916 resultados para angiotensin II type 1 receptor (AT(1) receptor)


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This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency Medicine 2015 and co-published as a series in Critical Care. Other articles in the series can be found online at http://ccforum.com/series/annualupdate2015. Further information about the Annual Update in Intensive Care and Emergency Medicine is available from http://www.springer.com/series/8901.

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AIMS/HYPOTHESIS To investigate exercise-related fuel metabolism in intermittent high-intensity (IHE) and continuous moderate intensity (CONT) exercise in individuals with type 1 diabetes mellitus. METHODS In a prospective randomised open-label cross-over trial twelve male individuals with well-controlled type 1 diabetes underwent a 90 min iso-energetic cycling session at 50% maximal oxygen consumption ([Formula: see text]), with (IHE) or without (CONT) interspersed 10 s sprints every 10 min without insulin adaptation. Euglycaemia was maintained using oral (13)C-labelled glucose. (13)C Magnetic resonance spectroscopy (MRS) served to quantify hepatocellular and intramyocellular glycogen. Measurements of glucose kinetics (stable isotopes), hormones and metabolites complemented the investigation. RESULTS Glucose and insulin levels were comparable between interventions. Exogenous glucose requirements during the last 30 min of exercise were significantly lower in IHE (p = 0.02). Hepatic glucose output did not differ significantly between interventions, but glucose disposal was significantly lower in IHE (p < 0.05). There was no significant difference in glycogen consumption. Growth hormone, catecholamine and lactate levels were significantly higher in IHE (p < 0.05). CONCLUSIONS/INTERPRETATION IHE in individuals with type 1 diabetes without insulin adaptation reduced exogenous glucose requirements compared with CONT. The difference was not related to increased hepatic glucose output, nor to enhanced muscle glycogen utilisation, but to decreased glucose uptake. The lower glucose disposal in IHE implies a shift towards consumption of alternative substrates. These findings indicate a high flexibility of exercise-related fuel metabolism in type 1 diabetes, and point towards a novel and potentially beneficial role of IHE in these individuals. TRIAL REGISTRATION ClinicalTrials.gov NCT02068638 FUNDING: Swiss National Science Foundation (grant number 320030_149321/) and R&A Scherbarth Foundation (Switzerland).

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Background: Diabetes mellitus is spreading throughout the world and diabetic individuals have been shown to often assess their food intake inaccurately; therefore, it is a matter of urgency to develop automated diet assessment tools. The recent availability of mobile phones with enhanced capabilities, together with the advances in computer vision, have permitted the development of image analysis apps for the automated assessment of meals. GoCARB is a mobile phone-based system designed to support individuals with type 1 diabetes during daily carbohydrate estimation. In a typical scenario, the user places a reference card next to the dish and acquires two images using a mobile phone. A series of computer vision modules detect the plate and automatically segment and recognize the different food items, while their 3D shape is reconstructed. Finally, the carbohydrate content is calculated by combining the volume of each food item with the nutritional information provided by the USDA Nutrient Database for Standard Reference. Objective: The main objective of this study is to assess the accuracy of the GoCARB prototype when used by individuals with type 1 diabetes and to compare it to their own performance in carbohydrate counting. In addition, the user experience and usability of the system is evaluated by questionnaires. Methods: The study was conducted at the Bern University Hospital, “Inselspital” (Bern, Switzerland) and involved 19 adult volunteers with type 1 diabetes, each participating once. Each study day, a total of six meals of broad diversity were taken from the hospital’s restaurant and presented to the participants. The food items were weighed on a standard balance and the true amount of carbohydrate was calculated from the USDA nutrient database. Participants were asked to count the carbohydrate content of each meal independently and then by using GoCARB. At the end of each session, a questionnaire was completed to assess the user’s experience with GoCARB. Results: The mean absolute error was 27.89 (SD 38.20) grams of carbohydrate for the estimation of participants, whereas the corresponding value for the GoCARB system was 12.28 (SD 9.56) grams of carbohydrate, which was a significantly better performance ( P=.001). In 75.4% (86/114) of the meals, the GoCARB automatic segmentation was successful and 85.1% (291/342) of individual food items were successfully recognized. Most participants found GoCARB easy to use. Conclusions: This study indicates that the system is able to estimate, on average, the carbohydrate content of meals with higher accuracy than individuals with type 1 diabetes can. The participants thought the app was useful and easy to use. GoCARB seems to be a well-accepted supportive mHealth tool for the assessment of served-on-a-plate meals.

