Dr Sean Mcginty

  • Senior Lecturer (Biomedical Engineering)

Research interests

Summary of Research Interests

I lead a group focussed on developing mathematical and computational tools to help understand biological processes, disease and treatment, in collaboration with experimental groups. I have expertise in mathematical modelling of biological systems broadly within the application areas of drug discovery and drug delivery. My work is multi-disciplinary and involves collaborating with mathematicians, life scientists, engineers, clinicians and industry.

I am perhaps best known for my modelling of drug eluting-stents, and my group have recently published the first predictive model of in vivo drug-eluting stent performance as well as a model of the restenosis process after stent implantation. Our models have culminated in the development of a novel drug-eluting stent in collaboration with industry and the NHS.

Some other interests include modelling sonoporation using liquid-crystalline shelled microbubbles and theoretical modelling of phase separation in amorphous solid dispersions, using principles from thermodynamics and multi-component diffusion.  I have expertise in modelling flow and mass transport in a number of biological applications, including cardiovascular medical implants, and in the areas of drug delivery and drug discovery, physiological flows and bioreactor cell culture systems. Most recently I have become interested in host-parasite interactions, in collaboration with Prof Simon Croft at the London School of Hygiene and tropical Medicine.

As well as the development of appropriate numerical methods, an important feature of my work is the use of analytical techniques (e.g. non-dimensionalisation, asymptotics and sensitivity analysis) to provide added value and to simplify the models whilst still capturing the important features.

Professional activities

I am a member of both the EPSRC Mathematical Sciences Strategic Advisory team (SAT) and the EPSRC Mathematical Sciences Early Career Forum, and a fellow of the Institute of Mathematics and its Applications (FIMA designation).  I also hold the CMath designation.

I am currently the Director of CMALS (Centre for Mathematics applied to the Life Sciences), a Scottish centre whose mission is to promote interdisciplinary research and scholarship in Mathematical Biology.

I am the director of the European Special Interest Group entitled "Implantable Devices and Drug Delivery Systems," which is supported by the European Consortium for Mathematics in Industry (ECMI).  Additionally, I recently acted as Guest Editor on the Feb 2016 Annals of Biomedical Engineering Special Issue "Medical Stents: State of the Art and Future Directions".

I am on the Editorial Board of Mathematical Biosciences & Engineering and Frontiers in Medical Technology

Research Impact, Knowledge Exchange and Public Engagement

I have a track record of collaborating with companies and clinicians to ensure that my work remains relevant and is driven by need.  In addition, I engage with the general public to inspire the next generation of scientists and to showcase the value of my work.

 

PhD Opportunities

I am very keen to hear from excellent students who wish to study for a PhD with me.  Enquiries are warmly welcomed, although prospective students should investigate potential funding and/or scholarships (if required) before getting in touch.

Publications

List by: Type | Date

Jump to: 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009
Number of items: 56.

2021

Pontrelli, G., Toniolo, G., McGinty, S. , Peri, D., Succi, S. and Chatgilialoglu, C. (2021) Mathematical modelling of drug delivery from pH-responsive nanocontainers. Computers in Biology and Medicine, (Accepted for Publication)

Mayer Sihombing, M. A. E., Safitri, M., Zhou, T., Wang, L., McGinty, S. , Qiu, J. and Wang, G. (2021) Unexpected role of nonimmune cells: amateur phagocytes. DNA and Cell Biology, (doi: 10.1089/dna.2020.5647) (PMID:33439750) (Early Online Publication)

Wang, Y. et al. (2021) Macrophage membrane functionalized biomimetic nanoparticles for targeted anti-atherosclerosis applications. Theranostics, 11(1), pp. 164-180. (doi: 10.7150/thno.47841)

2020

Escuer, J., Aznar, I., McCormick, C., Peña, E., McGinty, S. and Martínez, M. A. (2020) Influence of vessel curvature and plaque composition on drug transport in the arterial wall following drug-eluting stent implantation. Biomechanics and Modeling in Mechanobiology, (Accepted for Publication)

Escuer, J., Cebollero, M., Peña, E., McGinty, S. and Martınez, M. A. (2020) How does stent expansion alter drug transport properties of the arterial wall? Journal of the Mechanical Behavior of Biomedical Materials, 104, 103610. (doi: 10.1016/j.jmbbm.2019.103610)

Hyndman, L., McKee, S., Mottram, N. J., Singh, B., Webb, S. D. and McGinty, S. (2020) Mathematical modelling of fluid flow and solute transport to define operating parameters for in vitro perfusion cell culture systems. Interface Focus, 10(2), 20190045. (doi: 10.1098/rsfs.2019.0045)

McQueen, A., Kennedy, S. , McCormick, C., Aggarwal, A. and McGinty, S. (2020) Mathematical Modelling of the Effect of Drug on Smooth Muscle Cell Proliferation. Scottish Cardiovascular Forum 2020, 23rd Annual Meeting, Glasgow, UK, 1 Feb 2020.

