Novel In Vivo Approaches for Integrative Pharmacology and Toxicology Studies: Combining Radio Telemetry with Automated Sampling/Delivery Systems Tuesday, July 13th, 2010 We will begin at 10:00 AM Webinar Logistics Event will be recorded and available for viewing Listen via Broadcast Audio, or Call in to listen via phone select phone icon at bottom of attendee panel to view call information, (must enter Attendee ID) 40 minute presentation; reserving 20 minutes for Q&A Participant audio lines are muted We want to hear from you! Send your questions through the “Q&A” function, (expand to view) Questions will be answered at the end the presentation Continue discussion on Novel In Vivo Approaches for Integrative Pharmacology and Toxicology Studies: Combining Radio Telemetry with Automated Sampling/Delivery Systems Presenter Moderator Russell Bialecki, Ph.D. Director, Safety Pharmacology North America russell.bialecki@astrazeneca.com 1-302-886-5356 Derek Leishman, Ph.D. Global Head of Safety Pharmacology derek_leishman@lilly.com 1-317-433-2578 Safety Pharmacology Society Webinar, July 13, 2010 4 Safety Pharmacology Society Webinar, July 13, 2010 Presentation outline • Background • Integrative Pharmacology – definition and objective • Advantages to combining models • Statistical • 3R’s • Cost, Quality and Speed • Available technology • BASi Culex® • Data Sciences International (DSI) radio telemetry • Our approach – integrating equipment • The engineering solution • Demonstrating signal capture • System optimization and validation • Case studies • Summary and conclusions 5 Integrative pharmacology • Defined as the simultaneous evaluation of multiple parameters to assess interrelationships of various physiological and pathological processes in response to drugs • Integrative (i.e., in vivo) pharmacology remains an essential part of drug discovery • Regulatory authorities require the pharmaceutical industry to demonstrate in vivo pharmacokinetic (PK), pharmacodynamic (PD), and safety properties of new drug candidates • The PK-PD relationship allows a determination of: 1. Therapeutic actions of drug exposure 2. Safety margins correlating therapeutic and toxic effects of a compound 6 • The PK-PD relationship can be derived in many ways • Thus far, there has been no ideal way to determine PK-PD in a single animal Objective • To describe a novel in vivo model for simultaneous measurement of multiple organ system functions and PK by combining automated blood sampling technology and radio telemetry 7 Combined model: Statistical advantages ‘Within’ experimental design • Every animal serves as it’s own control • Better control of multiple independent variables • e.g., weight, age, food intake, environment, etc. • Variability less than ‘between’ designs • Fewer animals for the same test power (b) • Comparison information across organ systems • Establish correlative relationships • Time-dependent vs. time-independent effects • Exposure-dependent vs. dose-dependent • Identification of outliers • Data collected after dosing error still useful • e.g., exposure comparisons post-dose • Exposure differences used to your advantage 8 Combined model: Animal welfare and other advantages Measuring multiple organ functions simultaneously: • Reduces animal use vs. singlet studies • Refines data comparisons • Better control of study variables • Paired-wise studies vs. separate control groups • Better evaluation of multivariate relationships • Replaces use of higher mammals with sentient species • Earlier stop decision on toxic compounds • Decreases cost vs. singlet studies • Increases speed of delivery vs. sequential singlet studies • Facilitates better and earlier decision-making 9 Available technology: BASi Culex® automated blood sampler 10 • Programmable sampling from conscious freely moving rodents • Up to 1.5 ml collected into chilled vials; volume replaced with saline • 4 rats sampled simultaneously • Little/no animal handling reduces animal stress • Infusion system available for drug delivery • Includes metabolic waste collection system BASi Culex® components 1 Cage 2 Metabolic waste collection 3 Infusion pump 4 Sampling pump 5 Sample storage 1 4 3 5 1 2 11 2 Available technology: Radio telemetry Benefits • Reduced Stress for animal • Reduced Stress for the researcher! • True, physiological, reproducible data • Better animal welfare: 3R’s • Improved safety for animal and researcher • Automated data recordings and analysis • Adherence to guidelines and standards • e.g., ICH S7A 12 DSI radio telemetry: Small animal system PhysioTel® C50-PXT Small Animal Transmitter 13 Our approach… To maximize the utility of both systems, we needed an engineering solution combining BASi Culex® Automated Blood Sampling with DSI radio Telemetry. 