807 resultados para kidney disease


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This study examines the invention, innovation, introduction and use of a new drug therapy for coronary heart disease and hypertension; beta-blockade. The relationships between drug introductions and changes in medical perceptions of disease are analysed, and the development and effects of our perception of heart disease through drug treatments and diagnostic technology is described. The first section looks at the evolution of hypertension from its origin as a kidney disorder, Bright's disease, to the introduction and use of effective drugs for its treatment. It is shown that this has been greatly influenced by the introduction of new medical technologies. A medical controversy over its nature is shown both to be strongly influenced by the use of new drugs, and to influence their subsequent use. The second section reviews the literature analysing drug innovation, and examines the innovation of the beta-blocking drugs, making extensive use of participant accounts. The way in which the development of receptor theory, the theoretical basis of the innovation,was influenced by the innovation and use of drugs is discussed, then the innovation at ICI, the introduction into clinical use, and the production of similar drugs by other manufacturers are described. A study of the effects of these drugs is then undertaken, concentrating on therapeutic costs and benefits, and changes in medical perceptions of disease. The third section analyses the effects of other drugs on heart disease, looking at changes in mortality statistics and in medical opinions. The study concludes that linking work on drug innovation with that on drug effects is fruitful, that new drugs and diagnostic technology have greatly influenced medical perceptions of the nature and extent of heart disease, and that in hypertension, the improvement in drug treatment will soon result in much of the population being defined as in need of it life-long.

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Aims - To investigate the effect of a range of demographic and psychosocial variables on medication adherence in chronic obstructive pulmonary disease (COPD) patients managed in a secondary care setting. Methods - A total of 173 patients with a confirmed diagnosis of COPD, recruited from an outpatient clinic in Northern Ireland, participated in the study. Data collection was carried out via face-to-face interviews and through review of patients’ medical charts. Social and demographic variables, co-morbidity, self-reported drug adherence (Morisky scale), Hospital Anxiety and Depression (HAD) scale, COPD knowledge, Health Belief Model (HBM) and self-efficacy scales were determined for each patient. Results - Participants were aged 67 ± 9.7 (mean ± SD) years, 56 % female and took a mean (SD) of 8.2 ± 3.4 drugs. Low adherence with medications was present in 29.5 % of the patients. Demographic variables (gender, age, marital status, living arrangements and occupation) were not associated with adherence. A range of clinical and psychosocial variables, on the other hand, were found to be associated with medication adherence, i.e. beliefs regarding medication effectiveness, severity of COPD, smoking status, presence of co-morbid illness, depressed mood, self-efficacy, perceived susceptibility and perceived barriers within the HBM (p < 0.05). Logistic regression analysis showed that perceived ineffectiveness of medication, presence of co-morbid illness, depressed mood and perceived barriers were independently associated with medication non-adherence in the study (P < 0.05). Conclusions - Adherence in COPD patients is influenced more by patients’ perception of their health and medication effectiveness, the presence of depressed mood and co-morbid illness than by demographic factors or disease severity.

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The amyloid cascade hypothesis places amyloid-β at the origin of Alzheimer's disease (AD). Amyloid-β (Aβ) is the product of the sequential cleavage of the amyloid precursor protein (APP) by the enzymes β- and γ-secretases. An inflammatory component to AD has been suggested in association with CD40 (a member of the tumor necrosis factor receptor superfamily (TNFRS) and its cognate ligand CD40L. In this study, I hypothesized that the neutralization of pro-inflammatory cytokines produced downstream of CD40/CD40L interaction would reduce APP processing. I also hypothesized that blocking the binding of different adaptor proteins to CD40 by mutating its cytoplasmic tail would result in significant reduction of the APP metabolites: Aβ, sAPPβ, sAPPα, CTFβ and CTFα. ^ Treatment with CD40L of human embryonic kidney cells over-expressing both APP and CD40 (HEK/APPsw/CD40) significantly increased levels of the cytokine granulocyte macrophage colony stimulating factor (GM-CSF). Neutralizing antibodies against GM-CSF mitigated the CD40L-induced production of Aβ in these cells. Treatment of the HEK/APPsw/CD40 cells with recombinant GM-CSF significantly increased Aβ levels. GM-CSF receptor gene silencing with shRNA significantly reduced Aβ levels to below base line in non-stimulated HEK/APPsw/CD40 cells. Silencing of the GM-CSF receptor also decreased APP endocytosis (therefore reducing the availability of APP to be cleaved in the endosomes). ^ Using CD40 mutants, I show that CD40L can increase levels of Aβ(1-40), Aβ(1-42), sAPPβ, sAPPα and CTFβ independently of TRAF signaling. TRAFs had been shown to be necessary for most CD40/CD40L-dependent signaling. An increase in mature/immature APP ratio after CD40L treatment of CD40wt and CD40-mutant cells was observed, reflecting alterations in APP trafficking. CD4OL treatment of a neuroblastoma cell line over-expressing CTFβ suggested that CD40L affected γ-secretase activity. Inhibition of γ-secretase activity significantly reduced sAPPβ levels in the CD40L treated HEK/APPsw CD40wt and the CD40-mutant cells. The latter suggests CD40/CD40L interaction primarily acts on γ-secretase and affects β-secretase via a positive feedback mechanism. ^ Taken together, the results of this dissertation suggest that GM-CSF operates downstream of CD40/CD40L interaction and that GM-CSF modulates Aβ production by influencing APP trafficking. Moreover, the data presented suggest that CD40/CD40L interaction can modulate APP processing via a mechanism independent of TRAF signaling. ^

