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Pharmacokinetics and
  Pharmacodynamics


    Dr. Bhaswat S Chakraborty
Senior VP, Research and Development
     Cadila Pharmaceuticals Ltd.
Contents
• Definitions
• Basic concepts
    – Pharmacokinetics (PK)
    – Pharmacodynamics (PD)
•   PK-PD relationship and modeling
•   Contexts of modeling
•   PK-PD in new drug development
•   Predictive usefulness
•   Population PK-PD
•   Case studies
•   Conclusions
Pharmacokinetics and
 Pharmacodynamics
Plasma   Conc. at
        Conc.    Site of
                 action




Dose                       Effect
What is the objective of any
               pharmacotherapy?
      To deliver effective (preferably optimal) therapeutic benefit

               ~75%                   Efficacy
Efficacy




                                                 Toxicity




                                            ~5%

                               With no or very low toxicity
                         Concentration
PK-PD: conceptual understanding
        through interactions
• Fluoxetine increases plasma
  concentrations of amitriptyline. This is a
  pharmacokinetic drug interaction.

• Fluoxetine inhibits the metabolism of
  amitriptyline and increases the plasma
  concentration of amitriptytline.
PK-PD: conceptual understanding
         through interactions
• If fluoxetine is given with tramadol serotonin
  syndrom can result. This is a pharmacodynamic
  drug interaction.

• Fluoxetine and tramadol both increase
  availability of serotonin leading to the possibility
  of “serotonin overload” This happens without a
  change in the concentration of either drug.
Pharmacokinetics
• Helps understand
  – Safe and tolerable levels of exposure
  – Dose
  – Dosing regimen
  – Optimization od dosage form
  – Fate (LADME)
Inter-subject variation in pharmacokinetics

• Patients may have very different absorption, distribution, or
  elimination characteristics
• Thus, attained plasma concentration profiles may differ
  considerably among patients following the same dosing
  regimen
• Identify patient characteristics such as sex, age, weight, renal
  function that have a systematic effect on PK behavior, and
  adjust dosing accordingly
• If there is substantial inter-subject variability in kinetic
  behavior that cannot be controlled, and if the therapeutic
  window is narrow, some monitoring of attained
  concentrations, with subsequent individualization of dosing,
  may be needed
                                                      Source: David Giltinan
Pharmacodynamics
• Drug-response or concentration-response
  relationships
  – Effect on body
  – Effect on microorganisms or tumors in the body
• Mechanism of action
  – Drug-receptor interactions
  – Ligand- receptor dynamics
  – Signal transduction
• Therapeutic window
Summary of important PK principles
• Initial drug concentration = loading dose x F / Vd
• Steady-state concentration =
   – Fraction absorbed x maintenance dose / dosing
        interval x clearance
   – Or; F x D / dose interval x CL
• t1/2 = 0.7 x Vd / CL

• Vd is important for determining loading dose
• CL is important for determining maintenance dose
• t1/2 is important for determining time to steady state


                                                       Source: internet
Calculating doses – loading dose
• Sometimes we want to promptly raises plasma
  concentration of a drug
  – mostly true with drugs that have long half-lives
• This can be done with a loading dose
• Loading dose = amount in body immediately
  following the dose
• Loading dose = Vd x TC




                                                       Source: internet
Calculating doses – maintenance dose
 • Usually we want to maintain a steady-state level of drug
   in the body
 • Rate in must equal rate out
    – dosing rate = rate of elimination
    – dosing rate = CL x TC (target concentration)
 • If bioavailability is < 1.0 dosing rate needs to be modified
    – dosing rate (oral) = dosing rate / F(oral)
 • If dosing is intermittent (e.g., oral tablets)
    – maintenance dose = dosing rate x dosing interval
IV Loading Dose & Maintenance Dose

            Loading Dose
    Conc.




                                  Maintenance Dose




                           Time
A Note on Initial Target Concentration
•   Target concentraion has been taken very low because of reported EM
    mean concentration of ~0.15 ng/mL at steady state (how do you
    reconcile 28 ng/mL from one paper and trough conc. of 0.40 ng/mL
    from another?)
•   Oral Cpss has built up from repeat doses: if you directly put an IV which
    would give you a C0 concentration of 28 ng/mL, it may result in
    hypotension.

