A class of potent, nonsteroidal, selective indazole ether-based glucocorticoid receptor modulators (SGRMs) was developed for the inhaled treatment of respiratory diseases. Starting from an orally available compound with demonstrated anti-inflammatory activity in rat, a soft-drug strategy was implemented to ensure rapid elimination of drug candidates to minimize systemic GR activation. The first clinical candidate 1b (AZD5423) displayed a potent inhibition of lung edema in a rat model of allergic airway inflammation following dry powder inhalation combined with a moderate systemic GR-effect, assessed as thymic involution. Further optimization of inhaled drug properties provided a second, equally potent, candidate, 15m (AZD7594), that demonstrated an improved therapeutic ratio over the benchmark inhaled corticosteroid 3 (fluticasone propionate) and prolonged the inhibition of lung edema, indicating potential for once-daily treatment.
Results support the initial hypothesis that systemic exposure of poorly soluble inhaled drugs is a complex but predictable function of dose, deposition pattern, and rate of dissolution. Furthermore, simulations indicate that local exposure for these types of drugs is not well correlated with systemic exposure. Hence, equivalence with respect to local exposure, and thus with respect to pharmacodynamic effect, cannot be fully inferred from systemic pharmacokinetic equivalence alone.
Pulmonary dissolution of poorly soluble
drug substances (DSs) may
limit the drug absorption rate and consequently influence clinical
performance. Dissolution rate is thus an important quality attribute,
and its influence on in vivo drug release must be characterized, understood,
and controlled early in the development process. The aim of this study
is to establish an in vitro dissolution method with the capability
to capture therapeutically relevant differences in the dissolution
rate between drug batches and drug compounds. A method was developed
by which a biorelevant aerosol fraction was captured on a filter using
a sedimentation technique in a modified Andersen cascade impactor
to avoid particle agglomeration. Subsequently, the filters were transferred
to a commercial Transwell system where dissolution in 3 mL of phosphate
buffer at pH 6.8 with 0.5% sodium dodecyl sulfate (SDS) occurred at
sink conditions. Dissolved DS was quantified over time using UPLC-UV.
Dissolution data was obtained on a series of micronized and aerosolized
lipophilic DSs, budesonide, fluticasone furoate (FF), fluticasone
propionate (FP), and AZD5423. The latter is a lipophilic AstraZeneca
development compound available in two different mass median diameters
(MMD), 1.3 (AZD54231.3) and 3.1 μm (AZD54233.1). Dissolution data were evaluated using a Weibull fit and expressed
as t
63, the time to dissolution of 63%
of the initial dose. The following rank-order of t
63 was obtained (mean t
63 and
MMD in brackets), budesonide (10 min, 2.1 μm) = AZD54231.3 (10 min, 1.3 μm) < AZD54233.1 (19 min,
3.1 μm) < FP (38 min, 2.4 μm) < FF (63 min, 2.5
μm). The method could differentiate between different drug compounds
with different solubility but similar particle size distribution,
as well as between the same drug compound with different particle
size distributions. Furthermore, a relation between the in vitro dissolution
rate (t
63) and mean pulmonary absorption
time in man (literature data) was observed, indicating clinical relevance.
It is thus concluded, that the method may be useful for the characterization
and ranking of DSs and drug products in early development, as well
as being a potential tool for the control of dissolution as a potential
quality attribute.
Esterification was used to simultaneously increase solubility and permeability of ciprofloxacin, a biopharmaceutics classification system (BCS) class 4 drug (low solubility/low permeability) with solid-state limited solubility. Molecular flexibility was increased to disturb the crystal lattice, lower the melting point, and thereby improve the solubility, whereas lipophilicity was increased to enhance the intestinal permeability. These structural changes resulted in BCS class 1 analogues (high solubility/high permeability) emphasizing that simple medicinal chemistry may improve both these properties.
For oral drugs, the
formulator and discovery chemist have a tool
available to them that can be used to navigate the risks associated
with the selection and development of immediate release oral drugs
and drug products. This tool is the biopharmaceutics classification
system (giBCS). Unfortunately, no such classification system exists
for inhaled drugs. The perspective outlined in this manuscript provides
the foundational principles and framework for a classification system
for inhaled drugs. The proposed classification system, an inhalation-based
biopharmaceutics classification system (iBCS), is based on fundamental
biopharmaceutics principles adapted to an inhalation route of administration
framework. It is envisioned that a classification system for orally
inhaled drugs will facilitate an understanding of the technical challenges
associated with the development of new chemical entities and their
associated new drug products (device and drug formulation combinations).
Similar to the giBCS, the iBCS will be based on key attributes describing
the drug substance (solubility and permeability) and the drug product
(dose and dissolution). This manuscript provides the foundational
aspects of an iBCS, including the proposed scientific principles and
framework upon which such a system can be developed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.