OBJECTIVE:To investigate the mechanism of saponin of Litchi(Sap.Lit)in reversing dexamethasone(DX)-in?duced insulin resistance(IR)in rats.METHODS:With DX-induced insulin resistant rat model,serum levels of total cholesterols(TC),triacylglycerol(TG),cortisol(Cort),fasting glucose(FSG),insulin(Fins),and index of insulin sensitivity(ISI)were detected2h after administration of drug.RESULTS:Sap.Lit reduced the levels of TC,TG,Cort,FSG,Fins(P

AIM:To explore a more accurate and reliable pathological model of the chronic bronchitis , which has improved from the former single-factor modeling method of the disease .METHODS:The mice in complex group were treated with lipopolysaccharide ( LPS) by tracheal injection on the 1st day and nasal drops on the 14th day, and from the 2nd day to 30th day, the animals were given passive smoking and sulfur dioxide ( SO2 ) inhalation ( except on the 14th day).The mice in SO2 group were exposed to SO2 2 min per day, while in smoking group, the mice were exposed to smoke for about 1 h per day (4 cigarettes each time until one pack of cigarettes were burning up ).In LPS group, the mice had tracheal injection of LPS on the 1st day and nasal drops of LPS on the 14th day and 30th day.Every modeling process las-ted for 30 days.After modeling, the improvement of chronic bronchitis model was evaluated by testing the general condi-tions of the mice , analyzing leukocyte count in bronchoalveolar lavage fluid ( BALF ) , and observing the morphological changes of the bronchial and lung tissues .RESULTS:After modeling, the mice in every model group experienced symp-toms including wet nose, cough, dry and lusterless hair, arched back and curled-up body, showing inactive, and slow down in response .The mice in complex group gained the lowest weight compared to other groups .From each model group , the inflammatory cells infiltrated evidently around the bronchial walls , especially in the bronchial cavity , and the mucilage secretion in the airway increased .The total number of leukocytes in BALF increased significantly in complex group .The in-flammatory cell count in the lung tissue indicated that the mice in complex group had significantly higher levels of inflamma -tory cell infiltration.Besides, the comparison between smoke group and LPS group was statistically significant .CONCLU-SION:Smoking, SO2 inhalation and LPS injection induce bronchial lung disease in mice , and the complex chronic bron-chitis mouse model is a better model with the pathological changes of bronchus , lung tissue and BALF , and pathogenesis of chronic bronchitis .

Objective To obtain a more accurate assessment of prognostic significance of NLR in ovarian cancer. Methods A systematic literature search was conducted using the electronic databases PubMed ,Web of Science,and Embase up to May 2016. Hazard ratio(HR)and odds ratio(OR)with 95% confidence interval (95%CI)were calculated. Statistical analysis was performed using Stata 12.0. Results 12 studies,consisting of 3 ,854 patients ,were selected in this meta-analysis. High NLR level was significantly associated with poorer overall survival(OS)(HR:1.69)and shorter progression free survival(PFS)(HR 1.63). Additionally,increased NLR was significantly correlated with advanced FIGO stage(OR 2.32),higher level of CA-125(OR 3.33),more extensive ascites(OR 3.54)as well as less chemotheraputic response(OR 0.53). Conclusions Elevated pretreat-ment NLR can serve as a predicative factor of poor prognosis for ovarian cancer.

OBJECTIVE:To provide reference for rational drug use and strengthen the management of adjuvant medication man-agement in the hospital. METHODS:1 080 and 860 discharged medical records of 12 Vitamins for injection were selected from our hospital during Jun.-Nov. 2014 (pre-special comment group,i.e. group A) and Jun.-Nov. 2015 (post-special comment group,i.e. group B),respectively. The application of 12 Vitamins for injection,hospitalization stay,drug cost and the incidence of ADR were compared before and after adjuvant medication special comment. RESULTS:After adjuvant medication special comments,the propor-tion of drug use of no indication,unsuitable solvent selection,irrational drug dosage,drug use of drug interaction and contraindica-tion,drug cost and the incidence of ADR in group B were all lower than in group A,with statistical significance(P<0.05). There was no statistical significance in hospitalization stay between 2 groups(P>0.05). CONCLUSIONS:Clinical pharmacists adopt adju-vant medication special comments to effectively standardize clinical application of 12 Vitamins for injection in our hospital.

Precise biomarker development is a key step in disease management. However, most of the published biomarkers were derived from a relatively small number of samples with supervised approaches. Recent advances in unsupervised machine learning promise to leverage very large data-sets for making better predictions of disease biomarkers. Denoising autoencoder (DA) is one of the unsupervised deep learning algorithms, which is a stochastic version of autoencoder techniques. The principle of DA is to force the hidden layer of autoencoder to capture more robust features by reconstructing a clean input from a corrupted one. Here, a DA model was applied to analyze inte-grated transcriptomic data from 13 published lung cancer studies, which consisted of 1916 human lung tissue samples. Using DA, we discovered a molecular signature composed of multiple genes for lung adenocarcinoma (ADC). In independent validation cohorts, the proposed molecular signature is proved to be an effective classifier for lung cancer histological subtypes. Also, this signature suc-cessfully predicts clinical outcome in lung ADC, which is independent of traditional prognostic fac-tors. More importantly, this signature exhibits a superior prognostic power compared with the other published prognostic genes. Our study suggests that unsupervised learning is helpful for bio-marker development in the era of precision medicine.