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Glycogen is a major substrate in energy metabolism and particularly important to prevent hypoglycemia in pathologies of glucose homeostasis such as type 1 diabetes mellitus (T1DM). (13) C-MRS is increasingly used to determine glycogen in skeletal muscle and liver non-invasively; however, the low signal-to-noise ratio leads to long acquisition times, particularly when glycogen levels are determined before and after interventions. In order to ease the requirements for the subjects and to avoid systematic effects of the lengthy examination, we evaluated if a standardized preparation period would allow us to shift the baseline (pre-intervention) experiments to a preceding day. Based on natural abundance (13) C-MRS on a clinical 3 T MR system the present study investigated the test-retest reliability of glycogen measurements in patients with T1DM and matched controls (n = 10 each group) in quadriceps muscle and liver. Prior to the MR examination, participants followed a standardized diet and avoided strenuous exercise for two days. The average coefficient of variation (CV) of myocellular glycogen levels was 9.7% in patients with T1DM compared with 6.6% in controls after a 2 week period, while hepatic glycogen variability was 13.3% in patients with T1DM and 14.6% in controls. For comparison, a single-session test-retest variability in four healthy volunteers resulted in 9.5% for skeletal muscle and 14.3% for liver. Glycogen levels in muscle and liver were not statistically different between test and retest, except for hepatic glycogen, which decreased in T1DM patients in the retest examination, but without an increase of the group distribution. Since the CVs of glycogen levels determined in a "single session" versus "within weeks" are comparable, we conclude that the major source of uncertainty is the methodological error and that physiological variations can be minimized by a pre-study standardization. For hepatic glycogen examinations, familiarization sessions (MR and potentially strenuous interventions) are recommended. Copyright © 2016 John Wiley & Sons, Ltd.

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M. A. Klausner

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We have recently reported that psychological stress is associated with a shift in the human type-1/type-2 cytokine balance toward a type-2 cytokine response. The mechanisms of these cytokine alterations are unknown, but likely involve glucocorticoid (GC) modulation of cytokine production. Therefore we sought to characterize the effects of GC on the in vitro human type-1/type-2 cytokine balance. We hypothesized that GC induce a type-2 cytokine shift through modulation of critical regulatory cytokines and alterations in the CD28/B7 costimulatory pathway. ^ We first sought to characterize the effect of the GC, dexamethasone (DEX), on type-1 (IFN-γ, IL-12) and type-2 (IL-4, IL-10) cytokine production by human peripheral blood mononuclear blood cells (pBMC) stimulated with a variety of T-lymphocyte and monocyte stimuli. DEX, at concentrations mimicking stress and supraphysiologic levels of cortisol, decreased IFN-γ and IL-12 production and increased IL-4 and IL-10 production, indicating a shift in the type-1/type-2 cytokine balance toward a type-2 response. Furthermore, both CD4+ and CD8+ T-lymphocytes were susceptible to the cytokine modulating effects of DEX. Furthermore, in the absence of the monocyte, the DEX-induced alterations in T-lymphocyte cytokine production were reduced, indicating that the interaction between the monocyte and T-lymphocyte plays a significant role. ^ We next determined the role of regulatory cytokines, known to modulate the type-1/type-2 cytokine balance, in the DEX-induced cytokine alterations. The addition of the recombinant IL-12p70 and IFN-γ, but not the neutralization of IL-4, IL-10 or IL-13 using monoclonal antibodies, attenuated the DEX-induced type-1/type-2 cytokine alterations. These data suggest that the DEX-induced cytokine alterations are mediated, at least in part, through the initial inhibition type-1 cytokines. Lastly, we investigated the role of the CD28/B7 costimulatory pathway in these cytokine alterations. DEX decreased the expression of CD80 and CD86 on THP-1 cells, a monocyte cell line, and the expression of CD28 and CTLA-4 on PHA-stimulated pBMC. The DEX-induced decrease in CD28 and CTLA-4 expression was attenuated by rhIL-12. Finally, CD28 activation attenuated the DEX-induced decrease in IFN-γ production, suggesting that modulation of the CD28/B7 costimulatory pathway may contribute to the DEX-induced type-1/type-2 cytokine alterations. ^

