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.

Acute variceal bleeding(AVB)is one of the most common complications in the patients with liver cirrhosis,seriously threatening the life safety of the patients.The application of transjugular intrahepatic portosystemic shunt(TIPS)in the treatment of AVB patients has become an important therapeutic approach.However,the selection of TIPS treatment timing has always been a challenging issue for clinical physicians.Priority TIPS treatment can improve the survival rate of high-risk patients and reduce the rebleeding rate,but its effectiveness for other patients remains unclear.Currently,elective TIPS treatment is still a second-line treatment regimen for preventing variceal rebleeding.This paper discussed from the angle of the priority TIPS,alternative TIPS and salvage TIPS in order to provide reference for the clinicians'decision-making and help to better grasp the timing selection and matters needing attention of TIPS treatment,thus enhancing the treatment efficacy and patients'survival rate.

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.

COVID-19 is a public health emergency currently. In this study, a scale-free network model is established based on the Spring Migration data in 2020.The cities is clustered into three different modules. The epidemic of the cities in the black module was the most serious, followed by the red and the cyan. The black module contains 9 cities in Zhejiang province and 8 cities in Guangdong province, most of them located in the southeast coastal economic belt. These cities should be the key cities for epidemic prevention and control.

COVID-19 is a public health emergency currently. In this study, a scale-free network model is established based on the Spring Migration data in 2020.The cities is clustered into three different modules. The epidemic of the cities in the black module was the most serious, followed by the red and the cyan. The black module contains 9 cities in Zhejiang province and 8 cities in Guangdong province, most of them located in the southeast coastal economic belt. These cities should be the key cities for epidemic prevention and control.

Objective:To establish a prediction model of acute gastrointestinal injury (AGI) above grade II in elderly patients with severe pneumonia, and to evaluate and validate the model internally.Methods:A retrospective analysis was performed on 268 patients aged >65 years with severe pneumonia admitted to the Second People′s Hospital of Hefei from June 2019 to May 2022 (207 cases in the training set and 61 cases in the verification set). Sixteen indicators, including age, sex, underlying disease, pneumonia Severity index (PSI) score, dosage of sedative and analgesic drugs, and mechanical ventilation time of all patients were collected. After logistic regression analysis in the training set, a model was established to predict AGI above grade Ⅱ in elderly patients with severe pneumonia. Receiver operating characteristic (ROC) curve was drawed and correction curve was used to evaluate the reliability of the model. The model was internally validated by validation set data.Results:Among 207 patients with severe pneumonia in the training set, 50 patients developed AGI above grade Ⅱ during treatment. The prediction model was established by logistic regression analysis as follows: When L=Sequential Organ Failure Assessment (SOFA)×0.181+ PSI score×0.066+ propofol dosage×0.607+ reifentanil dosage×1.187, L>19.288, it can be considered that patients with severe pneumonia have a 93.24% chance of developing grade Ⅱ or above AGI. The ROC curve showed that the model was well differentiated, AUC=0.960. H-L test indicated (χ 2=7.39, P=0.496>0.05) the model fit was good. The sensitivity and specificity of the model were 82.00% and 96.82% respectively. AUC=94.58% (sensitivity 81.25%, specificity 93.33%), H-L test indicated ( χ 2=4.51, P=0.808>0.05) the prediction accuracy was 90.16%. Conclusions:The prediction model for AGI after severe pneumonia in elderly patients can be used clinically to help predict the occurrence of AGI in elderly patients with multiple injuries.

Humans ; COVID-19 ; HIV Infections/drug therapy* ; Risk Factors

Tumor recurrence is one of the major life-threatening complications after liver transplantation for liver cancer. In addition to the common mechanisms underlying tumor recurrence, another unavoidable problem is that the immunosuppressive therapeutic regimen after transplantation could promote tumor recurrence and metastasis. Transplant oncology is an emerging field that addresses oncological challenges in transplantation. In this context, a comprehensive therapeutic management approach is required to balance the anti-tumor treatment and immunosuppressive status of recipients. Double-negative T cells (DNTs) are a cluster of heterogeneous cells mainly consisting of two subsets stratified by T cell receptor (TCR) type. Among them, TCRαβ⁺ DNTs are considered to induce immune suppression in immune-mediated diseases, while TCRγδ⁺ DNTs are widely recognized as tumor killers. As a composite cell therapy, healthy donor-derived DNTs can be propagated to therapeutic numbers in vitro and applied for the treatment of several malignancies without impairing normal tissues or being rejected by the host. In this work, we summarized the biological characteristics and functions of DNTs in oncology, immunology, and transplantation. Based on the multiple roles of DNTs, we propose that a new balance could be achieved in liver transplant oncology using them as an off-the-shelf adoptive cell therapy (ACT).
Humans ; T-Lymphocytes ; Immunotherapy, Adoptive ; Neoplasm Recurrence, Local ; Transplantation, Homologous ; Cell- and Tissue-Based Therapy