2019 novel coronavirus(2019-nCoV) outbreak is one of the public health emergency of international concern.Since the 2019-nCoV outbreak, China has been adopting strict prevention and control measures, and has achieved remarkable results in the initial stage of prevention and control.However, some imported cases and sporadic regional cases have been found, and even short-term regional epidemics have occurred, indicating that the preventing and control against the epidemic remains grim.With the change of the incidence proportion and the number of cases in children under 18 years old, some new special symptoms and complications have appeared in children patients.In addition, with the occurrence of virus mutation, it has not only attracted attention from all parties, but also proposed a new topic for the prevention and treatment of 2019-nCoV infection in children of China.Based on the second edition, the present consensus further summarizes the clinical characteristics and experience of children′s cases, and puts forward recommendations on the diagnostic criteria, laboratory examination, treatment, prevention and control of children′s cases for providing reference for further guidance of treatment of 2019-nCoV infection in children.

At present, severe acute respiratory syndrome coronavirus-2(SARS-CoV-2)infection is still rampant worldwide.As of September 10, 2021, there were about 222 million confirmed cases of corona virus disease 2019(COVID-19)and more than 4.6 million deaths worldwide.With the development of COVID-19 vaccines and the gradual vaccination worldwide, the increasing number of cases in children and unvaccinated young people has drawn attention.According to World Health Organization surveillance data, the proportion of COVID-19 infection cases in children gradually increased, and the proportion of cases in the age groups of under 5 years and 5-14 years increased from 1.0% and 2.5% in January 2020 to 2.0% and 8.7% in July 2021, respectively.At present, billions of adults have been vaccinated with various COVID-19 vaccines worldwide, and their protective effects including reducing infection and transmission, reducing severe disease and hospitalization, and reducing death, as well as high safety have been confirmed.Canada, the United States, Europe and other countries have approved the emergency COVID-19 vaccination in children and adolescents aged 12 to 17 years, and China has also approved the phased vaccination of COVID-19 vaccination in children and adolescents aged 3 to 17 years. For smooth advancement and implementation of COVID-19 vaccination in children, academic institutions, including National Clinical Research Center for Respiratory Diseases, National Center for Children′s Health, and The Society of Pediatrics, Chinese Medical Association organized relevant experts to reach this consensus on COVID-19 vaccination in children.

Objective:To estimate the effect of comorbid gestational diabetes mellitus (GDM) and depression on glucose metabolism and neonatal morphology.Methods:From March 2015 to October 2018, recruited 18 to 28 weeks pregnant women who met the criteria in the Hefei First People′s Hospital or First Affiliated Hospital of Anhui Medical University or Anhui Maternal and Child Health Hospital, including a total of 4 380 study subjects, of which the birth outcome information of 3 827 newborns were collected. The self-made questionnaire "Maternal Health Questionnaire for Hefei City" and Edinburgh Postpartum Depression Scale were used to obtain basic demographic characteristics and emotional state of depression. Data from the 75-g oral-glucose-tolerance test were obtained at 24-28 weeks of gestation. After delivery, delivery outcome information were collected from the hospital medical records. Covariance analysis was used to analyze the differences in glucose metabolism indicators and neonatal outcome indicators in pregnant women with different GDM and depression status. Multiple logistic regression model was used to analyze the correlation between GDM and depression, with different groups of GDM and depression status (no GDM and depression, simple depression, simple GDM, comorbid GDM and depression)as independent variables and whether they were large for gestational age as dependent variables. The interaction between GDM and depression was also analyzed.Results:The 4 380 pregnant women were (28.8±4.2) years old. The incidence of GDM was 19.5% (852/4 380), and the detection rates of depression in the second and third trimesters were 12.1% (526/4 380) and 12.3% (536/4 367). PG-1h and AUC in the comorbid GDM and depression group were significantly higher than those in the group with no GDM and depression ( P<0.05) and the single GDM group ( P<0.05). After adjusting for factors such as the childbirth age, education level, family′s main economic income, BMI before pregnancy, parity, number of physical activities, and weight gain during pregnancy, compared with the group with no GDM and depression, the RR(95% CI) of LGA occurred in the single depression group, the single GDM group and the comorbid group were 1.31(0.89-1.91), 1.51(1.14-2.00) and 2.43(1.29-4.57), respectively. Further analysis showed that the association between GDM pregnant women with depression and newborn LGA ［ RR (95% CI): 2.12 (1.01-4.49)］ was stronger than that between GDM pregnant women without depression and newborn LGA ［ RR (95% CI): 1.50 (1.12-1.99)］, the P interaction value was<0.05. Conclusion:The status of comorbid GDM and depression can impair glucose metabolism and increase the risk of LGA.

