Hematologically important mutations: X-linked chronic granulomatous disease (third update)

Chronic granulomatous disease (CGD) is an immunodeficiency disorder affecting about 1 in 250,000 individuals. The disease is caused by a lack of superoxide production by the leukocyte enzyme NADPH oxidase. Superoxide is used to kill phagocytosed micro-organisms in neutrophils, eosinophils, monocytes and macrophages. The leukocyte NADPH oxidase is composed of five subunits, of which the enzymatic component is gp91-phox, also called Nox2. This protein is encoded by the CYBB gene on the X chromosome. Mutations in this gene are found in about 70% of all CGD patients. This article lists all mutations identified in CYBB in the X-linked form of CGD. Moreover, apparently benign polymorphisms in CYBB are also given, which should facilitate the recognition of future disease-causing mutations. (C) 2010 Elsevier Inc. All rights reserved.

The kidney in different stages of the cardiovascular continuum

Patients with chronic kidney disease are at higher risk of developing cardiovascular disease. The complex, interaction between the kidney and the cardiovascular system is incompletely understood, particularly at the early stages of the cardiovascular continuum. The overall aim of this thesis was to clarify novel aspects of the interplay between the kidney and the cardiovascular system at different stages of the cardiovascular continuum; from risk factors such as insulin resistance, inflammation and oxidative stress, via sub-clinical cardiovascular damage such as endothelial dysfunction and left ventricular dysfunction, to overt cardiovascular death. This thesis is based on two community-based cohorts of elderly, Uppsala Longitudinal Study of Adult Men (ULSAM) and Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS). The first study, show that higher insulin sensitivity, measured with euglycemic-hyperinsulinemic clamp technique was associated to improve estimated glomerular filtration rate (eGFR) in participants with normal fasting plasma glucose, normal glucose tolerance and normal eGFR. In longitudinal analyses, higher insulin sensitivity at baseline was associated with lower risk of impaired renal function during follow-up. In the second study, eGFR was inversely associated with different inflammatory markers (C-reactive protein, interleukin-6, serum amyloid A) and positively associated with a marker of oxidative stress (urinary F2-isoprostanes). In line with this, the urinary albumin/creatinine ratio was positively associated with these inflammatory markers, and negatively associated with oxidative stress. In study three, higher eGFR was associated with better endothelial function as assessed by the invasive forearm model. Further, in study four, higher eGFR was significantly associated with higher left ventricular systolic function (ejection fraction). The 5th study of the thesis shows that higher urinary albumin excretion rate (UAER) and lower eGFR was independently associated with an increased risk for cardiovascular mortality. Analyses of global model fit, discrimination, calibration, and reclassification suggest that UAER and eGFR add relevant prognostic information beyond established cardiovascular risk factors in participants without prevalent cardiovascular disease. Conclusion: this thesis show that the interaction between the kidney and the cardiovascular system plays an important role in the development of cardiovascular disease and that this interplay begins at an early asymptomatic stage of the disease process.

Predictive models for chronic renal disease using decision trees, naïve bayes and case-based methods

Data mining can be used in healthcare industry to “mine” clinical data to discover hidden information for intelligent and affective decision making. Discovery of hidden patterns and relationships often goes intact, yet advanced data mining techniques can be helpful as remedy to this scenario. This thesis mainly deals with Intelligent Prediction of Chronic Renal Disease (IPCRD). Data covers blood, urine test, and external symptoms applied to predict chronic renal disease. Data from the database is initially transformed to Weka (3.6) and Chi-Square method is used for features section. After normalizing data, three classifiers were applied and efficiency of output is evaluated. Mainly, three classifiers are analyzed: Decision Tree, Naïve Bayes, K-Nearest Neighbour algorithm. Results show that each technique has its unique strength in realizing the objectives of the defined mining goals. Efficiency of Decision Tree and KNN was almost same but Naïve Bayes proved a comparative edge over others. Further sensitivity and specificity tests are used as statistical measures to examine the performance of a binary classification. Sensitivity (also called recall rate in some fields) measures the proportion of actual positives which are correctly identified while Specificity measures the proportion of negatives which are correctly identified. CRISP-DM methodology is applied to build the mining models. It consists of six major phases: business understanding, data understanding, data preparation, modeling, evaluation, and deployment.

