SciELO - Scientific Electronic Library Online

vol.26 número2El estado de activación celular influye en la modulación de la expresión del HLA-DR sobre la superficie de monocitos/macrófagos humanos por una emulsión lipídica parenteral de aceite de pescadoImportancia del equilibrio del índice omega-6/omega-3 en el mantenimiento de un buen estado de salud: Recomendaciones nutricionales índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados




Links relacionados

  • En proceso de indezaciónCitado por Google
  • No hay articulos similaresSimilares en SciELO
  • En proceso de indezaciónSimilares en Google


Nutrición Hospitalaria

versión On-line ISSN 1699-5198versión impresa ISSN 0212-1611

Nutr. Hosp. vol.26 no.2 Madrid mar./abr. 2011




Roles of G1359A polymorphism of the cannabinoid receptor gene (CNR1) on weight loss and adipocytokines after a hypocaloric diet

Papel del polimorfismo G1359A del gen del receptor endocanabinoide tipo 1 (CNR1) en la perdida de peso y adipocitoquinas tras una dieta hipocalórica



D. A. De Luis, M. González Sagrado, R. Aller, R. Conde, O. Izaola, B. de la Fuente and D. Primo

Instituto de Endocrinología y Nutrición. Facultad de Medicina. Unidad de Apoyo a la Investigación. Hospital Río Hortega. Universidad of Valladolid. Valladolid. Spain.





Background: A intragenic biallelic polymorphism (1359 G/A) of the CB1 gene resulting in the substitution of the G to A at nucleotide position 1359 in codon 435 (Thr), was reported as a common polymorphism in Caucasian populations. Intervention studies with this polymorphism have not been realized.
Objective: We decided to investigate the role of the polymorphism (G1359A) of CB1 receptor gene on adipocytokines response and weight loss secondary to a lifestyle modification (Mediterranean hypocaloric diet and exercise) in obese patients.
Design: A population of 94 patients with obesity was analyzed. Before and after 3 months on a hypocaloric diet, an anthropometric evaluation, an assessment of nutritional intake and a biochemical analysis were performed. The statistical analysis was performed for the combined G1359A and A1359A as a group and wild type G1359G as second group, with a dominant model.
Results: Forty seven patients (50%) had the genotype G1359G (wild type group) and 47 (50%) patients G1359A (41 patients, 43.6%) or A1359A (6 patients, 6.4%) (mutant type group) had the genotype. In wild and mutant type groups, weight, body mass index, fat mass, waist circumference and systolic blood pressure decreased. In mutant type group, resistin (4.15 ± 1.7 ng/ml vs. 3.90 ± 2.1 ng/ml: P < 0.05), leptin (78.4 ± 69 ng/ml vs 66.2 ± 32 ng/ml: P < 0.05) and IL-6 (1.40 ± 1.9 pg/ml vs 0.81 ± 1.5 pg/ml: P < 0.05) levels decreased after dietary treatment.
Conclusion: The novel finding of this study is the association of the mutant allele (A1359) with a decrease of resistin, leptin and interleukin-6 secondary to weight loss.

Key words: Adipocytokines. Cannabinoid receptor gene. Hypocaloric diet. Obesity.


