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Objective Estahlished the method to detect different transcripts of EVI1 gene expression with quantitative PCR and study the expression patterns of EVI1 gene in different leukemia groups to investigate the association between EVI1 gene expression and the incidence and prognosis of leukemia.Methods 60 cases acute myeloid leukemia (AML) and 9 cases normal control were detected in the study,37 cases were male and 32 cases were female,age 10-70 years,median age 42 years,M3 36 cases,M2 16 cases and M4 8 cases according to FAB classification criteria,control samples of nine cases were normal healthy people.Using the quantitative PCR (Taq Man probe) to detect the expression of different transcripts of EVI1 gene.The t test was used to detect the expression difference among different leukemia groups.Results ABL gene was used as internal reference,relative changes of EVI1 gene expression level were detected by EVI1/ABL.In all the control patients,EVI1 gene of different transcription of this expression were detected,expression level of EVI1 gene different transcription was significant with the difference (P ＜ 0.05),transcription 2 and 5 (the same primers) were the lowest,followed for transcription 1 and 6,expression of transcription 3 was the highest.The expression levels of transcripts 2 and 5,1,6,3 were nagative,0.005,0.050 and 0.512 respectively in healthy control samples.In addition,the EVI1 gene expression was negatively correlated with expression of the fusion gene AML-ETO and CBFB-MYH11 in AML.Conclusion The study established a stable,fast and accurate method to detect the expression of EVI1 gene.

In nonlinear systems, noise can improve the responses of the systems with appropriate noise intensity. This phenomenon is called stochastic resonance. Biological neural systems are noisy and stochastic resonance has been found in them experimentally and theoretically. Now many researches focus on the signal transmission and processing in neural models. So this paper introduces the researches of stochastic resonance in noisy neural models. Then the recent research achievement and progress are reviewed in the following three aspects: noise; the development of stochastic resonance; and neural network. At last, the foreground of the study is discussed.
Humans ; Models, Neurological ; Neurons ; physiology ; Nonlinear Dynamics ; Signal Transduction ; Stochastic Processes

We have investigated the effects of high frequency (HF) signal on firing activity in a biologically realistic system--the noisy Hodgkin-Huxley (HH) neuron model via numerical simulations. The results show that when the HF amplitude to frequency ratio (AFR) increases, the firing rate is diminished and stochastic resonance disappears, even the HH neuron model is processing a stimulus of its most sensitive frequency. When the noise intensity is strong, the vibration resonance can be observed. Moreover, the fluctuation around the resting potential will be replaced by an oscillation of the same high frequency with the increasing AFR. The inhibition of the firing activity is consistent with the results of experiment in vivo that HF current can stop the transmission of action potential in peripheral nerve. This study is of functional significance to the biomedical research on the damages caused by electro-pollution in vivo and signal processing.
Action Potentials ; Artifacts ; Computer Simulation ; Humans ; Models, Neurological ; Neurons ; physiology ; Stochastic Processes

Objective To investigate the clinical significance of combined heart and lung ultrasound in patients with severe left heart failure and pulmonary hypertension. Methods From March 2016 to June 2017, 75 patients with grade Ⅲ and Ⅳ heart failure and dyspnea were enrolled in Qingdao Municipal Hospital Affiliated to Qingdao University. Thirty-three patients had normal pulmonary artery pressure (normal pulmonary arterial pressure group), 25 patients had mild pulmonary hypertension (mild pulmonary hypertension group), and 17 patients had moderate to severe pulmonary hypertension (moderate to severe pulmonary hypertension group). The patient′s plasma B-type natriuretic peptide (BNP) was measured. Left ventricular diameter (LVD), right ventricular diameter (RVD), and left ventricular ejection fraction (LVEF) were measured by echocardiography. The patient′s lungs were observed by lung ultrasonography, and its number was recorded. One-way analysis of variance was used to compare the differences of LVD, RVD, and LVEF in three groups of patients with severe left heart failure. Further comparison between groups was performed using LSD-t test. Kruskal-wallis H test was used to compare the plasma BNP concentration and B-line number in three groups of patients with severe left heart failure. The Mann-Whitney U test was used to further compare the groups. The receiver operating characteristic (ROC) curve of pulmonary hypertension diagnosed by plasma BNP concentration and B line number in patients with severe left heart failure were drwan. Results The concentrations of BNP in patients with normal pulmonary arterial pressure, mild pulmonary hypertension, and moderate to severe pulmonary hypertension were 890 (614, 1516), 1460 (1245, 1950), and 2660 (1670, 3279) ng/L, respectively. The number of B line was 12 (9, 16), 17 (14, 18), 26 (20, 28), and the RVD was (22.1±1.7), (24.9±2.0), (26.3±2.8) mm, respectively. The number of B-line and RVD in the moderate-severe pulmonary hypertension group were both lager than those in the mild pulmonary hypertension group, and the number of B-line and RVD in the mild pulmonary hypertension group were both lager than those in the normal pulmonary artery pressure group. There was significant difference between any two groups (BNP concentration: U=210.500, P < 0.05; U=47.000, 73.000, both P < 0.001;B line number:U=189.000,P < 0.05;U=38.5000,64.000,both P < 0.001;RVD:t=0.553, 0.623, both P<0.001; t=0.656, P<0.05). There was no significant difference in LVD and LVEF between the three groups of patients. The ROC curve showed that the optimal threshold for the diagnosis of pulmonary hypertension in patients with severe left heart failure with BNP concentration was 1225 ng/L. The sensitivity was 85.7%,the specificity was 69.7%,the area under the curve was 0.814,and the 95% CI was 0.717 to 0.911. The optimal threshold for diagnosis of pulmonary hypertension in patients with severe left heart failure was B line number 14, the sensitivity was 88.1%, specificity was 66.7%, the area under the curve was 0.836, and 95%CI was 0.747 to 0.925.Conclusion Patients with severe left heart failure at different pulmonary artery pressure levels have different B-line findings, and the number of B-line increases with the severity of pulmonary hypertension, which warrants further study and application.