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Objective To construct risk prediction models of death or readmission in patients with acute heart failure(AHF)during the vulnerable phase based on machine learning algorithms and screen the optimal model.Methods A total of 651 AHF patients with admitted to Department of Cardiology of the Second Affiliated Hospital of Army Medical University from October 2019 to July 2021 were included.The clinical data consisting of admission vital signs,comorbidities and laboratory results were collected from electronic medical records.The composite endpoint was defined as all-cause death or readmission for worsening heart failure within 3 months after discharge.The patients were divided into a training set(521 patients)and a test set(130 patients)in a ratio of 8:2 through the simple random sampling.Six machine learning models were developed,including logistic regression(LR),random forest(RF),decision tree(DT),light gradient boosting machine(LGBM),extreme gradient boosting(XGBoost)and neural networks(NN).Receiver operating characteristic(ROC)curve and decision curve analysis(DCA)were used to evaluate the predictive performance and clinical benefit of the models.Shapley additive explanation(SHAP)was used to explain and evaluate the effect of different clinical characteristics on the models.Results A total of 651 AHF patients were included,of whom 203 patients(31.2%)died or were readmitted during the vulnerable phase.ROC curve analysis showed that the AUC values of the LR,RF,DT,LGBM,XGBoost and NN model were 0.707,0.756,0.616,0.677,0.768 and 0.681,respectively.The XGBoost model had the highest AUC value.DCA showed that the XGBoost model exhibited greater clinical net benefit compared with other models,with the best predictive performance.SHAP algorithm analysis showed that the clinical features that had the greatest impact on the output of the model were serum uric acid,D-dimer,mean arterial pressure,B-type natriuretic peptide,left atrial diameter,body mass index,and New York Heart Association(NYHA)classification.Conclusion The XGBoost model has the best predictive performance in predicting the risk of death or readmission of AHF patients during the vulnerable phase.
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Objective To investigate the effect and mechanism of Huanglian Jiedu Decoction in improving the itching symptoms of 1-chloro-2,4-dinitrobenzene(DNCB)-induced atopic dermatitis(AD)in mice.Methods Thirty-six Balb/c mice were randomly divided into normal group,model group,Dexamethasone(positive control,2.5 mg·kg-1)group and Huanglian Jiedu Decoction low-,medium-and high-dose groups(0.4,0.8 and 1.6 g·kg-1),6 mice in each group.After shaving the back of the mice,200 μL of DNCB solution was applied to the back of the mice for sensitisation(1%DNCB for 3 consecutive days)and excitation(1.5%DNCB,starting from the fourteenth day,excitation was performed once every 3 days for a total of 5 times).The stimulation and drug interventions were carried out simultaneously,and each group was administered by gavage at a set dose once daily for 14 days.The severity score of the skin lesions was calculated with reference to the Scoring Atopic Dermatitis(SCORAD),and the number of times the mice scratched within 20 minutes was recorded.The pathological changes of the lesions were observed by HE staining;mast cell infiltration was observed by toluidine blue staining;and the mRNA expression levels of thymic stromal lymphopoietin(TSLP),interleukin(IL)13,histamine H4 receptor(HRH4),and IL-31 in the lesions were detected by RT-qPCR.Results Compared with the normal group,the dorsal skin of the mice in the model group showed obvious erythema,mossification,crusting and epidermal shedding after DNCB excitation,and the severity score of the lesions was significantly increased(P＜0.001);the hyperkeratosis of epidermis,the thickness of spinous layer was significantly increased(P＜0.001),sponge oedema,and a large number of inflammatory cells infiltration was seen in the dermis;and the number of mast cells was significantly increased(P＜0.001);the times of scratches within 20 minutes was significantly increased(P＜0.01);and the mRNA expression levels of TSLP,IL-13,HRH4,and IL-31 in the skin lesion tissue were all significantly elevated(P＜0.05,P＜0.01).Compared with the model group,the skin lesions on the backs of mice in the low-,medium-and high-dose groups of Huanglian Jiedu Decoction were significantly improved,the mossy area was significantly reduced,the severity was significantly reduced,and the severity score of skin lesions was significantly reduced(P＜0.001),and the number of mast cells and the mRNA expression levels of IL-13,HRH4,and IL-31 were significantly reduced in the skin lesion tissues(P＜0.05,P＜0.01,P＜0.001);the thickness of the stratum spinosum was significantly reduced in the medium-and high-dose groups of Huanglian Jiedu Decoction(P＜0.001),and the number of inflammatory cells in the dermis was significantly reduced;the number of scratching in mice in the high-dose group of Huanglian Jiedu Decoction was significantly reduced within 20 minutes(P＜0.01),and the mRNA expression level of TSLP in the lesion tissue was significantly reduced(P＜0.05).Conclusion Huanglian Jiedu Decoction can alleviate itching symptoms in AD mice,and its mechanism of action may be related to repairing the skin barrier in AD mice,attenuating the infiltration of inflammatory cells and mast cells,and down-regulating the mRNA expressions of itch-associated factors TSLP,IL-13,IL-31 and HRH4 in skin tissues.