•   If you take an initial value of IV dose of 1 mg/day, then
    Ctarget       = Cpss/Doral * Foral
                  = 28/5000 * 0.12
                  = 0.047 ng/mL
Loading Dose

Loading Dose = Ctarget * Vd / F


              = 0.05 μg/L* 786 L / 0.12

              = 0.327 mg/day

             Therefore, Loading dose ~ 0.350 mg/day
Maintenance Dose

Maintenance Dose = Ctarget * Clearance * Tau / F


              = 0.05 μg/L * 61.6 L/h * 24 h / 0.12
              = 0.616 mg


             Therefore, Maintenance dose = 0.6 mg/day

                              Note: T1/2 (~15 h) < Tau (24 h)
Simulation with a single dose of 0.5 mg/day
Simulation with loading and maintenance doses
                of 0.5 mg/day
What have we learnt so far from calculations and
                 simulations?
• If the model is reasonably correct,
   – C0 is ~0.16 ng/mL from an IV bolus dose of 0.5 mg/day
   – This coincides with the trough conc. of one isomer following oral
     dosing of 5 mg/day
   – Kel is 0.04, i.e., T1/2 is ~17 hr
• The 0.5 mg dose accumulates upon repetition
   – This will give a true steady state
   – Accumulation factor of 1.6 when dosed every 24 hr
   – Accumulation factor of 2.6 when dosed every 12 hr
       • Assuming an initial Cmax of 1.0 ng/mL
Effect of sitagliptine on blood pressure in
   non-diabetic hypertensive patients




                            Mistry et al., J Clin Pharmacol 2008;48:592-598
Effect of sitagliptine on systoloic &diastolic blood
 pressures in non-diabetic hypertensive patients




                                 Mistry et al., J Clin Pharmacol 2008;48:592-598
Effect of sitagliptine on systoloic &diastolic blood
     pressures in non-diabetic hypertensive patients
•    Many patients with type 2 diabetes have hypertension and may receive
     concomitant therapy with one or more antihypertensive agents and
     antihyperglycemic therapies that may impact BP control.
•    Thus, the effects of sitagliptin on BP (positive or negative) was assessed in
     a highly controlled setting in patients with mild to moderate hypertension
     who take one or more antihypertensive agents.
•    Sitagliptin produced small and mostly significant reductions in ambulatory
•    SBP and DBP on the order of 2 to 3 mm Hg in the acute state (day 1) and
     at steady state (day 5).
•    These reductions are not considered to represent a potential safety issue
     and may even be a potential therapeutic benefit in diabetic patients with
     elevated BP.
• Diabetic patients with hypertension may receive additional
  vascular benefits with their antihypertensive drugs combined
  with an antihyperglycemic agent that improves glycemic
  control and also lowers BP.
                                                      Mistry et al., J Clin Pharmacol 2008;48:592-598
Population PK-PD of Warfarin




                Yuen et al., J Pharmacokinet Pharmacodyn (2010) 37:3–24
Population PK-PD of Warfarin




PCA= Prothrombin complex activity, the PD parameter, PCA0 is PCA in the absence of
warfarin, kd is the degradation rate constant of PCA, Cgamma,s is the S-warfarin conc.,
Cgamma,50,s is the conc. of S-warfarin which reduces the synthesis rate by 50% and gamma
is a shape parameter .                               Yuen et al., J Pharmacokinet Pharmacodyn (2010) 37:3–24
Population PK-PD of Warfarin




                Yuen et al., J Pharmacokinet Pharmacodyn (2010) 37:3–24
Population PK-PD of Warfarin




                Yuen et al., J Pharmacokinet Pharmacodyn (2010) 37:3–24
Simulated steady state S-warfarin plasma concentrations following a 5 mg racemic
warfarin dose with 90% prediction intervals in CYP2C9 wt/wt or *2/wt and *3/wt subjects
(medians shown in bold).

                                                  Yuen et al., J Pharmacokinet Pharmacodyn (2010) 37:3–24
Population PK-PD of Warfarin
• Ethnic differences in warfarin maintenance doses have been
  documented amongst the three major Asian ethnic groups
  (Chinese, Malay and Indian) in Singapore.
• Oberved steady state concentrations and simulations showed
  that whilst CYP2C9 polymorphisms affect the PK of warfarin,
  VKORC1 haplotypes may be better predictors of warfarin
  response.
• 90% of Chinese subjects had the VKORC1 H1 haplotype and
  100% of Indian subjects the H7 haplotype in this study.
• Ethnic differences in warfarin response in this study appear to
  be linked to differences in VKORC1 haplotypes (rather than
  CYP2C9 genotypes).