Wang, Y. et al. (2020) Covalent immobilization of biomolecules on stent materials through mussel adhesive protein coating to form biofunctional films. Materials Science and Engineering C: Materials for Biological Applications, 106, 110187. (doi: 10.1016/j.msec.2019.110187)

Yin, Y., Wang, J., Yang, M., Du, R., Pontrelli, G., McGinty, S. , Wang, G., Yin, T. and Wang, Y. (2020) Penetration of the blood-brain barrier and anti-tumor effect of a novel PLGA-lysoGM1/DOX micelles drug delivery system. Nanoscale, 12, pp. 2946-2960. (doi: 10.1039/C9NR08741A) (PMID:31994576)

2019

Liu, R., McGinty, S. , Cui, F., Luo, X. and Liu, Z. (2019) Modelling and simulation of the expansion of a shape memory polymer stent. Engineering Computations, 36(8), pp. 2726-2746. (doi: 10.1108/EC-10-2018-0462)

Escuer, J., Martinez, M. A., McGinty, S. and Pena, E. (2019) Mathematical modelling of the restenosis process after stent implantation. Journal of the Royal Society: Interface, 16(157), 20190313. (doi: 10.1098/rsif.2019.0313) (PMID:31409233)

O’Keeffe, A., Hyndman, L., McGinty, S. , Riezk, A., Murdan, S. and Croft, S. L. (2019) Development of an in vitro media perfusion model of Leishmania major macrophage infection. PLoS ONE, 14(7), e0219985. (doi: 10.1371/journal.pone.0219985)

Escuer, J., Martinez, M. A., Mcginty, S. and Pena, E. (2019) A Computational Mechanobiological Model to Simulate the In-Stent Restenosis Process. 25th Congress of the European Society of Biomechanics (ESB2019), Vienna, Austria, 7-10 July 2019. (Unpublished)

Escuer, J., Mcginty, S. , Pena, E., Martinez, M. A. and Conway, C. (2019) Coupling Solid Mechanics and Drug Transport in 3D for Drug-Eluting Stent Analysis. 25th Congress of the European Society of Biomechanics (ESB2019), Vienna, Austria, 7-10 July 2019. (Unpublished)

Cowley, J. and Mcginty, S. (2019) A mathematical model of sonoporation using a liquid-crystalline shelled microbubble. Ultrasonics, 96, pp. 214-219. (doi: 10.1016/j.ultras.2019.01.004) (PMID:30739724)

Meere, M., Pontrelli, G. and McGinty, S. (2019) Modelling phase separation in amorphous solid dispersions. Acta Biomaterialia, 94, pp. 410-424. (doi: 10.1016/j.actbio.2019.06.009) (PMID:31238110)

McKittrick, C., McKee, S., Kennedy, S. , Oldroyd, K., Wheel, M., Pontrelli, G., Dixon, S., Mcginty, S. and McCormick, C. (2019) Combining mathematical modelling with in vitro experiments to predict in vivo drug-eluting stent performance. Journal of Controlled Release, 303, pp. 151-161. (doi: 10.1016/j.jconrel.2019.03.012) (PMID:30878363)

Vynnycky, M., McKee, S., Meere, M., McCormick, C. and McGinty, S. (2019) Asymptotic analysis of drug dissolution in two layers having widely differing diffusivities. IMA Journal of Applied Mathematics, 84(3), pp. 533-554. (doi: 10.1093/imamat/hxz002)

Wang, Y. et al. (2019) Biomimetic nanotherapies: red blood cell based core-shell structured nanocomplexes for atherosclerosis management. Advanced Science, 6(12), 1900172. (doi: 10.1002/advs.201900172)

Martinez, M. A., Escuer, J., Mcginty, S. and Pena, E. (2019) A Continuum-Approach Model to Numerically Simulate the In-Stent Restenosis Process. First Colloquium of the Spanish Theoretical and Applied Mechanics Society (STAMS2019), Madrid, Spain, 28-29 March 2019. (Unpublished)

Tomlinson, L., Hyndman, L., Firman, J. W., Bentley, R., Kyffin, J. A., Webb, S. D., McGinty, S. and Sharma, P. (2019) In vitro liver zonation of primary rat hepatocytes. Frontiers in Bioengineering and Biotechnology, 7, 17. (doi: 10.3389/fbioe.2019.00017)

2018

Lucena, R.M., Mangiavacchi, N., Pontes, J., Anjos, G. and McGinty, S. (2018) On the transport through polymer layer and porous arterial wall in drug-eluting stents. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 40(12), 572. (doi: 10.1007/s40430-018-1487-8)

Escuer, J., Pena, E., Martinez, M.A. and Mcginty, S. (2018) Elucidating the Importance of Drug Dissolution and Specific-binding in a 2D Model of Arterial Drug-eluting Stents. Virtual Physiological Human Conference (VPH2018), Zaragoza, Spain, 5-7 Sept 2018. (Unpublished)

Escuer, J., Pena, E., Martinez, M.A. and Mcginty, S. (2018) On the Relationship Between Mechanical Deformation and Drug Transport Properties of the Arterial Wall. Modelling and Experiments in Drug Delivery Systems (MEDDS2018), Glasgow, UK, 3-5 Sept 2018. (Unpublished)

Escuer, J., Cebollero, M., Pena, E., Mcginty, S. and Martinez, M. A. (2018) Computational Modelling of the Effect of Mechanical Expansion on Drug Delivery from Endovascular Devices. 8th World Congress of Biomechanics, Dublin, Ireland, 8-12 July 2018. (Unpublished)

Escuer, J., Scullion, B., McCormick, C. and Mcginty, S. (2018) On The Influence of Non-Uniform Binding Site Density in Determining Arterial Drug Distribution Following Stent-Based Delivery. 8th World Congress of Biomechanics, Dublin, Ireland, 8-12 July 2018. (Unpublished)

Du, R. et al. (2018) Design and testing of hydrophobic core/hydrophilic shell nano/micro particles for drug-eluting stent coating. NPG Asia Materials, 10, pp. 642-658. (doi: 10.1038/s41427-018-0064-z)

Vo, T. T.N., Morgan, S., McCormick, C., McGinty, S. , McKee, S. and Meere, M. (2018) Modelling drug release from polymer-free coronary stents with microporous surfaces. International Journal of Pharmaceutics, 544(2), pp. 392-401. (doi: 10.1016/j.ijpharm.2017.12.007) (PMID:29229513)