Antecedentes: Un polimorfismo intragénico (1359 G / A) del gen del receptor CB1 que produce la sustitución en la posición 1359 en el codón 435 (Thr), se ha descrito como un polimorfismo común en poblaciones caucásicas. No se han realizado estudios de intervención dietética teniendo en cuenta este polimorfismo.
Objetivo: Se decidió investigar el papel del polimorfismo (G1359A) del gen del receptor CB1 en la respuesta a las adipocitoquinas y la pérdida de peso secundaria a una modificación de estilo de vida (dieta mediterránea hipocalórica y ejercicio) en pacientes obesos.
Diseño: Se analizó una población de 94 pacientes con obesidad. Antes y tras 3 meses con una dieta hipocalórica se realizaron una evaluación antropométrica, una evaluación de la ingesta nutricional y un análisis bioquímico. El análisis estadístico se realizó combinando G1359A y A1359A como grupo mutado y G1359G como genotipo (modelo dominante).
Resultados: Cuarenta y siete pacientes (50%) tenían el genotipo G1359G (grupo genotipo salvaje) y 47 (50%) pacientes G1359A (41 pacientes, 43,6%) o A1359A (6 pacientes, 6,4%) (grupo genotipotipo mutante). En los grupos con genotipo salvaje y mutante, el peso, índice de masa corporal, la masa grasa, la circunferencia de la cintura y la presión arterial sistólica disminuyeron. En el grupo con genotipo mutante, la resistina (4,15 ± 1,7 ng/ml vs 3,90 ± 2,1 ng/ml: p < 0,05), leptina (78,4 ± 69 ng/ml vs 66,2 ± 32 ng/ml: P < 0,05) y la IL-6 (1,40 ± 1,9 pg/ml vs 0,81 ± 1,5 pg/ml: P < 0,05) disminuyeron después del tratamiento dietético.
Conclusión: El resultado más importante es la asociación del alelo mutado con una disminución de los niveles de resistina, leptina e interleukina-6 tras la perdida de peso con la dieta.

Palabras clave: Adipocitoquinas. Receptor canabinoide. Dieta hipocalórica. Obesidad.



Weight reduction is known to be an effective treatment for overweight-obese patients with risk factors of metabolic syndrome and adipocytokines.1 The current view of adipose tissue is that of an active secretor organ, sending out and responding to signals that modulate appetite, insulin sensitivity, energy expenditure, inflammation and immunity.

In this scenario, the important role played by endo-cannabinoid system is emerging: it controls food intake, energy balance and lipid and glucose metabolism through both central and peripheral effects, and stimulated lipogenesis and fat accumulation. Herbal Cannabis sativa (marijuana) has been known to have many psychoactive effects in humans including increases in body weight.2 Nevertheless, the mechanism underlying cannabinoid neurobiological effects have been recently revealed.3 The endogenous cannabinoid system mediates and it's positioned both functionally and anatomically4 to be an important modulator of normal human brain behavior. This system consists of endogenous ligands 2-arachidonoylglycerol (2-AG) and anandamide (ADA) and two types of G-protein-coupled cannabinoid receptors: Cannabinoid type-1 receptor (CB1), located in several brain areas and in a variety of peripheral tissues including adipose tissue, and CB2, present in the immune system.5 A greater insight into the endocannabinoid system has been derived from studies in animals with a genetic deletion of the CB1 receptor, which have a lean pheno-type and are resistant to diet-induced obesity and the associated insulin resistance induced by a high palatable high-fat diet.6 A silent intragenic biallelic polymorphism (1359 G/A) of the CB1 gene resulting in the substitution of the G to A at nucleotide position 1359 in codon 435 (Thr), was reported as a common polymorphism in the German population,7 reaching frequencies of 24-32% for the allele (A).

Considering the evidence that endogenous cannabi-noid system plays a role in metabolic aspects of body weight and feeding behavior8 and that long-term maintenance of body weight is determined by balance between energy intake and expenditure. We decide to investigate the role of the polymorphism (G1359A) of CB1 receptor gene on adipocytokines response and weight loss secondary to a lifestyle modification (Mediterranean hypocaloric diet and exercise) in obese patients.


Subjects and methods


A population of 94 obesity (body mass index > 30) non-diabetic outpatients was analyzed in a prospective way. These patients were recruited in a Nutrition Clinic Unit. This study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving patients were approved by the HURH ethics committee. Written informed consent was obtained from all patients. Exclusion criteria included history of cardiovascular disease or stroke during the previous 36 months, total cholesterol > 300 mg/dl, triglycerides > 400 mg/dl, blood pressure > 140/90 mmHg, fasting plasma glucose > 110 mg/dl, as well as the use of sulphonylurea, thiazolidinedions, insulin, glucocorticoids, antineoplastic agents, angiotensin receptor blockers, angiotensin converting enzyme inhibitors and psychoactive medications. Local ethical committee approved the protocol.


