N-2-Hydroxypropylmethacrylamide-Polycaprolactone Polymeric Micelles in Co-delivery of Proteasome Inhibitor and Polyphenol: Exploration of Synergism or Antagonism.

Breast cancer leads to the highest mortality among women resulting in a major clinical burden. Multidrug therapy is more efficient in such patients compared to monodrug therapy. Simultaneous combinatorial or co-delivery garnered significant interest in the past years. Caffeic acid (CFA) (a natural polyphenol) has received growing attention because of its anticarcinogenic and antioxidant potential. Bortezomib (BTZ) is a proteasome inhibitor and may be explored for treating breast cancer. Despite its high anticancer activity, the low water solubility and chemical instability restrict its efficacy against solid tumors. In the present study, we designed and investigated a HP-PCL (N-2-hydroxypropylmethacrylamide-polycaprolactone) polymeric micellar (PMCs) system for the simultaneous delivery of BTZ and CFA in the treatment of breast cancer. The designed BTZ+CFA-HP-PCL PMCs were fabricated, optimized, and characterized for size, zeta potential, surface morphology, and in vitro drug release. Developed nanosized (174.6 ± 0.24 nm) PMCs showed enhanced cellular internalization and cell cytotoxicity in both MCF-7 and MDA-MB-231 cells. ROS (reactive oxygen species) levels were highest in BTZ-HP-PCL PMCs, while CFA-HP-PCL PMCs significantly (p < 0.001) scavenged the ROS generated in 2',7'-dichlorofluorescein diacetate (DCFH-DA) assay. The mitochondrial membrane potential (MMP) assay revealed intense and significant green fluorescence in both types of cancer cells when treated with BTZ-HP-PCL PMCs (p < 0.001) indicating apoptosis or cell death. The pharmacokinetic studies revealed that BTZ-HP-PCL PMCs and BTZ+CFA-HP-PCL PMCs exhibited the highest bioavailability, enhanced plasma half-life, decreased volume of distribution, and lower clearance rate than the pure combination of drugs. In the organ biodistribution studies, the combination of BTZ+CFA showed higher distribution in the spleen and the heart. Overall findings of in vitro studies surprisingly resulted in better therapeutic efficiency of BTZ-HP-PCL PMCs than BTZ+CFA-HP-PCL PMCs. However, the in vivo tumor growth inhibition study performed in tumor-induced mice concluded that the tumor growth was inhibited by both BTZ-HP-PCL PMCs and BTZ+CFA-HP-PCL PMCs (p < 0.0001) more efficiently than pure BTZ and the combination (BTZ+CFA), which may be due to the conversion of boronate ester into boronic acid. Henceforth, the combination of BTZ and CFA provides further indications to be explored in the future to support the hypothesis that BTZ may work with polyphenol (CFA) in the acidic environment of the tumor.

Addition of calcium and magnesium chlorides as simple means of varying bound and precipitated minerals in casein micelle: Effect on enzymatic coagulation.

In casein micelle (CM), Ca is either precipitated in the colloidal calcium phosphate (CCP) stabilized by clusters of phosphoserine (SEP) residues, or is directly bound to SEP (or glutamic and aspartic acids) of caseins without inorganic phosphate. However, it is currently not possible to titrate separately the different micellar Ca forms, making it difficult to assess their respective importance for CM properties and behavior. Both Ca2+ and Mg2+ have the same binding constants with SEP. Moreover, MgHPO4 is more soluble than CaHPO4, and its natural concentration in milk is lower. Thus, upon addition of MgCl2, Mg is mainly exchanged with CM in the bound form, whereas upon addition of CaCl2, Ca is mainly exchanged in the precipitated form. Our objective was to assess the role of the 2 forms of micellar cations (bound and precipitated) during the enzymatic coagulation of cow milk. Magnesium chloride, CaCl2, or KCl (10 mM) were added to milk and pH was adjusted to 6.6 after overnight equilibration. The KCl-supplemented milk was a positive control to assess the effect of the increased ionic strength after MgCl2 and CaCl2 addition. Mineral partition between soluble and colloidal phases after salt addition was assessed both experimentally and by using computer simulation. Enzymatic coagulation was proceeded at 30°C. Hydrolysis of κ-casein was followed by the quantitative determination of caseinomacropeptide released by RP-HPLC, aggregation of para-κ-casein micelles was measured through the evolution of backscattering properties of milk and the gel time and gel firming kinetics were determined using a Chymograph (Chr. Hansen, Horsholm, Denmark). The KCl addition did not affect mineral partition. As expected, CaCl2 addition mainly increased the CCP content, whereas the addition of MgCl2 mainly increased the bound divalent cations content. The kinetics of κ-casein hydrolysis was slowed down after CaCl2 and MgCl2 addition, and was negatively correlated with the concentration of divalent cations in the soluble phase of milk. Aggregation and gel firming curves plotted versus the progress of κ-casein hydrolysis were similar for both CaCl2- and MgCl2-supplemented milk. In view of the dual-binding model for CM assembly, this means that both Ca forms reduce electronegative repulsions between para-micelles by specific charge shielding. Inclusion of 2 Ca forms in structural models for CM allows a more detailed comprehension of how mineral equilibria affect CM properties.

