| Contributors |
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xi | |
| Foreword |
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xv | |
| Preface |
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xix | |
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I Techniques for identifying and quantifying drugs and metabolites |
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1 Bioanalysis of small and large molecule drugs, metabolites, and biomarkers by LC-MS |
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3 | (1) |
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2 Complexity of contemporary bioanalysis |
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4 | (2) |
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3 Bioanalytical requirements for supporting discovery, nonclinical, and clinical studies |
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6 | (1) |
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4 Current regulatory landscape for bioanalysis |
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6 | (1) |
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5 General considerations for bioanalysis for sample collection |
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7 | (2) |
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6 Diagnosis and mitigation of nonspecific adsorption loss for urine bioanalysis |
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9 | (1) |
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10 | (1) |
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8 Managing unstable metabolites such as acyl glucuronide |
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11 | (1) |
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9 General considerations for bioanalysis for extraction, chromatography, and MS detection |
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11 | (3) |
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10 Selected applications for LC-MS bioanalysis |
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14 | (18) |
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11 Conclusion and future perspective |
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32 | (1) |
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33 | (7) |
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2 Recent advances in mass spectrometric and other analytical techniques for the identification of drug metabolites |
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40 | (1) |
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2 Sample preparation strategies |
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41 | (3) |
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3 Optical detectors and chromatographic separation techniques |
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44 | (1) |
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4 Different types of Ionization techniques and mass spectrometric scan functions |
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45 | (11) |
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5 Wet chemistry techniques combined with MS |
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56 | (8) |
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6 Conclusion and future trends |
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64 | (1) |
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65 | (8) |
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3 High-resolution mass spectrometry-based data acquisition and data-mining technologies for detecting and characterizing drug metabolites and traditional Chinese medicine components |
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73 | (3) |
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2 HRMS-based data acquisition technologies for metabolite identification |
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76 | (12) |
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3 HRMS-based data-processing techniques for metabolite identification |
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88 | (8) |
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4 Applications of HRMS technologies in metabolite identification experiments |
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96 | (6) |
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5 Detection and structural characterization of traditional Chinese medicine components in biological systems |
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102 | (7) |
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6 Conclusion and future perspectives |
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109 | (1) |
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110 | (1) |
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111 | (8) |
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4 Methods for metabolite generation and characterization by NMR |
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119 | (2) |
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2 Methods for scaled-up production of drug metabolites |
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121 | (15) |
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3 Purification and structure elucidation of metabolites |
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136 | (9) |
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4 Conclusions and future direction |
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145 | (1) |
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146 | (1) |
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147 | (4) |
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5 Application of SFC for bioanalysis |
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151 | (3) |
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2 Considerations for SFC method development |
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154 | (3) |
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157 | (2) |
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159 | (1) |
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160 | (15) |
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175 | (1) |
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175 | (10) |
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6 AMS in drug development: Exploring the current utility of AMS and future opportunities for absolute bioavailability and ADME investigations |
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185 | (1) |
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2 Introduction of the AMS technique |
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186 | (7) |
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3 Clinical study design definitions |
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193 | (2) |
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4 First drug development clinical study application of AMS |
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195 | (1) |
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5 Hybrid studies (macrotracer) |
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196 | (2) |
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6 Low tracer dose studies |
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198 | (1) |
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7 Concomitant microtracer: Design and delivery |
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199 | (3) |
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8 Improved efficiencies in drug development |
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202 | (2) |
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204 | (1) |
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205 | (1) |
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206 | (7) |
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II Drug metabolism enzymes, transporters and drug-drug interaction |
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7 Using in vitro methods to determine P450s responsible for metabolism and discrimination from other oxidative pathways |
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213 | (2) |
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2 Recombinant P450 assays |
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215 | (3) |
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3 Human liver microsome-based methods |
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218 | (5) |
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4 P450 vs FMO/AO metabolism |
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223 | (4) |
