Hydrophobic ion pairing (HIP) can successfully increase
the drug
loading and control the release kinetics of ionizable hydrophilic
drugs, addressing challenges that prevent these molecules from reaching
the clinic. Nevertheless, polymeric nanoparticle (PNP) formulation
development requires trial-and-error experimentation to meet the target
product profile, which is laborious and costly. Herein, we design
a preformulation framework (solid-state screening, computational approach,
and solubility in PNP-forming emulsion) to understand counterion–drug–polymer
interactions and accelerate the PNP formulation development for HIP
systems. The HIP interactions between a small hydrophilic molecule,
AZD2811, and counterions with different molecular structures were
investigated. Cyclic counterions formed amorphous ion pairs with AZD2811;
the 0.7 pamoic acid/1.0 AZD2811 complex had the highest glass transition
temperature (T
g; 162 °C) and the
greatest drug loading (22%) and remained as phase-separated amorphous
nanosized domains inside the polymer matrix. Palmitic acid (linear
counterion) showed negligible interactions with AZD2811 (crystalline-free
drug/counterion forms), leading to a significantly lower drug loading
despite having similar log P and pK
a with pamoic acid. Computational calculations illustrated
that cyclic counterions interact more strongly with AZD2811 than linear
counterions through dispersive interactions (offset π–π
interactions). Solubility data indicated that the pamoic acid/AZD2811
complex has a lower organic phase solubility than AZD2811-free base;
hence, it may be expected to precipitate more rapidly in the nanodroplets,
thus increasing drug loading. Our work provides a generalizable preformulation
framework, complementing traditional performance-indicating parameters,
to identify optimal counterions rapidly and accelerate the development
of hydrophilic drug PNP formulations while achieving high drug loading
without laborious trial-and-error experimentation.