Escuer, J., Pena, E., Mcginty, S. and Martinez, M. A. (2018) Computational Analysis of the Influence of Dissolution-Diffusion and Specific Binding on Drug Transport in the Arterial Wall following Stent-based Delivery. VII Jornada de Jóvenes Investigadores del (I3A), Zaragoza, Spain, 8 June 2018. (Unpublished)

McQueen, A., Parente, J. D., Mcginty, S. and Moeller, K. (2018) Parameter search to find ranges of activation and inhibition of wound healing rate in a mathematical model with introduced photobiomodulation. In: Lhotska, L., Sukupova, L., Lacković, I. and Ibbott, G. S. (eds.) World Congress on Medical Physics and Biomedical Engineering 2018. Series: IFMBE Proceedings (68/1). Springer: Singapore, pp. 819-822. ISBN 9789811090349 (doi:10.1007/978-981-10-9035-6_151)

2017

Meere, M., Mcginty, S. and Pontrelli, G. (2017) Mathematically Modelling the Dissolution of Solid Dispersions. In: Equadiff 2017 Conference, Bratislava, Slovakia, 24-28 Jul 2017, pp. 341-348. ISBN 9788022747578

McGinty, S. , King, D. and Pontrelli, G. (2017) Mathematical modelling of variable porosity coatings for controlled drug release. Medical Engineering and Physics, 45, pp. 51-60. (doi: 10.1016/j.medengphy.2017.04.006) (PMID:28461200)

McGinty, S. , Hyndman, L., Mottram, N. , McKee, S. and Webb, S. (2017) In-silico Characterisation of the Kirkstall QV900 In-Vitro System for Advanced Cell Culture. In: 5 th International Conference on Computational and Mathematical Biomedical Engineering (CMBE2017), Pittsburgh, PA, USA, 10-12 April 2017, pp. 1174-1177. ISBN 9780956291448

McGinty, S. , McCormick, C., McKittrick, C., Kennedy, S. , Oldroyd, K., Wheel, M., Scullion, B., Pontrelli, G. and McKee, S. (2017) Combining Mathematical Modelling with In-Vitro Experiments to Predict In-Vivo Drug-Eluting Stent Kinetics. In: 5 th International Conference on Computational and Mathematical Biomedical Engineering (CMBE2017), Pittsburgh, PA, USA, 10-12 April 2017, pp. 1011-1014. ISBN 9780956291448

McGinty, S. and Pontrelli, G. (2017) Mathematical Modelling of Variable Porosity Coatings for Dual Drug Delivery. In: 5 th International Conference on Computational and Mathematical Biomedical Engineering (CMBE2017), Pittsburgh, PA, USA, 10-12 April 2017, pp. 184-187. ISBN 9780956291448

2016

King, D. and McGinty, S. (2016) Assessing the potential of mathematical modelling in designing drug-releasing orthopaedic implants. Journal of Controlled Release, 239, pp. 49-61. (doi: 10.1016/j.jconrel.2016.08.009)

Mcginty, S. and Pontrelli, G. (2016) On the role of specific drug binding in modelling arterial eluting stents. Journal of Mathematical Chemistry, 54(4), pp. 967-976. (doi: 10.1007/s10910-016-0618-7)

McHugh, P., Barakat, A. and Mcginty, S. (2016) Medical Stents: State of the Art and Future Directions [Guest Editors]. Annals of Biomedical Engineering, 44(2), pp. 274-275. (doi: 10.1007/s10439-015-1526-x) (PMID:26678496)

McKittrick, C.M., Kennedy, S. , Oldroyd, K.G., Mcginty, S. and McCormick, C. (2016) Modelling the impact of atherosclerosis on drug release and distribution from coronary stents. Annals of Biomedical Engineering, 44(2), pp. 477-487. (doi: 10.1007/s10439-015-1456-7) (PMID:26384667) (PMCID:PMC4764635)

Sengers, B. G., McGinty, S. , Nouri, F. Z., Argungu, M., Hawkins, E., Hadji, A., Weber, A., Taylor, A. and Sepp, A. (2016) Modelling bispecific monoclonal antibody interaction with two cell membrane targets indicates the importance of surface diffusion. mAbs, 8(5), pp. 905-916. (doi: 10.1080/19420862.2016.1178437) (PMID:27097222) (PMCID:PMC4968105)

2015

Mcginty, S. and Pontrelli, G. (2015) A general model of coupled drug release and tissue absorption for drug delivery devices. Journal of Controlled Release, 217, pp. 327-336. (doi: 10.1016/j.jconrel.2015.09.025) (PMID:26390809)

Mcginty, S. , Wheel, M., McKee, S. and McCormick, C. (2015) Does anisotropy promote spatial uniformity of stent-delivered drug distribution in arterial tissue? International Journal of Heat and Mass Transfer, 90, pp. 266-279. (doi: 10.1016/j.ijheatmasstransfer.2015.06.061)

Mcginty, S. , McKee, S., McCormick, C. and Wheel, M. (2015) Release mechanism and parameter estimation in drug-eluting stent systems: analytical solutions of drug release and tissue transport. Mathematical Medicine and Biology, 32(2), pp. 163-186. (doi: 10.1093/imammb/dqt025) (PMID:24463960) (PMCID:PMC4463185)

Mcginty, S. , Vo, T. T.N., Meere, M., McKee, S. and McCormick, C. (2015) Some design considerations for polymer-free drug-eluting stents: a mathematical approach. Acta Biomaterialia, 18, pp. 213-225. (doi: 10.1016/j.actbio.2015.02.006)

Mcginty, S. and Pontrelli, G. (2015) On the influence of solid–liquid mass transfer in the modelling of drug release from stents. Journal of Coupled Systems and Multiscale Dynamics, 3(1), pp. 47-56. (doi: 10.1166/jcsmd.2015.1064)

McGinty, S. and McKee, S. (2015) Blade shape of a Troposkein type of vertical axis wind turbine. Mathematical Spectrum, 47(2), pp. 51-60.