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5 Determination of fmCYP3A |
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227 | (2) |
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6 Regulatory guidance/risk assessment/examples |
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229 | (3) |
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7 Conclusion and future directions |
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232 | (1) |
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232 | (5) |
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8 Evaluation of the clearance mechanism of non-CYP-mediated drug metabolism and DDI as a victim drug |
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237 | (1) |
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2 UDP-glucuronosyltransferase (UGT) |
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238 | (7) |
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3 Flavin monooxygenase (FMO) |
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245 | (3) |
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4 Monoamine oxidase (MAO) |
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248 | (3) |
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251 | (2) |
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253 | (3) |
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7 Carboxylesterases (CES) |
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256 | (5) |
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8 Aldo-keto reductase (AKR) |
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261 | (3) |
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264 | (3) |
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267 | (1) |
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267 | (1) |
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267 | (6) |
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9 In vitro characterization and in vitro to in vivo predictions of drug-drug interactions |
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273 | (5) |
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2 In vitro assessment of metabolism-based drug interaction potential |
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278 | (14) |
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3 Quantitative in vitro to in vivo predictions |
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292 | (8) |
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4 Clinical drug interaction assessment |
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300 | (1) |
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301 | (1) |
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301 | (10) |
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10 Role of transporters in drug disposition and drug-drug interactions |
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311 | (1) |
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2 Overview of membrane transporters |
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312 | (6) |
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3 Clinical significance of transporter-mediated drug disposition and drug-drug interactions |
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318 | (2) |
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4 Tools to assess transporter liabilities in drug discovery and development |
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320 | (6) |
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5 Regulatory landscape of evaluating transporter-mediated drug interactions |
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326 | (3) |
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6 Challenges and perspectives on transporter-mediated drug interactions |
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329 | (2) |
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331 | (9) |
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11 Mechanisms and clinical relevance of pharmacokinetic-based clinical drug-drug interactions for drugs recently approved by the US Food and Drug Administration |
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Isabelle Ragueneau-Majlessi |
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340 | (1) |
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341 | (8) |
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3 Transporter-mediated DDIs |
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349 | (3) |
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4 PBPK modeling and simulations in DDI prediction |
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352 | (1) |
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353 | (1) |
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6 Other mechanisms: Absorption-based DDIs |
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354 | (2) |
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356 | (1) |
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356 | (3) |
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12 Quantifying drug metabolizing enzymes and transporters by LC-MS/MS proteomics |
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359 | (2) |
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2 Basic workflow of DMET quantitative proteomics |
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361 | (9) |
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3 Factors affecting DMET protein quantification |
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370 | (1) |
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4 Optimized quantitative analysis approaches |
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371 | (3) |
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5 Applications of quantitative DMET proteomics |
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374 | (3) |
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377 | (1) |
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378 | (9) |
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13 Protein drug-drug interactions for therapeutic modalities |
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387 | (2) |
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389 | (4) |
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3 TP-DDI observed in clinical studies |
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393 | (8) |
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4 Potential DDI between emerging modalities |
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401 | (3) |
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5 Risk assessment and strategies to evaluate potential TP-DDI |
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404 | (3) |
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6 Conclusion and future perspectives |
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407 | (1) |
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408 | (11) |
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III Strategy related to drug metabolism and safety |
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14 Metabolites in safety testing (MIST) |
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419 | (2) |
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2 Technological approaches for MIST assessment |
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421 | (8) |
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3 A typical MIST strategy |
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429 | (4) |
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4 Metabolite safety assessment beyond the MIST guidance documents |
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433 | (1) |
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5 Conclusion and future outlook |
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434 | (1) |
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435 | (4) |
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15 The use of stable isotopes in drug metabolism studies |
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439 | (1) |
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2 Use of stable labels for metabolite detection and identification |
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440 | (5) |
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445 | (12) |
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4 Conclusions and future perspectives |
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457 | (1) |
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457 | (4) |