                                   Yuen et al., J Pharmacokinet Pharmacodyn (2010) 37:3–24
Thank You for Your Attention

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Pharmacokinetics and Pharmacodynamics

  • 1. Pharmacokinetics and Pharmacodynamics Dr. Bhaswat S Chakraborty Senior VP, Research and Development Cadila Pharmaceuticals Ltd.
  • 2. Contents • Definitions • Basic concepts – Pharmacokinetics (PK) – Pharmacodynamics (PD) • PK-PD relationship and modeling • Contexts of modeling • PK-PD in new drug development • Predictive usefulness • Population PK-PD • Case studies • Conclusions
  • 4. Plasma Conc. at Conc. Site of action Dose Effect
  • 5.
  • 6. What is the objective of any pharmacotherapy? To deliver effective (preferably optimal) therapeutic benefit ~75% Efficacy Efficacy Toxicity ~5% With no or very low toxicity Concentration
  • 7.
  • 8. PK-PD: conceptual understanding through interactions • Fluoxetine increases plasma concentrations of amitriptyline. This is a pharmacokinetic drug interaction. • Fluoxetine inhibits the metabolism of amitriptyline and increases the plasma concentration of amitriptytline.
  • 9. PK-PD: conceptual understanding through interactions • If fluoxetine is given with tramadol serotonin syndrom can result. This is a pharmacodynamic drug interaction. • Fluoxetine and tramadol both increase availability of serotonin leading to the possibility of “serotonin overload” This happens without a change in the concentration of either drug.
  • 10. Pharmacokinetics • Helps understand – Safe and tolerable levels of exposure – Dose – Dosing regimen – Optimization od dosage form – Fate (LADME)
  • 11. Inter-subject variation in pharmacokinetics • Patients may have very different absorption, distribution, or elimination characteristics • Thus, attained plasma concentration profiles may differ considerably among patients following the same dosing regimen • Identify patient characteristics such as sex, age, weight, renal function that have a systematic effect on PK behavior, and adjust dosing accordingly • If there is substantial inter-subject variability in kinetic behavior that cannot be controlled, and if the therapeutic window is narrow, some monitoring of attained concentrations, with subsequent individualization of dosing, may be needed Source: David Giltinan
  • 12. Pharmacodynamics • Drug-response or concentration-response relationships – Effect on body – Effect on microorganisms or tumors in the body • Mechanism of action – Drug-receptor interactions – Ligand- receptor dynamics – Signal transduction • Therapeutic window
  • 13. Summary of important PK principles • Initial drug concentration = loading dose x F / Vd • Steady-state concentration = – Fraction absorbed x maintenance dose / dosing interval x clearance – Or; F x D / dose interval x CL • t1/2 = 0.7 x Vd / CL • Vd is important for determining loading dose • CL is important for determining maintenance dose • t1/2 is important for determining time to steady state Source: internet
  • 14. Calculating doses – loading dose • Sometimes we want to promptly raises plasma concentration of a drug – mostly true with drugs that have long half-lives • This can be done with a loading dose • Loading dose = amount in body immediately following the dose • Loading dose = Vd x TC Source: internet
  • 15. Calculating doses – maintenance dose • Usually we want to maintain a steady-state level of drug in the body • Rate in must equal rate out – dosing rate = rate of elimination – dosing rate = CL x TC (target concentration) • If bioavailability is < 1.0 dosing rate needs to be modified – dosing rate (oral) = dosing rate / F(oral) • If dosing is intermittent (e.g., oral tablets) – maintenance dose = dosing rate x dosing interval
  • 16. IV Loading Dose & Maintenance Dose Loading Dose Conc. Maintenance Dose Time
  • 17. A Note on Initial Target Concentration • Target concentraion has been taken very low because of reported EM mean concentration of ~0.15 ng/mL at steady state (how do you reconcile 28 ng/mL from one paper and trough conc. of 0.40 ng/mL from another?) • Oral Cpss has built up from repeat doses: if you directly put an IV which would give you a C0 concentration of 28 ng/mL, it may result in hypotension. • If you take an initial value of IV dose of 1 mg/day, then Ctarget = Cpss/Doral * Foral = 28/5000 * 0.12 = 0.047 ng/mL
  • 18. Loading Dose Loading Dose = Ctarget * Vd / F = 0.05 μg/L* 786 L / 0.12 = 0.327 mg/day Therefore, Loading dose ~ 0.350 mg/day