McGinty, S. and Pontrelli, G. (2015) A 1D Mechanistic Model Can Predict Duration of In-Vivo Drug Release from Drug-Eluting Stents. In: 4th International Conference on Computational & Mathematical Biomedical Engineering, Paris, France, 29 June - 1 July 2015, pp. 658-661. ISBN 9780956291431

McGinty, S. , Wheel, M., McKee, S., McCormick, C., McKittrick, C., Kennedy, S. and Oldroyd, K. (2015) Can Anisotropy Enhance the Spatial Uniformity of Drug Distribution in Biological Tissue? In: 4th International Conference on Computational & Mathematical Biomedical Engineering, Paris, France, 29 June - 1 July 2015, pp. 194-197. ISBN 9780956291431

McKee, S. and Mcginty, S. (2015) Stents, blood flow and pregnancy: mathematical modelling in the raw. In: Bissell, J. J., Caiado, C. C. S., Curtis, S., Goldstein, M. and Straughan, B. (eds.) Tipping Points: Modelling Social Problems and Health Tipping Points: Modelling Social Problems and Health. Series: Wiley series in computational and quantitative social science. John Wiley & Sons Ltd., pp. 95-112. ISBN 9781118752753 (doi:10.1002/9781118992005.ch6)

2014

Mcginty, S. (2014) A decade of modelling drug release from arterial stents. Mathematical Biosciences, 257, pp. 80-90. (doi: 10.1016/j.mbs.2014.06.016)

Pontrelli, G. and McGinty, S. (2014) Drug Delivery in Biological Tissues: A Two-Layer Reaction-Diffusion-Convection Model. In: 18th European Conference on Mathematics for Industry 2014, Taormina, Italy, 9-13 June 2014,

2013

McGinty, S. , McCormick, C., McKee, S., Wheel, M., Kennedy, S. and Oldroyd, K. G. (2013) Simulating Drug-Eluting Stents: Progress Made and the Way Forward. In: Special Session on Modelling and Simulation in Biology and Medicine (BIOMED 2013), Reykajvik, Iceland, 29-31 July 2013, pp. 664-671.

Mcginty, S. , McKee, S., Wadsworth, R. M. and McCormick, C. (2013) Modeling arterial wall drug concentrations following the insertion of a drug-eluting stent. SIAM Journal on Applied Mathematics, 73(6), pp. 2004-2028. (doi: 10.1137/12089065X)

2011

McGinty, S. and Mckee, S. (2011) A comment on pulsatile pipe flow. Applied Mathematical and Computational Sciences, 3(2), pp. 217-225.

McGinty, S. , McKee, S., Wadsworth, R. M. and McCormick, C. (2011) Modelling drug-eluting stents. Mathematical Medicine and Biology, 28(1), pp. 1-29. (doi: 10.1093/imammb/dqq003)

2009

McGinty, S. , McKee, S. and McDermott, R. (2009) Analytic solutions of Newtonian and non-Newtonian pipe flows subject to a general time-dependent pressure gradient. Journal of Non-Newtonian Fluid Mechanics, 162(1-3), pp. 54-77. (doi: 10.1016/j.jnnfm.2009.05.007)

This list was generated on Mon Jan 25 00:23:15 2021 GMT.
Jump to: Articles | Book Sections | Conference or Workshop Item | Conference Proceedings
Number of items: 56.

Articles

Pontrelli, G., Toniolo, G., McGinty, S. , Peri, D., Succi, S. and Chatgilialoglu, C. (2021) Mathematical modelling of drug delivery from pH-responsive nanocontainers. Computers in Biology and Medicine, (Accepted for Publication)

Mayer Sihombing, M. A. E., Safitri, M., Zhou, T., Wang, L., McGinty, S. , Qiu, J. and Wang, G. (2021) Unexpected role of nonimmune cells: amateur phagocytes. DNA and Cell Biology, (doi: 10.1089/dna.2020.5647) (PMID:33439750) (Early Online Publication)

Wang, Y. et al. (2021) Macrophage membrane functionalized biomimetic nanoparticles for targeted anti-atherosclerosis applications. Theranostics, 11(1), pp. 164-180. (doi: 10.7150/thno.47841)

Escuer, J., Aznar, I., McCormick, C., Peña, E., McGinty, S. and Martínez, M. A. (2020) Influence of vessel curvature and plaque composition on drug transport in the arterial wall following drug-eluting stent implantation. Biomechanics and Modeling in Mechanobiology, (Accepted for Publication)

Escuer, J., Cebollero, M., Peña, E., McGinty, S. and Martınez, M. A. (2020) How does stent expansion alter drug transport properties of the arterial wall? Journal of the Mechanical Behavior of Biomedical Materials, 104, 103610. (doi: 10.1016/j.jmbbm.2019.103610)

Hyndman, L., McKee, S., Mottram, N. J., Singh, B., Webb, S. D. and McGinty, S. (2020) Mathematical modelling of fluid flow and solute transport to define operating parameters for in vitro perfusion cell culture systems. Interface Focus, 10(2), 20190045. (doi: 10.1098/rsfs.2019.0045)

Wang, Y. et al. (2020) Covalent immobilization of biomolecules on stent materials through mussel adhesive protein coating to form biofunctional films. Materials Science and Engineering C: Materials for Biological Applications, 106, 110187. (doi: 10.1016/j.msec.2019.110187)

Yin, Y., Wang, J., Yang, M., Du, R., Pontrelli, G., McGinty, S. , Wang, G., Yin, T. and Wang, Y. (2020) Penetration of the blood-brain barrier and anti-tumor effect of a novel PLGA-lysoGM1/DOX micelles drug delivery system. Nanoscale, 12, pp. 2946-2960. (doi: 10.1039/C9NR08741A) (PMID:31994576)

