Singh Rajwinder, Dubey Vishesh, Wolfson Deanna, Ahmad Azeem, Butola Ankit, Acharya Ganesh, Mehta Dalip Singh, Basnet Purusotam, Ahluwalia Balpreet Singh
Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø 9037, Norway.
Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Biomed Opt Express. 2020 Jun 12;11(7):3733-3752. doi: 10.1364/BOE.389350. eCollection 2020 Jul 1.
In pregnancy during an inflammatory condition, macrophages present at the feto-maternal junction release an increased amount of nitric oxide (NO) and pro-inflammatory cytokines such as TNF- and INF-γ, which can disturb the trophoblast functions and pregnancy outcome. Measurement of the cellular and sub-cellular morphological modifications associated with inflammatory responses are important in order to quantify the extent of trophoblast dysfunction for clinical implication. With this motivation, we investigated morphological, cellular and sub-cellular changes in externally inflamed RAW264.7 (macrophage) and HTR-8/SVneo (trophoblast) using structured illumination microscopy (SIM) and quantitative phase microscopy (QPM). We monitored the production of NO, changes in cell membrane and mitochondrial structure of macrophages and trophoblasts when exposed to different concentrations of pro-inflammatory agents (LPS and TNF-). NO production by LPS-induced macrophages increased 22-fold as compared to controls, whereas no significant NO production was seen after the TNF- challenge. Under similar conditions as with macrophages, trophoblasts did not produce NO following either LPS or the TNF- challenge. Super-resolution SIM imaging showed changes in the morphology of mitochondria and the plasma membrane in macrophages following the LPS challenge and in trophoblasts following the TNF- challenge. Label-free QPM showed a decrease in the optical thickness of the LPS-challenged macrophages while TNF- having no effect. The vice-versa is observed for the trophoblasts. We further exploited machine learning approaches on a QPM dataset to detect and to classify the inflammation with an accuracy of 99.9% for LPS-challenged macrophages and 98.3% for TNF--challenged trophoblasts. We believe that the multi-modal advanced microscopy methodologies coupled with machine learning approach could be a potential way for early detection of inflammation.
在孕期发生炎症时,位于母胎界面的巨噬细胞会释放出更多的一氧化氮(NO)以及促炎细胞因子,如肿瘤坏死因子(TNF-)和干扰素-γ(INF-γ),这些物质会干扰滋养层细胞的功能以及妊娠结局。测量与炎症反应相关的细胞及亚细胞形态变化,对于量化滋养层细胞功能障碍的程度具有重要意义,这在临床上具有重要的指导意义。基于此,我们使用结构光照显微镜(SIM)和定量相显微镜(QPM)研究了体外炎症状态下RAW264.7(巨噬细胞)和HTR-8/SVneo(滋养层细胞)的形态、细胞及亚细胞变化。我们监测了巨噬细胞和滋养层细胞在暴露于不同浓度促炎剂(脂多糖(LPS)和肿瘤坏死因子(TNF-))时一氧化氮的产生、细胞膜和线粒体结构的变化。与对照组相比,脂多糖诱导的巨噬细胞产生的一氧化氮增加了22倍,而在肿瘤坏死因子刺激后未观察到明显的一氧化氮产生。在与巨噬细胞相似的条件下,脂多糖或肿瘤坏死因子刺激后,滋养层细胞均未产生一氧化氮。超分辨率结构光照显微镜成像显示,脂多糖刺激后巨噬细胞的线粒体和质膜形态发生变化,肿瘤坏死因子刺激后滋养层细胞的线粒体和质膜形态发生变化。无标记定量相显微镜显示,脂多糖刺激的巨噬细胞光学厚度降低,而肿瘤坏死因子对其无影响。滋养层细胞则观察到相反的情况。我们进一步利用机器学习方法对定量相显微镜数据集进行分析,以检测和分类炎症,脂多糖刺激的巨噬细胞的分类准确率为99.9%,肿瘤坏死因子刺激的滋养层细胞的分类准确率为98.3%。我们认为,多模态先进显微镜方法与机器学习方法相结合,可能是早期检测炎症的一种潜在方法。