Analyse der intrazellulären Freisetzung von Wirkstoffmodellen via konfokaler Laser-Raster-Mikroskopie

In der vorliegenden Arbeit wurde gezeigt, wie man das Potential nanopartikulärer Systeme, die vorwiegend via Miniemulsion hergestellt wurden, im Hinblick auf „Drug Delivery“ ausnutzen könnte, indem ein Wirkstoffmodell auf unterschiedliche Art und Weise intrazellulär freigesetzt wurde. Dies wurde hauptsächlich mittels konfokaler Laser-Raster-Mikrokopie (CLSM) in Kombination mit dem Bildbearbeitungsprogramm Volocity® analysiert.rnPBCA-Nanokapseln eigneten sich besonders, um hydrophile Substanzen wie etwa Oligonukleotide zu verkapseln und sie so auf ihrem Transportweg in die Zellen vor einem etwaigen Abbau zu schützen. Es konnte eine Freisetzung der Oligonukleotide in den Zellen aufgrund der elektrostatischen Anziehung des mitochondrialen Membranpotentials nachgewiesen werden. Dabei war die Kombination aus Oligonukleotid und angebundenem Cyanin-Farbstoff (Cy5) an der 5‘-Position der Oligonukleotid-Sequenz ausschlaggebend. Durch quantitative Analysen mittels Volocity® konnte die vollständige Kolokalisation der freigesetzten Oligonukleotide an Mitochondrien bewiesen werden, was anhand der Kolokalisationskoeffizienten „Manders‘ Coefficients“ M1 und M2 diskutiert wurde. Es konnte ebenfalls aufgrund von FRET-Studien doppelt markierter Oligos gezeigt werden, dass die Oligonukleotide weder beim Transport noch bei der Freisetzung abgebaut wurden. Außerdem wurde aufgeklärt, dass nur der Inhalt der Nanokapseln, d. h. die Oligonukleotide, an Mitochondrien akkumulierte, das Kapselmaterial selbst jedoch in anderen intrazellulären Bereichen aufzufinden war. Eine Kombination aus Cyanin-Farbstoffen wie Cy5 mit einer Nukleotidsequenz oder einem Wirkstoff könnte also die Basis für einen gezielten Wirkstofftransport zu Mitochondrien liefern bzw. die Grundlage schaffen, eine Freisetzung aus Kapseln ins Zytoplasma zu gewährleisten.rnDer vielseitige Einsatz der Miniemulsion gestattete es, nicht nur Kapseln sondern auch Nanopartikel herzustellen, in welchen hydrophobe Substanzen im Partikelkern eingeschlossen werden konnten. Diese auf hydrophobe Wechselwirkungen beruhende „Verkapselung“ eines Wirkstoffmodells, in diesem Fall PMI, wurde bei PDLLA- bzw. PS-Nanopartikeln ausgenutzt, welche durch ein HPMA-basiertes Block-Copolymer stabilisiert wurden. Dabei konnte gezeigt werden, dass das hydrophobe Wirkstoffmodell PMI innerhalb kürzester Zeit in die Zellen freigesetzt wurde und sich in sogenannte „Lipid Droplets“ einlagerte, ohne dass die Nanopartikel selbst aufgenommen werden mussten. Daneben war ein intrazelluläres Ablösen des stabilisierenden Block-Copolymers zu verzeichnen, welches rn8 h nach Partikelaufnahme erfolgte und ebenfalls durch Analysen mittels Volocity® untermauert wurde. Dies hatte jedoch keinen Einfluss auf die eigentliche Partikelaufnahme oder die Freisetzung des Wirkstoffmodells. Ein großer Vorteil in der Verwendung des HPMA-basierten Block-Copolymers liegt darin begründet, dass auf zeitaufwendige Waschschritte wie etwa Dialyse nach der Partikelherstellung verzichtet werden konnte, da P(HPMA) ein biokompatibles Polymer ist. Auf der anderen Seite hat man aufgrund der Syntheseroute dieses Block-Copolymers vielfältige Möglichkeiten, Funktionalitäten wie etwa Fluoreszenzmarker einzubringen. Eine kovalente Anbindung eines Wirkstoffs ist ebenfalls denkbar, welcher intrazellulär z. B. aufgrund von enzymatischen Abbauprozessen langsam freigesetzt werden könnte. Somit bietet sich die Möglichkeit mit Nanopartikeln, die durch HPMA-basierte Block-Copolymere stabilisiert wurden, gleichzeitig zwei unterschiedliche Wirkstoffe in die Zellen zu bringen, wobei der eine schnell und der zweite über einen längeren Zeitraum hinweg (kontrolliert) freigesetzt werden könnte.rnNeben Nanokapseln sowie –partikeln, die durch inverse bzw. direkte Miniemulsion dargestellt wurden, sind auch Nanohydrogelpartikel untersucht worden, die sich aufgrund von Selbstorganisation eines amphiphilen Bock-Copolymers bildeten. Diese Nanohydrogelpartikel dienten der Komplexierung von siRNA und wurden hinsichtlich ihrer Anreicherung in Lysosomen untersucht. Aufgrund der Knockdown-Studien von Lutz Nuhn konnte ein Unterschied in der Knockdown-Effizienz festgestellt werden, je nach dem, ob 100 nm oder 40 nm große Nanohydrogelpartikel verwendet wurden. Es sollte festgestellt werden, ob eine größenbedingte, unterschiedlich schnelle Anreicherung dieser beiden Partikel in Lysosomen erfolgte, was die unterschiedliche Knockdown-Effizienz erklären könnte. CLSM-Studien und quantitative Kolokalisationsstudien gaben einen ersten Hinweis auf diese Größenabhängigkeit. rnBei allen verwendeten nanopartikulären Systemen konnte eine Freisetzung ihres Inhalts gezeigt werden. Somit bieten sie ein großes Potential als Wirkstoffträger für biomedizinische Anwendungen.rn