Liu, R., McGinty, S. , Cui, F., Luo, X. and Liu, Z. (2019) Modelling and simulation of the expansion of a shape memory polymer stent. Engineering Computations, 36(8), pp. 2726-2746. (doi: 10.1108/EC-10-2018-0462)

Escuer, J., Martinez, M. A., McGinty, S. and Pena, E. (2019) Mathematical modelling of the restenosis process after stent implantation. Journal of the Royal Society: Interface, 16(157), 20190313. (doi: 10.1098/rsif.2019.0313) (PMID:31409233)

O’Keeffe, A., Hyndman, L., McGinty, S. , Riezk, A., Murdan, S. and Croft, S. L. (2019) Development of an in vitro media perfusion model of Leishmania major macrophage infection. PLoS ONE, 14(7), e0219985. (doi: 10.1371/journal.pone.0219985)

Cowley, J. and Mcginty, S. (2019) A mathematical model of sonoporation using a liquid-crystalline shelled microbubble. Ultrasonics, 96, pp. 214-219. (doi: 10.1016/j.ultras.2019.01.004) (PMID:30739724)

Meere, M., Pontrelli, G. and McGinty, S. (2019) Modelling phase separation in amorphous solid dispersions. Acta Biomaterialia, 94, pp. 410-424. (doi: 10.1016/j.actbio.2019.06.009) (PMID:31238110)

McKittrick, C., McKee, S., Kennedy, S. , Oldroyd, K., Wheel, M., Pontrelli, G., Dixon, S., Mcginty, S. and McCormick, C. (2019) Combining mathematical modelling with in vitro experiments to predict in vivo drug-eluting stent performance. Journal of Controlled Release, 303, pp. 151-161. (doi: 10.1016/j.jconrel.2019.03.012) (PMID:30878363)

Vynnycky, M., McKee, S., Meere, M., McCormick, C. and McGinty, S. (2019) Asymptotic analysis of drug dissolution in two layers having widely differing diffusivities. IMA Journal of Applied Mathematics, 84(3), pp. 533-554. (doi: 10.1093/imamat/hxz002)

Wang, Y. et al. (2019) Biomimetic nanotherapies: red blood cell based core-shell structured nanocomplexes for atherosclerosis management. Advanced Science, 6(12), 1900172. (doi: 10.1002/advs.201900172)

Tomlinson, L., Hyndman, L., Firman, J. W., Bentley, R., Kyffin, J. A., Webb, S. D., McGinty, S. and Sharma, P. (2019) In vitro liver zonation of primary rat hepatocytes. Frontiers in Bioengineering and Biotechnology, 7, 17. (doi: 10.3389/fbioe.2019.00017)

Lucena, R.M., Mangiavacchi, N., Pontes, J., Anjos, G. and McGinty, S. (2018) On the transport through polymer layer and porous arterial wall in drug-eluting stents. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 40(12), 572. (doi: 10.1007/s40430-018-1487-8)

Du, R. et al. (2018) Design and testing of hydrophobic core/hydrophilic shell nano/micro particles for drug-eluting stent coating. NPG Asia Materials, 10, pp. 642-658. (doi: 10.1038/s41427-018-0064-z)

Vo, T. T.N., Morgan, S., McCormick, C., McGinty, S. , McKee, S. and Meere, M. (2018) Modelling drug release from polymer-free coronary stents with microporous surfaces. International Journal of Pharmaceutics, 544(2), pp. 392-401. (doi: 10.1016/j.ijpharm.2017.12.007) (PMID:29229513)

McGinty, S. , King, D. and Pontrelli, G. (2017) Mathematical modelling of variable porosity coatings for controlled drug release. Medical Engineering and Physics, 45, pp. 51-60. (doi: 10.1016/j.medengphy.2017.04.006) (PMID:28461200)

King, D. and McGinty, S. (2016) Assessing the potential of mathematical modelling in designing drug-releasing orthopaedic implants. Journal of Controlled Release, 239, pp. 49-61. (doi: 10.1016/j.jconrel.2016.08.009)

Mcginty, S. and Pontrelli, G. (2016) On the role of specific drug binding in modelling arterial eluting stents. Journal of Mathematical Chemistry, 54(4), pp. 967-976. (doi: 10.1007/s10910-016-0618-7)

McHugh, P., Barakat, A. and Mcginty, S. (2016) Medical Stents: State of the Art and Future Directions [Guest Editors]. Annals of Biomedical Engineering, 44(2), pp. 274-275. (doi: 10.1007/s10439-015-1526-x) (PMID:26678496)

McKittrick, C.M., Kennedy, S. , Oldroyd, K.G., Mcginty, S. and McCormick, C. (2016) Modelling the impact of atherosclerosis on drug release and distribution from coronary stents. Annals of Biomedical Engineering, 44(2), pp. 477-487. (doi: 10.1007/s10439-015-1456-7) (PMID:26384667) (PMCID:PMC4764635)

Sengers, B. G., McGinty, S. , Nouri, F. Z., Argungu, M., Hawkins, E., Hadji, A., Weber, A., Taylor, A. and Sepp, A. (2016) Modelling bispecific monoclonal antibody interaction with two cell membrane targets indicates the importance of surface diffusion. mAbs, 8(5), pp. 905-916. (doi: 10.1080/19420862.2016.1178437) (PMID:27097222) (PMCID:PMC4968105)

Mcginty, S. and Pontrelli, G. (2015) A general model of coupled drug release and tissue absorption for drug delivery devices. Journal of Controlled Release, 217, pp. 327-336. (doi: 10.1016/j.jconrel.2015.09.025) (PMID:26390809)

