摘要
衰老是引起主动脉硬化进而引发各种心血管疾病的主要独立风险因素.对主动脉增龄性改变进行定量评估有望为心血管疾病研究提供重要线索.采用二次谐波成像技术,结合三维灰度共生矩阵纹理分析算法,对不同周龄大鼠主动脉血管壁内外表面的胶原纤维进行了定量评估;提取出多种可量化表征主动脉增龄性改变的特征参数,从胶原纤维微结构角度揭示了主动脉增龄性变化规律.上述方法及提取出的特征参数有望为评估血管老化程度提供有力工具和重要参考指标,并进一步应用于与老化相关的心血管疾病的研究.
Objective Aging is a major independent risk factor for aortic stiffness and cardiovascular diseases.The strength of the aorta is imparted by collagen fibers,which are the dominant fibrins within the aortic wall.Therefore,a three-dimensional(3D)quantitative assessment of age-related changes in the collagen fibers within the aortic wall is expected to provide important clues for research on cardiovascular diseases.Second harmonic generation(SHG)microscopy is an ideal tool for observing collagen fibers in biological tissues.Compared to the traditional histological analysis method,which requires tissue sectioning and staining,SHG microscopy has an intrinsic optical sectioning ability for the 3D imaging of intact tissues and allows label-free and high-specificity imaging of collagen fibers owing to its inversion-asymmetric and spatially ordered structure.Moreover,the high resolution,large depth penetration,low photobleaching and phototoxicity of SHG microscopy have significantly benefited the detailed imaging of thick tissues such as the aortic wall.However,the SHG-based 3D quantitative assessment of aortic collagen fibers has not yet been extensively demonstrated in aging-related research.In this study,we proposed combining SHG imaging with a representative spatial texture analysis algorithm,a 3D gray-level co-occurrence matrix(GLCM),to investigate age-related changes in the aorta from the perspective of collagen fiber microstructures.We hope that the proposed method and our findings can provide novel strategies and potential indicators for aortic aging assessment,and further benefit studies on age-related cardiovascular diseases.Methods Wistar-Kyoto(WKY)rats at 3 weeks(3 w),12 weeks(12 w),and 44 weeks(44 w)were used in this study.First,the abdominal aortas were removed,cleaned,and cut open along the longitudinal axis.Subsequently,en-face 3D SHG imaging of the inner and outer surfaces of the aortic wall was performed using a commercial multiphoton microscope(A1R-MP;Nikon).Then,11 texture feature parameters,including
作者
王楠楠
高玉峰
郑炜
李慧
林展翼
Wang Nannan;Gao Yufeng;Zheng Wei;Li Hui;Lin Zhanyi(School of Medicine,South China University of Technology,Guangzhou 510006,Guangdong,China;Guangdong Provincial People s Hospital(Guangdong Academy of Medical Sciences),Southern Medical University,Guangzhou 510080,Guangdong,China;Research Center for Biomedical Optics and Molecular Imaging,Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518055,Guangdong,China)
出处
《中国激光》
EI
CAS
CSCD
北大核心
2023年第15期14-21,共8页
Chinese Journal of Lasers
基金
国家自然科学基金(92159104,82071972)
深圳市科技计划基础研究项目(RCYX20210609104445093,RCJC20200714114433058,ZDSY20130401165820357)。
关键词
医用光学
二次谐波成像
三维灰度共生矩阵
主动脉
增龄性改变
胶原纤维
medical optics
second harmonic generation microscopy
three-dimensional gray level co-occurrence matrix
aorta
agingrelated changes
collagen fibers
