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ObjectiveTo investigate the effect of Shouwuwan on the synaptic plasticity of hippocampal neurons in the rat model of D-galactose-induced aging via the mammalian target of rapamycin （mTOR） signaling pathway. MethodA total of 50 male SPF-grade SD rats were randomized into normal group， model group， vitamin E （0.018 g·kg-1） group， and low- and high-dose （1.08，2.16 g·kg-1， respectively） Shouwuwan groups. Except the normal group， the other four groups were treated with D-galactose （120 mg·kg-1） for the modeling of aging. The rats were simultaneously administrated with corresponding agents by gavage. After six weeks of modeling， Morris water maze test was carried out to examine the behavioral changes. The whole brain and hippocampus samples were collected. The expression of postsynaptic density protein-95 （PSD-95） and synaptophysin （SYN） in the hippocampus was detected by immunohistochemistry. Golgi staining was employed to observe the changes in the morphology and function of neurons. Western blot and Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） were respectively employed to determine the mRNA and protein levels of mTOR， phosphorylated （p）-mTOR， p70 ribosome protein S6 kinase （p70S6K）， phosphorylated （p）-p70S6K， eukaryotic translation initiation factor 4E-binding protein 2 （4EBP2）， and phosphorylated （p）-4EBP2 in the hippocampus. ResultCompared with the normal group， the model group showed slow swimming （P<0.01）， extended total swimming distance （P<0.05）， prolonged latency （P<0.01）， and decreased crossing number （P<0.01）. The modeling inhibited the expression of PSD-95 and SYN in the CA1 region of the hippocampus （P<0.01）， with the weakest staining effect and the smallest region， decreased the intersections of hippocampal neuron dendrites with concentric circles at the concentric distance of 100， 140， 180， and 200 μm from the cell body （P<0.01）， and reduced the length and density of dendritic spine （P<0.01）. In addition， the modeling up-regulated the mRNA levels of mTOR and p70S6K and the protein levels of p-mTOR and p-p70S6K （P<0.01） and down-regulated the mRNA level of 4EBP2 and the protein levels of 4EBP2 and p-4EBP2 （P<0.01）. Compared with the model group， low- and high-dose Shouwuwan increased the average swimming speed （P<0.01）， shortened the latency （P<0.01）， increased the crossing number （P<0.01）， promoted the expression of PSD-95 and SYN in the hippocampal CA1 region （P<0.01）， increased the intersections between hippocampal neuronal dendrites and concentric circles at the concentric distance of 100， 140， 180，200 μm from the cell body （P<0.01）， and increased the number， length， and density of dendritic spine （P<0.01）. Furthermore， Shouwuwan down-regulated the protein levels of p-mTOR and p-p70S6K （P<0.01）， up-regulated the protein levels of 4EBP2 and p-4EBP2 （P<0.05，P<0.01）， down-regulated the mRNA levels of mTOR and p70S6K （P<0.01）， and up-regulated the mRNA level of 4EBP2 （P<0.01）. ConclusionShouwuwan can improve the learning and memory ability of rats exposed to D-galactose， promote the expression of proteins associated with synaptic plasticity， improve the morphology of neurons， repair neural function， reduce neuronal apoptosis， and inhibit mTOR signaling pathway to delay brain aging.
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Objective@#Empirical findings confirmed that autistic and schizotypal traits are associated with attentional function as well as include various dimensions. So far, no study has reported which dimension of these traits relates to attentional networks. This study aimed to find out whether there are associations between attentional networks and autistic traits; and between attentional networks and schizotypal traits. @*Methods@#A total of 449 volunteers was included in this study, and autism-spectrum quotient (AQ), schizotypal personality questionnaire (SPQ), and attention network test (ANT) were used to measure autistic traits and schizotypal traits. The three independent attentional networks, including alerting network, orienting network, and executive control network, were also measured. @*Results@#Autistic traits were associated with the orienting network, whereas schizotypal traits were associated with the orienting network and executive control network. Furthermore, attentional networks could be predicted by specific dimensions of autistic and schizotypal traits. AQ-attention switching [0.104 (-1.175– -0.025), p=0.041] and AQ-attention to detail [-0.097 (-0.798– -0.001), p=0.049] were significant predictors of orienting network and gender were significant predictor of executive network (Beta=0.107; 95% CI=-0.476–10.139; p=0.031). Whereas, schizotypal dimension “interpersonal” was a significant predictor of all three attentional networks [Alerting: 0.147 (-0.010–0.861), p=0.045; Orienting: 0.147 (0.018–0.733), p=0.040; Executive: 0.198 (0.215–1.309), p=0.006]. @*Conclusion@#This study demonstrated that autistic and schizotypal traits were associated with attentional networks. The specific dimensions of autistic and schizotypal traits could predict attentional networks. Nevertheless, the attentional networks predicted with these two traits were different.
