Mascaró, C.M. (Catalina M.)
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- Relationship of visceral adipose tissue with surrogate insulin resistance and liver markers in individuals with metabolic syndrome chronic complications(Sage journals, 2020) Martinez, J.A. (José Alfredo); Corbella, E. (Emili); Martinez-Gonzalez, M.A. (Miguel Ángel); Fito, M. (Montserrat); Konieczna, J. (Jadwiga); Daimiel, L. (Lidia); Tinahones, F.J. (Francisco J.); Zulet, M.A. (María Ángeles); Tur, J.A. (Josep A.); Toledo, E. (Estefanía); Romaguera, D. (Dora); Macías-González, M. (Manuel); Ros, E. (Emilio); Estruch, R. (Ramón); Corella, D. (Dolores); Abete, I. (Itziar); Mascaró, C.M. (Catalina M.); Pinto, X. (Xavier); Salas-Salvado, J. (Jordi); Sayon-Orea, C. (Carmen); Bullón-Vela, M. V. (María Vanessa)Background: Visceral adipose tissue (VAT) has a hazardous influence on systemic inflammation, insulin resistance and an adverse metabolic profile, which increases the risk of developing non-alcoholic fatty liver disease (NAFLD) and chronic complications of diabetes. In our study we aimed to evaluate the association of VAT and the triglyceride glucose (TyG) as a proxy of insulin resistance surrogated with metabolic and liver risk factors among subjects diagnosed with metabolic syndrome (MetS). Methods: A cross-sectional study was performed including 326 participants with MetS (55– 75years) from the PREDIMED-Plus study. Liver-status markers, VAT and TyG were assessed. Participants were stratified by tertiles according to VAT (n=254) and TyG (n=326). A receiver operating characteristic curve was used to analyse the efficiency of TyG for VAT. Results: Subjects with greater visceral fat depots showed worse lipid profile, higher homeostatic model assessment for insulin resistance (HOMA-IR), TyG, alanine transaminase (ALT), fibroblast growth factor-21 (FGF-21), fatty liver index (FLI) and hepatic steatosis index (HSI) compared with participants in the first tertile. The multi-adjusted linear-regression analyses indicated that individuals in the third tertile of TyG (>9.1−10.7) had a positive association with HOMA-IR [β=3.07 (95% confidence interval (CI) 2.28−3.86; p trend<0.001)], ALT [β=7.43 (95% CI 2.23−12.63; p trend=0.005)], gamma glutamyl transferase (GGT) [β=14.12 (95% CI 3.64−24.61; p trend=0.008)], FGF-21 [β=190.69 (95% CI 93.13−288.25; p trend<0.001)], FLI [β=18.65 (95% CI 14.97−22.23; p trend<0.001)] and HSI [β=3.46 (95% CI, 2.23−4.68; p trend<0.001)] versus participants from the first tertile. Interestingly, the TyG showed the largest area under the receiver operating curve (AUC) for women (AUC=0.713; 95% CI 0.62−0.79) compared with men (AUC=0.570; 95% CI 0.48−0.66). Conclusions: A disrupted VAT enlargement and impairment of TyG are strongly associated with liver status and cardiometabolic risk factors linked with NAFLD in individuals diagnosed with MetS. Moreover, the TyG could be used as a suitable and reliable marker estimator of VAT.
