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Soriguer F.,Hospital Universitario Carlos Haya | Soriguer F.,Institute Investigaciones Biomedicas Of Malaga Ibima | Soriguer F.,Spanish Biomedical Research Center in Diabetes and Associated Metabolic Disorders | Soriguer F.,CIBER ISCIII | And 27 more authors.
Clinical Nutrition | Year: 2013

Background & aim: Recent studies suggest that white rice consumption increases risk of diabetes. Aim: to assess the association between white rice intake and the incidence of diabetes in a population from Southern Spain. Methods: A population-based cohort study was undertaken in Pizarra, Spain. At baseline and follow-up, participants underwent an interview and a standardized clinical examination which included an oral glucose tolerance test in those subjects without known diabetes. Incidence and odds ratio (OR) for diabetes were calculated. Multivariate analysis was performed using stepwise logistical regression. Results: Thirty eight percent of subjects reported rice consumption 2-3 times a week, 58.5% once or less a week, and 3.6% no rice consumption. In subjects who reported rice intake 2-3 times a week, incidence of diabetes after 6 years follow-up was 12.0%, and in those who reported once or less a week, 20.2% (p = 0.04, non adjusted). Subjects who ate rice frequently had lower risk to develop diabetes 6 years later (OR = 0.43, p = 0.04; adjusted for age, sex, obesity, and presence of impaired fasting glucose and/or impaired glucose tolerance at baseline). Conclusions: A negative association was found between white rice intake in the way it is consumed in Southern Spain, and the 6 years incidence of diabetes. © 2012 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism.

Garrido-Sanchez L.,Rovira i Virgili University | Garrido-Sanchez L.,CIBER ISCIII | Escote X.,Rovira i Virgili University | Escote X.,CIBER ISCIII | And 13 more authors.
PLoS ONE | Year: 2013

Objective:Munc18c is associated with glucose metabolism and could play a relevant role in obesity. However, little is known about the regulation of Munc18c expression. We analyzed Munc18c gene expression in human visceral (VAT) and subcutaneous (SAT) adipose tissue and its relationship with obesity and insulin.Materials and Methods:We evaluated 70 subjects distributed in 12 non-obese lean subjects, 23 overweight subjects, 12 obese subjects and 23 nondiabetic morbidly obese patients (11 with low insulin resistance and 12 with high insulin resistance).Results:The lean, overweight and obese persons had a greater Munc18c gene expression in adipose tissue than the morbidly obese patients (p<0.001). VAT Munc18c gene expression was predicted by the body mass index (B = -0.001, p = 0.009). In SAT, no associations were found by different multiple regression analysis models. SAT Munc18c gene expression was the main determinant of the improvement in the HOMA-IR index 15 days after bariatric surgery (B = -2148.4, p = 0.038). SAT explant cultures showed that insulin produced a significant down-regulation of Munc18c gene expression (p = 0.048). This decrease was also obtained when explants were incubated with liver X receptor alpha (LXRα) agonist, either without (p = 0.038) or with insulin (p = 0.050). However, Munc18c gene expression was not affected when explants were incubated with insulin plus a sterol regulatory element-binding protein-1c (SREBP-1c) inhibitor (p = 0.504).Conclusions:Munc18c gene expression in human adipose tissue is down-regulated in morbid obesity. Insulin may have an effect on the Munc18c expression, probably through LXRα and SREBP-1c. © 2013 Garrido-Sanchez et al.

Alvero-Cruz J.R.,University of Malaga | Alvero-Cruz J.R.,Institute Investigaciones Biomedicas Of Malaga Ibima | Marfell-Jones M.,University of Murcia | Alacid F.,University of Murcia | And 5 more authors.
Nutricion Hospitalaria | Year: 2014

The purpose of the present study was to investigate percentage body fat (%BF) differences in three Spanish dance disciplines and to compare skinfold and bioelectrical impedance predictions of body fat percentage in the same sample.Seventy-six female dancers, divided into three groups, Classical (n=23), Spanish (n=29) and Flamenco (n=24), were measured using skinfold measurements at four sites: triceps, subscapular, biceps and iliac crest, and whole body multi-frequency bioelectrical impedance (BIA). The skinfold measures were used to predict body fat percentage via Durnin and Womersley’s and Segal, Sun and Yannakoulia equations by BIA. Differences in percent fat mass between groups (Classical, Spanish and Flamenco) were tested by using repeated measures analysis (ANOVA). Also, Pearson’s product-moment correlations were performed on the body fat percentage values obtained using both methods. In addition, Bland-Altman plots were used to assess agreement, between anthropometric and BIA methods.Repeated measures analysis of variance did not found differences in %BF between modalities (p<0.05). Fat percentage correlations ranged from r= 0.57 to r=0.97 (all, p<0.001). Bland-Altman analysis revealed differences between BIA Yannakoulia as a reference method with BIA Segal (-0.35 ± 2.32%, 95%CI:-0.89to 0.18, p=0.38), with BIA Sun (-0.73 ± 2.3%, 95%CI:-1.27 to-0.20, p=0.014) and Durnin-Womersley (-2.65 ± 2,48%, 95%CI:-3.22 to-2.07, p<0.0001). It was concluded that body fat percentage estimates by BIA compared with skinfold method were systematically different in young adult female ballet dancers, having a tendency to produce underestimations as %BF increased with Segal and Durnin-Womersley equations compared to Yannakoulia, concluding that these methods are not interchangeable © 2014, Grupo Aula Medica S.A. All rights reserved.

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