Description

Book Synopsis
Drug Bioavailability

In order to reach its intended site of action, the drug molecules in every pill that we swallow must first be absorbed, transported via the bloodstream and evade various mechanisms that eliminate drugs from the body. Those drug properties that determine, for example, its stability in the gut or its ease of uptake into the bloodstream, are therefore of central importance in drug development. In fact, many potentially useful drugs fail because of insufficient availability at the biological target site.

This second edition of the gold standard for industrial research is thoroughly revised in line with current trends in the field, with all contributions extensively updated or rewritten. No other publication offers the same level of treatment on this crucial topic.

In 22 chapters readers can benefit from the key working knowledge of today’s leading pharmaceutical companies, including Pfizer, AstraZeneca, and Roche. Drug developers from industry and academia present all the factors governing drug bioavailability, complete with practical examples and real-life data.

Part I focuses on solubility and gastrointestinal absorption, while the second discusses in vitro and in vivo measurements of physicochemical properties, such as membrane permeability and solubility. Part III is devoted to metabolism and excretory mechanisms. The much revised and expanded Part IV surveys current in silico approaches to predict drug properties needed to estimate the bioavailability of any new drug candidate. The final part shows new drug development approaches as well as delivery strategies.

Indispensable for all those working in the pharmaceutical industry, pharmaceutical and medicinal chemists, and toxicologists.



Trade Review
"The book covers a wide range of topics and, as such, it will serve as a valuable reference for pharmaceutical scientists, toxicologists, academicians, and the graduate students." (Doody's, May 2009)

Table of Contents

List of Contributors XIX

Preface XXIII

A Personal Foreword XXV

1 Introduction: The Why and How of Drug Bioavailability Research 1
Han van de Waterbeemd and Bernard Testa

1.1 Defining Bioavailability 1

1.1.1 The Biological Context 1

1.1.2 A Pharmacokinetic Overview 3

1.1.3 Specific Issues 3

1.2 Presentation and Layout of the Book 4

References 6

Part One Physicochemical Aspects of Drug Dissolution and Solubility 7

2 Aqueous Solubility in Drug Discovery Chemistry, DMPK, and Biological Assays 9
Nicola Colclough, Linette Ruston, and Kin Tam

2.1 Introduction 10

2.1.1 Definition of Aqueous Solubility 11

2.1.2 Aqueous Solubility in Different Phases of Drug Discovery 12

2.2 Aqueous Solubility in Hit Identification 12

2.2.1 Aqueous Solubility from DMSO Solutions 13

2.2.1.1 Turbidimetric Methods 14

2.2.1.2 UV Absorption Methods 15

2.2.1.3 Alternative Detection Methodology 17

2.2.1.4 Application of DMSO-Based Solubility Assays 18

2.3 Aqueous Solubility in Lead Identification and Lead Optimization 18

2.3.1 Dried-Down Solution Methods 20

2.3.2 Solubility from Solid 21

2.3.3 Thermodynamic Solubility Assays with Solid-State Characterization 22

2.3.4 Solubility by Potentiometry 24

2.3.5 Application of Thermodynamic Solubility Data in LI and LO 26

2.4 Conclusions 28

References 28

3 Gastrointestinal Dissolution and Absorption of Class II Drugs 33
Arik S. Dahan and Gordon L. Amidon

3.1 Introduction 33

3.2 Drug Absorption and the BCS 34

3.3 Class II Drugs 36

3.4 GI Physiological Variables Affecting Class II Drug Dissolution 38

3.4.1 Bile Salts 38

3.4.2 GI pH 39

3.4.3 GI Transit 39

3.4.4 Drug Particle Size 40

3.4.5 Volume Available for Dissolution 41

3.5 In Vitro Dissolution Tests for Class II Drugs 41

3.5.1 Biorelevant Media 41

3.5.2 Dynamic Lipolysis Model 42

3.6 BCS-Based FDA Guidelines: Implications for Class II Drugs 43

3.6.1 Potential of Redefining BCS Solubility Class Boundary 43

3.6.2 Biowaiver Extension Potential for Class II Drugs 44

3.7 Conclusions 45

References 45

4 In Silico Prediction of Solubility 53
Andrew M. Davis and Pierre Bruneau

4.1 Introduction 54

4.2 What Solubility Measures to Model? 54

4.3 Is the Data Set Suitable for Modeling? 56

4.4 Descriptors and Modeling Methods for Developing Solubility Models 58

4.5 Comparing Literature Solubility Models 59

4.6 What Is the Influence of the Domain of Applicability? 63

4.7 Can We Tell when Good Predictions Are Made? 65

4.8 Conclusions 65

References 66

Part Two Physicochemical and Biological Studies of Membrane Permeability and Oral Absorption 69

