8 resultados para Genetische Prädisposition
em BORIS: Bern Open Repository and Information System - Berna - Suiça
Resumo:
Eight members of a family of Working Kelpies were presented with signs compatible with dermatomyositis. Alopecia, crusts, ulcerations of the skin, depigmentation of nasal planum and lips, onychodystrophy and atrophy of the masticatory muscles were present with varying degree. Histopathology of the skin, but not from muscles was performed in three dogs and confirmed the clinical diagnosis. Different immunomodulating drugs (steroids, cyclosporine, mycophenolate mofetil, pentoxifylline, doxycyline/niacinamid, omega-3 fatty acids and vitamin E) were used with variable success. Dermatomyositis is an immune-mediated disease and a genetic predisposition is known in humans and certain canine breeds, mainly Shetland Sheepdogs and Collies, but also for the Beauceron. The responsible genes have not been identified so far. It is assumed that the Working Kelpie derives from the Collie which could explain a hereditary predisposition in the Kelpie.
Resumo:
Recurrent airway obstruction (RAO) is a multifactorial and polygenic disease. Affected horses are typically 7 years of age or older and show exercise intolerance, increased breathing effort, coughing, airway neutrophilia, mucus accumulation and hyperreactivity as well as cholinergic bronchospasm. The environmental factors responsible are predominantly allergens and irritants in haydust, but the immunological mechanisms underlying RAO are still unclear. Several studies have demonstrated a familiar predisposition for RAO and it is now proven that the disease has a genetic basis. In offspring, the risk of developing RAO is 3-fold increased when one parent is affected and increases to almost 5-fold when both parents have RAO. Segregation analysis in two high-prevalence families demonstrated a high heritability and a complex inheritance with several major genes. A whole genomescan showed chromosome-wide significant linkage of seven chromosomal regions with RAO. Of the microsatellites, which were located near atopy candidate genes, those in a region of chromosome 13 harboring the IL4R gene were strongly associated with the RAO phenotype in the offspring of one RAO-affected stallion. Furthermore, IgE-levels are influenced by hereditary factors in the horse, and we have evidence that RAO-affected offspring of the same stallion have increased levels of specific IgE against moldspore allergens. The identification of genetic markers and ultimately of the responsible genes will not only allow for an improved prophylaxis, i.e. early identification of susceptible individuals and avoidance of high-risk matings, but also improve our ability to find new therapeutic targets and to optimize existing treatments.
Resumo:
Osteoclast research has an exciting history and a challenging future. More than 3 decades ago, it became evident that bone-resorbing osteoclasts are of hematopoietic origin and are ultimately linked to the "basic multicellular unit," where they team up with the other cell types, including bone-forming osteoblasts. Since 2 decades, we have learned about the signaling pathways controlling genes relevant for osteoclastogenesis and bone resorption. It took another decade until the hypothesized "osteoclast differentiation" factor was discovered and was translated into an approved pharmacologic strategy. Here, the focus is on another molecular target, cathepsin K, a cysteine protease being released by the osteoclast into the resorption compartment. Genetic deletion and pharmacological blocking of cathepsin K reduces bone resorption but with ongoing bone formation. This observation not only holds great promise to become a new pharmacologic strategy, but it also provides new insights into the coordinated work of cells in the "basic multicellular unit" and thus, bridges the history and future of osteoclast research. This article is a short primer on osteoclast biology for readers of the special issue on odanacatib, a cathepsin K inhibitor.
Resumo:
1. Einleitung 2. Determinanten der Wahlbeteiligung 2.1 Umweltfaktoren 2.2 Genetische Faktoren 2.3 Wirkungsmechanismen 3. Forschungsdesign, Methode und Daten 3.1 Das methodische Vorgehen 3.2 Der Datensatz 3.3 Operationalisierung 4. Analyse: Persönlichkeit, Drittvariablen und Wahlteilnahme 4.1 Regressionsmodelle 4.2 Strukturgleichungsmodell 4.3 Totale Effekte der einzelnen Mechanismen auf die Wahlteilnahme 5. Schlussbetrachtungen