In cell-based tissue engineering, fibrin hydrogel can be utilized to produce scaffolds to treat cartilage. However, the optimal fibrin formulation for cartilage regeneration has not yet been studied. This study aimed to find the optimal fibrin formulation and determine whether fibrin optimized with human adipose-derived stem cells (hASCs) increased the in-vivo chondrogenic potential. To find the optimal formulation, fibrin constructs were divided into twelve groups with different ratios of fibrinogen (10, 20, 30, and 50 mg/mL) to thrombin (10, 50, and 100 IU/mL), following which the physical and biological properties of cell-free and cell-embedded fibrin were investigated. The results from cell-free hydrogels showed that increases in the concentrations of fibrinogen and thrombin corresponded to increases in stiffness and initial weight. Moreover, hydrogel degradation was inhibited in high-concentration formulations. In cell-embedded fibrin constructs, the variation of gel formulation did not affect cell viability. However, cell behavior depended on the gel formulation. hASCs within high-concentration fibrinogen formulation maintained a round morphology similar to natural chondrocytes. Variations in thrombin concentration had a lesser effect on cell morphology. In terms of in-vivo cartilage formation, the formulation with 30 mg/mL fibrinogen and 100 IU/mL thrombin showed the highest cartilage formation, as evidenced through collagen type II alpha 1 chain (COL2) and safranin-O, 4 weeks after implantation. The results may lead to optimally designed 3D bio-scaffolds in which we can control both cell survival and chondrogenic potential for cartilage tissue engineering. Scaffolds made with the optimal fibrin formulation can be applied to develop cell therapies with mesenchymal stem cells to treat osteoarthritis.
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http://dx.doi.org/10.1016/j.bbrc.2019.11.049 | DOI Listing |
Int J Mol Sci
January 2025
Expert Medical Analysis Group, Institute of Technology, University of Castilla-La Mancha, 16071 Cuenca, Spain.
The COVID-19 pandemic has accelerated advances in molecular biology and virology, enabling the identification of key biomarkers to differentiate between severe and mild cases. Furthermore, the use of artificial intelligence (AI) and machine learning (ML) to analyze large datasets has been crucial for rapidly identifying relevant biomarkers for disease prognosis, including COVID-19. This approach enhances diagnostics in emergency settings, allowing for more accurate and efficient patient management.
View Article and Find Full Text PDFMicromachines (Basel)
December 2024
Department of Mechanical Engineering, Shibaura Institute of Technology, 3-7-5 Toyosu, Koto-ku, Tokyo 135-8548, Japan.
We developed a portable microfluidic system that combines spontaneous lumen formation from human umbilical endothelial cells (HUVECs) in fibrin-collagen hydrogels with active perfusion controlled by a braille actuator. Adaptive interstitial flow and feedthrough perfusion switching enabled the successful culture of spontaneously formed naturally branched lumens for more than one month. We obtained many large-area (2 mm × 3 mm) long-term (more than 30 days per run) time-lapse image datasets of the in vitro luminal network using this microfluidic system.
View Article and Find Full Text PDFEur J Trauma Emerg Surg
January 2025
Department of Emergency Medicine, Teikyo University of Medicine, 2- 11-1 Kaga, Itabashi-ku, Tokyo, 173-8606, Japan.
Purpose: D-dimer, a fibrinolysis indicator, may predict functional and life outcomes in traumatic brain injury (TBI) patients. We aimed to identify optimal D-dimer cutoff values for poor functional outcomes in severe TBI.
Methods: We used data from a multi-centre prospective observational cohort study that included patients with TBI with a Glasgow Coma Scale (GCS) score ≤ 8 within 48 h after injury or required neurosurgical procedures.
BMC Cancer
January 2025
Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Background: Pancreatic cancer is one of the most malignant tumors with an inferior prognosis. This study aims to determine the prognostic significance of immune-inflammatory scores and coagulation indices in patients with metastatic pancreatic cancer(MPC) and develop a predictive nomogram.
Methods: This study retrospectively analyzed the clinical data of 384 patients with MPC who underwent intra-arterial infusion chemotherapy (IAIC).
Int Ophthalmol
January 2025
Cleveland Clinic Abu Dhabi, Eye Institute, Abu Dhabi, United Arab Emirates.
Purpose: To describe the safety and assess the feasibility of using intracameral cefuroxime sodium (Aprokam®) during congenital cataract surgery as a preventive measure for endophthalmitis.
Design: Monocentric, prospective, observational pilot study.
Setting: San Giuseppe Hospital, University of Milan, Milan, Italy.
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