Cell-size, giant liposomes have been formed by submitting a mixture of asolectin lipid vesicles and native membranes from Torpedo, highly enriched in acetylcholine receptor (AcChR), to a partial dehydration/rehydration cycle [Criado, M., & Keller, B. U. (1987) FEBS Lett. 224, 172-176]. Giant liposomes can be prepared in bulk quantities, in the absence of potentially damaging detergents or organic solvents, and their formation is mediated by membrane fusion phenomena. In fact, fluorescence microscopy and freeze-fracture data indicate that protein and lipid components of the initial membranes and lipid vesicles are homogenously distributed in the resulting liposomes. Giant liposomes containing AcChR have been used as a model to evaluate whether this system can be used to monitor the activity of ionic channels by using high-resolution, patch-clamp techniques. Excised liposome patches in an "inside-out" configuration have been used in this work. We find that the most frequent pattern of electrical activity in response to the presence of acetylcholine in the patch pipet corresponds to a cation-specific channel exhibiting a dominant conductance level and a sublevel of approximately 78 and 25 pS, respectively. Such channel activity exhibits the pharmacological specificity, ion channel activation, ion selectivity, and desensitization properties expected from native Torpedo AcChR. Thus, it appears that the giant liposome technique offers a distinct advantage over other reconstitution procedures in that it provides a unique opportunity to undertake simultaneous biochemical, morphological, and electrophysiological studies of the incorporated ionic channel proteins.
The goal of this study was to build a population pharmacokinetic (PK) model to characterize the population PK parameters in our hospitalized patients. Teicoplanin serum concentrations from clinical routine were used. Antibiotic dose history and blood collection times were recorded and analyzed with NONMEM-V. Demographic and biologic data creatinine clearance (CLcr), weight (WT), and albumin (Alb) were tested for inclusion as covariates in the basic model. Intraindividual and residual variability were modeled. One hundred seven sparse samples (mainly trough levels), from 79 patients, were included. A 2-compartment PK model characterized by clearance (CL), central compartment volume of distribution (Vc), intercompartment clearance, and steady-state volume of distribution (VSS) with first-order elimination adequately described the data. CLcr and WT significantly influenced teicoplanin CL (CL = 0.57[0.15]*(1+0.0048[0.39]*(CLcr - averageCLcr)*WT) L/h). VSS was not affected by any covariate (VSS = 50.2[0.13]L). A negative trend between Alb and individual VSS estimates was observed without statistical significance. In a new data set, bias and precision resulted in mean values of -3.24% and 9.42%, respectively. In conclusion, CLcr and WT are significant covariates on teicoplanin CL. Results from predictive accuracy and precision show the usefulness of this model for implementation in a therapeutic drug monitoring program in the near future.
Glaucoma constitutes the second cause of blindness worldwide and it is considered a neurodegenerative disorder. In this sense, Alzheimer’s disease, which is the most common type of dementia, also causes neurodegeneration. The association between both diseases remains unknown although it has been hypothesised that a possible connection might exist and it will be analysed throughout the review. In this sense, nanoparticulate systems and specially, lipid nanoparticles could be the key for effective neuroprotection. Lipid nanoparticles are the most recent type of drug nanoparticulate systems. These nanoparticles have shown great potential to encapsulate hydrophobic drugs increasing their bioavailability and being able to deliver them to the target tissue. In addition, they have shown great potential for ocular drug delivery. This review explores the most recent strategies employing lipid nanoparticles for AD and glaucoma.
Objectives Meropenem pharmacokinetics (PK) may be altered in patients with cirrhosis, hampering target attainment. We aimed to describe meropenem PK in patients with decompensated cirrhosis and severe bacterial infections, identify the sources of PK variability and assess the performance of different dosing regimens to optimize the PK/pharmacodynamic (PD) target. Methods Serum concentrations and covariates were obtained from patients with severe infections under meropenem treatment. A population PK analysis was performed using non-linear mixed-effects modelling and the final model was used to simulate meropenem exposure to assess the PTA. Results Fifty-four patients were enrolled in the study. Data were best described by a one-compartment linear model. The estimated typical mean value for clearance (CL) was 8.35 L/h and the estimated volume of distribution (V) was 28.2 L. Creatinine clearance (CLCR) and MELD score significantly influenced meropenem CL, and acute-on-chronic liver failure (ACLF) significantly affected V. Monte Carlo simulations showed that a lower meropenem dose would be needed as CLCR decreases and as the MELD score increases. Patients with ACLF would have lower peak meropenem concentrations but similar steady-state concentrations compared with patients with no ACLF. Conclusions Our study identified two new covariates that influence meropenem PK in patients with decompensated cirrhosis in addition to CLCR: MELD score and ACLF. Dosing regimens are recommended to reach several PK/PD targets considering these clinical variables and any MIC within the susceptibility range.
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