The studies on the antihypoxia mechanism of 18?-SGA were reported. The survival time of hypoxia mice were longer than those of the control after intraperitoneal injections of 14mg/kg or 21mg/kg of 18?-SGA ( Sodium 18?-glycyrrenetic acid). Changes of various physiological indications after administration of the drug were as follows: blood pH was risen; acidosis was relieved; and the partial pressure of oxygen in the mixed blood was decreaed. The blood thyroxine level remain unchanged. It suggests the utilization of oxygen by the tissues was strengthened.

Objective To explore the mechanism of apoptosis after cryotherapy on tumors.Methods (1) GL261 glioma cells (1×107 cell/10 μL) were injected into the subcutaneous one ofC57 mice to establish tumor-bearing mouse models;when the diameter of tumor reached to 15-20 mm,the mice were randomly divided into cryogenic treatment group and sham-operated group (n=1 0);mice in the cryogenic treatment group were given surgical cryotherapy,while those in the sham-operated group only performed surgery without cryotherapy.TUNEL was used to detect the cell apoptosis in glioma tissues 12 and 24 h after operation;and Western blotting was employed to detect the protein expressions of pro-caspase-8,pro-caspase-9 and poly-ADP-ribose polymerase (PARP).(2) GL261 glioma cells were divided into control group and one time cryogenic release group,and DMEM and one time of cryogenic release were given to the two groups,respectively;12 h after the treatment,TUNEL was used to observe the cell apoptosis in glioma tissues,and Western blotting was employed to detect the protein expressions.Results (1) TUNEL indicated that the cells in the S1 region of the glioma tissues from mice in the cryogenic treatment group were uniformly died;significant apoptosis was noted in cells of the S2 region at 12 h after treatment;while,24 h after treatment,S1 region still showed uniform necrosis,S2 region showed apoptotic regression,and S3 region showed new apoptosis at the target side.Western blotting indicated that pro-caspase-9 and PARP protein expressions at the S2 region were signficantly decreased as compared with those at the S1,S3 and S4 regions (P＜0.05),and pro-caspase-8 protein expression at the S3 region were signficantly reduced as compared with those at the S1,S2 and S4 regions in the cryogenic treatment group (P＜0.05).(2) TUNEL showed that significantly increased GL261 glioma cell apoptosis rate was noted in the one time cryogenic release group as compared with that in the control group (P＜0.05);Western blotting indicated that as compared with the control group,the cryogenic release group had significantly decreased pro-caspase-8 and pro-caspase-9 expressions (P＜0.05).Conclusion Cryogenic release or substances released from tumor tissues after cryoablation shows an effect on promoting apoptosis.

Objective:To analyze the clinical characteristics of patients with different types of coronavirus disease 2019 (COVID-19).Methods:A total of 272 eligible COVID-19 patients who were admitted to Guangzhou Eighth People′s Hospital, Guangzhou Medical University from January 22 to February 15, 2020 were retrospectively enrolled. General characteristics, the first laboratory examination and imaging data of these patients were collected. According to the clinical classification, there were 236 cases in non-severe group (mild+ common type) and 36 cases in severe group (severe+ critical type). Comparisons between groups were performed by t test, chi-square test or rank-sum test when appropriate. Results:There were 23 males and 13 females in the severe group, 103 males and 133 females in the non-severe group, and the difference was statistically significant ( χ2=5.149, P=0.023). The age of severe group was (60.5±11.2) years, which was higher than that of non-severe group (46.8±15.7) years. The difference was statistically significant ( t=6.43, P<0.01). The lymphocyte (LYM) count, platelet (PLT) count and arterial partial pressure of oxygen (PaO 2) in the severe group were 0.90(0.55, 1.10)×10 9/L, 170.00(143.50, 198.00)×10 9/L and 73.50(69.70, 83.00) mmHg(1 mmHg=0.133 kPa), respectively, which were all lower than those in the non-severe group (1.42(1.09, 1.95)×10 9/L, 187.00(148.00, 230.00)×10 9/L and 96.00(83.20, 108.00) mmHg, respectively). The differences were all statistically significant ( Z=5.59, 2.00 and 5.00, respectively, all P<0.05). The levels of creatine kinase (CK), aspartate aminotransferase (AST), lactate dehydrogenase (LDH), C reaction protein (CRP) and procalcitonin (PCT) in the severe group were 123.00(79.00, 212.00) U/L, 32.10(27.00, 47.40) U/L, 305.50(216.00, 396.00) U/L, 37.02(23.92, 63.66) mg/L and 0.09(0.05, 0.19) μg/L, respectively, which were all higher than those in the non-severe group (68.00(48.00, 103.00) U/L, 20.10(16.70, 26.20) U/L, 179.00(150.00, 222.00) U/L, 26.55(18.11, 36.96) mg/L and 0.04(0.03, 0.06) μg/L respectively), and the differences were all statistically significant ( Z=3.89, 5.60, 5.12, 2.85 and 5.43, respectively, all P<0.01). No significant differences were observed in white blood cell count, creatine kinase isoenzyme and blood lactate between the two groups ( Z=1.53, 0.41 and 1.00, respectively, all P>0.05). Conclusion:Gender, age, LYM count, PLT count, PaO 2, CK, AST, LDH, CRP and PCT could be used to provide reference for clinical classification of COVID-19 patients.

