Nasal absorption of oxycodone predicted using a novel computational fluid dynamics-physiologically based pharmacokinetic model.

Oxycodone hydrochloride (HCl) extended release (ER) tablet is an abuse-deterrent formulation that uses a physical barrier to make it more difficult to crush tablets prior to abuse via various routes. A previously conducted in vivo pharmacokinetics (PK) study showed that particle size exhibited significant effects on PK. Here, a computational modeling study using a novel combined computational fluid dynamics and physiologically based PK model was applied to better understand the mechanisms that produce differences in PK according to particle size and formulation type for nasally insufflated oxycodone HCl immediate release (IR) and ER tablets.

Use of the Same Model or Modeling Strategy Across Multiple Submissions: Focus on Complex Drug Products.

Evidence shows that there is an increasing use of modeling and simulation to support product development and approval for complex generic drug products in the USA, which includes the use of mechanistic modeling and model-integrated evidence (MIE). The potential for model reuse was the subject of a workshop session summarized in this review, where the session included presentations and a panel discussion from members of the U.S.

In Silico Methods for Development of Generic Drug-Device Combination Orally Inhaled Drug Products.

The development of generic, single-entity, drug-device combination products for orally inhaled drug products is challenging in part because of the complex nature of device design characteristics and the difficulties associated with establishing bioequivalence for a locally acting drug product delivered to the site of action in the lung. This review examines in silico models that may be used to support the development of generic orally inhaled drug products and how model credibility may be assessed.

Impact of Vehicle Physicochemical Properties on Modeling-Based Predictions of Cyclosporine Ophthalmic Emulsion Bioavailability and Tear Film Breakup Time.

Several physicochemical parameters are thought to affect in vivo performance of cyclosporine ophthalmic emulsion, including globule size distribution, viscosity profile as a function of applied shear, pH, zeta potential, osmolality, and surface tension. Using a modeling approach, this study predicts cyclosporine ophthalmic emulsion drug bioavailability to the cornea and conjunctiva and tear film breakup time for human subjects as a function of the vehicle physicochemical properties viscosity, surface tension, and osmolality for products that are qualitatively (Q1) and quantitatively (Q2) the same. The change in tear film breakup time from baseline, a potential indirect measure of therapeutic benefit, was predicted to characterize the direct effect of the vehicle on efficacy.

Application of Physiologically Based Absorption Modeling for Amphetamine Salts Drug Products in Generic Drug Evaluation.

Amphetamine (AMP) salts-based extended-release (ER) drug products are widely used for the treatment of attention deficit hyperactivity disorder. We developed physiologically based absorption models for mixed AMP salts ER capsules and dextroamphetamine sulfate ER capsules to address specific questions raised during generic drug postmarketing surveillance and bioequivalence (BE) guidance development. The models were verified against several data sets.

Synthetic RNA modules for fine-tuning gene expression levels in yeast by modulating RNase III activity.

The design of synthetic gene networks requires an extensive genetic toolbox to control the activities and levels of protein components to achieve desired cellular functions. Recently, a novel class of RNA-based control modules, which act through post-transcriptional processing of transcripts by directed RNase III (Rnt1p) cleavage, were shown to provide predictable control over gene expression and unique properties for manipulating biological networks. Here, we increase the regulatory range of the Rnt1p control elements, by modifying a critical region for enzyme binding to its hairpin substrates, the binding stability box (BSB).

A synthetic library of RNA control modules for predictable tuning of gene expression in yeast.

Advances in synthetic biology have resulted in the development of genetic tools that support the design of complex biological systems encoding desired functions. The majority of efforts have focused on the development of regulatory tools in bacteria, whereas fewer tools exist for the tuning of expression levels in eukaryotic organisms. Here, we describe a novel class of RNA-based control modules that provide predictable tuning of expression levels in the yeast Saccharomyces cerevisiae.

Engineering ligand-responsive RNA controllers in yeast through the assembly of RNase III tuning modules.

The programming of cellular networks to achieve new biological functions depends on the development of genetic tools that link the presence of a molecular signal to gene-regulatory activity. Recently, a set of engineered RNA controllers was described that enabled predictable tuning of gene expression in the yeast Saccharomyces cerevisiae through directed cleavage of transcripts by an RNase III enzyme, Rnt1p. Here, we describe a strategy for building a new class of RNA sensing-actuation devices based on direct integration of RNA aptamers into a region of the Rnt1p hairpin that modulates Rnt1p cleavage rates.