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A comprehensive guide to cutting-edge tools in ADME research
The last decade has seen tremendous progress in the development of analytical techniques such as mass spectrometry and molecular biology tools, resulting in important advances in drug discovery, particularly in the area of absorption, distribution, metabolism, and excretion (ADME).
ADME-Enabling Technologies in Drug Design and Development focuses on the current state of the art in the field, presenting a comprehensive review of the latest tools for generating ADME data in drug discovery. It examines the broadest possible range of available technologies, giving readers the information they need to choose the right tool for a given application, a key requisite for obtaining favorable results in a timely fashion for regulatory filings. With over thirty contributed chapters by an international team of experts, the book provides:
A thorough examination of current tools, covering both electronic/mechanical technologies and biologically based ones
Coverage of applications for each technology, including key parameters, optimal conditions for intended results, protocols, and case studies
Detailed discussion of emerging tools and techniques, from stem cells and genetically modified animal models to imaging technologies
Numerous figures and diagrams throughout the text
Scientists and researchers in drug metabolism, pharmacology, medicinal chemistry, pharmaceutics, toxicology, and bioanalytical science will find ADME-Enabling Technologies in Drug Design and Development an invaluable guide to the entire drug development process, from discovery to regulatory issues.
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Veröffentlichungsjahr: 2012
Table of Contents
Cover
Title page
Copyright page
FOREWORD
PREFACE
CONTRIBUTORS
PART A: ADME: OVERVIEW AND CURRENT TOPICS
1 REGULATORY DRUG DISPOSITION AND NDA PACKAGE INCLUDING MIST
1.1 INTRODUCTION
1.2 NONCLINICAL OVERVIEW
1.3 PK
1.4 ABSORPTION
1.5 DISTRIBUTION
1.6 METABOLISM
1.7 EXCRETION
1.8 IMPACT OF METABOLISM INFORMATION ON LABELING
1.9 CONCLUSIONS
2 OPTIMAL ADME PROPERTIES FOR CLINICAL CANDIDATE AND INVESTIGATIONAL NEW DRUG (IND) PACKAGE
2.1 INTRODUCTION
2.2 NCE AND INVESTIGATIONAL NEW DRUG (IND) PACKAGE
2.3 ADME OPTIMIZATION
2.4 ADME OPTIMIZATION FOR CNS DRUGS
2.5 SUMMARY
3 DRUG TRANSPORTERS IN DRUG INTERACTIONS AND DISPOSITION
3.1 INTRODUCTION
3.2 ABC TRANSPORTERS
3.3 SLC TRANSPORTERS
3.4 IN VITRO ASSAYS IN DRUG DEVELOPMENT
3.5 CONCLUSIONS AND PERSPECTIVES
4 PHARMACOLOGICAL AND TOXICOLOGICAL ACTIVITY OF DRUG METABOLITES
4.1 INTRODUCTION
4.2 ASSESSMENT OF POTENTIAL FOR ACTIVE METABOLITES
4.3 ASSESSMENT OF THE POTENTIAL TOXICOLOGY OF METABOLITES
4.4 SAFETY TESTING OF DRUG METABOLITES
4.5 SUMMARY
5 IMPROVING THE PHARMACEUTICAL PROPERTIES OF BIOLOGICS IN DRUG DISCOVERY: UNIQUE CHALLENGES AND ENABLING SOLUTIONS
5.1 INTRODUCTION
5.2 PHARMACOKINETICS
5.3 METABOLISM AND DISPOSITION
5.4 IMMUNOGENICITY
5.5 TOXICITY AND PRECLINICAL ASSESSMENT
5.6 COMPARABILITY
5.7 CONCLUSIONS
6 CLINICAL DOSE ESTIMATION USING PHARMACOKINETIC/PHARMACODYNAMIC MODELING AND SIMULATION
6.1 INTRODUCTION
6.2 BIOMARKERS IN PK AND PD
6.3 MODEL-BASED CLINICAL DRUG DEVELOPMENT
6.4 FIRST-IN-HUMAN DOSE
6.5 EXAMPLES
6.6 DISCUSSION AND CONCLUSION
7 PHARMACOGENOMICS AND INDIVIDUALIZED MEDICINE