14 Antenna bioengineering • Obtained a mutual non-disclosure agreement with DSI and input on design modification • Defined the radiation pattern of the transmitter 15 Antenna bioengineering: Demonstrating signal capture • Constructed a series of antennas leading to an optimal design D. Litwin et al. An Integrative Pharmacological Approach to Radiotelemetry and Blood Sampling in Pharmaceutical Drug Discovery and Safety Assessment Engineering in Medicine and Biology (In review) 16 The modified radio telemetry receiver… 17 Combined sytems: BASi Culex® and DSI radio telemetry 18 Presently measured parameters in ABST • Cardiovascular • • • • • HR MABP Systolic BP Diastolic BP Pulse pressure • CNS • EEG • Activity counts (telemetry and Culex®) • Body temperature • GFR/RPF, urinary electrolytes, biomarkers of injury • Plasma drug exposures • Blood constituents 19 System optimization: Body weight gain Comparison of Body Weight Gain 500 400 Body Weight (g) 350 Control Metabolic cage Culex +2.4% 400 Body Weight (g) Effect of Different Acclimation Procedures on Body Weight Gain 300 200 100 Mean ± SD; n > 12 0 5 6 7 8 9 10 11 12 Age (weeks) 300 -5.5% -7.2% * -2.8% -5.1% * 250 200 Fast overnight Hydration Gel overnight Hydration & Nutrition Gel H. Kamendi et al. Combining Radio Telemetry and Automated Blood Sampling: A Novel Approach for Integrative Pharmacology and Toxicology Studies. J. Pharmacol. Toxicol. Methods (2010) doi: 10.1016/j.vascn.2010.04.014 20 13 14 15 16 Comparison of stress levels 225 200 175 150 125 100 75 50 25 0 ** ** p< .0001 * p< .05 * (n g/ m l) ac tin (u I in In su l Pr ol l) (n g/ m m os te ro ne (p g/ Co rti c U/ m l) * * AC TH 21 Tail bleed ABST Home cage ** l) Levels of Hormones Stress hormones in ABST vs tail bled and home cage rats Acclimation period optimization: CV and body temperature ABST Home cage Telemetry Mean Arterial Blood Pressure Systolic Blood Pressure Diastolic Blood Pressure 120 110 100 90 120 140 130 120 110 100 1 2 3 4 5 6 9 10 Diastolic BP (mm Hg) 120 1 2 3 Days 4 Days 5 Diastolic BP (mm Hg) Systolic BP (mm Hg) 150 110 100 110 100 90 80 6 9 10 1 2 80 0 Body 1 Temperature 2 3 4 5 Days 41 500 4 Temp ( 0C) 40 450 400 39 38 37 36 350 35 34 300 1 2 3 4 Days 5 6 9 10 1 5 6 9 Days 42 550 3 90 Heart Rate Beats per minute (min) MAP (mm Hg) 130 Diastolic Blood Pressure 2 3 4 Days H. Kamendi et al. Combining Radio Telemetry and Automated Blood Sampling: A Novel Approach for Integrative Pharmacology and Toxicology Studies. J. Pharmacol. Toxicol. Methods (2010) doi: 10.1016/j.vascn.2010.04.014 22 5 6 9 10 6 7 8 10 Integrative pharmacology model: Renal parameters DSI Telemetry (C50-PXT) • EEG • Blood Pressure • Heart rate • Body temperature • Activity Renal Function • Urinary Biomarkers • GFR • RPF/RBF • Urinalysis • Filtration fraction (GFR/RPF) • Renal vascular resistance (MAP/RBF) Characterization of urinary parameters: Urine volume and pHVolume Volume: 50 50 Metabolic cage Culex ABST Mean ± SD; n = 4 40 30 28.0 30 20 20 10 10 pH 10 0 pH: Metabolic cage Culex 1 Mean SD; n = 4 3 Time (day) 3.2 Harlan Histrorical control (mL) Volume (mL) 40 10 0 7 8 8 7.4 6 pH 5.3 4 4 2 2 0 24 0 1 3 Time (day) 7 Harlan Histrorical control 6 Characterization of urinary parameters: Urinary electrolytes and biomarkers of injury Urine Chemistry 10000 Urinary Biomarkers 10000 Metabolic cage Culex ABST Metabolic cage ABST Culex 1000 Mean± SD; Mean 44 SD;n n= = Mean± SD; Mean 44 SD;n n= = 100 Day 7 100 Creatinine Ratio Day 3 Day 1 10 Day 7 10 Day 3 Day 1 1 0.1 1 0.01 0.1 po eo st O • 25 Electrolytes and renal biomakers of injury were similar (p=N.S.) in ABST and metabolic cage systems 1 im K nt in lin ca po um in Li lu Al b st er in PA C Urea R Phos Yb Ca ST Protein G Cl ST K 1 0.001 Na aG Creatinine Ratio 1000 Estimates of renal function in vivo Glomerular filtration rate (GFR) and renal plasma flow (RPF) were validated using a continuous infusion method (i.v., FITC-Inulin and PAH) in conscious, unrestrained Han Wistar rats No differences (p=N.S.) were noted in GFR or RPF estimates using plasma clearance [Fick principle] vs. traditional urinary clearance methods Plasma clearance methods allow simple, rapid and reproducible evaluation of renal function vs. traditional approaches Hours Y. Chen et al. Renal function evaluation in a cardio-renal pharmacology model using Culex Emphis® automated infusion system and radiotelemetry. EB 2010 