rel="nofollow" href="#ulink_12fd7b28-9063-5067-9e76-638ed592a07b">REFERENCES
CASE STUDY 11: RENAL IMPAIRMENT
S11.1 IMPACT OF RENAL IMPAIRMENT ON THE PHARMACOKINETICS OF GENTAMICIN
S11.2 RESULTS
REFERENCES
CASE STUDY 12: ABSORPTION – IVIVC
S12.1 KEY QUESTION
S12.2 BACKGROUND
S12.3 OBJECTIVES
S12.4 DATA
S12.5 MODELING STRATEGY
S12.6 MODELING WORKFLOW
S12.7 SENSITIVITY ANALYSIS
S12.8 CONCLUSION
REFERENCES
12 APPENDICES APPENDIX A: PHYSIOLOGICAL PARAMETERS IN PRECLINICAL SPECIES Appendix B: Human References
13 INDEX
List of Tables
1 Chapter 1TABLE 1.1. Plasma proteins.TABLE 1.2. Role of transporters in ADME.TABLE 1.3. Impact of changes in biological parameters on pharmacokinetic pr...TABLE 1.4. Optimization of pharmacokinetics – what? how? and why? (Source: ...TABLE 1.5. Classes of Pharmacological TargetsTABLE 1.6. Examples of different types of biomarkers.
2 Chapter 2TABLE 2.1. Overview of key enzymes and transporters at different sites rele...
3 Chapter 3TABLE 3.1. Parameter estimation in noncompartmental and compartmental analy...TABLE 3.2. Influence of different parameters on the 4 different phases of a...TABLE 3.3. Typical parameters in a TMDD model and their translation to huma...TABLE 3.4. TMDD model approximationsTABLE 3.5. Derivation of initial estimates ofIC50 (or EC50), kin, and k TABLE 3.6. Examples of tolerance models.
4 Chapter 4TABLE 4.1. Influx or uptake transporter families.TABLE 4.2. Abundance of drug‐metabolizing enzymes (DME) in the human gut.TABLE 4.3. SI secretions.TABLE 4.4. Physiological and anatomical features of pre‐clinical species co...TABLE 4.5. Formulations for drugs with different physicochemical profiles.
5 Chapter 5TABLE 5.1. Drugs confined to different physiological volumes.TABLE 5.2. Methods to determine the unbound volume, rate, and extent of dru...
6 Chapter 6TABLE 6.1. In vitro models for assessment of hepatic metabolism and hepatobiliary...
7 Chapter 8TABLE 8.1. Human immunoglobulins.TABLE 8.2. PK of therapeutic proteins and antibodies.TABLE 8.3. Physiological and compound dependent parameters.
8 Chapter 9TABLE 9.1. Sources of uncertainty in drug‐ and system‐related parameters.TABLE 9.2. Factors contributing to variability in physiological and anatomi...
9 Chapter 10TABLE 10.1. Different stages of preclinical and clinical development.
10 Chapter 12TABLE 12.1 Signature discrepancies of simulated and observed PK profiles an...TABLE 12.2 Impact of identifying mechanisms underlying PK profiles in drug ...
11 Chapter 14TABLE 14.1 Key questions related to drug–drug interactions during clinical ...TABLE 14.2 Study considerations for dedicated clinical drug interaction stu...
12 Chapter 15TABLE 15.1 Factors contributing to differences in absorption, distribution,...
13 Chapter 16TABLE 16.1 Classification of hepatic function based on Child‐Pugh scorea.TABLE 16.2 Classification of renal function based on estimated glomerular f...
14 Chapter 17TABLE 17.1 Potential problems with poor solubility drugs and their conseque...TABLE 17.2 Factors impacting drug absorption.TABLE 17.3 Criteria on excipient and in vitro dissolution to qualify for a ...
15 Chapter 18TABLE 18.1 Comparison of terminology in risk‐informed evidentiary framework...
16 Case Study 1TABLE S1.1 Model parameters for the investigational drug.
17 Case Study 2TABLE S2.1 Model parameters for the investigational drug. Modified from Pet...
18 Case Study 3TABLE S3.1 Model parameters for the investigational drug. Modified from Pet...
19 Case Study 4TABLE S4.1 Model parameters for ciprofloxacin.TABLE S4.2 Bacterial growth model.TABLE S4.3 Adaptive resistance.
20 Case Study 5TABLE S5.1 Compound parameters for the perpetrators and victim of drug inte...
21 Case Study 6TABLE S6.1 Model parameters for Rifampicin and Midazolam.TABLE S6.2 Dosing scenarios based on observed DDI studies.
22 Case Study 7TABLE S7.1 Model parameters for risperidone and 9‐hydroxyrisperidone (Knell...TABLE S7.2 Phenotype‐related input parameter for CYP2D6 and CYP3A4 activity...TABLE S7.3 Population characteristics based on observed risperidone study b...
23 Case Study 8TABLE S8.1 Physiological changes in pediatric population.TABLE S8.2 Morphine – compound‐related model input parameters.TABLE S8.3 Morphine: clinical trial demographics.
24 Case Study 9TABLE S9.1 Model parameters for metronidazole by Dallmann et al. (2018).TABLE S9.2 Dosing scenarios and population characteristics based on observe...
25 Case Study 10TABLE S10.1 Pathophysiological alterations in liver cirrhosis (Edginton and...TABLE S10.2 Model parameters for midazolam and lidocaine.TABLE S10.3 Dosing scenarios and population characteristics based on observ...
26 Case Study 11TABLE S11.1 Pathophysiological alterations in chronic kidney disease. Schmu...TABLE S11.2 Model parameters for gentamicin.TABLE S11.3 Gentamicin dosing scenarios