The lifestyle modification program was a hypocaloric diet (1,520 kcal, 52% of carbohydrates, 25% of lipids and 23% of proteins) and exercise. The exercise program consisted of aerobic exercise for at least 3 times per week (60 minutes each).

Weight, blood pressure, fasting glucose, c-reactive protein (CRP), insulin, insulin resistance (HOMA), total cholesterol, LDL-cholesterol, HDL-cholesterol, plasma triacylgycerol concentration and adipocy-tokines (leptin, adiponectin, resistin, TNF alpha, and interleukin 6) levels were measured at basal time. A tetrapolar bioimpedance, an indirect calorimetry and a prospective serial assessment of nutritional intake with 3 days written food records were realized. Genotype of CB1 receptor gene polymorphism was studied.

Genotyping of CB1 gene polymorphism

Oligonucleotide primers and probes were designed with the Beacon Designer 4.0 (Premier Biosoft International®, LA, CA). The polymerase chain reaction (PCR) was carried out with 50 ng of genomic DNA, 0.5 uL of each oligonucleotide primer (primer forward: 5'-TTC ACA GGG CCG CAG AAA G-3' and reverse 5'-GAG GCA TCA GGC TCA CAG AG-3'), and 0.25 uL of each probes (wild probe: 5'-Fam-ATC AAG AGC ACG GTC AAG ATT GCC-BHQ-1-3') and (mutant probe: 5'-Texas red- ATC AAG AGC ACA GTC AAG ATT GCC -BHQ-1-3') in a 25 uL final volume (Termociclador iCycler IQ (Bio-Rad®), Hercules, CA). DNA was denaturated at 95oC for 3 min; this was followed by 50 cycles of denaturation at 95oC for 15 s, and annealing at 59.3o for 45 s). The PCR were run in a 25 uL final volume containing 12.5 uL of IQTM Supermix (Bio-Rad®, Hercules, CA) with hot start Taq DNA polymerase. Hardy Weimberger equilibrium was assessed.


Plasma glucose levels were determined by using an automated glucose oxidase method (Glucose analyser 2, Beckman Instruments, Fullerton, California). Insulin was measured by RIA (RIA Diagnostic Corporation, Los Angeles, CA) with a sensitivity of 0.5 mUI/L (normal range 0.5-30 mUI/L)9 and the homeostasis model assessment for insulin sensitivity (HOMA) was calculated using these values.10

CRP was measured by immunoturbimetry (Roche Diagnostics GmbH, Mannheim, Germany), with a normal range of (0-7 mg/dl) and analytical sensivity 0.5 mg/dl. Lipoprotein (a) was determined by immunoneph-elometry with the aid of a Beckman array analyzer (Beckman Instruments, Calif., USA).

Serum total cholesterol and triglyceride concentrations were determined by enzymatic colorimetric assay (Technicon Instruments, Ltd., New York, N.Y., USA), while HDL cholesterol was determined enzymatically in the supernatant after precipitation of other lipoproteins with dextran sulfate-magnesium. LDL cholesterol was calculated using Friedewald formula.


Resistin was measured by ELISA (Biovendor Laboratory, Inc., Brno, Czech Republic) with a sensitivity of 0.2 ng/ml with a normal range of 4-12 ng/ml.11 Leptin was measured by ELISA (Diagnostic Systems Laboratories, Inc., Texas, USA) with a sensitivity of 0.05 ng/ml and a normal range of 10-100 ng/ml.12 Adiponectin was measured by ELISA (R & D systems, Inc., Mineapolis, USA) with a sensitivity of 0.246 ng/ml and a normal range of 8.65-21.43 ng/ml.13 Interleukin 6 and TNF alpha were measured by ELISA (R & D systems, Inc., Mineapolis, USA) with a sensitivity of 0.7 pg/ml and 0.5 pg/ml, respectively. Normal values of IL6 was (1.12-12.5 pg/ml) and TNF-alpha (0.5-15.6 pg/ml).14-15