7.1 INTRODUCTION
7.2 INDIVIDUAL VARIABILITY IN DRUG THERAPY
7.3 WE ARE ALL HUMAN VARIANTS
7.4 ORIGINS OF INDIVIDUAL VARIABILITY IN DRUG THERAPY
7.5 GENETIC POLYMORPHISM OF DRUG TARGETS
7.6 GENETIC POLYMORPHISM OF CYTOCHROME P450s
7.7 GENETIC POLYMORPHISM OF OTHER DRUG METABOLIZING ENZYMES
7.8 GENETIC POLYMORPHISM OF TRANSPORTERS
7.9 PHARMACOGENOMICS AND DRUG SAFETY
7.10 WARFARIN PHARMACOGENOMICS: A MODEL FOR INDIVIDUALIZED MEDICINE
7.11 CAN INDIVIDUALIZED DRUG THERAPY BE ACHIEVED?
7.12 CONCLUSIONS
DISCLAIMER
CONTACT INFORMATION
8 OVERVIEW OF DRUG METABOLISM AND PHARMACOKINETICS WITH APPLICATIONS IN DRUG DISCOVERY AND DEVELOPMENT IN CHINA
8.1 INTRODUCTION
8.2 PK–PD TRANSLATION RESEARCH IN NEW DRUG RESEARCH AND DEVELOPMENT
8.3 ABSORPTION, DISTRIBUTION, METABOLISM, EXCRETION, AND TOXICITY (ADME/T) STUDIES IN DRUG DISCOVERY AND EARLY STAGE OF DEVELOPMENT
8.4 DRUG TRANSPORTERS IN NEW DRUG RESEARCH AND DEVELOPMENT
8.5 DRUG METABOLISM AND PK STUDIES FOR NEW DRUG RESEARCH AND DEVELOPMENT
8.6 STUDIES ON THE PK OF BIOTECHNOLOGICAL PRODUCTS
8.7 STUDIES ON THE PK OF TCMs
8.8 PK AND BIOAVAILABILITY OF NANOMATERIALS
PART B: ADME SYSTEMS AND METHODS
9 TECHNICAL CHALLENGES AND RECENT ADVANCES OF IMPLEMENTING COMPREHENSIVE ADMET TOOLS IN DRUG DISCOVERY
9.1 INTRODUCTION
9.2 “A” IS THE FIRST PHYSIOLOGICAL BARRIER THAT A DRUG FACES
9.3 “M” IS FREQUENTLY CONSIDERED PRIOR TO DISTRIBUTION DUE TO THE “FIRST-PASS” EFFECT
9.4 “D” IS CRITICAL FOR CORRECTLY INTERPRETING PK DATA
9.5 “E”: THE ELIMINATION OF DRUGS SHOULD NOT BE IGNORED
9.6 METABOLISM- OR TRANSPORTER-RELATED SAFETY CONCERNS
9.7 REVERSIBLE CYP INHIBITION
9.8 MECHANISM-BASED (TIME-DEPENDENT) CYP INHIBITION
9.9 CYP INDUCTION
9.10 REACTIVE METABOLITES
9.11 CONCLUSION AND OUTLOOK
ACKNOWLEDGMENTS
10 PERMEABILITY AND TRANSPORTER MODELS IN DRUG DISCOVERY AND DEVELOPMENT
10.1 INTRODUCTION
10.2 PERMEABILITY MODELS
10.3 TRANSPORTER MODELS
10.4 INTEGRATED PERMEABILITY–TRANSPORTER SCREENING STRATEGY
11 METHODS FOR ASSESSING BLOOD–BRAIN BARRIER PENETRATION IN DRUG DISCOVERY
11.1 INTRODUCTION
11.2 COMMON METHODS FOR ASSESSING BBB PENETRATION
11.3 METHODS FOR DETERMINATION OF FREE DRUG CONCENTRATION IN THE BRAIN
11.4 METHODS FOR BBB PERMEABILITY
11.5 METHODS FOR PGP EFFLUX TRANSPORT
11.6 CONCLUSIONS
12 TECHNIQUES FOR DETERMINING PROTEIN BINDING IN DRUG DISCOVERY AND DEVELOPMENT
12.1 INTRODUCTION
12.2 OVERVIEW
12.3 EQUILIBRIUM DIALYSIS
12.4 ULTRACENTRIFUGATION
12.5 ULTRAFILTRATION
12.6 MICRODIALYSIS
12.7 SPECTROSCOPY
12.8 CHROMATOGRAPHIC METHODS
12.9 SUMMARY DISCUSSION
ACKNOWLEDGMENT
13 REACTION PHENOTYPING
13.1 INTRODUCTION
13.2 INITIAL CONSIDERATIONS
13.3 CYP REACTION PHENOTYPING
13.4 NON-P450 REACTION PHENOTYPING
13.5 UGT CONJUGATION REACTION PHENOTYPING
13.6 REACTION PHENOTYPING FOR OTHER CONJUGATION REACTIONS
13.7 INTEGRATION OF REACTION PHENOTYPING AND PREDICTION OF DDI
13.8 CONCLUSION
14 FAST AND RELIABLE CYP INHIBITION ASSAYS
14.1 INTRODUCTION
14.2 CYP INHIBITION ASSAYS IN DRUG DISCOVERY AND DEVELOPMENT
14.3 HLM REVERSIBLE CYP INHIBITION ASSAY USING INDIVIDUAL SUBSTRATES
14.4 HLM RI ASSAY USING MULTIPLE SUBSTRATES (COCKTAIL ASSAYS)
14.5 TIME-DEPENDENT CYP INHIBITION ASSAY
14.6 SUMMARY AND FUTURE DIRECTIONS
15 TOOLS AND STRATEGIES FOR THE ASSESSMENT OF ENZYME INDUCTION IN DRUG DISCOVERY AND DEVELOPMENT
15.1 INTRODUCTION
15.2 UNDERSTANDING INDUCTION AT THE GENE REGULATION LEVEL
