Ma Baikai, Li Hongshuo, Wang Yi, Li Wenlong, Mou Lei, Liu Yilin, Liu Rongjun, Zheng Yalin, Liu Xinyu, Zhao Yitian, Qi Hong
Department of Ophthalmology, Peking University Third Hospital; Beijing Key Laboratory of Restoration of Damaged Ocular Nerve, Beijing, China.
Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China.
Transl Vis Sci Technol. 2025 Jul 1;14(7):16. doi: 10.1167/tvst.14.7.16.
Corneal nerve morphology and immune cells are critical biomarkers in the ocular surface. This study aimed to investigate the influence of immune cells on corneal nerve morphology and the clinical significance in diabetes-related dry eye disease (DED).
In the first part, 1075 in vivo confocal microscopy images containing dendritic cells or round cells were included as system validation. Key morphological parameters, including corneal nerve fiber density (CNFD), corneal nerve branch density (CNBD), tortuosity, and box-count fractal dimension (Boxdim), were measured before and after immune cells were excluded. In the second part, a pilot cross-sectional study was conducted involving control (26 eyes), DED without diabetes mellitus (DM) (34 eyes), and DED with DM (17 eyes) groups. The impact of immune cell exclusion on nerve metrics was assessed and correlated with clinical parameters, such as the fluorescein tear breakup time (TBUT), Ocular Surface Disease Index (OSDI), and corneal fluorescein staining (CFS) scores.
Exclusion of immune cells resulted in significant reductions in CNFD, CNBD, Boxdim, and tortuosity. Compared to the control group, both DED without DM and DED with DM groups showed substantial reductions in CNFD, CNBD, and Boxdim, along with a significant increase in tortuosity. Moreover, the exclusion of immune cells enhanced the correlations between nerve metrics and fluorescein TBUT.
Immune cells contribute to significant biases in the assessments of corneal nerve morphology, primarily false-negative results, in diabetes-related DED. Their exclusion improves the accuracy of nerve measurements, which may enhance the clinical evaluation of corneal nerve morphology.
Advanced segmentation techniques addressing immune cell interference could improve diagnostic precision and inform treatment strategies for DED subtypes.
角膜神经形态和免疫细胞是眼表的关键生物标志物。本研究旨在探讨免疫细胞对角膜神经形态的影响以及在糖尿病相关性干眼疾病(DED)中的临床意义。
在第一部分,纳入1075张包含树突状细胞或圆形细胞的体内共聚焦显微镜图像作为系统验证。在排除免疫细胞之前和之后,测量关键形态学参数,包括角膜神经纤维密度(CNFD)、角膜神经分支密度(CNBD)、曲折度和盒计数分形维数(Boxdim)。在第二部分,进行了一项前瞻性横断面研究,涉及对照组(26只眼)、非糖尿病性干眼(DED)组(34只眼)和糖尿病相关性干眼(DED)组(17只眼)。评估了排除免疫细胞对神经指标的影响,并将其与临床参数相关联,如荧光素泪膜破裂时间(TBUT)、眼表疾病指数(OSDI)和角膜荧光素染色(CFS)评分。
排除免疫细胞导致CNFD、CNBD、Boxdim和曲折度显著降低。与对照组相比,非糖尿病性干眼组和糖尿病相关性干眼组的CNFD、CNBD和Boxdim均显著降低,同时曲折度显著增加。此外,排除免疫细胞增强了神经指标与荧光素TBUT之间的相关性。
在糖尿病相关性干眼疾病中,免疫细胞会导致角膜神经形态评估出现显著偏差,主要是假阴性结果。排除免疫细胞可提高神经测量的准确性,这可能会增强角膜神经形态的临床评估。
解决免疫细胞干扰的先进分割技术可以提高诊断精度,并为DED亚型的治疗策略提供依据。