Mcginty, S. , Wheel, M., McKee, S. and McCormick, C. (2015) Does anisotropy promote spatial uniformity of stent-delivered drug distribution in arterial tissue? International Journal of Heat and Mass Transfer, 90, pp. 266-279. (doi: 10.1016/j.ijheatmasstransfer.2015.06.061)

Mcginty, S. , McKee, S., McCormick, C. and Wheel, M. (2015) Release mechanism and parameter estimation in drug-eluting stent systems: analytical solutions of drug release and tissue transport. Mathematical Medicine and Biology, 32(2), pp. 163-186. (doi: 10.1093/imammb/dqt025) (PMID:24463960) (PMCID:PMC4463185)

Mcginty, S. , Vo, T. T.N., Meere, M., McKee, S. and McCormick, C. (2015) Some design considerations for polymer-free drug-eluting stents: a mathematical approach. Acta Biomaterialia, 18, pp. 213-225. (doi: 10.1016/j.actbio.2015.02.006)

Mcginty, S. and Pontrelli, G. (2015) On the influence of solid–liquid mass transfer in the modelling of drug release from stents. Journal of Coupled Systems and Multiscale Dynamics, 3(1), pp. 47-56. (doi: 10.1166/jcsmd.2015.1064)

McGinty, S. and McKee, S. (2015) Blade shape of a Troposkein type of vertical axis wind turbine. Mathematical Spectrum, 47(2), pp. 51-60.

Mcginty, S. (2014) A decade of modelling drug release from arterial stents. Mathematical Biosciences, 257, pp. 80-90. (doi: 10.1016/j.mbs.2014.06.016)

Mcginty, S. , McKee, S., Wadsworth, R. M. and McCormick, C. (2013) Modeling arterial wall drug concentrations following the insertion of a drug-eluting stent. SIAM Journal on Applied Mathematics, 73(6), pp. 2004-2028. (doi: 10.1137/12089065X)

McGinty, S. and Mckee, S. (2011) A comment on pulsatile pipe flow. Applied Mathematical and Computational Sciences, 3(2), pp. 217-225.

McGinty, S. , McKee, S., Wadsworth, R. M. and McCormick, C. (2011) Modelling drug-eluting stents. Mathematical Medicine and Biology, 28(1), pp. 1-29. (doi: 10.1093/imammb/dqq003)

McGinty, S. , McKee, S. and McDermott, R. (2009) Analytic solutions of Newtonian and non-Newtonian pipe flows subject to a general time-dependent pressure gradient. Journal of Non-Newtonian Fluid Mechanics, 162(1-3), pp. 54-77. (doi: 10.1016/j.jnnfm.2009.05.007)

Book Sections

McQueen, A., Parente, J. D., Mcginty, S. and Moeller, K. (2018) Parameter search to find ranges of activation and inhibition of wound healing rate in a mathematical model with introduced photobiomodulation. In: Lhotska, L., Sukupova, L., Lacković, I. and Ibbott, G. S. (eds.) World Congress on Medical Physics and Biomedical Engineering 2018. Series: IFMBE Proceedings (68/1). Springer: Singapore, pp. 819-822. ISBN 9789811090349 (doi:10.1007/978-981-10-9035-6_151)

McKee, S. and Mcginty, S. (2015) Stents, blood flow and pregnancy: mathematical modelling in the raw. In: Bissell, J. J., Caiado, C. C. S., Curtis, S., Goldstein, M. and Straughan, B. (eds.) Tipping Points: Modelling Social Problems and Health Tipping Points: Modelling Social Problems and Health. Series: Wiley series in computational and quantitative social science. John Wiley & Sons Ltd., pp. 95-112. ISBN 9781118752753 (doi:10.1002/9781118992005.ch6)

Conference or Workshop Item

McQueen, A., Kennedy, S. , McCormick, C., Aggarwal, A. and McGinty, S. (2020) Mathematical Modelling of the Effect of Drug on Smooth Muscle Cell Proliferation. Scottish Cardiovascular Forum 2020, 23rd Annual Meeting, Glasgow, UK, 1 Feb 2020.

Escuer, J., Martinez, M. A., Mcginty, S. and Pena, E. (2019) A Computational Mechanobiological Model to Simulate the In-Stent Restenosis Process. 25th Congress of the European Society of Biomechanics (ESB2019), Vienna, Austria, 7-10 July 2019. (Unpublished)

Escuer, J., Mcginty, S. , Pena, E., Martinez, M. A. and Conway, C. (2019) Coupling Solid Mechanics and Drug Transport in 3D for Drug-Eluting Stent Analysis. 25th Congress of the European Society of Biomechanics (ESB2019), Vienna, Austria, 7-10 July 2019. (Unpublished)

Martinez, M. A., Escuer, J., Mcginty, S. and Pena, E. (2019) A Continuum-Approach Model to Numerically Simulate the In-Stent Restenosis Process. First Colloquium of the Spanish Theoretical and Applied Mechanics Society (STAMS2019), Madrid, Spain, 28-29 March 2019. (Unpublished)

Escuer, J., Pena, E., Martinez, M.A. and Mcginty, S. (2018) Elucidating the Importance of Drug Dissolution and Specific-binding in a 2D Model of Arterial Drug-eluting Stents. Virtual Physiological Human Conference (VPH2018), Zaragoza, Spain, 5-7 Sept 2018. (Unpublished)

Escuer, J., Pena, E., Martinez, M.A. and Mcginty, S. (2018) On the Relationship Between Mechanical Deformation and Drug Transport Properties of the Arterial Wall. Modelling and Experiments in Drug Delivery Systems (MEDDS2018), Glasgow, UK, 3-5 Sept 2018. (Unpublished)