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16 Assessment of stereoselectivity in pharmacology, toxicology, and drug metabolism |
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461 | (1) |
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2 Regulatory considerations on developing chiral drugs |
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462 | (1) |
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3 Stereoselectivity in pharmacodynamics |
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463 | (2) |
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4 Stereoselectivity in pharmacokinetics and ADME properties |
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465 | (6) |
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5 Stereoselectivity in toxicity |
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471 | (2) |
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6 Chiral inversion mechanisms |
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473 | (2) |
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7 Stereoselective analytical methods |
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475 | (5) |
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480 | (1) |
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480 | (7) |
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17 Progress of derisking strategies for drug-induced liver injury (DILI) in the last two decades |
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487 | (1) |
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2 Challenges in predicting DILI |
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487 | (9) |
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3 Mitochondrial impairment |
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496 | (1) |
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497 | (2) |
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5 Overarching derisking approaches independent of mechanism |
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499 | (4) |
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503 | (1) |
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504 | (3) |
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18 Predictive and translational models for renal drug safety evaluation |
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1 Background and introduction |
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507 | (3) |
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2 2D in vitro models for nephrotoxicity screening |
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510 | (4) |
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3 Emerging models for renal safety screening |
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514 | (6) |
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4 Translatable kidney safety biomarkers |
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520 | (3) |
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5 Context of use of in vitro PTEC models---Mechanistic vs. predictive |
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523 | (2) |
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6 Outlook and future perspectives |
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525 | (3) |
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528 | (7) |
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19 Immunogenicity: An introduction to its role in the safety and efficacy of biotherapeutics |
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535 | (1) |
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2 Overview of immunogenicity |
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536 | (1) |
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3 Overview of immune response mechanisms |
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537 | (5) |
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4 Humoral immunogenicity: Overall risk assessment and mitigation strategies |
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542 | (4) |
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5 Cellular immunogenicity risk assessments |
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546 | (2) |
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6 Mitigation strategy and case studies for cellular immunogenicity |
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548 | (2) |
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550 | (1) |
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550 | (1) |
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550 | (5) |
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IV Translational sciences |
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20 Application of genetically modified rodent models in drug discovery and development for translation of clinical ADME properties |
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555 | (3) |
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558 | (11) |
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3 Xenobiotic receptor KO models |
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569 | (3) |
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4 Humanized transgenic animal models |
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572 | (4) |
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5 Humanized liver chimeric mouse models |
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576 | (8) |
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6 Conclusions and future perspectives |
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584 | (1) |
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585 | (10) |
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21 Advances in CRISPR technologies enable novel in vitro tools for ADME studies |
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595 | (1) |
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2 In vitro applications of CRISPR |
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596 | (3) |
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3 Examples of CRISPR application in ADME studies in vitro |
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599 | (4) |
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4 Potential opportunities and limitations for CRISPR applications in ADME studies in vitro |
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603 | (2) |
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605 | (4) |
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22 In vitro-in vivo extrapolation of human hepatic and renal clearance |
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609 | (1) |
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2 ECCS framework to identify rate-determining process for CL |
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610 | (2) |
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3 Current IVIVE approaches to predict clearance |
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612 | (13) |
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625 | (1) |
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625 | (9) |
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23 The role of quantitative modeling and simulation in translational science |
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634 | (1) |
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2 Pharmacokinetic modeling |
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635 | (12) |
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3 Modeling pharmacodynamic response |
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647 | (4) |
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651 | (1) |
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652 | (5) |
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24 PK/PD-driven starting and effective human dose determination for immuno-oncology drugs |
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657 | (2) |
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2 Dose selection for immune-activating agents |
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659 | (3) |
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3 Dose selection for T-cell engaging bispecific molecules |
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662 | (2) |
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4 Dose selection for emerging class of I-O therapies |
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664 | (1) |
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665 | (1) |
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666 | (3) |
| Index |
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669 | |