Objective To explore the role of ERK1/2 in the central pathogenesis of migraine.Methods Healthy adult male SD rats were randomly divided into five groups:normal group (group C),sham operation group(group C),migraine model group(group M),DMSO group (group D)and PD-98059group (PD group),with 12 rats in each group.The extracellular discharge frequency in the spinal trigeminal nucleus was recorded and ERK1/2 phosphorylation was tested.Results (1) The percentage of extracellular discharge frequency change:Two hours after treatment,the percentage of discharge frequency change was (325.9±47.32)％.The percentage of extracellula discharge frequency change in group M (325.9±47.3)％ was higher than that in group N (100.0± 0.0) ％ and group C(107.3± 16.4)％.There was no significant difference in the percentage of discharge frequency change between group D(319.3±42.5) ％ and group M (325.9±47.3) ％.The percentage of discharge frequency change in group PD(218.5±31.7)％ was lower than that in group M(325.9±47.3)％ and group D(319.3± 42.5)％.(2) ERK1/2 phosphorylation:the ERK1/2 phosphorylation in group M and group D was higher than that in group N and group C.There was no significant difference in ERK1/2 phosphorylation between group D and group M.The ERK1/2 phosphorylation in group PD was lower than the other four groups.Conclusion During the process of central sensitization to migraine,neuronal excitability and ERK1/2 phosphorylation were increased.ERK1/2 inhibitor (PD98059) reduced ERK1/2 phosphorylation and neuronal excitability.These indicated that ERK1/2 may play a role in central sensitization of migraine in rats.

Analysis of neural stem cells' movements is one of the important parts in the fields of cellular and biological research. The main difficulty existing in cells' movement study is whether the cells tracking system can simultaneously track and analyze thousands of neural stem cells (NSCs) automatically. We present a novel cells' tracking algorithm which is based on segmentation and data association in this paper, aiming to improve the tracking accuracy further in high density NSCs' image. Firstly, we adopted different methods of segmentation base on the characteristics of the two cell image sequences in our experiment. Then we formed a data association and constituted a coefficient matrix by all cells between two adjacent frames according to topological constraints. Finally we applied The Hungarian algorithm to implement inter-cells matching optimally. Cells' tracking can be achieved according to this model from the second frame to the last one in a sequence. Experimental results showed that this approaching method has higher accuracy compared with that using the topological constraints tracking alone. The final tracking accuracies of average of sequence I and sequence II have been improved 10.17% and 4%, respectively.
Algorithms ; Animals ; Cell Count ; Cell Movement ; Cell Tracking ; statistics & numerical data ; Image Processing, Computer-Assisted ; methods ; Microscopy, Fluorescence ; Models, Theoretical ; Neural Stem Cells ; cytology

Objective To evaluate the feasibility of needle-based confocal laser endomicroscopy (nCLE) for imaging of intra-abdominal tissues and organs in rabbit models in vivo. Methods The nCLE miniprobe was inserted through the 19-gauge needle into various intra-abdominal tissues and organs[omentum majus, liver, pancreas and psoas major (skeletal muscle)]. The nCLE images were acquired and real-time sequences of respective locations were recorded. Finally, nCLE image characteristics were compared with histopathologic findings. Results nCLE was successfully performed in intra-abdominal tissues and organs of five rabbit models. The microscopic structures of cells, glands and microvessels in the omentum majus, liver, pancreas and psoas major ( skeletal muscle) were visualized clearly, respectively. Characteristics of various intra-abdominal tissues and organs were displayed on nCLE images, which were correlated well with histological findings. Conclusion Imaging of intra-abdominal tissues and organs with nCLE in vivo is feasible in future clinical practice.