FASEB J. Abstr 5437 Validation example: Baclofen effects on body temperature Home Cage Animals ABST Animals • ABST rats (right) show similar responses to traditional telemetry (left) but allow for blood sampling from the same subject • Satellite animals used in traditional telemetry were required to avoid handling artifact in temperature, CV and other parameters during manual blood draws 27 Validation example: Baclofen effects on heart rate Home Cage Animals Time (min) 28 ABST Animals Validation example: Baclofen effects on mean arterial blood pressure MABP Home Cage Animals 29 ABST Animals PK-PD modeling: Baclofen-induced MABP changes 80 70 60 50 Ce 40 Cp 30 20 10 0 10 20 30 40 Ce Cp 30 50 60 70 80 PK-PD distribution delay model: Baclofen-induced increases in MABP and HR Ka PK Compartment Volume of distribution Concentration of drug in the Effect Compartment (Ce) ConcentrationEffect Relationship Effect/Time Compartment Cl*F Mean Arterial Pressure 180 100.0 100.0 170 170 160 160 150 10.0 150 10.0 140 140 F1 Observ ed 130 F1 Predicted F2 Observ ed 120 1.0 120 110 110 100 0.1 0.1 0 100 200 300 400 500 600 700 800 90 0 100 200 300 timec (min) 400 500 600 700 800 130 F2 Predicted 1.0 0 100 200 300 timec (min) 400 500 600 700 100 0.01 800 0.10 1.00 Time 10.00 100.00 Ce (uM) Heart Rate 430 425 100.0 100.0 460 420 440 10.0 10.0 415 410 420 F1 Observ ed 400 405 F1 Predicted F2 Observ ed 1.0 1.0 400 F2 Predicted 380 395 360 0.1 0.1 0 100 200 300 400 timec (min) 31 500 600 700 800 390 385 340 0 100 200 300 400 timec (min) 500 600 700 800 0 100 200 300 400 Time (min) 500 600 700 800 0 5 10 15 20 Ce (uM) 25 30 35 40 PK-PD turnover model: Baclofen-induced decrease in temperature Turnover Model Kin Oscillation in temp Temp turnover Kout Stimulation PK Temp 32 Case study #1: Exploiting data in ABST Noisy outcomes? [AZXXX2 (μM)] [AZXXX2 [AZXXX2 (μM)] (μM)] Vehicle AZXXX2 [AZXXX2 (µM)] Case study #1: Exploiting data in ABST Noisy data was informative! • Only possible with population PK AZXXX2 MABP AZXXX2 HR [AZXXX2 (μM)] Outlier AZXXX2 MABP xxx2 34 Outlier AZXXX2 HR Outlier [AZXXX2 (μM)] Case study #2: Value of multiparametric analyses This compound appears to effect CV function, but in ABST… Arterialblood Blood Pressure MeanMean arterial pressure Heartrate Rate Heart 160 160 150 140 140 130 130 120 120 110 110 100 100 90 90 Vehicle 80 AZ13032174 % baseline % baseline 150 80 70 60 60 50 40 40 30 30 20 20 10 10 0 30 60 90 120 150 180 210 240 Time post 1st oral dose (minutes) 50 mg/kg dose at t=0 minutes 150 mg/kg dose at t = 180 minutes Vehicle AZ13032174 70 50 0 -120 -90 -60 -30 35 Vehicle AZDXXXX 0 -120 -90 -60 -30 0 30 60 90 120 150 180 210 240 Time post 1st oral dose (minutes) 50 mg/kg dose at t=0 minutes 150 mg/kg dose at t = 180 minutes Case study #2: Value of multiparametric analyses …EEG effects precede CV collapse spike & wave continuous seizure 600 interictal activity 550 176 500 151 101 beats/min 400 76 350 300 250 200 150 100 50 0 -60 0 60 51 50 45 40 35 30 25 20 15 10 5 0 120 150 165 180 195 210 225 240 Time post 1st oral dose (minutes) 50 mg/kg po 36 150 mg/kg po mm Hg or [CMPD X ( M)] 126 450 MABP HR [AZDXXXX] Case study #2: Value of multi-parametric analyses Spike & wave seizure seen before CV effects 37 EEG Spectrogram 38 Variables that can be measured in one ABST animal ABST D. Litwin et al. An Integrative Pharmacological Approach to Radiotelemetry and Blood Sampling in Pharmaceutical Drug Discovery and Safety Assessment Engineering in Medicine and Biology (In review) 39 Summary and conclusions • We have successfully combined automated blood sampling with radio telemetry • The ABST system enables measurement of multiple parameters (e.g., CV, temperature, various biopotential signals, renal, etc) while collecting blood and urine samples in real time • Baclofen PK and PD variables were qualitatively and quantitatively similar in traditional radio telemetry and ABST systems • The ABST system offers unique advantages over traditional approaches including decreased cost, decreased live phase study time, refined data sets and reduced animal use 40 Acknowledgements 41 Dennis Litwin David Lengel Harriet Kamendi Yafei Chen Carlos Fonck Ray Rothstein Michael Quirk Khanh Bui Mary Jo Bock Mary Ann Gorko Beth Bell Chengwei Fang Jean-Pierre Valentin Silvana Lindgren David Brott Lindsey Kegelman Patricia Bentley Nicole Gilper Susan Wartel Perry Mills (DSI) Candace Rohde (BASi) Matthew Ruiter (SAI) Andy Andler (SAI) Harlan Laboratories Charles River We want to hear from you! 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