II Consenso Colombiano para el Manejo de la Osteoporosis Posmenopáusica

The Colombian Osteoporosis and Mineral Metabolism Association met in early 2017 to update the Colombian Consensus on Osteoporosis. This was first issued in 2005, and is seen as a necessary step in view of the underdiagnosed status of this disease, and the expected impact of population ageing. A technical team was formed with specialists with long experience across multiple disciplines, who were assigned to four working groups: definitions and epidemiology, diagnosis, pharmacological treatment, and non-pharmacological treatment. After a scientific literature review and a series of meetings, the definitions and recommendations are summarised in this article. © 2018 Asociación Colombiana de Reumatologí

II Consenso Colombiano para el Manejo de la Osteoporosis Posmenopáusica

The Colombian Osteoporosis and Mineral Metabolism Association met in early 2017 to update the Colombian Consensus on Osteoporosis. This was first issued in 2005, and is seen as a necessary step in view of the underdiagnosed status of this disease, and the expected impact of population ageing. A technical team was formed with specialists with long experience across multiple disciplines, who were assigned to four working groups: definitions and epidemiology, diagnosis, pharmacological treatment, and non-pharmacological treatment. After a scientific literature review and a series of meetings, the definitions and recommendations are summarised in this article. © 2018 Asociación Colombiana de Reumatologí

Improved cholesterol phenotype analysis by a model relating lipoprotein life cycle processes to particle size[S]

Increased plasma cholesterol is a known risk factor for cardiovascular disease. Lipoprotein particles transport both cholesterol and triglycerides through the blood. It is thought that the size distribution of these particles codetermines cardiovascular disease risk. New types of measurements can determine the concentration of many lipoprotein size-classes but exactly how each small class relates to disease risk is difficult to clear up. Because relating physiological process status to disease risk seems promising, we propose investigating how lipoprotein production, lipolysis, and uptake processes depend on particle size. To do this, we introduced a novel model framework (Particle Profiler) and evaluated its feasibility. The framework was tested using existing stable isotope flux data. The model framework implementation we present here reproduced the flux data and derived lipoprotein size pattern changes that corresponded to measured changes. It also sensitively indicated changes in lipoprotein metabolism between patient groups that are biologically plausible. Finally, the model was able to reproduce the cholesterol and triglyceride phenotype of known genetic diseases like familial hypercholesterolemia and familial hyperchylomicronemia. In the future, Particle Profiler can be applied for analyzing detailed lipoprotein size profile data and deriving rates of various lipolysis and uptake processes if an independent production estimate is given