New challenges and opportunities in nonclinical safety testing of biologics.

New challenges and opportunities in nonclinical safety testing of biologics were discussed at the 3rd European BioSafe Annual General Membership meeting in November 2013 in Berlin: (i)Approaches to refine use of non-human primates in non-clinical safety testing of biologics and current experience on the use of minipigs as alternative non-rodent species.(ii)Tissue distribution studies as a useful tool to support pharmacokinetic/pharmacodynamic (PKPD) assessment of biologics, in that they provide valuable mechanistic insights at drug levels at the site of action.(iii)Mechanisms of nonspecific toxicity of antibody drug conjugates (ADC) and ways to increase the safety margins.(iv)Although biologics toxicity typically manifests as exaggerated pharmacology there are some reported case studies on unexpected toxicity.(v)Specifics of non-clinical development approaches of noncanonical monoclonal antibodies (mAbs), like bispecifics and nanobodies.

Current challenges and opportunities in nonclinical safety testing of biologics.

Nonclinical safety testing of new biotherapeutic entities represents its own challenges and opportunities in drug development. Hot topics in this field have been discussed recently at the 2nd Annual BioSafe European General Membership Meeting. In this feature article, discussions on the challenges surrounding the use of PEGylated therapeutic proteins, selection of cynomolgus monkey as preclinical species, unexpected pharmacokinetics of biologics and the safety implications thereof are summarized. In addition, new developments in immunosafety testing of biologics, the use of transgenic mouse models and PK and safety implications of multispecific targeting approaches are discussed. Overall, the increasing complexity of new biologic modalities and formats warrants tailor-made nonclinical development strategies and experimental testing.

Influence of the compound selection process on the performance of human clearance prediction methods.

This is a commentary on the series of five manuscripts written as part of the Pharmaceutical Research and Manufacturers of America Clinical and Preclinical Development Committee initiative on predictive models of human pharmacokinetics (PK). In particular, we wish to comment on the third paper in the series, which describes the performance of prediction methods of human clearance (CL). Human CL prediction methods described in the third manuscript are fundamental to the work presented in manuscripts four and five on the prediction of human PK profiles. In this commentary, we examine the influence of the compound selection process by performing a probability analysis and examining the CL properties of compounds that are selected using an idealized drug discovery screening process focused on PK optimization. The results of the analysis suggest that the selection of screening species can influence the performance of various predictive models of human CL.

Projecting human pharmacokinetics of therapeutic antibodies from nonclinical data: what have we learned?

The pharmacokinetics (PK) of therapeutic antibodies is determined by target and non-target mediated mechanisms. These antibody-specific factors need to be considered during prediction of human PK based upon preclinical information. Principles of allometric scaling established for small molecules using data from multiple animal species cannot be directly applied to antibodies. Here, different methods for projecting human clearance (CL) from animal PK data for 13 therapeutic monoclonal antibodies (mAbs) exhibiting linear PK over the tested dose ranges were examined: simple allometric scaling (CL versus body weight), allometric scaling with correction factors, allometric scaling based on rule of exponent and scaling from only cynomolgus monkey PK data. A better correlation was obtained between the observed human CL and the estimated human CL based on cynomolgus monkey PK data and an allometric scaling exponent of 0.85 for CL than other scaling approaches. Human concentration-time profiles were also reasonably predicted from the cynomolgus monkey data using species-invariant time method with a fixed exponent of 0.85 for CL and 1.0 for volume of distribution. In conclusion, we expanded our previous work and others and further confirmed that PK from cynomolgus monkey alone can be successfully scaled to project human PK profiles within linear range using simplify allometry and Dedrick plots with fixed exponent.

Effects of charge on antibody tissue distribution and pharmacokinetics.

