An in vitro and in vivo study of peptide-functionalized nanoparticles for brain targeting: The importance of selective blood-brain barrier uptake.

Targeted delivery of drugs across endothelial barriers remains a formidable challenge, especially in the case of the brain, where the blood-brain barrier severely limits entry of drugs into the central nervous system. Nanoparticle-mediated transport of peptide/protein-based drugs across endothelial barriers shows great potential as a therapeutic strategy in a wide variety of diseases. Functionalizing nanoparticles with peptides allows for more efficient targeting to specific organs. We have evaluated the hemocompatibilty, cytotoxicity, endothelial uptake, efficacy of delivery and safety of liposome, hyperbranched polyester, poly(glycidol) and acrylamide-based nanoparticles functionalized with peptides targeting brain endothelial receptors, in vitro and in vivo. We used an ELISA-based method for the detection of nanoparticles in biological fluids, investigating the blood clearance rate and in vivo biodistribution of labeled nanoparticles in the brain after intravenous injection in Wistar rats. Herein, we provide a detailed report of in vitro and in vivo observations.

Rapid online-SPE-MS/MS method for ketoprofen determination in dermal interstitial fluid samples from rats obtained by microdialysis or open-flow microperfusion.

Pharmacokinetic studies of topical ketoprofen formulations using continuous sampling techniques such as microdialysis (MD) or open-flow microperfusion (OFM) require sensitive assays due to small sample volumes. A simple and easy online-SPE-MS/MS method for ketoprofen analysis was developed for both MD and OFM samples obtained from rat dermal tissue. The quantification range is 25-5000 ng/ml with a limit of detection of 3 ng/ml using only 10 microl sample volume. The method is characterized by a simple setup using a short polymeric SPE column (OASIS HLB) for desalting with 1.5 min run times in combination with a sensitive MS detection in negative ESI MRM mode. An easy sample workup procedure was used which enables high throughput analysis of a large number of samples for pharmacokinetic studies. In addition, a commercial available (fenoprofen) as well as an isotopically labelled (deuterated ketoprofen) standard were investigated as potential internal standards. The method was validated according to FDA guidelines for bioanalytical validation in terms of accuracy, intra-batch and inter-batch precision, linearity, matrix effect, recovery and stability for both internal standards. Accuracies were 98-113% (fenoprofen) and 95-108% (deuterated ketoprofen), intra-batch precision was 2-3% R.S.D. (fenoprofen) and 2-6% R.S.D. (deuterated ketoprofen), and inter-batch precision was 2-6% R.S.D. (fenoprofen) and 3-6% R.S.D. (deuterated ketoprofen) over the entire quantification range. The presented method was applied to dermal interstitial fluid samples obtained in a topical administration study of ketoprofen in rats.

Detection of Peptide-based nanoparticles in blood plasma by ELISA.

AIMS: The aim of the current study was to develop a method to detect peptide-linked nanoparticles in blood plasma. MATERIALS & METHODS: A convenient enzyme linked immunosorbent assay (ELISA) was developed for the detection of peptides functionalized with biotin and fluorescein groups. As a proof of principle, polymerized pentafluorophenyl methacrylate nanoparticles linked to biotin-carboxyfluorescein labeled peptides were intravenously injected in Wistar rats. Serial blood plasma samples were analyzed by ELISA and by liquid chromatography mass spectrometry (LC/MS) technology. RESULTS: The ELISA based method for the detection of FITC labeled peptides had a detection limit of 1 ng/mL. We were able to accurately measure peptides bound to pentafluorophenyl methacrylate nanoparticles in blood plasma of rats, and similar results were obtained by LC/MS. CONCLUSIONS: We detected FITC-labeled peptides on pentafluorophenyl methacrylate nanoparticles after injection in vivo. This method can be extended to detect nanoparticles with different chemical compositions.

Design and physicochemical characterization of poly(amidoamine) nanoparticles and the toxicological evaluation in human endothelial cells: applications to peptide delivery to the brain.

In this study, we investigated nanoparticles formulated by self-assembly of a biodegradable poly(amidoamine) (PAA) and a fluorescently labeled peptide, in their capacity to internalize in endothelial cells and deliver the peptide, with possible applications for brain drug delivery. The nanoparticles were characterized in terms of size, surface charge, and loading efficiency, and were applied on human cerebral microvascular endothelial cells (hCMEC/D3) and human umbilical vein endothelial cells (Huvec) cells. Cell-internalization and cytotoxicity experiments showed that the PAA-based nanocomplexes were essentially nontoxic, and the peptide was successfully internalized into cells. The results indicate that these PAAs have an excellent property as nontoxic carriers for intracellular protein and peptide delivery, and provide opportunities for novel applications in the delivery of peptides to endothelial cells of the brain.

Headspace-SPME-GC/MS as a simple cleanup tool for sensitive 2,6-diisopropylphenol analysis from lipid emulsions and adaptable to other matrices.

Due to increased regulatory requirements, the interaction of active pharmaceutical ingredients with various surfaces and solutions during production and storage is gaining interest in the pharmaceutical research field, in particular with respect to development of new formulations, new packaging material and the evaluation of cleaning processes. Experimental adsorption/absorption studies as well as the study of cleaning processes require sophisticated analytical methods with high sensitivity for the drug of interest. In the case of 2,6-diisopropylphenol - a small lipophilic drug which is typically formulated as lipid emulsion for intravenous injection - a highly sensitive method in the concentration range of µg/l suitable to be applied to a variety of different sample matrices including lipid emulsions is needed. We hereby present a headspace-solid phase microextraction (HS-SPME) approach as a simple cleanup procedure for sensitive 2,6-diisopropylphenol quantification from diverse matrices choosing a lipid emulsion as the most challenging matrix with regard to complexity. By combining the simple and straight forward HS-SPME sample pretreatment with an optimized GC-MS quantification method a robust and sensitive method for 2,6-diisopropylphenol was developed. This method shows excellent sensitivity in the low µg/l concentration range (5-200µg/l), good accuracy (94.8-98.8%) and precision (intraday-precision 0.1-9.2%, inter-day precision 2.0-7.7%). The method can be easily adapted to other, less complex, matrices such as water or swab extracts. Hence, the presented method holds the potential to serve as a single and simple analytical procedure for 2,6-diisopropylphenol analysis in various types of samples such as required in, e.g. adsorption/absorption studies which typically deal with a variety of different surfaces (steel, plastic, glass, etc.) and solutions/matrices including lipid emulsions.