A new information fusion method for land-use classification using high resolution satellite imagery

Satellite image classification involves designing and developing efficient image classifiers. With satellite image data and image analysis methods multiplying rapidly, selecting the right mix of data sources and data analysis approaches has become critical to the generation of quality land-use maps. In this study, a new postprocessing information fusion algorithm for the extraction and representation of land-use information based on high-resolution satellite imagery is presented. This approach can produce land-use maps with sharp interregional boundaries and homogeneous regions. The proposed approach is conducted in five steps. First, a GIS layer - ATKIS data - was used to generate two coarse homogeneous regions, i.e. urban and rural areas. Second, a thematic (class) map was generated by use of a hybrid spectral classifier combining Gaussian Maximum Likelihood algorithm (GML) and ISODATA classifier. Third, a probabilistic relaxation algorithm was performed on the thematic map, resulting in a smoothed thematic map. Fourth, edge detection and edge thinning techniques were used to generate a contour map with pixel-width interclass boundaries. Fifth, the contour map was superimposed on the thematic map by use of a region-growing algorithm with the contour map and the smoothed thematic map as two constraints. For the operation of the proposed method, a software package is developed using programming language C. This software package comprises the GML algorithm, a probabilistic relaxation algorithm, TBL edge detector, an edge thresholding algorithm, a fast parallel thinning algorithm, and a region-growing information fusion algorithm. The county of Landau of the State Rheinland-Pfalz, Germany was selected as a test site. The high-resolution IRS-1C imagery was used as the principal input data.

Messa a punto di un sistema di microscopia per l'analisi quantitativa di segnali fluorescenti

L’elaborato di tesi, che rientra nell’ambito di un progetto di collaborazione tra l’equipe del laboratorio ICM “Silvio Cavalcanti”, coordinato dal professor Giordano, e il CVG (Computer Vision Group) coordinato dal professor Bevilacqua, mira alla messa a punto di un sistema di misura quantitativa di segnali fluorescenti, tramite l’elaborazione di immagini acquisite in microscopia ottica.

Predicting and monitoring cancer treatment response with diffusion-weighted MRI

An imaging biomarker that would provide for an early quantitative metric of clinical treatment response in cancer patients would provide for a paradigm shift in cancer care. Currently, nonimage based clinical outcome metrics include morphology, clinical, and laboratory parameters, however, these are obtained relatively late following treatment. Diffusion-weighted MRI (DW-MRI) holds promise for use as a cancer treatment response biomarker as it is sensitive to macromolecular and microstructural changes which can occur at the cellular level earlier than anatomical changes during therapy. Studies have shown that successful treatment of many tumor types can be detected using DW-MRI as an early increase in the apparent diffusion coefficient (ADC) values. Additionally, low pretreatment ADC values of various tumors are often predictive of better outcome. These capabilities, once validated, could provide for an important opportunity to individualize therapy thereby minimizing unnecessary systemic toxicity associated with ineffective therapies with the additional advantage of improving overall patient health care and associated costs. In this report, we provide a brief technical overview of DW-MRI acquisition protocols, quantitative image analysis approaches and review studies which have implemented DW-MRI for the purpose of early prediction of cancer treatment response.