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Evidence suggests that sex-based differences in immune function may predispose women to numerous hypersensitivity conditions such as Systemic lupus erythematosus (SLE), Hashimoto's thyroiditis and asthma. To date, the exact mechanisms of sexual dimorphism in immunity are not fully characterized but sex hormones such as 17-β estradiol (E2) and progesterone (PR) are believed to be involved. Since E2 and PR may modulate the production of critical regulatory cytokines, we sought to characterize their effects on the in vitro human type-1/type-2 cytokine balance. We hypothesized that E2 and/or PR vary cytokine production and influence costimulatory molecule expression and apoptosis. We first described the effect of E2 and/or PR on type-1 (IFN-γ and IL-12) and type-2 (IL-4 and IL-10) cytokine production by human peripheral blood mononuclear cells (PBMC) treated with various T-lymphocyte and monocyte stimuli. E2 and/or PR were each used at concentrations similar to those found at the maternal-fetal interface during pregnancy. At this dose, E2 increased IFN-γ and IL-12 production and PR decreased IFN-γ production and tended to increase IL-4 production. Furthermore, the combination of E2+PR decreased IL-12 production. This suggests that E2 shifts the type-1/type-2 cytokine balance towards a type-1 response and that PR and E2+PR shift the balance towards a type-2 response. Next, we used intracellular cytokine detection to demonstrate that E2 and/or PR are capable of altering cytokine production of CD3+ T-cells and the CD3+CD4+ and CD3+CD8+ subsets. In addition, we used the H9 T-lymphocyte cell line and the THP-1 monocyte cell line to show that E2 and/or PR can induce cytokine effects in both T-cells and monocytes independent of their interaction. Lastly, we determined the effect of E2 and/or PR on costimulatory molecule expression and apoptosis as potential mechanisms for the cytokine-induced alterations. E2 increased and PR decreased CD80 expression on THP-1 cells and PR and E2+PR decreased CD28 expression in PBMC and Jurkat cells. Furthermore, E2, PR and E2+PR increased Fas-mediated apoptosis in Jurkat cells and E2 increased FasL expression on THP-1 cells. Thus, E2 and/or PR may alter the cytokine balance by modulating the CD28/CD80 costimulatory pathway and apoptosis. ^

