1.Dynamic changes of mouse cardiac functions in early stage of sepsis induced by CLP
Tao LUO ; Yanping WANG ; Zhifei BI ; Liang YAN
Chinese Journal of Pathophysiology 1989;0(05):-
AIM:To detect the changes of cardiac functions of septic mice in the early stage of sepsis. METHODS:Health male Kunming mice were used in the study. The techniques of 2D,Mmode and Doppler echocardiography were applied to evaluate the cardiac functions before cecal ligation and puncture(CLP) as baseline and at time points of 12 h,24 h,36 h,48 h and 168 h after CLP. The mice survived for 168 h(7 d) were considered as survivals. RESULTS:Compared to the baseline at the time point of 24 h after CLP,the blood volumes of heart return decreased significantly in the early stage of sepsis induced by CLP. LVEDV reduced by 46%. Notable compensatory responses of the hearts in septic mice were observed,especially the systolic functions,in which LVEF and LVFS increased by 27% and 39% ,respectively. However,the compensatory responses of diastolic function were weaker than the systoles. E/A ratio and EDT decreased by 30% and 25% respectively at the time point of 24 h. CONCLUSION:The strong compensatory cardiac functions are one of the factors for supporting the septic animal to survive. Protection of the cardiac functions especially the diastoles is important in the treatment of septic patients.
2.Expression profile of microRNAs and bioinformatics analysis in human gastric cancer tissues
Yousheng HUANG ; Na JIE ; Yixin ZHANG ; Zhifei LUO ; Fenggui XUE
Chinese Journal of Clinical and Experimental Pathology 2017;33(6):591-595
This experiment was designed to investigate the expression profile of miRNAs (microRNA) in human gastric cancer tissues.Methods The expression profiles of miRNAs were compared between 3 pairs of GC and adjacent normal tissues using an Exiqon miRNA array,following which quantitative PCR (qPCR) was employed to confirm the results of the miRNA array,and 10 miRNAs were selected.Bioinformatics was used to analyze the biological function of the differentially expressed miRNAs and its target genes in gastric cancer.Results Compared with adjacent mucosal tissues,95 miRNAs were up-regulated and 16 miRNAs were down-regulated in GC (> 2 folds,P < 0.05).The qPCR results were consistent with microarray-based expression analysis (P =0.049).Furthermore,the online GO and pathway analysis revealed that miRNAs might involve RNA transcription,RNA metabolism,gene expression,gene silencing,and other biological functions in GC.Conclusion There is abnormal expression of miRNAs in gastric cancer,and the abnormal expression of miRNAs may be related to GC tumorigenesis.
3.Analysis of risk factors for lower extremity deep venous thrombosis in patients with type C pelvic fracture patients after internal fixation and construction of related nomogram model
Xuefeng LUO ; Zhifei YI ; Zengru XIE
Chongqing Medicine 2023;52(23):3583-3588,3593
Objective To investigate the risk factors of lower extremity deep venous thrombosis(DVT)after internal fixation in patients with type C pelvic fracture,and to establish a relevent nomogram model.Methods Atotal of 217 patients with type C pelvic fractures who were admitted to the Orthopedic Center of the hospital from January 2018 to January 2022 were included in the study.All patients underwent internal fixation.According to whether DVT of the lower extremities was formed after operation,they were divided into the DVT group and the non-DVT group(N-DVT).The general clinical data and preoperative in-flammatory factor expression levels of the two groups was compared.Multivariate analysis was used to obtain independent predictors of DVT formation after internal fixation in patients with type C pelvic fractures.The correlation between preoperative inflammatory factors and DVT formation after internal fixation in patients with type C pelvic fractures was analyzed.The relevant nomograph model was constructed,and the Bootstrap method and calibration curve were used to verify the nomograph model internally.The ROC curve and deci-sion curve for predicting DVT formation after internal fixation in patients with type C pelvic fracture were drawn,and the predictive efficiency and net rate of return of independent prediction and combined prediction were an-alyzed.Results Multivariate analysis showed that age,diabetes,preoperative tumor necrosis factor-α(TNF-α),traction and braking,and bed rest time were independent predictors of DVT formation after internal fixa-tion in patients with type C pelvic fractures(P<0.05).A nomograph model was constructed based on inde-pendent predictors to predict the formation of DVT after internal fixation in patients with type C pelvic frac-ture,and the C index of the distinguishing evaluation index of the nomogram model was 0.834(95%CI:0.812-0.924),the results of goodness of fit(H-L)test showed that the predicted value of DVT formation probability after internal fixation in patients with type C pelvic fracture was in good agreement with the actual observed value(P>0.05).ROC curve analysis and decision curve analysis showed that age,diabetes,TNF-α,traction and braking,bed rest time and combined prediction model had good predictive performance and net yield in predicting DVT formation after internal fixation in patients with type C pelvic fracture.Conclusion Age,diabetes,TNF-α,traction braking and bed rest time are independent predictors of DVT formation after internal fixation in pa-tients with type C pelvic fracture.The nomogram model based on the above independent predictors has a high value in predicting DVT formation after internal fixation in patients with type C pelvic fracture.
4. Epidemiology and etiology of hand, foot and mouth disease in Hunan province, 2008-2017
Wei HUANG ; Yu CHEN ; Kaiwei LUO ; Shanlu ZHAO ; Fan ZHANG ; Shuaifeng ZHOU ; Hong ZHANG ; Zhifei ZHAN
Chinese Journal of Experimental and Clinical Virology 2019;33(1):16-20
Objective:
To understand the epidemiologic characteristics and pathogen spectrum of hand, foot and mouth disease (HFMD) in Hunan Province during 2008—2017 and provide the basis for the prevention and control strategy of hand, foot and mouth disease.
Methods:
Collecting data from national disease reporting information system throughout 2008—2017, the descriptive epidemiological method were used to analyze the data of HFMD monitoring and the result of pathogenic agent detection.
Results:
A total of 1, 255, 530 HFMD cases were reported throughout 2008—2017, including 10097 severe cases and 394 deaths. The average annual attack rate is 190.38/100, 000. The peak incidence of HFMD occurred in summer and fall. The reported incidence is on the rise. The number of critically ill and the number of deaths is declining. Proportion of male cases was higher than that of females. The majority of the children were those under 5 years of age. Enterovirus (EV)-A71, coxsackievirus (CV)-A16 and other other EV positive cases accounted for 33.29%, 20.04% and 46.67% of laboratory diagnosed cases.
Conclusions
The epidemic of hand, foot and mouth disease in Hunan has obvious seasonal and population characteristics. There are different dominant pathogens causing HFMD in different years.