27 research outputs found

    Dealcoholized beers reduce atherosclerosis and expression of adhesion molecules in apoE-deficient mice

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    Polyphenols exert beneficial effects in atherosclerosis. The crucial step in atherosclerosis is the recruitment of monocytes to the subendothelial space, induced by endothelial adhesion molecules through the activation of factors such as NF-κB. We studied the effect of a dealcoholised lager beer (DLB) and a dealcoholised dark beer (DDB) on atherosclerotic lesions, and the underlying mechanisms. Dealcoholised beers were administered in the diet (42 ml/kg body weight per d) to 4-week-old male apoE knockout (apoE - / - ) mice for 20 weeks. The atherosclerotic lesions in the thoracic aorta were reduced by 44 % (P = 0·003) and 51 % (P < 0·001) in DLB- and DDB-treated mice, respectively. Also, the mRNA expressions of the endothelial adhesion molecules in the total aorta were decreased: P-selectin showed a 17 % (P = 0·004) reduction in DDB-treated mice; vascular cell adhesion molecule-1 (VCAM-1) was decreased by 20 % (P = 0·012) and 32 % (P = 0·001) in DLB- and DDB-treated mice, respectively; intercellular adhesion molecule-1 (ICAM-1) showed a 14 % (P = 0·014) reduction in DLB-treated mice. The protein expressions of these molecules and NF-κB were studied in the aortic root. P-selectin was decreased by 37 % (P = 0·012) in DDB-treated mice; VCAM-1 was reduced by 48 % (P = 0·001) and 54 % (P < 0·001) in DLB- and DDB-treated mice, respectively; ICAM-1 was decreased by 25 % (P = 0·028) and 30 % (P = 0·018) in DLB- and DDB-treated mice, respectively; NF-κB was reduced by 46 % (P = 0·042) in DDB-treated mice. In conclusion, dealcoholised beers protected apoE - / - mice against atherosclerosis, through the modulation of endothelial adhesion molecules, possibly induced by NF-κB

    An NMR-based metabolomics approach reveals a combined-biomarkers model in a wine interventional trial with validation in free-living individuals of the PREDIMED study

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    The development of robust biomarkers of consumption would improve the classification of participants with regard to their dietary exposure. In addition, validation of them in free-living individuals remains an important challenge. The aim of this study is to assess wine intake biomarkers using an NMR metabolomic approach to measure the utility of these biomarkers in a wine interventional study (WIS, n = 56) and also to evaluate them in a free-living individuals (PREDIMED study, n = 91). Nine metabolites showed a significantly higher presence in urinary excretion in WIS after wine intake: five food metabolome metabolites (tartrate, ethyl glucuronide [EtG], 2,3-butanediol, mannitol, and ethanol); one related to the endogenous response to wine exposure (3-methyl-2-oxovalerate) and three unidentified compounds. Receiver operating characteristic (ROC) curve for each single metabolite were evaluated and exhibited areas under the curves (AUC) between 67.4 and 86.3 % when they were evaluated individually. Then, a logistic regression model was fitted to generate a combined-biomarkers model using these metabolites. The model generated which included tartrate-EtG, showed an AUC of 90.7 % in WIS. Similarly, the AUC in the PREDIMED study was 92.4 %. Results showed that a model combining tartrate-EtG is more useful for evaluating exposure to wine than single biomarkers, both in interventional studies and epidemiological data. To our knowledge, this is the first time that a combined-biomarker model using an NMR platform in wine biomarkers' research has been generated and reproduced in a free-living population

    The Effects of the Mediterranean Diet on Biomarkers of Vascular Wall Inflammation and Plaque Vulnerability in Subjects with High Risk for Cardiovascular Disease. A Randomized Trial

