Harnessing μ-X-Ray Fluorescence Spectroscopy as a Tool to Assess Extracellular Vesicle-Induced Biomineralization

IF 4.4 Q2 ENGINEERING, BIOMEDICAL
Mathieu Y. Brunet, Adam McGuinness, Kenny Man, Marie-Christine Jones, Sophie C. Cox
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引用次数: 0

Abstract

Bone cell-derived extracellular vesicles (EVs) have been increasingly investigated as novel acellular strategies for bone regeneration due to their pro-regenerative potency. The evaluation of such bone repair enhancement strategies commonly lies in the assessment of cell-mediated mineral deposition, associated with destructive and nonhigh-throughput methods. Herein, a robust methodology is presented to assess the osteogenic potential of an EV therapy using μ-X-ray fluorescence spectroscopy (μ-XRF). Mineralizing osteoblast-derived EVs (MO-EVs) are isolated from conditioned media via ultracentrifugation and comprehensively characterized. Their pro-osteogenic potency is validated via alkaline phosphatase activity, alizarin red, and picrosirius red staining for the evaluation of calcium and matrix deposition, respectively. μ-XRF is first employed to quantify calcium and phosphorous levels as markers of minerals generating 2D elemental maps of the cultures. The in-depth downstream analysis of the elemental maps reveals that MO-EVs modulate mineralization in a time- and concentration-dependent manner as MO-EV concentration from 5 μg mL−1 significantly increases mineral coverage and increases calcium/phosphate levels in mineralized phases. Together, these results demonstrate the potential of μ-XRF, allowing the examination of elemental levels, mineral coverage, and chemical phases in a single process and thus, offering a new platform for the therapeutic screening of osteogenic technologies with a resolution accommodating biological workflows.

Abstract Image

利用μ- x射线荧光光谱作为评估细胞外囊泡诱导生物矿化的工具
骨细胞来源的细胞外囊泡(EVs)由于其促进骨再生的能力,作为骨再生的新型脱细胞策略已经得到越来越多的研究。这种骨修复增强策略的评估通常在于评估细胞介导的矿物质沉积,与破坏性和非高通量方法相关。本文提出了一种稳健的方法,利用μ- x射线荧光光谱(μ-XRF)来评估EV治疗的成骨潜力。矿化成骨细胞来源的ev (mo - ev)通过超离心从条件培养基中分离并全面表征。通过碱性磷酸酶活性、茜素红和小天狼星红染色分别评估钙和基质沉积,证实了它们的促骨能力。μ-XRF首先用于定量钙和磷水平,作为矿物质的标记,生成培养物的二维元素图。元素图的深度下游分析表明,MO-EV对矿化具有时间和浓度依赖性,当MO-EV浓度为5 μg mL−1时,会显著增加矿化相中的矿物覆盖度和钙/磷酸盐水平。总之,这些结果证明了μ-XRF的潜力,允许在单一过程中检查元素水平,矿物质覆盖率和化学相,从而为成骨技术的治疗性筛选提供了一个新的平台,具有适应生物工作流程的分辨率。
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来源期刊
Advanced Nanobiomed Research
Advanced Nanobiomed Research nanomedicine, bioengineering and biomaterials-
CiteScore
5.00
自引率
5.90%
发文量
87
审稿时长
21 weeks
期刊介绍: Advanced NanoBiomed Research will provide an Open Access home for cutting-edge nanomedicine, bioengineering and biomaterials research aimed at improving human health. The journal will capture a broad spectrum of research from increasingly multi- and interdisciplinary fields of the traditional areas of biomedicine, bioengineering and health-related materials science as well as precision and personalized medicine, drug delivery, and artificial intelligence-driven health science. The scope of Advanced NanoBiomed Research will cover the following key subject areas: ▪ Nanomedicine and nanotechnology, with applications in drug and gene delivery, diagnostics, theranostics, photothermal and photodynamic therapy and multimodal imaging. ▪ Biomaterials, including hydrogels, 2D materials, biopolymers, composites, biodegradable materials, biohybrids and biomimetics (such as artificial cells, exosomes and extracellular vesicles), as well as all organic and inorganic materials for biomedical applications. ▪ Biointerfaces, such as anti-microbial surfaces and coatings, as well as interfaces for cellular engineering, immunoengineering and 3D cell culture. ▪ Biofabrication including (bio)inks and technologies, towards generation of functional tissues and organs. ▪ Tissue engineering and regenerative medicine, including scaffolds and scaffold-free approaches, for bone, ligament, muscle, skin, neural, cardiac tissue engineering and tissue vascularization. ▪ Devices for healthcare applications, disease modelling and treatment, such as diagnostics, lab-on-a-chip, organs-on-a-chip, bioMEMS, bioelectronics, wearables, actuators, soft robotics, and intelligent drug delivery systems. with a strong focus on applications of these fields, from bench-to-bedside, for treatment of all diseases and disorders, such as infectious, autoimmune, cardiovascular and metabolic diseases, neurological disorders and cancer; including pharmacology and toxicology studies.
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