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To detect rainbow trout hatcheries for infectious hematopoietic necrosis virus, samples of kidney, liver, spleen, muscle, intestine, heart and gills of trout larvae were obtained from a number of trout hatcheries from different provinces. Also tissue samples were obtained for molecular works using RT- PCR procedure. Tissue samples were processed using standard histotechnique and the obtained sections were stained using immunohistochemical procedure. From 100 examined samples 35 were positive for IHN by immunohistochemical test. Also, from 100 samples examined, 43 were positive in RT- PCR studies. The obtained results show that some rainbow trout hatcheries are contaminated in different regions of country. Therefore, a definition of prevention and eradication criteria are now critical to protect the unaffected areas within the country.

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Kidney transplantation is the treatment of choice for end-stage renal disease. The evaluation of graft function is mandatory in the management of renal transplant recipients. Glomerular filtration rate (GFR), is generally considered the best index of graft function and also a predictor of graft and patient survival. However GFR measurement using inulin clearance, the gold standard for its measurement and exogenous markers such as radiolabeled isotopes ((51)Cr EDTA, (99m)Tc DTPA or (125)I Iothalamate) and non-radioactive contrast agents (Iothalamate or Iohexol), is laborious as well as expensive, being rarely used in clinical practice. Therefore, endogenous markers, such as serum creatinine or cystatin C, are used to estimate kidney function, and equations using these markers adjusted to other variables, mainly demographic, are an attempt to improve accuracy in estimation of GFR (eGFR). Nevertheless, there is some concern about the inability of the available eGFR equations to accurately identify changes in GFR, in kidney transplant recipients. This article will review and discuss the performance and limitations of these endogenous markers and their equations as estimators of GFR in the kidney transplant recipients, and their ability in predicting significant clinical outcomes.

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Kidney transplantation has been recognised as the optimal treatment choice for most end stage renal disease patients and the increase of allograft survival rates is achieved through the refinement of novel immunosuppressive agents. Chronic Graft Disease (CGD) is a multifactorial process that likely includes a combination of immunological, apoptotic and inflammatory factors. The application of individualised immunosuppressive therapies will also depend on the identification of risk factors that can influence chronic disease. Despite being the subject of several independent studies, investigations of the relationship between transforming growth factor-b1 (TGF-b1) polymorphisms and kidney graft outcome continue to be plagued by contradictory conclusions.

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In this study we examined the impact of weather variability and tides on the transmission of Barmah Forest virus (BFV) disease and developed a weather-based forecasting model for BFV disease in the Gladstone region, Australia. We used seasonal autoregressive integrated moving-average (SARIMA) models to determine the contribution of weather variables to BFV transmission after the time-series data of response and explanatory variables were made stationary through seasonal differencing. We obtained data on the monthly counts of BFV cases, weather variables (e.g., mean minimum and maximum temperature, total rainfall, and mean relative humidity), high and low tides, and the population size in the Gladstone region between January 1992 and December 2001 from the Queensland Department of Health, Australian Bureau of Meteorology, Queensland Department of Transport, and Australian Bureau of Statistics, respectively. The SARIMA model shows that the 5-month moving average of minimum temperature (β = 0.15, p-value < 0.001) was statistically significantly and positively associated with BFV disease, whereas high tide in the current month (β = −1.03, p-value = 0.04) was statistically significantly and inversely associated with it. However, no significant association was found for other variables. These results may be applied to forecast the occurrence of BFV disease and to use public health resources in BFV control and prevention.