Combining mathematical modelling with in-vitro experiments to predict in-vivo drug-eluting stent kinetics

Sean McGinty; Christopher McCormick; Craig Martin McKittrick; Simon Kennedy; Keith G. Oldroyd; Marcus Wheel; Bryan  Scullion; Giuseppe Pontrelli; Sean McKee; P. Nithiarasu; A.M.  Robertson

Combining mathematical modelling with in-vitro experiments to predict in-vivo drug-eluting stent kinetics

Sean McGinty, Christopher McCormick, Craig Martin McKittrick, Simon Kennedy, Keith G. Oldroyd, Marcus Wheel, Bryan Scullion, Giuseppe Pontrelli, Sean McKee, P. Nithiarasu (Editor), A.M. Robertson (Editor)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

24 Downloads (Pure)

Abstract

In this paper we describe a combined in-vitro experimental and mathematical modelling approach to predict in-vivo drug-eluting stent kinetics. We coated stents with a mixture of sirolimus and a novel acrylic-based polymer in two different ratios. Our results indicate differential release kinetics between low and high drug dose formulations. Furthermore, mathematical model simulations of target receptor saturation suggest potential differences in efficacy.

Original language	English
Title of host publication	5th International Conference on Computational and Mathematical Biomedical Engineering (CMBE2017)
Place of Publication	Swansea UK
Pages	1011-1014
Number of pages	4
Publication status	Published - 10 Apr 2017
Event	5th International Conference on Computational and Mathematical Biomedical Engineering - Pittsburgh, Pittsburgh, United States Duration: 10 Apr 2017 → 12 Apr 2017

Conference

Conference	5th International Conference on Computational and Mathematical Biomedical Engineering
Abbreviated title	CMBE 2017
Country/Territory	United States
City	Pittsburgh
Period	10/04/17 → 12/04/17

Keywords

Drug-eluting stents
drug delivery
coupled partial differential equations
in-vivo experiments

Access to Document

McGinty-CMBE2017-in-vitro-in-vivo-drug-eluting-stent-kineticsFinal published version, 175 KB

Cite this

McGinty, S., McCormick, C., McKittrick, C. M., Kennedy, S., Oldroyd, K. G., Wheel, M., Scullion, B., Pontrelli, G., McKee, S., Nithiarasu, P. (Ed.), & Robertson, A. M. (Ed.) (2017). Combining mathematical modelling with in-vitro experiments to predict in-vivo drug-eluting stent kinetics. In 5th International Conference on Computational and Mathematical Biomedical Engineering (CMBE2017) (pp. 1011-1014).

McGinty, Sean ; McCormick, Christopher ; McKittrick, Craig Martin ; Kennedy, Simon ; Oldroyd, Keith G. ; Wheel, Marcus ; Scullion, Bryan ; Pontrelli, Giuseppe ; McKee, Sean ; Nithiarasu, P. (Editor) ; Robertson, A.M. (Editor). / Combining mathematical modelling with in-vitro experiments to predict in-vivo drug-eluting stent kinetics. 5th International Conference on Computational and Mathematical Biomedical Engineering (CMBE2017). Swansea UK, 2017. pp. 1011-1014

@inproceedings{9052c908f9a84ba9a2748dca75f0506f,

title = "Combining mathematical modelling with in-vitro experiments to predict in-vivo drug-eluting stent kinetics",

abstract = "In this paper we describe a combined in-vitro experimental and mathematical modelling approach to predict in-vivo drug-eluting stent kinetics. We coated stents with a mixture of sirolimus and a novel acrylic-based polymer in two different ratios. Our results indicate differential release kinetics between low and high drug dose formulations. Furthermore, mathematical model simulations of target receptor saturation suggest potential differences in efficacy.",

keywords = "Drug-eluting stents, drug delivery, coupled partial differential equations, in-vivo experiments",

author = "Sean McGinty and Christopher McCormick and McKittrick, {Craig Martin} and Simon Kennedy and Oldroyd, {Keith G.} and Marcus Wheel and Bryan Scullion and Giuseppe Pontrelli and Sean McKee and P. Nithiarasu and A.M. Robertson",

year = "2017",

month = apr,

day = "10",

language = "English",

isbn = "9780956291448",

pages = "1011--1014",

booktitle = "5th International Conference on Computational and Mathematical Biomedical Engineering (CMBE2017)",

note = "5th International Conference on Computational and Mathematical Biomedical Engineering, CMBE 2017 ; Conference date: 10-04-2017 Through 12-04-2017",

