Suppr超能文献

用于定量分析天然和工程软骨中深度依赖性及局部异质性的拉曼光谱成像

Raman spectroscopic imaging for quantification of depth-dependent and local heterogeneities in native and engineered cartilage.

作者信息

Albro M B, Bergholt M S, St-Pierre J P, Vinals Guitart A, Zlotnick H M, Evita E G, Stevens M M

机构信息

1Department of Materials, Imperial College London, London, SW7 2AZ United Kingdom.

2Department of Bioengineering, Imperial College London, London, SW7 2AZ United Kingdom.

出版信息

NPJ Regen Med. 2018 Feb 9;3:3. doi: 10.1038/s41536-018-0042-7. eCollection 2018.

Abstract

Articular cartilage possesses a remarkable, mechanically-robust extracellular matrix (ECM) that is organized and distributed throughout the tissue to resist physiologic strains and provide low friction during articulation. The ability to characterize the make-up and distribution of the cartilage ECM is critical to both understand the process by which articular cartilage undergoes disease-related degeneration and to develop novel tissue repair strategies to restore tissue functionality. However, the ability to quantitatively measure the spatial distribution of cartilage ECM constituents throughout the tissue has remained a major challenge. In this experimental investigation, we assessed the analytical ability of Raman micro-spectroscopic imaging to semi-quantitatively measure the distribution of the major ECM constituents in cartilage tissues. Raman spectroscopic images were acquired of two distinct cartilage tissue types that possess large spatial ECM gradients throughout their depth: native articular cartilage explants and large engineered cartilage tissue constructs. Spectral acquisitions were processed via multivariate curve resolution to decompose the "fingerprint" range spectra (800-1800 cm) to the component spectra of GAG, collagen, and water, giving rise to the depth dependent concentration profile of each constituent throughout the tissues. These Raman spectroscopic acquired-profiles exhibited strong agreement with profiles independently acquired via direct biochemical assaying of spatial tissue sections. Further, we harness this spectroscopic technique to evaluate local heterogeneities through the depth of cartilage. This work represents a powerful analytical validation of the accuracy of Raman spectroscopic imaging measurements of the spatial distribution of biochemical components in a biological tissue and shows that it can be used as a valuable tool for quantitatively measuring the distribution and organization of ECM constituents in native and engineered cartilage tissue specimens.

摘要

关节软骨拥有一种非凡的、机械性能强大的细胞外基质(ECM),这种基质在整个组织中有序排列并分布,以抵抗生理应变,并在关节活动时提供低摩擦。表征软骨ECM的组成和分布的能力对于理解关节软骨发生疾病相关退变的过程以及开发恢复组织功能的新型组织修复策略都至关重要。然而,定量测量软骨ECM成分在整个组织中的空间分布的能力仍然是一个重大挑战。在本实验研究中,我们评估了拉曼显微光谱成像半定量测量软骨组织中主要ECM成分分布的分析能力。获取了两种不同软骨组织类型的拉曼光谱图像,这两种组织在其深度上具有较大的空间ECM梯度:天然关节软骨外植体和大型工程化软骨组织构建体。通过多元曲线分辨对光谱采集数据进行处理,以将“指纹”范围光谱(800 - 1800 cm)分解为糖胺聚糖(GAG)、胶原蛋白和水的成分光谱,从而得出每种成分在整个组织中的深度依赖性浓度分布。这些通过拉曼光谱获取的分布与通过对空间组织切片进行直接生化分析独立获取的分布表现出高度一致性。此外,我们利用这种光谱技术评估软骨深度方向上的局部异质性。这项工作代表了对生物组织中生化成分空间分布的拉曼光谱成像测量准确性的有力分析验证,并表明它可作为一种有价值的工具,用于定量测量天然和工程化软骨组织标本中ECM成分的分布和组织情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43e6/5807411/254a228dc0c3/41536_2018_42_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验