Huang Xingxin, Lian Yuan-E, Qiu Lida, Yu XunBin, Miao Jikui, Zhang Shichao, Zhang Zheng, Zhang Xiong, Chen Jianxin, Bai Yannan, Li Lianhuang
Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China.
Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, China.
Lab Invest. 2023 Oct;103(10):100223. doi: 10.1016/j.labinv.2023.100223. Epub 2023 Jul 28.
Nonalcoholic fatty liver disease is rapidly becoming one of the most common causes of chronic liver disease worldwide and is the leading cause of liver-related morbidity and mortality. A quantitative assessment of the degree of steatosis would be more advantageous for diagnostic evaluation and exploring the patterns of disease progression. Here, multiphoton microscopy, based on the second harmonic generation and 2-photon excited fluorescence, was used to label-free image the samples of nonalcoholic fatty liver. Imaging results confirm that multiphoton microscopy is capable of directly visualizing important pathologic features such as normal hepatocytes, hepatic steatosis, Mallory bodies, necrosis, inflammation, collagen deposition, microvessel, and so on and is a reliable auxiliary tool for the diagnosis of nonalcoholic fatty liver disease. Furthermore, we developed an image segmentation algorithm to simultaneously assess hepatic steatosis and fibrotic changes, and quantitative results reveal that there is a correlation between the degree of steatosis and collagen content. We also developed a feature extraction program to precisely display the spatial distribution of hepatocyte steatosis in tissues. These studies may be beneficial for a better clinical understanding of the process of steatosis as well as for exploring possible therapeutic targets.
非酒精性脂肪性肝病正迅速成为全球慢性肝病最常见的病因之一,也是肝脏相关发病和死亡的主要原因。对脂肪变性程度进行定量评估,对于诊断评估和探索疾病进展模式更为有利。在此,基于二次谐波产生和双光子激发荧光的多光子显微镜,被用于对非酒精性脂肪肝样本进行无标记成像。成像结果证实,多光子显微镜能够直接可视化正常肝细胞、肝脂肪变性、马洛里小体、坏死、炎症、胶原沉积、微血管等重要病理特征,是诊断非酒精性脂肪性肝病的可靠辅助工具。此外,我们开发了一种图像分割算法,以同时评估肝脂肪变性和纤维化变化,定量结果显示脂肪变性程度与胶原含量之间存在相关性。我们还开发了一个特征提取程序,以精确显示组织中肝细胞脂肪变性的空间分布。这些研究可能有助于更好地从临床上理解脂肪变性过程,以及探索可能的治疗靶点。