Indirect calorimetry

For the measurement of resting energy expenditure, subjects were admitted to a metabolic ward. After a 12 h overnight fast, resting metabolic rate was measured in the sitting awake subject in a temperature-controlled room over one 20 min period with an open-circuit indirect calorimetry system (standardized for temperature, pressure and moisture) fitted with a face mask (MedGem;Health Tech, Golden, USA), coefficient of variation 5%. Resting metabolic rate (kcal/day) and oxygen consumption (ml/min) were calculated.16

Anthropometric measurements

Body weight was measured to an accuracy of 0.5 kg and body mass index computed as body weight/(height2). Waist (narrowest diameter between xiphoid process and iliac crest) and hip (widest diameter over greater trochanters) circumferences to derive waist-to hip ratio (WHR) were measured, too. Tetrapolar body electrical bioimpedance was used to determine body composition with an accuracy of 50 g.17 An electric current of 0.8 mA and 50 kHz was produced by a calibrated signal generator (Biodynamics Model 310e, Seattle, WA, USA) and applied to the skin using adhesive electrodes placed on right-side limbs. Resistance and reactance were used to calculate total body water, fat and fat-free mass.

Blood pressure was measured twice after a 10 minutes rest with a random zero mercury sphygmo-manometer, and averaged.

Dietary intake and habits

Patients received prospective serial assessment of nutritional intake with 3 days written food records. All enrolled subjects received instruction to record their daily dietary intake for three days including a weekend day. Handling of the dietary data was by means of a personal computer equipped with personal software, incorporating use of food scales and models to enhance portion size accuracy. Records were reviewed by a dietitian and analysed with a computer-based data evaluation system. National composition food tables were used as reference.18 Regular aerobic physical activity (walking was allowed, no other exercises) was maintained during the period study for at least 3 times per week (60 minutes each).

Statistical analysis

Sample size was calculated to detect differences over 2 kg in body weight with 90% power and 5% significance (n = 90, 45 in each group). The results were expressed as average standard deviation. The distribution of variables was analyzed with Kolmogorov-Smirnov test. Quantitative variables with normal distribution were analyzed with a two-tailed Student's-t test. Non-parametric variables were analyzed with the U-Mann-Whitney test. Qualitative variables were analyzed with the chi-square test, with Yates correction as necessary, and Fisher's test. The statistical analysis was performed for the combined G1359A and A1359A as a group and wild type G1359G as second group, with a dominant model. A p-value < 0.05 was considered significantly.



Ninety four patients gave informed consent and were enrolled in the study. The mean age was 45.2 ± 17 years and the mean BMI 34.4 ± 5.1, with 24 males (25.5%) and 70 females (74.5%).

All subjects were weight stable during the 2 weeks period preceding the study (body weight change, 0.23 ± 0.1 kg). Forty seven patients (50%) had the genotype G1359G (wild type group) and 47 (50%) patients G1359A (41 patients,43.6%) or A1359A (6 patients, 6.4%) (mutant type group) had the genotype. Age was similar in both groups (wild type: 42.95 ± 16.6 years vs mutant group: 45.1 ± 16.8 years:ns). Sex distribution was similar in both groups, males (23.4% vs 27.7%) and females (76.6% vs 72.3%).

Table I shows the differences in anthropometric variables. No differences were detected among basal and post-treatment values of anthropometric variables between both genotypes. In wild and mutant type groups, weight, body mass index, fat mass, waist circumference and systolic blood pressure decreased.

Table II shows the classic cardiovascular risk factors. No differences were detected among basal and post-treatment values of biochemical variables between both genotypes. The improvement in all variables was not statistically significant.

Table III shows nutritional intake with 3 days written food records. No statistical differences were detected in calorie, carbohydrate, fat, and protein intakes. Aerobic exercise per week was similar in both groups, with a significant increase during the protocol.

