Analysis of the in-vitro nanoparticle-cell interactions via smoothing splines mixed effects model
Author
Doğruöz, Elifnur
Advisor
Dayanık, Savaş
Date
2013Publisher
Bilkent University
Language
English
Type
ThesisItem Usage Stats
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Abstract
A mixed effects statistical model is developed to understand the nanoparticle(NP)-
cell interactions and predict the cellular uptake rate of NPs. NP-cell interactions are
crucial for targeted drug delivery systems, cell-level diagnosis, and cancer treatment.
The NP cellular uptake depends on the size, charge, chemical structure,
concentration of NPs, and incubation time. The vast number of combinations of
those variable values disallows a comprehensive experimental study of NP-cell
interactions. A mathematical model can, however, generalize the findings from some
limited number of carefully designed experiments and can be used for the simulation
of NP uptake rates for the alternative treatment design, planning, and comparisons.
We propose a mathematical model based on the data obtained from in-vitro NPhealthy
cell experiments conducted by the Nanomedicine and Advanced
Technologies Research Center in Turkey. The proposed model predicts the cellular
uptake rate of Silica, polymethyl methacrylate, and polylactic acid NPs given the
incubation time, size, charge and concentration of NPs. This study implements the
mixed model methodology in nanomedicine area for the first time and is the first
mathematical model that predicts NP cellular uptake rate based on sound statistical
principles. Our model provides a cost effective tool for researchers developing
targeted drug delivery systems.
Keywords
Nanomedicinesmoothing splines
linear mixed model,
nanoparticle uptake rate
targeted drug delivery