greater than 30. Women selected for the survey were informed in advance about study objectives and showed no pathology or metabolic complication other than obesity. The healthy control group was recruited from women accompanying patients and who also agreed to participate in the survey. As motivation, they received results of their conventional laboratory tests, all gave their written consent to participate. It should be noted that, at the beginning of our investigation, we had the agreement of 45 women who were considered healthy after physical examination by the team physician, but 25 women withdrew during the blood taking phase.
We used a form to collect anthropometric data. Each woman was weighed 2 consecutive times using a calibrated scale and their height was measured. The average of these measurements was calculated. Blood samples were taken from an antecubital vein after a 12 hour fast. The measured biochemical variables were: total cholesterol (TC), triglycerides (TG), high-density lipoprotein-cholesterol (HDL-C), fasting blood glucose, and low-density lipoprotein-cholesterol (LDL-C). Blood glucose determination was by an enzymatic glucose oxidase method using a Beckman kit on Beckman Synchron CX9 analyzer. TGs were determined using a Beckman Synchron Cx7 kit. (Beckman Coulter, Brea, CA, USA). TC was measured using a cholesterol oxidase kit adapted to a Beckman Synchron CX9 analyzer. The HDL-cholesterol was determined using a Randox kit with a Beckman Synchron CX9. LDL-cholesterol was calculated using the Friedwald formula [LDL = CT – (TG/5 + HDL-C) with the condition TG < 4 g/L]. Ghrelin was measured using a radioimmunoassay (GHRA-88HK, Linco Research, Inc, MO, USA) for active ghrelin with a sensitivity of 7.8 pg/mL. Leptin was measured using a radioimmunoassay (HL-81HK, Millipore) with a sensitivity ranging from 0.5 ng/mL to 100 ng/mL.
Data were analyzed with SPSS software, version 11.5 (SPSS Inc, Chicago, IL, USA). Comparisons of distributions of two numeric variables were conducted using a nonparametric Mann–Whitney
To determine the threshold-value of ghrelin that increases the risk of obesity, we have established a receiver operating characteristics (ROC) curve. After verifying that the area under the curve was significant (>0.50), we have identified the value of ghrelin, which maximizes the pair “sensitivity–specificity”. We calculated the odds ratio, associated with this value.
Multivariate backward linear regression analysis was conducted with ghrelin as a dependent variable and BMI, HDL-cholesterol, LDL-cholesterol, glucose, and leptin as independent variables. For all tests,
As shown in
Comparison of mean lipid parameters, ghrelin, and leptin in obese women and controls HDL = high-density lipoprotein, LDL = low-density lipoprotein, SD = standard deviationParameters Obese women (Mean ± SD) Controls (Mean ± SD) Total cholesterol (mmol/L) 5.04 ± 1.10 4.52 ± 1.05 0.08 HDL-cholesterol (mmol/L) 1.03 ± 0.25 1.19 ± 0.14 <0.01 LDL-cholesterol (mmol/L) 3.37 ± 0.61 2.70 ± 0.83 <0.001 Triglycerides (mmol/L) 1.95 ± 0.84 1.51 ± 0.91 0.06 Glucose (mmol/L) 7.95 ± 0.52 5.91 ± 1.05 <0.001 Leptin (ng/mL) 19.35 ± 5.78 4.68 ± 1.88 <0.001 Ghrelin (pg/mL) 29.63 ± 9.62 56.02 ± 23.60 <0.001 40 20
Correlations between leptin, ghrelin, and other measured biochemical variables in obese women group are summarized in
Correlations between leptin, ghrelin, and other parameters HDL-chol = high-density lipoprotein cholesterol, LDL-chol = low-density lipoprotein cholesterol, TG = triglycerides, BMI = body mass indexLeptin HDL-chol LDL-chol TG Ghrelin BMI Glucose Leptin - - Ghrelin r = 0.64 r = –0.423 - –
Following the univariate study, we used a ROC curve (
Determination of risk corresponding to the threshold of ghrelin from the receiver operating characteristic (ROC) curve Se = Sensitivity, Sp = specificity; χ2 = 20; Obese women Group control <44.4 pg/mL 32 4 Se = 80% 20% ≥44.4 pg/ml 8 16 20% Sp = 80% Total 40 20
After identifying the correlations between ghrelin, BMI, leptin, glucose, HDL-cholesterol and LDL-cholesterol, we performed a multivariate linear regression analysis using backward method. We introduced ghrelin as the dependent variable and BMI, blood glucose, HDL-cholesterol, LDL-cholesterol and leptin as explanatory variables. Our results showed that HDL-cholesterol, LDL-cholesterol, and blood glucose are significantly associated with ghrelin in obese women.
We showed that circulating levels of HDL-cholesterol and ghrelin were significantly lower in the obese group. The plasma level of leptin was proportional to fat mass quantities and ghrelin, and seem to be modulated by the state of energy balance. To remedy obesity, there should be an increased production of leptin and a decreased production of ghrelin, thus reducing food (caloric) intake and increasing energy expenditure.
We found a significant positive correlation between plasma levels of leptin and BMI in the two groups (obese:
Our results confirm the existence of a significant negative correlation between plasma levels of ghrelin and BMI for both groups studied (obese:
A significant positive correlation was found between leptin and glucose levels in the two groups (obese:
Our data also showed a significant negative correlation between circulating levels of ghrelin and glucose in the obese group. These results are consistent with those found by Purnell et al. [26] and Kellokoski et al. [35]. By contrast, Eizadi et al. [36] and Zwirska-Korczala et al. [37] failed to find a correlation between these two variables. This discrepancy may be related to differences between the various populations studied. Despite the lack of concordance between the results of our univariate analysis and data from the literature, this direct correlation persisted after the completion of the multivariate analysis.
Circulating levels of leptin showed a significant positive correlation with LDL-cholesterol in both groups (obese:
Plasma levels of LDL-cholesterol are negatively correlated with those of ghrelin, but significant
only for the obese group (r = –0.42,
We found that leptin was significantly and negatively correlated with ghrelin in both groups (obese:
Further studies are needed to explore the characteristics of the Tunisian population and to better understand the variables in the development and dynamics of obesity in Tunisian women.
We declare that there is no conflict of interest in our work.