15.3 IN SILICO APPROACHES
15.4 IN VITRO APPROACHES
15.5 IN VITRO HEPATOCYTE AND HEPATOCYTE-LIKE MODELS
15.6 EXPERIMENTAL TECHNIQUES FOR THE ASSESSMENT OF INDUCTION IN CELL-BASED ASSAYS
15.7 MODELING AND SIMULATION AND ASSESSMENT OF RISK
15.8 ANALYSIS OF INDUCTION IN PRECLINICAL SPECIES
15.9 ADDITIONAL CONSIDERATIONS
15.10 CONCLUSION
16 ANIMAL MODELS FOR STUDYING DRUG METABOLIZING ENZYMES AND TRANSPORTERS
16.1 INTRODUCTION
16.2 ANIMAL MODELS OF DMEs
16.3 ANIMAL MODELS OF DRUG TRANSPORTERS
16.4 CONCLUSIONS AND THE PATH FORWARD
ACKNOWLEDGMENTS
17 MILK EXCRETION AND PLACENTAL TRANSFER STUDIES
17.1 INTRODUCTION
17.2 COMPOUND CHARACTERISTICS THAT AFFECT PLACENTAL TRANSFER AND LACTEAL EXCRETION
17.3 STUDY DESIGN
17.4 CONCLUSIONS
18 HUMAN BILE COLLECTION FOR ADME STUDIES
18.1 INTRODUCTION
18.2 PHYSIOLOGY
18.3 UTILITY OF THE BILIARY DATA
18.4 BILE COLLECTION TECHNIQUES
18.5 FUTURE SCOPE
ACKNOWLEDGMENT
PART C: ANALYTICAL TECHNOLOGIES
19 CURRENT TECHNOLOGY AND LIMITATION OF LC-MS
19.1 INTRODUCTION
19.2 SAMPLE PREPARATION
19.3 CHROMATOGRAPHY SEPARATION
19.4 MASS SPECTROMETRIC ANALYSIS
19.5 IONIZATION
19.6 MS MODE VERSUS MS/MS OR MSn MODE
19.7 MASS SPECTROMETERS: SINGLE AND TRIPLE QUADRUPOLE MASS SPECTROMETERS
19.8 MASS SPECTROMETERS: THREE-DIMENSIONAL AND LINEAR ION TRAPS
19.9 MASS SPECTROMETERS: TIME-OF-FLIGHT MASS SPECTROMETERS
19.10 MASS SPECTROMETERS: FOURIER TRANSFORM AND ORBITRAP MASS SPECTROMETERS
19.11 ROLE OF LC-MS IN QUANTITATIVE IN VITRO ADME STUDIES
19.12 QUANTITATIVE IN VIVO ADME STUDIES
19.13 METABOLITE IDENTIFICATION
19.14 TISSUE IMAGING BY MS
19.15 CONCLUSIONS AND FUTURE DIRECTIONS
20 APPLICATION OF ACCURATE MASS SPECTROMETRY FOR METABOLITE IDENTIFICATION
20.1 INTRODUCTION
20.2 HIGH-RESOLUTION/ACCURATE MASS SPECTROMETERS
20.3 POSTACQUISITION DATA PROCESSING
20.4 UTILITIES OF HIGH-RESOLUTION/ACCURATE MASS SPECTROMETRY (HRMS) IN METABOLITE IDENTIFICATION
20.5 CONCLUSION
21 APPLICATIONS OF ACCELERATOR MASS SPECTROMETRY (AMS)
21.1 INTRODUCTION
21.2 BIOANALYTICAL METHODOLOGY
21.3 AMS APPLICATIONS IN MASS BALANCE/METABOLITE PROFILING
21.4 AMS APPLICATIONS IN PHARMACOKINETICS
21.5 CONCLUSION
22 RADIOACTIVITY PROFILING
22.1 INTRODUCTION
22.2 RADIOACTIVITY DETECTION METHODS
22.3 AMS
22.4 INTRACAVITY OPTOGALVANIC SPECTROSCOPY
22.5 SUMMARY
ACKNOWLEDGMENTS
23 A ROBUST METHODOLOGY FOR RAPID STRUCTURE DETERMINATION OF MICROGRAM-LEVEL DRUG METABOLITES BY NMR SPECTROSCOPY
23.1 INTRODUCTION
23.2 METHODS
23.3 TRAZODONE AND ITS METABOLISM
23.4 TRAZODONE METABOLITE GENERATION AND NMR SAMPLE PREPARATION
23.5 METABOLITE CHARACTERIZATION
23.6 COMPARISON WITH FLOW PROBE AND LC-NMR METHODS
23.7 METABOLITE QUANTIFICATION BY NMR
23.8 CONCLUSION
24 SUPERCRITICAL FLUID CHROMATOGRAPHY
24.1 INTRODUCTION
24.2 BACKGROUND
24.3 SFC INSTRUMENTATION AND GENERAL CONSIDERATIONS
24.4 SFC IN DRUG DISCOVERY AND DEVELOPMENT
24.5 FUTURE PERSPECTIVE
25 CHROMATOGRAPHIC SEPARATION METHODS
25.1 INTRODUCTION
25.2 LC SEPARATION TECHNIQUES
25.3 SAMPLE PREPARATION TECHNIQUES
25.4 HIGH-SPEED LC-MS ANALYSIS
25.5 ORTHOGONAL SEPARATION
25.6 CONCLUSIONS AND PERSPECTIVES
26 MASS SPECTROMETRIC IMAGING FOR DRUG DISTRIBUTION IN TISSUES
26.1 INTRODUCTION
26.2 MSI INSTRUMENTATION
26.3 MSI WORKFLOW
26.4 APPLICATIONS OF MSI FOR IN SITU ADMET TISSUE STUDIES
26.5 CONCLUSIONS
27 APPLICATIONS OF QUANTITATIVE WHOLE-BODY AUTORADIOGRAPHY (QWBA) IN DRUG DISCOVERY AND DEVELOPMENT