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    Adherence to the Mediterranean diet (MD) is associated with reduced morbidity and mortality due to cardiovascular disease. However, how the MD exerts its effects is not fully known. Aim: To assess the 12-month effects of two enhanced MDs compared to a low-fat diet on inflammatory biomarkers related to atherosclerosis and plaque vulnerability in a subcohort of the PREDIMED (Prevencion con Dieta Mediterranea) study. Methods: A total of 164 participants at high risk for cardiovascular disease were randomized into three diet groups: MD supplemented with 50 mL/d of extra virgin olive oil (MD+EVOO) or 30 g/d of nuts (MD+Nuts) and a low-fat diet. Changes in classical cardiovascular risk factors, inflammatory biomarkers of atherosclerosis and plaque vulnerability were measured after 12 months of intervention. Results: Compared to participants in the low-fat diet group, those receiving MD+EVOO and MD+Nuts showed a higher decrease in systolic (6 mmHg)and diastolic (3 mmHg) blood pressure (P = 0.02; both), as well as a reduction of 10% and 8% in LDL-cholesterol (P = 0.04), respectively. Patients in the MD+Nuts group showed a significant reduction of 34% in CD40 expression on monocyte surface compared to low-fat diet patients (P = 0.03). In addition, inflammatory biomarkers related to plaque instability such as C-reactive protein and interleukin-6 were reduced by 45% and 35% and 95% and 90% in the MD+EVOO and MD+Nuts groups, respectively (P<0.05; all) compared to the low-fat diet group. Likewise, sICAM and Pselectin were also reduced by 50% and 27%, respectively in the MD+ EVOO group (P = 0.04) and P-selectin by 19% in MD+Nuts group (P = 0.04) compared to the low-fat diet group. Conclusions: Adherence to the MD is associated with an increase in serum markers of atheroma plaque stability which may explain, at least in part, the protective role of MD against ischemic heart disease

    Metabolomic pattern analysis after Mediterranean diet intervention in non-diabetic population: a 1- and 3-year follow-up in the PREDIMED study

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    The Mediterranean diet (MD) is considered a dietary pattern with beneficial effects on human health. The aim of this study was to assess the effect of an MD on urinary metabolome by comparing subjects at 1 and 3 years of follow-up, after an MD supplemented with either extra-virgin olive oil (MD + EVOO) or nuts (MD + Nuts), to those on advice to follow a control low-fat diet (LFD). Ninety-eight nondiabetic volunteers were evaluated, using metabolomic approaches, corresponding to MD + EVOO (n = 41), MD + Nuts (n = 27), or LFD (n = 30) groups. The 1H NMR urinary profiles were examined at baseline and after 1 and 3 years of follow-up. Multivariate data analysis (OSC-PLS-DA and HCA) methods were used to identify the potential biomarker discriminating groups, exhibiting a urinary metabolome separation between MD groups against baseline and LFD. Results revealed that the most prominent hallmarks concerning MD groups were related to the metabolism of carbohydrates (3-hydroxybutyrate, citrate, and cis-aconitate), creatine, creatinine, amino acids (proline, N-acetylglutamine, glycine, branched-chain amino acids, and derived metabolites), lipids (oleic and suberic acids), and microbial cometabolites (phenylacetylglutamine and p-cresol). Otherwise, hippurate, trimethylamine-N-oxide, histidine and derivates (methylhistidines, carnosine, and anserine), and xanthosine were predominant after LFD. The application of NMR-based metabolomics enabled the classification of individuals regarding their dietary pattern and highlights the potential of this approach for evaluating changes in the urinary metabolome at different time points of follow-up in response to specific dietary interventions

    A metabolomics-driven approach to predict cocoa product consumption by designing a multimetabolite biomarker model in free-living subjects from the PREDIMED study

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    SCOPE: The aim of the current study was to apply an untargeted metabolomics strategy to characterize a model of cocoa intake biomarkers in a free-living population. METHODS AND RESULTS: An untargeted HPLC-q-ToF-MS based metabolomics approach was applied to human urine from 32 consumers of cocoa or derived products (CC) and 32 matched control subjects with no consumption of cocoa products (NC). The multivariate statistical analysis (OSC-PLS-DA) showed clear differences between CC and NC groups. The discriminant biomarkers identified were mainly related to the metabolic pathways of theobromine and polyphenols, as well as to cocoa processing. Consumption of cocoa products was also associated with reduced urinary excretions of methylglutarylcarnitine, which could be related to effects of cocoa exposure on insulin resistance. To improve the prediction of cocoa consumption, a combined urinary metabolite model was constructed. ROC curves were constructed to evaluate the model and individual metabolites. The AUC values (95% CI) for the model were 95.7% (89.8-100%) and 92.6% (81.9-100%) in training and validation sets, respectively, whereas the AUCs for individual metabolites were <90%. CONCLUSIONS: The metabolic signature of cocoa consumption in free-living subjects reveals that combining different metabolites as biomarker models improves prediction of dietary exposure to cocoa

