1.Oxidative stress and cell signal transduction
Peng LIU ; Zhengfeng YIN ; Jiamei YANG
Academic Journal of Second Military Medical University 2000;0(07):-
Oxidative stress is a major cause of fatty liver,atherosclerosis,cancer,organ damage following ischemia/reperfusion,etc.In recent years,significant improvements have been achieved in studies on signaling pathways involved in oxidative stress,which provide a basis for the drug and gene therapy.This article reviews the major redox-related signaling molecules and pathways,including transcription factors,growth factor signaling,tyrosine kinases and serine/threonine kinases.
2.Effect of ginsenoside Rb1 on bioactivity of olfactory ensheathing cells
Zhengfeng LU ; Maohua CHENG ; Weixiao GUO ; Yinyao TANG ; Peng ZHANG ; Youjia XU
Chinese Journal of Trauma 2015;31(3):264-268
Objective To investigate influence of ginsenoside Rb1 on the proliferation and bioactivity of olfactory ensheathing cells (OECs).Methods OECs were primary cultured and purified from olfactory bulb of the adult SD rats.MTT assay was used to detect proliferation of OECs treated with ginsenoside Rb1 (intervention concentrations of 0,10,20,40,and 80 μg/ml and intervention time of 12,24,36,48,and 60 hours).Optimal concentration and intervention time of ginsenoside Rb1 was determined and performed in the succedent experiments.Purified cells were divided into blank control group and ginsenoside Rb1 group.RT-PCR was utilized to determine mRNA expressions of nerve growth factor (NGF),brain-derived neurotrophic factor (BDNF),glial derived neurotrophic factor(GDNF) and neural cell adhesion molecule (N-CAM) in the two groups.ELISA analysis was performed to measure secretion levels of NGF,BDNF and GDNF in the cultural supernatant.Results MTF analysis suggested ginsenoside Rb1 promoted proliferation of OECs with optimal effect at 20 μg/ml concentration for 48 hours (0.648±0.019,P < 0.05).RT-PCR analysis demonstrated that mRNA expressions of NGF,BDNF,GDNF and N-CAM were significantly up-regulated in ginsenoside Rb1 group compared to those in blank control group (0.620 ± 0.011 vs 0.180 ± 0.011,0.511 ± 0.090 vs 0.293 ± 0.051,0.343 ± 0.042 vs 0.064 ± 0.005,0.839 ± 0.017 vs 0.717 ± 0.044) (P < 0.05).ELISA analysis confirmed that secretions of NGF,BDNF and GDNF was increased in Rb1 group compared to those in blank control group (200.167 ± 8.361 vs 51.467 ± 3.815,156.700 ± 4.190 vs 96.500 ± 2.707,26.264 ± 5.864 vs 4.917 ± 10.894,P < 0.05).Conclusion Ginsenoside Rb1 significantly promotes proliferation and bioactivity of OECs and hence benefits to spinal cord injury repair.
3.Age assessment by three-dimensional reconstructions of pubis symphysis via magnetic resonance imaging
Xiaoping LAI ; Zhengfeng PENG ; Qinyun WANG ; Zhitang CHEN ; Ruitao ZHOU ; Quanhui ZHONG ; Huanyi YANG ; Yiling FU ; Jingyu YE
Chinese Journal of Forensic Medicine 2017;32(3):257-260
Objective To establish a method of quick three-dimensional (3D) reconstruction of pubic symphysis based on magnetic resonance imaging. Methods The pelvis images of adult male were generated on a 3.0 T scanner using a T1 Gradient Echo FLASH-3D (T1- FL3D) sequence and imported the images into medical image control system. Segmentation of binaryzation threshold was conducted and pelvic soft tissue image was extracted by regional growth, 3D structure model of pubic symphysis was obtained by Boolean operation. The 3D structure model of pubic symphysis was established by the noise reduction of reverse engineering software. And compared with the 3D reconstruction model pubic bone CT scan. Results The morphological characters of the MRI pubic symphysis 3D model, such as the ridges and furrows on the symphysial surface, lower extremity, dorsal margin (beveling), margin (beveling) and pubic tubercle, were highly consistent with the morphological characters of the 3D model established by CT scan. Conclusion MRI scan can be used to reconstruct the 3D structure of pubic symphysis quickly and effectively, and it can provide a safe radiation-free 3D visualization imaging technique for forensic age estimation for the living.