A VAPOR EXPOSURE MODEL FOR NEONATAL MICE

2002 ◽  
Vol 12 (1) ◽  
pp. 59-70
Author(s):  
Dana R. Anderson ◽  
Larry W. Mitcheltree ◽  
Daniel E. Brobst ◽  
Susan L. Byers ◽  
Daniel F. Merz ◽  
...  
Keyword(s):  
2002 ◽  
Vol 12 (1) ◽  
pp. 59-70 ◽  
Author(s):  
Dana R. Anderson ◽  
Larry W. Mitcheltree ◽  
Daniel E. Brobst ◽  
Susan L. Byers ◽  
Daniel F. Merz ◽  
...  
Keyword(s):  

2021 ◽  
Vol 92 (1) ◽  
Author(s):  
Guofeng Han ◽  
Takuma Nishigawa ◽  
Hiromi Ikeda ◽  
Mizuki Hamada ◽  
Hui Yang ◽  
...  

2021 ◽  
Vol 49 (4) ◽  
pp. 030006052098210
Author(s):  
Quan Wang ◽  
Jingcong Luo ◽  
Ruiqiang Sun ◽  
Jia Liu

Objective Common inhalation anesthetics used for clinical anesthesia (such as sevoflurane) may induce nerve cell apoptosis during central nervous system development. Furthermore, anesthetics can produce cognitive impairments, such as learning and memory impairments, that continue into adulthood. However, the precise mechanism remains largely undefined. We aimed to determine the function of microRNA-1297 (miR-1297) in sevoflurane-induced neurotoxicity. Methods Reverse transcription-polymerase chain reaction assays were used to analyze miR-1297 expression in sevoflurane-exposed mice. MTT and lactate dehydrogenase (LDH) assays were used to measure cell growth, and neuronal apoptosis was analyzed using flow cytometry. Western blot analyses were used to measure PTEN, PI3K, Akt, and GSK3β protein expression. Results In sevoflurane-exposed mice, miR-1297 expression was up-regulated compared with the control group. MiR-1297 up-regulation led to neuronal apoptosis, inhibition of cell proliferation, and increased LDH activity in the in vitro model of sevoflurane exposure. MiR-1297 up-regulation also suppressed the Akt/GSK3β signaling pathway and induced PTEN protein expression in the in vitro model. PTEN inhibition (VO-Ohpic trihydrate) reduced PTEN protein expression and decreased the effects of miR-1297 down-regulation on neuronal apoptosis in the in vitro model. Conclusion Collectively, the results indicated that miR-1297 stimulates sevoflurane-induced neurotoxicity via the Akt/GSK3β signaling pathway by regulating PTEN expression.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Toshinori Tanaka ◽  
Yoshio Yahata ◽  
Keisuke Handa ◽  
Suresh V. Venkataiah ◽  
Mary M. Njuguna ◽  
...  

Abstract Background We established an in vivo intraradicular biofilm model of apical periodontitis in pigs in which we compared the efficacy of different irrigant activation techniques for biofilm removal. Methods Twenty roots from the deciduous mandibular second premolar of 5 male pigs were used. After pulpectomy, canals were left open for 2 weeks and then sealed for 4 weeks to enable the development of an intracanal biofilm. The intraradicular biofilms was evaluated using SEM and bacterial 16S rRNA gene-sequencing. To investigate the efficacy of biofilm removal, root canal irrigations were performed using conventional needle, passive ultrasonic, subsonic, or laser-activated irrigation. Real-time PCR was conducted to quantitate the remaining biofilm components. Statistical analysis was performed using ANOVA followed by a Tukey kramer post-hoc test with α = 0.05. Results The pulp exposure model was effective in inducing apical periodontitis and SEM analysis revealed a multi-layer biofilm formation inside the root canal. 16S rRNA sequence analysis identified Firmicutes, Bacteroidetes, and Fusobacteria as the predominant bacterial phyla components, which is similar to the microbiome profile seen in humans. None of the tested irrigation techniques completely eradicated the biofilm components from the root canal, but the subsonic and laser-activated irrigation methods produced the lowest bacterial counts (p < 0.05). Conclusions An experimental intraradicular biofilm model has been successfully established in pigs. Within the limitations of the study, subsonic or laser-activated irrigation demonstrated the best biofilm removal results in the pig system.


2021 ◽  
Vol 133 ◽  
pp. 110989
Author(s):  
Jialing Zhang ◽  
Li Cao ◽  
Yanfeng Tan ◽  
Yuanzheng Zheng ◽  
Yonghao Gui

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