Effect of systemic tetracycline on the degradation of tetracycline-impregnated bilayered collagen membranes: an animal study

BACKGROUND: Premature collagen membrane degradation may compromise the outcome of osseous regenerative procedures. Tetracyclines (TTCs) inhibit the catalytic activities of human metalloproteinases. Preprocedural immersion of collagen membranes in TTC and systemic administration of TTC may be possible alternatives to reduce the biodegradation of native collagen membranes. AIM: To evaluate the in vivo degradation of collagen membranes treated by combined TTC immersion and systemic administration. MATERIALS AND METHODS: Seventy-eight bilayered porcine collagen membrane disks were divided into three groups and were immersed in 0, 50, or 100 mg/mL TTC solution. Three disks, one of each of the three groups, were implanted on the calvaria of each of 26 Wistar rats. Thirteen (study group) were administered with systemic TTC (10 mg/kg), while the remaining 13 received saline injections (control group). Calvarial tissues were retrieved after 3 weeks, and histological sections were analyzed by image analysis software. RESULTS: Percentage of remaining collagen area within nonimpregnated membranes was 52.26 ± 20.67% in the study group, and 32.74 ± 13.81% in the control group. Immersion of membranes in 100 mg/mL TTC increased the amount of residual collagen to 63.46 ± 18.19% and 42.82 ± 12.99% (study and control groups, respectively). Immersion in 50 mg/mL TTC yielded maximal residual collagen values: 80.75 ± 14.86% and 59.15 ± 8.01% (study and control groups, respectively). Differences between the TTC concentrations, and between the control and the study groups were statistically significant. CONCLUSIONS: Immersion of collagen membranes in TTC solution prior to their implantation and systemic administration of TTC significantly decreased the membranes' degradation.

Delayed osteoblast differentiation and altered inflammatory response around implants placed in incisor sockets of type 2 diabetic rats

Objective: Central to the process of osseointegration is the recruitment of mesenchymal progenitor cells to the healing site, their proliferation and differentiation to bone synthesising osteoblasts. The process is under the control of pro-inflammatory cytokines and growth factors. The aim of this study was to monitor these key stages of osseointegration and the signalling milieu during bone healing around implants placed in healthy and diabetic bone. Methods: Implants were placed into the sockets of incisors extracted from the mandibles of normal Wistar and diabetic Goto-Kakizaki rats. Mandibles 1-12 weeks post-insertion of the implant were examined by histochemistry and immunocytochemistry to localise the presence of Stro-1- positive mesenchymal progenitor cells, proliferating cellular nuclear antigen proliferative cells, osteopontin and osteocalcin, macrophages, pro-inflammatory cytokines interleukin (IL)-1 , IL-6, tumour necrosis factor (TNF)- and tumour growth factor (TGF)- 1. Image analysis provided a semi-quantification of positively expressing cells. Results: Histological staining identified a delay in the formation of mineralised bone around implants placed in diabetic animals. Within the diabetic bone, the migration of Stro-1 mesenchymal cells in the healing tissue appeared to be unaffected. However, in the diabetic healing bone, the onset of cell proliferation and osteoblast differentiation were delayed and subsequently prolonged compared with normal bone. Similar patterns of change were observed in diabetic bone for the presence of IL-1 , TNF- , macrophages and TGF- 1. Conclusion: The observed alterations in the extracellular presence of pro-inflammatory cytokines, macrophages and growth factors within diabetic tissues that correlate to changes in the signalling milieu, may affect the proliferation and differentiation of mesenchymal progenitor cells in the osseointegration process. To cite this article: Colombo JS, Balani D, Sloan AJ, St Crean J, Okazaki J, Waddington RJ. Delayed osteoblast differentiation and altered inflammatory response around implants placed in incisor sockets of type 2 diabetic rats Clin. Oral Impl. Res22, 2011; 578-586 doi: 10.1111/j.1600-0501.2010.01992.x.

A MICROFLUIDIC METHOD TO MEASURE DIFFUSION IN HYDROGELS

A novel microfluidic method is proposed for studying diffusion of small molecules in a hydrogel. Microfluidic devices were prepared with semi-permeable microchannels defined by crosslinked poly(ethylene glycol) (PEG). Uptake of dye molecules from aqueous solutions flowing through the microchannels was observedoptically and diffusion of the dye into the hydrogel was quantified. To complement the diffusion measurements from the microfluidic studies, nuclear magnetic resonance(NMR) characterization of the diffusion of dye in the PEG hydrogels was performed. The diffusion of small molecules in a hydrogel is relevant to applications such asdrug delivery and modeling transport for tissue-engineering applications. The diffusion of small molecules in a hydrogel is dependent on the extent of crosslinking within the gel, gel structure, and interactions between the diffusive species and the hydrogel network. These effects were studied in a model environment (semi-infinite slab) at the hydrogelfluid boundary in a microfluidic device. The microfluidic devices containing PEG microchannels were fabricated using photolithography. The unsteady diffusion of small molecules (dyes) within the microfluidic device was monitored and recorded using a digital microscope. The information was analyzed with techniques drawn from digital microscopy and image analysis to obtain concentration profiles with time. Using a diffusion model to fit this concentration vs. position data, a diffusion coefficient was obtained. This diffusion coefficient was compared to those from complementary NMR analysis. A pulsed field gradient (PFG) method was used to investigate and quantify small molecule diffusion in gradient (PFG) method was used to investigate and quantify small molecule diffusion in hydrogels. There is good agreement between the diffusion coefficients obtained from the microfluidic methods and those found from the NMR studies. The microfluidic approachused in this research enables the study of diffusion at length scales that approach those of vasculature, facilitating models for studying drug elution from hydrogels in blood-contacting applications.

