Static Topographical Cue Combined with Dynamic Fluid Stimulation Enhances the Macrophage Extracellular Vesicle Yield and Therapeutic Potential for Bone Defects

ACS Nano, Год журнала: 2025, Номер unknown

Опубликована: Фев. 25, 2025

Extracellular vesicles (EVs) hold promise for tissue regeneration, but their low yield and limited therapeutic efficacy hinder clinical translation. Bioreactors provide a larger culture surface area stable environment large-scale EV production, yet ability to enhance is limited. Physical stimulation, by inducing cell differentiation modulating cargo composition, offers more efficient, cost-effective, reproducible approach compared the loading of EVs biochemical priming parental cells. Herein, effects 3D-printed perfusion bioreactor with topographical cue on macrophage bioactivity were assessed. The results indicate that increased 12.5-fold enhanced in promoting osteogenic angiogenesis via upregulated miR-210-3p. Mechanistically, fluid shear stress activates Piezo1, triggering Ca2+ influx Yes-associated protein (YAP) nuclear translocation, secretion enhancing M2 polarization conjunction morphological changes guided aligned topography. Moreover, porous electrospun membrane-hydrogel composite scaffold loaded bioreactor-derived exhibited outstanding rat cranial defect model. This study presents scalable, platform production EVs, potentially overcoming key challenges translating EV-based therapies clinic.

Язык: Английский

Artificial intelligence‐assisted design, synthesis and analysis of smart biomaterials

BMEMat, Год журнала: 2025, Номер unknown

Опубликована: Март 25, 2025

Abstract Smart biomaterials that can self‐adapt or respond to microenvironmental factors external signals hold excellent potential for a variety of biomedical applications, from biosensing, drug delivery, and cell therapy tissue engineering. The complexity smart biomaterials, including the rational design their structure composition, accurate analysis prediction properties, automatic scale‐up synthesis remains critical challenge but be addressed by recent rise artificial intelligence (AI). To bridge literature gap, current mini‐review will introduce background why marrying AI with is essential how biomaterial scientists integrate machine learning (ML) discovery, design, analysis, biomaterials. For this purpose, basic principles ML first introduced so use as tool research. Next, representative examples using high throughput screen establish big data structure‐function relationship responding both chemical, biological, physical signals. Most importantly, applications AI‐designed AI‐discovered overviewed, focus on field Lastly, new directions, such robot‐chemists‐assisted fabrication highlighted. Taken together, engaging most updates in material science, we expect observe continuous growth science benefit clinical translation treating diseases.

Язык: Английский

Bioceramic surface topography regulating immune osteogenesis

BME Frontiers, Год журнала: 2024, Номер 6

Опубликована: Дек. 27, 2024

Objective: This study aims to clarify the effects of bioceramic interface cues on macrophages. Impact Statement: Recently, there have been many researches exploring topography macrophage polarization and cytokine secretion. However, underlying mechanisms macrophages still need exploring. provides insights into micro-groove surface structures Introduction: With development bone tissue engineering methods, bioceramics used for repair. After implantation bioceramics, innate immune response that occurs at materials can deeply influence subsequent inflammation regeneration progress. Therefore, exploration regulation will be beneficial promote effects. Methods: In this study, with are fabricated by digital light processing 3-dimensional printing technology. Then, different spacings (0, 25, 50, 75 μm) prepared separately explore Results: The large spacing structure M2 osteoinductive secretion macrophage. reason is induce directional arrangement so as change phenotype Further show osteogenic differentiation mesenchymal stem cells, which benefit osteogenesis osteointegration. Conclusion: offers an effective application potential method

Язык: Английский