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Drug Targeting Organ-Specific Strategies

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340 13 Pharmacokinetic/Pharmacodynamic Modelling in <strong>Drug</strong> <strong>Targeting</strong><br />

Usually, the differential equations are written in a different form, by relating the rate of<br />

transport from a compartment to the quantity of the drug in that compartment and a rate<br />

constant (dimension: time -1 ), as depicted in Figure 13.2. and formulated as follows.<br />

dA 1 = R1 + k 21 · A 2 – k 12 · A 1 – k 10 · A 1<br />

dt<br />

(13.2)<br />

where A 1 is the quantity of the drug in compartment 1, k 12 and k 21 are distribution rate<br />

constants and k 10 is the elimination rate constant.<br />

Comparing Eq. 13.1 and 13.2, it follows that a rate constant k xy is equal to CL xy / V x.<br />

From the assumption that there is no net transport between two compartments if the concentrations<br />

in both compartments are equal, it follows that<br />

k 21 · V 2 = k 12 · V 1 (= CL 21 = CL 12).<br />

Eq. 13.1 and 13.2 are mathematically equivalent, and thus may be used arbitrarily without<br />

affecting the modelling results. However, Eq. 13.1 (and Figure 13.1) is preferred since it reflects<br />

better the mechanistic basis, as drug transport is governed by drug concentration, both<br />

for passive diffusion according to Fick’s Law, and for carrier-mediated transport. In the case<br />

of the latter, the terms referring to the rate of transport from compartment x to compartment<br />

y,<br />

CL xy · C x<br />

should be replaced by their Michaelis–Menten equivalent<br />

Vmaxxy · Cx Kmxy + Cx (13.3)<br />

(13.4)<br />

where Vmax xy is the maximum transport rate between compartments x and y, and Km xy is<br />

the Michaelis–Menten constant of the transport between x and y.<br />

An example of the use of Michaelis–Menten kinetics in a compartmental model is given in<br />

the model of Stella and Himmelstein [5], depicted in Figure 13.3.<br />

13.2.4.2 Physiologically-based Pharmacokinetic (PB-PK) Models<br />

These are relatively complex models describing drug transport between blood and a series of<br />

physiological and/or anatomical entities, for example, organs, tissues, or cells [15–20]. PB-PK<br />

models are characterized by a relative large number of parameters. In many cases, several of<br />

these can be estimated from physiology or anatomy (for example, blood flow and volumes),<br />

others may be obtained from in vitro experiments (for example, partition coefficients between<br />

water and tissue), or by experiments in isolated tissues (for example, binding and metabolism<br />

in isolated liver cells or slices; see Chapter 12). In principle, PB-PK models are well<br />

adapted to take into account the extracellular and/or intracellular events in the disposition of<br />

the targeting device.<br />

The number of compartments in a physiologically-based pharmacokinetic model may vary<br />

between two (in drug targeting: a target compartment and a non-target compartment) and 10<br />

or more, depending on the desired degree of differentiation. The more compartments, the<br />

greater the ability of the model to define the true behaviour of the drug. However, the in-

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