EDTA conditioning of circumpulpal dentine induces dentinogenic events in pulpotomized miniature swine teeth.

AIM: To investigate pulp responses after pulpotomy and EDTA conditioning of pulp chamber dentinal walls with or without the placement of a collagenous scaffold in the experimental model of miniature swine teeth. METHODOLOGY: Forty-two fully developed permanent premolars and molars of healthy miniature swines were used. After preparation of pulp exposures through Class I cavities, the tissue of the pulp chamber was completely removed. The haemorrhage was controlled, and the root pulp was protected using a polyurethane film. The circumpulpal pulp chamber dentine was treated for 3 min with normal saline (group 1), or 17% EDTA solution (groups 2 and 3). The film was removed, and the pulp chamber cavities were left empty (groups 1 and 2), or filled with swine collagenous sponge (group 3). The access cavities were restored with a Teflon disc and glass ionomer. Teeth were evaluated histo-morphologically after 10 weeks. Data were compared using the nonparametric Fisher's exact test. RESULTS: Teeth after treatment of dentine with saline (group 1) were associated with no or only traces of hard tissue formation along the root canal walls. Atubular tertiary dentine deposition in the form of matrix deposition along root canal walls, or dentine bridge formation at the orifice of root canals or complete pulp canal obliteration, was found after treatment of dentine with EDTA in both experiments (groups 2 and 3). Significantly different types of mineralization in the root canals of groups 2 and 3 were seen (P = 0.001). Tissue changes in the pulp cavity, characterized by soft tissue growth and osteodentine or atubular tertiary dentine formation, were only seen after EDTA conditioning of dentine, in 6.2% of the teeth without scaffold and 64.7% of the teeth with scaffold application. Newly deposited mineralized matrix in the pulp chamber was always in continuation with hard tissue deposited in the root canals. CONCLUSIONS: The EDTA conditioning of pulp cavity dentinal walls after pulpotomy induced dentinogenic events in the root pulp. Application of collagenous scaffold in the pulp chamber enhanced soft tissue growth and mineralized tissue formation along the treated circumpulpal dentine.

The Differentiation Potential of Apical Papilla Cells in Relation to Tenascin-C and Syndecan-1 Expression and Their Potential Role in Regeneration.

Introduction: This study investigated the distribution pattern of tenascin-C and syndecan-1 in the dental mesenchyme during root development of immature swine teeth in order to define the differentiation dynamics of both pulp tissue progenitors and apical papilla cells, as well as to assess the adequacy criticize of the apical papilla to induce dentin-pulp regeneration. Methods: Three 7-month-old miniature swine were used in this study. A total of 12 teeth, including two immature permanent incisors and two premolar teeth of each case, were extracted and processed for histological and immunohistochemical analysis. Different populations of mesenchymal cells located at the root apex were morphologically evaluated in hematoxylin-eosin serial sections. Additionally, the distribution patterns of tenascin-C and syndecan-1 were assessed immunohistochemically. Results: Syndecan-1 was strongly expressed in the dental pulp, particularly along the odontoblasts of the root and the newly deposited predentin layer. Tenascin-C was intensely expressed in the dental pulp. The apical papilla and dental follicle showed no expression of either molecule. Conclusions: Cell differentiation potential in the developing swine apex is progressively restricted to the newly formed dental pulp, whereas phenotypic expression of apical papilla cells remains undetermined unless the new microenvironment triggers cell differentiation towards the odontoblastic lineage.

Periodontal disease as a potential factor for systemic inflammatory response in the dog.

Periodontal disease is an inflammatory disease that has numerous consequences both locally and systemically The aim of this study was to assess whether periodontal disease causes systemic inflammatory response in otherwise healthy, adult dogs. We estimated the total mouth periodontal score (TMPS), measured the concentration of C-reactive protein (CRP), hematocrit, and albumin, and determined the white blood cell (WBC) and polymorphonuclear cell (PMN) counts in client-owned dogs. There was a statistically significant relationship between the gingival bleeding index (TMPS-G) and CRP concentration, and WBC and PMN counts, possibly during the active periods of periodontal tissue destruction. No correlation was found between the periodontal destruction index (TMPS-P) and the measured blood parameters. We conclude that chronic periodontal disease does not cause anemia or a reduction in serum albumin. However, active periods of periodontal inflammation may be associated with laboratory values suggestive of a systemic inflammatory response.

Transdentinal stimulation of tertiary dentine formation and intratubular mineralization by growth factors.

