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.

NADPH-CYTOCHROME P-450 REDUCTASE: EVIDENCE FOR TWO SEPARATE STRUCTURAL DOMAINS AND ISOLATION AND CHARACTERIZATION OF THE MEMBRANE ASSOCIATED SEGMENT

Homogenous detergent-solubilized NADPH-Cytochrome P-450 reductase was incorporated into microsomes and liposomes. This binding occurred spontaneously at temperatures between 4(DEGREES) and 37(DEGREES) and appeared to involve hydrophobic forces as the binding was not disrupted by 0.5 M sodium chloride. This exogenously-added reductase was active catalytically towards native cytochrome P-450, suggesting an association with the microsomal membrane similar to endogenous reductase. Homogeneous detergent-solubilized reductase was disaggregated by Renex-690 micelles, confirming the presence of a hydrophobic combining region on the enzyme. In contrast to these results, steapsin protease-solubilized reductase was incapable of microsomal attachment and did not interact with Renex-690 micelles. Detergent-solubilized reductase (76,500 daltons) was converted into a form with the electrophoretic mobility of steapsin protease-solubilized reductase (68,000 daltons) and a 12,500 dalton peptide (as determined by polyacrylamide-SDS gel electrophoresis) when the liposomal-incorporated enzyme was incubated with steapsin protease. The 68,000 dalton fragment thus obtained had properties identical with steapsin protease-solubilized reductase, i.e. it was catalytically active towards cytochrome c but inactive towards cytochrome P-450 and did not bind liposomes. The 12,500 dalton fragment remained associated with the liposomes when the digest was fractionated by gel filtration, suggesting that this is the segment of the enzyme which is embedded in the phospholipid bilayer. Thus, detergent-solubilized reductase appears to contain a soluble catalytic domain and a separate and separable membrane-binding domain. This latter domain is required for attaching the enzyme to the membrane and also to facilitate the catalytic interaction between the reductase and its native electron acceptor, cytochrome P-450. The membrane-binding segment of the reductase was isolated by preparative gel electrophoresis in SDS following its generation by proteolytic treatment of liposome-incorporated reductase. The peptide has a molecular weight of 6,400 as determined by gel filtration in 8 M guanidine hydrochloride and has an amino acid composition which is not especially hydrophobic. Following removal of SDS and dialysis out of 6 M urea, the membrane-binding peptide was unable to inhibit the activity of a reconstituted system containing purified reductase and cytochrome P-450. Moreover, when reductase and cytochrome P-450 were added to liposomes which contained the membrane-binding peptide, it was determined that mixed function oxidase activity was reconstituted as effectively as when vesicles without the membrane-binding peptide were used. Thus, the membrane-binding peptide was ineffective as an inhibitor of mixed function oxidase activity, suggesting perhaps that it facilitates catalysis by anchoring the catalytic domain of the reductase proximal to cytochrome P-450 (i.e. in the same mixed micelle) rather than through a specific interaction with cytochrome P-450. ^

CHARACTERIZATION OF CYTOCHROME P-450 MIXED FUNCTION OXIDASE OF RAT COLON MUCOSA

Non-pregnant, female adult rats pretreated with either phenobarbital (PB) or (beta)-naphthoflavone ((beta)NF) through short-course intraperitoneal injections were shown by sodium dithionite-reduced carbon monoxide difference spectroscopy and NADPH-cytochrome c in vitro assay to contain cytochrome P-450 and NADPH-dependent reductase associated with the microsomal fraction of colon mucosa. These two protein components of the mixed function oxidase system were released from the microsomal membrane, resolved from each other, and partially purified by using a combination of techniques including solubilization in nonionic detergent followed by ultracentrifugation, anion exchange and adsorption column chromatographies, native gel electrophoresis, polyethylene glycol fractionation and ultrafiltration.^ In vitro reconstitution assays demonstrated the cytochrome P-450 fraction as the site of substrate and molecular oxygen binding. By the use of immunochemical techniques including radial immunodiffusion, Ouchterlony double diffusion and protein electroblotting, the cytochrome P-450 fraction was shown to contain at least 5 forms of the protein, having molecular weights as determined by SDS gel electrophoresis identical to the corresponding hepatic cytochrome P-450. Estimation of total cytochrome P-450 content confirmed the preferential induction of particular forms in response to the appropriate drug pretreatment.^ The colonic NADPH-dependent reductase was isolated from native gel electrophoresis and second dimensional SDS gel electrophoresis was performed in parallel to that for purified reductase from liver. Comparative electrophoretic mobilities together with immunochemical analysis, as with the cytochrome P-450s, reconstitution assays, and kinetic characterization using artificial electron acceptors, gave conclusive proof of the structural and functional homology between the colon and liver sources of the enzyme.^ Drug metabolism was performed in the reconstituted mixed function oxidase system containing a particular purified liver cytochrome P-450 form or partially pure colon cytochrome P-450 fraction plus colon or liver reductase and synthetic lipid vesicles. The two drugs, benzo{(alpha)}pyrene and benzphetamine, which are most representative of the action of system in liver, lung and kidney, were tested to determine the specificity of the reconstituted system. The kinetics of benzo{(alpha)}pyrene hydroxylation were followed fluorimetrically for 3-hydroxybenzo{(alpha)}pyrene production. . . . (Author's abstract exceeds stipulated maximum length. Discontinued here with permission of author.) UMI ^

Statistical issues on studies of mixed longitudinal design

Mixed longitudinal designs are important study designs for many areas of medical research. Mixed longitudinal studies have several advantages over cross-sectional or pure longitudinal studies, including shorter study completion time and ability to separate time and age effects, thus are an attractive choice. Statistical methodology used in general longitudinal studies has been rapidly developing within the last few decades. Common approaches for statistical modeling in studies with mixed longitudinal designs have been the linear mixed-effects model incorporating an age or time effect. The general linear mixed-effects model is considered an appropriate choice to analyze repeated measurements data in longitudinal studies. However, common use of linear mixed-effects model on mixed longitudinal studies often incorporates age as the only random-effect but fails to take into consideration the cohort effect in conducting statistical inferences on age-related trajectories of outcome measurements. We believe special attention should be paid to cohort effects when analyzing data in mixed longitudinal designs with multiple overlapping cohorts. Thus, this has become an important statistical issue to address. ^ This research aims to address statistical issues related to mixed longitudinal studies. The proposed study examined the existing statistical analysis methods for the mixed longitudinal designs and developed an alternative analytic method to incorporate effects from multiple overlapping cohorts as well as from different aged subjects. The proposed study used simulation to evaluate the performance of the proposed analytic method by comparing it with the commonly-used model. Finally, the study applied the proposed analytic method to the data collected by an existing study Project HeartBeat!, which had been evaluated using traditional analytic techniques. Project HeartBeat! is a longitudinal study of cardiovascular disease (CVD) risk factors in childhood and adolescence using a mixed longitudinal design. The proposed model was used to evaluate four blood lipids adjusting for age, gender, race/ethnicity, and endocrine hormones. The result of this dissertation suggest the proposed analytic model could be a more flexible and reliable choice than the traditional model in terms of fitting data to provide more accurate estimates in mixed longitudinal studies. Conceptually, the proposed model described in this study has useful features, including consideration of effects from multiple overlapping cohorts, and is an attractive approach for analyzing data in mixed longitudinal design studies.^