@phdthesis{Ahmed2014, author = {Ahmed, Arabe}, title = {Assessing particle deposition in a representative in vitro model of the rat respiratory tract}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-104912}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2014}, abstract = {The aim of this thesis was to develop an in vitro model (IVR) of the rat lung for the purpose of investigating the deposition of drug particles in the rat airways. The model attempted to account for the affect of drug product characteristics and physiological parameters on deposition in the lungs. In addition, the model outputs were compared with in vivo lung deposition results from live rats and in silico predictions using published computer model of lung deposition in pre-clinical species. Initial work focussed on developing an aerosol exposure system capable of dosing small rodent to a range of airborne test materials. The system consists of two main parts; a fluidised bed aerosol generator and connection of the generator output to a nose only exposure chamber capable of accommodating 12 small animals in a single layer. In addition, an aerodynamic particle spectrometer (APS) was installed for continuously measuring the size distribution and airborne concentration of aerosol particles generated in the exposure chamber. System validation showed acceptable degree of variation of the test material tested, Fluorescent Microspheres (FMS) throughout the exposure chamber (CV < 15.0\%). Particle size (MMAD ± GSD) using the APS was shown to be stable throughout the exposure periods. The IVR model developed in this project was based on a number of euthanased (n=7), female Sprague-Dawley rats (weight: 372 ± 56 g), which underwent high-resolution micro-CT scans. The physical model consisted of five sub sections; Extra-Thoracic region containing the snout and nasophyarynx, trachea-bronchial region containing the trachea, bronchi, and bronchioles. All sections of the model were attached to one another in numerical order and housed within a containment unit. At the rear end of the cast, a flexible diaphragm was attached in order to collect the fraction of inhaled particles exiting the TB section and possibly reaching the lung, referred to as the Post-TB section. A study was conducted to assess the influence of inhalation parameters such as the breathing frequency and tidal volume on total and regional dose distribution using FMS as test material. The major finding of this study was the demonstration of the model sensitivity to changes in breathing parameters especially respiratory frequency, where the data showed increased deposition in the peripheral regions of the model with decreased respiratory frequency. Other studies assessed the effect of particle characteristics on deposition on the IVR model, such as particle size, dose increase and formulation changes. The results assessing particle size effect showed a slightly higher deposition levels for the 4µm sized particles versus 2µm sized particles in the head region; 90.8 ± 3.6\% and 88.2 ± 6.6\%. However, this difference did not reach statistical significance (P> 0.05) probably due to the polydispersity of aerosolised FMS particles. In addition, the regional deposition analysis showed an increased lung peripheral deposition with the smaller particles. In addition, the model was shown to be sensitive to changes in formulation composition mediated by inclusion of MgSt. The next stage of work was to validate the model in terms of comparison with lung deposition for in vivo rats. For lung deposition comparison, the absolute amount deposited in the IVR lung model (expressed as µg/kg) was shown to have a reasonably strong correlation with in vivo lung concentration measures (µg/kg); R2= 0.66, P < 0.05. Compounds were predicted well and within 2-folds of the measured lung deposition values. However, knowing the variability in biological systems and the multiple components required to estimate lung doses, predictions within 2-fold of the measured values would seem reasonable In terms of comparison with in silico model predictions using MPPD, similar deposition levels were noted between the two models, particularly when the data was expressed as percentage of total particles inhaled. The data showed the highest deposition levels were noted in the head region (> 80\%) and less than 5.0\% deposition for the peripheral lung fractions. With regards to using the IVR model to assess the relationship between dose, particle size and efficacy, an in vivo study using FP with different particle sizes (2.0 and 4.0 µm) but same doses ( 100 and 1000 µg/kg). This study demonstrated that exposure of rat to FP powder resulted in a dose-dependent inhibition of neutrophils in BAL fluids. However, a clear difference in neutrophils suppression was demonstrated for equivalent doses but different particle sizes of FP, where the smaller FP particles (2.0 µm) induced a greater level of neutrophils suppression in comparison with larger FP particles (4.0 µm). In addition, a reasonably good correlation for the relationship between lung deposition in the IVR model and a neutrophils suppression level was demonstrated. Furthermore this data support the hypothesis that regional deposition is an important determinant in efficacy. Therefore, this suggests that the IVR model may be a useful as a tool to describe in vivo efficacy with in vitro data. However, further studies should be conducted to evaluate the validity of this model and relationship. The IVR model has a number of important limitations. First, the model is based on scans up to generation four of the rat respiratory tract as this represented the limits of the micro-CT scanning technology at the time of this study. Therefore deposition in the deeper region of the lung may not be reflected precisely in the IVR model. Second, the regional deposition data generated using the model tended to show an overestimation of deposition in head region and an underestimation of deposition in the peripheral regions of the lung, in comparison with in vivo lung deposition data. Third, the current model does not take into account lung clearance. However, the amount of the drug present in the in vivo lungs is dependent on numerous physiological processes such as dissolution, passive or active absorption into the systemic circulation, binding to lung tissue and mucociliary clearance. Consequently, the results generated using this IVR model for drug molecules with high lung clearance rate should be treated with some caution. Future work extending this research could go in a number of directions. In this research, a representative model of the rat respiratory tract was constructed from analysis of imaging data from a number of euthanised Sprague-Dawley rats. This model represented the "average respiratory tract" in terms of dimensions of Sprague-Dawley rats. However, there is considerable variability in the airway dimensions between rats. This variability encompasses a number of factors such as the strains of rats, sex and age, and disease state. Thus, it may be possible to produce a small number of airway models to represent small and large rats and scaled to represent the extrathoracic and peripheral regions based on literature reports of their dimensions in different rat populations. This approach will then enable the effect of intersubject airway dimensions for different rat populations on aerosol deposition to be thoroughly examined. In addition, due to the limitation of the micro-CT technology used to construct the physical IVR model, detailed morphology only up to generation 4 were captured. However, recent advances in MRI technology, such as the use of in situ-MRI based scanning technology have enabled rat airway morphometry to be extended to 16 airway generation. This coupled with improvements in the resolutions of rapid-prototyping process means it may be possible to construct a rat model that reflects the in vivo lung morphology more accurately, and thus enable greater understanding of the link between aerosol deposition and airway geometry. In conclusion, a model cast of the rat lung was developed and validated to allow the deposition of inhaled particles in the rat lung to be investigated. The model may be used to estimate the lung concentration in vivo rats in preference to exposure concentration measurements based on filter samples which have been shown to be a poor indicator of the lung concentration immediately after exposure. In addition, the model has the potential to be used along with live rats in an inhalation rig in pulmonary pharmaceutics research and may facilitate in development of inhaled formulations to target specific regions within the lung as well as screening of inhaled drugs in preclinical setting.}, subject = {Ratte}, language = {en} }