AIM: To evaluate the effects of recombinant growth factors on tertiary dentine formation and intratubular mineralization after their application on deep dentinal cavities in dog's teeth. METHODOLOGY: Treatment included dentinal etching (37% phosphoric acid) and applications of bioactive molecules (1 microg mL(-1) TGF-beta1, 10 microg mL(-1) IGF-1, 10 microg mL(-1) bFGF, 10 microg mL(-1) OP-1 or 1 microg mL(-1) monoclonal anti-human TGF-beta1 in phosphate buffered saline, PBS) at the dentinal base of buccal Class V cavities. Control groups were treated with 0.1% dog serum albumin (DSA) in PBS omitting the growth factors. This was performed both with and without dentinal etching. The dentinal responses regarding tertiary dentine formation and intratubular mineralization were assessed after 3 and 8 weeks, respectively, using light and scanning electron microscopy. Some specimens were also subjected to dentine permeability testing. RESULTS: The group treated with transforming growth factor-beta1 (TGF-beta1) and, to a lesser extent, the one treated with osteogenic protein-1 (OP-1) showed significantly greater (P < 0.05) tertiary dentine formation and intratubular mineralization over an 8-week period when compared with the control and the other experimental groups. There were no significant differences between groups in reduction in dentine permeability after treatment. CONCLUSION: Treatment of exposed dentinal tubules with biologically active molecules might induce intratubular mineralization and tertiary dentine formation. Further research is needed to substantiate any clinical benefits as opposed to traditional treatments of exposed dentine so as to provide a scientific base for the clinical regulation of dentine reactions.

Improvement in chemical and physical stability of fluvastatin drug through hydrogen bonding interactions with different polymer matrices.

Solid dispersions of Fluvastatin with polyvinylpyrrolidone (PVP), eudragit RS100 (Eud), and chitosan (CS) as drug carrier matrices, were prepared using different techniques in order to evaluate their effect on Fluvastatin stability during storage. The characterization of the three different systems was performed with the use of differential scanning calorimetry (DSC) and wide angle X-ray diffractometry (WAXD). It was revealed that amorphization of the drug occurred in all of the solid dispersions of Fluvastatin as a result of drug dissolution into polymer matrices and due to physical interactions (hydrogen bonding) between the polymer matrix and Fluvastatin. This was established through the use of FTIR spectroscopy. SEM and micro-Raman spectroscopy showed that Fluvastatin was interspersed to the polymer matrices in the form of molecular dispersion and nanodispersion, too. The finding that completely different polymer matrices, used here as drug carriers, produce completely different dissolution profiles for each one of the solid dispersions, suggests that each matrix follows a different drug release mechanism. Hydrogen bonding interactions as in the case of CS/Fluva solid dispersions lead to controlled release profiles. All formulations were subjected to accelerated aging in order to evaluate Fluvastatin stability. From by-products analysis it was found that Fluvastatin is very unstable during storage and anti-isomer as well as lactones are the main formed by-products. On the other hand, solid dispersions due to the evolved interactions of their reactive groups with Fluvastatin provide a sufficient physical and chemical stability. The extent of interactions seems to play the most important role in the drug stabilization.

Chronic Gingivostomatitis with Esophagitis in Cats.

BACKGROUND: Chronic gingivostomatitis in cats (FCG) is a debilitating disease with potentially deleterious effects on overall health. HYPOTHESIS/OBJECTIVES: Little is known about the pathophysiology and overall impact of FCG. The aims of our study were to investigate whether gingivostomatitis occurs concurrently with esophagitis, if FCG treatment contributes to esophagitis and if esophagitis exacerbates signs of FCG. ANIMALS: Fifty-eight cats with clinical signs of FCG and 12 healthy control cats exhibiting no signs of oral disease, all client-owned. METHODS: Prospective study. Physical, oral and endoscopic examinations were performed on all cats. Measurements of salivary and esophageal lumen pH were obtained from both groups. Biopsies were acquired from sites of esophageal inflammation in cats with FCG and from normal-appearing esophageal mucosa in control cats. RESULTS: The majority of cats with clinical signs of FCG exhibited some degree of esophagitis especially in the proximal (44/58) and distal (53/58) parts (P < 0.001) with or without columnar metaplasia, compared to controls. All cats lacked signs related to gastrointestinal disease. Salivary and esophageal lumen pH were not statistically different compared to controls. CONCLUSIONS AND CLINICAL IMPORTANCE: Feline chronic gingivostomatitis seems to occur concurrently with esophagitis. Esophagitis also should be managed in cats with chronic gingivostomatitis because it may aggravate the existing condition.

