Bioinspired rational design of bi-material 3D printed soft-hard interfaces.

Durable interfacing of hard and soft materials is a major design challenge caused by the ensuing stress concentrations. In nature, soft-hard interfaces exhibit remarkable mechanical performance, with failures rarely happening at the interface. Here, we mimic the strategies observed in nature to design efficient soft-hard interfaces. We base our geometrical designs on triply periodic minimal surfaces (i.e., Octo, Diamond, and Gyroid), collagen-like triple helices, and randomly distributed particles. A combination of computational simulations and experimental techniques, including uniaxial tensile and quad-lap shear tests, are used to characterize the mechanical performance of the interfaces. Our analyses suggest that smooth interdigitated connections, compliant gradient transitions, and either decreasing or constraining strain concentrations lead to simultaneously strong and tough interfaces. We generate additional interfaces where the abovementioned toughening mechanisms work synergistically to create soft-hard interfaces with strengths approaching the upper achievable limit and enhancing toughness values by 50%, as compared to the control group.

Multi-scale in silico and ex silico mechanics of 3D printed cochlear implants for local drug delivery.

The currently available treatments for inner ear disorders often involve systemic drug administration, leading to suboptimal drug concentrations and side effects. Cochlear implants offer a potential solution by providing localized and sustained drug delivery to the cochlea. While the mechanical characterization of both the implants and their constituent material is crucial to ensure functional performance and structural integrity during implantation, this aspect has been mostly overlooked. This study proposes a novel methodology for the mechanical characterization of our recently developed cochlear implant design, namely, rectangular and cylindrical, fabricated using two-photon polymerization (2 PP) with a novel photosensitive resin (IP-Q™). We used in silico computational models and ex silico experiments to study the mechanics of our newly designed implants when subjected to torsion mimicking the foreseeable implantation procedure. Torsion testing on the actual-sized implants was not feasible due to their small size (0.6 × 0.6 × 2.4 mm³). Therefore, scaled-up rectangular cochlear implants (5 × 5 × 20 mm³, 10 × 10 × 40 mm³, and 20 × 20 × 80 mm³) were fabricated using stereolithography and subjected to torsion testing. Finite element analysis (FEA) accurately represented the linear behavior observed in the torsion experiments. We then used the validated Finite element analysis models to study the mechanical behavior of real-sized implants fabricated from the IP-Q resin. Mechanical characterization of both implant designs, with different inner porous structures (pore size: 20 µm and 60 µm) and a hollow version, revealed that the cylindrical implants exhibited approximately three times higher stiffness and mechanical strength as compared to the rectangular ones. The influence of the pore sizes on the mechanical behavior of these implant designs was found to be small. Based on these findings, the cylindrical design, regardless of the pore size, is recommended for further research and development efforts.

3D printed submicron patterns orchestrate the response of macrophages.

The surface topography of engineered extracellular matrices is one of the most important physical cues regulating the phenotypic polarization of macrophages. However, not much is known about the ways through which submicron (i.e., 100-1000 nm) topographies modulate the polarization of macrophages. In the context of bone tissue regeneration, it is well established that this range of topographies stimulates the osteogenic differentiation of stem cells. Since the immune response affects the bone tissue regeneration process, the immunomodulatory consequences of submicron patterns should be studied prior to their clinical application. Here, we 3D printed submicron pillars (using two-photon polymerization technique) with different heights and interspacings to perform the first ever systematic study of such effects. Among the studied patterns, the highest degree of elongation was observed for the cells cultured on those with the tallest and densest pillars. After 3 days of culture with inflammatory stimuli (LPS/IFN-γ), sparsely decorated surfaces inhibited the expression of the pro-inflammatory cellular marker CCR7 as compared to day 1 and to the other patterns. Furthermore, sufficiently tall pillars polarized the M1 macrophages towards a pro-healing (M2) phenotype, as suggested by the expression of CD206 within the first 3 days. As some of the studied patterns are known to be osteogenic, the osteoimmunomodulatory capacity of the patterns should be further studied to optimize their bone tissue regeneration performance.

Association of CD133 polymorphisms and response to bevacizumab in patients with metastatic colorectal cancer.

BACKGROUND: Bevacizumab, an angiogenesis inhibitor is used in regimens for metastatic colorectal cancer (CRC). A minority of cancer cells with characteristics of cancer stem cells (CSC) may be responsible for progression and development of chemotherapy resistance in this disease. CD133 is a well-known CSC marker and is associated with angiogenesis, poor prognosis and resistance to chemotherapy. OBJECTIVE: The purpose of our study was to evaluate the association between the rs3130 and rs2286455 polymorphisms of the CD133 gene and the response, toxicity, and overall survival of patients with CRC on bevacizumab-based treatment. METHODS: Forty-three patients receiving bevacizumab, irinotecan and capecitabine and 15 patients receiving bevacizumab, irinotecan and 5-FU were included. Efficacy and toxicity were evaluated. KRAS mutation analysis and rs3130 and rs2286455 polymorphisms genotyping in the tumors and peripheral blood respectively were performed with PCR-RFLP. RESULTS: No association between KRAS mutated alleles and response was found. The rs3130 CC genotype was associated with reduced toxicity of treatments (p= 0.0017), and with lower overall survival on bevacizumab (p= 0.002). CONCLUSIONS: The CC genotype of rs3130 polymorphism in the CD133 gene can predict poorer overall survival in patients with metastatic CRC on bevacizumab which cannot be attributed to increased treatment toxicity.