1. The new preparation method for paraffin-embedded samples applying scanning electron microscopy revealed characteristic features in asthma-induced mice
- Author
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Ken, Wakai, Kazuhiko, Azuma, Chiaki, Iwamura, Maihulan, Maimaiti, Kosuke, Mikami, Kei, Yoneda, Shinichi, Sakamoto, Sanae, Ikehara, Takashi, Yamaguchi, Kiyoshi, Hirahara, Tomohiko, Ichikawa, Toshinori, Nakayama, and Yuzuru, Ikehara
- Subjects
Mice ,Paraffin Embedding ,Multidisciplinary ,Staining and Labeling ,Microscopy, Electron, Scanning ,Animals ,Humans ,Coloring Agents ,Fibrosis ,Asthma - Abstract
In bronchial asthma patients, mucous cell metaplasia (MCM) and fibrosis occur in the bronchial epithelium and interstitium, respectively. The mucus and collagen fibers are identified by Periodic acid-Schiff stain (PAS) or Sirius red stain on optical microscopy. On a scanning electron microscope (SEM) observation, formalin-fixed-paraffin-embedded specimens have high insulation, thereby attenuating the scattered electron signals leading to insufficient contrast. Moreover, there were no staining methods for SEM observation, which characterizes the changes in epithelium and interstitium by enhancing the scattered electrons. In this study, we established a method of coating osmium thin film on pathological tissue specimens using plasma chemical vapor deposition technology. This method ensured the intensity of scattered electron signals and enabled SEM observation. Furthermore, we found that morphological changes in MCM and interstitial fibrosis could be characterized by Grocott stain, which we optimized to evaluate pathological remodeling in bronchial asthma. Using these techniques, we compared asthma-induced mice with Amphiregulin (Areg) knockout mice, and found that Areg induce MCM, but the production of Grocott-stain-positive substrate in the interstitium is Areg-independent. The method developed in this study provides an understanding of the pathological spatial information linked to the ultrastructural changes in cells and interstitium due to disease-related signaling abnormalities.
- Published
- 2022
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