A clinical study of plasminogen activator activity in gingival tissue in dogs with gingivitis and periodontitis.

The aim of the present study was to evaluate plasminogen activator activity (PAA), tissue-type plasminogen activator (t-PA) antigen level and plasminogen activator inhibitor-1 (PAI-1) antigen in normal canine gingival tissue samples, gingivitis as well as in different stages of periodontal disease. Gingival tissue from 141 adult dogs were analysed spectrophotometrically in order to determine PAA. The tissues were also examined histopathologically. The Sulcus Bleeding Index was used to evaluate the active and inactive phase of periodontal disease. T-PA antigen as well as PAI-1 antigen level was measured by ELISA. There was a significant increase of PAA and t-PA antigen in samples from inflamed gingival tissue compared with normal gingival tissue, while PAI-1 antigen was not detected in either normal or inflamed gingiva. As the severity of periodontal disease was increasing, PAA and t-PA antigen values were significantly higher in periodontitis tissue sample groups, according to the pattern: gingivitismoderate bleeding>slight bleeding, P<0.001). In conclusion, this study indicates that PAA and t-PA antigen level may be used to evaluate the evolution of periodontal disease in dog.

Fluorescent polymeric nanovehicles for neural stem cell modulation.

Nanomaterials are emerging as strong candidates for applications in drug delivery and offer an alternative platform to modulate the differentiation and activity of neural stem cells. Herein we report the synthesis and characterization of two different classes of polymeric nanoparticles: N-isopropylacrylamide-based thermoresponsive nanogels RM1 and P(TEGA)-b-P(d,lLA)2 nano-micelles RM2. We covalently linked the nanoparticles with fluorescent tags and demonstrate their ability to be internalized and tracked in neural stem cells from the postnatal subventricular zone, without affecting their proliferation, multipotency and differentiation characteristics up to 150 µg ml-1. The difference in chemical structure of RM1 and RM2 does not appear to impact toxicity however it influences the loading capacity. Nanogels RM1 loaded with retinoic acid improve solubility of the drug which is released at 37 °C, resulting in an increase in the number of neurons, comparable to what can be obtained with a solution of the free drug solubilised with a small percentage of DMSO.

Compound maxillary odontoma in a young German shepherd dog.

A three-month-old, male German shepherd dog was admitted with a facial mass of two months' duration. Clinical examination showed a round mass, 3 cm in diameter, in the left infraorbital area. The upper last premolar deciduous tooth was not erupted. No other abnormalities were detected. Radiological examination revealed a posterior maxillary mass of mixed opacity. The mass was surgically excised. Histopathological examination demonstrated a connective tissue stroma containing foci of irregular enamel and dentine, resembling rudimentary teeth (denticles), surrounded by new bone formation. Morphology and structure of the denticles were also confirmed by scanning electron microscopy. A compound odontoma was diagnosed. One year after surgery, the dog was free of clinical signs.

Influence of a titanium mesh on the management of segmental long bone defects. An experimental study in a canine ulnar model.

OBJECTIVES: To evaluate the influence of titanium mesh on guided bone regeneration when used, either alone or in combination with autogenous bone block graft, in a canine ulnar model. METHODS: Thirty-two, purpose bred, adult, castrated male Beagles were used, divided into four equal-size groups. A unilateral mid-diaphyseal ulnar critical-size defect was created in each dog. The ulnar segments were stabilized with a stainless-steel plate and screws. Each defect was managed by: no further treatment (Group A) or by placement of a bone block graft taken from the ipsilateral iliac crest (Group B), or titanium mesh wrapped around the ulna (Group C), or a bone block graft and titanium mesh (Group D). After six months, bone block biopsies were performed and the samples were scanned using micro-computed tomography. Qualitative histological evaluation was performed on two non-decalcified longitudinal sections from each block. RESULTS: No significant differences in terms of mineralized bone volume were detected between the grafted sites (Groups B and D) or between the non-grafted ones (Groups A and C). The histological evaluation indicated good integration of the bone blocks irrespective of the use of titanium mesh. CLINICAL SIGNIFICANCE: The use of titanium mesh does not influence the amount of bone formation. The canine ulnar critical-size defect model seems to be a reliable model to use in experimental studies.

Effects of recombinant basic fibroblast growth factor, insulin-like growth factor-II and transforming growth factor-beta 1 on dog dental pulp cells in vivo.

