Kaasjama3063

The usual development cycles are too slow for the development of vaccines, diagnostics and treatments in pandemics such as the ongoing SARS-CoV-2 pandemic. Given the pressure in such a situation, there is a risk that findings of early clinical trials are overinterpreted despite their limitations in terms of size and design. Motivated by a non-randomized open-label study investigating the efficacy of hydroxychloroquine in patients with COVID-19, we describe in a unified fashion various alternative approaches to the analysis of non-randomized studies. A widely used tool to reduce the impact of treatment-selection bias are so-called propensity score (PS) methods. Conditioning on the propensity score allows one to replicate the design of a randomized controlled trial, conditional on observed covariates. Extensions include the g-computation approach, which is less frequently applied, in particular in clinical studies. Moreover, doubly robust estimators provide additional advantages. Here, we investigate the properties of propensity score based methods including three variations of doubly robust estimators in small sample settings, typical for early trials, in a simulation study. R code for the simulations is provided.Liposomes are widely investigated as vaccine delivery systems, but antigen loading efficiency can be low. Moreover, adsorbed antigen may rapidly desorb under physiological conditions. Encapsulation of antigens overcomes the latter problem but results in significant antigen loss during preparation and purification of the liposomes. Here, we propose an alternative attachment method, based on a complementary heterodimeric coiled coil peptide pair pepK and pepE. PepK was conjugated to cholesterol (yielding CPK) and pepE was covalently linked to model antigen OVA323 (yielding pepE-OVA323). CPK was incorporated in the lipid bilayer of cationic liposomes (180 nm in size). Antigen was associated more efficiently to functionalized liposomes (Kd 166 nM) than to cationic liposomes (Kd not detectable). In vivo co-localization of antigen and liposomes was strongly increased upon CPK-functionalization (35% -> 80%). CPK-functionalized liposomes induced 5-fold stronger CD4+ T-cell proliferation than non-functionalized liposomes in vitro. Both formulations were able to induce strong CD4+ T-cell expansion in mice, but more IFN-y and IL-10 production was observed after immunization with functionalized liposomes. In conclusion, antigen association via coiled coil peptide pair increased co-localization of antigen and liposomes, increased CD4+ T-cell proliferation in vitro and induced a stronger CD4+ T-cell response in vivo.Amino acids are not only used as buffering agents in lyophilisation, but also exhibit cryo- and lyoprotecting characteristics. L-Arginine based lyophilisates were tested regarding their ability to stabilise a monoclonal antibody (mAb) at different residual moisture (RM) levels. Arginine base was formulated with citric, hydrochloric, lactobionic, phosphoric, and succinic acid for pH adjustment. Lyophilisates with less than 0.5% and approx. 2.5%RM were stored for up to 6 months at 40 °C. Selleck Tetramisole The mAb aggregation in arginine in combination with hydrochloric acid and succinic acid was similar or even less compared to a sucrose reference formulation. Arginine in combination with citric acid, lactobionic acid, and phosphoric acid resulted in lower protein stability. Overall, arginine formulations with high RM levels resulted in better protein stabilisation despite decreased glass transition temperatures (Tg). Whereas we detected mAb glycation in the sucrose based formulations, this chemical reaction did not occur in arginine based formulations. Arginine hydrochloride and succinate, especially at high RM levels, could be promising alternatives to sucrose for stabilisation of mAb in lyophilisates.Hyperglycemia among other insults is common after subarachnoid hemorrhage (SAH). The extent to which prolonged hyperglycemia contributes to in-hospital complications and poor outcome after SAH is unknown. Thus, undergoing an experimental study to not only define the predicting factors as already described in numerous articles of medical literature but to outline the impact of hyperglycemia on neuronal apoptosis after subarachnoid hemorrhage (SAH) since literature about this is scarce particularly in patients with subarachnoid hemorrhage (SAH) is essential.There is considerable interest in biomedical applications of quantum dot (QD) nanoparticles, in particular their use as imaging agents for diagnostic applications. In order to investigate the in vivo biodistribution and the potential toxicity of quantum dots (QDs), it is crucial to develop pharmacokinetic (PK) models as basis for prediction of QDs exposure profiles over time. Here, we investigated the in vivo biodistribution of novel indium-based QDs in mice for up to three months after intravenous administration and subsequently developed a translational population PK model to scale findings to humans. This evaluation was complemented by a comprehensive overview of the in vivo toxicology of QDs in rats. The QDs were primarily taken up by the liver and spleen and were excreted via hepatobiliary and urinary pathways. A non-linear mixed effects modelling approach was used to describe blood and organ disposition characteristics of QDs using a multi-compartment PK model. The observed blood and tissue exposure to QDs was characterised with an acceptable level of accuracy at short and long-term. Of note is the fast distribution of QDs from blood into liver and spleen in the first 24 h post-injection (half-life of 28 min) followed by a long elimination profile (half-life range 47-90 days). This is the first study to assess the PK properties of QDs using a population pharmacokinetic approach to analyse in vivo preclinical data. No organ damage was observed following systemic administration of QDs at doses as high as 48 mg/kg at 24 h, 1 week and 5 weeks post-injection. In conjunction with the data arising from the toxicology experiments, PK parameter estimates provide insight into the potential PK properties of QDs in humans, which ultimately allow prediction of their disposition and enable optimisation of the design of first-in-human QDs studies.