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. 2019 Nov 16;8(12):931–939. doi: 10.1002/psp4.12472

Table 1.

Paclitaxel pharmacokinetic parameter estimation and precision (CV%) in mouse plasma and tissue using the proposed PBPK model

Organ Parameter NCA estimated PBPK estimated CV% 2.5% CI 97.5% CI Difference, %
Spleen K s 0.73 0.83 14.06 0.59 1.06 10.97
Kidney K k 1.03 1 13.41 0.73 1.28 2.34
Heart K h 0.49 0.54 13.95 0.38 0.69 7.78
Lung K lu 0.78 0.77 13.67 0.56 0.99 1.26
Liver K l 2.74 2.8 13.66 2.02 3.58 1.99
  Clint,H (mL/hour) 89.26 79.72 11.7 60.69 98.74 11.97
Gut K g 1.32 1.61 14.23 1.14 2.08 18.09
Muscle K m 0.38 0.37 13.87 0.27 0.48 1.27
Fat K f 0.61 0.58 13.95 0.42 0.75 5.6
Brain K br 0.03 0.03 13.65 0.03 0.04 8.36
Remainder K r   0.52 35.05 0.15 0.9  
  PSr (mL/hour)   43 14.85 29.98 56.02  
  K ISF   2.63 29.47 1.05 4.21  

CI, confidence interval; CV%, coefficient of variation; NCA, noncompartmental pharmacokinetic analysis; PBPK, physiologically‐based pharmacokinetic; Ks, spleen partition coefficient; Kk, kidney partition coefficient; Kh, heart partition coefficient; Klu, lung partition coefficient; Kl, liver partition coefficient; Kg, gut partition coefficient; Km, muscle partition coefficient; Kf, fat partition coefficient; Hbr, brain partition coefficient; Kr, reminder partition coefficient; Clint,H, intrinsic clearance; PSr, permeability surface area conduct; KISF, interstitial fluid partition coefficient.