}

McGinty, S, McCormick, C, McKittrick, CM, Kennedy, S, Oldroyd, KG, Wheel, M, Scullion, B, Pontrelli, G, McKee, S, Nithiarasu, P (ed.) & Robertson, AM (ed.) 2017, Combining mathematical modelling with in-vitro experiments to predict in-vivo drug-eluting stent kinetics. in 5th International Conference on Computational and Mathematical Biomedical Engineering (CMBE2017). Swansea UK, pp. 1011-1014, 5th International Conference on Computational and Mathematical Biomedical Engineering, Pittsburgh, United States, 10/04/17.

Combining mathematical modelling with in-vitro experiments to predict in-vivo drug-eluting stent kinetics. / McGinty, Sean; McCormick, Christopher; McKittrick, Craig Martin; Kennedy, Simon; Oldroyd, Keith G.; Wheel, Marcus; Scullion, Bryan ; Pontrelli, Giuseppe; McKee, Sean; Nithiarasu, P. (Editor); Robertson, A.M. (Editor).

5th International Conference on Computational and Mathematical Biomedical Engineering (CMBE2017). Swansea UK, 2017. p. 1011-1014.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Combining mathematical modelling with in-vitro experiments to predict in-vivo drug-eluting stent kinetics

AU - McGinty, Sean

AU - McCormick, Christopher

AU - McKittrick, Craig Martin

AU - Kennedy, Simon

AU - Oldroyd, Keith G.

AU - Wheel, Marcus

AU - Scullion, Bryan

AU - Pontrelli, Giuseppe

AU - McKee, Sean

A2 - Nithiarasu, P.

A2 - Robertson, A.M.

PY - 2017/4/10

Y1 - 2017/4/10

N2 - In this paper we describe a combined in-vitro experimental and mathematical modelling approach to predict in-vivo drug-eluting stent kinetics. We coated stents with a mixture of sirolimus and a novel acrylic-based polymer in two different ratios. Our results indicate differential release kinetics between low and high drug dose formulations. Furthermore, mathematical model simulations of target receptor saturation suggest potential differences in efficacy.

AB - In this paper we describe a combined in-vitro experimental and mathematical modelling approach to predict in-vivo drug-eluting stent kinetics. We coated stents with a mixture of sirolimus and a novel acrylic-based polymer in two different ratios. Our results indicate differential release kinetics between low and high drug dose formulations. Furthermore, mathematical model simulations of target receptor saturation suggest potential differences in efficacy.

KW - Drug-eluting stents

KW - drug delivery

KW - coupled partial differential equations

KW - in-vivo experiments

UR - http://www.compbiomed.net/2017/cmbe-proceedings.htm

M3 - Conference contribution book

SN - 9780956291448

SP - 1011

EP - 1014

BT - 5th International Conference on Computational and Mathematical Biomedical Engineering (CMBE2017)

CY - Swansea UK

T2 - 5th International Conference on Computational and Mathematical Biomedical Engineering

Y2 - 10 April 2017 through 12 April 2017

ER -

Combining mathematical modelling with in-vitro experiments to predict in-vivo drug-eluting stent kinetics

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Optimal design of drug-eluting stents

Data for: "Combining mathematical modelling with in vitro experiments to predict in vivo drug-eluting stent performance"

Cite this

Combining mathematical modelling with in-vitro experiments to predict in-vivo drug-eluting stent kinetics

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Optimal design of drug-eluting stents

Datasets

Data for: "Combining mathematical modelling with in vitro experiments to predict in vivo drug-eluting stent performance"

Cite this