Diabetes mellitus triggers oxidative stress in the liver of alloxan-treated rats: A mechanism for diabetic chronic liver disease

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Protective actions of melatonin against heart damage during chronic Chagas disease

Chronic cardiomyopathy is the most important clinical form of Chagas disease, and it is characterised by myocarditis that is associated with fibrosis and organ dysfunction. Alternative treatment options are important tools to modulate host immune responses. The main goal of this work was to evaluate the anti-inflammatory actions of melatonin during the chronic phase of Chagas disease. TNF-α, IL-10 and nitrite concentrations were evaluated as predictive factors of immune modulation. Creatine phosphokinase-MB (CK-MB), cardiac inflammatory foci and heart weight were assessed to evaluate the efficacy of the melatonin treatment. Male Wistar rats were infected with 1 × 105 blood trypomastigotes of the Y strain of Trypanosoma cruzi and kept untreated for 60 days to mimic chronic infection. After this period, the rats were orally treated with melatonin 50 mg/kg/day, and the experiments were performed 90, 120, and 180 days post-infection. Melatonin treatment significantly increased the concentration of IL-10 and reduced the concentrations of NO and TNF-α produced by cardiomyocytes. Furthermore, it led to decreased heart weight, serum CK-MB levels and inflammatory foci when compared to the untreated and infected control groups. We conclude that melatonin therapy is effective at protecting animals against the harmful cardiac inflammatory response that is characteristic of chronic T. cruzi infection. © 2013 Elsevier B.V. All rights reserved.

Avaliação clínico-laboratorial de cães com doença renal crônica sob tratamento com o antioxidante N-acetilcisteína

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estudo da hipoplasia sanguínea e quantificação imunofenotípica de células CD45+ no sangue e na medula óssea de cães com doença renal crônica

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Associação entre o condicionamento físico e rigidez arterial em pacientes com doença renal crônica

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Influência do tempo e da temperatura de estocagem de amostras de sangue nas variáveis hematológicas de cães portadores de enfermidade renal crônica

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Pesquisa e genotipagem do vírus da hepatite C em portadores de doenças renais crônicas submetidos à hemodiálise

Pacientes com doença renal crônica tem alto risco de adquirir o vírus da hepatite C (VHC). A prevalência de hepatite C em unidades de hemodiálise é elevada. O estudo teve por objetivo avaliar a presença do VHC e seus diferentes genótipos em portadores de doença renal crônica que realizaram hemodiálise em Belém e região metropolitana, no Estado do Pará, Brasil, determinando a prevalência do vírus, genótipos e as características epidemiológicas dos portadores da doença renal crônica. Foi realizado um estudo transversal, em sete unidades de hemodiálise das cidades de Belém e região metropolitana, no período de outubro de 2011 a abril de 2012. Foi aplicado um questionário com dados sociais, epidemiológicos e sobre a presença de fatores de risco para hepatites virais. Material biológico foi coletado dos pacientes para os exames ELISA e PCR VHC. Os pacientes com presença de RNA viral foram avaliados quanto aos genótipos. A prevalência dos anticorpos para VHC entre os indivíduos estudados foi de 8,4%, enquanto 5,4% apresentaram RNA viral, com 0,1% entre os não reagentes. O genótipo 1 foi o mais prevalente, com 86,1%, seguido do tipo 2, com 11,6%. O tipo 3 teve somente 2,3%. A análise epidemiológica mostrou predomínio do sexo masculino, faixa etária de 49 anos, casados ou em união estável, com baixo nível de escolaridade e renda familiar de até 2 salários mínimos. A principal causa da doença renal crônica foi o diabetes mellitus (34,4%), seguida de glomerulonefrites (18,6%) e hipertensão arterial (17,1%). O tempo de hemodiálise foi significativamente importante fator de risco para aquisição do VHC (p=0,012), com a maioria dos portadores do VHC que adquiriram a doença durante hemodiálise estava acima de 5 anos de tratamento (p= 0,0001). Outro fator de risco associado ao VHC foi transplante de órgão prévio. Conclui-se que, em Belém e região metropolitana, a prevalência de VHC em hemodiálise foi elevada e o genótipo mais frequente é o mesmo da população geral no norte do Brasil.

Mannose-binding lectin gene polymorphism and risk factors for cardiovascular disease in postmenopausal women

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Ultrasound analysis of a canine patient with renal disease and chronic liver disease undergoing treatment with intravenous stem cells

With the improvement in quality of life of animals, it is increasingly frequent clinical care of elderly patients, which present renal disorders, including chronic renal failure. Recent studies report the use of stem cells to treat renal failure, which would improve the levels of urea and creatinine, and in renal ultrasound evaluation. With the present work, the idea is to report a case of ultrasonographic evaluation in a patient with chronic renal failure, liver disease and splenic nodule, which underwent stem cell therapy, where there was an improvement in the sonographic evaluation of part of the liver.

Fatores indutores e supressores da eritropoiese em caninos doentes renais crônicos

Pós-graduação em Medicina Veterinária - FCAV