J. Hilderink
University of Twente
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Publication
Featured researches published by J. Hilderink.
PLOS ONE | 2013
Elahe Masaeli; Mohammad Morshed; M. Hossein Nasr-Esfahani; Saeid Sadri; J. Hilderink; A.A. van Apeldoorn; C.A. van Blitterswijk; Lorenzo Moroni
Tissue engineering techniques using a combination of polymeric scaffolds and cells represent a promising approach for nerve regeneration. We fabricated electrospun scaffolds by blending of Poly (3-hydroxybutyrate) (PHB) and Poly (3-hydroxy butyrate-co-3- hydroxyvalerate) (PHBV) in different compositions in order to investigate their potential for the regeneration of the myelinic membrane. The thermal properties of the nanofibrous blends was analyzed by differential scanning calorimetry (DSC), which indicated that the melting and glass temperatures, and crystallization degree of the blends decreased as the PHBV weight ratio increased. Raman spectroscopy also revealed that the full width at half height of the band centered at 1725 cm−1 can be used to estimate the crystalline degree of the electrospun meshes. Random and aligned nanofibrous scaffolds were also fabricated by electrospinning of PHB and PHBV with or without type I collagen. The influence of blend composition, fiber alignment and collagen incorporation on Schwann cell (SCs) organization and function was investigated. SCs attached and proliferated over all scaffolds formulations up to 14 days. SCs grown on aligned PHB/PHBV/collagen fibers exhibited a bipolar morphology that oriented along the fiber direction, while SCs grown on the randomly oriented fibers had a multipolar morphology. Incorporation of collagen within nanofibers increased SCs proliferation on day 14, GDNF gene expression on day 7 and NGF secretion on day 6. The results of this study demonstrate that aligned PHB/PHBV electrospun nanofibers could find potential use as scaffolds for nerve tissue engineering applications and that the presence of type I collagen in the nanofibers improves cell differentiation.
Journal of Biomedical Optics | 2012
Aliz Kunstar; Jeroen Leijten; Stefan van Leuveren; J. Hilderink; Cornelis Otto; Clemens van Blitterswijk; Marcel Karperien; Aart A. van Apeldoorn
Abstract. Traditionally, the composition of bone and cartilage is determined by standard histological methods. We used Raman microscopy, which provides a molecular “fingerprint” of the investigated sample, to detect differences between the zones in human fetal femur cartilage without the need for additional staining or labeling. Raman area scans were made from the (pre)articular cartilage, resting, proliferative, and hypertrophic zones of growth plate and endochondral bone within human fetal femora. Multivariate data analysis was performed on Raman spectral datasets to construct cluster images with corresponding cluster averages. Cluster analysis resulted in detection of individual chondrocyte spectra that could be separated from cartilage extracellular matrix (ECM) spectra and was verified by comparing cluster images with intensity-based Raman images for the deoxyribonucleic acid/ribonucleic acid (DNA/RNA) band. Specific dendrograms were created using Ward’s clustering method, and principal component analysis (PCA) was performed with the separated and averaged Raman spectra of cells and ECM of all measured zones. Overall (dis)similarities between measured zones were effectively visualized on the dendrograms and main spectral differences were revealed by PCA allowing for label-free detection of individual cartilaginous zones and for label-free evaluation of proper cartilaginous matrix formation for future tissue engineering and clinical purposes.