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BACKGROUND: Investigating individual, as opposed to predetermined, quality of life domains may yield important information about quality of life. This study investigated the individual quality of life domains nominated by youth with type 1 diabetes. METHODS: Eighty young people attending a diabetes summer camp completed the Schedule for the Evaluation of Individual Quality of Life-Direct Weighting interview, which allows respondents to nominate and evaluate their own quality of life domains. RESULTS: The most frequently nominated life domains were 'family', 'friends', 'diabetes', 'school', and 'health' respectively; ranked in terms of importance, domains were 'religion', 'family', 'diabetes', 'health', and 'the golden rule'; ranked in order of satisfaction, domains were 'camp', 'religion', 'pets', and 'family' and 'a special person' were tied for fifth. Respondent age was significantly positively associated with the importance of 'friends', and a significantly negatively associated with the importance of 'family'. Nearly all respondents nominated a quality of life domain relating to physical status, however, the specific physical status domain and the rationale for its nomination varied. Some respondents nominated 'diabetes' as a domain and emphasized diabetes 'self-care behaviors' in order to avoid negative health consequences such as hospitalization. Other respondents nominated 'health' and focused more generally on 'living well with diabetes'. In an ANOVA with physical status domain as the independent variable and age as the dependent variable, participants who nominated 'diabetes' were younger (M = 12.9 years) than those who nominated 'health' (M = 15.9 years). In a second ANOVA, with rationale for nomination the physical status domain as the independent variable, and age as the dependent variable, those who emphasized 'self care behaviors' were younger (M = 11.8 years) than those who emphasized 'living well with diabetes' (M = 14.6 years). These differences are discussed in terms of cognitive development and in relation to the decline in self-care and glycemic control often observed during adolescence. CONCLUSIONS: Respondents nominated many non-diabetes life domains, underscoring that QOL is multidimensional. Subtle changes in conceptualization of diabetes and health with increasing age may reflect cognitive development or disease adjustment, and speak to the need for special attention to adolescents. Understanding individual quality of life domains can help clinicians motivate their young patients with diabetes for self-care. Future research should employ a larger, more diverse sample, and use longitudinal designs.

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37 Briefe und Beilage zwischen Armin Hodler und Max Horkheimer, 1935-1948; 14 Briefe und Beilage zwischen Hans Honegger und Max Horkheimer, 1941-1946; 1 Brief und Beilage von Max Horkheimer an Paul Honigsheim, 1943; 9 Briefe zwischen Hans Horkheimer und Max Horkheimer, 1945-1948 sowie 1 Reisebericht, Peru, 1939; 2 Briefe zwischen Susanna Huber-Weisser und Max Horkheimer, 1949; 5 Briefe zwischen Helen MacGill-Hughes vom The American Journal of Sociology und Max Horkheimer, 1949; 1 Briefabschrift von Max Horkheimer an Edmund Husserl, 28.10.1931; 1 Brief von Elizabeth Husserl-Rosenberg, 06.01.1948;

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5 Briefe zwischen C. C. Eckhardt und Max Horkheimer, 1942; 41 Briefe und Beilage zwischen Lilly Eckmeyer und Max Horkheimer, 1947-1950; 1 Brief und Beilage von Max Horkheimer an das Colegio de Mexico, 1943; 15 Briefe zwischen K. Heiner Emhardt und Max Horkheimer, 1945-1948; 8 Briefe und Beilage zwischen Ernst Engelberg und Max Horkheimer, 1946-1947; 5 Briefe zwischen Gertrude Speer und Max Horkheimer, 1946 siehe auch Ernst Engelberg; 1 Brief von Max Horkheimer an Erik H. Erikson, 1946; 2 Briefe und Beilage zwischen Esprit [Zeitschrift] und Max Horkheimer, 1947, 1948;

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4 Briefe zwischen Frederick Lilge und Max Horkheimer, 1948; 15 Briefe zwischen Marjorie Fiske Lissance und Max Horkheimer, 1947-1948; 2 Brief und Beilage von Max Horkheimer an Harvey J. Locke, 1948; 3 Briefe zwischen Walter Lichtblau-Lohner und Max Horkheimer, 1940-1944; 2 Briefe zwischen Anton Lourie und Max Horkheimer, 17.08.1945, 1.09.1945 sowie 1 Memorandum von Max Horkheimer über ein Gespräch mit Anton Lourie 26.09.1945; 1 Brief von G. L. an George A. Lundberg, 1948; 6 Briefe zwischen Zvi Lurie und Max Horkheimer, 1949; 3 Briefe zwischen Georg Lukács und Max Horkheimer, 07.07.1948, 1948-1949; 1 Brief von Helen Lynd an Max Horkheimer, 1945;