[Objective] To investigate the effect of mitogen-activated protein kinases (MAPK) on cerebral ischemia induced by photothrombosis in Swedish amyloid precursor protein (APP/SWE) transgenic mice.[Methods] In APP/SWE transgenic mice and non-transgenic mice (n ＝ 12,respectively),photothrombotic stroke was induced,on 7 d after cerebral ischemia,the amount of the survival neuron in the penumbra was counted using Nissl staining (n ＝ 6),and the activities of p38MAPK and JNK were measured by Western blot (n ＝ 6).[Results] On 7 d after cerebral ischemia,ratio of amount of survival neuron over the penumbra in hippocampus in the ischemic side to that in the non-ischemic side in the non-transgenic mice group (78.3 ± 1.3)% was significantly higher than that in the APP/SWE transgenic mice group (70.5 ± 1.4)% (P ＜ 0.05);compared with the non-ischemic hemisphere,the activities of p38 MAPK and JNK increased significantly in the ischemic hemisphere in the APP/SWE transgenic mice group (P ＜ 0.05),whereas,there was no significant difference between ischemic and non-ischemic hemisphere in the non-transgenic mice group (P ＞ 0.05).[Conclusion] Photothrombosis causes more severe damage in the APP/SWE transgenic mice group than that in the non-transgenic mice group.The possible mechanism includes the increased activities of MAPK which enhance the process of neuronal cell apoptosis.

Laser induced breakdown spectroscopy ( LIBS ) was proposed to rapidly discriminate microbe species. Ten species of microbes were prepared in lab. Filter papers were selected as substrate for enriching bacteria and enhancing the quality of LIBS. The images of plasma were collected by ICCD camera and LIBS spectra were obtained by spectrometers. The results displayed that the images and spectra were different from 10 bacteria. It was demonstrated that this method was feasible to discriminate bacteria species by analyzing image and/or spectroscopy. Furthermore, nine smooth and multiple scattering correction ( MSC) were utilized to preprocess the LIBS full-spectrum data in the wavelength range of 200-420 nm and 560-680 nm. And principal component analysis ( PCA) and PCA-RF ( Random forest) were compared to validate the accuracy of discrimination. The investigation showed that the PCA-RF model coupled with suitable methods in preprocessing data could identify bacteria. The accuracy was 99. 6% for ten species of microbes by evaluating LIBS spectra in training set, and 96. 7% in predicting set. This report indicated that it is feasible to differentiate bacteria species by analyzing LIBS spectra.