Table IV shows levels of adipocytokines. No differences were detected among basal values of cytokines variables between both genotypes. In mutant type group, resistin, leptin and IL-6 levels decreased after dietary treatment.



The finding of this study is the association of the G1359A and A1359A CB1 genotypes with a significant decrease on leptin, resistin and IL-6 levels after weight loss.

We do not know how the A1359 allele may exert an influence on adipocytokines levels before weight loss. However, the literature supports the notion that endo-cannabinoid system is positioned for regulation of endocannabinoid levels that could influence craving and reward behaviors through the relevant neuronal circuitry and metabolic parameters.19 This provide a link between the consequences of this polymorphism and the present study indicating that the CB1 receptor G1359A polymorphism may be one risk factor for susceptibility to obesity and metabolic abnormalities. Also, the CB1 receptor is expressed in some peripheral human tissue studied in relation to the pathogenesis of obesity and obesity-associated metabolic disorders and marked down-regulation of the fatty acid amide hydro-lase (FAAH) gene expression was found in the adipose tissue, suggesting that adipose tissue may be an important contributor to endocannabinoid metabolism, with unknown relations between this system and adipocytokines.20

In our study the prevalence of GA genotype was (41%), similar that other studies; 43.5%,21 19.6%22 and 33.1%.23 However, a lack of association between body mass index and this polymorphism is present in our results; this fact is in contrast with the association detected by Gazerro et al.21 with SNP G1359A of CB1 receptor, A3813A and A4895A SNPs of CB1 receptor24 and with (G1422A) SNP of CB1 receptor.25 Benzinou et al.26 shows a positive correlation of the A10908G and T5489C polymorphisms with obesity in two obese populations. The inconsistencies between association studies may reflect the complex interactions between multiple population-specific genetic and environmental factors. Perhaps, these different results could be explained by bias secondary to an unmeasured dietary intake. These previous studies would require composition analysis of the diet to determine whether dietary components could be responsible for the lipid profile modifications. In our study dietary intake did not show basal statistical differences between groups, and a hypocaloric diet has been used as an intervention therapy.

Ravinet et al.6 found that CB-1 gene-deficient mice were lean and resistant to diet-induced obesity and showed reduced plasma insulin and leptin levels. In our patients, leptin, resistin and IL-6 levels decreased secondary to weight loss in obese patients carrying the mutant type CB1 allele (G/A and A/A). This metabolic relationship between the polymorphism and cardiovascular risk factors has been detected by the next study. Alberle et al.22 have shown that carriers of at least one A allele in CB1 lost more weight and reduced LDL cholesterol than wild type patients. However this study did not measure adipocytokines to explore this data.

The theorical explanation of this relationship with adipocytokines could be due by the own adipose tissue metabolism. Cannabinoids modulate the expression of several cellular target genes via the CB1 receptor dependent pathway. In brown adipose tissue, cannabi-noid antagonist treatment is able to stimulate the expression of genes favoring energy dissipation through mitochondrial heat production.27 Other evidence of this interaction (metabolism of adipose tissue and endocanabinoid system is the increase expression of adiponectin induced by CB1 antagonists, in vitro, in 3T3 F442A adipocytes28 and in vivo obese mice,29 suggests a close relationship between CB1 receptor blockade and the production of this adipocyte-derived protein. Rimonabant (a selective CB1-receptor blockade) has demonstrated an increase in adiponectin levels in the RIO-Lipids study.30

Other possible links have been investigated in animal models. Thanos et al.31 have demonstrated that lep-tin receptor deficiency is associated with upregulation of cannabinoid 1 receptors in limbic brain regions. In other animal model,32 a novel hormonal crosstalk between leptin and glucocorticoids that rapidly modulates synaptic excitation via endocannabinoid release in hypothalamus and provides a nutritional state-sensitive mechanism has been described.

In conclusion, the novel finding of this study is the association of the mutant allele (A1359) with a decrease of resistin, leptin and interleukin-6 secondary to weight loss. Further studies are needed to elucidate this complex relationship and the theorical therapeuti-cally implications.