5 Physicochemical Approaches to Drug Absorption 71
Han van de Waterbeemd

5.1 Introduction 73

5.2 Physicochemical Properties and Pharmacokinetics 74

5.2.1 DMPK 74

5.2.2 Lipophilicity, Permeability, and Absorption 74

5.2.3 Estimation of Volume of Distribution from Physical Chemistry 76

5.2.4 Plasma Protein Binding and Physicochemical Properties 76

5.3 Dissolution and Solubility 76

5.3.1 Calculated Solubility 78

5.4 Ionization (pKa) 78

5.4.1 Calculated pKa 79

5.5 Molecular Size and Shape 79

5.5.1 Calculated Size Descriptors 79

5.6 Hydrogen Bonding 80

5.6.1 Calculated Hydrogen-Bonding Descriptors 80

5.7 Lipophilicity 81

5.7.1 log P and log D 81

5.7.2 Calculated log P and log D 83

5.8 Permeability 84

5.8.1 Artificial Membranes and PAMPA 84

5.8.1.1 In Silico PAMPA 85

5.8.2 IAM, ILC, MEKC, and BMC 85

5.8.3 Liposome Partitioning 86

5.8.4 Biosensors 86

5.9 Amphiphilicity 86

5.10 Drug-Like Properties 87

5.11 Computation Versus Measurement of Physicochemical Properties 88

5.11.1 QSAR Modeling 88

5.11.2 In Combo: Using the Best of Two Worlds 89

5.12 Outlook 89

References 89

6 High-Throughput Measurement of Physicochemical Properties 101
Barbara P. Mason

6.1 Introduction 102

6.2 Positioning of Physicochemical Screening in Drug Discovery 102

6.3 ‘‘Fit for Purpose’’ Versus ‘‘Gold Standard’’ 103

6.4 Solubility 104

6.4.1 ‘‘Thermodynamic’’ Versus ‘‘Kinetic’’ 104

6.4.2 Methods of Measuring High-Throughput Solubility 106

6.4.3 Supernatant Concentration 106

6.4.4 Measuring Solubility Across a pH Range 107

6.4.5 Supernatant Concentration Methods from Solid Material 109

6.4.6 Precipitate Detection 109

6.4.7 Other Methods of Measuring Solubility 110

6.5 Dissociation Constants, pKa 110

6.5.1 Measuring pKa 111

6.5.2 pKa Measurements in Cosolvent Mixtures 112

6.5.3 pKa Measurements based on Separation 113

6.6 Lipophilicity 115

6.6.1 log P Versus log DpH 115

6.6.2 Measuring Lipophilicity 116

6.6.3 High-Throughput log D7.4 Measurements 117

6.6.4 High-Throughput log D7.4 Versus Shake-Flask log D7.4 117

6.6.5 Alternative Methods for Determining High-Throughput log DpH 118

6.7 Permeability 119

6.7.1 Permeability and Lipophilicity 121

6.7.2 Cell-Based Assays 121

6.7.3 Noncell-Based Assays: Chromatographic Methods 122

6.7.4 Noncell-Based Assays: Parallel Artificial Membrane Permeability Assay 122

6.7.4.1 Membrane Composition 123

6.7.4.2 Suggestions for PAMPA 123

6.7.4.3 Considerations in the Calculation of Permeability from PAMPA Data 124

6.7.5 Sink Conditions 125

6.7.6 Unstirred Water Layer 126

6.7.7 Surface Properties for the Determination of Permeability 126

6.8 Data Interpretation, Presentation, and Storage 126

6.9 Conclusions 127

References 127

7 An Overview of Caco-2 and Alternatives for Prediction of Intestinal Drug Transport and Absorption 133
Anna-Lena Ungell and Per Artursson