    Novel multimetabolite prediction of walnut consumption by a urinary biomarker model in a free-living population: the PREDIMED Study

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    The beneficial impact of walnuts on human health has been attributed to their unique chemical composition. In order to characterize the dietary walnut fingerprinting, spot urine samples from two sets of 195 (training) and 186 (validation) individuals were analyzed by an HPLC-q-ToF-MS untargeted metabolomics approach, selecting the most discriminating metabolites by multivariate data analysis (VIP ≥ 1.5). Stepwise logistic regression analysis was used to design a multimetabolite prediction biomarker model. The global performance of the model and each included metabolite in it was evaluated by receiver operating characteristic curves, using the area under the curve (AUC) values. Dietary exposure to walnuts was characterized by 18 metabolites, including markers of fatty acid metabolism, ellagitannin-derived microbial compounds, and intermediate metabolites of the tryptophan/serotonin pathway. The predictive model of walnut exposure included at least one compound of each class. The AUC (95% CI) for the combined biomarker model was 93.4% (90.1-96.8%) in the training set and 90.2% (85.9-94.6%) in the validation set. The AUCs for individual metabolites were ≤85%. As far as we know, this is the first study proposing a combination of biomarkers of walnut exposure in a population under free-living conditions, as considered in epidemiological studies examining associations between diet and health outcomes

    Dinámica poblacional de nemátodos fitoparásitos en pejibaye (Bactris gasipaes K.) para palmito.

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    Nematode countswere made each trimester during the first year of plantdevelopment in soils and roots of four varieties of peach palm.Three of those varieties were spineless (Diamante-1, 10 and20) and one had spines (Utilis-Tucurrique). The study wascarried out in Guápiles, Costa Rica. The population densitiesof nematodes found in roots and soil were low and were notconsidered of economic importance, but they had a widedistribution. The following species were found in the roots:Helicontylenchus spp was the most common, present in 100%of the plants in Diamantes -1 and Diamantes-20; 90% inDiamantes-10 and 85% in Utilis–Tucurrique. Tylenchus sp.,Pratylenchus ssp., Criconemella spp. and Boleodorus sp. werealso found in still lower densities. In soil samples those specieswere also found plus Ditylenchus sp. and Meloidogine sp.Trimestralmentese realizó el conteo e identificación de nemátodos, durantelos 12 primeros meses de desarrollo, en cuatro variedadesde palmito de pejibaye (Bactris gasipaes Kunth). Tres deellas sin espinas (Diamantes-1, Diamantes-10 y Diamantes-20) y una con espinas (Utilis-Tucurrique). El ensayo se efectuóen la región de Guápiles, Costa Rica. Los nemátodos quese encontraron en el suelo y las raíces de las plantas de pejibayefueron los siguientes: Helicotylenchus spp., que fue elmás común con frecuencias en raíces de 100 % en las variedadesDiamantes-1 y Diamantes-20; y de 90 % en Diamantes-10 y 85% en Utilis-Tucurrique. También se encontraronlos géneros Tylenchus sp.; Pratylenchus sp.; Criconemellaspp. y Boleodorus sp. en densidades bajas. En el suelo susfrecuencias fueron 80%, 100%, 95% y 85% en Diamantes-1,Diamantes-10, Diamantes-20 y Utilis-Tucurrique, respectivamente.Además, también estuvieron presentes en densidadesbajas Criconemella spp; Tylenchus sp.; Ditylenchus sp. y Meloidoginesp. De acuerdo con los resultados obtenidos, lasdensidades de nemátodos obtenidas se puede considerar queaún no alcanzan proporciones que resulten de importanciaeconómica

    Analysis of neuronal ensemble activity reveals the pitfalls and shortcomings of rotation dynamics

