3D printed titanium scaffold has promising applications in orthopedics. However, the bioinert titanium presents challenges for promoting vascularization and tissue growth within the porous scaffold for stable osteointegration. In this study, a modular porous titanium scaffold is created using 3D printing and a gradient-surface strategy to immobilize QK peptide on the surface with a bi-directional gradient distribution. This design featured high peptide density in the interior and low peptide density on both ends, aiming to induce cell migration from ends to interior and subsequently enhance vascularization and osteointegration within the scaffold. In vitro results showed that besides the inherent bioactivity, the gradient distribution of QK positively correlated with endothelial cell migration and promoted angiogenesis. In vivo assay was performed by a segmental bone defect model in rabbit and a spine repair model in sheep. Various staining and Micro-CT results demonstrated that compared to that with uniformly QK-functionalized surface, the scaffold with bi-directional gradient QK-functionalized surface (Ti-G) significantly encouraged new tissue growth toward the interior of the scaffold, subsequently facilitated angiogenesis and osteointegration. This study provides an effective strategy for enhancing the bioactivity of peptide-functionalized scaffolds through the concept of bi-directional gradients, and holds potential for various 3D printed scaffolds.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/adma.202406421 | DOI Listing |
Adv Mater
January 2025
National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, 510006, China.
3D printed titanium scaffold has promising applications in orthopedics. However, the bioinert titanium presents challenges for promoting vascularization and tissue growth within the porous scaffold for stable osteointegration. In this study, a modular porous titanium scaffold is created using 3D printing and a gradient-surface strategy to immobilize QK peptide on the surface with a bi-directional gradient distribution.
View Article and Find Full Text PDFMaterials (Basel)
December 2024
Institute of Applied Mechanics, College of Aeronautics and Astronautics, Taiyuan University of Technology, Taiyuan 030024, China.
Based on the basic theoretical framework of the Bi-directional Evolutionary Structural Optimization method (BESO) and the Solid Isotropic Material with Penalization method (SIMP), this paper presents a multiscale topology optimization method for concurrently optimizing the sandwich structure at the macro level and the core layer at the micro level. The types of optimizations are divided into macro and micro concurrent topology optimization (MM), macro and micro gradient concurrent topology optimization (MMG), and macro and micro layered gradient concurrent topology optimization (MMLG). In order to compare the multiscale optimization method with the traditional macroscopic optimization method, the sandwich simply supported beam is illustrated as a numerical example to demonstrate the functionalities and superiorities of the proposed method.
View Article and Find Full Text PDFPLoS One
November 2024
Faculty of Computers and Information Technology, University of Tabuk, Tabuk City, Kingdom of Saudi Arabia.
This research addresses the imperative need for efficient underwater exploration in the domain of deep-sea resource development, highlighting the importance of autonomous operations to mitigate the challenges posed by high-stress underwater environments. The proposed approach introduces a hybrid model for Underwater Object Detection (UOD), combining Bi-directional Long Short-Term Memory (Bi-LSTM) with a Restricted Boltzmann Machine (RBM). Bi-LSTM excels at capturing long-term dependencies and processing sequences bidirectionally to enhance comprehension of both past and future contexts.
View Article and Find Full Text PDFSci Rep
November 2024
Department of Agricultural Engineering, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia.
Predicting rainfall is a challenging and critical task due to its significant impact on society. Timely and accurate predictions are essential for minimizing human and financial losses. The dependence of approximately 60% of agricultural land in India on monsoon rainfall implies the crucial nature of accurate rainfall prediction.
View Article and Find Full Text PDFLab Chip
December 2024
School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch, New Zealand.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!