7.1 Introduction 134

7.2 Cell Cultures for Assessment of Intestinal Permeability 134

7.2.1 Caco-2 135

7.2.2 MDCK Cells 136

7.2.3 2/4/A1 Cells 137

7.2.4 Other Cell Lines 139

7.3 Correlation to Fraction of Oral Dose Absorbed 140

7.4 Cell Culture and Transport Experiments 141

7.4.1 Quality Control and Standardization 143

7.4.2 Optimizing Experimental Conditions: pH 144

7.4.3 Optimizing Experimental Conditions: Concentration Dependence 144

7.4.4 Optimizing Experimental Conditions: Solubility and BSA 145

7.5 Active Transport Studies in Caco-2 Cells 145

7.6 Metabolism Studies using Caco-2 Cells 146

7.7 Conclusions 147

References 148

8 Use of Animals for the Determination of Absorption and Bioavailability 161
Chris Logan

8.1 Introduction 162

8.1.1 ADME/PK in Drug Discovery 162

8.1.2 The Need for Prediction 163

8.2 Consideration of Absorption and Bioavailability 163

8.3 Choice of Animal Species 167

8.4 Methods 168

8.4.1 Radiolabels 169

8.4.2 Ex Vivo Methods for Absorption 169

8.4.2.1 Static Method 169

8.4.2.2 Perfusion Methods 170

8.4.3 In Vivo Methods 170

8.5 In Vivo Methods for Determining Bioavailability 171

8.5.1 Cassette Dosing 171

8.5.2 Semisimultaneous Dosing 172

8.5.3 Hepatic Portal Vein Cannulation 173

8.6 Inhalation 173

8.7 Relevance of Animal Models 174

8.7.1 Models for Prediction of Absorption 174

8.7.2 Models for Prediction of Volume 175

8.8 Prediction of Dose in Man 176

8.8.1 Allometry 176

8.8.2 Physiologically Based Pharmacokinetics 176

8.8.3 Prediction of Human Dose 177

8.9 Conclusions 179

References 179

9 In Vivo Permeability Studies in the Gastrointestinal Tract of Humans 185
Niclas Petri and Hans Lennernäs

9.1 Introduction 185

9.2 Definitions of Intestinal Absorption, Presystemic Metabolism, and Absolute Bioavailability 188

9.3 Methodological Aspects of In Vitro Intestinal Perfusion Techniques 190

9.4 Paracellular Passive Diffusion 193

9.5 Transcellular Passive Diffusion 196

9.6 Carrier-Mediated Intestinal Absorption 199

9.7 Jejunal Transport and Metabolism 202

9.8 Regional Differences in Transport and Metabolism of Drugs 208

9.9 Conclusions 209

References 210

Part Three Role of Transporters and Metabolism in Oral Absorption 221

10 Transporters in the Gastrointestinal Tract 223
Pascale Anderle and Carsten U. Nielsen

10.1 Introduction 223

10.2 Active Transport Along the Intestine and Influence on Drug Absorption 228

10.2.1 Peptide Transporters 232

10.2.2 Nucleoside Transporters 233

10.2.3 Amino Acid Transporters 234

10.2.4 Monosaccharide Transporters 234

10.2.5 Organic Cation Transporters 235

10.2.6 Organic Anion Transporters 235

10.2.7 Monocarboxylate Transporters 235

10.2.8 ABC Transporters 235

10.2.9 Bile Acid Transporters 237

10.3 Transporters and Genomics 237

10.3.1 Introduction to Genomics Technologies 237

10.3.2 Gene Expression Profiling Along the Intestine and in Caco-2 Cells 238

10.3.2.1 Profiling of the Intestinal Mucosa 238

10.3.2.2 Profiling of Caco-2 Cells 240

10.3.3 Intestinal Transporters and the Influence of Genotypes 242

10.4 Structural Requirements for Targeting Absorptive Intestinal Transporters 245

10.4.1 Strategies for Increasing Drug Absorption Targeting Transporters 245

10.4.2 Changing the Substrate: SAR Established for PEPT1 247

10.4.3 Methods for Investigating Affinity and Translocation 248

10.4.4 Quantitative Structure–Activity Relations for Binding of Drug to Transporters 249

10.5 Transporters and Diseased States of the Intestine 251

10.5.1 Intestinal Diseases 251

10.5.2 Basic Mechanisms in Cancer and Specifically in Colon Carcinogenesis 252

10.5.2.1 Basic Mechanisms 252

10.5.2.2 Colon Cancer 253

10.5.3 Transporters and Colon Cancer 253

10.5.3.1 Transporters as Tumor Suppressor Genes 255

10.5.3.2 Role of Transporters in the Tumor–Stroma Interaction 255

10.5.3.3 Role of Transporters in Intestinal Stem Cells 258

10.5.4 Role of PEPT1 in Inflammatory Bowel Disease 259

10.6 Summary and Outlook 260

References 261

11 Hepatic Transport 277
Kazuya Maeda, Hiroshi Suzuki, and Yuichi Sugiyama

11.1 Introduction 278

11.2 Hepatic Uptake 278

11.2.1 NTCP (SLC10A1) 279

11.2.2 OATP (SLCO) Family Transporters 279

11.2.3 OAT (SLC22) Family Transporters 281

11.2.4 OCT (SLC22) Family Transporters 284

11.3 Biliary Excretion 284

11.3.1 MDR1 (P-glycoprotein; ABCB1) 287

11.3.2 MRP2 (ABCC2) 287

11.3.3 BCRP (ABCG2) 289

11.3.4 BSEP (ABCB11) 290

11.3.5 MATE1 (SLC47A1) 290

11.4 Sinusoidal Efflux 290

11.4.1 MRP3 (ABCC3) 291

11.4.2 MRP4 (ABCC4) 291

11.4.3 Other Transporters 293

11.5 Prediction of Hepatobiliary Transport of Substrates from In Vitro Data 294

11.5.1 Prediction of Hepatic Uptake Process from In Vitro Data 294

11.5.2 Prediction of the Contribution of Each Transporter to the Overall Hepatic Uptake 295

11.5.3 Prediction of Hepatic Efflux Process from In Vitro Data 298

11.5.4 Utilization of Double (Multiple) Transfected Cells for the Characterization of Hepatobiliary Transport 299

11.6 Genetic Polymorphism of Transporters and Its Clinical Relevance 301

11.7 Transporter-Mediated Drug–Drug Interactions 305

11.7.1 Effect of Drugs on the Activity of Uptake Transporters Located on the Sinusoidal Membrane 305

11.7.2 Effect of Drugs on the Activity of Efflux Transporters Located on the Bile Canalicular Membrane 308

11.7.3 Prediction of Drug–Drug Interaction from In Vitro Data 309

11.8 Concluding Remarks 309

References 311

12 The Importance of Gut Wall Metabolism in Determining Drug Bioavailability 333
Christopher Kohl

12.1 Introduction 334

12.2 Physiology of the Intestinal Mucosa 334

12.3 Drug-Metabolizing Enzymes in the Human Mucosa 336

12.3.1 Cytochrome P450 336

12.3.2 Glucuronyltransferase 337

12.3.3 Sulfotransferase 337

12.3.4 Other Enzymes 337

12.4 Oral Bioavailability 341

12.4.1 In Vivo Approaches to Differentiate Between Intestinal and Hepatic First-Pass Metabolism 342

12.4.2 In Vitro Approaches to Estimate Intestinal Metabolism 344

12.4.3 Computational Approaches to Estimate and to Predict Human Intestinal Metabolism 345

12.5 Clinical Relevance of Gut Wall First-Pass Metabolism 347

References 347

13 Modified Cell Lines 359
Guangqing Xiao and Charles L. Crespi

13.1 Introduction 359

13.2 Cell/Vector Systems 360

13.3 Expression of Individual Metabolic Enzymes 363

13.4 Expression of Transporters 365

13.4.1 Efflux Transporters 365

13.4.2 Uptake Transporters 367

13.5 Summary and Future Perspectives 368

References 368

Part Four Computational Approaches to Drug Absorption and Bioavailability 373

14 Calculated Molecular Properties and Multivariate Statistical Analysis 375
Ulf Norinder

14.1 Introduction 377

14.2 Calculated Molecular Descriptors 377

14.2.1 2D-Based Molecular Descriptors 377

14.2.1.1 Constitutional Descriptors 378

14.2.1.2 Fragment- and Functional Group-Based Descriptors 378

14.2.1.3 Topological Descriptors 379

14.2.2 3D Descriptors 381

14.2.2.1 WHIM Descriptors 381

14.2.2.2 Jurs Descriptors 382

14.2.2.3 VolSurf and Almond Descriptors 383

14.2.2.4 Pharmacophore Fingerprints 384

14.2.3 Property-Based Descriptors 385

14.2.3.1 log P 385

14.2.3.2 HYBOT Descriptors 386

14.2.3.3 Abraham Descriptors 386

14.2.3.4 Polar Surface Area 386

14.3 Statistical Methods 387

14.3.1 Linear and Nonlinear Methods 388

14.3.1.1 Multiple Linear Regression 388

14.3.1.2 Partial Least Squares 389

14.3.1.3 Artificial Neural Networks 390

14.3.1.4 Bayesian Neural Networks 390

14.3.1.5 Support Vector Machines 390

14.3.1.6 k-Nearest Neighbor Modeling 392

14.3.1.7 Linear Discriminant Analysis 392

14.3.2 Partitioning Methods 393

14.3.2.1 Traditional Rule-Based Methods 393

14.3.2.2 Rule-Based Methods Using Genetic Programming 394

14.3.3 Consensus and Ensemble Methods 395

14.4 Applicability Domain 396

14.5 Training and Test Set Selection and Model Validation 398

14.5.1 Training and Test Set Selection 398

14.5.2 Model Validation 399

14.6 Future Outlook 400

References 401

15 Computational Absorption Prediction 409
Christel A.S. Bergström, Markus Haeberlein, and Ulf Norinder

15.1 Introduction 410

15.2 Descriptors Influencing Absorption 410

15.2.1 Solubility 411

15.2.2 Membrane Permeability 412

15.3 Computational Models of Oral Absorption 413

15.3.1 Quantitative Predictions of Oral Absorption 413

15.3.1.1 Responses: Evaluations of Measurement of Fraction Absorbed 417

15.3.1.2 Model Development: Data sets, Descriptors, Technologies, and Applicability 419

15.3.2 Qualitative Predictions of Oral Absorption 420

15.3.2.1 Model Development: Data sets, Descriptors, Technologies, and Applicability 420

15.3.2.2 An Example Using Genetic Programming-Based Rule Extraction 426

15.3.3 Repeated Use of Data Sets 427

15.4 Software for Absorption Prediction 427

15.5 Future Outlook 428

References 429

16 In Silico Prediction of Human Bioavailability 433
David J. Livingstone and Han van de Waterbeemd

16.1 Introduction 434

16.2 Concepts of Pharmacokinetics and Role of Oral Bioavailability 437

16.3 In Silico QSAR Models of Oral Bioavailability 438

16.3.1 Prediction of Human Bioavailability 438

16.3.2 Prediction of Animal Bioavailability 441

16.4 Prediction of the Components of Bioavailability 441

16.5 Using Physiological Modeling to Predict Oral Bioavailability 443

16.6 Conclusions 445

References 446

17 Simulations of Absorption, Metabolism, and Bioavailability 453
Michael B. Bolger, Robert Fraczkiewicz, and Viera Lukacova

