976 resultados para MAIN METABOLITE


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Intake of caffeinated beverages might be associated with reduced cardiovascular mortality possibly via the lowering of blood pressure. We estimated the association of ambulatory blood pressure with urinary caffeine and caffeine metabolites in a population-based sample. Families were randomly selected from the general population of Swiss cities. Ambulatory blood pressure monitoring was conducted using validated devices. Urinary caffeine, paraxanthine, theophylline, and theobromine excretions were measured in 24 hours urine using ultrahigh performance liquid chromatography tandem mass spectrometry. We used mixed models to explore the associations of urinary excretions with blood pressure although adjusting for major confounders. The 836 participants (48.9% men) included in this analysis had mean age of 47.8 and mean 24-hour systolic and diastolic blood pressure of 120.1 and 78.0 mm Hg. For each doubling of caffeine excretion, 24-hour and night-time systolic blood pressure decreased by 0.642 and 1.107 mm Hg (both P values <0.040). Similar inverse associations were observed for paraxanthine and theophylline. Adjusted night-time systolic blood pressure in the first (lowest), second, third, and fourth (highest) quartile of paraxanthine urinary excretions were 110.3, 107.3, 107.3, and 105.1 mm Hg, respectively (P trend <0.05). No associations of urinary excretions with diastolic blood pressure were generally found, and theobromine excretion was not associated with blood pressure. Anti-hypertensive therapy, diabetes mellitus, and alcohol consumption modify the association of caffeine urinary excretion with systolic blood pressure. Ambulatory systolic blood pressure was inversely associated with urinary excretions of caffeine and other caffeine metabolites. Our results are compatible with a potential protective effect of caffeine on blood pressure.

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Neurofilaments (NF), the main components of axonal cytoskeleton, are known to be involved in several neurodegenerative diseases. It has been reported that methylmalonate and propionate affect phosphorylation of NFs. In an in vitro model for methylmalonic aciduria our group has recently shown that 2- methylcitrate (2-MCA) is the most toxic metabolite for developing brain cells. Here, we studied the effects of repetitive administration of 1mM 2- MCA every 12 hours over 3 days on the development of NFs in 3D organotypic rat brain cell cultures. By immunohistochemistry with antibodies specific for the different NF subunits (light NFL, medium NFM, heavy NFH) as well as for phosphorylated (p) and glycosylated (g) forms of NFs, we observed a decrease of axonal labeling and a disorganized axonal pattern. Interestingly, signal retention of p-NFM and g-NFM was observed in neuronal soma. Western blotting showed the decrease of NFL and NFH subunits. Taken together, our data show that 2-MCA alters expression of the different NF subunits as well as their post-translational modifications. This likely results in disturbed NF assembly, abnormal accumulation of NF in neuronal cell bodies and impairment of axonal development.We conclude thatNF are involved in 2-MCA-induced neurodegeneration in methylmalonic aciduria.

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Glutaric aciduria type I (GA-I) is a cerebral organic aciduria caused by deficiency of glutaryl-Co-A dehydrogenase (GCDH). GCDH deficiency leads to accumulation of glutaric acid (GA) and 3-hydroxyglutaric acid (3-OHGA), two metabolites that are believed to be neurotoxic, in brain and body fluids. The disorder usually becomes clinically manifest during a catabolic state (e.g. intercurrent illness) with an acute encephalopathic crisis that results in striatal necrosis and in a permanent dystonic-dyskinetic movement disorder. The results of numerous in vitro and in vivo studies have pointed to three main mechanisms involved in the metabolite-mediated neuronal damage: excitotoxicity, impairment of energy metabolism and oxidative stress. There is evidence that during a metabolic crisis GA and its metabolites are produced endogenously in the CNS and accumulate because of limiting transport mechanisms across the blood-brain barrier. Despite extensive experimental work, the relative contribution of the proposed pathogenic mechanisms remains unclear and specific therapeutic approaches have yet to be developed. Here, we review the experimental evidence and try to delineate possible pathogenetic models and approaches for future studies.

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News from the Iowa Downtown Resource Center, Main Street Iowa

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News from the Iowa Downtown Resource Center, Main Street Iowa

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News from the Iowa Downtown Resource Center, Main Street Iowa

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News from the Iowa Downtown Resource Center, Main Street Iowa