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    Back in 2012, Churchland and his colleagues proposed that “rotational dynamics”, uncovered through linear transformations of multidimensional neuronal data, represent a fundamental type of neuronal population processing in a variety of organisms, from the isolated leech central nervous system to the primate motor cortex. Here, we evaluated this claim using Churchland’s own data and simple simulations of neuronal responses. We observed that rotational patterns occurred in neuronal populations when (1) there was a temporal sequence in peak firing rates exhibited by individual neurons, and (2) this sequence remained consistent across different experimental conditions. Provided that such a temporal order of peak firing rates existed, rotational patterns could be easily obtained using a rather arbitrary computer simulation of neural activity; modeling of any realistic properties of motor cortical responses was not needed. Additionally, arbitrary traces, such as Lissajous curves, could be easily obtained from Churchland’s data with multiple linear regression. While these observations suggest that temporal sequences of neuronal responses could be visualized as rotations with various methods, we express doubt about Churchland et al.’s bold assessment that such rotations are related to “an unexpected yet surprisingly simple structure in the population response”, which “explains many of the confusing features of individual neural responses”. Instead, we argue that their approach provides little, if any, insight on the underlying neuronal mechanisms employed by neuronal ensembles to encode motor behaviors in any species.ISSN:2045-232

    Dealcoholized beers reduce atherosclerosis and expression of adhesion molecules in apoE-deficient mice

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    Polyphenols exert beneficial effects in atherosclerosis. The crucial step in atherosclerosis is the recruitment of monocytes to the subendothelial space, induced by endothelial adhesion molecules through the activation of factors such as NF-κB. We studied the effect of a dealcoholised lager beer (DLB) and a dealcoholised dark beer (DDB) on atherosclerotic lesions, and the underlying mechanisms. Dealcoholised beers were administered in the diet (42 ml/kg body weight per d) to 4-week-old male apoE knockout (apoE - / - ) mice for 20 weeks. The atherosclerotic lesions in the thoracic aorta were reduced by 44 % (P = 0·003) and 51 % (P < 0·001) in DLB- and DDB-treated mice, respectively. Also, the mRNA expressions of the endothelial adhesion molecules in the total aorta were decreased: P-selectin showed a 17 % (P = 0·004) reduction in DDB-treated mice; vascular cell adhesion molecule-1 (VCAM-1) was decreased by 20 % (P = 0·012) and 32 % (P = 0·001) in DLB- and DDB-treated mice, respectively; intercellular adhesion molecule-1 (ICAM-1) showed a 14 % (P = 0·014) reduction in DLB-treated mice. The protein expressions of these molecules and NF-κB were studied in the aortic root. P-selectin was decreased by 37 % (P = 0·012) in DDB-treated mice; VCAM-1 was reduced by 48 % (P = 0·001) and 54 % (P < 0·001) in DLB- and DDB-treated mice, respectively; ICAM-1 was decreased by 25 % (P = 0·028) and 30 % (P = 0·018) in DLB- and DDB-treated mice, respectively; NF-κB was reduced by 46 % (P = 0·042) in DDB-treated mice. In conclusion, dealcoholised beers protected apoE - / - mice against atherosclerosis, through the modulation of endothelial adhesion molecules, possibly induced by NF-κB

    The 3-Year Effect of the Mediterranean Diet Intervention on Inflammatory Biomarkers Related to Cardiovascular Disease

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    The intervention with the Mediterranean diet (MD) pattern has evidenced short-term anti-inflammatory effects, but little is known about its long-term anti-inflammatory properties at molecular level. This study aims to investigate the 3-year effect of MD interventions compared to low-fat diet (LFD) on changes on inflammatory biomarkers related to atherosclerosis in a free-living population with a high-risk of cardiovascular disease (CD). Participants (n = 285) in the PREDIMED trial were randomly assigned into three intervention groups: MD with extra-virgin olive oil (EVOO) or MD-Nuts, and a LFD. Fourteen plasma inflammatory biomarkers were determined by Luminex assays. An additional pilot study of gene expression (GE) was determined by RT-PCR in 35 participants. After 3 years, both MDs showed a significant reduction in the plasma levels of IL-1β, IL-6, IL-8, TNF-α, IFN-γ, hs-CRP, MCP-1, MIP-1β, RANTES, and ENA78 (p < 0.05; all). The decreased levels of IL-1β, IL-6, IL-8, and TNF-α after MD significantly differed from those in the LFD (p < 0.05). No significant changes were observed at the gene level after MD interventions, however, the GE of CXCR2 and CXCR3 tended to increase in the control LFD group (p = 0.09). This study supports the implementation of MD as a healthy long-term dietary pattern in the prevention of CD in populations at high cardiovascular risk
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