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Length 114 pages
Date published November 2006
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Outlook for Predictive Safety Technologies
Hermann A.M. Mucke, Ph.D.
New Page 1
Chapter 1.
INTRODUCTION
1.1. ADME/Tox: The Cornerstone of Safety Assessments
1.2. Areas of Potential for Improvement of Safety Pharmacology
Chapter 2.
PRECLINICAL SAFETY TESTING AND DRUG DEVELOPMENT COSTS
2.1. Unexpected Toxicity: A Constant Source of Attrition to Pharmaceutical Productivity
2.2. Complex Drug Actions Cause Complex Failures
2.3. A Savings Scenario for a Mid-Sized Drug Developer
2.4. Cutting Back on Research Animal Use
Chapter 3.
ASPECTS OF DRUG SAFETY CONCERNS
3.1. Relative Drug Safety, Not Absolute Toxicity, is the Issue
3.2. Toxicity vs. Side Effects
3.3. The Objective for Predictive Safety Testing
3.4. Mutagenicity and Reproductive Toxicity
3.5. Drug-Drug Interactions and Metabolic Poisoning
3.6. High-Throughput Testing: A Challenge for Predictive Safety Assessments
3.7. Knockout Safety Tests with Essentially Unknown Positive Predictive Value
Chapter 4.
PREDICTIVE SAFETY TOOLS AND TECHNOLOGIES
4.1. Toxicogenomics
A New Dynamic
4.2. High-Content Cell-Based Screening for Safety Parameters
HCS for General Aspects of Drug Safety
Rat and Human Hepatocytes
Cell Models for Modulation of Cardiac Function
In Vitro Nephrotoxicity Evaluation Using Primary Human Kidney Cells
HCS for Assessing Hematology Toxicity
HCS for Genotoxicity Profiling
Biochips as Solid-State Biosensors for Toxicity and Mutagenicity
4.3. Tissue Histology and Tissue Proteomics: Creating Powerful New Tools from Old Ones
Pioneering Efforts in Histopathology
NeuroScience Associates
HistoRX
Phase I Molecular Toxicology
4.4. Metabolite Profiling and Metabonomics As a Tool for Toxicity Prediction
Metabolite Profiling
Predicting Drug Interactions from In Vitro Metabolic Data
Predicting Cytochrome P450 Interactions and Inhibition
Pharmaco-Metabolomics
4.5. Animal Models
The Zebrafish: An Intriguing Vertebrate Model for Toxicity Testing
Rodents Tailored for Predictive Toxicology
Isogenic Rat Panels
Mice Under Realistic Stress Conditions
Transgenic Animals for Carcinogenicity Testing
Unconventional Animal Models
4.6. In Silico Approaches to Toxicity and Carcinogenicity
The ToxML Format: A Platform for Toxicity Data Exchange
Structure-Based Prediction of Hepatotoxicity
In Silico Identification of Compounds at Risk for Inducing Cardiac Arrythmia
Other In Silico Toxicity Prediction Models
Commercial Software Packages and Services
Chapter 5.
SAFETY SIGNALS FOR BIOTECH DRUG CANDIDATES: AN EMERGING FIELD
5.1. Cases in Point
5.2. Predictive Safety Testing and Regulatory Authorities
The Predictive Safety Testing Consortium: A Spin-Off from the Critical Path Initiative
Voluntary Genomics Data Submissions: An Exercise for the Future
The FDA s Intramural Biomarker Program
5.3. The European Innovative Medicines Initiative
5.4. A Synopsis of Facts and Perspectives for Predictive Safety Testing Approaches
Chapter 6.
INTERIVEWS WITH EXPERTS IN THE PREDICTIVE SAFETY TESTING FIELD
Felix W. Frueh, PhD, US Food and Drug Administration
Joseph F. Contrera, PhD, US Food and Drug Administration
Donald Halbert, PhD, Iconix Biosciences
D. Lansing Taylor, PhD, Cellumen
Michael Milburn, PhD, Metabolon
Patricia McGrath, MBA, Phylonix
Paul Stroobant, PhD, HistoRx
Peter-Jan van Doorn, MD, MBA, MDS Pharma Services
Manfred Windisch, PhD, JSW Research
APPENDIX
A WEB SURVEY OF INDUSTRY EXPERTS HANDLING OR DECIDING PREDICTIVE SAFETY TESTING
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