Wang Nannan, Zhang Rongli, Zhao Anni, Yu Jia, Gao Yufeng, Sun Xuheng, Chen Wanwen, Xiao Na, Xiang Feng, Zheng Wei, Lin Zhanyi, Li Hui
Research Center for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People's Republic of China.
Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, State Key Laboratory of Biomedical Imaging Science and System, Shenzhen 518055, People's Republic of China.
R Soc Open Sci. 2025 Sep 3;12(9):251339. doi: 10.1098/rsos.251339. eCollection 2025 Sep.
Hypertension is the primary cause of cardiovascular diseases, and its worldwide prevalence has continued to increase recently. Aortic fibre remodelling is critical in the development of hypertension and is strikingly age-related. However, the underlying microlevel variations remain unknown. This study quantitatively evaluated the hypertension-induced microstructural remodelling of aortic fibres from a cross-age perspective by combining label-free multiphoton microscopy (MPM) imaging with a three-dimensional (3D) grey-level co-occurrence matrix (GLCM) algorithm. First, MPM imaging of aortic collagen and elastin fibres was performed on spontaneously hypertensive rats and Wistar-Kyoto controls across three critical age stages (prehypertension, developing hypertension and stable hypertension) and two aortic segments (abdominal aorta and thoracic aorta). Subsequently, the 3D GLCM texture features that were significantly correlated with hypertension or age-related hypertension were identified. By deciphering these features, we revealed quantitative details of hypertension-induced aortic remodelling, hypertension-accelerated aortic ageing and the heterogeneous response of different aortic segments to hypertension from the perspective of the fibre microstructure. The proposed method and derived findings may shed new light on the mechanism of age-related hypertension and contribute significantly to the research on cardiovascular diseases.
高血压是心血管疾病的主要病因,近年来其在全球范围内的患病率持续上升。主动脉纤维重塑在高血压的发展过程中至关重要,且与年龄显著相关。然而,其潜在的微观层面变化仍不清楚。本研究通过将无标记多光子显微镜(MPM)成像与三维(3D)灰度共生矩阵(GLCM)算法相结合,从跨年龄角度定量评估了高血压引起的主动脉纤维微观结构重塑。首先,对三个关键年龄阶段(高血压前期、高血压发展期和高血压稳定期)的自发性高血压大鼠和Wistar-Kyoto对照大鼠的主动脉胶原纤维和弹性纤维进行了MPM成像,并对两个主动脉段(腹主动脉和胸主动脉)进行了成像。随后,确定了与高血压或年龄相关高血压显著相关的3D GLCM纹理特征。通过解读这些特征,我们从纤维微观结构的角度揭示了高血压引起的主动脉重塑、高血压加速的主动脉老化以及不同主动脉段对高血压的异质性反应的定量细节。所提出的方法和得出的研究结果可能为年龄相关性高血压的机制提供新的见解,并为心血管疾病的研究做出重大贡献。