17.1 Introduction 454

17.2 Background 454

17.3 Use of Rule-Based Computational Alerts in Early Discovery 456

17.3.1 Simple Rules for Drug Absorption (Druggability) 456

17.3.2 Complex Rules That Include Toxicity 473

17.4 Mechanistic Simulation (ACAT Models) in Early Discovery 474

17.4.1 Automatic Scaling of k’a 0 as a Function of Peff, pH, log D, and GI Surface Area 477

17.4.2 Mechanistic Corrections for Active Transport and Efflux 478

17.4.3 PBPK and In Silico Estimation of Distribution 481

17.5 Mechanistic Simulation of Bioavailability (Drug Development) 481

17.5.1 Approaches to In Silico Estimation of Metabolism 484

17.6 Regulatory Aspects of Modeling and Simulation (FDA Critical Path Initiative) 484

17.7 Conclusions 485

References 485

18 Toward Understanding P-Glycoprotein Structure–Activity Relationships 497
Anna Seelig

18.1 Introduction 498

18.1.1 Similarity Between P-gp and Other ABC Transporters 498

18.1.2 Why P-gp Is Special 500

18.2 Measurement of P-gp Function 500

18.2.1 P-gp ATPase Activity Assay 500

18.2.1.1 Quantification of Substrate–Transporter Interactions 503

18.2.1.2 Relationship between Substrate–Transporter Affinity and Rate of Transport 504

18.2.2 Transport Assays 506

18.2.3 Competition Assays 508

18.3 Predictive In Silico Models 508

18.3.1 Introduction to Structure–Activity Relationship 509

18.3.2 3D-QSAR Pharmacophore Models 509

18.3.3 Linear Discriminant Models 510

18.3.4 Modular Binding Approach 511

18.3.5 Rule-Based Approaches 512

18.4 Discussion 513

18.4.1 Prediction of Substrate-P-gp Interactions 513

18.4.2 Prediction of ATPase Activity or Intrinsic Transport 513

18.4.3 Prediction of Transport (i.e., Apparent Transport) 513

18.4.4 Prediction of Competition 514

18.4.5 Conclusions 514

References 514

Part Five Drug Development Issues 521

19 Application of the Biopharmaceutics Classification System Now and in the Future 523
Bertil Abrahamsson and Hans Lennernäs

19.1 Introduction 524

19.2 Definition of Absorption and Bioavailability of Drugs Following Oral Administration 527

19.3 Dissolution and Solubility 528

19.4 The Effective Intestinal Permeability (Peff) 535

19.5 Luminal Degradation and Binding 539

19.6 The Biopharmaceutics Classification System 541

19.6.1 Regulatory Aspects 541

19.6.1.1 Present Situation 541

19.6.1.2 Potential Future Extensions 543

19.6.2 Drug Development Aspects 543

19.6.2.1 Selection of Candidate Drugs 544

19.6.2.2 Choice of Formulation Principle 545

19.6.2.3 In Vitro/In Vivo Correlation 547

19.6.2.4 Food–Drug Interactions 549

19.6.2.5 Quality by Design 552

19.7 Conclusions 552

References 553

20 Prodrugs 559
Bernard Testa

20.1 Introduction 559

20.2 Why Prodrugs? 560

20.2.1 Pharmaceutical Objectives 560

20.2.2 Pharmacokinetic Objectives 561

20.2.3 Pharmacodynamic Objectives 564

20.3 How Prodrugs? 565

20.3.1 Types of Prodrugs 565

20.3.2 Hurdles in Prodrug Research 567

20.4 Conclusions 568

References 568

21 Modern Delivery Strategies: Physiological Considerations for Orally Administered Medications 571
Clive G. Wilson and Werner Weitschies

21.1 Introduction 571

21.2 The Targets 572

21.3 The Upper GI Tract: Mouth and Esophagus 573

21.3.1 Swallowing the Bitter Pill... 575

21.4 Mid-GI Tract: Stomach and Intestine 576

21.4.1 Gastric Inhomogeneity 576

21.4.2 Gastric Emptying 579

21.4.3 Small Intestinal Transit Patterns 581

21.4.4 Modulation of Transit to Prolong the Absorption Phase 582

21.4.5 Absorption Enhancement 582

21.5 The Lower GI Tract: The Colon 583

21.5.1 Colonic Transit 584

21.5.2 Time of Dosing 585

21.5.3 Modulating Colonic Water 586

21.6 Pathophysiological Effects on Transit 587

21.7 Pathophysiological Effects on Permeability 589

21.8 pH 589

21.9 Conclusions 590

References 590

22 Nanotechnology for Improved Drug Bioavailability 597
Marjo Yliperttula and Arto Urtti

22.1 Introduction 597

22.2 Nanotechnological Systems in Drug Delivery 599

22.2.1 Classification of the Technologies 599

22.2.1.1 Nanocrystals 599

22.2.1.2 Self-Assembling Nanoparticulates 600

22.2.1.3 Processed Nanoparticulates 601

22.2.1.4 Single-Molecule-Based Nanocarriers 601

22.2.2 Pharmaceutical Properties of Nanotechnological Formulations 601

22.2.2.1 Drug-Loading Capacity 601

22.2.2.2 Processing 602

22.2.2.3 Biological Stability 602

22.3 Delivery via Nanotechnologies 603

22.3.1 Delivery Aspects at Cellular Level 603

22.3.2 Nanosystems for Improved Oral Drug Bioavailability 606

22.3.3 Nanosystems for Improved Local Drug Bioavailability 606

22.4 Key Issues and Future Prospects 608

References 609

Index 613

Drug Bioavailability: Estimation of Solubility, Permeability, Absorption and Bioavailability

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    A Hardback by Han van de Waterbeemd, Bernard Testa, Raimund Mannhold

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      View other formats and editions of Drug Bioavailability: Estimation of Solubility, Permeability, Absorption and Bioavailability by Han van de Waterbeemd

      Publisher: Wiley-VCH Verlag GmbH
      Publication Date: 15/10/2008
      ISBN13: 9783527320516, 978-3527320516
      ISBN10:

      Description

      Book Synopsis
      Drug Bioavailability

      In order to reach its intended site of action, the drug molecules in every pill that we swallow must first be absorbed, transported via the bloodstream and evade various mechanisms that eliminate drugs from the body. Those drug properties that determine, for example, its stability in the gut or its ease of uptake into the bloodstream, are therefore of central importance in drug development. In fact, many potentially useful drugs fail because of insufficient availability at the biological target site.

