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1.
Article in Chinese | WPRIM | ID: wpr-912851

ABSTRACT

Objective: To explore whether acupuncture can improve sleep disturbance, cognitive impairment and emotional disorders caused by sleep deprivation, and its association with the attenuation of oxidative stress injury in prefrontal cortex. Methods: Fifty-two male Sprague-Dawley rats were randomly divided into a control group (n=10), a model group (n=14), a manual acupuncture (MA) group (n=14), and a sham-MA group (n=14). All the groups were established as sleep deprivation models via the modified multiple platform method, except for the control group. Rats in both the MA group and the sham-MA group received corresponding intervention, respectively. After modeling and intervention, the four groups received three behavioral tests, namely sleep monitoring, by comprehensive lab animal monitoring system (CLAMS), Morris water maze (MWM) test and open-field test (OFT), followed by oxygen free radical level test and Western blot (WB) detection for the expression levels of Bax and Bcl-2. Results: The MA group derived more sleep time within 24 h than either the model group or the sham-MA group (both P<0.05). On MWM orientation navigation test day 1, there were no significant differences in escape latency among the control, MA and sham-MA groups (P>0.05), and the escape latency was significantly shorter in these three groups than that in the model group (all P<0.05). On test day 4, the escape latency was markedly shorter in the MA group than that in either the model group or the sham-MA group (both P<0.05); meanwhile, the MA group showed significantly better performance compared with these two groups in space probe test (both P<0.05). In OFT, compared with the control group, there was a significant decline in the horizontal movement score in the other three groups (all P<0.05), and the decrease was more significant in the model group and the sham-MA group than that in the MA group (both P<0.05). The superoxide dismutase (SOD) content was markedly higher and the malondialdehyde (MDA) content was markedly lower in the MA group than those in the model group and the sham-MA group (all P<0.05). Compared with the model group and the sham-MA group, the expression of Bax was significantly lower and the expression of Bcl-2 was significantly higher in the MA group (all P<0.05). Conclusion: MA therapy can lengthen the sleep time in sleep-deprived rats and improve learning and memory impairments induced by sleep deprivation, and the underlying mechanism may be associated with the enhancement of antioxidant capacity in the prefrontal cortex and the inhibition of hippocampal neuronal apoptosis.

2.
Article in Chinese | WPRIM | ID: wpr-329289

ABSTRACT

When 85 cervical type spondylosis patients randomly lay on one's back and on one's right side the 8 different tresles and pillows. We survey indexes of the cervical spine anatomy, for example cervical arcs and angles of cervical spine and level line. We appraise relation of balance between different trestle or pillow and cervical spine. liquid needle-free injection, jet power, stagnation pressure


Subject(s)
Adult , Aged , Braces , Cervical Vertebrae , Equipment Design , Female , Humans , Male , Middle Aged , Spondylosis , Young Adult
3.
Article in Chinese | WPRIM | ID: wpr-841385

ABSTRACT

Objective: To elucidate and compare the parametric method and non-parametric method in estimation of the area under ROC curve, so as to provide a basis for their application in diagnosis assessment. Methods: The areas under ROC curves were estimated by parametric method of fitting binomial model and by non-parametric method of Mann-Witney statistics. The method was employed in the diagnostic tests of lung cancer. Results: By non-parametric methods, the areas under ROC curves of Cyfra21-1 and CEA were respectively 0.77 and 0.87 in the lung cancer diagnostic tests; by parametric methods, they were 0.78 and 0.87, respectively. It was indicated that when the sample size was large, the values of areas under ROC Curves were similar between parametric method and non-parametric method. Conclusion: Non-parametric method should be used to evaluate the area under ROC curve if the sample size is small, and for large sample size, the parametric method or nonparametric method should be chosen according to the actual situation.

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