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1.
Toxicol Appl Pharmacol ; 329: 40-47, 2017 08 15.
Artigo em Inglês | MEDLINE | ID: mdl-28526636

RESUMO

Radiation-induced enteritis is a major side effect in cancer patients undergoing abdominopelvic radiotherapy. Radiation exposure produces an uncontrolled inflammatory cascade and epithelial cell loss leading to impaired epithelial barrier function. The goal of this study was to determine the effect of rebamipide on regeneration of the intestinal epithelia after radiation injury. The abdomens of C57BL/6 mice were exposed to 13Gy of irradiation (IR) and then the mice were treated with rebamipide. Upon IR, intestinal epithelia were destroyed structurally at the microscopic level and bacterial translocation was increased. The intestinal damage reached a maximum level on day 6 post-IR and intestinal regeneration occurred thereafter. We found that rebamipide significantly ameliorated radiation-induced intestinal injury. In mice treated with rebamipide after IR, intestinal barrier function recovered and expression of the tight junction components of the intestinal barrier were upregulated. Rebamipide administration reduced radiation-induced intestinal mucosal injury. The levels of proinflammatory cytokines and matrix metallopeptidase 9 (MMP9) were significantly reduced upon rebamipide administration. Intestinal cell proliferation and ß-catenin expression also increased upon rebamipide administration. These data demonstrate that rebamipide reverses impairment of the intestinal barrier by increasing intestinal cell proliferation and attenuating the inflammatory response by inhibiting MMP9 and proinflammatory cytokine expression in a murine model of radiation-induced enteritis.


Assuntos
Alanina/análogos & derivados , Enterite/prevenção & controle , Células Epiteliais/efeitos dos fármacos , Mucosa Intestinal/efeitos dos fármacos , Quinolonas/farmacologia , Lesões Experimentais por Radiação/prevenção & controle , Protetores contra Radiação/farmacologia , Alanina/farmacologia , Animais , Translocação Bacteriana/efeitos dos fármacos , Translocação Bacteriana/efeitos da radiação , Proliferação de Células/efeitos dos fármacos , Citocinas/metabolismo , Citoproteção , Relação Dose-Resposta a Droga , Enterite/metabolismo , Enterite/patologia , Células Epiteliais/metabolismo , Células Epiteliais/patologia , Células Epiteliais/efeitos da radiação , Mediadores da Inflamação/metabolismo , Mucosa Intestinal/metabolismo , Mucosa Intestinal/patologia , Mucosa Intestinal/efeitos da radiação , Masculino , Metaloproteinase 9 da Matriz/metabolismo , Camundongos Endogâmicos C57BL , Lesões Experimentais por Radiação/metabolismo , Lesões Experimentais por Radiação/patologia , Junções Íntimas/efeitos dos fármacos , Junções Íntimas/metabolismo , Junções Íntimas/patologia , Junções Íntimas/efeitos da radiação , Fatores de Tempo , beta Catenina/metabolismo
2.
Materials (Basel) ; 15(13)2022 Jun 28.
Artigo em Inglês | MEDLINE | ID: mdl-35806659

RESUMO

The microstructure of molten marks changes according to ambient temperatures, when a short circuit occurs. Investigation of microstructural changes is important for understanding the properties of copper and examining the cause of a fire. In this study, the boundary characteristics and grain-size distribution of molten marks-primary-arc beads (PABs), which short-circuited at room temperature (25 °C), and secondary-arc beads (SABs), which short-circuited at high temperatures (600 °C, 900 °C)-were compared using electron backscatter diffraction. The distribution of Σ3 boundaries was compared, and it was found that SABs have a higher fraction of Σ3 boundaries than PABs. Moreover, it was confirmed that the ratio of maximum grain size (area) to the total area of the molten mark in SABs is larger than that in PABs. Thus, reliable discriminant factors were suggested, such as the fraction of Σ3 boundaries and normalized maximum grain size, which can distinguish PABs and SABs. The four discriminant factors, such as the (001)//LD, GAR, fraction of Σ3 boundaries, and fraction of maximum grain size to the total molten-mark area, were verified using the machine learning of t-SNE and Pearson correlation analyses.

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