27.1 INTRODUCTION
27.2 EQUIPMENT AND MATERIALS
27.3 STUDY DESIGNS
27.4 QWBA EXPERIMENTAL PROCEDURES
27.5 APPLICATIONS OF QWBA
27.6 LIMITATIONS OF QWBA
PART D: NEW AND RELATED TECHNOLOGIES
28 GENETICALLY MODIFIED MOUSE MODELS IN ADME STUDIES
28.1 INTRODUCTION
28.2 DRUG METABOLIZING ENZYME GENETICALLY MODIFIED MOUSE MODELS
28.3 DRUG TRANSPORTER GENETICALLY MODIFIED MOUSE MODELS
28.4 XENOBIOTIC RECEPTOR GENETICALLY MODIFIED MOUSE MODELS
28.5 CONCLUSIONS
29 PLURIPOTENT STEM CELL MODELS IN HUMAN DRUG DEVELOPMENT
29.1 INTRODUCTION
29.2 HUMAN DRUG METABOLISM AND COMPOUND ATTRITION
29.3 HUMAN HEPATOCYTE SUPPLY
29.4 hESCs
29.5 hESC HLC DIFFERENTIATION
29.6 iPSCs
29.7 CYP P450 EXPRESSION IN STEM CELL-DERIVED HLCs
29.8 TISSUE CULTURE MICROENVIRONMENT
29.9 CULTURE DEFINITION FOR DERIVING HLCs FROM STEM CELLS
29.10 CONCLUSION
30 RADIOSYNTHESIS FOR ADME STUDIES
30.1 BACKGROUND AND GENERAL REQUIREMENTS
30.2 RADIOSYNTHESIS STRATEGIES AND GOALS
30.3 PREPARATION AND SYNTHESIS
30.4 ANALYSIS AND PRODUCT RELEASE
30.5 DOCUMENTATION
30.6 SUMMARY
31 FORMULATION DEVELOPMENT FOR PRECLINICAL IN VIVO STUDIES
31.1 INTRODUCTION
31.2 FORMULATION CONSIDERATION FOR THE INTRAVENOUS ROUTE
31.3 FORMULATION CONSIDERATION FOR THE ORAL, SUBCUTANEOUS, AND INTRAPERITONEAL ROUTES
31.4 SPECIAL CONSIDERATION FOR THE INTRAPERITONEAL ROUTE
31.5 SOLUBILITY ENHANCEMENT
31.6 pH MANIPULATION
31.7 COSOLVENTS UTILIZATION
31.8 COMPLEXATION
31.9 AMORPHOUS FORM APPROACH
31.10 IMPROVING THE DISSOLUTION RATE
31.11 FORMULATION FOR TOXICOLOGY STUDIES
31.12 TIMING AND ASSESSMENT OF PHYSICOCHEMICAL PROPERTIES
31.13 CRITICAL ISSUES WITH SOLUBILITY AND STABILITY
31.14 GENERAL AND QUICK APPROACH FOR FORMULATION IDENTIFICATION AT THE EARLY DISCOVERY STAGES
32 IN VITRO TESTING OF PROARRHYTHMIC TOXICITY
32.1 OBJECTIVES, RATIONALE, AND REGULATORY COMPLIANCE
32.2 STUDY SYSTEM AND DESIGN
32.3 GOOD LABORATORY PRACTICE (GLP)-hERG STUDY
32.4 MEDIUM-THROUGHPUT ASSAYS USING PATCHXPRESS AS A CASE STUDY
32.5 NONFUNCTIONAL AND FUNCTIONAL ASSAYS FOR hERG TRAFFICKING
32.6 CONCLUSIONS AND THE PATH FORWARD
33 TARGET ENGAGEMENT FOR PK/PD MODELING AND TRANSLATIONAL IMAGING BIOMARKERS
33.1 INTRODUCTION
33.2 APPLICATION OF LC-MS/MS TO ASSESS TARGET ENGAGEMENT
33.3 LC-MS/MS-BASED RO STUDY DESIGNS AND THEIR CALCULATIONS
33.4 LEVERAGING TARGET ENGAGEMENT DATA FOR DRUG DISCOVERY FROM AN ABSORPTION, DISTRIBUTION, METABOLISM, AND EXCRETION (ADME) PERSPECTIVE
33.5 APPLICATION OF LC-MS/MS TO DISCOVERY NOVEL TRACERS
33.6 NONINVASIVE TRANSLATIONAL IMAGING
33.7 CONCLUSIONS AND THE PATH FORWARD
34 APPLICATIONS OF iRNA TECHNOLOGIES IN DRUG TRANSPORTERS AND DRUG METABOLIZING ENZYMES
34.1 INTRODUCTION
34.2 EXPERIMENTAL DESIGNS
34.3 APPLICATIONS OF RNAi IN DRUG METABOLIZING ENZYMES AND TRANSPORTERS
34.4 CONCLUSIONS
ACKNOWLEDGMENT
APPENDIX DRUG METABOLIZING ENZYMES AND BIOTRANSFORMATION REACTIONS
A.1 INTRODUCTION
A.2 OXIDATIVE ENZYMES
A.3 REDUCTIVE ENZYMES
A.4 HYDROLYTIC ENZYMES
A.5 CONJUGATIVE (PHASE II) DMEs
A.6 FACTORS AFFECTING DME ACTIVITIES
A.7 BIOTRANSFORMATION REACTIONS
A.8 SUMMARY
ACKNOWLEDGMENT
Index
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Library of Congress Cataloging-in-Publication Data:
ADME-enabling technologies in drug design and development / edited by Donglu
Zhang, Sekhar Surapaneni.
p. ; cm.
Includes bibliographical references and index.