Non-small cell lung cancer is the main cause of cancer death in the world, and its incidence is increasing year by year, seriously endangering human health. Early non-small cell lung cancer is generally difficult to be detected based on symptoms and signs. Therefore, accurate pathological diagnosis and accurate prediction of prognosis are crucial for formulating the best treatment plan for non-small cell lung cancer patients and improving their survival. The application of artificial intelligence in the diagnosis and treatment of non-small cell lung cancer has shown good performance and great potential effect. This paper introduces the research progress of artificial intelligence in predicting the classification, staging, genomics and prognosis of non-small cell lung cancer.

Objective    To investigate the clinical effect of three-port Da Vinci robot-assisted radical resection of lung cancer. Methods    The clinical data of patients who underwent Da Vinci robot-assisted radical resection of lung cancer in the Second Department of Thoracic Surgery, the First Affiliated Hospital of Xiamen University from April 2021 to March 2022 were retrospectively analyzed. According to the number of surgical ports, they were divided into two groups: a three-port group (three-port Da Vinci robot-assisted radical resection of lung cancer), and a four-port group (traditional Da Vinci robot-assisted radical resection of lung cancer). The operation time, intraoperative bleeding, lymphadenectomy, total thoracic drainage, extubation time, postoperative complications and postoperative pain of the two groups were compared and analyzed. Results    A total of 58 patients were included, including 19 males and 39 females, aged 31-79 years. There were 21 patients in the three-port group, and 37 patients in the four-port group. The visual analogue scores on the first and third day after the operation were 4.33±1.20 points and 2.24±0.77 points in the three-port group, and 5.11±1.22 points and 2.78±1.06 points in the four-port group, and there were statistical differences between the two groups (P<0.05). There was no significant difference between the two groups in terms of operation time, intraoperative bleeding, lymph node dissection, postoperative thoracic drainage, time of thoracic tube insertion or postoperative complications (P>0.05). Conclusion    Three-port Da Vinci robot-assisted radical resection of lung cancer can reduce the postoperative pain without increasing the operation difficulty and complications, and can be widely used in  the clinical practice.

Cognitive impairment is one of the three primary symptoms of schizophrenic patients and shows important value in early detection and warning for high-risk individuals. To study the specifics of electroencephalogram (EEG) in patients with schizophrenia under the cognitive load, we collected EEG signals from 17 schizophrenic patients and 19 healthy controls, extracted signals of each band based on wavelet transform, calculated the characteristics of nonlinear dynamic and functional brain networks, and automatically classified the two groups of people by using a machine learning algorithm. Experimental results indicated that the correlation dimension and sample entropy showed significant differences in α, β, θ, and γ rhythm of the Fp1 and Fp2 electrodes between groups under the cognitive load. These results implied that the functional disruptions in the frontal lobe might be the important factors of cognitive impairments in schizophrenic patients. Further results of the automatic classification analysis indicated that the combination of nonlinear dynamics and functional brain network properties as the input characteristics of the classifier showed the best performance, with the accuracy of 76.77%, sensitivity of 72.09%, and specificity of 80.36%. The results of this study demonstrated that the combination of nonlinear dynamics and function brain network properties may be potential biomarkers for early screening and auxiliary diagnosis of schizophrenia.