Antibody pharmacokinetics and pharmacodynamics are often governed by biological processes such as binding to antigens and other cognate receptors. Emphasis must also be placed, however, on fundamental physicochemical properties that define antibodies as complex macromolecules, including shape, size, hydrophobicity, and charge. Electrostatic interactions between anionic cell membranes and the predominantly positive surface charge of most antibodies can influence blood concentration and tissue disposition kinetics in a manner that is independent of antigen recognition. In this context, the deliberate modification of antibodies by chemical means has been exploited as a valuable preclinical research tool to investigate the relationship between net molecular charge and biological disposition. Findings from these exploratory investigations may be summarized as follows: (I) shifts in isoelectric point of approximately one pI unit or more can produce measurable changes in tissue distribution and kinetics, (II) increases in net positive charge generally result in increased tissue retention and increased blood clearance, and (III) decreases in net positive charge generally result in decreased tissue retention and increased whole body clearance. Understanding electrostatic interactions between antibodies and biological matrices holds relevance in biotechnology, especially with regard to the development of immunoconjugates. The guiding principles and knowledge gained from preclinical evaluation of chemically modified antibodies will be discussed and placed in the context of therapeutic antibodies that are currently marketed or under development, with a particular emphasis on pharmacokinetic and disposition properties.

Interplay of dissolution, solubility, and nonsink permeation determines the oral absorption of the Hedgehog pathway inhibitor GDC-0449 in dogs: an investigation using preclinical studies and physiologically based pharmacokinetic modeling.

Factors determining the pharmacokinetics of 2-chloro-N-(4-chloro-3-(pyridine-2-yl)phenyl)-4-(methylsulfonyl)benzamide (GDC-0449) were investigated using preclinical studies and physiologically based pharmacokinetic (PBPK) modeling. Multiple-dose studies where dogs were given twice-daily oral doses of either 7.5 or 25 mg/kg GDC-0449 showed less than dose-proportional increases in exposure on day 1. At steady state, exposures were comparable between the two dose groups. Oral administration of activated charcoal to dogs receiving oral or intravenous GDC-0449 (25 mg) showed a more rapid decrease in plasma concentrations, suggesting that the concentration gradient driving intestinal membrane permeation was reversible. The biliary clearance of GDC-0449 in dogs was low (0.04 ml/min/kg) and did not account for the majority of the estimated systemic clearance (approximately 19% of systemic clearance). Likewise, in vitro studies using sandwich-cultured human hepatocytes showed negligible biliary excretion. The effect of particle size on oral absorption was shown in a single-dose study where 150 mg of GDC-0449 of two particle sizes was administered. An oral PBPK model was used to investigate mechanisms determining the oral pharmacokinetics of GDC-0449. The overall oral absorption of GDC-0449 appears to depend on the interplay between the dissolution and intestinal membrane permeation processes. A unique feature of GDC-0449 distinguishing it from other Biopharmaceutical Classification System II compounds was that incorporation of the effects of solubility rate-limited absorption and nonsink permeation on the intestinal membrane permeation process was necessary to describe its pharmacokinetic behavior.

Utility of physiologically based pharmacokinetic models to drug development and rational drug discovery candidate selection.

The present paper proposes a modeling and simulation strategy for the prediction of pharmacokinetics (PK) of drug candidates by using currently available in silico and in vitro based prediction tools for absorption, distribution, metabolism and excretion (ADME). These methods can be used to estimate specific ADME parameters (such as rate and extent of absorption into portal vein, volume of distribution, metabolic clearance in the liver). They can also be part of a physiologically based pharmacokinetic (PBPK) model to simulate concentration-time profiles in tissues and plasma resulting from the overall PK after intravenous or oral administration. Since the ADME prediction tools are built only on commonly generated in silico and in vitro data, they can be applied already in early drug discovery, prior to any in vivo study. With the suggested methodology, the following advantages of the mechanistic PBPK modeling framework can now be utilized to explore potential clinical candidates already in drug discovery: (i) prediction of plasma (blood) and tissue PK of drug candidates prior to in vivo experiments, (ii) supporting a better mechanistic understanding of PK properties, as well as helping the development of more rationale PK-PD relationships from tissue kinetic data predicted, and hence facilitating a more rational decision during clinical candidate selection, and (iii) the extrapolation across species, routes of administration and dose levels.