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Influence of Molecular size on the clearance of antibody fragments.
Li, Zhe; Krippendorff, Ben-Fillippo; Shah, Dhaval K.
Affiliation
  • Li Z; Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, Buffalo, New York, 14214-8033, USA.
  • Krippendorff BF; Roche Pharmaceutical Research and Early Development, Pharmaceutical Sciences, Quantitative Systems Pharmacology, Roche Innovation Center Basel, CH-4070, Basel, Switzerland.
  • Shah DK; Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, Buffalo, New York, 14214-8033, USA. dshah4@buffalo.edu.
Pharm Res ; 34(10): 2131-2141, 2017 Oct.
Article in En | MEDLINE | ID: mdl-28681164
ABSTRACT

PURPOSE:

To establish a continuous relationship between the size of various antibody fragments and their systemic clearance (CL) in mice.

METHODS:

Two different orthogonal approaches have been used to establish the relationship. First approach uses CL values estimated by non-compartmental analysis (NCA) to establish a correlation with protein size. The second approach simultaneously characterizes the PK data for all the proteins using a 2-compartment model to establish a relationship between protein size and pharmacokinetic (PK) parameters.

RESULTS:

Simple mathematical functions (e.g. sigmoidal, power law) were able to characterize the CL vs. protein size relationship generated using the investigated proteins. The relationship established in mouse was used to predict rat, rabbit, monkey, and human relationships using allometric scaling. The predicted relationships were found to capture the available spares data from each species reasonably well.

CONCLUSIONS:

The CL vs. protein size relationship is important for establishing a robust quantitative structure-PK relationship (QSPKR) for protein therapeutics. The relationship presented here can help in a priori predicting plasma exposure of therapeutic proteins, and together with our previously established relationship between plasma and tissue concentrations of proteins, it can predict the tissue exposure of non-binding proteins simply based on molecular weight/radius and dose.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Immunoglobulin Fragments / Models, Biological / Antibodies, Monoclonal Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Pharm Res Year: 2017 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Immunoglobulin Fragments / Models, Biological / Antibodies, Monoclonal Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Pharm Res Year: 2017 Document type: Article Affiliation country: United States