Journal of Tissue Engineering and Regenerative Medicine | 2015
Jun Liu; J. Hilderink; Tom A. M. Groothuis; Cees Otto; Clemens van Blitterswijk; Jan de Boer
Limited nutrient diffusion in three‐dimensional (3D) constructs is a major concern in tissue engineering. Therefore, monitoring nutrient availability and diffusion within a scaffold is an important asset. Since nutrients come in various forms, we have investigated the diffusion of the oxygen, luciferin and dextran molecules within tissue‐engineered constructs using optical imaging technologies. First, oxygen availability and diffusion were investigated, using transgenic cell lines in which a hypoxia‐responsive element drives expression of the green fluorescent protein gene. Using confocal imaging, we observed oxygen limitation, starting at around 200 µm from the periphery in the context of agarose gel with 1 million CHO cells. Diffusion of luciferin was monitored real‐time in agarose gels using a cell line in which the luciferase gene was driven by a constitutively active CMV promoter. Gel concentration affected the diffusion rate of luciferin. Furthermore, we assessed the diffusion rates of fluorescent dextran molecules of different molecular weights in biomaterials by fluorescence recovery after photobleaching (FRAP) and observed that diffusion depended on both molecular size and gel concentration. In conclusion, we have validated a set of efficient tools to investigate molecular diffusion of a range of molecules and to optimize biomaterials design in order to improve nutrient delivery. Copyright
Journal of Cellular and Molecular Medicine | 2015
J. Hilderink; Siebe Spijker; Françoise Carlotti; Lydia Lange; Marten A. Engelse; Clemens van Blitterswijk; Eelco J.P. de Koning; Marcel Karperien; Aart A. van Apeldoorn
Clinical islet transplantation is a promising treatment for patients with type 1 diabetes. However, pancreatic islets vary in size and shape affecting their survival and function after transplantation because of mass transport limitations. To reduce diffusion restrictions and improve islet cell survival, the generation of islets with optimal dimensions by dispersion followed by reassembly of islet cells, can help limit the length of diffusion pathways. This study describes a microwell platform that supports the controlled and reproducible production of three‐dimensional pancreatic cell clusters of human donor islets. We observed that primary human islet cell aggregates with a diameter of 100–150 μm consisting of about 1000 cells best resembled intact pancreatic islets as they showed low apoptotic cell death (<2%), comparable glucose‐responsiveness and increasing PDX1, MAFA and INSULIN gene expression with increasing aggregate size. The re‐associated human islet cells showed an a‐typical core shell configuration with beta cells predominantly on the outside unlike human islets, which became more randomized after implantation similar to native human islets. After transplantation of these islet cell aggregates under the kidney capsule of immunodeficient mice, human C‐peptide was detected in the serum indicating that beta cells retained their endocrine function similar to human islets. The agarose microwell platform was shown to be an easy and very reproducible method to aggregate pancreatic islet cells with high accuracy providing a reliable tool to study cell–cell interactions between insuloma and/or primary islet cells.
PLOS ONE | 2013
J. Hilderink; Cees Otto; Cees Slump; Aufried Lenferink; Marten A. Engelse; Clemens van Blitterswijk; Eelco J.P. de Koning; Marcel Karperien; Aart A. van Apeldoorn
Intrahepatic transplantation of donor islets of Langerhans is a promising therapy for patients with type 1 diabetes. It is of critical importance to accurately monitor islet quality before transplantation, which is currently done by standard histological methods that are performed off-line and require extensive sample preparation. As an alternative, we propose Raman spectroscopy which is a non-destructive and label-free technique that allows continuous real-time monitoring of the tissue to study biological changes as they occur. By performing Raman spectroscopic measurements on purified insulin and glucagon, we showed that the 520 cm-1 band assigned to disulfide bridges in insulin, and the 1552 cm-1 band assigned to tryptophan in glucagon are mutually exclusive and could therefore be used as indirect markers for the label-free distinction between both hormones. High-resolution hyperspectral Raman imaging for these bands showed the distribution of disulfide bridges and tryptophan at sub-micrometer scale, which correlated with the location of insulin and glucagon as revealed by conventional immunohistochemistry. As a measure for this correlation, quantitative analysis was performed comparing the Raman images with the fluorescence images, resulting in Dice coefficients (ranging between 0 and 1) of 0.36 for insulin and 0.19 for glucagon. Although the use of separate microscope systems with different spatial resolution and the use of indirect Raman markers cause some image mismatch, our findings indicate that Raman bands for disulfide bridges and tryptophan can be used as distinctive markers for the label-free detection of insulin and glucagon in human islets of Langerhans.
Tissue Engineering Part A | 2013
J. Doorn; S.J. Roberts; J. Hilderink; Nathalie Groen; A.A. van Apeldoorn; C.A. van Blitterswijk; Jan Schrooten; J. de Boer
Biomaterials | 2017
M. Buitinga; Frank Assen; Maaike Hanegraaf; Paul Wieringa; J. Hilderink; Lorenzo Moroni; Roman Truckenmüller; Clemens van Blitterswijk; G.R.B.E. Römer; Françoise Carlotti; Eelco J.P. de Koning; Marcel Karperien; Aart A. van Apeldoorn
PLOS ONE | 2013
Elahe Masaeli; Mohammad Morshed; Mohammad Hossein Nasr-Esfahani; Saeid Sadri; J. Hilderink; Aart A. van Apeldoorn; Clemens van Blitterswijk; Lorenzo Moroni
Archive | 2011
J. Doorn; J. Hilderink; S.J. Roberts; Jan Schrooten; Clemens van Blitterswijk; Jan de Boer
Histology and Histopathology | 2011
J. Hilderink; E.J.P. de Koning; M.A. Engelse; Cees Otto; C.A. van Blitterswijk; A.A. van Apeldoorn; Marcel Karperien