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With the modernization and internationalization of traditional Chinese medicine(TCM),the requirement for quality control has increased.The quality marker(Q-marker)is an important standard in this field and has been implemented with remarkable success in recent years.However,the establishment of Q-markers remains fragmented and the process lacks systematicity,resulting in inconsistent quality control and insufficient correlation with clinical efficacy and safety of TCM.This review introduces four multi-modal integrated approaches that contribute to the discovery of more comprehensive and accurate Q-markers,thus aiding in the establishment of new quality control patterns based on the characteristics and principles of TCM.These include the whole-process quality control strategy,chemical-activity-based screening method,efficacy,safety,and consistent combination strategy,and TCM theory-guided approach.Furthermore,methodologies and representative examples of these strategies are described,and important future directions and questions in this field are also proposed.
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【Objective】 To establish a routine screening method for unexpected antibodies of blood donors, analyze the results of centralized screening for unexpected antibody of blood donors in the blood center, and compare the cost of centralized and decentralized screening modes. 【Methods】 A total of 35 591 blood donors were screened for unexpected antibodies from March 31, 2021 to July 31, 2021, using microcolumn gel method. Unexpected antibody screening reactive samples were further confirmed by the Transfusion Research Institute of Shenzhen Blood Center, and the demographic characteristics were further determined through the analysis of unexpected antibody positive population. The direct cost and indirect cost of centralized and decentralized unexpected antibody screening mode were compared. 【Results】 Forty unexpected antibody positive samples were confirmed in Shenzhen, with the positive rate at 0.11%(40/35 591), among which MNS, Rh and Lewis system accounted for 35% (14/40), 32.5% (13/40) and 17.5% (7/40), respectively. Males and females accounted for 45% (18/40) and 55% (22/40), respectively (P0.05). Unexpected antibody screening in a centralized way saved about 1.16 million yuan per year. 【Conclusion】 It is necessary to carry out unexpected antibody screening for all blood donors, and centralized screening is more economical than decentralized screening.
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Objective@#To examine the effect of functional sports training on the development of spatial awareness in children aged 6-8 years old,to provide a reference to improve children s ability of spatial sense.@*Methods@#A class of 125 children aged 6-8 years from first, second, and third grades of an elementary school in Zhengzhou City were conveniently selected by stratified random sampling, who were divided into the experimental group ( n =62) and the control group ( n =63) by random number tables. The experimental group received functional sports intervention for 8 weeks,3 times a week,20 min each time, and the control group received traditional sports game program.@*Results@#After the intervention,the error values of depth perception, orientation perception, and space perception in the experimertal group of 6 and 7 year old children reduced by 1.98 cm, 2.88°, and 22.00 cm (6 year old children) and 1.61 cm, 2.34°, and 17.99 cm (7 year old children) compared with the control group, respectively. Compared with those in the control group of 8 year old after the intervention, and the differences were of statistical signifiance( t =-3.07, -2.94, -3.07 ; -3.25, -3.29, -3.15, P <0.01). There was no significant difference in the error values of depth perception, orientation perception and space perception between the experimental group and the control group after intervention ( P >0.05). In the experimental group, the error values of depth perception, orientation perception and space perception reduced by 2.30 cm, 3.88°, 28.05 cm (6 year old children), 2.16 cm, 2.15°, 17.45 cm (7 year old children) and 1.16 cm, 1.81°, 9.10 cm (8 year old children) in children aged 6-8 years after intervention, significant improvement were observed compared with before intervention ( t = 8.50 , 9.04, 7.35; 7.39, 10.30, 11.05; 4.67, 4.46, 14.14, P <0.01). Compared with before the intervention, children aged 6-8 in the control group only had significant differences in space perception( t =4.13, 6.71, 8.93, P <0.01).@*Conclusion@#Functional sports games can improve depth perception, orientation perception and spatial perception for children aged 6-8 years. It can be integrated into children s daily activities to play a positive role in promoting the healthy growth of children.