      This second edition of the gold standard for industrial research is thoroughly revised in line with current trends in the field, with all contributions extensively updated or rewritten. No other publication offers the same level of treatment on this crucial topic.

      In 22 chapters readers can benefit from the key working knowledge of today’s leading pharmaceutical companies, including Pfizer, AstraZeneca, and Roche. Drug developers from industry and academia present all the factors governing drug bioavailability, complete with practical examples and real-life data.

      Part I focuses on solubility and gastrointestinal absorption, while the second discusses in vitro and in vivo measurements of physicochemical properties, such as membrane permeability and solubility. Part III is devoted to metabolism and excretory mechanisms. The much revised and expanded Part IV surveys current in silico approaches to predict drug properties needed to estimate the bioavailability of any new drug candidate. The final part shows new drug development approaches as well as delivery strategies.

      Indispensable for all those working in the pharmaceutical industry, pharmaceutical and medicinal chemists, and toxicologists.



      Trade Review
      "The book covers a wide range of topics and, as such, it will serve as a valuable reference for pharmaceutical scientists, toxicologists, academicians, and the graduate students." (Doody's, May 2009)

      Table of Contents

      List of Contributors XIX

      Preface XXIII

      A Personal Foreword XXV

      1 Introduction: The Why and How of Drug Bioavailability Research 1
      Han van de Waterbeemd and Bernard Testa

      1.1 Defining Bioavailability 1

      1.1.1 The Biological Context 1

      1.1.2 A Pharmacokinetic Overview 3

      1.1.3 Specific Issues 3

      1.2 Presentation and Layout of the Book 4

      References 6

      Part One Physicochemical Aspects of Drug Dissolution and Solubility 7

      2 Aqueous Solubility in Drug Discovery Chemistry, DMPK, and Biological Assays 9
      Nicola Colclough, Linette Ruston, and Kin Tam

      2.1 Introduction 10

      2.1.1 Definition of Aqueous Solubility 11

      2.1.2 Aqueous Solubility in Different Phases of Drug Discovery 12

      2.2 Aqueous Solubility in Hit Identification 12

      2.2.1 Aqueous Solubility from DMSO Solutions 13

      2.2.1.1 Turbidimetric Methods 14

      2.2.1.2 UV Absorption Methods 15

      2.2.1.3 Alternative Detection Methodology 17

      2.2.1.4 Application of DMSO-Based Solubility Assays 18

      2.3 Aqueous Solubility in Lead Identification and Lead Optimization 18

      2.3.1 Dried-Down Solution Methods 20

      2.3.2 Solubility from Solid 21

      2.3.3 Thermodynamic Solubility Assays with Solid-State Characterization 22

      2.3.4 Solubility by Potentiometry 24

      2.3.5 Application of Thermodynamic Solubility Data in LI and LO 26

      2.4 Conclusions 28

      References 28

      3 Gastrointestinal Dissolution and Absorption of Class II Drugs 33
      Arik S. Dahan and Gordon L. Amidon

      3.1 Introduction 33

      3.2 Drug Absorption and the BCS 34

      3.3 Class II Drugs 36

      3.4 GI Physiological Variables Affecting Class II Drug Dissolution 38

      3.4.1 Bile Salts 38

      3.4.2 GI pH 39

      3.4.3 GI Transit 39

      3.4.4 Drug Particle Size 40

      3.4.5 Volume Available for Dissolution 41

      3.5 In Vitro Dissolution Tests for Class II Drugs 41

      3.5.1 Biorelevant Media 41

      3.5.2 Dynamic Lipolysis Model 42

      3.6 BCS-Based FDA Guidelines: Implications for Class II Drugs 43

      3.6.1 Potential of Redefining BCS Solubility Class Boundary 43

      3.6.2 Biowaiver Extension Potential for Class II Drugs 44

      3.7 Conclusions 45

      References 45

      4 In Silico Prediction of Solubility 53
      Andrew M. Davis and Pierre Bruneau

      4.1 Introduction 54

      4.2 What Solubility Measures to Model? 54

      4.3 Is the Data Set Suitable for Modeling? 56

      4.4 Descriptors and Modeling Methods for Developing Solubility Models 58

      4.5 Comparing Literature Solubility Models 59

      4.6 What Is the Influence of the Domain of Applicability? 63

      4.7 Can We Tell when Good Predictions Are Made? 65

      4.8 Conclusions 65

      References 66

      Part Two Physicochemical and Biological Studies of Membrane Permeability and Oral Absorption 69

