1.Inhibition of chloride channel currents in A549 cells by S2 protein of SARS coronavirus
Quanzhong CHANG ; Dehui HU ; Yushan ZHU
Medical Journal of Chinese People's Liberation Army 1983;0(05):-
Objective To study the effect of S2-protein from SARS coronavirus on the chloride channel currents in A549 cells and its possible cellular mechanisms. Methods The chloride channel currents were recorded in cultured A549 cells by using the whole-cell mode of patch clamp techniques. The experiments were divided into four groups: Control group: chloride channel currents were recorded in untreated A549 cells; S2 protein group: currents were recorded in A549 cells treated with S2 protein (final concentration 50?g/ml); calphostin C + S2 protein group: the effect of S2 protein on the currents in A549 cells pretreated with calphostin C (0.1mmol/L) for 10 minutes; SB203580+S2 protein group: the effect of S2 protein on the currents was examined with the solution containing SB203580 (20?mol/L). Results The currents of chloride channel in normal A549 cells showed outwardly rectifying properties and were insensitive to both TEA and amiloride, but were significantly inhibited both by SITS and DIDS (P
2.A Comparative Study of Drug and Psychotherapy in Treatment of Depressive Disorder
Zibin JIN ; Yushan CHANG ; Baorong SUN ; Yajun LIU
Chinese Journal of Clinical Psychology 2001;9(1):56-57,59
Objective: To compare effects of drug and psychotherapy in the treatment of depressive disorder. Methods: 63 depressive patients were randomly divided into two treatment groups: drug or psychotherapy. MMPI, SDSS and HAMD were used for assessing treatment effects on personality and social functions. Results: The effects of psychotherapy and drug were compatible for controlling symptoms of depression. Psychotherapy was superior to drug in preventing relapses, as well as improving cognitive and social functions. Conclusion: Psychotherapy should be applied to depressive patients. Dosage and duration of administering sedative antidepressants should be reduced in the treatment of depression.
3.Risk factors and antimicrobial susceptibilities of severe community-acquired Staphylococcus aureus infections in Ningbo
Yanzi CHANG ; Lipei QIU ; Yushan CUI ; Jun SUN ; Guosheng GAO
Chinese Journal of Clinical Infectious Diseases 2015;12(3):248-252
Objective To identify antimicrobial susceptibilities of community-acquired Staphylococcus aureus infections and the risk factors of severe infections.Methods Clinical data of 184 cases of community-acquired Staphylococcus aureus infections collected from 4 hospitals in Ningbo during May 2008 and May 2013 were reviewed.Microbial sensitivity test and virulence genes ( pvl and tst) detection were performed in clinical isolates, and SCCmec genotyping was performed in methicillin-resistant Staphylococcus aureus ( MRSA) strains.Binary logistic regression analysis was used to identify the risk factors for severe infections.Results Among 184 cases of community-acquired Staphylococcus aureus infections, 39 ( 21.20%) were severe cases. Staphylococcus aureus strains were highly resistant to penicillin, erythromycin and clindamycin, but more than 75% strains were sensitive to oxacillin, aminoglycosides, quinolones, rifampicin and vancomycin.Logistic regression analysis showed that advanced age (OR=1.024, 95%CI:1.005-1.043, P<0.05), malignant tumor (OR=15.288, 95%CI:1.609-145.229, P<0.05) , autoimmune diseases or long-term hormone therapy ( OR=12.102, 95%CI:2.082-70.338, P <0.01 ) were risk factors for severe community-acquired Staphylococcus aureus infections. Conclusions Strains isolated from the patients with community-acquired Staphylococcus aureus infections in Ningbo are usually sensitive to oxacillin, aminoglycosides, quinolones, rifampicin and vancomycin, which may be recommended for clinical use.Elder patients and those with malignant tumor, autoimmune diseases or long-term hormone therapy are more likely to develop severe Staphylococcus aureus infections.
4.Selection of optimal length and diameter of mini implant in two different forces: a three-dimensional finite element analysis.
Yingjuan LU ; Shaohai CHANG ; Hong WU ; Yansong YU ; Yushan YE ; Lanru CHANG ; Wei WANG
West China Journal of Stomatology 2014;32(1):85-90
OBJECTIVETo investigate the effect of different length and diameters on the stability of mini implant and to select optimal length and diameter using continuous variation of parameters.
METHODSTo perform 3-dimensional finite element analysis, finite element models of a maxilla, and mini implants with length of 6-12 mm and diameters of 1.2-2.0 mm were generated. Load of two different forces were applied to the head of mini implant. One type was horizontal force (HF), the other was composite force (CF). The maximum equivalent stress (Max EQV) in maxilla and the maximum displacement (Max DM) of mini implant were evaluated.
RESULTSThe Max EQV in maxilla and Max DM of mini implant decreased as length and diameter increased. When length was more than 9 mm, the evaluation indexes were small and had a less change. Datas indicated that diameter played a more important role in reducing target, and was a more effective parameter in reducing Max EQV when CF was loaded.