- Leisure-Time Physical Activity, Sedentary Behaviour and Diet Quality are Associated with Metabolic Syndrome Severity: The PREDIMED-Plus Study(2020) Fernandez-Garcia, J.C. (José C.); Martinez, J.A. (José Alfredo); Micó-Pérez, R.M. (Rafael Manuel); Garcia-Rios, A. (Antonio); Gallardo-Alfaro, L. (Laura); Fito, M. (Montserrat); Daimiel, L. (Lidia); Vioque, J. (Jesús); Becerra-Tomas, N. (Nerea); Tur, J.A. (Josep A.); Romaguera, D. (Dora); Vázquez, C. (Clotilde); Lapetra, J. (José); Matía-Martín, P. (Pilar); Bueno-Cavanillas, A. (Aurora); Ros, E. (Emilio); Ruiz-Canela, M. (Miguel); Fernández-Lázaro, C.I. (César I.); Bibiloni, M.M. (Maria del Mar); Alonso-Gomez, A. (Ángel); Wärnberg, J. (Julia); Estruch, R. (Ramón); Gaforio, J.J. (José Juan); Montemayor, S. (Sofía); Serra-Majem, L. (Luis); Corella, D. (Dolores); Mascaró, C.M. (Catalina M.); Vidal, J. (Josep); Pinto, X. (Xavier); Salas-Salvado, J. (Jordi)Healthy lifestyle factors, such as physical activity (PA) and Mediterranean diet (MD), decrease the likelihood of developing metabolic syndrome (MetS). The aim of this study was to report main lifestyle components and related factors according to the MetS severity. Cross-sectional analysis was done of baseline lifestyle factors from 5739 participants with overweight/obesity and MetS features (aged 55–75 years) included in the PREDIMED-PLUS primary cardiovascular prevention randomized trial. Participants were categorized in tertiles according to a validated MetS severity score (MetSSS). Anthropometrics, visceral adiposity index, dietary nutrient intake, biochemical marker levels, as well as a Dietary Inflammatory Index and depression symptoms (Beck Depression Inventory-II) were measured. Diet quality was assessed using a 17-item energy-restricted MD questionnaire. Duration and intensity of PA was self-reported using the Minnesota-REGICOR Short Physical Activity Questionnaire. Sedentary behaviours were measured using the Spanish version of the Nurses’ Health Study questionnaire. The 30 s chair stand test was also assessed. Participants with highest MetSSS showed higher values of cardiovascular risk factors (except for total cholesterol and LDL cholesterol), depression risk, sedentary and TV viewing time, and lower moderate and vigorous leisure-time physical activity (LTPA). Highest MetSSS participants tended to a pro-inflammatory dietary pattern and tended to lower MD adherence. In addition, they showed lower carbohydrate and nut intake and higher intake of protein, saturated and trans fatty acids, cholesterol, iodine, sodium, red and processed meat products, other oils different from olive oil and spirit alcoholic drinks. The highest MetS severity score was associated with lower moderate and vigorous LTPA and higher sedentary time and depression risk, as they tended to a pro-inflammatory dietary pattern and lower MD adherence.
- Isotemporal substitution of inactive time with physical activity and time in bed: cross-sectional associations with cardiometabolic health in the PREDIMEDPlus study(Springer Science and Business Media LLC, 2019) Fernandez-Garcia, J.C. (José C.); Castañer, O. (Olga); Portoles, O. (Olga); Martinez, J.A. (José Alfredo); Martinez-Gonzalez, M.A. (Miguel Ángel); Micó-Pérez, R.M. (Rafael Manuel); Fiol, M. (Miquel); Riquelme-Gallego, B. (Blanca); Garcia-Rios, A. (Antonio); Fito, M. (Montserrat); Fiol, F. (Francisca); Konieczna, J. (Jadwiga); Daimiel, L. (Lidia); Tinahones, F.J. (Francisco J.); Compañ-Gabucio, L. (Laura); Vaquero-Luna, J. (Jessica); Vioque, J. (Jesús); Barón-López, F.J. (F. Javier); Becerra-Tomas, N. (Nerea); Tur, J.A. (Josep A.); Varela-Mato, V. (Veronica); Benavente-Marín, J.C. (Juan Carlos); Romaguera, D. (Dora); Vázquez, C. (Clotilde); Lapetra, J. (José); Matía-Martín, P. (Pilar); Papandreou, C. (Christopher); Schröder, H. (Helmut); Galmes-Panades, A.M. (Aina M.); Razquin, C. (Cristina); Ros, E. (Emilio); Ruiz-Canela, M. (Miguel); Mira-Castejón, L.A. (Luis Alfredo); Perez-Vega, K.A. (Karla Alejandra); Tomaino, L. (Laura); Casas, R. (Rosa); Alonso-Gomez, A. (Ángel); Wärnberg, J. (Julia); Estruch, R. (Ramón); Diaz-Lopez, A. (Andres); Asensio, E.M. (Eva M.); Gaforio, J.J. (José Juan); Santos-Lozano, J.M. (José