Escuer, J., Cebollero, M., Pena, E., Mcginty, S. and Martinez, M. A. (2018) Computational Modelling of the Effect of Mechanical Expansion on Drug Delivery from Endovascular Devices. 8th World Congress of Biomechanics, Dublin, Ireland, 8-12 July 2018. (Unpublished)

Escuer, J., Scullion, B., McCormick, C. and Mcginty, S. (2018) On The Influence of Non-Uniform Binding Site Density in Determining Arterial Drug Distribution Following Stent-Based Delivery. 8th World Congress of Biomechanics, Dublin, Ireland, 8-12 July 2018. (Unpublished)

Escuer, J., Pena, E., Mcginty, S. and Martinez, M. A. (2018) Computational Analysis of the Influence of Dissolution-Diffusion and Specific Binding on Drug Transport in the Arterial Wall following Stent-based Delivery. VII Jornada de Jóvenes Investigadores del (I3A), Zaragoza, Spain, 8 June 2018. (Unpublished)

Conference Proceedings

Meere, M., Mcginty, S. and Pontrelli, G. (2017) Mathematically Modelling the Dissolution of Solid Dispersions. In: Equadiff 2017 Conference, Bratislava, Slovakia, 24-28 Jul 2017, pp. 341-348. ISBN 9788022747578

McGinty, S. , Hyndman, L., Mottram, N. , McKee, S. and Webb, S. (2017) In-silico Characterisation of the Kirkstall QV900 In-Vitro System for Advanced Cell Culture. In: 5 th International Conference on Computational and Mathematical Biomedical Engineering (CMBE2017), Pittsburgh, PA, USA, 10-12 April 2017, pp. 1174-1177. ISBN 9780956291448

McGinty, S. , McCormick, C., McKittrick, C., Kennedy, S. , Oldroyd, K., Wheel, M., Scullion, B., Pontrelli, G. and McKee, S. (2017) Combining Mathematical Modelling with In-Vitro Experiments to Predict In-Vivo Drug-Eluting Stent Kinetics. In: 5 th International Conference on Computational and Mathematical Biomedical Engineering (CMBE2017), Pittsburgh, PA, USA, 10-12 April 2017, pp. 1011-1014. ISBN 9780956291448

McGinty, S. and Pontrelli, G. (2017) Mathematical Modelling of Variable Porosity Coatings for Dual Drug Delivery. In: 5 th International Conference on Computational and Mathematical Biomedical Engineering (CMBE2017), Pittsburgh, PA, USA, 10-12 April 2017, pp. 184-187. ISBN 9780956291448

McGinty, S. and Pontrelli, G. (2015) A 1D Mechanistic Model Can Predict Duration of In-Vivo Drug Release from Drug-Eluting Stents. In: 4th International Conference on Computational & Mathematical Biomedical Engineering, Paris, France, 29 June - 1 July 2015, pp. 658-661. ISBN 9780956291431

McGinty, S. , Wheel, M., McKee, S., McCormick, C., McKittrick, C., Kennedy, S. and Oldroyd, K. (2015) Can Anisotropy Enhance the Spatial Uniformity of Drug Distribution in Biological Tissue? In: 4th International Conference on Computational & Mathematical Biomedical Engineering, Paris, France, 29 June - 1 July 2015, pp. 194-197. ISBN 9780956291431

Pontrelli, G. and McGinty, S. (2014) Drug Delivery in Biological Tissues: A Two-Layer Reaction-Diffusion-Convection Model. In: 18th European Conference on Mathematics for Industry 2014, Taormina, Italy, 9-13 June 2014,

McGinty, S. , McCormick, C., McKee, S., Wheel, M., Kennedy, S. and Oldroyd, K. G. (2013) Simulating Drug-Eluting Stents: Progress Made and the Way Forward. In: Special Session on Modelling and Simulation in Biology and Medicine (BIOMED 2013), Reykajvik, Iceland, 29-31 July 2013, pp. 664-671.

This list was generated on Mon Jan 25 00:23:15 2021 GMT.

Grants

• EPSRC (2020-2024), The SofTMech Statistical Emulation and Translation Hub (SofTMechSET), EP/T017899/1 (CI)

• EPSRC (2019-2023), SofTMech with MIT and POLIMI (SofTMechMP), EP/S030875/1 (CI)

• Lord Kelvin Adam Smith Studentship (2018-2022), FIRST TIME, (PI)

• The Carnegie Trust (2018), Mathematical modelling of sonoporation for a liquid crystal shell microbubble, (PI)

• Royal Society Newton Mobility Grant (2018-2020), Towards Next Generation Stenting - The Evaluation and Study On The Mechanical Behaviour of Novel Shape Memory Polymer Stents, (CI)

• EPSRC GCF ISF (2016-2017), Improved modelling for the design of optimized next generation drug-eluting stents, (PI)

• The Dr Hadwen Trust (2016), In-silico characterisation of the Kirkstall QV900 in-vitro system for advanced cell culture, (PI)

• NHS Greater Glasgow & Clyde Research Endowment Fund (2016-2017), Investigating the potential of mathematical modelling for the analysis of congenital heart disease, (PI)

• EU COST Action TD1409 MI-NET (2015-2016), Mathematical modelling training week with industry, (PI)

• EPSRC IAA (2016), Understanding the potential benefits of using bispecific versus monospecific antibodies (with Glaxosmithkline), (PI)

• EPSRC IAA (2016), Modelling drug penetration in 3D hepatocyte spheroids (with AstraZeneca), (PI)

• EPSRC POEMS Network Funding (2015), Computational modelling in healthcare: Making confident predictions in a world of error and uncertainty, (PI)

• EPSRC IAA New Company Engagement (2014-2015), Simulating complex flow and absorption in quasi-vivo cell culture systems (with Kirkstall Ltd.), (PI)

• Royal Society (2014-2016), Modelling drug release from polymer-free drug-eluting stents, (PI)