Objective:To investigate the influencing factors for microvascular invasion (MVI) in hepatocellular carcinoma based on three-dimensional visualization and the construction of its nomogram model.Methods:The retrospective cohort study method was conducted. The clinico-pathological data of 190 patients with hepatocellular carcinoma who were admitted to Henan University People′s Hospital from May 2018 to May 2021 were collected. There were 148 males and 42 females, aged (58±12)years. The 190 patients were randomly divided into the training set of 133 cases and the validation set of 57 cases by the method of random number table in the ratio of 7:3. The abdominal three-dimensional visualization system was used to characterize the tumor morphology and other imaging features. Observation indicators: (1) analysis of influencing factors for MVI in hepatocellular carcinoma; (2) construction and evaluation of nomogram model of MVI in hepatocellular carcinoma. Measurement data with normal distribution were expressed as Mean± SD, and independent sample t test was used for comparison between groups. Measurement data with skewed distribution were expressed as M( Q1, Q3), and non-parametric rank sum test was used for comparison between groups. Count data were expressed as absolute numbers, and the chi-square test was used for comparison between groups. Corresponding statistical methods were used for univariate analysis. Binary Logistic regression model was used for multivariate analysis. Receiver operator characteristic (ROC) curves were plotted, and the nomogram model was assessed by area under the curve (AUC), calibration curve, and decision curve. Results:(1) Analysis of influencing factors for MVI in hepatocellular carcinoma. Among 190 patients with hepatocellular carcinoma, there were 97 cases of positive MVI (including 63 cases in the training set and 34 cases in the validation set) and 93 cases of negative MVI (including 70 cases in the training set and 23 cases in the validation set). Results of multivariate analysis showed that alpha-fetoprotein, vascular endothelial growth factor, tumor volume, the number of tumors, and tumor morphology were independent factors affecting the MVI of patients with hepatocellular carcinoma ( odds ratio=5.06, 3.62, 1.00, 2.02, 2.59, 95% confidence interval as 1.61-15.90, 1.28-10.20, 1.00-1.01, 1.02-3.98, 1.03-6.52, P<0.05). (2) Construction and evaluation of nomogram model of MVI in hepatocellular carcinoma. The results of multivariate analysis were incorporated to construct a nomogram prediction model for MVI of hepatocellular carcinoma. ROC curves showed that the AUC of the training set of nomogram model was 0.85 (95% confidence interval as 0.79-0.92), the optimal fractional cutoff based on the Jordon′s index was 0.51, the sensitivity was 0.71, and the specificity was 0.84. The above indicators of validation set were 0.92 (95% confidence interval as 0.85-0.99), 0.50, 0.90, and 0.82, respectively. The higher total score of the training set suggested a higher risk of MVI in hepatocellular carcinoma. The calibration curves of both training and validation sets of nomogram model fitted well with the standard curves and have a high degree of calibration. The decision curve showed a high net gain of nomogram model. Conclusions:Alpha-fetoprotein, vascular endothelial growth factor, tumor volume, the number of tumors, and tumor morphology are independent influencing factors for MVI in patients with hepatocellular carcinoma. A nomogram model constructed based on three-dimensional visualized imaging features can predict MVI in hepatocellular carcinoma.

Objective:To analyze the efficacy of chest wall boost radiotherapy in stage T 4 breast cancer patients after modified radical mastectomy. Methods:A retrospective analysis was performed on the data of 148 stage T 4 breast cancer patients who were admitted from 2000 to 2016 and received radiotherapy after modified radical mastectomy. There were 57 cases in the chest wall boost radiotherapy group and 91 cases in the conventional dose group. Radiotherapy was performed by conventional+ chest wall electron beam, three-dimensional conformal+ chest wall electron beam, intensity modulated radiotherapy+ chest wall electron beam irradiation. EQD 2 at the boost group was >50Gy. All patients received neoadjuvant chemotherapy. Kaplan-Meier method was used to analyze survival; Logrank was used to test differences; and Cox model was used to do multivariate prognostic analysis. Results:The median follow-up time was 67.2 months. The 5-year rates of chest wall recurrence (CWR), locoregional recurrence (LRR), disease-free survival (DFS), and overall survival (OS) were 9.9%, 16.2%, 58.0%, and 71.4%, respectively. The 5-year rates of CWR, LRR, DFS, and OS with and without chest wall boost radiotherapy were 14% vs. 7%, 18% vs. 15%, 57% vs. 58%, 82% vs. 65%( P>0.05), respectively. Multivariate analysis showed that chest wall boost radiotherapy had no significant effect on prognosis ( P>0.05). Among 45 patients in the recurrent high-risk group, boost radiotherapy seemed to have higher OS rate ( P=0.058), DFS rate ( P=0.084), and lower LRR rate ( P=0.059). Conclusions:Stage T 4 breast cancer patients had strong heterogeneity. Chest wall boost radiotherapy did not apparently benefit all patients. For patients with 2-3 high risk factors including positive vascular tumor embolus, pN 2-N 3, and hormone receptor negative, chest wall boost radiotherapy showed a trend of improving efficacy.