Literature DB >> 17504147

Mathematical modeling of cell adhesion in shear flow: application to targeted drug delivery in inflammation and cancer metastasis.

Sameer Jadhav1, Charles D Eggleton, Konstantinos Konstantopoulos.   

Abstract

Cell adhesion plays a pivotal role in diverse biological processes that occur in the dynamic setting of the vasculature, including inflammation and cancer metastasis. Although complex, the naturally occurring processes that have evolved to allow for cell adhesion in the vasculature can be exploited to direct drug carriers to targeted cells and tissues. Fluid (blood) flow influences cell adhesion at the mesoscale by affecting the mechanical response of cell membrane, the intercellular contact area and collisional frequency, and at the nanoscale level by modulating the kinetics and mechanics of receptor-ligand interactions. Consequently, elucidating the molecular and biophysical nature of cell adhesion requires a multidisciplinary approach involving the synthesis of fundamentals from hydrodynamic flow, molecular kinetics and cell mechanics with biochemistry/molecular cell biology. To date, significant advances have been made in the identification and characterization of the critical cell adhesion molecules involved in inflammatory disorders, and, to a lesser degree, in cancer metastasis. Experimental work at the nanoscale level to determine the lifetime, interaction distance and strain responses of adhesion receptor-ligand bonds has been spurred by the advent of atomic force microscopy and biomolecular force probes, although our current knowledge in this area is far from complete. Micropipette aspiration assays along with theoretical frameworks have provided vital information on cell mechanics. Progress in each of the aforementioned research areas is key to the development of mathematical models of cell adhesion that incorporate the appropriate biological, kinetic and mechanical parameters that would lead to reliable qualitative and quantitative predictions. These multiscale mathematical models can be employed to predict optimal drug carrier-cell binding through isolated parameter studies and engineering optimization schemes, which will be essential for developing effective drug carriers for delivery of therapeutic agents to afflicted sites of the host.

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Year:  2007        PMID: 17504147     DOI: 10.2174/138161207780765909

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  9 in total

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Authors:  Sarthok Sircar; John G Younger; David M Bortz
Journal:  J Biol Dyn       Date:  2014-08-27       Impact factor: 2.179

2.  Roles of cell and microvillus deformation and receptor-ligand binding kinetics in cell rolling.

Authors:  Parag Pawar; Sameer Jadhav; Charles D Eggleton; Konstantinos Konstantopoulos
Journal:  Am J Physiol Heart Circ Physiol       Date:  2008-07-25       Impact factor: 4.733

3.  Ultrasound-enhanced rt-PA thrombolysis in an ex vivo porcine carotid artery model.

Authors:  Kathryn E Hitchcock; Nikolas M Ivancevich; Kevin J Haworth; Danielle N Caudell Stamper; Deborah C Vela; Jonathan T Sutton; Gail J Pyne-Geithman; Christy K Holland
Journal:  Ultrasound Med Biol       Date:  2011-08       Impact factor: 2.998

4.  Computational modeling of pancreatic cancer reveals kinetics of metastasis suggesting optimum treatment strategies.

Authors:  Hiroshi Haeno; Mithat Gonen; Meghan B Davis; Joseph M Herman; Christine A Iacobuzio-Donahue; Franziska Michor
Journal:  Cell       Date:  2012-01-20       Impact factor: 41.582

5.  Surface deformation and shear flow in ligand mediated cell adhesion.

Authors:  Sarthok Sircar; Anthony J Roberts
Journal:  J Math Biol       Date:  2016-03-10       Impact factor: 2.259

6.  Hematocrit and flow rate regulate the adhesion of platelets to von Willebrand factor.

Authors:  Hsieh Chen; Jennifer I Angerer; Marina Napoleone; Armin J Reininger; Stefan W Schneider; Achim Wixforth; Matthias F Schneider; Alfredo Alexander-Katz
Journal:  Biomicrofluidics       Date:  2013-12-06       Impact factor: 2.800

7.  Podocalyxin-like protein is an E-/L-selectin ligand on colon carcinoma cells: comparative biochemical properties of selectin ligands in host and tumor cells.

Authors:  Susan N Thomas; Ronald L Schnaar; Konstantinos Konstantopoulos
Journal:  Am J Physiol Cell Physiol       Date:  2008-12-31       Impact factor: 4.249

8.  Comparative lytic efficacy of rt-PA and ultrasound in porcine versus human clots.

Authors:  Shenwen Huang; Himanshu Shekhar; Christy K Holland
Journal:  PLoS One       Date:  2017-05-17       Impact factor: 3.240

9.  Localization of Rolling and Firm-Adhesive Interactions Between Circulating Tumor Cells and the Microvasculature Wall.

Authors:  Mahsa Dabagh; John Gounley; Amanda Randles
Journal:  Cell Mol Bioeng       Date:  2020-01-24       Impact factor: 2.321

  9 in total

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