The effects of recombinant basic fibroblast growth factor (bFGF), insulin-like growth factor (IGF)-II and transforming growth factor (TGF)-beta 1 on dental pulp cells were investigated by light and transmission electron microscopy after their implantation for 1 and 3 weeks at central sites of mechanically exposed pulps in dog molar and canine teeth. The implants were Millipore filters that have been soaked with solutions containing 100 or 500 ng/ml of bFGF or IGF-II or 100 ng/ml of TGF-beta 1. Control filters were soaked with dog albumin. No changes in cell organization or matrix synthesis were seen after implantation of control filters. Groups of columnar, polarized cells with numerous mitochondria and Golgi elements or elongated cells unassociated with any matrix deposition were demonstrated after 1 or 3 weeks, respectively, in close proximity to the filters that had been soaked with bFGF solution; at a distance from these implants enhanced formation of an osteotypic matrix was seen beneath the exposure site. No particular response was found in close proximity to the filters that had been soaked with IGF-II solution after 1 or 3 weeks implantation but thick zones of osteodentine were found beneath the exposure site and at adjacent circumferential dentine sites. Numerous elongated, polarized cells with long cytoplasmic extensions invading the filter pores were consistently seen after 1 week in close proximity to the filters that had been soaked with TGF-beta 1 solution. After 3 weeks implantation of these filters, deposition of a tubular matrix surrounding the implants was seen in association with the highly elongated odontoblast-like cells, while enhancement of circumferential dentine formation was also found at adjacent peripheral sites. These experiments demonstrate that TGF-beta 1 when implanted for short term periods at central pulp sites exerted dentine-specific effects, inducing differentiation of odontoblast-like cells and stimulating primary odontoblasts. Implantation of bFGF and IGF-II did not result in reparative dentine formation, but did stimulate osteotypical matrix deposition at a distance from the implants.

Radial basis function neural networks for the characterization of heart rate variability dynamics.

This study introduces new neural network based methods for the assessment of the dynamics of the heart rate variability (HRV) signal. The heart rate regulation is assessed as a dynamical system operating in chaotic regimes. Radial-basis function (RBF) networks are applied as a tool for learning and predicting the HRV dynamics. HRV signals are analyzed from normal subjects before and after pharmacological autonomic nervous system (ANS) blockade and from diabetic patients with dysfunctional ANS. The heart rate of normal subjects presents notable predictability. The prediction error is minimized, in fewer degrees of freedom, in the case of diabetic patients. However, for the case of pharmacological ANS blockade, although correlation dimension approaches indicate significant reduction in complexity, the RBF networks fail to reconstruct adequately the underlying dynamics. The transient attributes of the HRV dynamics under the pharmacological disturbance is elucidated as the explanation for the prediction inability.

Ischemia detection with a self-organizing map supplemented by supervised learning.

The problem of maximizing the performance of the detection of ischemia episodes is a difficult pattern classification problem. The motivation for developing the supervising network self-organizing map (sNet-SOM) model is to exploit this fact for designing computationally effective solutions both for the particular ischemic detection problem and for other applications that share similar characteristics. Specifically, the sNet-SOM utilizes unsupervised learning for the "simple" regions and supervised for the "difficult" ones in a two stage learning process. The unsupervised learning approach extends and adapts the self-organizing map (SOM) algorithm of Kohonen. The basic SOM is modified with a dynamic expansion process controlled with an entropy based criterion that allows the adaptive formation of the proper SOM structure. This extension proceeds until the total number of training patterns that are mapped to neurons with high entropy reduces to a size manageable numerically with a capable supervised model. The second learning phase has the objective of constructing better decision boundaries at the ambiguous regions. At this phase, a special supervised network is trained for the computationally reduced task of performing the classification at the ambiguous regions only. The utilization of sNet-SOM with supervised learning based on the radial basis functions and support vector machines has resulted in an improved accuracy of ischemia detection especially in the last case. The highly disciplined design of the generalization performance of the support vector machine allows designing the proper model for the number of patterns transferred to the supervised expert.

Hierarchical state space partitioning with a network self-organising map for the recognition of ST-T segment changes.

