ABSTRACT
Recent studies have found that in the development of epilepsy, cyclic adenosine monophosphate response element binding protein (CREB) may cause recurrent epilepsy by inhibiting the expression of γ-aminobutyric acid, resulting in neuron damage and weakened effect of antiepileptic drug targets. Antiepileptic drugs can not control the extent or frequency of seizures, and then the patients are in a persistent state, hence the development of drug-resistant epilepsy. Therefore, the mechanism of CREB leading to drug-resistant epilepsy was reviewed in this paper, hoping to provide ideas for the treatment of drug-resistant epilepsy patients.
ABSTRACT
BackgroundCoronavirus disease 2019 (COVID-19) has surprised the world since the beginning of 2020, and the rapid growth of COVID-19 is beyond the capability of doctors and hospitals that could deal in many areas. The chest computed tomography (CT) could be served as an effective tool in detection of COVID-19. It is valuable to develop automatic detection of COVID-19. Materials and MethodsThe collected dataset consisted of 1042 chest CT images (including 521 COVID-19, 397 healthy, 76 bacterial pneumonia and 48 SARS) obtained by exhaustively searching available data on the Internet. Then, these data are divided into three sets, referred to training set, validation set and testing set. Sixteen data augmentation operations are designed to enrich the training set in deep learning training phase. Multiple experiments were conducted to analyze the performance of the model in the detection of COVID-19 both in case of no noisy labels and noisy labels. The performance was assessed by the area under the receiver operating characteristic (AUC), sensitivity, specificity and accuracy. ResultsThe data augmentation operations on the training set are effective for improvement of the model performance. The area under the receiver operating characteristic curve is 0.9689 with (95% CI: 0.9308, 1) in case of no noisy labels for the classification of COVID-19 from heathy subject, while the per-exam sensitivity, specificity and accuracy for detecting COVID-19 in the independent testing set are 90.52%, 91.58% and 91.21%, respectively. In the classification of COVID-19 from other hybrid cases, the average AUC of the proposed model is 0.9222 with (95%CI: 0.8418, 1) if there are no noisy labels. The model is also robust when part of the training samples is marked incorrectly. The average AUC is 92.23% in the case of noisy labels of 10% in the training set. ConclusionA deep learning model with insufficient samples can be developed by using data augmentation in assisting medical workers in making quick and correct diagnosis of COVID-19.
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Objective To evaluate the expression and the relativity of PMS2,Akt1 and P-AktS473 protein in A2780,Caov3,C13* and ES2 ovarian cancer cell lines .Methods The expression of PMS2 ,Akt1 and P-Akt S473 protein in A2780 ,Caov3 ,C13*and ES2 ovarian cancer cells was detected by Western Blot .After treated with IGF-1 (Akt1 activator) and API-2 (specific Akt1 in-hibitor) ,Caov3 ,ES2 and A2780 cells were collected and the level of PMS2 was detected by Western Blot .Results PMS2 ,Akt1 and P-Akt S473 proteins were detected in all of the four ovarian cancer cell lines with varied expression levels ,and the activity of Akt1 was inversely related to PMS2 expression in ovarian cancer cells .Exposed to Akt kinase stimulator IGF-1 ,ES2 and Caov3 cells were detected with a dramatically PMS2 decreasing .Meanwhile ,the decreasing of PMS2 protein was time-dependent on IGF-1 .Treated with API-2 ,Akt kinase specific inhibitor ,A2780 was detected with PMS2 dramatically increasing ,and the increasing of PMS2 pro-tein was time-dependent on API-2 .Conclusion In ovarian cancer cells ,PMS2 expression could be directly regulated by activated Akt1 .
ABSTRACT
Objective To compare the efficacies of several commonly-used penetrating needling methods in treating post-stroke strephenopodia. Method Eighty-three patients with post-stroke strephenopodia were randomized into four groups, a control group intervened by conventional needling method (n=20), and the rest three groups were additionally intervened by different penetrating needling methods: penetrating group 1 [Qiuxu (GB40) towards Zhaohai (KI6), n=21], penetrating group 2 [Taibai (SP3) towards Shugu (BL65), n=21], and penetrating group 3 [Jiaoxin (KI8) towards Fuyang (BL59), n=21], to compare their effects on the function of ankle and lower extremity. Result The penetrating needling methods and conventional needling method all can significantly improve the function of ankle in patients with post-stroke strephenopodia (P 0.05). The penetrating needling methods and conventional needling method all can significantly improve the motor function of lower extremity in patients with post-stroke strephenopodia (P0.05). Conclusion Needling from Qiuxu towards Zhaohai and from Taibai towards Shugu can produce significant effects in improving ankle function and the motor function of lower extremity in patients with post-stroke strephenopodia, while needling from Jiaoxin to Fuyang doesn’t have notable advantage compared to the other penetrating needling methods and conventional needling method.
