The nonsteroidal anti-inflammatory drug indomethacin induces heterogeneity in lipid membranes: potential implication for its diverse biological action.

BACKGROUND: The nonsteroidal anti-inflammatory drug (NSAID), indomethacin (Indo), has a large number of divergent biological effects, the molecular mechanism(s) for which have yet to be fully elucidated. Interestingly, Indo is highly amphiphilic and associates strongly with lipid membranes, which influence localization, structure and function of membrane-associating proteins and actively regulate cell signaling events. Thus, it is possible that Indo regulates diverse cell functions by altering micro-environments within the membrane. Here we explored the effect of Indo on the nature of the segregated domains in a mixed model membrane composed of dipalmitoyl phosphatidyl-choline (di16:0 PC, or DPPC) and dioleoyl phosphatidyl-choline (di18:1 PC or DOPC) and cholesterol that mimics biomembranes. METHODOLOGY/PRINCIPAL FINDINGS: Using a series of fluorescent probes in a fluorescence resonance energy transfer (FRET) study, we found that Indo induced separation between gel domains and fluid domains in the mixed model membrane, possibly by enhancing the formation of gel-phase domains. This effect originated from the ability of Indo to specifically target the ordered domains in the mixed membrane. These findings were further confirmed by measuring the ability of Indo to affect the fluidity-dependent fluorescence quenching and the level of detergent resistance of membranes. CONCLUSION/SIGNIFICANCE: Because the tested lipids are the main lipid constituents in cell membranes, the observed formation of gel phase domains induced by Indo potentially occurs in biomembranes. This marked Indo-induced change in phase behavior potentially alters membrane protein functions, which contribute to the wide variety of biological activities of Indo and other NSAIDs.

The evolution and assessment of pharmaceutical care: Structure, processes, and outcomes

The evolution of pharmaceutical care is identified through a complete review of the literature published in the American Journal of Health-System Pharmacy, the sole comprehensive publication of institutional pharmacy practice. The evolution is categorized according to characteristics of structure (organizational structure, the role of the pharmacist), process (drug delivery systems, formulary management, acquiring drug products, methods to impact drug therapy decisions), and outcomes (cost of drug delivery, cost of drug acquisition and use, improved safety, improved health outcomes) recorded from the 1950s through the 1990s. While significant progress has been made in implementing basic drug distribution systems, levels of pharmacy involvement with direct patient care is still limited.^ A new practice framework suggests enhanced direct patient care involvement through increase in the efficiency and effectiveness of traditional pharmacy services. Recommendations advance internal and external organizational structure relationships that position pharmacists to fully use their unique skills and knowledge to impact drug therapy decisions and outcomes. Specific strategies facilitate expansion of the breadth and scope of each process component in order to expand the depth of integration of pharmacy and pharmaceutical care within the broad healthcare environment. Economic evaluation methods formally evaluate the impact of both operational and clinical interventions.^ Outcome measurements include specific recommendations and methods to increase efficiency of drug acquisition, emphasizing pharmacists' roles that impact physician prescribing decisions. Effectiveness measures include those that improve safety of drug distribution systems, decrease the potential of adverse drug therapy events, and demonstrate that pharmaceutical care can significantly contribute to improvement in overall health status.^ The implementation of the new framework is modeled on a case study at the M.D. Anderson Cancer Center. The implementation of several new drug distribution methods facilitated the redeployment of personnel from distributive functions to direct patient care activities with significant personnel and drug cost reduction. A cost-benefit analysis illustrates that framework process enhancements produced a benefit-to-cost ratio of 7.9. In addition, measures of effectiveness demonstrated significant levels of safety and enhanced drug therapy outcomes. ^

The relationship of mutations in alpha- and beta-tubulin to microtubule assembly and anti-mitotic drug resistance

The mechanisms responsible for anti-cancer drug (including Taxol) treatment failure have not been identified. In cell culture model systems, many β-tubulin, but very few α-tubulin, mutations have been associated with resistance to Taxol. To test what, if any, mutations in α-tubulin can cause resistance, we transfected a randomly mutagenized α-tubulin cDNA into Chinese hamster ovary (CHO) cells and isolated drug resistant cell lines. A total of 12 mutations were identified in this way and all of them were confirmed to confer Taxol resistance. Furthermore, all cells expressing mutant α-tubulin had less microtubule polymer. Some cells also had abnormal nuclei and enlarged cell bodies. The data indicate that α-tubulin mutations confer Taxol resistance by disrupting microtubule assembly, a mechanism consistent with a large number of previously described β-tubulin mutations. ^ Because α- and β-tubulin are almost identical in their three dimensional structure, we hypothesized that mutations discovered in one subunit, when introduced into the other, would produce similar effects on microtubule assembly and drug resistance. 9 α- and 2 β-tubulin mutations were tested. The results were complex. Some mutations produced similar changes in microtubule assembly and drug resistance irrespective of the subunit in which they were introduced, but others produced opposite effects. Still one mutation produced resistance when present in one subunit, yet had no effect when present on the other; and one mutation that produced Taxol resistance when present in α-tubulin, resulted in assembly-defective tubulin when it was present in β-tubulin. The results suggest that in most cases, the same amino acid modification in α- and β-tubulin affects the microtubule structure and assembly in a similar way. ^ Finally, we tested whether three β-tubulin mutations found in patient tumors could confer resistance to Taxol by recreating the mutations in a β-tubulin cDNA and transfecting it into CHO cells. We found that all three mutations conferred Taxol resistance, but to different extents. Again, microtubule assembly in the transfectants was disrupted, suggesting that mutations in β-tubulin are a potential problem in cancer therapeutics. ^

Advanced Protein Modeling Method: Benchmarking and Applications in Computer-Aided Drug Discovery

Development of homology modeling methods will remain an area of active research. These methods aim to develop and model increasingly accurate three-dimensional structures of yet uncrystallized therapeutically relevant proteins e.g. Class A G-Protein Coupled Receptors. Incorporating protein flexibility is one way to achieve this goal. Here, I will discuss the enhancement and validation of the ligand-steered modeling, originally developed by Dr. Claudio Cavasotto, via cross modeling of the newly crystallized GPCR structures. This method uses known ligands and known experimental information to optimize relevant protein binding sites by incorporating protein flexibility. The ligand-steered models were able to model, reasonably reproduce binding sites and the co-crystallized native ligand poses of the β2 adrenergic and Adenosine 2A receptors using a single template structure. They also performed better than the choice of template, and crude models in a small scale high-throughput docking experiments and compound selectivity studies. Next, the application of this method to develop high-quality homology models of Cannabinoid Receptor 2, an emerging non-psychotic pain management target, is discussed. These models were validated by their ability to rationalize structure activity relationship data of two, inverse agonist and agonist, series of compounds. The method was also applied to improve the virtual screening performance of the β2 adrenergic crystal structure by optimizing the binding site using β2 specific compounds. These results show the feasibility of optimizing only the pharmacologically relevant protein binding sites and applicability to structure-based drug design projects.