Artículos de revista (CUN)
Permanent URI for this collectionhttps://hdl.handle.net/10171/70263
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- Maresin 1 activates brown adipose tissue and promotes browning of white adipose tissue in mice(Elsevier, 2023) Martinez, J.A. (José Alfredo); Villarroya, F. (Francesc); Escoté-Miró, X. (Xavier); Quesada-López, T. (Tania); Laiglesia-González, L.M. (Laura María); Lorente-Cebrian, S. (Silvia); Collantes, M. (María); Moreno-Aliaga, M. J. (María Jesús); Dalli, J. (Jesmond); Arbones-Mainar, J.M. (José M.); Félix-Soriano, E. (Elisa); Rodriguez-Ortigosa, C.M. (Carlos M.); Santamaría, E. (Eva); Martínez-Fernández, L. (Leyre); Fernandez-Galilea, M. (Marta); Vázquez, S. (Sergio); Herrero, L. (Laura); Valverde, A.M. (Ángela M.); Sainz, N. (Neira); Colón-Mesa, I. (Ignacio)Objective: Maresin 1 (MaR1) is a docosahexaenoic acid-derived proresolving lipid mediator with insulin-sensitizing and anti-steatosis properties. Here, we aim to unravel MaR1 actions on brown adipose tissue (BAT) activation and white adipose tissue (WAT) browning. Methods: MaR1 actions were tested in cultured murine brown adipocytes and in human mesenchymal stem cells (hMSC)-derived adipocytes. In vivo effects of MaR1 were tested in diet-induced obese (DIO) mice and lean WT and Il6 knockout (Il6 / ) mice. Results: In cultured differentiated murine brown adipocytes, MaR1 reduces the expression of inflammatory genes, while stimulates glucose uptake, fatty acid utilization and oxygen consumption rate, along with the upregulation of mitochondrial mass and genes involved in mitochondrial biogenesis and function and the thermogenic program. In Leucine Rich Repeat Containing G Protein-Coupled Receptor 6 (LGR6)-depleted brown adipocytes using siRNA, the stimulatory effect of MaR1 on thermogenic genes was abrogated. In DIO mice, MaR1 promotes BAT remodeling, characterized by higher expression of genes encoding for master regulators of mitochondrial biogenesis and function and iBAT thermogenic activation, together with increased M2 macrophage markers. In addition, MaR1-treated DIO mice exhibit a better response to cold-induced BAT activation. Moreover, MaR1 induces a beige adipocyte signature in inguinal WAT of DIO mice and in hMSC-derived adipocytes. MaR1 potentiates Il6 expression in brown adipocytes and BAT of cold exposed lean WT mice. Interestingly, the thermogenic properties of MaR1 were abrogated in Il6 / mice. Conclusions: These data reveal MaR1 as a novel agent that promotes BAT activation and WAT browning by regulating thermogenic program in adipocytes and M2 polarization of macrophages. Moreover, our data suggest that LGR6 receptor is mediating MaR1 actions on brown adipocytes, and that IL-6 is required for the thermogenic effects of MaR1.
- Association between Different Animal Protein Sources and Liver Status in Obese Subjects with Non-Alcoholic Fatty Liver Disease: Fatty Liver in Obesity (FLiO) Study(MDPI AG, 2019) Benito-Boíllos, A. (Alberto); Zulet, M.A. (María Ángeles); Tur, J.A. (Josep A.); Marin-Alejandre, B.A. (Bertha Araceli); Herrero, J.I. (José Ignacio); Martinez, A. (Alfredo); Monreal, J.I. (José Ignacio); Elorz, M. (Mariana); Abete, I. (Itziar); Cantero-González, I. (Irene); Recaredo, G. (Gregorio)Non-alcoholic fatty liver disease (NAFLD) is considered the hepatic manifestation of metabolic syndrome. Obesity and unhealthy dietary habits are described as risk factors for NAFLD. The aim of this study was to investigate the association between the consumption of different animal protein sources and hepatic status in NAFLD adults. A total of 112 overweight/obese participants with NAFLD from Fatty Liver in Obesity (FLiO) study were evaluated at baseline. Diet, body composition, and biochemical variables were evaluated. Hepatic status was also assessed by Magnetic Resonance Imaging, ultrasonography, and elastography. Red meat consumption showed a positive relationship with liver iron content (r = 0.224; p = 0.021) and ferritin concentration (r = 0.196; p = 0.037). Processed meat consumption exhibited a positive association with liver iron content (r = 0.308; p = 0.001), which was also found in the quantile regression (β = 0.079; p = 0.028). Fish consumption was related with lower concentration of ferritin (r = -0.200; p = 0.034). This association was further evidenced in the regression model (β = -0.720; p = 0.033). These findings suggest that the consumption of different animal protein sources differentially impact on liver status in obese subjects with NAFLD, showing fish consumption as a healthier alternative for towards NAFLD features.
