Synthetic microfluidic microvasculature network
A synthetic microfluidic microvasculature network and associated methods mimic the structure, fluid flow characteristics, and physiological behavior of physiological microvasculature networks. Computational methods for simulating flow and particle adherence in synthetic and physiological microvascular systems and methods for determining parameters influencing particle adhesion and drug delivery are described with applications in the optimization of drug delivery and microvascular treatments and in describing disease mechanisms that affect the microvasculature.
1. A method for determining a parameter that influences particle adhesion in a microvascular network comprising the steps of:
a) providing a synthetic microvascular network comprising a plurality of non-linear interconnected flow channels that form geometrical features and have fluid flow properties found in physiological microvascular networks;
b) introducing a sample comprising a liquid suspension of particles into an inlet of the synthetic microvascular network;
c) causing the sample to flow through the synthetic microvascular network;
d) identifying the locations, numbers, and/or distribution of particles that deposit in the synthetic microvascular network; and
e) correlating the locations, numbers, and/or distribution of particles identified in step d) with the parameter that influences particle adhesion in the microvascular network
wherein said plurality of non-linear, interconnected flow channels possess a geometric characteristic selected from the group consisting of a variable cross-sectional shape, a variable cross-sectional area, a turn, a bend, a bifurcation, a junction, a convolution, an anastamosis, and combinations thereof.
2. The method of claim 1 , wherein the microvascular network is a physiological microvascular network and the synthetic microvascular network has a geometry that corresponds to at least a portion of the physiological microvascular network.
3. The method of claim 1 , wherein the particle is selected from the group consisting of a cell, a liposome, a microencapsulated drug, a lipoprotein, a nanoparticle, a microparticle, a polymers and a biomolecule.
4. The method of claim 1 , wherein the synthetic microvascular network comprises cells on luminal surfaces of flow channels within the network.
5. The method of claim 1 , wherein the synthetic microvascular network is an averaged microvascular network.
6. The method of claim 1 , wherein the flow channels comprising the synthetic microvascular network have a cross-section of rectangular, semi-circular or circular geometry.
7. The method of claim 1 , wherein the flow channels comprising the synthetic microvascular network have cross-sections of from 2 μm to 100 μm.
8. A method for determining a parameter that influences the delivery of a drug to a microvascular network comprising:
a) selecting at least one physical, chemical, and/or biological property of the drug or a substrate to which the drug may be attached;
b) providing a synthetic microvascular network comprising a plurality of interconnected, non-linear flow channels that form geometrical features and have fluid flow properties found in physiological microvascular networks;
c) introducing a sample comprising a liquid suspension of drug or substrate to which the drug may be attached into an inlet of the synthetic microvascular network;
d) causing the suspension to flow through the synthetic microvascular network;
e) identifying the locations, numbers, and/or distribution of drug or substrate to which the drug may be attached that deposit in the synthetic microvascular network; and
f) correlating the locations, numbers, and/or distribution of drug that deposit in the synthetic microvascular network with the at least one physical, chemical, and/or biological property of the drug or substrate to which the drug may be attached
wherein said plurality of non-linear, interconnected flow channels possess a geometric characteristic selected from the group consisting of a variable cross-sectional shape, a variable cross-sectional area, a turn, a bend, a bifurcation, a junction, a convolution, an anastamosis, and combinations thereof.
9. The method of claim 8 , wherein the microvascular network is a physiological microvascular network and the synthetic microvascular network has a geometry that corresponds to at least a portion of the physiological microvascular network.
10. The method of claim 8 , wherein the drug is in the form of a particle.
11. The method of claim 8 , wherein the substrate to which the drug may be attached is a liposome, a lipoprotein, a polymer carrier particle, a carrier molecule, or a targeting molecule.
12. The method of claim 8 , further comprising the steps of:
g) altering the at least one selected physical, chemical, and/or biological property of the drug or substrate to which the drug may be attached and
h) repeating steps c) through f).