Departments of Pathology and Internal Medicine, Faculty of Medical Sciences, State University of Campinas, Campinas 13083-887, Brazil.
National Institute of Science and Technology on Photonics Applied to Cell Biology (INFABIC), State University of Campinas, Campinas 13083-970, Brazil.
Int J Mol Sci. 2024 Nov 15;25(22):12290. doi: 10.3390/ijms252212290.
In recent studies, it has been shown that fluorescence lifetime imaging (FLIM) may reveal intracellular structural details in unstained cytological preparations that are not revealed by standard staining procedures. The aim of our investigation was to examine whether FLIM images could reveal areas suggestive of polymerization in red blood cells (RBCs) of sickle cell disease (SCD) patients. We examined label-free blood films using auto-fluorescence FLIM images of 45 SCD patients and compared the results with those of 27 control persons without hematological disease. All control RBCs revealed homogeneous cytoplasm without any foci. Rounded non-sickled RBCs in SCD showed between zero and three small intensively fluorescent dots with higher lifetime values. In sickled RBCs, we found additionally larger irregularly shaped intensively fluorescent areas with increased FLIM values. These areas were interpreted as equivalent to polymerized hemoglobin. The rounded, non-sickled RBCs of SCD patients with homogeneous cytoplasm were not different from those of the erythrocytes of control patients in light microscopy. Yet, variables from the local binary pattern-transformed matrix of the FLIM values per pixel showed significant differences between non-sickled RBCs and those of control cells. In a linear discriminant analysis, using local binary pattern-transformed texture features (mean and entropy) of the erythrocyte cytoplasm of normal appearing cells, the final model could distinguish between SCD patients and control persons with an accuracy of 84.7% of the patients. When the classification was based on the examination of a single rounded erythrocyte, an accuracy of 68.5% was achieved. Employing the Linear Discriminant Analysis classifier method for machine learning, the accuracy was 68.1%. We believe that our study shows that FLIM is able to disclose the topography of the intracellular polymerization process of hemoglobin in sickle cell disease and that the images are compatible with the theory of the two-step nucleation. Furthermore, we think that the presented technique may be an interesting tool for the investigation of therapeutic inhibition of polymerization.
在最近的研究中,已经表明荧光寿命成像(FLIM)可能揭示未经染色细胞学制剂中通过标准染色程序无法揭示的细胞内结构细节。我们的研究目的是检查 FLIM 图像是否可以揭示镰状细胞病(SCD)患者红细胞(RBC)中聚合的提示区域。我们使用 45 名 SCD 患者的无标记血液涂片检查了自动荧光 FLIM 图像,并将结果与 27 名无血液疾病的对照者进行了比较。所有对照 RBC 均显示均匀细胞质,没有任何焦点。SCD 中的圆形非镰状 RBC 显示零到三个具有更高寿命值的小密集荧光点。在镰状 RBC 中,我们还发现了更大的不规则形状密集荧光区域,FLIM 值增加。这些区域被解释为相当于聚合血红蛋白。SCD 患者中圆形、非镰状的 RBC 与对照患者的 RBC 在光镜下没有区别。然而,来自每个像素的 FLIM 值的局部二值模式变换矩阵的变量在非镰状 RBC 与对照细胞之间显示出显著差异。在线性判别分析中,使用正常外观细胞的红细胞细胞质的局部二值模式变换纹理特征(均值和熵),最终模型可以以 84.7%的患者准确性区分 SCD 患者和对照者。当基于单个圆形红细胞的检查进行分类时,达到了 68.5%的准确性。使用线性判别分析分类器方法进行机器学习,准确性为 68.1%。我们认为我们的研究表明,FLIM 能够揭示血红蛋白在镰状细胞病中的细胞内聚合过程的形貌,并且图像与两步成核理论相符。此外,我们认为所提出的技术可能是研究聚合抑制治疗的有趣工具。