ISBN 978-0-470-54278-1 (cloth)
I. Zhang, Donglu. II. Surapaneni, Sekhar.
[DNLM: 1. Drug Design. 2. Drug Evaluation, Preclinical. 3. Pharmaceutical
Preparations–metabolism. 4. Pharmacokinetics. 5. Technology,
Pharmaceutical–methods. QV 744]
LC-classification not assigned
615.1'9–dc23
2011030352
ISBN: 9780470542781
FOREWORD
The discovery, design, and development of drugs is a complex endeavor of optimizing on three axes: efficacy, safety, and druggability or drug-likeness. Each of these axes is a potential cause of attrition as a new molecular entity progresses through the many phases of drug development. Out of the 5000–10,000 compounds evaluated in discovery efforts, only 250 enter preclinical testing, 5 enter clinical trials, and only 1 is granted approval by the Food and Drug Administration at a cost that is estimated between US$1.3–1.6 billion [1]. Efforts to increase innovation, decrease attrition, and lower the cost of drug development are the focus of the pharmaceutical industry and regulatory agencies alike. Advances have been made in some disciplines such as drug metabolism and pharmacokinetics (PK), particularly in the area of absorption, distribution, metabolism, and excretion (ADME) studies. For example, a root cause analysis of clinical attrition [2] showed that unacceptable PK or bioavailability accounted for 40% of clinical attrition in the 1990s but within a decade had been reduced to less than 10%, in large part by the identification and mitigation of risks associated with ADME/PK properties earlier in the drug discovery process. This was enabled by the introduction of automated high- and medium-throughput screening of lead optimization candidates in the discovery space. While impressive, this improvement alone is not sufficient to reverse the rising costs and long development cycle times. It is, however, a step in the right direction. As the pharmaceutical industry has evolved, the focus of ADME studies has shifted from studies conducted primarily in support of regulatory submissions to playing a significant role in the earliest stages of the discovery phase of drug development. The engagement of ADME scientists in the discovery space has allowed drug candidates to progress in the development pipeline to the next milestone with greater probability of success because desirable characteristics, such as good aqueous solubility for absorption, high bioavailability, and balanced clearance, have been engineered into the molecules, and liabilities such as high first-pass metabolism and unacceptable drug–drug interactions potential have been engineered out.
The history of the discipline of drug metabolism and PK and ADME studies, with its roots in organic chemistry and pharmacology, has been well chronicled [3–8]. The rapid advancement of the discipline over the past 50 years is clearly linked to the development of ever-increasingly sophisticated analytical tools and the growth of the pharmaceutical industry. The vast number of tools at the disposal of drug metabolism scientists has transformed the study of xenobiotics from descriptive to quantitative, in vivo to the molecular levels, and from simply characterizing to predicting ADME properties.
It would be beyond the scope of this introduction to provide a historical accounting of the numerous advances of technology that have shaped the field. There are, however, three noteworthy milestones in the evolution of the discipline that merit mention: the use of radioisotopes in metabolism and distribution studies; the discovery of the superfamily of drug metabolizing enzymes, the cytochrome P450s; and the revolutionizing impact of mass spectrometry as both a qualitative and quantitative tool.
With the discovery of a new radioisotope of carbon, 14C, by Martin and Ruben [9], this powerful analytical tool enabled the first radiolabeled studies that elucidated the metabolic pathways and the disposition of xenobiotics in rats [10, 11]. The use of radiotracers went on to become an indispensable tool in biochemical pathway elucidation and in drug disposition studies. While 14C-labeled compounds are predominantly used in in vivo studies to fulfill regulatory requirement, the development of new reagents and techniques in tritium labeling now have allowed stereo- and site-selective synthesis with high specific activity, making these labeled molecule readily available for use in the earliest phases of drug discovery [12, 13].
The discovery of the cytochrome P450s and their role in the metabolism of endo- and xenobiotics opened a field of science that continues to grow and have a tremendous impact on the development of drugs and the practice of medicine. The pioneering research in this field has been well documented by Estabrook, a key contributor to our current understanding of this superfamily of enzymes [14]. The magnitude of research on the cytochrome P450s has exploded since 2003 (from greater than 2000 literature references to over 67,000 citations, as reflected by searching the PubMed database in 2011) The expanding knowledge of the cytochrome P450s has impacted early discovery efforts via assays for metabolic stability, species comparison in the selection of the most relevant species for toxicology studies, identification of the primary enzymes involved in the metabolism of a candidate drug, and potential polymorphic or drug–drug interaction liabilities of a candidate drug. The influence of the research on the cytochrome P450s also reaches into the clinical realm of drug development in the need for and design of clinical drug–drug interaction trials as well as in the regulatory guidance on drug interactions [15, 16].
No single analytical technique has had a more powerful effect on drug development than mass spectrometry, with an impact on multiple disciplines, such as chemistry, biology, and ADME [17]. An excellent review of mass spectrometry and its applications in drug metabolism and PK has recently been published [18] Mass spectrometry moved from the being a specialized tool largely used in structure identification to a “routine,” but albeit powerful, analytical technology used across the pharmaceutical industry and academia alike. The selectivity, sensitivity, and speed of mass spectrometry enabled much of the success seen with high-throughput screening and advances in bioanalytical analysis in a multitude of biological matrices in both PK and biotransformation studies.
The ADME scientist of today is fortunate to have an arsenal of tools at his or her disposal, many of which will be expanded upon in this book. The advances in technologies often have implications in adjacent technologies that further the discipline of drug metabolism and PK and allow an integrated approach to solving problems and advancing drug candidates through the phases of drug development.
LISA A. SHIPLEY
REFERENCES
1. Burrill & Company. Analysis for Pharmaceutical Research and Manufacturers of America; and Pharmaceutical Research and Manufacturers of America, PhRMA Annual Member Survey (Washington, DC: PhRMA, 2010). Citations at http://www.phrma.org/research/infographics, 2010.
2. Kola I, Landis J (2004) Can the pharmaceutical industry reduce attrition rates? Nature Reviews. Drug Discovery 3:711–715.
3. Conti A, Bickel MH (1977) History of drug metabolism: Discoveries of the major pathways in the 19th century. Drug Metabolism Reviews 6(1):1–50.
4. Bachmann C, Bickel MH (1985) History of drug metabolism: The first half of the 20th century. Drug Metabolism Reviews 16(3):185–253.
