title: Key network approach reveals new insight into Alzheimer's disease.
abstract: Alzheimer's disease (AD) is a severe neurodegenerative disorder without curative treatment. Extensive data on pathological molecular processes have been accumulated over the last years. These data combined allows a systems biology approach to identify key regulatory elements of AD and to establish a model descriptive of the disease process which can be used for the development of therapeutic agents. In this study, the authors propose a closed network that uses a set of nodes (amyloid beta, tau, beta-secretase, glutamate, cyclin-dependent kinase 5, phosphoinositide 3-kinase and hypoxia-induced factor 1 alpha) as key elements of importance to the pathogenesis of AD. The proposed network, in total 39 nodes, is able to become a novel tool capable of providing new insights into AD, such as feedback loops. Further, it highlights interconnections between pathways and identifies their combination for therapy of AD.
authors: Division of Immunopathology of the Nervous System, Department of Neuropathology, University Tuebingen, Germany. jan-kevin.schluesener@uni-tuebingen.de.
authors: Jan K
authors: JK
authors: Schluesener
authors: Shanghai Center for Systems Biomedicine, Shanghai Jiaotong University, Shanghai 200240, People's Republic of China.
authors: Xiaomei
authors: X
authors: Zhu
authors: Division of Immunopathology of the Nervous System, Department of Neuropathology, University Tuebingen, Germany.
authors: Hermann J
authors: HJ
authors: Schluesener
authors: Shanghai Center for Systems Biomedicine, Shanghai Jiaotong University, Shanghai 200240, People's Republic of China.
authors: Gao-Wei
authors: GW
authors: Wang
authors: Shanghai Center for Systems Biomedicine, Shanghai Jiaotong University, Shanghai 200240, People's Republic of China.
authors: Ping
authors: P
authors: Ao
mesh_terms: D000465:Algorithms; D000544:Alzheimer Disease / Q000378:metabolism*; D001921:Brain / Q000378:metabolism*; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D009419:Nerve Tissue Proteins / Q000378:metabolism*; D015398:Signal Transduction
chemical_list: D009419:Nerve Tissue Proteins