  • 19. Maintenance Dose Maintenance Dose = Ctarget * Clearance * Tau / F = 0.05 μg/L * 61.6 L/h * 24 h / 0.12 = 0.616 mg Therefore, Maintenance dose = 0.6 mg/day Note: T1/2 (~15 h) < Tau (24 h)
  • 20. Simulation with a single dose of 0.5 mg/day
  • 21. Simulation with loading and maintenance doses of 0.5 mg/day
  • 22. What have we learnt so far from calculations and simulations? • If the model is reasonably correct, – C0 is ~0.16 ng/mL from an IV bolus dose of 0.5 mg/day – This coincides with the trough conc. of one isomer following oral dosing of 5 mg/day – Kel is 0.04, i.e., T1/2 is ~17 hr • The 0.5 mg dose accumulates upon repetition – This will give a true steady state – Accumulation factor of 1.6 when dosed every 24 hr – Accumulation factor of 2.6 when dosed every 12 hr • Assuming an initial Cmax of 1.0 ng/mL
  • 23. Effect of sitagliptine on blood pressure in non-diabetic hypertensive patients Mistry et al., J Clin Pharmacol 2008;48:592-598
  • 24. Effect of sitagliptine on systoloic &diastolic blood pressures in non-diabetic hypertensive patients Mistry et al., J Clin Pharmacol 2008;48:592-598
  • 25. Effect of sitagliptine on systoloic &diastolic blood pressures in non-diabetic hypertensive patients • Many patients with type 2 diabetes have hypertension and may receive concomitant therapy with one or more antihypertensive agents and antihyperglycemic therapies that may impact BP control. • Thus, the effects of sitagliptin on BP (positive or negative) was assessed in a highly controlled setting in patients with mild to moderate hypertension who take one or more antihypertensive agents. • Sitagliptin produced small and mostly significant reductions in ambulatory • SBP and DBP on the order of 2 to 3 mm Hg in the acute state (day 1) and at steady state (day 5). • These reductions are not considered to represent a potential safety issue and may even be a potential therapeutic benefit in diabetic patients with elevated BP. • Diabetic patients with hypertension may receive additional vascular benefits with their antihypertensive drugs combined with an antihyperglycemic agent that improves glycemic control and also lowers BP. Mistry et al., J Clin Pharmacol 2008;48:592-598
  • 26.
  • 27. Population PK-PD of Warfarin Yuen et al., J Pharmacokinet Pharmacodyn (2010) 37:3–24
  • 28. Population PK-PD of Warfarin PCA= Prothrombin complex activity, the PD parameter, PCA0 is PCA in the absence of warfarin, kd is the degradation rate constant of PCA, Cgamma,s is the S-warfarin conc., Cgamma,50,s is the conc. of S-warfarin which reduces the synthesis rate by 50% and gamma is a shape parameter . Yuen et al., J Pharmacokinet Pharmacodyn (2010) 37:3–24
  • 29. Population PK-PD of Warfarin Yuen et al., J Pharmacokinet Pharmacodyn (2010) 37:3–24
  • 30. Population PK-PD of Warfarin Yuen et al., J Pharmacokinet Pharmacodyn (2010) 37:3–24
  • 31. Simulated steady state S-warfarin plasma concentrations following a 5 mg racemic warfarin dose with 90% prediction intervals in CYP2C9 wt/wt or *2/wt and *3/wt subjects (medians shown in bold). Yuen et al., J Pharmacokinet Pharmacodyn (2010) 37:3–24
  • 32. Population PK-PD of Warfarin • Ethnic differences in warfarin maintenance doses have been documented amongst the three major Asian ethnic groups (Chinese, Malay and Indian) in Singapore. • Oberved steady state concentrations and simulations showed that whilst CYP2C9 polymorphisms affect the PK of warfarin, VKORC1 haplotypes may be better predictors of warfarin response. • 90% of Chinese subjects had the VKORC1 H1 haplotype and 100% of Indian subjects the H7 haplotype in this study. • Ethnic differences in warfarin response in this study appear to be linked to differences in VKORC1 haplotypes (rather than CYP2C9 genotypes). Yuen et al., J Pharmacokinet Pharmacodyn (2010) 37:3–24
  • 33. Thank You for Your Attention

Editor's Notes

  1. The effect of sitagliptin, a dipeptidyl peptidase-4 inhibitor, on ambulatory blood pressure was assessed in nondiabetic patients with mild to moderate hypertension in a randomized, double-blind, placebo-controlled, 3-period crossover study.
  2. The effect of sitagliptin, a dipeptidyl peptidase-4 inhibitor, on ambulatory blood pressure was assessed in nondiabetic patients with mild to moderate hypertension in a randomized, double-blind, placebo-controlled, 3-period crossover study.
  3. The effect of sitagliptin, a dipeptidyl peptidase-4 inhibitor, on ambulatory blood pressure was assessed in nondiabetic patients with mild to moderate hypertension in a randomized, double-blind, placebo-controlled, 3-period crossover study.