      5 Physicochemical Approaches to Drug Absorption 71
      Han van de Waterbeemd

      5.1 Introduction 73

      5.2 Physicochemical Properties and Pharmacokinetics 74

      5.2.1 DMPK 74

      5.2.2 Lipophilicity, Permeability, and Absorption 74

      5.2.3 Estimation of Volume of Distribution from Physical Chemistry 76

      5.2.4 Plasma Protein Binding and Physicochemical Properties 76

      5.3 Dissolution and Solubility 76

      5.3.1 Calculated Solubility 78

      5.4 Ionization (pKa) 78

      5.4.1 Calculated pKa 79

      5.5 Molecular Size and Shape 79

      5.5.1 Calculated Size Descriptors 79

      5.6 Hydrogen Bonding 80

      5.6.1 Calculated Hydrogen-Bonding Descriptors 80

      5.7 Lipophilicity 81

      5.7.1 log P and log D 81

      5.7.2 Calculated log P and log D 83

      5.8 Permeability 84

      5.8.1 Artificial Membranes and PAMPA 84

      5.8.1.1 In Silico PAMPA 85

      5.8.2 IAM, ILC, MEKC, and BMC 85

      5.8.3 Liposome Partitioning 86

      5.8.4 Biosensors 86

      5.9 Amphiphilicity 86

      5.10 Drug-Like Properties 87

      5.11 Computation Versus Measurement of Physicochemical Properties 88

      5.11.1 QSAR Modeling 88

      5.11.2 In Combo: Using the Best of Two Worlds 89

      5.12 Outlook 89

      References 89

      6 High-Throughput Measurement of Physicochemical Properties 101
      Barbara P. Mason

      6.1 Introduction 102

      6.2 Positioning of Physicochemical Screening in Drug Discovery 102

      6.3 ‘‘Fit for Purpose’’ Versus ‘‘Gold Standard’’ 103

      6.4 Solubility 104

      6.4.1 ‘‘Thermodynamic’’ Versus ‘‘Kinetic’’ 104

      6.4.2 Methods of Measuring High-Throughput Solubility 106

      6.4.3 Supernatant Concentration 106

      6.4.4 Measuring Solubility Across a pH Range 107

      6.4.5 Supernatant Concentration Methods from Solid Material 109

      6.4.6 Precipitate Detection 109

      6.4.7 Other Methods of Measuring Solubility 110

      6.5 Dissociation Constants, pKa 110

      6.5.1 Measuring pKa 111

      6.5.2 pKa Measurements in Cosolvent Mixtures 112

      6.5.3 pKa Measurements based on Separation 113

      6.6 Lipophilicity 115

      6.6.1 log P Versus log DpH 115

      6.6.2 Measuring Lipophilicity 116

      6.6.3 High-Throughput log D7.4 Measurements 117

      6.6.4 High-Throughput log D7.4 Versus Shake-Flask log D7.4 117

      6.6.5 Alternative Methods for Determining High-Throughput log DpH 118

      6.7 Permeability 119

      6.7.1 Permeability and Lipophilicity 121

      6.7.2 Cell-Based Assays 121

      6.7.3 Noncell-Based Assays: Chromatographic Methods 122

      6.7.4 Noncell-Based Assays: Parallel Artificial Membrane Permeability Assay 122

      6.7.4.1 Membrane Composition 123

      6.7.4.2 Suggestions for PAMPA 123

      6.7.4.3 Considerations in the Calculation of Permeability from PAMPA Data 124

      6.7.5 Sink Conditions 125

      6.7.6 Unstirred Water Layer 126

      6.7.7 Surface Properties for the Determination of Permeability 126

      6.8 Data Interpretation, Presentation, and Storage 126

      6.9 Conclusions 127

      References 127

      7 An Overview of Caco-2 and Alternatives for Prediction of Intestinal Drug Transport and Absorption 133
      Anna-Lena Ungell and Per Artursson