Objective:To estimate the effect of comorbid gestational diabetes mellitus (GDM) and depression on glucose metabolism and neonatal morphology.Methods:From March 2015 to October 2018, recruited 18 to 28 weeks pregnant women who met the criteria in the Hefei First People′s Hospital or First Affiliated Hospital of Anhui Medical University or Anhui Maternal and Child Health Hospital, including a total of 4 380 study subjects, of which the birth outcome information of 3 827 newborns were collected. The self-made questionnaire "Maternal Health Questionnaire for Hefei City" and Edinburgh Postpartum Depression Scale were used to obtain basic demographic characteristics and emotional state of depression. Data from the 75-g oral-glucose-tolerance test were obtained at 24-28 weeks of gestation. After delivery, delivery outcome information were collected from the hospital medical records. Covariance analysis was used to analyze the differences in glucose metabolism indicators and neonatal outcome indicators in pregnant women with different GDM and depression status. Multiple logistic regression model was used to analyze the correlation between GDM and depression, with different groups of GDM and depression status (no GDM and depression, simple depression, simple GDM, comorbid GDM and depression)as independent variables and whether they were large for gestational age as dependent variables. The interaction between GDM and depression was also analyzed.Results:The 4 380 pregnant women were (28.8±4.2) years old. The incidence of GDM was 19.5% (852/4 380), and the detection rates of depression in the second and third trimesters were 12.1% (526/4 380) and 12.3% (536/4 367). PG-1h and AUC in the comorbid GDM and depression group were significantly higher than those in the group with no GDM and depression ( P<0.05) and the single GDM group ( P<0.05). After adjusting for factors such as the childbirth age, education level, family′s main economic income, BMI before pregnancy, parity, number of physical activities, and weight gain during pregnancy, compared with the group with no GDM and depression, the RR(95% CI) of LGA occurred in the single depression group, the single GDM group and the comorbid group were 1.31(0.89-1.91), 1.51(1.14-2.00) and 2.43(1.29-4.57), respectively. Further analysis showed that the association between GDM pregnant women with depression and newborn LGA ［ RR (95% CI): 2.12 (1.01-4.49)］ was stronger than that between GDM pregnant women without depression and newborn LGA ［ RR (95% CI): 1.50 (1.12-1.99)］, the P interaction value was<0.05. Conclusion:The status of comorbid GDM and depression can impair glucose metabolism and increase the risk of LGA.

Objective:To compare the efficacy of the combination of abidol, lopinavir/ritonavir plus recombinant interferon α-2b (rIFNα-2b) and the combination of lopinavir/ritonavir plus rIFNα-2b for patients with COVID-19 in Zhejiang province.Methods:A multicenter prospective study was carried out to compare the efficacy of triple combination antiviral therapy and dual combination antiviral therapy in 15 medical institutions of Zhejiang province during January 22 to February 16, 2020. All patients were treated with rIFNα-2b (5 million U, 2 times/d) aerosol inhalation, in addition 196 patients were treated with abidol (200 mg, 3 times/d) + lopinavir/ritonavir (2 tablets, 1 time/12 h) (triple combination group) and 41 patients were treated with lopinavir/ritonavir (2 tablets, 1 time/12 h) (dual combination group). The patients who received triple combination antiviral therapy were further divided into three subgroups: <48 h, 3-5 d and >5 d according the time from the symptom onset to medication starting. The therapeutic efficacy was compared between triple combination group and dual combination group, and compared among 3 subgroups of patients receiving triple combination antiviral therapy. SPSS 17.0 software was used to analyze the data.Results:The virus nucleic acid-negative conversion time in respiratory tract specimens was (12.2±4.7) d in the triple combination group, which was shorter than that in the dual combination group [(15.0±5.0) d] ( t=6.159, P<0.01). The length of hospital stay in the triple combination group [12.0 (9.0, 17.0) d] was also shorter than that in the dual combination group [15.0 (10.0, 18.0) d] ( H=2.073, P<0.05). Compared with the antiviral treatment which was started within after the symptom onset of in the triple combination group, the time from the symptom onset to the viral negative conversion was 13.0 (10.0, 17.0), 17.0 (13.0, 22.0) and 21.0 (18.0, 24.0) d in subgroups of 48 h, 3-5 d and >5 d, respectively ( Z=32.983, P<0.01), while the time from antiviral therapy to viral negative conversion was (11.8±3.9), (13.5±5.1) and (11.2±4.3) d, respectively( Z=6.722, P<0.05). Conclusions:The triple combination antiviral therapy of abidol, lopinavir/litonavir and rIFNα-2b shows shorter viral shedding time and shorter hospitalization time, compared with the dual combination antiviral therapy; and the earlier starting triple combination antiviral therapy will result in better antiviral efficacy.