Objective To seek the ancients’ method for acupuncture treatment of epigastric pain and explore the ancients’ regularities in point selection for acupuncture treatment of this disease to provide a reference and basis for guidance of modern clinical treatment. Method Search words related to epigastric pain were established. A database was set up. Frequency analysis and data mining technique-associated rules were used to investigate the use frequencies of different acupoints and meridians, and regularities in acupoint combination in ancient acupuncture treatment of epigastric pain. Result In ancient acupuncture treatment of epigastric pain, the points more frequently used and more accepted were Zhongwan (CV12), Zusanli (ST36), Neiguan (PC6), Shangwan (CV13), Geshu (BL17), Gongsun (SP4) and Jianli (CV11). Meridian points were the main ones. The points of meridians going through the epigastrium were often selected. Acupoint combination was mainly based on syndrome differentiation-based point selection plus symptomatic point selection.

Objective To investigate the effect of cyclosporine A (CsA) on autophagylysosomal pathway in tubular epithelial cells.Methods Human renal tubular epithelial cell line (HK-2 cell) was treated with different concentrations (3,5 and 10 μmol/L) of CsA for 24 h.Then the viability and apoptosis of cells were measured by MTT assay or AnnexinV-PI staining followed by flow cytometry analysis,respectively.Autophagy-related protein LC3-Ⅱ and p62 were detected by immunofluorescence assay.Autophagic flux was analyzed in HK-2 cells transfected with a tandem mRFP-GFP fluorescent-tagged LC3 (ffLC3) plasmid by laser confocal microscope.The lysosomal degradation was evaluated by DQ-ovalbumin staining followed by flow cytometry analysis.Results The viability of HK-2 cells was significantly decreased with CsA stimulation when compared with control group (P ＜ 0.01),but the number of apoptotic cells was markedly increased by CsA treatment (P ＜ 0.05).Compared with the control group,different doses of CsA dramatically increased the expressions of LC3-Ⅱ (P ＜ 0.01) and p62 (P ＜ 0.05) in HK-2 cells.Moreover,HK-2 cells treated with CsA displayed a significant increase in autophagosomes but a marked decrease in autolysosomes.In HK-2 cells,exposured to CsA caused a decrease in lysosomal degradation by DQ-ovalbumin staining when compared with control group (P ＜ 0.01).Conclusion Blockade of autophagy via disrupting lysosome degradation may represent a novel mechanism of CsA-induced tubular epithelial cells injury.

Objective To observe the correlation between telomerase activity and apoptosis in HeLa cells induced by influenza viruses.Methods HeLa cells were observed in the electron microscope after they had been infected by influenza viruses type A1,B and an UV exposed strain respectively.Besides,Annexin V-FITC staining flow cytometry(FCM)and PCR-ELISA were used to detect cell apoptosis and telomerase activity in HeLa cells respectively.Results The maximal rate of apoptotic cells induced by influenza virus type B and A1 were 38.65% and 23.94% respectively(P

Urinary excretion of prostaglandin E2. (PGE2) and thromboxane B2 (TXB2, a stable metabolite of TXA2), atrial natriuretic peptide (ANP) and arginine vasopressin (AVP) in plasma were determined with radioimmunoassay in 30 healthy normal controls (NC) and 53 cirrhotic patients without asoites (n = 18), with ascites (n = 25) and with hepatorenal syndrome (HRS, n=10). All of four vasoactive substances in the group of cirrhotic patients without ascites were significantly higher than that in NG (P

Objective This study aimed to investigate the role of pyrroloquinoline quinone (PQQ) in repairing oxidative nerve cells,and to study the antioxidant capacity of PQQ on the oxidative damage of rats caused by apolexis,as well as the effects on learning and memory abilities of apolexis rats.Methods Oxidative damage of PC12 was induced by H2O2,and the repairing rate of PQQ on oxidative PC12 cells was tested by methylthiazolyldiphenyl-tetrazolium bromide assay kit.The 18-month-old male SD rats were administered PQQ (0,10,20,40 mg/kg).After 4 weeks,Morris water maze test was used to test the learning and memory ability.After 6 weeks,serum and brain tissue related indicators and antioxidant capacity were recorded.Results The survival rate of PC12 cells increased from 59.1％ to 90.5％ with 200 nmol/L PQQ.Compared with the apolexis model group,the latency of the PQQ group (20,40 mg/kg) was shortened in the Morris water maze experiment,the swimming distance was reduced,pass-through counts were increased,and the first secure platform pass-through was reduced.Meanwhile,the levels of malondialdehyde and lipofuscin in serum and brain tissue of PQQ group decreased,the levels of superoxide dismutase,glutathione peroxidase vitality,antioxidant capacity of PQQ group (20,40 mg/kg) were enhanced.Conclusion PQQ could repair the oxidative damage of nerve cells,and it was confirmed that PQQ could play the same antioxidant effect in body and brain,and increase the learning and memory ability of apolexis rats.

