PubMed · 10969227
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R K Cydulka. 2000. Easier breathing?. https://doi.org/10.1067/mem.2000.109687
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In order to develop improved synthetic gene transfer vectors, we have synthesized bifunctional peptides composed of a DNA binding peptide (P2) and ligand peptides selected by the phage display technique on tracheal epithelial cells. We have evaluated the capacity of these peptides to enhance the gene transfer efficiency of the cationic lipid DOTAP to the mouse lung. To optimize the in vivo transfection efficiency, we first compared the efficiency of DOTAP to transfect the lung by either intravenous injection or aerosolization. We then tested DNA/Peptide/DOTAP complexes formed at different Peptide/DNA and DOTAP/DNA charge ratios. Under optimal conditions, precompaction of DNA by peptide P2 gave a higher expression in the mouse lung using the luciferase reporter gene than DOTAP/DNA complexes. A further increase of transfection efficiency was obtained with the bifunctional peptide P2-9. Experiments performed with the GFP reporter gene showed expression in the alveolar parenchyme.
Pulmonary delivery of pharmaceutical aerosols can be quantified using gamma scintigraphy. Technetium-99m, the most commonly used radionuclide in scintigraphic studies, cannot be incorporated into the drug molecule and, therefore, may be distributed differently from the drug itself, particularly if the drug is presented as a solid in a liquid suspension or as a dry powder formulation. This study demonstrated the importance of using conditions relevant to the in vivo situation in the in vitro characterisation of a dry powder aerosol of 99mTc-labelled lactose. The influence of inspiratory flow on the distribution of aerosol within the lungs was investigated in eight healthy subjects who inhaled the 99mTc-labelled lactose at four flows (30,40,60 and 80 l/min). No differences in penetration index (PI) or count density distribution of radioactivity were seen, indicating that regional distribution of aerosol in healthy airways was insensitive to differences in the inspiratory effort exerted by the subject while inhaling the experimental dry powder radioaerosol.
When planning a clinical trial the sample size calculation is commonly based on an a priori estimate of the variance of the outcome variable. Misspecification of the variance can have substantial impact on the power of the trial. It is therefore attractive to update the planning assumptions during the ongoing trial using an internal estimate of the variance. For this purpose, an EM algorithm based procedure for blinded variance estimation was proposed for normally distributed data. Various simulation studies suggest a number of appealing properties of this procedure. In contrast, we show that (i) the estimates provided by this procedure depend on the initialization, (ii) the stopping rule used is inadequate to guarantee that the algorithm converges against the maximum likelihood estimator, and (iii) the procedure corresponds to the special case of simple randomization which, however, in clinical trials is rarely applied. Further, we show that maximum likelihood estimation leads to no reasonable results for blinded sample size re-estimation due to bias and high variability. The problem is illustrated by a clinical trial in asthma.