Tissue engineering combines the principles of cell biology, engineering and materials science to develop three-dimensional tissues to replace or restore tissue function. Tissue engineered skin (TE-skin) is one of most advanced tissue constructs. However, much clinical providence demonstrates the TE-skin may not be viewed as the equal of skin grafts, the contributions to accelerate the closure of wound were come mainly from various growth factor. These growth factors respond to its environment to bring about the desired effect. In our hypothesis, this three-dimensional skin substitute could be genetically modified with various growth factor and transplanted in order to deliver therapeutic proteins locally and systemically for the treatment of trauma. The likelihood of transgened TE-skin plays function as a pharmacological agent suggests a wide range of therapeutic applications. In future, the TE-skin could be design as gene delivery to enhance potential capacity for treatment of burns, chronic wounds and even systemic diseases.
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http://dx.doi.org/10.1016/j.mehy.2009.06.026 | DOI Listing |
Invest Ophthalmol Vis Sci
January 2025
Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan.
Purpose: To investigate the effect of Rho-associated protein kinase (ROCK) inhibitor Y27632 on bioenergetic capacity and resilience of corneal endothelial cells (CECs) under metabolic stress.
Methods: Bovine CECs (BCECs) were treated with Y27632 and subjected to bioenergetic profiling using the Seahorse XFp Analyzer. The effects on adenosine triphosphate (ATP) production through oxidative phosphorylation and glycolysis were measured.
Ann Surg Oncol
January 2025
Department of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Background: Three dimensional (3D) cell cultures can be effectively used for drug discovery and development but there are still challenges in their general application to high-throughput screening. In this study, we developed a novel high-throughput chemotherapeutic 3D drug screening system for gastric cancer, named 'Cure-GA', to discover clinically applicable anticancer drugs and predict therapeutic responses.
Methods: Primary cancer cells were isolated from 143 fresh surgical specimens by enzymatic treatment.
Endocr Pathol
January 2025
Department of Computer Engineering, Koc University, Istanbul, Turkey.
Pancreatic neuroendocrine tumors (PanNETs) are a heterogeneous group of neoplasms that include tumors with different histomorphologic characteristics that can be correlated to sub-categories with different prognoses. In addition to the WHO grading scheme based on tumor proliferative activity, a new parameter based on the scoring of infiltration patterns at the interface of tumor and non-neoplastic parenchyma (tumor-NNP interface) has recently been proposed for PanNET categorization. Despite the known correlations, these categorizations can still be problematic due to the need for human judgment, which may involve intra- and inter-observer variability.
View Article and Find Full Text PDFDokl Biol Sci
January 2025
Research Center of Neurology, Moscow, Russia.
Characteristic patterns of UV-induced skin autofluorescence were determined for patients with Parkinson's disease (PD) and associated with dysmetabolic alterations, such as nonenzymatic protein glycation, an increase in extracellular matrix stiffness, impaired metabolism of tissue fluorophores, mitochondrial dysfunction, and accumulation of aberrant proteins. Key differences in skin autofluorescence spectra were for the first time observed in PD, making it possible to discriminate between PD patients and healthy persons or individuals without signs of chronic neurodegeneration. Namely, skin fluorescence related to the reflected signal upon excitation with UV light at 375 nm was lower in PD patients.
View Article and Find Full Text PDFInt J Implant Dent
January 2025
Center of Oral Implantology, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China.
Purpose: This systematic review aims to assess the performance, methodological quality and reporting transparency in prediction models for the dental implant's complications and survival rates.
Methods: A literature search was conducted in PubMed, Web of Science, and Embase databases. Peer-reviewed studies that developed prediction models for dental implant's complications and survival rate were included.
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