Like Dissolves Like? A Comprehensive Evaluation of Partial Solubility Parameters to Predict Polymer-Drug Compatibility in Ultrahigh Drug-Loaded Polymer Micelles.

Despite decades of research, our understanding of the molecular interactions between drugs and polymers in drug-loaded polymer micelles does not extend much beyond concepts such as "like-dissolves-like" or hydrophilic/hydrophobic. However, polymer-drug compatibility strongly affects formulation properties and therefore the translation of a formulation into the clinics. Specific interactions such as hydrogen-bonding, π-π stacking, or coordination interactions can be utilized to increase drug loading. This is commonly based on trial and error and eventually leads to an optimized drug carrier. Unfortunately, due to the unique characteristics of each drug, the deduction of advanced general concepts remains challenging. Furthermore, the introduction of complex moieties or specifically modified polymers hampers systematic investigations regarding polymer-drug compatibility as well as clinical translation. In this study, we reduced the complexity to isolate the crucial factors determining drug loading. Therefore, the compatibility of 18 different amphiphilic polymers for five different hydrophobic drugs was determined empirically. Subsequently, the obtained specificities were compared to theoretical compatibilities derived from either the Flory-Huggins interaction parameters or the Hansen solubility parameters. In general, the Flory-Huggins interaction parameters were less suited to correctly estimate the experimental drug solubilization compared to the Hansen solubility parameters. The latter were able to correctly predict some trend regarding good and poor solubilizers, yet the overall predictive strength of Hansen solubility parameters is clearly unsatisfactory.

Exploring the effect of hydrophilic and hydrophobic structure of grafted polymeric micelles on drug loading.

The objective of this paper is to explore the effect of hydrophilic and hydrophobic structure of grafted polymeric micelles on drug loading, and elucidate whether drug-polymer compatibility, as predicted by Hansen solubility parameters (HSPs), can be used as a tool for drug-polymer pairs screening and guide the design of grafted polymeric micelles. HSPs of 27 drugs and three grafted copolymers were calculated according to group contribution method. The drug-polymer compatibilities were evaluated using the approaches of Flory-Huggins interaction parameters (χFH) and polarity difference (△Xp). Two models, model A and B, were put forward for drug-polymer compatibility prediction. In model A, hydrophilic/hydrophobic part as a whole was regarded as one segment. And, in model B, hydrophilic and hydrophobic segments were evaluated individually. First of all, using chitosan (CS)-grafted-glyceryl monooeate (GMO) based micelle as an example, the suitability of model A and model B for predicating drug-polymer compatibility was evaluated theoretically. Thereafter, corresponding experiments were carried out to check the validity of the theoretical prediction. It was demonstrated that Model B, which evaluates drug compatibility with both hydrophilic and hydrophobic segments of the copolymer, is more reliable for drug-polymer compatibility prediction. Moreover, the approach of model B allows for the selection of a defined grafted polymer with for a specific drug and vice versa. Thus, drug compatibility evaluation via HSPs with both hydrophilic and hydrophobic segments is a suitable tool for the rational design of grafted polymeric micelles. The molecular dynamics (MD) simulation study provided further support to the established model and experimental results.

Prediction of drug solubility in amphiphilic di-block copolymer micelles: the role of polymer-drug compatibility.

The goal of the current study was to assess the value of predictive computational approaches for estimating drug solubility in hydrated micelles formed from di-block copolymers of polyethylene glycol (PEG) and random copolyesters of epsilon-caprolactone (CL) and trimethylene carbonate (TMC) using drug-polymer compatibility as assessed through the Flory-Huggins interaction parameter (chi). In order to accomplish this, the compatibility of several well-known model drugs (associated with the four biopharmaceutics classification system (BCS) classes) was assessed with both segments of the amphiphilic di-block copolymer PEG-b-P(CL-co-TMC). Compatibilities were estimated based on the Hansen modification of the Hildebrand approach using Molecular Modeling Pro software. Experimental solubilities for model drugs were determined using a shake-flask technique at various polymer concentrations. The solubilities of 8 compounds in 10% w/v micelle solutions were in relatively good agreement with the predicted drug-polymer compatibility. In addition, the approach allows for the selection of a suitable di-block copolymer for optimal solubilization of a specific drug. Furosemide was assessed as a model with results suggesting that it can be best entrapped in a di-block copolyester containing a relatively high CL content. The data suggests that prediction of drug solubilization of block copolymer-based micelles may be facilitated by assessing the compatibility of the drug for the component polymeric domains.