Literature DB >> 17180621

Plasma protein distribution and its impact on pharmacokinetics of liposomal amphotericin B in paediatric patients with malignant diseases.

Ying Hong1, Peter J Shaw, Bruce N Tattam, Christa E Nath, John W Earl, Katherine R Stephen, Andrew J McLachlan.   

Abstract

OBJECTIVE: This study investigates the association of liposomal amphotericin B (L-AmB) with plasma proteins and its impact on the pharmacokinetics of L-AmB in paediatric patients with malignant diseases.
METHODS: Paediatric oncology patients (n = 39) who received multiple-doses of L-AmB were recruited into this study. The association of the drug with plasma lipoprotein was investigated using single vertical spin density gradient ultracentrifugation and quantitated with a validated HPLC assay. The unbound amphotericin B (AmB) in the plasma was separated by ultrafiltration and determined with a validated LC/MS/MS assay.
RESULTS: The ex vivo lipoprotein distribution of L-AmB found that 68.3 +/- 11.8% of the drug was associated with the high density lipoprotein (HDL) fraction, which demonstrated a significant inverse correlation with posterior Bayesian estimates of L-AmB clearance (r = -0.690, p < 0.01). The average of unbound fraction of AmB in plasma of patients administered with L-AmB was 0.005, but its relationship with L-AmB clearance did not reach a statistical significance.
CONCLUSION: L-AmB displays different lipoprotein distribution profile from that of the conventional AmB formulation, with L-AmB preferentially associated with HDL in plasma. The inverse correlation of L-AmB clearance to its HDL distribution contributes to the difference in the pharmacokinetic profile of L-AmB.

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Year:  2006        PMID: 17180621     DOI: 10.1007/s00228-006-0240-x

Source DB:  PubMed          Journal:  Eur J Clin Pharmacol        ISSN: 0031-6970            Impact factor:   2.953


  31 in total

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Authors: 
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