1. De Luis DA, Aller R, Izaola O, González Sagrado, Conde R, Pérez Castrillon JL. Effects of lifestyle modification on adipocytokine levels in obese patients. Eur Rev Med Pharmacol Sci 2008; 12: 33-39.         [ Links ]

2. Ameri A. The effects of cannabinnoids on the brain. Prog Neurobiol 1999; 58: 315-348.         [ Links ]

3. Brown SM, Warger-Miller J, Mackie K. Cloning and molecular characterization of the rat CB2 cannabinoid receptor. Biochim Biophys Acta 2002; 1576: 255-264.         [ Links ]

4. Fride E. Endocannabinoids in the central nervous system an overview. Prostaglandins Leukot Essent Fatty acids 2002; 66:221-233.         [ Links ]

5. Felder CC, Glass M. Cannabinoid receptors and their endogenous agonists. Ann Rev Pharmacol Toxicol 1998: 38: 179-200.         [ Links ]

6. Ravinet TC, Delgorge C, Menet C, Arnone M, Soubrie P,. CB1 cannabinoid receptor knockout in mice leads to leanness, resistance to diet-induced obesity and enhanced leptin sensitivity. Int J Obes Relat Metab Disord 2004; 28: 640-648.         [ Links ]

7. Gadzicki D, Muller-Vahl K, Stuhrmann M. A frequent polymorphism in the coding exon of the human cannabinoid receptor (CNR1) gene. Mol Cell Probes 1999; 13: 321-323.         [ Links ]

8. Duart MJ, Arroyo CO, Moreno JL. Validation of a insulin model for the reactions in RIA. Clin Chem Lab Med 2002; 40: 1161-1167.         [ Links ]

9. Duart MJ, Arroyo CO, Moreno JL. Validation of a insulin model for the reactions in RIA. Clin Chem Lab Med 2002; 40: 1161-1167.         [ Links ]

10. Mathews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher Df. Homesotasis model assessment: insulin resistance and beta cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985; 28: 412-414.         [ Links ]

11. Pfutzner A, Langefeld M, Kunt T, Lobig M. Evaluation of human resistin assays with serum from patients with type 2 diabetes and different degrees of insulin resistance. Clin lab 2003;49: 571-576.         [ Links ]

12. Meier U, Gressner M. Endocrine regulation of energy metabolism: review of pathobiochemical and clinical chemical aspects of leptin, Ghrelin, adiponectin, and resistin. Clin Chem 2004; 50: 1511-1525.         [ Links ]

13. Suominen P. Evaluation of an enzyme immunometric assay to measure serum adiponectin concentrations. Clin Chem 2004;50: 219-221.         [ Links ]

14. Lubrano V, Cocci F, Battaglia D, Papa A. Usefulness of high -sensitivity IL6 measurment for clinical characterization of patients with coronary artery disease. J Clin Lab Anal 2005; 19: 110-114.         [ Links ]

15. Khan SS, Smith MS, reda D, Suffredini AF, Mc Coy JP. Multiplex bead array assays for detection of soluble cytokines: comparisons of sensitivity and quantitative values among kits from multiple manufactures. Cytometry B Clin Cytom 2004; 61: 35-39.         [ Links ]

16. Feurer ID, Mullen JL. Bedside measurement of resting energy expenditure and respiratory quotient via indirect calorimetry. Nutr Clin Pract 1986; 1: 43-49.         [ Links ]

17. Pichard C, Slosman D, Hirschel B, Kyle U. Bioimpedance analysis: an improved method for nutritional follow up. Clin Res 1993; 41: 53.         [ Links ]

18. Mataix J, Mañas M. Tablas de composición de alimentos españoles. Ed: University of Granada, 2003.         [ Links ]

19. Di Marzo V, Goparaju SK, Wang L, Liu J, Batkai S, Jarai Z, Fezza F, Miura GI, Palmiter RD, Sugiura T, Kunos G. Leptin. Regulated endocannabinoids are involved in maintaining food intake. Nature 2001; 410: 822-825.         [ Links ]

