Investigating the influence of aromatic moieties on the formulation of hydrophobic natural products and drugs in Poly(2-oxazoline)-based amphiphiles

Many natural compounds with interesting biomedical properties share one physicochemical property, namely, low water solubility. Polymer micelles are, among others, a popular means to solubilize hydrophobic compounds. The specific molecular interactions between the polymers and the hydrophobic drugs are diverse, and recently it has been discussed that macromolecular engineering can be used to optimize drug-loaded micelles. Specifically, p-p stacking between small molecules and polymers has been discussed as an important interaction that can be employed to increase drug loading and formulation stability. Here, we test this hypothesis using four different polymer amphiphiles with varying aromatic content and various natural products that also contain different relative amounts of aromatic moieties. In the case of paclitaxel, having the lowest relative content of aromatic moieties, the drug loading decreases with increasing relative aromatic amount in the polymer, whereas the drug loading of curcumin, having a much higher relative aromatic content, is increased. Interestingly, the loading using schizandrin A, a dibenzo[a,c]cyclooctadiene lignan with intermediate relative aromatic content is not influenced significantly by the aromatic content of the polymers employed. The very high drug loading, long-term stability, ability to form stable highly loaded binary coformulations in different drug combinations, small-sized formulations, and amorphous structures in all cases corroborate earlier reports that poly(2-oxazoline)-based micelles exhibit an extraordinarily high drug loading and are promising candidates for further biomedical applications. The presented results underline that the interaction between the polymers and the incorporated small molecules may be more complex and are significantly influenced by both sides, the used carrier and drug, and must be investigated in each specific case.