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Targeted Drug Delivery to the Lung University of Sheffield EC funded COPHIT project CFX Ansys...... Areco..................... Aventis....……………. INO Therapeutics.... University of Mainz.. UK France UK Austria Germany Partners
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Outline What is targetted delivery? –– the COPHIT project Systemic model for whole respiratory system Validation –Inhaled Nitric Oxide –Inhaled hyper-polarised 3 He –Particles inhaled via dry powder inhaler
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Inhaled drug delivery - I Obvious: lung diseases –Asthma – COPD – Cystic Fibrosis – Pulmonary Hypertension
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Inhaled drug delivery - II New not-so-obvious therapies: –Diabetes - Insulin –Pain Management - Morphine –Multiple Sclerosis - Interferon Beta 1a –Osteoporosis - Parathyroid hormone –Infectious Disease - Antibiotics Lots of advantages but...
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The metered dose inhaler The drug is dissolved in the propellent The actuation causes the drug to leave the device at 25 ms -1
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Sub-optimal delivery...
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…sub-optimal results Most of the drug impacts in the mouth The small amount in the lungs is distributed only in the proximal airways
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Controlled Entrainment
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Targeted Drug Delivery Controlled entrainment: Droplet/particle size Delivery timing Delivery duration …profiled to match the patient’s characteristics And is leading to a new generation of devices Processor-controlled Adaptive
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Multi-variant Optimisation Hundreds of variables… Device characteristics Drug formulations Breathing patterns … How to optimise? Only by modelling…
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Ideal Model Tell the model about… Device behaviour Drug characteristics Patient’s geometry, pathology, breathing It reports back on… Deposition Uptake Effectiveness
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COPHIT: Project AIM To develop a comprehensive dynamic compartmental model that can track the progress of inhaled drug delivered from the device through the respiratory system and into the circulation…. …validated in man by MR-imaging with hyper-polarised 3-He, and other techniques Computer-Optimised Pulmonary Delivery in Humans of Inhaled Therapies
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Complex Physiological System The airways - branching into several thousand pathways through more than 20 bifurcations The lung - 300 million alveoli where drugs can be taken up across the alveolar membrane
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3D Device from CAD Model Compartments 3D airways to G8 from scans 0/1D compartments thereafter Variable pathologies G8: 2 8 =256 3D URT geometry from scans
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3D geometries from medical images Fill in missing detail Segmentation of high resolution CT scans
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Geometry reassembled
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Automatic surface mesh created
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Upper Respiratory Tract
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Tracheo-bronchial tree…
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…down to the 8th generation 1.34 million volume elements (tets) Time ~4mins on a 800MHz P3 requiring ~1Gb Ram WP3
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Diseased airways
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Flow and Deposition Analysis Full Navier-Stokes equations solved in 3D geometry Subject to certain boundary conditions Commercially-available CFD software package from partner –CFX 5.6 from CFX Ansys –Extra facilities for aerosol modelling
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Transient flow: peak Re = 1200 t V
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t V
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t V
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Massless particles in transient flow
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t=0.2-0.4s Upper respiratory tract: transient
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t=0.8-1s WP3 Upper respiratory tract: transient
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Validation
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Validation – 5 Strategies 5 approaches to validation… –Gas – Sampled (INO Therapeutics) –Gas – MR Imaged (Mainz & Sheffield) –Aerosols, Medical – Imaged(Aventis) –Aerosols, Industrial – Analysed(Areco) –Powders – Scintigraphically Imaged(Aventis)
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Particles – Scintigraphy images 3 different inhaled regimens (A,B and C) Scintigraphy images of inhaled radiolabelled dry powder and aerosol Deposition calculated (from images) as % of initial dose in –lung –oropharynx –oesophagus and stomach –exhalation filter –device
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Particles – PK measurements Blood plasma concentration measured.
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-Scintigraphy - Results –Regimen A: Eclipse™ at optimal inspiratory flow rate 50 L min -1 Eclipse™ optimal flow rate – 30% retention 24% initial dose26% initial dose
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-Scintigraphy - Results –Regimen B: Eclipse™ at sub-optimal inspiratory flow rate 30 L min -1 Eclipse™ sub-Optimal flow rate – 50% retention 12% initial dose 26% initial dose
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-Scintigraphy - Results –Regimen C: pMDI at optimal inspiratory flow rate 40 L min -1 pMDI Optimal flow rate – 9% retention 4% initial dose 7% initial dose
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Particles Simulations – Device
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Particles Simulations – Mouth 0.5 m 3 m3 m 7 m7 m 20 m 50 m
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Particles Simulations – Mouth 0.5 m 3 m3 m 7 m7 m 20 m 50 m
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Particles3
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Dynamic deposition
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Quantification of deposition data - I
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Quantification of deposition data - II
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Quantification of deposition data - III 44% 28% 3%
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Gas Sampled Artificially ventilated patients Experimental trials at INO Therapeutics
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Resulting mass fractions of NO - III Coupled
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Resulting mass fractions of NO - III Coupled
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Resulting mass fractions of NO - IV Coupled
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Comparison with trial results – I Five points of measurement are identified Trachea Right main bronchus Left main bronchus Right down lobe Left down lobe
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Comparison with trial results – II
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Gas – MR imaged Experimental trials at Sheffield
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Gas – MR imaged maximum temporal resolution =5.4 ms 1L of 3He and Nitrogen breathed spontaneously from a bag gas composition = 300cm 3 3 He, 700cm 3 N 2 Experimental trials at Sheffield
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Simulation results
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Comparison with dynamic MRI - I
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Comparison with dynamic MRI - II
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Comparison with dynamic MRI - III
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Software - processes
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Easier to use front-end… Uses web driven software – EASA from AEA Technology All licensed software (e.g CFX etc) sits on a remote EASA server Application driven from client’s computer by web browser and EASA client software
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Conclusions Comprehensive simulation tool developed Allow pharma companies to test devices virtually before human trial Enable clinicians to investigate specific pathological scenarios Limitations: –Validation –Models
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