20. Engeli S, Jana B, Mareike F, Kerstin G, Jürgen J, Sandor B. Activation of the peripheral endocannabinoid system in human obesity. Diabetes 2005; 54: 2838-2843.         [ Links ]

21. Gazzerro P, Caruso MG, Notarnicola M, Misciagna G, Guerra V, Laezza C, Bifulco M. Association between cannabinoid type 1 receptor polymorphism and body mass index in a southern Italian population. Int J Obes 2007; 31: 908-912.         [ Links ]

22. Aberle J, Flitsch J, Alessia N, Mann O, Busch P, Peitsmeier P, Ulrich F. Genetic variation may influence obesity only under conditions of diet: analysis of three candidate genes. Molecular Genetics and Metabolism 2008: 95: 188-191.         [ Links ]

23. Jaeger J, Mattevi V, Callegari-Jacques SD, Hutz MH. Cannabinoid type 1 receptor gene polymorphisms are associated with central obesity in a Southern Brazilian population. Disease Markers 2008; 25: 67-74.         [ Links ]

24. Russo P, Strazzullo P, Cappuccio F, Tregouet D, Lauria F, Loguercio M, Barba G et al. Genetic variations at the endocannabinoid type 1 receptor gene (CRN1) are associated with obesity phenotypes in Men. J Clin endo and Metan 2007; 92:2382-2389.         [ Links ]

25. Peeters A, Beckers S, Mertens I, Van Hul W, Van Gaal L. The G1422A variant of the endocannabinoid receptor gene is associated with abdominal adiposity in obese men. Endocr 2007: 31: 138-141.         [ Links ]

26. Benzinou M, Chevre JC, Ward K, Lecoeur C, Dina C, Lobbens S et al. Endocannabinoid receptor 1 gene variations increase risk for obesity and modulate body mass index European population. Human Molecualr Genetics 2008; 17: 1916-1921.         [ Links ]

27. Jbilo O, Ravinet-Trillou C, Arnone M, Buisson I, Bribes E, Peleraux A. The CB1 receptor antagonist rimonabant reverses the diet induced obesity phenotype through the regulation of lipólisis and energy balance. FASEB J2005; 19: 1567-1569.         [ Links ]

28. Bensaid M, Gary Bobo M, Esclangron A, Maffrand JP, Le Fut G, Oury DOnat F. The cannabinoid CB1 receptor antagonist SR141716 increases Acrp 30 mRNA expresión in adipose tissue of obese fa/fa rats and in cultures adipocyte cells. Mol Pharmacol 2003; 63: 908-914.         [ Links ]

29. Poirier B, Bidoauard JP, Cadrouvele C, Marniquet X, Staels B, O'Connor SE. The anti-obesity effect of rimonabant is associated with an improved serum lipid profile. Diabetes, Obes, Metab 2005; 7: 65-72.         [ Links ]

30. Despres JP, Golay A, Sjostrom L. Effects of Rimonabant on metabolic risk factors in overweight patients with dyslipemia. NEJM 2005; 353: 2121-2130.         [ Links ]

31. Thanos PK, Ramalhete RC, Michelides M, Piyis YK, Wang GJ, Volkow ND. Leptin receptor deficiency is associated with upregulation of cannabinoid 1 receptors in limbic brain regions. Synapse 2008; 62: 637-642.         [ Links ]

32. Malcher Lopes R, Di S, Marcheselli VS, Weng FJ, Stuart CT, Bazan NG, Tasker JG. Opposing crosstalk between leptin and glucocorticoids rapidly modulates synaptic excitation via endo-cannabinoid release. J Neurosci 2006; 26: 6643-6650.         [ Links ]



D. A. De Luis.
Profesor de Nutrición.
Director del Instituto de Endocrinología y Nutrición.
Facultad de Medicina.
C/ Los Perales, 16.
47130 Simancas. Valladolid. España

Recibido: 23-VII-2010.
Aceptado: 2-IX-2010.

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons