Pro-Inflammatory Cytokines and Soluble Cellular Adhesion Molecules as Activating Triggers for Nanorobots - PowerPoint PPT Presentation

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Pro-Inflammatory Cytokines and Soluble Cellular Adhesion Molecules as Activating Triggers for Nanorobots

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Title: Pro-Inflammatory Cytokines and Soluble Cellular Adhesion Molecules as Activating Triggers for Nanorobots


1
Pro-Inflammatory Cytokines and Soluble Cellular
Adhesion Molecules as Activating Triggers for
Nanorobots Lior Rosen1, Adriano Cavalcanti2,
Moshe Rosenfeld1 and Shmuel Einav1 1Faculty of
Engineering, Tel-Aviv University, Tel-Aviv,
Israel 2Electrical and Computer Eng. School,
Unicamp, Campinas, Brazil.
INTRODUCTION
RESULTS
4
  • Ongoing developments in molecular fabrication,
    computation, sensors and motors will enable the
    manufacturing of nanorobots nanoscale
    biomolecular machine systems.
  • An elevated transcardiac gradient of soluble
    adhesion molecules (such as sVCAM-1) and
    pro-inflammatory cytokines (such as IL-6) may
    reflect the endothelial dysfunction of a coronary
    artery, and may be a predictive index of coronary
    atherosclerosis progression.
  • It is well documented that a significant
    temperature heterogeneity exists over plaque
    surfaces, as inflamed plaques are hotter.

sVCAM-1 Levels and Blood Temperature Distributions
Rupture-prone site at distal edge
Rupture-prone site at proximal edge
sVCAM-1 Mass Fraction
sVCAM-1 Mass Fraction
  • OBJECTIVES
  • Constituting a novel simulation approach,
    intended to be a platform for the design and
    research of nanorobots control.
  • Establishing the triggering and control strategy
    for nanorobots in the coronary arteries, using
    clinical data regarding the distribution of IL-6,
    sVCAM-1, and
  • the wall temperature in patients with acute
    coronary
  • artery disease.
  • Defining a range of nanorobot activation trigger
    values, which would fit to various clinical cases.

Temperature (C0)
Temperature (C0)
Trigger Activation
Approaches for trigger activation include
analyzing time-gradients of temperature and
molecules concentration, as they change during
nanorobot locomotion. The trigger has been
defined as a function of concentration and
temperature time-gradients, utilizing their
correlation around the lesion. Activation occurs
when a predefined threshold is exceeded.
  •  MODEL ASSUMPTIONS
  • 2-D Axisymmetric models of stenosed LAD coronary
    arteries with varying diameter stenosis (20,
    50, 90) are being investigated.
  • The inlet flow profile in the LAD coronary artery
    serves as an inlet boundary condition.
  • Nanorobots are assumed to be equipped with
    chemical sensors, able to detect time-gradients
    in concentrations of specific molecules, and
    time-gradients of temperature. When a predefined
    threshold is exceeded, the nanorobot is
    activated.
  • Nanorobots flow mainly in a near wall region
    (The nanorobot freeway).
  • IL-6 and sVCAM-1 are being shed from
    rupture-prone sites of the vulnerable plaque.
  • Various wall temperature profiles are simulated,
    according to lesion macrophage and inflammatory
    cells density.

Rupture-prone site at distal edge
Rupture-prone site at proximal edge
SUMMARY
  • The present work, of combining a precise physical
    simulation to establish the environment in which
    nanorobots would inhabit, with nanorobot control
    design simulator capable of modeling behavior,
    has been shown to be of an extreme potential for
    exploration of techniques, strategies, and
    nanorobot mobility considerations.
  • An activating trigger based on both molecule
    concentrations and temperature time-gradients has
    been defined. This trigger may be implemented by
    foreseeable technology.
  • This triggering approach can minimize the energy
    required for a nanorobot to reach the
    inflammation source, activating it close to the
    target.
  • A delimited range of activation trigger values
    was defined and shown to fit different cases of
    rupture-prone sites of vulnerable plaques.
  • The results can assist in future design of
    nanorobot sensors.
  • Future work would include analysis of the
    nanorobots locomotion to the lesion after
    trigger activation, and also
  • additional optimization and statistical
    framework.


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