CONCLUSIONFrom biomechanical point of view, the choice of the length should not be more than 9 mm. When CF is loaded using the mini implant, diameter exceeding 1.2 mm are optimal design for mini implant.
Dental Implants ; Dental Stress Analysis ; Finite Element Analysis ; Humans ; Maxilla ; Stress, Mechanical
5.Differential diagnosis of brucellar spondylitis and tuberculous spondylitis based on FS-T2WI sequence combined with machine learning
Tuxunjiang PAHATI ; Laihong YANG ; Xiong HE ; Yushan CHANG ; Wenya LIU ; Yuwei XIA ; Hui GUO
Chinese Journal of Endemiology 2023;42(5):356-362
Objective:To investigate the performance of a predictive model based on fat suppression (FS)-T2WI sequence combined with machine learning in the differential diagnosis of brucellar spondylitis (BS) and tuberculous spondylitis (TS).Methods:The clinical and imaging data of 74 patients with BS and 81 patients with TS diagnosed clinically or pathologically in the First Affiliated Hospital of Xinjiang Medical University from January 2017 to January 2022 were retrospectively analyzed, and all patients underwent spinal magnetic resonance imaging (MRI) examination before treatment. Patients were randomly divided into a training group ( n = 123) and a testing group ( n = 32) in an 8 ∶ 2 allocation ratio, and radiomics feature extraction and dimensionality reduction analysis were performed on FS-T2WI sequence images. Four machine learning algorithms, including K-nearest neighbor (KNN), support vector machine (SVM), random forest (RF) and logistic regression (LR), were used to construct a radiomics model, and receiver operating characteristic (ROC) curve was used to analyze the differential diagnostic performance of each model for BS and TS. Results:A total of 1 409 radiomics features were extracted, and 7 related features were screened and included for identification of BS and TS, among which the Maximum2DDiameterColumn feature value showed a strong correlation, and there was a statistically significant difference between BS and TS patients ( P < 0.001). In the testing group, the area under the ROC curve (AUC) value of the SVM model for identifying BS and TS was 0.886, with a sensitivity of 0.53, a specificity of 0.88, and a diagnostic accuracy of 0.81; in the training group, the AUC value of the SVM model for identifying BS and TS was 0.811, the sensitivity was 0.68, the specificity was 0.72, and the diagnostic accuracy of the model was 0.78. Conclusion:The prediction model based on FS-T2WI sequence combined with machine learning can be used to identify BS and TS, and the diagnostic performance of SVM model is prominent and stable.
6.Study on quality control method of the roots and rhizoma of Toricellia angulata
Xue LI ; Yushan NIE ; Xue MA ; Yuan LU ; Chang YANG ; Yongjun LI ; Yonglin WANG
China Pharmacy 2024;35(1):21-26
OBJECTIVE To establish the quality control method for the roots and rhizoma of Toricellia angulata. METHODS The properties of the roots and rhizoma of T. angulata were observed and microscopic identification was conducted. The moisture, total ash, acid-insoluble ash and ethanol-soluble extract were examined according to the method stated in the 2020 edition of Chinese Pharmacopoeia (part Ⅳ). HPLC fingerprints of 11 batches of the roots and rhizoma of T. angulata were established, common peaks were identified and the similarity was evaluated by using the Similarity Evaluation System of Chromatographic Fingerprint of TCM (2012 edition). The contents of coniferin, syringin, chlorogenic acid, (+)-syringaresinol-O-β-D-glucopyranoside and syringaresinol were determined by HPLC. RESULTS The properties and microscopic identification of the roots and rhizoma of T. angulata were obvious. The average contents of moisture, total ash, acid-insoluble ash and ethanol-soluble extract were 7.54%, 2.18%, 0.15% and 7.81%, respectively. There were 16 common peaks marked in the HPLC fingerprints of 11 batches of the roots and rhizoma of T. angulata, with similarities of 0.856-0.960; five of them were identified, such as coniferin, syringin, chlorogenic acid, (+)-syringaresinol-O-β-D-glucopyranoside and syringaresinol. The contents of the above five components were 0.047 2-0.401 6, 0.836 8-8.697 9, 1.245 3-10.950 0, 0.139 0-0.437 8 and 0.016 4-0.635 3 mg/g, respectively. CONCLUSIONS The established method is stable and accurate, which can be used for the quality control of the roots and rhizoma of T. angulata. It is preliminarily proposed that the moisture in the roots and rhizoma of T. angulata is not more than 11.0%, the total ash is not more than 4.0%, the ethanol-soluble extract is not less than 5.0%, the contents of coniferin, syringin, chlorogenic acid, (+)-syringaresinol-O-β-D- glucopyranoside and syringaresinol are not less than 0.04,0.83, 1.24, 0.13, 0.01 mg/g, respectively.