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Objective:To construct a prognosis associated micro RNA(miRNA) prediction model based on bioinformatics analysis and evaluate its application value in pancreatic cancer patients.Methods:The retrospective cohort study was conducted. The clinicopathological data of 171 pancreatic cancer patients from the Cancer Genome Atlas (TCGA) (https: //cancergenome.nih.gov/) between establishment of database and September 2017 were collected. There were 93 males and 78 females, aged from 35 to 88 years, with a median age of 65 years. Of the 171 patients, 64 had complete clinicopathological data. Patients were allocated into training dataset consisting of 123 patients and validation dataset consisting of 48 patients using the random sampling method, with a ratio of 7∶3. The training dataset was used to construct a prediction model, and the validation dataset was used to evaluate performance of the prediction model. Nine pairs of miRNA sequencing data (GSE41372) of pancreatic cancer and adjacent tissues were downloaded from Gene Expression Omnibus database. The candidate miRNAs were selected from differentially expressed miRNAs in pancreatic cancer and adjacent tissues for LASSO-COX regression analysis based on the patients of training dataset. A prognosis associated miRNA prediction model was constructed upon survival associated miRNAs which were selected from candidate differentially expressed miRNAs. The performance of prognosis associated miRNA prediction model was validated in training dataset and validation dataset, the accuracy of model was evaluated using the area under curve (AUC) of the receiver operating characteristic curves and the efficiency was evaluated using the consistency index (C-index). Observation indicarors: (1) survival of patients; (2) screening results of differentially expressed miRNAs; (3) construction of prognosis associated miRNA model; (4) validation of prognosis associated miRNA model; (5) comparison of clinicopathological factors in pancreatic cancer patients; (6) analysis of factors for prognosis of pancreatic cancer patients; (7) comparison of prediction performance between prognosis associated miRNA model and the eighth edition TNM staging. Measurement data with normal distribution were represented as Mean± SD, comparison between groups was analyzed by the student- t test, and comparison between multiple groups was analyzed by the AVONA. Measurement data with skewed data were represented as M (range), and comparison between groups was analyzed using the Mann-Whitney U test. Count data were described as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Ordinal data were analyzed using the rank sum test. Correlation analysis was conducted based on count data to mine the correlation between prognosis associated miRNA model and clinicopathological factors. COX univariate analysis and multivariate analysis were applied to evaluate correlation with the results described as hazard ratio ( HR) and 95% confidence interval ( CI). HR<1 indicated the factor as a protective factor, HR>1 indicated the factor as a risk factor, and HR equal to 1 indicated no influence on survival. The Kaplan-Meier method was used to draw survival curve and calculate survival rates, and the Log-rank test was used for survival analysis. Results:(1) Survival of patients: 123 patients in the training dataset were followed up for 31-2 141 days, with a median follow-up time of 449 days. The 3- and 5-year survival rates were 16.67% and 8.06%. Forty-eight patients in the validation dataset were followed up for 41-2 182 days, with a median follow-up time of 457 days. The 3- and 5-year survival rates were 15.63% and 9.68%. There was no significant difference in the 3- or 5-year survival rates between the two groups ( χ2=0.017, 0.068, P>0.05). (2) Screening results of differentially expressed miRNAs. Results of bioinformatics analysis showed that 102 candidate differentially expressed miRNAs were selected, of which 63 were up-regulated in tumor tissues while 39 were down-regulated. (3) Construction of prognosis associated miRNA model: of the 102 candidate differentially expressed miRNAs, 5 survival associated miRNAs were selected, including miR-21, miR-125a-5p, miR-744, miR-374b, miR-664. The differential expression patterns of pancreatic cancer to adjacent tissues were up-regulation, up-regulation, down-regulation, up-regulation, and down-regulation, respectively, with the fold change of 4.00, 3.43, 3.85, 2.62, and 2.35. A prognostic expression equation constructed based on 5 survival associated miRNAs = 0.454×miR-21 expression level-0.492×miR-125a-5p expression level-0.49×miR-744 expression level-0.419×miR-374b expression level-0.036×miR-664 expression level. (4) Validation of prognosis associated miRNA model: The C-index of prognosis associated miRNA model was 0.643 and 0.642 for the training dataset and validation dataset, respectively. (5) Comparison of clinicopathological factors in pancreatic cancer patients: results of COX analysis showed that the prognosis associated miRNA