M.); Serra-Majem, L. (Luis); Corella, D. (Dolores); Abete, I. (Itziar); Mascaró, C.M. (Catalina M.); Vidal, J. (Josep); Pinto, X. (Xavier); Salas-Salvado, J. (Jordi); Galera, A. (Ana); Garcia-Arellano, A. (Ana); Moreno-Rodríguez, A. (Anai)Background: This study explored the association between inactive time and measures of adiposity, clinical parameters, obesity, type 2 diabetes and metabolic syndrome components. It further examined the impact of reallocating inactive time to time in bed, light physical activity (LPA) or moderate-to-vigorous physical activity (MVPA) on cardio-metabolic risk factors, including measures of adiposity and body composition, biochemical parameters and blood pressure in older adults. Methods: This is a cross-sectional analysis of baseline data from 2189 Caucasian men and women (age 55-75 years, BMI 27-40 Kg/m2) from the PREDIMED-Plus study (http://www.predimedplus.com/). All participants had ≥3 components of the metabolic syndrome. Inactive time, physical activity and time in bed were objectively determined using triaxial accelerometers GENEActiv during 7 days (ActivInsights Ltd., Kimbolton, United Kingdom). Multiple adjusted linear and logistic regression models were used. Isotemporal substitution regression modelling was performed to assess the relationship of replacing the amount of time spent in one activity for another, on each outcome, including measures of adiposity and body composition, biochemical parameters and blood pressure in older adults. Results: Inactive time was associated with indicators of obesity and the metabolic syndrome. Reallocating 30 min per day of inactive time to 30 min per day of time in bed was associated with lower BMI, waist circumference and glycated hemoglobin (HbA1c) (all p-values < 0.05). Reallocating 30 min per day of inactive time with 30 min per day of LPA or MVPA was associated with lower BMI, waist circumference, total fat, visceral adipose tissue, HbA1c, glucose, triglycerides, and higher body muscle mass and HDL cholesterol (all p-values < 0.05). Conclusions: Inactive time was associated with a poor cardio-metabolic profile. Isotemporal substitution of inactive time with MVPA and LPA or time in bed could have beneficial impact on cardio-metabolic health.
- Oxidative stress and pro-inflammatory status in patients with non-alcoholic fatty liver disease(MDPI AG, 2020) Martinez, J.A. (José Alfredo); Abbate, M. (Manuela); Zulet, M.A. (María Ángeles); Tejada, S. (Silvia); Tur, J.A. (Josep A.); Quetglas-Llabrés, M. (Magdalena); Casares, M. (Miguel); Sureda, A. (Antoni); Montemayor, S. (Sofía); Monserrat-Mesquida, M. (Margalida); Abete, I. (Itziar); Mascaró, C.M. (Catalina M.)Background: Nonalcoholic fatty liver disease (NAFLD) is characterized by excessive fat accumulation, especially triglycerides, in hepatocytes. If the pathology is not properly treated, it can progress to nonalcoholic steatohepatitis (NASH) and continue to fibrosis, cirrhosis or hepatocarcinoma. Objective: The aim of the current research was to identify the plasma biomarkers of liver damage, oxidative stress and inflammation that facilitate the early diagnosis of the disease and control its progression. Methods: Antioxidant and inflammatory biomarkers were measured in the plasma of patients diagnosed with NAFLD (n = 100 adults; 40–60 years old) living in the Balearic Islands, Spain. Patients were classified according to the intrahepatic fat content (IFC) measured by magnetic resonance imaging (MRI). Results: Circulating glucose, glycosylated haemoglobin, triglycerides, low-density lipoprotein-cholesterol, aspartate aminotransferase and alanine aminotransferase were higher in patients with an IFC ≥ 2 of NAFLD in comparison to patients with an IFC of 0 and 1. The plasma levels of catalase, irisin, interleukin-6, malondialdehyde, and cytokeratin 18 were higher in stage ≥2 subjects, whereas the resolvin D1 levels were lower. No differences were observed in xanthine oxidase, myeloperoxidase, protein carbonyl and fibroblast growth factor 21 depending on liver status. Conclusion: The current available data show that the severity of NAFLD is associated with an increase in oxidative stress and proinflammatory status. It may be also useful as diagnostic purpose in clinical practice.