Abnormalities in Expression of Structural, Barrier and Differentiation Related Proteins, and Chondroitin Sulfate in Feline and Human Interstitial Cystitis.

PURPOSE: We analyzed the urothelium of cats diagnosed with feline interstitial cystitis to determine whether abnormalities in protein expression patterns could be detected and whether the expression pattern was similar to that in patients with human interstitial cystitis/bladder pain syndrome. The proteins analyzed are involved in cell adhesion and barrier function, comprise the glycosaminoglycan layer or are differentiation markers. MATERIALS AND METHODS: Formalin fixed biopsies from 8 cats with feline interstitial cystitis and from 7 healthy control cats were labeled by immunohistochemistry and scored with a modified version of a system previously used for human samples. Cluster analysis was performed to investigate relationships between markers and samples. RESULTS: Of the feline interstitial cystitis bladders 89% showed abnormal protein expression and chondroitin sulfate patterns while only 27% of normal tissues showed slight abnormalities. Abnormalities were found in most feline interstitial cystitis samples, including biglycan in 87.5%, chondroitin sulfate, decorin, E-cadherin and keratin-20 in 100%, uroplakin in 50% and ZO-1 in 87.5%. In feline interstitial cystitis bladders about 75% of chondroitin sulfate, biglycan and decorin samples demonstrated absent luminal staining or no staining. Cluster analysis revealed that feline interstitial cystitis and normal samples could be clearly separated into 2 groups, showing that the urothelium of cats with feline interstitial cystitis is altered from normal urothelium. CONCLUSIONS: Feline interstitial cystitis produces changes in luminal glycosaminoglycan and several proteins similar to that in patients, suggesting some commonality in mechanism. Results support the use of feline interstitial cystitis as a model of human interstitial cystitis.

3D tissue-engineered construct analysis via conventional high-resolution microcomputed tomography without X-ray contrast.

As the field of tissue engineering develops, researchers are faced with a large number of degrees of freedom regarding the choice of material, architecture, seeding, and culturing. To evaluate the effectiveness of a tissue-engineered strategy, histology is typically done by physically slicing and staining a construct (crude, time-consuming, and unreliable). However, due to recent advances in high-resolution biomedical imaging, microcomputed tomography (µCT) has arisen as a quick and effective way to evaluate samples, while preserving their structure in the original state. However, a major barrier for using µCT to do histology has been its inability to differentiate between materials with similar X-ray attenuation. Various contrasting strategies (hardware and chemical staining agents) have been proposed to address this problem, but at a cost of additional complexity and limited access. Instead, here we suggest a strategy for how virtual 3D histology in silico can be conducted using conventional µCT, and we provide an illustrative example from bone tissue engineering. The key to our methodology is an implementation of scaffold surface architecture that is ordered in relation to cells and tissue, in concert with straightforward image-processing techniques, to minimize the reliance on contrasting for material segmentation. In the case study reported, µCT was used to image and segment porous poly(lactic acid) nonwoven fiber mesh scaffolds that were seeded dynamically with mesenchymal stem cells and cultured to produce soft tissue and mineralized tissue in a flow perfusion bioreactor using an osteogenic medium. The methodology presented herein paves a new way for tissue engineers to identify and distinguish components of cell/tissue/scaffold constructs to easily and effectively evaluate the tissue-engineering strategies that generate them.

Mechanical and in vitro investigation of a porous PEEK foam for medical device implants.

PURPOSE: Implantable-grade polyetheretherketone (PEEK-OPTIMA®) is a high-performance thermoplastic that has been used in implant devices such as spinal-fusion cages since its introduction in 1999. Here, a new porous PEEK version was investigated. METHODS: Porous PEEK was fabricated using industrial scale relevant methods of compounding with porogen filler, extrusion, and subsequent extraction with water at supercritical temperatures and pressures. Mechanical properties were assessed according to ISO standards. Marrow stromal cells were cultured on porous PEEK samples and in vitro cytocompatibility was assessed by total DNA, alkaline phosphatase activity, osteopontin, calcium, and cell morphology to indicate stages of proliferation, differentiation, and mineralization. Compressive strength was assessed statically on 21 day cell cultures and media-soaked samples and dynamically within a medical device application specific context for interbody fusion cages (ASTM F2077). RESULTS: Manufacturing resulted in a biomaterial with ~50% porosity and a mean pore size of 100 microns. The porous PEEK was found to have: tensile strength (14.5MPa), strain at break (3.5%), impact strength (3.6 kJ/m2), flexural strength (21.6MPa), and flexural modulus (0.8GPa). Production of extracellular mineralized matrix occurred very early in the culture period, indicating a preferred surface for differentiation. SEM images revealed polygonal cell morphology supporting a differentiated osteoblastic-like phenotype. EDS analysis detected levels of carbon, phosphorus, and calcium coinciding with assay results for the proliferation and differentiation stages. CONCLUSION: Previous observations of cytocompatibility and calcification on the PEEK biomaterial could be carried through to this new porous form of the PEEK biomaterial. This helps porous PEEK to potentially offer more design options for implant devices requiring reduced modulus and/or increased tissue ingrowth aspects at the surface.

Predicting the stress distribution within scaffolds with ordered architecture.

Current tissue engineering technologies involve the seeding of cells on porous scaffolds, within which the cells can proliferate and differentiate, when cultured in bioreactors. The flow of culture media through the scaffolds generates stresses that are important for both cell differentiation and cell growth. A recent study [Appl. Phys. Lett. 97 (2010), 024101] showed that flow-induced stresses inside highly porous and randomly structured scaffolds follow a three-point gamma probability density function (p.d.f.). The goal of the present study is to further investigate whether the same p.d.f. can also describe the distribution of stresses in structured porous scaffolds, what is the range of scaffold porosity for which the distribution is valid, and what is the physical reason for such behavior. To do that, the p.d.f. of flow-induced stresses in different scaffold geometries were calculated via flow dynamics simulations. It was found that the direction of flow relative to the internal architecture of the scaffolds is important for stress distributions. The stress distributions follow a common distribution within statistically acceptable accuracy, when the flow direction does not coincide with the direction of internal structural elements of the scaffold.