How Gene Networks Can Uncover Novel CVD Players
- PDF / 247,585 Bytes
- 8 Pages / 595.276 x 790.866 pts Page_size
- 57 Downloads / 157 Views
LIPIDS (J ORDOVAS, L PARNELL, SECTION EDITORS)
How Gene Networks Can Uncover Novel CVD Players Laurence D. Parnell & Patricia Casas-Agustench & Lakshmanan K. Iyer & Jose M. Ordovas
Published online: 30 January 2014 # Springer Science+Business Media New York (outside the USA) 2014
Abstract Cardiovascular diseases (CVD) are complex, involving numerous biological entities from genes and small molecules to organ function. Placing these entities in networks where the functional relationships among the constituents are drawn can aid in our understanding of disease onset, progression, and prevention. While networks, or interactomes, are often classified by a general term, say lipids or inflammation, it is a more encompassing class of network that is more informative in showing connections among the active entities and allowing better hypotheses of novel CVD players to be formulated. A range of networks will be presented whereby the potential to bring new objects into the CVD milieu will be exemplified.
Keywords Cardiovascular disease . Genetics . Interactions . Network . Risk
This article is part of the Topical Collection on Lipids L. D. Parnell (*) : J. M. Ordovas Nutritional Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging at Tufts University, 711 Washington Street, Boston, MA 02111, USA e-mail: [email protected] P. Casas-Agustench : J. M. Ordovas Instituto Madrileño de Estudios Avanzados (IMDEA) Alimentación, CEI UAM + CSIC, C/ Faraday, 7, 1ª planta D1.11, Ciudad Universitaria de Cantoblanco, Ctra. de Colmenar Km.15, Madrid 28049, Spain L. K. Iyer Tufts Center for Neuroscience Research, Tufts University School of Medicine, 136 Harrison Ave, Boston, MA 02111, USA L. K. Iyer Molecular Cardiology Research Institute, Tufts Medical Center, 15 Kneeland Street, Boston, MA 02111, USA
Introduction Risk factors for CVD include many different genetic variants, small molecules, lipid particles and proteins, but also more encompassing terms such as foam cell activation, family history, habitual diet, and gut microbiome composition. Cholesterol particles found in serum have long been measured and their levels considered as indicators of CVD risk. In this regard though, circulating high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol particles (LDL-C) are not homogeneous, but rather consist of several interacting entities, including proteins, various classes of lipids and microRNAs. Each of these entities performs specific functions within the lipoprotein particle or when that particle is delivered to a cell. These functions, centered primarily on the transport of lipid moieties to peripheral tissues and in reverse to the liver, and their roles in CVD risk are well characterized. However, those functions should be considered within the context of all entities present and their interactions among themselves. Thus, the HDL-C particle, for example, can be thought of as a collection of interacting entities that together perform certain functions. Just as these well kn
Data Loading...
