1.Expression and purification of asprosin and its effects on cardiac function in mice
Liwen ZHU ; Yanzhen TAN ; Wenping LUO ; Wei YI
Acta Laboratorium Animalis Scientia Sinica 2017;25(4):368-372,379
Objective To purify asprosin protein expressed in Escherichia coli expression system and to study its effect on cardiac function.Methods Coding sequence of asprosin was obtained from GenBank.Codon optimization was performed according to the codon preference of E.coli.After gene synthesized, recombinant plasmid was made.Asprosin was then induced and purified by Ni-affinity purification.The mouse model of impaired cardiac function was established by ligating and relaxing the left anterior descending coronary artery.30 mice were randomly divided into 3 groups: sham operation group (sham), cardiac dysfunction group (MI/R) and cardiac dysfunction plus injection of recombinant asposin protein group (MI/R+rAsp).The left ventricular function was detected by echocardiography to determine the improving effect of recombinant asprosin protein on cardiac function.Results After prokaryotic expression and purification, the purity of the target protein was higher than 95%, and the endotoxin content was less than <0.1 EU/μg protein, which was suitable for cell and animal studies.After the recombinant asprosin protein was given, the left ventricular function of the mice was improved significantly (P<0.05).Conclusions Asprosin acts as a myocardial protective molecule to improve cardiac function.
2.Protective effect of growth differentiation factor 11 on myocardial injury in type II diabetic mice
Liqing JIANG ; Xiaowu WANG ; Yanzhen TAN ; Buying LI ; Jincheng LIU ; Weixun DUAN
Acta Laboratorium Animalis Scientia Sinica 2017;25(4):362-367
Objective To observe the protective effect of growth differentiation factor 11(GDF11) on myocardial injury and the changes of myocardial apoptosis in type 2 diabetic C57BL/6J mice.Methods Sixty male C57BL/6J mice weighing 20-25 g were randomly divided into three groups: control group (control), type 2 diabetes mellitus group (DM) and GDF11 intervention group (DM + GDF11).To establish mouse model of type 2 diabetes, the mice were fed with high fat and high sugar diet for 4 weeks, and i.p.injected consecutively three times of streptozotocin (STZ) in a dose of 60 mg/kg.After the continuous high-fat and high-sugar diet for 4 weeks, the cardiac function was detected by small animal ultrasound, TUNEL staining was used to detect the apoptosis in myocardium, and the expressions of cleaved-caspase-3, Bcl-2, Bax were measured.Results Diabetic injury significantly reduced the left ventricular ejection fraction and left ventricular short axis shortening rate, and increased myocardial apoptosis.Recombinant GDF11 protein significantly improved cardiac function and reduced myocardial apoptosis.Conclusions Exogenous GDF11 can significantly reduce myocardial apoptosis and improve heart function after diabetic injury.
3.The correlation study between PZA and anti-tuberculosis drug-induced liver injury
Hongjuan QIN ; Shouyong TAN ; Haobin KUANG ; Yanzhen CHEN ; Hong ZHANG ; Shengjing HUANG
The Journal of Practical Medicine 2016;32(12):1948-1951
Objective To study the correlation of PAZ with anti-tuberculosis treatment regimen and drug-induced liver injury in tuberculosis patients with HBV-DNA positive in order to provide an optimized treatment regimen. Methods from Jan 2013 to Dec 2014, 199 pulmonary tuberculosis with HBV-DNA positive patients and 103 pulmonary tuberculosis patients without HBV in our hospital were collected. They were assigned as follows:122 cases were anti tuberculosis treatment with antiviral therapy,64 cases were A(HRZE),58 cases were B (HRE). 77 cases were anti tuberculosis treatment but not antiviral therapy , 41 cases were C (HRZE), 36 cases were D(HRE) and 103 patients without HBV were E (HRZE, the contrast group). We had observed the liver injury for 2 months after the treatment. Results 1.Incidence of liver injury was 34.38% in group A , higher than the cases in group B(20.69%,P > 0.05). 2.Incidence of liver injury in group C was apparently higher than in group D (73.17% vs. 30.56%,P < 0.05). 3.Incidence of liver injury in group B was lower than group D (20.69% vs. 30.56%,P > 0.05)4.Incidence of liver injury in group A was lower than group C (34.38% vs. 73.17%,P < 0.05).5. Incidence of liver injury in group A was higher than group E (34.38% vs. 17.48%,P< 0.05)and there was no difference between group B and group E (20.69% vs. 17.48%,P> 0.05). Conclusion Although anti tuberculosis treatment combined with antiviral therapy can be partially reduce the incidence of liver injury and relieve the severity of liver injury in tuberculosis patients infected with HBV , but PZA toxicity to hepatocytes is a major risk factor for liver injury , and we need to change the treatment plan to reduce the occurrence of liver injury.