      7.1 Introduction 134

      7.2 Cell Cultures for Assessment of Intestinal Permeability 134

      7.2.1 Caco-2 135

      7.2.2 MDCK Cells 136

      7.2.3 2/4/A1 Cells 137

      7.2.4 Other Cell Lines 139

      7.3 Correlation to Fraction of Oral Dose Absorbed 140

      7.4 Cell Culture and Transport Experiments 141

      7.4.1 Quality Control and Standardization 143

      7.4.2 Optimizing Experimental Conditions: pH 144

      7.4.3 Optimizing Experimental Conditions: Concentration Dependence 144

      7.4.4 Optimizing Experimental Conditions: Solubility and BSA 145

      7.5 Active Transport Studies in Caco-2 Cells 145

      7.6 Metabolism Studies using Caco-2 Cells 146

      7.7 Conclusions 147

      References 148

      8 Use of Animals for the Determination of Absorption and Bioavailability 161
      Chris Logan

      8.1 Introduction 162

      8.1.1 ADME/PK in Drug Discovery 162

      8.1.2 The Need for Prediction 163

      8.2 Consideration of Absorption and Bioavailability 163

      8.3 Choice of Animal Species 167

      8.4 Methods 168

      8.4.1 Radiolabels 169

      8.4.2 Ex Vivo Methods for Absorption 169

      8.4.2.1 Static Method 169

      8.4.2.2 Perfusion Methods 170

      8.4.3 In Vivo Methods 170

      8.5 In Vivo Methods for Determining Bioavailability 171

      8.5.1 Cassette Dosing 171

      8.5.2 Semisimultaneous Dosing 172

      8.5.3 Hepatic Portal Vein Cannulation 173

      8.6 Inhalation 173

      8.7 Relevance of Animal Models 174

      8.7.1 Models for Prediction of Absorption 174

      8.7.2 Models for Prediction of Volume 175

      8.8 Prediction of Dose in Man 176

      8.8.1 Allometry 176

      8.8.2 Physiologically Based Pharmacokinetics 176

      8.8.3 Prediction of Human Dose 177

      8.9 Conclusions 179

      References 179

      9 In Vivo Permeability Studies in the Gastrointestinal Tract of Humans 185
      Niclas Petri and Hans Lennernäs

      9.1 Introduction 185

      9.2 Definitions of Intestinal Absorption, Presystemic Metabolism, and Absolute Bioavailability 188

      9.3 Methodological Aspects of In Vitro Intestinal Perfusion Techniques 190

      9.4 Paracellular Passive Diffusion 193

      9.5 Transcellular Passive Diffusion 196

      9.6 Carrier-Mediated Intestinal Absorption 199

      9.7 Jejunal Transport and Metabolism 202

      9.8 Regional Differences in Transport and Metabolism of Drugs 208

      9.9 Conclusions 209

      References 210

      Part Three Role of Transporters and Metabolism in Oral Absorption 221

      10 Transporters in the Gastrointestinal Tract 223
      Pascale Anderle and Carsten U. Nielsen

      10.1 Introduction 223

      10.2 Active Transport Along the Intestine and Influence on Drug Absorption 228

      10.2.1 Peptide Transporters 232

      10.2.2 Nucleoside Transporters 233

      10.2.3 Amino Acid Transporters 234

      10.2.4 Monosaccharide Transporters 234

      10.2.5 Organic Cation Transporters 235

      10.2.6 Organic Anion Transporters 235

      10.2.7 Monocarboxylate Transporters 235

      10.2.8 ABC Transporters 235

      10.2.9 Bile Acid Transporters 237

      10.3 Transporters and Genomics 237

      10.3.1 Introduction to Genomics Technologies 237

      10.3.2 Gene Expression Profiling Along the Intestine and in Caco-2 Cells 238

      10.3.2.1 Profiling of the Intestinal Mucosa 238

      10.3.2.2 Profiling of Caco-2 Cells 240

      10.3.3 Intestinal Transporters and the Influence of Genotypes 242

      10.4 Structural Requirements for Targeting Absorptive Intestinal Transporters 245

      10.4.1 Strategies for Increasing Drug Absorption Targeting Transporters 245

      10.4.2 Changing the Substrate: SAR Established for PEPT1 247

      10.4.3 Methods for Investigating Affinity and Translocation 248

      10.4.4 Quantitative Structure–Activity Relations for Binding of Drug to Transporters 249

      10.5 Transporters and Diseased States of the Intestine 251

      10.5.1 Intestinal Diseases 251

      10.5.2 Basic Mechanisms in Cancer and Specifically in Colon Carcinogenesis 252

      10.5.2.1 Basic Mechanisms 252

      10.5.2.2 Colon Cancer 253

      10.5.3 Transporters and Colon Cancer 253

      10.5.3.1 Transporters as Tumor Suppressor Genes 255

      10.5.3.2 Role of Transporters in the Tumor–Stroma Interaction 255

      10.5.3.3 Role of Transporters in Intestinal Stem Cells 258

      10.5.4 Role of PEPT1 in Inflammatory Bowel Disease 259

      10.6 Summary and Outlook 260

      References 261

      11 Hepatic Transport 277
      Kazuya Maeda, Hiroshi Suzuki, and Yuichi Sugiyama

      11.1 Introduction 278

      11.2 Hepatic Uptake 278

      11.2.1 NTCP (SLC10A1) 279

      11.2.2 OATP (SLCO) Family Transporters 279

      11.2.3 OAT (SLC22) Family Transporters 281

      11.2.4 OCT (SLC22) Family Transporters 284

      11.3 Biliary Excretion 284

      11.3.1 MDR1 (P-glycoprotein; ABCB1) 287

      11.3.2 MRP2 (ABCC2) 287

      11.3.3 BCRP (ABCG2) 289

      11.3.4 BSEP (ABCB11) 290

      11.3.5 MATE1 (SLC47A1) 290

      11.4 Sinusoidal Efflux 290

      11.4.1 MRP3 (ABCC3) 291

      11.4.2 MRP4 (ABCC4) 291

      11.4.3 Other Transporters 293

      11.5 Prediction of Hepatobiliary Transport of Substrates from In Vitro Data 294

      11.5.1 Prediction of Hepatic Uptake Process from In Vitro Data 294

      11.5.2 Prediction of the Contribution of Each Transporter to the Overall Hepatic Uptake 295

      11.5.3 Prediction of Hepatic Efflux Process from In Vitro Data 298

      11.5.4 Utilization of Double (Multiple) Transfected Cells for the Characterization of Hepatobiliary Transport 299

      11.6 Genetic Polymorphism of Transporters and Its Clinical Relevance 301

      11.7 Transporter-Mediated Drug–Drug Interactions 305

      11.7.1 Effect of Drugs on the Activity of Uptake Transporters Located on the Sinusoidal Membrane 305

      11.7.2 Effect of Drugs on the Activity of Efflux Transporters Located on the Bile Canalicular Membrane 308

      11.7.3 Prediction of Drug–Drug Interaction from In Vitro Data 309

      11.8 Concluding Remarks 309

      References 311

      12 The Importance of Gut Wall Metabolism in Determining Drug Bioavailability 333
      Christopher Kohl

      12.1 Introduction 334

      12.2 Physiology of the Intestinal Mucosa 334

      12.3 Drug-Metabolizing Enzymes in the Human Mucosa 336

      12.3.1 Cytochrome P450 336

      12.3.2 Glucuronyltransferase 337

      12.3.3 Sulfotransferase 337

      12.3.4 Other Enzymes 337

      12.4 Oral Bioavailability 341

      12.4.1 In Vivo Approaches to Differentiate Between Intestinal and Hepatic First-Pass Metabolism 342

      12.4.2 In Vitro Approaches to Estimate Intestinal Metabolism 344

      12.4.3 Computational Approaches to Estimate and to Predict Human Intestinal Metabolism 345

      12.5 Clinical Relevance of Gut Wall First-Pass Metabolism 347

      References 347

      13 Modified Cell Lines 359
      Guangqing Xiao and Charles L. Crespi

      13.1 Introduction 359

      13.2 Cell/Vector Systems 360

      13.3 Expression of Individual Metabolic Enzymes 363

      13.4 Expression of Transporters 365

      13.4.1 Efflux Transporters 365

      13.4.2 Uptake Transporters 367

      13.5 Summary and Future Perspectives 368

      References 368

      Part Four Computational Approaches to Drug Absorption and Bioavailability 373

      14 Calculated Molecular Properties and Multivariate Statistical Analysis 375
      Ulf Norinder

      14.1 Introduction 377

      14.2 Calculated Molecular Descriptors 377

      14.2.1 2D-Based Molecular Descriptors 377

      14.2.1.1 Constitutional Descriptors 378

      14.2.1.2 Fragment- and Functional Group-Based Descriptors 378

      14.2.1.3 Topological Descriptors 379

      14.2.2 3D Descriptors 381

      14.2.2.1 WHIM Descriptors 381

      14.2.2.2 Jurs Descriptors 382

      14.2.2.3 VolSurf and Almond Descriptors 383

      14.2.2.4 Pharmacophore Fingerprints 384

      14.2.3 Property-Based Descriptors 385

      14.2.3.1 log P 385

      14.2.3.2 HYBOT Descriptors 386

      14.2.3.3 Abraham Descriptors 386

      14.2.3.4 Polar Surface Area 386

      14.3 Statistical Methods 387

      14.3.1 Linear and Nonlinear Methods 388

      14.3.1.1 Multiple Linear Regression 388

      14.3.1.2 Partial Least Squares 389

      14.3.1.3 Artificial Neural Networks 390

      14.3.1.4 Bayesian Neural Networks 390

      14.3.1.5 Support Vector Machines 390

      14.3.1.6 k-Nearest Neighbor Modeling 392

      14.3.1.7 Linear Discriminant Analysis 392

      14.3.2 Partitioning Methods 393

      14.3.2.1 Traditional Rule-Based Methods 393

      14.3.2.2 Rule-Based Methods Using Genetic Programming 394

      14.3.3 Consensus and Ensemble Methods 395

      14.4 Applicability Domain 396

      14.5 Training and Test Set Selection and Model Validation 398

      14.5.1 Training and Test Set Selection 398

      14.5.2 Model Validation 399

      14.6 Future Outlook 400

      References 401

      15 Computational Absorption Prediction 409
      Christel A.S. Bergström, Markus Haeberlein, and Ulf Norinder

      15.1 Introduction 410

      15.2 Descriptors Influencing Absorption 410

      15.2.1 Solubility 411

      15.2.2 Membrane Permeability 412

      15.3 Computational Models of Oral Absorption 413

      15.3.1 Quantitative Predictions of Oral Absorption 413

      15.3.1.1 Responses: Evaluations of Measurement of Fraction Absorbed 417

      15.3.1.2 Model Development: Data sets, Descriptors, Technologies, and Applicability 419

      15.3.2 Qualitative Predictions of Oral Absorption 420

      15.3.2.1 Model Development: Data sets, Descriptors, Technologies, and Applicability 420

      15.3.2.2 An Example Using Genetic Programming-Based Rule Extraction 426

      15.3.3 Repeated Use of Data Sets 427

      15.4 Software for Absorption Prediction 427

      15.5 Future Outlook 428

      References 429

      16 In Silico Prediction of Human Bioavailability 433
      David J. Livingstone and Han van de Waterbeemd

      16.1 Introduction 434

      16.2 Concepts of Pharmacokinetics and Role of Oral Bioavailability 437

      16.3 In Silico QSAR Models of Oral Bioavailability 438

      16.3.1 Prediction of Human Bioavailability 438

      16.3.2 Prediction of Animal Bioavailability 441

      16.4 Prediction of the Components of Bioavailability 441

      16.5 Using Physiological Modeling to Predict Oral Bioavailability 443

      16.6 Conclusions 445

      References 446

      17 Simulations of Absorption, Metabolism, and Bioavailability 453
      Michael B. Bolger, Robert Fraczkiewicz, and Viera Lukacova