 

 

Supervision

 

PhD Students (as primary supervisor)

  • Lauren Hyndman
  • Alistair McQueen
  • Andre Fensterseifer Schmidt
  • Marcia McSwegan
  • Rafic Ramses

PhD Students (as joint supervisor)

  • Parna Mandal (Jointly supervised with Prof Nigel Mottram)
  • Sathish Kumar (Jointly supervised with Prof Nick Hill)

Former students and PDRAs

  • Dr Hongrui Wang 
  • Dr Danyang Wang
  • Dr Rachel Lucena
  • Bryan Scullion
  • Dr James Cowley
  • Dr Davd King

 

Teaching

Current Courses

  • ENG1063: Engineering Mathematics 1
  • ENG4085: Integrated Systems Design Project 4 (ISDP4)
  • ENG2098: Engineering in Biology 2 

Additional information

 

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‌Mathematics for Industry PhD Modelling Week - Call for Applications

University of Glasgow, UK

12th-16th September 2016

 

Description. The Centre for Mathematics Applied to the Life Sciences (CMALS), in conjunction with SofTMech, is delighted to announce that the University of Glasgow will be hosting a Mathematics for Industry PhD modelling week from 12th-16th September 2016.  A call for applications is open and full instructions can be found below. This initiative is supported by COST Action TD1409, Mathematics for Industry Network (MI-NET).

Purpose. A key purpose of CMALS and SofTMech is to provide a vibrant community for PhD students to interact, learn and achieve their full potential, whether they pursue a career in research or in Industry. This modelling week is the perfect platform to combine training, collaboration and communication with European students of varied backgrounds, and to facilitate the enhancement of problem solving skills within a student-dominated environment.  Industrialists and clinicians will help the students develop awareness of the real-world applications of their work. 

Format. The week will start on Monday morning with introductory talks from industrialists and clinicians on the problems at hand, followed by short lectures from the academic instructors on the application of mathematics in these areas.  The rest of the week will be devoted to working in small groups on the problems, supported by industrial/clinical/academic instructors.  During the week, we will have guest lectures from Dr Martin Meere (NUI Galway, Ireland) and Dr Giuseppe Pontrelli of the National Research Council (Italian CNR) as well as a conference dinner.  The week will close with lunch on the Friday afternoon.

CMALS and SofTMech. CMALS is a collaboration predominantly between the Universities of  Glasgow and Strathclyde which promotes interdisciplinary research and scholarship in Mathematics applied to the Life Sciences.  The Centre has a wide membership list extending beyond the Scottish universities to researchers across the UK, Europe and the US.  Research across the Centre varies considerably and includes heart modelling, soft tissue mechanics, drug delivery, epidemiology, disease and treatment, marine science and ecology.  SofTMech is the newly formed EPSRC Centre of Maths for Healthcare led by the University Glasgow. 

Problems. A brief description of the three problem areas to be considered is provided below.  Successful applicants will receive further specific details ahead of attending the workshop.

HEART. Heart diseases are the major cause of mortality in the world.  Soft tissue mechanics plays an essential role in all current models of the heart.  One of the key issues is that the material parameters required for modelling cannot be directly obtained and these have to be inferred from medical images.  This “inverse approach” uses combined mechanistic models and statistical parameter inference.   We will gain insights into this problem by developing some of the approaches for relevant and adequately simplified problems.

DRUG DISCOVERY. GlaxoSmithKline (GSK) is currently engaged in substantial drug discovery research programmes.  As well as experimental approaches, GSK adopt mathematical modelling and simulation to try to better understand what they are observing in experiments and to make predictions of the effect of changes.  Key to any progress in this area is an adequate description of the interaction between proteins and molecules.  In this problem we will use mathematics to model binding and diffusion processes in a number of relevant scenarios.

MEDICAL DEVICES. Orthopaedic implants are devices which replace a missing joint/bone or support a damaged bone. Despite great improvements over the years, there remain a number of challenges including the development of infection, inflammation and pain.  It has been suggested that the local delivery of drug from the implant may be an ideal way of tackling some of these issues.  In this problem, we will develop models of some drug-releasing orthopaedic implants.  This will allow us to identify the parameters controlling the release and to make suggestions about how the devices should be designed to control the release.

Application process. The workshop aims to attract both local PhD students associated with CMALS/SofTMech and external students from across Europe.  Registration is free, and students from out-with Glasgow will be entitled to a contribution to the costs associated with attending the week as detailed below:

Accommodation: Approx. £150 (£30 per night for 5 nights)

Evening meals: Approx. EURO 80 (EUR0 20 per night for 4 nights)

The conference dinner and Lunches and refreshments throughout the week are also fully paid for.

 

Note that students from out-with Glasgow will be expected to cover the costs of their travel to Glasgow from their existing PhD funding/department/university. Any student from an inclusive target country who is unable to cover the costs of travel, should contact the organisers.

To apply, please send to sean.mcginty@glasgow.ac.uk by FRIDAY 10th June a single page of A4 which includes:

  1. Your University level qualifications
  2. A brief description of your PhD project with details of your supervisor, Institution and your year of study. List any prizes or awards you have received and detail any poster/oral presentations you have delivered
  3. Your motivation for wanting to attend the modelling week along with an indication as to whether you intend to pursue a career in academia or in industry
  4. The workshop projects listed in your order of preference
  5. Confirmation that you have secured travel funding (if coming from out-with Glasgow) and the source of this funding.

Any application which exceeds the 1-page limit will be rejected.

Note that students are applying to be admitted to the modelling week, rather than applying to work on a particular project.  The applications will be reviewed by the committee and those successful students will be notified by the end of June.  The committee will consider (amongst other criteria): the excellence of the student, the area of mathematics they are working in and the benefit to the student of attending the modelling week.

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