• DocumentCode
    2791348
  • Title

    A graph theoretic mathematical model for Alzheimer´s disease: Using a systems biology approach

  • Author

    Kyrtsos, C.R. ; Baras, John S.

  • Author_Institution
    Inst. for Syst. Res., Univ. of Maryland, College Park, MD, USA
  • fYear
    2012
  • fDate
    11-13 Nov. 2012
  • Firstpage
    472
  • Lastpage
    477
  • Abstract
    Alzheimer´s disease (AD) is currently the most common form of dementia affecting the elderly, and its occurrence rate is only expected to increase over the next several decades. Though there is a vast array of knowledge about individual molecules and genetics involved with the disease, there is no clear understanding of the mechanism of pathogenesis. To help better understand the disease process, a graph theoretic model was developed that studies both the concentration of molecules thought to be involved in pathogenesis (Aβ, interleukin-1, tumor necrosis factor alpha, cholesterol, ATP levels), as well as the cell number in a small location in the brain. Particular emphasis was put on the role of the inflammatory process in AD progression. This represents one of the first models that uses graph theory combined with a systems biology approach to study AD.
  • Keywords
    assisted living; cellular biophysics; diseases; genetics; graph theory; medical disorders; molecular biophysics; tumours; Aβ; AD; ATP levels; Alzheimer´s disease; brain; cell number; cholesterol; dementia; elderly people; genetics; graph theoretic mathematical Model; inflammatory process; interleukin-1; molecule concentration; pathogenesis mechanism; systems biology approach; tumor necrosis factor alpha; Biological system modeling; Diseases; Lipidomics; Mathematical model; Neurons; Proteins; Alzheimer´s disease; graph theory; inflammation; math model; systems biology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics & Bioengineering (BIBE), 2012 IEEE 12th International Conference on
  • Conference_Location
    Larnaca
  • Print_ISBN
    978-1-4673-4357-2
  • Type

    conf

  • DOI
    10.1109/BIBE.2012.6399723
  • Filename
    6399723