Development of a biocrystallisation assay for examining effects of homeopathic preparations ursing cress seedlings

A major challenge in basic research into homeopathic potentisation is to develop bioassays that yield consistent results. We evaluated the potential of a seedling-biocrystallisation method. Cress seeds (Lepidium sativum L.) germinated and grew for 4 days in vitro in Stannum metallicum 30x or water 30x in blinded and randomized assignment. 15 experiments were performed at two laboratories. CuCl2-biocrystallisation of seedlings extracted in the homeopathic preparations was performed on circular glass plates. Resulting biocrystallograms were analysed by computerized textural image analysis. All texture analysis variables analysed yielded significant results for the homeopathic treatment; thus the texture of the biocrystallograms of homeopathically treated cress exhibited specific characteristics. Two texture analysis variables yielded differences between the internal replicates, most probably due to a processing order effect. There were only minor differences between the results of the two laboratories. The biocrystallisation method seems to be a promising complementary outcome measure for plant bioassays investigating effects of homeopathic preparations.

MODIFIED TEST STATISTICS BY INTER-VOXEL VARIANCE SHRINKAGE WITH AN APPLICATION TO fMRI

Functional Magnetic Resonance Imaging (fMRI) is a non-invasive technique which is commonly used to quantify changes in blood oxygenation and flow coupled to neuronal activation. One of the primary goals of fMRI studies is to identify localized brain regions where neuronal activation levels vary between groups. Single voxel t-tests have been commonly used to determine whether activation related to the protocol differs across groups. Due to the generally limited number of subjects within each study, accurate estimation of variance at each voxel is difficult. Thus, combining information across voxels in the statistical analysis of fMRI data is desirable in order to improve efficiency. Here we construct a hierarchical model and apply an Empirical Bayes framework on the analysis of group fMRI data, employing techniques used in high throughput genomic studies. The key idea is to shrink residual variances by combining information across voxels, and subsequently to construct an improved test statistic in lieu of the classical t-statistic. This hierarchical model results in a shrinkage of voxel-wise residual sample variances towards a common value. The shrunken estimator for voxelspecific variance components on the group analyses outperforms the classical residual error estimator in terms of mean squared error. Moreover, the shrunken test-statistic decreases false positive rate when testing differences in brain contrast maps across a wide range of simulation studies. This methodology was also applied to experimental data regarding a cognitive activation task.

Cerebral correlates of muscle tone fluctuations in restless legs syndrome: A pilot study with combined functional magnetic resonance imaging and anterior tibial muscle electromyography

BACKGROUND: The pathology of restless legs syndrome (RLS) is still not understood. To investigate the pathomechanism of the disorder further we recorded a surface electromyogram (EMG) of the anterior tibial muscle during functional magnetic resonance imaging (fMRI) in patients with idiopathic RLS. METHODS: Seven subjects with moderate to severe RLS were investigated in the present pilot study. Patients were lying supine in the scanner for over 50min and were instructed not to move voluntarily. Sensory leg discomfort (SLD) was evaluated on a 10-point Likert scale. For brain image analysis, an algorithm for the calculation of tonic EMG values was developed. RESULTS: We found a negative correlation of tonic EMG and SLD (p <0.01). This finding provides evidence for the clinical experience that RLS-related subjective leg discomfort increases during muscle relaxation at rest. In the fMRI analysis, the tonic EMG was associated with activation in motor and somatosensory pathways and also in some regions that are not primarily related to motor or somatosensory functions. CONCLUSIONS: By using a newly developed algorithm for the investigation of muscle tone-related changes in cerebral activity, we identified structures that are potentially involved in RLS pathology. Our method, with some modification, may also be suitable for the investigation of phasic muscle activity that occurs during periodic leg movements.

Automatic extraction of femur contours from calibrated fluoroscopic images

Automatic identification and extraction of bone contours from X-ray images is an essential first step task for further medical image analysis. In this paper we propose a 3D statistical model based framework for the proximal femur contour extraction from calibrated X-ray images. The automatic initialization is solved by an estimation of Bayesian network algorithm to fit a multiple component geometrical model to the X-ray data. The contour extraction is accomplished by a non-rigid 2D/3D registration between a 3D statistical model and the X-ray images, in which bone contours are extracted by a graphical model based Bayesian inference. Preliminary experiments on clinical data sets verified its validity