5. Murphy PJ (2001) Xenobiotic metabolism: A look from the past to the future. Drug Metabolism and Disposition 29:779–780.
6. Murphy PJ (2008) The development of drug metabolism research as expressed in the publications of ASPET: Part 1, 1909–1958. Drug Metabolism and Disposition 36:1–5.
7. Murphy PJ (2008) The development of drug metabolism research as expressed in the publications of ASPET: Part 2, 1959–1983. Drug Metabolism and Disposition 36:981–985.
8. Murphy PJ (2008) The development of drug metabolism research as expressed in the publications of ASPET: Part 3, 1984–2008. Drug Metabolism and Disposition 36:1977–1982.
9. Ruben S, Kamen MD (1941) Long-lived radioactive carbon: C14. Physical Review 59:349–354.
10. Elliott HW, Chang FNH, Abdou IA, Anderson HH (1949) The distribution of radioactivity in rats after administration of C14 labeled methadone. The Journal of Pharmacology and Experimental Therapeutics 95:494–501.
11. Morris HP, Weisburger JH, Weisburger EK (1950) The distribution of radioactivity following the feeding of carbon 14-labeled 2-acetylaminofluorene in rats. Cancer Research 10:620–634.
12. Saljoughian M (2002) Synthetic tritium labeling: Reagents and methodologies. Synthesis 13:1781–1801.
13. Voges R, Heys JR, Moenius T Preparation of Compounds Labeled with Tritium and Carbon -14, Chichester, U.K.: John Wiley and Sons, 2009.
14. Estabrook RW (2003) A passion for P450’s (remembrances of the early history of research on cytochrome P450). Drug Metabolism and Disposition 31:1461–1473.
15. Guideline on the Investigation of Drug Interactions (EMA/CHMP/EWP/125211/2010). (2010) http://www.ema.europa.eu/ema/pages/includes/document/open_document.jsp?webContentId=WC500090112.
16. Guidance for Industry: In Vivo Drug Metabolism/Drug Interaction Studies-Study Design, Data Analysis, and Recommendations for Dosing and Labeling. (1999) http://www.fda.gov/cder/guidance/index.htm.
17. Ackermann BL, Berna MJ, Eckstein JA, Ott LW, Chadhary AK (2008) Current applications of liquid chromatography/mass spectrometry in pharmaceutical discovery after a decade of innovation. Annual Review Of Analytical Chemistry 1:357–396.
18. Ramanathan R, ed. Mass Spectrometry in Drug Metabolism and Pharmacokinetics. Hoboken, NJ: John Wiley and Sons, 2009.
PREFACE
Understanding and characterizing absorption, metabolism, distribution, and excretion (ADME) properties of new chemical entities and drug candidates is an integral part of drug design and development. ADME is the discipline that is involved in the entire process of drug development, right from discovery, lead optimization, and clinical drug candidate selection through drug development and regulatory process. The complexity of ADME studies in drug discovery and development requires a drug metabolism scientist to know all available technologies in order to choose the right experimental approach and technology for solving the problems in a timely manner. During the last decade, tremendous progress has been made in wide array of technologies including mass spectrometry and molecular biology tools, and these enabling technologies are widely employed by ADME scientists. The generation of ADME data to support discovery and development teams is a gated process and timely generation of data to make right decisions is of paramount importance. Given the complexity of the drug discovery and development process, right techniques and tools should be used to generate timely data that is useful for decision making and regulatory filing. This requires an understanding of not only the breadth and depth of ADME technologies but also their limitation and pitfalls so scientists can make appropriate choices in employing these tools. A book on integrated enabling technologies will not only be useful to drug metabolism scientists but also could be a very helpful reference for scientists from the fields of pharmacology, medicinal chemistry, pharmaceutics, toxicology, and bioanalytical sciences in academia and industry.
This book is divided into four main sections. Part A provides the reader with an overview of ADME concepts and current topics including ADME and transporter studies in drug discovery and development, active and toxic metabolites, modeling and simulation, and developing biologics and individual medicines. Part B describes the ADME systems and methods; these include ADME screening technologies, permeability and transporter studies, distribution across specialized barriers such as blood–brain barrier (BBB) or placenta, cytochrome P450 (CYP) inhibition, induction, phenotyping, animal models for studying metabolism and transporters, and bile collection. Part C of the book discusses analytical tools including liquid chromatography-mass spectrometry (LC-MS) technologies for quantitation, metabolite identification and profiling, accelerator mass spectrometry (AMS) and radioprofiling, nuclear magnetic resonance (NMR), supercritical fluid chromatography (SFC) and other separation techniques, mass spectrometric imaging, and quantitative whole-body autoradiography (QWBA) tissue distribution techniques. Part D presents new and evolving technologies such as stem cells, genetically modified animal models, and siRNA techniques in ADME studies. Other techniques included in this section are target imaging technologies, radiosynthesis, formulation, and testing of cardiovascular toxicity potential.
We would like to thank our colleagues who are the experts and leading practitioners of the techniques described in the book for their contributions. We hope that this book is useful and serves as a quick reference to all drug hunters and to all those who are new to the discipline of ADME.
