tailieunhanh - báo cáo khoa học: " Systems medicine and the integration of bioinformatic tools for the diagnosis of Alzheimer’s disease"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Systems medicine and the integration of bioinformatic tools for the diagnosis of Alzheimer’s disease | Oresic et al. Genome Medicine 2010 2 83 http content 2 11 83 w Genome Medicine REVIEW L_ Systems medicine and the integration of bioinformatic tools for the diagnosis of Alzheimer s disease Matej Oresic1 Jyrki Lotjonen2 and Hilkka Soininen3 Abstract Because of the changes in demographic structure the prevalence of Alzheimer s disease is expected to rise dramatically over the next decades. The progression of this degenerative and terminal disease is gradual with the subclinical stage of illness believed to span several decades. Despite this no therapy to prevent or cure Alzheimer s disease is currently available. Early disease detection is still important for delaying the onset of the disease with pharmacological treatment and or lifestyle changes assessing the efficacy of potential therapeutic agents or monitoring disease progression more closely using medical imaging. Sensitive cerebrospinal-fluid-derived marker candidates exist but given the invasiveness of sample collection their use in routine diagnostics may be limited. The pathogenesis of Alzheimer s disease is complex and poorly understood. There is thus a strong case for integrating information across multiple physiological levels from molecular profiling metabolomics lipidomics proteomics and transcriptomics and brain imaging to cognitive assessments. To facilitate the integration of heterogeneous data such as molecular and image data sophisticated statistical approaches are needed to segment the image data and study their dependencies on molecular changes in the same individuals. Molecular profiling combined with biophysical modeling of molecular assemblies associated with the disease offer an opportunity to link the molecular pathway changes with cell- and tissue-level physiology and structure. Given that data acquired at different levels can carry complementary information about early Alzheimer s disease pathology it is expected that their integration will improve early .