The problem of maximising the performance of ST-T segment automatic recognition for ischaemia detection is a difficult pattern classification problem. The paper proposes the network self-organising map (NetSOM) model as an enhancement to the Kohonen self-organised map (SOM) model. This model is capable of effectively decomposing complex large-scale pattern classification problems into a number of partitions, each of which is more manageable with a local classification device. The NetSOM attempts to generalize the regularization and ordering potential of the basic SOM from the space of vectors to the space of approximating functions. It becomes a device for the ordering of local experts (i.e. independent neural networks) over its lattice of neurons and for their selection and co-ordination. Each local expert is an independent neural network that is trained and activated under the control of the NetSOM. This method is evaluated with examples from the European ST-T database. The first results obtained after the application of NetSOM to ST-T segment change recognition show a significant improvement in the performance compared with that obtained with monolithic approaches, i.e. with single network types. The basic SOM model has attained an average ischaemic beat sensitivity of 73.6% and an average ischaemic beat predictivity of 68.3%. The work reports and discusses the improvements that have been obtained from the implementation of a NetSOM classification system with both multilayer perceptrons and radial basis function (RBF) networks as local experts for the ST-T segment change problem. Specifically, the NetSOM with multilayer perceptrons (radial basis functions) as local experts has improved the results over the basic SOM to an average ischaemic beat sensitivity of 75.9% (77.7%) and an average ischaemic beat predictivity of 72.5% (74.1%).

Nonlinear analysis of the performance and reliability of wavelet singularity detection based denoising for Doppler ultrasound fetal heart rate signals.

Many studies on the physiology of the cardiovascular system revealed that nonlinear chaotic dynamics govern the generation of the heart rate signal. This is also valid for the fetal heart rate (FHR) variability, where however the variability is affected by many more factors and is significantly more complicated than for the adult case. Recently an adaptive wavelet denoising method for the Doppler ultrasound FHR recordings has been introduced. In this paper the performance and reliability of that method is confirmed by the observation that for the wavelet denoised FHR signal, a deterministic nonlinear structure, which was concealed by the noise, becomes apparent. It provides strong evidence that the denoising process removes actual noise components and can therefore be utilized for the improvement of the signal quality. Hence by observing after denoising a significant improvement of the 'chaoticity' of the FHR signal we obtain strong evidence for the reliability and efficiency of the wavelet based denoising method. The estimation of the chaoticity of the FHR signal before and after the denoising is approached with three nonlinear analysis methods. First, the rescaled scale analysis (RSA) technique reveals that the denoising process increases the Hurst exponent parameter as happens when additive noise is removed from a chaotic signal. Second, the nonlinear prediction error evaluated with radial basis function (RBF) prediction networks is significantly lower at the denoised signal. The significant gain in predictability can be attributed to the drastic reduction of the additive noise from the signal by the denoising algorithm. Moreover, the evaluation of the correlation coefficient between actual and neural network predicted values as a function of the prediction time displays characteristics of chaos only for the denoised signal. Third, a chaotic attractor, reconstructed with the embedding dimension technique, becomes evident for the denoised signal, while it is completely obscured for the original signals. The correlation dimension of the reconstructed attractor for the denoised signal tends to reach a value independent of the embedding dimension, a sign of deterministic chaotic signal. In contrast for the original signal the correlation dimension increases steadily with the embedding dimension, a fact that indicates strong contribution of noise.

Denoising of the fetal heart rate signal with non-linear filtering of the wavelet transform maxima.

The fetal heart rate (FHR) signal provides valuable information for fetal development and well-being. However, the FHR traces derived from present-day ultrasound cardiotocographs are not of the desired quality. The paper applies the wavelet transform (WT) in order to denoise effectively the FHR signal. The denoising procedure analyses the evolution of the WT maxima across scales. The singularities of the signal create wavelet maxima with different properties from those of the induced noise. Since it is difficult to formulate precise rules that distinguish between the wavelet maxima of the FHR signal from those of the noise we have trained a neural network for this classification task. The neural network draws out successfully the noise induced wavelet maxima. An improved FHR signal can be obtained from the coarser wavelet approximation signal component and the filtered wavelet maxima by means of the inverse dyadic wavelet transform. Also, feature extraction and processing algorithms can be defined on the denoised wavelet coefficients (instead of on the original signal).

The nonlinear predictability of the electrotelluric field variations data analyzed with support vector machines as an earthquake precursor.

This work investigates the nonlinear predictability of the Electro Telluric Field (ETF) variations data in order to develop new intelligent tools for the difficult task of earthquake prediction. Support Vector Machines trained on a signal window have been used to predict the next sample. We observe a significant increase at this short-term unpredictability of the ETF signal at about two weeks time period before the major earthquakes that took place in regions near the recording devices. The unpredictability increase can be attributed to a quick time variation of the dynamics that produce the ETF signal due to the earthquake generation process. Thus, this increase can be taken into advantage for signaling for an increased possibility of a large earthquake within the next few days in the neighboring region of the recording station.

