TY - JOUR
T1 - A systems medicine clinical platform for understanding and managing non- communicable diseases
AU - Cesario, Alfredo
AU - Auffray, Charles
AU - Agusti, Alvar
AU - Apolone, Giovanni
AU - Balling, Rudi
AU - Barbanti, Piero
AU - Bellia, Alfonso
AU - Boccia, Stefania
AU - Bousquet, Jean
AU - Cardaci, Vittorio
AU - Cazzola, Mario
AU - Dall’Armi, Valentina
AU - Daraselia, Nikolai
AU - Ros, Lucio Da
AU - Bufalo, Alessandra Del
AU - Ducci, Giuseppe
AU - Ferri, Luigi
AU - Fini, Massimo
AU - Fossati, Chiara
AU - Gensini, Gianfranco
AU - Granone, Pierluigi Maria
AU - Kinross, James
AU - Lauro, Davide
AU - Cascio, Gerland Lo
AU - Lococo, Filippo
AU - Lococo, Achille
AU - Maier, Dieter
AU - Marcus, Frederick
AU - Margaritora, Stefano
AU - Marra, Camillo
AU - Minati, Gianfranco
AU - Neri, Monica
AU - Pasqua, Franco
AU - Pison, Christophe
AU - Pristipino, Christian
AU - Roca, Joseph
AU - Rosano, Giuseppe
AU - Rossini, Paolo Maria
AU - Russo, Patrizia
AU - Salinaro, Gianluca
AU - Shenhar, Shani
AU - Soreq, Hermona
AU - Sterk, Peter J.
AU - Stocchi, Fabrizio
AU - Torti, Margherita
AU - Volterrani, Maurizio
AU - Wouters, Emiel F.
AU - Frustaci, Alessandra
AU - Bonassi, Stefano
PY - 2014
Y1 - 2014
N2 - Non-Communicable Diseases (NCDs) are among the most pressing global health problems of the twenty-first century. Their rising incidence and prevalence is linked to severe morbidity and mortality, and they are putting economic and managerial pressure on healthcare systems around the world. Moreover, NCDs are impeding healthy aging by negatively affecting the quality of life of a growing number of the global population. NCDs result from the interaction of various genetic, environmental and habitual factors, and cluster in complex ways, making the complex identification of resulting phenotypes not only difficult, but also a top research priority. The degree of complexity required to interpret large patient datasets generated by advanced high-throughput functional genomics assays has now increased to the point that novel computational biology approaches are essential to extract information that is relevant to the clinical decision-making process. Consequently, system-level models that interpret the interactions between extensive tissues, cellular and molecular measurements and clinical features are also being created to identify new disease phenotypes, so that disease definition and treatment are optimized, and novel therapeutic targets discovered. Likewise, Systems Medicine (SM) platforms applied to extensively-characterized patients provide a basis for more targeted clinical trials, and represent a promising tool to achieve better prevention and patient care, thereby promoting healthy aging globally. The present paper: (1) reviews the novel systems approaches to NCDs; (2) discusses how to move efficiently from Systems Biology to Systems Medicine; and (3) presents the scientific and clinical background of the San Raffaele Systems Medicine Platform.
AB - Non-Communicable Diseases (NCDs) are among the most pressing global health problems of the twenty-first century. Their rising incidence and prevalence is linked to severe morbidity and mortality, and they are putting economic and managerial pressure on healthcare systems around the world. Moreover, NCDs are impeding healthy aging by negatively affecting the quality of life of a growing number of the global population. NCDs result from the interaction of various genetic, environmental and habitual factors, and cluster in complex ways, making the complex identification of resulting phenotypes not only difficult, but also a top research priority. The degree of complexity required to interpret large patient datasets generated by advanced high-throughput functional genomics assays has now increased to the point that novel computational biology approaches are essential to extract information that is relevant to the clinical decision-making process. Consequently, system-level models that interpret the interactions between extensive tissues, cellular and molecular measurements and clinical features are also being created to identify new disease phenotypes, so that disease definition and treatment are optimized, and novel therapeutic targets discovered. Likewise, Systems Medicine (SM) platforms applied to extensively-characterized patients provide a basis for more targeted clinical trials, and represent a promising tool to achieve better prevention and patient care, thereby promoting healthy aging globally. The present paper: (1) reviews the novel systems approaches to NCDs; (2) discusses how to move efficiently from Systems Biology to Systems Medicine; and (3) presents the scientific and clinical background of the San Raffaele Systems Medicine Platform.
KW - platform
KW - system edicine
KW - platform
KW - system edicine
UR - http://hdl.handle.net/10807/63938
U2 - 10.2174/1381612820666140314130449
DO - 10.2174/1381612820666140314130449
M3 - Article
SN - 1381-6128
VL - 20
SP - 5945
EP - 5956
JO - Current Pharmaceutical Design
JF - Current Pharmaceutical Design
ER -