- Association between sleep disturbances and liver status in obese subjects with nonalcoholic fatty liver disease: a comparison with healthy controls(MDPI, 2019) Martinez, J.A. (José Alfredo); Riezu-Boj, J.I. (José Ignacio); Huarte-Muniesa, M.P. (Maria Pilar); Benito-Boilos, A. (Alberto); Zulet, M.A. (María Ángeles); Tur, J.A. (Josep A.); Milagro-Yoldi, F.I. (Fermín Ignacio); Marin-Alejandre, B.A. (Bertha Araceli); Martinez-Echeverria, A. (Ana); Uriz-Otano, J.I. (Juan Isidoro); Herrero, J.I. (José Ignacio); Monreal, J.I. (José Ignacio); Quiroga, J. (Jorge); Elorz, M. (Mariana); Abete, I. (Itziar); Cantero-González, I. (Irene)The relevance of sleep patterns in the onset or evolution of nonalcoholic fatty liver disease (NAFLD) is still poorly understood. Our aim was to investigate the association between sleep characteristics and hepatic status indicators in obese people with NAFLD compared to normal weight non-NAFLD controls. Ninety-four overweight or obese patients with NAFLD and 40 non-NAFLD normal weight controls assessed by abdominal ultrasonography were enrolled. Hepatic status evaluation considered liver stiffness determined by Acoustic Radiation Force Impulse elastography (ARFI) and transaminases. Additionally, anthropometric measurements, clinical characteristics, and biochemical profiles were determined. Sleep features were evaluated using the Pittsburgh Sleep Quality Index (PSQI). Hepatic status parameters, anthropometric measurements, and clinical and biochemical markers differed significantly in NAFLD subjects compared to controls, as well as sleep efficiency, sleep disturbance score, and sleep quality score. In the NAFLD group, a higher prevalence of short sleep duration (p = 0.005) and poor sleep quality (p = 0.041) were found. Multivariate-adjusted odds ratio (95% confidence interval) for NAFLD considering sleep disturbance was 1.59 (1.11–2.28). Regression models that included either sleep disturbance or sleep quality predicted up to 20.3% and 20.4% of the variability of liver stiffness, respectively, and after adjusting for potential confounders.Current findings suggest that sleep disruption may be contributing to the pathogenesis of NAFLD as well as the alteration of the liver may be affecting sleep patterns. Consequently, sleep characteristics may be added to the list of modifiable behaviors to consider in health promotion strategies and in the prevention and management of NAFLD.
