1.Application of blended learning in Clinical Biochemistry
Jiaming FAN ; Qianyin LI ; Ling LI ; Lan ZHOU ; Xuemei ZHANG ; Yibing YIN ; Yujuan HE ; Yan ZHANG
Chinese Journal of Medical Education Research 2022;21(7):850-852
Objective:To explore the role of blended learning in the undergraduate teaching of Clinical Biochemistry. Methods:The Batch 2017 medical laboratory technology undergraduates ( n=134) were selected as research objects, and the effect and opinions of blended learning were statistically analyzed by questionnaire survey and online-offline platform data. SPSS 23.0 was used to conduct rank sum test. Results:The application of blended learning in the Clinical Biochemistry teaching affected the learning effect in an all-round way. The average score increased from 70 (64, 76) to 79 (71, 85), with statistical difference ( Z=6.69, P<0.001). Conclusion:The combined application of blended learning, problem-based learning, flipped classroom and formative assessment is conducive to teaching students in accordance with their aptitude and cultivating students' clinical thinking ability.
2.Development and validation of a prognostic model for survival in peritoneal dialysis patients
Ting CHEN ; Haibo LONG ; Qianyin HUANG ; Weidong ZHOU ; Yan ZHU ; Peilin LI ; Yihua CHEN ; Congwei LUO ; Fenfen PENG
Chinese Journal of Nephrology 2020;36(9):680-687
Objective:To develop and validate a nomogram for predicting the 1-and 3-year survival rates of patients receiving peritoneal dialysis.Methods:Patients who underwent peritoneal dialysis for the first time in Zhujiang hospital from January 1, 2010 to December 31, 2017 were enrolled. The patients from January 1, 2014 to December 31, 2017 were enrolled in a training dataset. Baseline clinical data were collected and the primary endpoint was all-cause death. Cox proportional hazard regression models were used to analyze risk factors affecting the survival rates. Nomograms were generated using the R rms package. The Harrell' concordance index (C-index), receiver operating characteristic curve and calibration curve were used to verify the performance of the model. Patients who underwent peritoneal dialysis from January 1, 2010 to December 31, 2013 were then selected to validate the external predictive accuracy of the prediction models.Results:The prediction cohort enrolled 457 patients, with a median follow-up time of 27.67(18.37, 39.22) months, and 64 patients (14.00%) died during follow-up. The 1-and 3-year cumulative survival rates were 96.4% and 83.0%. Multivariate analysis showed that aging (every 1 year old increase, HR=1.07, 95% CI 1.04-1.09, P<0.001), stroke ( HR=3.63, 95% CI 1.93-6.85, P<0.001), higher cholesterol (every 1 mmol/L increase, HR=1.51, 95% CI 1.20-1.89, P<0.001), higher neutrophil-to-lymphocyte ratio (every 1 increase, HR=1.12, 95% CI 1.05-1.20, P=0.001), and lower albumin ( HR=0.89, 95% CI 0.82-0.95, P=0.001) were independent risk factors affecting the survival rates of PD patients. The C-index of the prediction cohort and the validation cohort were 0.815(95% CI 0.765-0.865) and 0.804(95% CI 0.744-0.864, respectively). Both internally and externally verified calibration curves showed that the predicted results were close to the actual survival rates. Conclusion:Based on age, blood total cholesterol level, stroke history, and NLR, the prognosis prediction model of peritoneal dialysis patients established with nomogram can help predict the 1-year and 3-year survival rates of peritoneal dialysis patients.
3.PPP3CA silence regulates MET process, cell apoptosis, proliferation and migration in metanephric mesenchyme cells.
Yuping GU ; Lei CHEN ; Qianyin LI
Chinese Journal of Biotechnology 2020;36(10):2151-2161
Kidney is one of the most important organs of the body and the mammalian kidney development is essential for kidney unit formation. The key process of kidney development is metanephric development, where mesenchymal-epithelial transition (MET) plays a crucial role. Here we investigated the biological function of PPP3CA in metanephric mesenchyme (MM) cells. qRT-PCR and Western blotting were used to detect PPP3CA and MET makers expression in mK3, mK4 cells respectively at mRNA and protein level. Subsequently, PPP3CA was stably knocked down via lentivirus infection in mK4 cells. Flow cytometry, EdU/CCK-8 assay, wound healing assay were conducted to clarify the regulation of PPP3CA on cell apoptosis, proliferation and migration respectively. PPP3CA was expressed higher in epithelial-like mK4 cells than mesenchyme-like mK3 cells. Thus, PPP3CA was silenced in mK4 cells and PPP3CA deficiency promoted E-cadherin expression, cell apoptosis. Moreover, PPP3CA knock down attenuated cell proliferation and cell migration in mK4 cell. The underlying mechanism was associated with the dephosphorylation of PPP3CA on ERK1/2. Taken together, our results indicated that PPP3CA mediated MET process and cell behaviors of MM cells, providing new foundation for analyzing potential regulator in kidney development process.
Animals
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Apoptosis/genetics*
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Cell Line
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Cell Line, Tumor
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Cell Movement/genetics*
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Cell Proliferation/genetics*
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Epithelial-Mesenchymal Transition/genetics*
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Gene Silencing
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Mesenchymal Stem Cells/cytology*
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Mesoderm
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Mice