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The relationship between inflammation and cancer is well established in several tumor types, including bladder cancer. We performed an association study between 886 inflammatory-gene variants and bladder cancer risk in 1,047 cases and 988 controls from the Spanish Bladder Cancer (SBC)/EPICURO Study. A preliminary exploration with the widely used univariate logistic regression approach did not identify any significant SNP after correcting for multiple testing. We further applied two more comprehensive methods to capture the complexity of bladder cancer genetic susceptibility: Bayesian Threshold LASSO (BTL), a regularized regression method, and AUC-Random Forest, a machine-learning algorithm. Both approaches explore the joint effect of markers. BTL analysis identified a signature of 37 SNPs in 34 genes showing an association with bladder cancer. AUC-RF detected an optimal predictive subset of 56 SNPs. 13 SNPs were identified by both methods in the total population. Using resources from the Texas Bladder Cancer study we were able to replicate 30% of the SNPs assessed. The associations between inflammatory SNPs and bladder cancer were reexamined among non-smokers to eliminate the effect of tobacco, one of the strongest and most prevalent environmental risk factor for this tumor. A 9 SNP-signature was detected by BTL. Here we report, for the first time, a set of SNP in inflammatory genes jointly associated with bladder cancer risk. These results highlight the importance of the complex structure of genetic susceptibility associated with cancer risk.

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Objective: To evaluate the agreement between multislice CT (MSCT) and intravascular ultrasound (IVUS) to assess the in-stent lumen diameters and lumen areas of left main coronary artery (LMCA) stents. Design: Prospective, observational single centre study. Setting: A single tertiary referral centre. Patients: Consecutive patients with LMCA stenting excluding patients with atrial fibrillation and chronic renal failure. Interventions: MSCT and IVUS imaging at 912 months follow-up were performed for all patients. Main outcome measures: Agreement between MSCT and IVUS minimum luminal area (MLA) and minimum luminal diameter (MLD). A receiver operating characteristic (ROC) curve was plotted to find the MSCT cut-off point to diagnose binary restenosis equivalent to 6 mm2 by IVUS. Results: 52 patients were analysed. PassingBablok regression analysis obtained a β coefficient of 0.786 (0.586 to 1.071) for MLA and 1.250 (0.936 to 1.667) for MLD, ruling out proportional bias. The α coefficient was −3.588 (−8.686 to −0.178) for MLA and −1.713 (−3.583 to −0.257) for MLD, indicating an underestimation trend of MSCT. The ROC curve identified an MLA ≤4.7 mm2 as the best threshold to assess in-stent restenosis by MSCT. Conclusions: Agreement between MSCT and IVUS to assess in-stent MLA and MLD for LMCA stenting is good. An MLA of 4.7 mm2 by MSCT is the best threshold to assess binary restenosis. MSCT imaging can be considered in selected patients to assess LMCA in-stent restenosis

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''Like Parents, Like Children?'' Using Secondary Data in the Study of Parental Political Influence in Switzerland: This text is devoted to the intergenerational transmission of left-right ideological orientation. Using data from the Swiss Household Panel (www.swisspanel.ch), collected both directly and through intermediaries, it raises the question of the validity of second-hand information, which is discussed on several points. The article also shows that there is a strong long-term coherence between the ideological orientation of parents and their children. It also highlights the fact that the link is not the same for boys as for girls, and it varies between generations. Finally, it shows that strong upward social mobility, compared to the original environment, facilitates emancipation from parental ideology, social inertia being greater for downward and horizontal mobility. Ce texte est consacré à la transmission intergénérationnelle de l'orientation idéologique gauche-droite. Utilisant des données du Panel Suisse de Ménages (www.swisspanel.ch), collectées tant directement que par personnes interposées, il pose la question de la validité des informations de seconde main, qui est étudiée sur plusieurs points. L'article montre en outre qu'il existe à long terme une forte cohérence entre l'orientation idéologique des parents et de leurs enfants. Il met aussi en évidence que ce lien n'est pas la même auprès des garçons qu'auprès des filles, et qu'il varie entre les générations. Finalement, il montre qu'une forte ascension sociale par rapport au milieu d'origine facilite l'émancipation des orientations idéologiques parentales, l'inertie étant plus forte pour les trajectoires descendantes et horizontales.

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In (1) H magnetic resonance spectroscopy, macromolecule signals underlay metabolite signals, and knowing their contribution is necessary for reliable metabolite quantification. When macromolecule signals are measured using an inversion-recovery pulse sequence, special care needs to be taken to correctly remove residual metabolite signals to obtain a pure macromolecule spectrum. Furthermore, since a single spectrum is commonly used for quantification in multiple experiments, the impact of potential macromolecule signal variability, because of regional differences or pathologies, on metabolite quantification has to be assessed. In this study, we introduced a novel method to post-process measured macromolecule signals that offers a flexible and robust way of removing residual metabolite signals. This method was applied to investigate regional differences in the mouse brain macromolecule signals that may affect metabolite quantification when not taken into account. However, since no significant differences in metabolite quantification were detected, it was concluded that a single macromolecule spectrum can be generally used for the quantification of healthy mouse brain spectra. Alternatively, the study of a mouse model of human glioma showed several alterations of the macromolecule spectrum, including, but not limited to, increased mobile lipid signals, which had to be taken into account to avoid significant metabolite quantification errors.