DONGLU ZHANG
SEKHAR SURAPANENI
CONTRIBUTORS
Suresh K. Balani, DMPK/NCDS, Millennium: The Takeda Oncology Company, Cambridge, MA, USA
Praveen V. Balimane, Bristol-Myers Squibb, Princeton, NJ, USA
Vanessa N. Barth, Translational Sciences, Eli Lilly and Company, Indianapolis, IN, USA
Leslie Bell, Novartis Institutes for BioMedical Research, Cambridge, MA, USA
Rajinder Bhardwaj, DMPK, Chemical Sciences and Pharmacokinetics, Lundbeck Research USA, Paramus, NJ, USA
Catherine L. Booth-Genthe, Respiratory Therapeutic Area Unit, GlaxoSmithKline, King of Prussia, PA, USA
Hong Cai, Bristol-Myers Squibb, Pennington, NJ, USA
Gamini Chandrasena, DMPK, Chemical Sciences and Pharmacokinetics, Lundbeck Research USA, Paramus, NJ, USA
Jiwen Chen, Bristol-Myers Squibb, Pennington, NJ, USA
Saeho Chong, College of Pharmacy, Seoul National University, Seoul, Korea
Lisa J. Christopher, Bristol-Myers Squibb, Princeton, NJ, USA
Jun Dai, Bristol-Myers Squibb, Princeton, NJ, USA
Li Di, Pfizer Global Research and Development, Groton, CT, USA
Ashok Dongre, Bristol-Myers Squibb, Pennington, NJ, USA
Dieter M. Drexler, Bristol-Myers Squibb, Wallingford, CT, USA
Richard W. Edom, Janssen Pharmaceutical Companies of Johnson & Johnson, Raritan, NJ, USA
Charles S. Elmore, Radiochemistry, AstraZeneca, Mölndal, Sweden
Adrian J. Fretland, Nonclinical Safety, Early ADME Department, Roche, Nutley, NJ, USA
Timothy J. Garrett, Clinical and Translational Science Institute, University of Florida, Gainesville, FL, USA
Lingling Guan, Ricerca Biosciences, Concord, OH, USA
Anshul Gupta, Drug Metabolism and Pharmacokinetics, AstraZeneca, Waltham, MA, USA
Yong-Hae Han, Bristol-Myers Squibb, Princeton, NJ, USA
Imad Hanna, Drug Metabolism and Pharmacokinetics, Novartis Institutes for BioMedical Research, East Hanover, NJ, USA
David C. Hay, MRC Centre for Regenerative Medicine, Edinburgh, UK
Haizheng Hong, College of Oceanography and Environmental Sciences, Xiamen University, Fujian, China
Cornelis E.C.A. Hop, Department of Drug Metabolism and Pharmacokinetics, Genentech, South San Francisco, CA, USA
Matthew Hoffmann, Celgene Corporation, Summit, NJ, USA
Stella Huang, Bristol-Myers Squibb, Wallingford, CT, USA
W. Griffith Humphreys, Bristol-Myers Squibb, Princeton, NJ, USA
Wenying Jian, Johnson & Johnson Pharmaceutical Research & Development, Raritan, NJ, USA
Xi-Ling Jiang, Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
Kim A. Johnson, Bristol-Myers Squibb, Wallingford, CT, USA
Janan Jona, Small Molecule Process and Product Development/Preformulation, Amgen Inc., Thousand Oaks, CA, USA
Elizabeth M. Joshi, Department of Drug Disposition, Lilly Research Laboratories, Indianapolis, IN, USA
Nataraj Kalyanaraman, Pharmacokinetics and Drug Metabolism, Amgen Inc., Thousand Oaks, CA, USA
Jiesheng Kang, Sanofi-Aventis U.S. Inc., Bridgewater, NJ, USA
Edward H. Kerns, Therapeutics for Rare and Neglected Diseases, NIH Center for Translational Therapeutics, Rockville, MD, USA
Yuan-Hon Kiang, Small Molecular Process and Product Development/Preformulation, Amgen Inc., Thousand Oaks, CA, USA
Wing Wah Lam, Janssen Pharmaceutical Companies of Johnson & Johnson, Raritan, NJ, USA
Chun Li, Metabolism and Pharmacokinetics, Genomics Institute of the Novartis Research Foundation, San Diego, CA, USA
Mingxiang Liao, DMPK/NCDS, Millennium: The Takeda Oncology Company, Cambridge, MA, USA
Heng-Keang Lim, Janssen Pharmaceutical Companies of Johnson & Johnson, Raritan, NJ, USA
Zhongping (John) Lin, Frontage Laboratories, Inc. Malvern, PA, USA
Chang-Xiao Liu, State Key Laboratory of Drug Technology and Pharmacokinetics, Tianjin Institute of Pharmaceutical Research, Tianjin, China
Tom Lloyd, Worldwide Clinical Trials Drug Development Solutions Bioanalytical Sciences, Austin, TX, USA
Anthony Y.H. Lu, Department of Chemical Biology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, NJ, USA
Qiang Ma, Receptor Biology Laboratory, Toxicology and Molecular Biology Branch, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, WV, USA
Daniel P. Magparangalan, Covidien, St. Louis, MO, USA
Brad D. Maxwell, Bristol-Myers Squibb, Princeton, NJ, USA
Kaushik Mitra, Merck & Co. Inc., Rahway, NJ, USA
Voon Ong, San Diego, CA, USA
Ryan M. Pelis, Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada
Natalia Penner, Department of Drug Metabolism and Pharmacokinetics, Biogen Idec, Cambridge, MA, USA
Chandra Prakash, Department of Drug Metabolism and Pharmacokinetics, Biogen Idec, Cambridge, MA, USA
Darren L. Reid, Small Molecular Process and Product Development/Preformulation, Amgen Inc., Thousand Oaks, CA, USA
Kevin L. Salyers, Pharmacokinetics and Drug Metabolism, Amgen Inc., Thousand Oaks, CA, USA
Mark Seymour, Xceleron, Heslington, York, UK
Adam Shilling, Incyte Corp, Wilmington, DE, USA
Lisa A. Shipley, Drug Metabolism and Pharmacokinetics, Merck & Co., Inc., West Point, PA, USA
Yue-Zhong Shu, Bristol-Myers Squibb, Princeton, NJ, USA
Jose Silva, Janssen Pharmaceutical Companies of Johnson & Johnson, Raritan, NJ, USA
Matthew D. Silva, Amgen Inc., Thousand Oaks, CA, USA
Sekhar Surapaneni, Drug Metabolism and Pharmacokinetics, Celgene Corporation, Summit, NJ, USA
Adrienne A. Tymiak, Bristol-Myers Squibb, Princeton, NJ, USA
Jianling Wang, Novartis Institutes for BioMedical Research, Cambridge, MA, USA
Lifei Wang, Bristol-Myers Squibb, Princeton, NJ, USA
Xiaomin Wang, Celgene Corporation, Summit, NJ, USA