4.Effect of recombinant trichosanthin on proliferation of human cevical cancer Caski cells.
Pingping PENG ; Liming HUANG ; Yanlin WANG ; Chengcheng YOU ; Weihong CAO ; Huamei SONG ; Hanxing TAN ; Yanzhen WU
China Journal of Chinese Materia Medica 2011;36(18):2539-2542
OBJECTIVETo observe the effects of high expression of recombinant trichosanthin (rTCS) on the cell proliferation and cell cycle of human cervical cancer Caski cells.
METHODEukaryotic expression plasmid pcDNA3.1(-)/6His-TCS was constracted and stably transfected into Caski cells. RT-PCR,Western-blot were used to select the clones with rTCS high-expressing. Using pcDNA3.1(-)-transfected cells as the control, MTT assay and flowcytometry were used to elucidate the effects of rTCS high expression on cell growth and cycle regulation in Caski cells.
RESULTThe Caski cells with stable high expression of rTCS was successfully established, which could inhibit the cell growth (P<0.01) and arrest Caski cells in G1 and G2 phases (P<0.05) obviously.
CONCLUSIONHigh expression of rTCS can inhibit the growth of Caski cervical cancer cells, which might provide a new pathway for the therapy of cervical cancer.
Cell Cycle ; drug effects ; Cell Line, Tumor ; Cell Proliferation ; drug effects ; Female ; Humans ; Recombinant Proteins ; pharmacology ; Transfection ; methods ; Trichosanthin ; pharmacology ; Uterine Cervical Neoplasms ; pathology
5.Relationship between family resilience and mental health among military personnel:a cross lagged analysis
Kaiyuan JING ; Yanzhen YANG ; Shujuan SUN ; Yawen TAN ; Bingqing XUE ; Yijun ZHU ; Mengxue ZHAO
Journal of Army Medical University 2024;46(3):209-214
Objective To explore the causal relationship between family resilience and mental health in military personnel population.Methods A total of 204 military personnel were recruited from an army unit stationed in Western China with cluster convenience sampling.Family Resilience Scale(FRS)and Symptom Checklist 90(SCL-90)were used to survey them twice,in an interval of 4 months.Amos 26.0 was applied to construct a cross-lag model and analyze the data.Results After controlling mental symptoms from the first survey,family resilience in the first measure significantly predicted mental symptoms in the second measure(β=-0.14,P<0.05).After controlling for family resilience from the first survey,mental symptoms in the first measure significantly predicted family resilience in the second measure(β=-0.13,P<0.05).Conclusion The relationship between family resilience and mental health is mutually causal in military personnel,and one predicts the other one.Our findings highlight the key dimensions of the relationship between the two.
6. Construction of the model of clinical nursing post classification based on delicacy management
Anlie CAI ; Zhengjun BAO ; Jianghong TAN ; Yanzhen TIAN ; Lang WANG ; Hongxuan YAN ; Hongbin HUANG ; Juan LI
Chinese Journal of Hospital Administration 2019;35(12):1027-1031
Objective:
To construct and implement a calculation model of clinical nursing post classification.
Methods:
Between October to December 2018, head nurses of the hospital were screened as consultants, and Delphi method was used to determine the indicators, while the weights were assigned from the aspects of nursing workload, work quality, patient satisfaction and number of nursing night shifts. Combined with HIS data, the calculation model of clinical nursing post classification was constructed to classify clinical nursing units into different categories and levels.
Results:
After two rounds of expert enquiry, 82 nursing work items were identified and the objective weight assignment was determined ranging from 0.80 to16.14. According to the established calculation model and HIS data, nursing posts in clinical departments were classified into 6 levels and 3 categories, and the accurate management of clinical nursing post classification was achieved.
Conclusions
The construction of a calculation model is scientific and rigorous, which provides a scientific basis for dynamic nurse performance management and rational allocation of human resources. In addition, it provides a useful reference for accurate nursing management.