DocumentCode :
2692
Title :
Dissecting Heart Failure Through the Multiscale Approach of Systems Medicine
Author :
Pattini, L. ; Sassi, Roberto ; Cerutti, Sergio
Author_Institution :
Dept. of Electron., Inf. & Bioeng., Politec. di Milano, Milan, Italy
Volume :
61
Issue :
5
fYear :
2014
fDate :
May-14
Firstpage :
1593
Lastpage :
1603
Abstract :
Heart failure (HF) is a complex syndrome which can be the exit of different etiologies which lead to a common clinical picture. Treatment outcome is modest and new insights into pathophysiology are needed to improve effectively diagnosis, prognosis, and therapy. As a complex disease, it can really benefit from the new approach provided by molecular medicine where information about the cell program can deeply change the patient management. The comprehension of molecular mechanisms relies on new technologies which are able to provide data at the different levels of the cell workflow. A proper processing of these data is as essential as the generation of data itself, together with an integrative approach able to exploit observations at different scales, starting from the molecular levels up to an effective assessment of phenotype with cardiovascular and systemic parameters. In this paper, evidences concerning current understanding of HF, passing from one scale to another, are reported, to underline how functional genomics and systems biology perspective, fostered by the combination of biotechnologies and bioinformatic methods, may transform the concepts of diagnosis and, consequently, of treatment, toward the fulfillment of the invoked patient-specific medicine.
Keywords :
RNA; bioinformatics; cardiovascular system; diseases; electrocardiography; genomics; medical signal processing; molecular biophysics; bioinformatic methods; biotechnologies; cardiovascular parameters; cell program; cell workflow; complex disease; complex syndrome; data generation; data processing; diagnosis; dissecting heart failure; etiologies; functional genomics; integrative approach; invoked patient-specific medicine; molecular levels; molecular mechanisms; molecular medicine; multiscale approach; pathophysiology; patient management; phenotype assessment; prognosis; systemic parameters; systems medicine; therapy; treatment outcome; Bioinformatics; Diseases; Gene expression; Genomics; Hafnium; Heart; Proteins; Bioinformatics; biomedical signal processing; functional genomics; heart failure (HF); multiscale data analysis;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2014.2307758
Filename :
6747364
Link To Document :
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