We report a case of asymptomatic COVID-19 infection in a pregnant woman in the third trimester with good maternal and infant outcomes. The patient was admitted to the Second People's Hospital of Hefei on February 11, 2020, because of a "positive novel coronavirus nucleic acid test result for one day" at 38 weeks of gestation. No abnormality was observed during her previous regular prenatal examinations. A throat swab sample was obtained from the patient four days before admission due to the diagnosis of COVID-19 infection in her husband and sister on the 14^th and 7^th day before her admission, and the new coronavirus nucleic acid test showed positive. The patient reported no discomfort before admission. Chest CT on the 3^rd after admission showed a small amount of bilateral pleural effusion. Irregular contractions occurred three days after admission and labor was considered to be imminent. An emergency cesarean section was performed and the patient delivered a live baby girl. No tests were performed on amniotic fluid, cord blood or placenta for new coronavirus nuclei acid. The patient was isolated from the infant without breastfeeding after surgery. All medical staff involved in the cesarean section were isolated after surgery. Neonatal peripheral blood and nasopharyngeal swabs were collected for the new coronavirus nucleic acid tests on the day of birth and one day of age respectively, and nasopharyngeal swabs and anal suabs were taken at nine days after birth. All test results were negative. The patient recovered well after surgery with stable vital signs. Chest CT on the 8^th after operation showed a small amount of bilateral pleural effusion, while the new coronavirus nucleic acid test results of the pharyngeal swabs were positive on the 11^th and 12^th day after operation. The throat swabs of all medical staff involved in the operation were negative 14 days after the operation. The mother and baby were discharged 14 days after the Cesarean section.

The control strategy of rehabilitation robots should not only adapt to patients with different levels of motor function but also encourage patients to participate voluntarily in rehabilitation training.However,existing control strategies usually consider only one of these aspects.This study proposes a voluntary and adaptive control strategy that solves both questions.Firstly,the controller switched to the corresponding working modes(including challenge,free,assistant,and robot-dominant modes)based on the trajectory tracking error of human-robot cooperative movement.To encourage patient participation,a musculoskeletal model was used to estimate the patient's active torque.The robot's output torque was designed as the product of the active torque and a coefficient,with the coefficient adaptively changing according to the working mode.Experiments were conducted on two healthy subjects and four hemiplegic patients using an ankle rehabilitation robot.The results showed that this controller not only provided adaptive the robot's output torque based on the movement performance of patients but also encouraged patients to complete movement tasks themselves.Therefore,the control strategy has high application value in the field of rehabilitation.

Shortcomings have been inherited in the traditional influenza early warning system, often expressed through the scope, accuracy on prediction and real-time performance of the monitor related programs. With the new round of scientific and technological revolution and the increasingly maturity of modern information system, related technology on influenza early warning has become the focus of research in this field, based on big data analysis technology. Using the traditional influenza surveillance and early warning system as reference, this paper summarizes the progress of influenza early warning research, based on the Internet, influencing factors, time and space trends, and risk assessment etc., to summarize the trends on the advantages, shortcomings and future development of big data, used in the early warning system on influenza.

Objective:To establish a new model for the prediction of severe outcomes of COVID-19 patients and provide more comprehensive, accurate and timely indicators for the early identification of severe COVID-19 patients.Methods:Based on the patients’ admission detection indicators, mild or severe status of COVID-19, and dynamic changes in admission indicators (the differences between indicators of two measurements) and other input variables, XGBoost method was applied to establish a prediction model to evaluate the risk of severe outcomes of the COVID-19 patients after admission. Follow up was done for the selected patients from admission to discharge, and their outcomes were observed to evaluate the predicted results of this model.Results:In the training set of 100 COVID-19 patients, six predictors with higher scores were screened and a prediction model was established. The high-risk range of the predictor variables was calculated as: blood oxygen saturation <94 %, peripheral white blood cells count >8.0×10 9, change in systolic blood pressure <-2.5 mmHg, heart rate >90 beats/min, multiple small patchy shadows, age >30 years, and change in heart rate <12.5 beats/min. The prediction sensitivity of the model based on the training set was 61.7 %, and the missed diagnosis rate was 38.3 %. The prediction sensitivity of the model based on the test set was 75.0 %, and the missed diagnosis rate was 25.0 %. Conclusions:Compared with the traditional prediction (i.e. using indicators from the first test at admission and the critical admission conditions to assess whether patients are in mild or severe status), the new model’s prediction additionally takes into account of the baseline physiological indicators and dynamic changes of COVID-19 patients, so it can predict the risk of severe outcomes in COVID-19 patients more comprehensively and accurately to reduce the missed diagnosis of severe COVID-19.

Objective:In the context of COVID-19 pandemic, the epidemic severities, non-pharmaceutical intervention intensities, individual behavior patterns and vaccination coverage vary with countries in the world. China has experienced a long period without indigenous cases, unfortunately, multi local outbreaks caused by imported cases and other factors have been reported, posing great challenges to COVID-19 prevention and control in China. Thus it is necessary to explore the mechanisms of the re-emerged COVID-19 epidemics and their differences.Methods:Based on susceptible exposed infectious recovered (SEIR) epidemic dynamics model, we developed a set of novel evolution equations which can describe the dynamic processes of integrated influence of interventions, vaccination coverage and individual behavior changes on the re-emergency of COVID-19 epidemic. We developed methods to calculate the optimal intervention intensity and vaccination rate at which the size of susceptible population can be reduced to less than threshold for the re-emergency of COVID-19 epidemic.Results:If strong interventions or super interventions are lifted too early, even a small cause can lead to the re-emergence of COVID-19 epidemic at different degrees. Moreover, the stronger the early control measures lifted are, the more severe the epidemic is. The individual behavior changes for the susceptibility to the epidemic and the enhancement or lifting of prevention and control measures are key factors to influence the incidence the multi outbreaks of COVID-19. The optimist early intervention measures and timely optimization of vaccination can not only prevent the re-emergency of COVID-19 epidemic, but also effectively lower the peak of the first wave of the epidemic and delay its arrival.Conclusion:The study revealed that factors for the re-emergence of COVID-19 epidemics included the intensity and lifting of interventions, the change of individual behavior to the response of the epidemic, external incentives and the transmissibility of COVID-19.