- Design and evaluation of a treatment programme for Spanish adolescents with overweight and obesity. The EVASYON Study(BioMed Central, 2009) Martinez, J.A. (José Alfredo); Garcia-Fuentes, M. (Miguel); Campoy, C. (Cristina); Redondo-Figuero, C. (Carlos); Gomez-Martinez, S. (Sonia); Garagorri, J.M. (Jesús Maria); Puertollano, M.A. (M. Ángeles); Delgado, M. (Manuel); Nova, E. (Esther); Vaquero, M.P. (M. Pilar); Veiga, O.L. (Oscar L.); Marcos, A. (Ascensión); Azcona-San-Julian, M.C. (María Cristina); Wärnberg, J. (Julia); Moreno, L.A. (Luis A.); EVASYON; Martinez-Gomez, D. (David); Marti-del-Moral, A. (Amelia)Background The prevalence of overweight and obesity (OW/OB) among adolescents worldwide has increased since the 60 s. Spain has reached one of the highest OW/OB prevalence rates among adolescents from European countries. The aim of this methodological paper is to describe the design and evaluation in the EVASYON study (Development, implementation and evaluation of the efficacy of a therapeutic programme for adolescents with OW/OB: integral education on nutrition and physical activity). Methods/Design The EVASYON was planned by a multidisciplinary team to treat OW/OB in Spanish adolescents. The EVASYON is a multi-centre study conducted in 5 hospitals in 5 Spanish cities (Granada, Madrid, Pamplona, Santander and Zaragoza) and two hundred and four OW/OB Spanish adolescents were recruited for this intervention. The treatment was implemented for approximately one-year follow-up. The adolescents were treated in groups of a maximum of 10 subjects; each group had 20 visits during the treatment period in two phases: intensive during the first 2 months (1st to 9th visits), and extensive during the last 11 months (10th to 20th visits). In order to assess the efficacy of the treatment, 8 dimensions were measured: diet; physical activity and fitness; eating behaviour; body composition; haematological profile; metabolic profile; minerals and vitamins; immuno-inflammatory markers. Moreover, genetic polymorphisms were also determined. Discussion The treatment programme developed in the EVASYON study was designed as a national pilot study to be implemented as an effective treatment for adolescents with OW/OB into the Spanish Health Care Service.
- Effect of smoking on body weight: longitudinal analysis of the SUN cohort(Elsevier España, 2010) Martinez, J.A. (José Alfredo); Martinez-Gonzalez, M.A. (Miguel Ángel); Toledo, E. (Estefanía); Bes-Rastrollo, M. (Maira); Basterra-Gortari, F.J. (Francisco Javier); Forga, L. (Luis)Our aim was to investigate prospectively the association between two major cardiovascular risk factors: smoking and weight gain. METHODS: We prospectively evaluated 7565 individuals taking part in a dynamic cohort study over a median follow-up period of 50 months. Self-reported weight and physical activity levels had been validated previously. The adjusted mean difference in weight gain relative to never-smokers (the reference group) was estimated for different levels of tobacco exposure. RESULTS: After adjusting for age, baseline body mass index, sedentary lifestyle, changes in physical activity level, total energy intake, fiber intake, food consumption between meals, and sugary soft drink, fast food and alcohol consumption, it was found that individuals who stopped smoking during follow-up had a greater relative weight gain: men 1.63 kg (95% confidence interval [CI], 1.07-2.19 kg), and women 1.51 kg (95% CI, 1.11-1.91 kg). In addition, active smokers had a greater weight gain than never-smokers: men 0.49 kg (95% CI, 0.11-0.87 kg), and women 0.36 kg (95% CI, 0.07-0.65 kg). CONCLUSIONS: Individuals who stopped smoking during follow-up and active smokers both experienced significantly greater weight gains than never-smokers. This association between cardiovascular risk factors should be taken into account when developing prevention programs.
- Validación del índice de masa corporal auto-referido en la Encuesta Nacional de Salud(Gobierno de Navarra. Departamento de Salud, 2007) Martinez, J.A. (José Alfredo); Martinez-Gonzalez, M.A. (Miguel Ángel); Bes-Rastrollo, M. (Maira); Basterra-Gortari, F.J. (Francisco Javier); Forga, L. (Luis)Objective. To assess the validity of self-reported body mass index in the National Health Survey. 120 participants were selected and questioned about their weight and height with exactly the same questions that the National Health Survey uses. Afterwards, and once informed consent was obtained, participants were weighed and measured, and this data was used as the gold standard. On average, participants underestimated their weight by 1.39 kg, overestimated their height by 0.55 cm and underestimated their body mass index by 0.71 kg/m2. The sensitivity of self-reported self reported body mass index (BMI) to detect overweight was 77%, the specificity was 97%, the positive predictive value was 0.95 and the negative predictive value was 0.86. The Kappa index was 0.76 and the quadratically weighted Kappa index was 0.85. The correlation coefficient between self-reported and measured BMI was 0.96 and the intraclass correlation coefficient was 0.97. Self-reported data is an efficient way of obtaining information about BMI, although with limitations, because self-reported data tends to underestimate weight and overestimate height, thus underestimating BMI and the proportion of participants with elevated BMI.