      17.1 Introduction 454

      17.2 Background 454

      17.3 Use of Rule-Based Computational Alerts in Early Discovery 456

      17.3.1 Simple Rules for Drug Absorption (Druggability) 456

      17.3.2 Complex Rules That Include Toxicity 473

      17.4 Mechanistic Simulation (ACAT Models) in Early Discovery 474

      17.4.1 Automatic Scaling of k’a 0 as a Function of Peff, pH, log D, and GI Surface Area 477

      17.4.2 Mechanistic Corrections for Active Transport and Efflux 478

      17.4.3 PBPK and In Silico Estimation of Distribution 481

      17.5 Mechanistic Simulation of Bioavailability (Drug Development) 481

      17.5.1 Approaches to In Silico Estimation of Metabolism 484

      17.6 Regulatory Aspects of Modeling and Simulation (FDA Critical Path Initiative) 484

      17.7 Conclusions 485

      References 485

      18 Toward Understanding P-Glycoprotein Structure–Activity Relationships 497
      Anna Seelig

      18.1 Introduction 498

      18.1.1 Similarity Between P-gp and Other ABC Transporters 498

      18.1.2 Why P-gp Is Special 500

      18.2 Measurement of P-gp Function 500

      18.2.1 P-gp ATPase Activity Assay 500

      18.2.1.1 Quantification of Substrate–Transporter Interactions 503

      18.2.1.2 Relationship between Substrate–Transporter Affinity and Rate of Transport 504

      18.2.2 Transport Assays 506

      18.2.3 Competition Assays 508

      18.3 Predictive In Silico Models 508

      18.3.1 Introduction to Structure–Activity Relationship 509

      18.3.2 3D-QSAR Pharmacophore Models 509

      18.3.3 Linear Discriminant Models 510

      18.3.4 Modular Binding Approach 511

      18.3.5 Rule-Based Approaches 512

      18.4 Discussion 513

      18.4.1 Prediction of Substrate-P-gp Interactions 513

      18.4.2 Prediction of ATPase Activity or Intrinsic Transport 513

      18.4.3 Prediction of Transport (i.e., Apparent Transport) 513

      18.4.4 Prediction of Competition 514

      18.4.5 Conclusions 514

      References 514

      Part Five Drug Development Issues 521

      19 Application of the Biopharmaceutics Classification System Now and in the Future 523
      Bertil Abrahamsson and Hans Lennernäs

      19.1 Introduction 524

      19.2 Definition of Absorption and Bioavailability of Drugs Following Oral Administration 527

      19.3 Dissolution and Solubility 528

      19.4 The Effective Intestinal Permeability (Peff) 535

      19.5 Luminal Degradation and Binding 539

      19.6 The Biopharmaceutics Classification System 541

      19.6.1 Regulatory Aspects 541

      19.6.1.1 Present Situation 541

      19.6.1.2 Potential Future Extensions 543

      19.6.2 Drug Development Aspects 543

      19.6.2.1 Selection of Candidate Drugs 544

      19.6.2.2 Choice of Formulation Principle 545

      19.6.2.3 In Vitro/In Vivo Correlation 547

      19.6.2.4 Food–Drug Interactions 549

      19.6.2.5 Quality by Design 552

      19.7 Conclusions 552

      References 553

      20 Prodrugs 559
      Bernard Testa

      20.1 Introduction 559

      20.2 Why Prodrugs? 560

      20.2.1 Pharmaceutical Objectives 560

      20.2.2 Pharmacokinetic Objectives 561

      20.2.3 Pharmacodynamic Objectives 564

      20.3 How Prodrugs? 565

      20.3.1 Types of Prodrugs 565

      20.3.2 Hurdles in Prodrug Research 567

      20.4 Conclusions 568

      References 568

      21 Modern Delivery Strategies: Physiological Considerations for Orally Administered Medications 571
      Clive G. Wilson and Werner Weitschies

      21.1 Introduction 571

      21.2 The Targets 572

      21.3 The Upper GI Tract: Mouth and Esophagus 573

      21.3.1 Swallowing the Bitter Pill... 575

      21.4 Mid-GI Tract: Stomach and Intestine 576

      21.4.1 Gastric Inhomogeneity 576

      21.4.2 Gastric Emptying 579

      21.4.3 Small Intestinal Transit Patterns 581

      21.4.4 Modulation of Transit to Prolong the Absorption Phase 582

      21.4.5 Absorption Enhancement 582

      21.5 The Lower GI Tract: The Colon 583

      21.5.1 Colonic Transit 584

      21.5.2 Time of Dosing 585

      21.5.3 Modulating Colonic Water 586

      21.6 Pathophysiological Effects on Transit 587

      21.7 Pathophysiological Effects on Permeability 589

      21.8 pH 589

      21.9 Conclusions 590

      References 590

      22 Nanotechnology for Improved Drug Bioavailability 597
      Marjo Yliperttula and Arto Urtti

      22.1 Introduction 597

      22.2 Nanotechnological Systems in Drug Delivery 599

      22.2.1 Classification of the Technologies 599

      22.2.1.1 Nanocrystals 599

      22.2.1.2 Self-Assembling Nanoparticulates 600

      22.2.1.3 Processed Nanoparticulates 601

      22.2.1.4 Single-Molecule-Based Nanocarriers 601

      22.2.2 Pharmaceutical Properties of Nanotechnological Formulations 601

      22.2.2.1 Drug-Loading Capacity 601

      22.2.2.2 Processing 602

      22.2.2.3 Biological Stability 602

      22.3 Delivery via Nanotechnologies 603

      22.3.1 Delivery Aspects at Cellular Level 603

      22.3.2 Nanosystems for Improved Oral Drug Bioavailability 606

      22.3.3 Nanosystems for Improved Local Drug Bioavailability 606

      22.4 Key Issues and Future Prospects 608

      References 609

      Index 613

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