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Objective@#Empirical findings confirmed that autistic and schizotypal traits are associated with attentional function as well as include various dimensions. So far, no study has reported which dimension of these traits relates to attentional networks. This study aimed to find out whether there are associations between attentional networks and autistic traits; and between attentional networks and schizotypal traits. @*Methods@#A total of 449 volunteers was included in this study, and autism-spectrum quotient (AQ), schizotypal personality questionnaire (SPQ), and attention network test (ANT) were used to measure autistic traits and schizotypal traits. The three independent attentional networks, including alerting network, orienting network, and executive control network, were also measured. @*Results@#Autistic traits were associated with the orienting network, whereas schizotypal traits were associated with the orienting network and executive control network. Furthermore, attentional networks could be predicted by specific dimensions of autistic and schizotypal traits. AQ-attention switching [0.104 (-1.175– -0.025), p=0.041] and AQ-attention to detail [-0.097 (-0.798– -0.001), p=0.049] were significant predictors of orienting network and gender were significant predictor of executive network (Beta=0.107; 95% CI=-0.476–10.139; p=0.031). Whereas, schizotypal dimension “interpersonal” was a significant predictor of all three attentional networks [Alerting: 0.147 (-0.010–0.861), p=0.045; Orienting: 0.147 (0.018–0.733), p=0.040; Executive: 0.198 (0.215–1.309), p=0.006]. @*Conclusion@#This study demonstrated that autistic and schizotypal traits were associated with attentional networks. The specific dimensions of autistic and schizotypal traits could predict attentional networks. Nevertheless, the attentional networks predicted with these two traits were different.
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Objective To detect the plasma level of tissue factor (TF) in non-small cell lung cancer (NSCLC) patients,and to discuss its association with hypercoagulation,venous thromboembolism and prognosis of lung cancer.Methods Sixty-one impatients in our hospital with confirmed lung cancer were enrolled as the study group.Thirteen patients with benign pulmonary diseases and 14 healthy volunteers were selected as the control groups.Bseline and follow-up clinical data were collected from participants.Enzyme-linked immunosorbent assay (ELISA) was used to detect the levels of TF in plasma of all subjects.Results The levels of TF in plasma from NSCLC patients and participants with benign pulmonary diseases was significantly higher than that in healthy controls((550.88 ± 201.58) ng/L vs (510.77 ± 201.20) ng/L vs (178.34 ±66.73) ng/L,P ＜0.05).According to the plasma levels of TF,which have been detected in all subjects,the patients were divided into two groups:low level group (range from 103.73 ng/L to 476.22 ng/L) and high level group (range from 476.221 ng/L to 1003.00 ng/L).Statistical analysis showed that there was a positive correlation between plasma TF levels and TNM stages in NSCLC patients (P =0.026).Patient with metastasis had a higher plasma TF level than other patients (P =0.020).The log-rank test revealed that there was no significant difference in survival between the high level group and low level group (x2 =0.145,P =0.704).Multivariate Cox proportional hazards regression analysis indicated that plasma TF levels did not predicted for death(RR =1.001,95％CI0.998-1.004,P=0.452).Conclusion The plasma TF level in NSCLC patients was correlated with TNM stages;it had no significant relationship with hypercoagulation state and survival rate in NSCLC patients.Limitations should be aware of while evaluating the clinical course and prediction of prognosis of NSCLC patients using plasma TF levels.