NEWS
2010 - 05 - 10 Bringing clinical and biological research closer through network-driven approaches
Biomedical translational research developed at the Laboratory of Cardiovascular Research (LCR) has been recently reported in several internationally-renowned scientific journals [1,2,3,4]. The papers point to new ways to predict and possibly treat disease based on the analysis of information clues extracted from complex molecular networks.
In particular, these advances offer new opportunities for tackling a specific medical problem: the early detection of heart dysfunction after suffering a heart attack, as well as the computer-assisted exploration of novel therapeutic strategies at the molecular level. Some of the novel findings reported in these papers are currently being tested in vitro and validated in larger patient cohorts. The success of these studies may provide new biomarkers or drug targets for patients with heart disease.
The new computing methodologies investigated were driven by specific biomedical problems and constraints, but they may be relevant to other clinical research areas. These publications underscore the value of predictive, integrative computational approaches to translational research.
1. Azuaje F, Devaux Y, Wagner D, Identification of potential targets in biological signalling systems through network-based perturbation analysis, BioSystems, 2010.
2. Azuaje F, Devaux Y, Wagner D, Integrative pathway-centric modeling of ventricular dysfunction after myocardial infarction, PLoS ONE, 2010.
3. Devaux Y, Azuaje F, Vausort M, Yvorra C, Wagner D, Integrated protein network and microarray analysis to identify potential biomarkers after myocardial infarction. Functional & Integrative Genomics, 2010.
4. Azuaje F, Devaux Y, Wagner D, Coordinated modular functionality and prognostic potential of a heart failure biomarker-driven interaction network. BMC Systems Biology, 2010.