The performance and reliability of wavelet denoising for Doppler ultrasound fetal heart rate signal preprocessing.

The present paper deals with the performance and the reliability of a Wavelet Denoising method for Doppler ultrasound Fetal Heart Rate (FHR) recordings. It displays strong evidence that the denoising process extracts the actual noise components. The analysis is approached with three methods. First, the power spectrum of the denoised FHR displays more clearly an 1/fa scaling law, i.e. the characteristic of fractal time series. Second, the rescaled scale analysis technique reveals a Hurst exponent at the range of 0.7-0.8 that corresponds to a long memory persistent process. Moreover, the variance of the Hurst exponent across time scales is smaller at the denoised signal. Third, a chaotic attractor reconstructed with the embedding dimension technique becomes evident at the denoised signals, while it is completely obscured at the unfiltered ones.

Halophyte filter beds for treatment of saline wastewater from aquaculture.

The expansion of aquaculture and the recent development of more intensive land-based marine farms require efficient and cost-effective systems for treatment of highly nutrient-rich saline wastewater. Constructed wetlands with halophytic plants offer the potential for waste-stream treatment combined with production of valuable secondary plant crops. Pilot wetland filter beds, constructed in triplicate and planted with the saltmarsh plant Salicornia europaea, were evaluated over 88 days under commercial operating conditions on a marine fish and shrimp farm. Nitrogen waste was primarily in the form of dissolved inorganic nitrogen (TDIN) and was removed by 98.2 ± 2.2% under ambient loadings of 109-383 µmol l(-1). There was a linear relationship between TDIN uptake and loading over the range of inputs tested. At peak loadings of up to 8185 ± 590 µmol l(-1) (equivalent to 600 mmol N m(-2) d(-1)), the filter beds removed between 30 and 58% (250 mmol N m(-2) d(-1)) of influent TDIN. Influent dissolved inorganic phosphorus levels ranged from 34 to 90 µmol l(-1), with 36-89% reduction under routine operations. Dissolved organic nitrogen (DON) loadings were lower (11-144 µmol l(-1)), and between 23 and 69% of influent DON was removed during routine operation, with no significant removal of DON under high TDIN loading. Over the 88-day study, cumulative nitrogen removal was 1.28 mol m(-2), of which 1.09 mol m(-2) was retained in plant tissue, with plant uptake ranging from 2.4 to 27.0 mmol N g(-1) dry weight d(-1). The results demonstrate the effectiveness of N and P removal from wastewater from land-based intensive marine aquaculture farms by constructed wetlands planted with S. europaea.

Facile synthesis of polyester-PEG triblock copolymers and preparation of amphiphilic nanoparticles as drug carriers.

Novel amphiphilic triblock copolymers of poly(propylene succinate) (PPSu) and poly(ethylene glycol) (PEG) with different hydrophobic/hydrophilic ratios were synthesized using a facile one-pot procedure. The molecular weight of the copolymers was adjusted by varying the molecular weight of PPSu while keeping that of PEG constant. The copolymers exhibited glass transition temperatures between -36.0 and -38°C and single melting points around 44°C. WAXD data indicated that both blocks of the copolymers could crystallize. The mPEG-PPSu copolymers exhibited low in vitro toxicity against HUVEC cells. The synthesized copolymers were used to prepare core-shell nanoparticles with hydrophobic PPSu and hydrophilic PEG forming the core and shell, respectively. The drug loading efficiency and drug release properties of the mPEG-PPSu nanoparticles were investigated using two model drugs: the hydrophilic Ropinirole and the hydrophobic Tibolone. The mean size of the drug-loaded mPEG-PPSu nanoparticles ranged between 150 and 300nm and increased with the molecular weight of the PPSu block. The drug loading efficiency of the nanoparticles was found to be dependent upon drug hydrophilicity and was much higher for the hydrophobic Tibolone. Drug release characteristics also depended on drug hydrophilicity: the hydrophilic Ropinirole was released at a much higher rate than the hydrophobic Tibolone. Contrary to Ropinirole, the profiles of Tibolone exhibited an early phase of burst release followed by a phase of slow release. By varying the composition (mPEG/PPSu ratio) of mPEG-PPSU copolymers, nanoparticles of different sizes and drug loading capacities can be synthesized exhibiting different drug release characteristics. Based on the results obtained, the proposed mPEG-PPSu copolymers can be useful in various controlled drug delivery applications, especially those involving relatively hydrophobic drugs.