David B. Wang-Iverson, Bristol-Myers Squibb, Princeton, NJ, USA
Naidong Weng, Janssen Pharmaceutical Companies of Johnson & Johnson Raritan, NJ, USA
Caroline Woodward, Department of Drug Metabolism and Pharmacokinetics, Biogen Idec, Cambridge, MA, USA
Cindy Q. Xia, Biotransformation/DMPK, Drug Safety and Disposition, Millennium: The Takeda Oncology Company, Cambridge, MA, USA
Yang Xu, Pharmacokinetics and Drug Metabolism, Amgen Inc., Thousand Oaks, CA, USA
Ming Yao, Bristol-Myers Squibb, Princeton, NJ, USA
Richard A. Yost, Department of Chemistry, University of Florida, Gainesville, FL, USA
Ai-Ming Yu, Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
Haoyu Zeng, Safety Assessment, Merck Research Laboratories, West Point, PA, USA
Donglu Zhang, Bristol-Myers Squibb, Princeton, NJ, USA
Yingru Zhang, Bristol-Myers Squibb, Princeton, NJ, USA
Zhoupeng Zhang, Merck & Co. Inc., Rahway, NJ, USA
Mingshe Zhu, Bristol-Myers Squibb, Princeton, NJ, USA
Peijuan Zhu, Respiratory Therapeutic Area Unit, GlaxoSmithKline, King of Prussia, PA, USA
PART A: ADME: OVERVIEW AND CURRENT TOPICS
1
REGULATORY DRUG DISPOSITION AND NDA PACKAGE INCLUDING MIST
Sekhar Surapaneni
1.1 INTRODUCTION
Drug metabolism and pharmacokinetics (DMPK) plays an important and integral part in drug discovery and development. In drug discovery, during lead optimization and drug candidate identification, metabolism studies are conducted to screen a large number of compounds with potential liabilities. The emphasis is on generating data efficiently and in a timely fashion related to a compound’s absorption, distribution, metabolism, and excretion (ADME) characteristics. Advances in analytical technologies, drug metabolism, and transporter biology has enabled drug metabolism scientists develop in vitro and in vivo tools to screen a large number of compounds efficiently and incorporate ADME information in lead optimization and identification. This early characterization for metabolic and pharmacokinetic (PK) properties is an essential element of lead optimization and candidate selection [1, 2]. Metabolism studies in the early drug discovery stages often involve evaluating a series of compounds to help identify and select a candidate for further development. The main purposes of these studies are to see if the compound has adequate metabolic stability, has low potential for any drug–drug interactions due to cytochrome P450 (CYP) induction or inhibition, and is not metabolized by polymorphic enzymes (such as CYP2D6) or exclusively by a single enzyme. In addition, the metabolites are characterized to assess if any reactive metabolites of safety concern are generated. Recent survey suggests that the DMPK role in early optimization has resulted in reduced attrition due to PK-related issues from 40% (1990s) to <10% (2000s) [3]. Once the compound is selected for clinical development, detailed PK/ADME studies are conducted to characterize the bioavailability, metabolic properties, distribution, and excretion and elimination of the drug. These studies provide information to assess safety and provide data for registration. The focus of this chapter is to describe the various DMPK studies performed at various stages of drug development and how they are captured when filing a new drug application (NDA). Figure shows the various DMPK studies conducted at different stages of drug development. The schematic is intended as an illustration, but the precise timing of the studies depends not only on the drug and its properties but also on the intended therapeutic benefit and target population. There are a number of regulatory guidance documents issued by regulatory authorities (U.S. Food and Drug Administration [FDA], European Medicines Agency [EMEA], etc.), and these guidelines are expected to be adhered to during the conduct of and metabolism studies. In addition, DMPK provides bioanalytical support for safety (toxicology and first-in-human) and efficacy (proof of concept or pivotal clinical) studies. The method development, validation, and sample analysis are expected to be conducted according to the guidelines issued by regulatory agencies worldwide, and any sample analysis conducted under good laboratory practice (GLP) guidelines is expected to meet the standards set forth under these guidelines. The metabolism data generated at various stages of development need to be integrated and summarized for regulatory filing and approval. The agreement to assemble all the quality, safety, and efficacy information in a common format (Common Technical Document or CTD) and the technical requirements for the registration of pharmaceuticals has been harmonized by the International Committee on Harmonization (ICH) process. This has revolutionized the regulatory review process and harmonized electronic submissions. Table shows the table of contents for the drug metabolism contributions in a CTD for an NDA. The objectives of this chapter are to discuss DMPK studies conducted during development and to reference the regulatory guidance documents that apply to various studies. The purposes are to integrate the information across studies and species and to present information related to safety and efficacy in an unambiguous and transparent manner to help regulators evaluate the content and main features of the drug.
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