model was highly related with pathological T stage and location of pancreatic cancer ( Z=45.481, χ2=10.176, P<0.05). (6) Analysis of factors for prognosis of pancreatic cancer patients: results of univariate analysis showed that pathological N stage, radiotherapy, molecular targeted therapy, score of prognosis associated miRNA model were related factors for prognosis pf pancreatic cancer patients ( HR=2.471, 0.290, 0.172, 2.001, 95% CI: 1.012-6.032, 0.101-0.833, 0.082-0.364, 1.371-2.922, P<0.05). Results of multivariate analysis showed that molecular targeted therapy was an independent protective factor for prognosis of pancreatic cancer patients ( HR=0.261, 95% CI: 0.116-0.588, P<0.05) and score of prognosis associated miRNA model≥1.16 was an independent risk factor for prognosis of pancreatic cancer patients ( HR=1.608, 95% CI: 1.091-2.369, P<0.05). (7) Comparison of prediction performance between prognosis associated miRNA model and the eighth edition TNM staging: in the training dataset, there was a significant difference in the prediction probability for 3- and 5-year survival of pancreatic cancer patients between prognosis associated miRNA model and the eighth edition TNM staging ( Z=-1.671, -1.867, P<0.05). The AUC of the prognosis associated miRNA model and the eight edition TNM staging for 3- and 5-year survival prediction was 0.797, 0.935 and 0.737 , 0.703, with the 95% CI of 0.622-0.972, 0.828-1.042 and 0.571-0.904 , 0.456-0.951. The C-index was 0.643 and 0.534. In the validation dataset, there was a significant difference in the prediction probability for 3- and 5-year survival of pancreatic cancer patients between prognosis associated miRNA model and the eighth edition TNM staging ( Z=-1.729, -1.923, P<0.05). The AUC of the prognosis associated miRNA model and the eight edition TNM staging was 0.750, 0.873 and 0.721 , 0.703, with the 95% CI of 0.553-0.948, 0.720-1.025 and 0.553-0.889, 0.456-0.950, respectively. The C-index was 0.642 and 0.544. Conclusions:A prognosis associated miRNA prediction model can be constructed based on 5 survival associated miRNAs in pancreatic cancer patients, as a complementation to current TNM staging and other clinicopathological parameters, which provides individual and accurate prediction of survival for reference in the clinical treatment.
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Aim To synthesize 8-bromo-ethoxy Rhein and investigate its mechanisms and inhibition effect on hepatitis B surface antigen ( HBsAg ) and e antigen ( HBeAg) in HepG2.2.15 cells.Methods 8-bromo-ethoxy Rhein was synthesized based on the chemical structure of Rhein , and its structure was identified by IR,1 H-NMR and 13 C-NMR spectra.MTT assay was used to test the inhibitory effect of 8-bromo-ethoxy Rhein on HepG2.2.15 cells.After the cells treatment by 8-bromo-ethoxy Rhein , the HBsAg and HBeAg in cell supernatant were detected by ELISA .The expres-sion of hepatitis B virus X gene ( HBx) was detected by Western blot .The cell cycles were examined with flow cytometry.The intracellular free calcium concentration was detected by laser scanning confocal microscopy . Results The structure of 8-bromo-ethoxy Rhein was confirmed by IR,1 H-NMR and 13 C-NMR.MTT results showed that synthetic product and Rhein could inhibit the cell proliferation in HepG2.2.15 cells.After trea-ted with 8-bromo-ethoxy Rhein and Rhein for 72 h,the half inhibitory concentration 50%( IC50 ) was 14.29 mg? L-1 and 11.59 mg? L-1 , respectively .Using non-cytotoxic dose of 8-bromo-ethoxy Rhein , the inhibitory effect on HBsAg and HBeAg was gradually enhanced with increasing 8-bromo-ethoxy Rhein concentration . The inhibitory effect of synthetic product on hepatitis B virus was better than that of Rhein .8-bromo-ethoxy Rhein could down-regulate the expression of HBx , in-tracellular calcium ion concentration and block the hepatitis B virus ( HBV ) replication.Flow cytometry results showed 8-bromo-ethoxy Rhein didn′t affect the cell cycle .Conclusions Compare with Rhein , the synthesis of 8-bromo-ethoxy Rhein shows stronger inhi-bition on hepatitis B virus in HepG2.2.15, and its mechanisms may involve down-regulating the expres-sion of HBx and reducing calcium ion concentration .
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Objective To investigate the detection mode for those unpaid blood donors screening as positive HBsAg+ and/or positive anti-HCV could be permitted to recall again for re-detection under the regulation condition in order to determine whether or not regain their qualifications of donating blood and rejoin the blood donation again.Methods The unpaid blood donors preliminari-ly screening as positive HBsAg and/or positive anti-HCV in Shenzhen from Otcober 2007 to December 2013 and conforming to the rules for recalling to re-detection formulated by our center were analyzed and researched for conducting the feasibility discussion on the rejoin mode of unpaid blood donors.Results A total of 415 759 case-times of blood donation were conducted during 2007 ~2013.Among them,2 506 cases(0.60%)and 1 357 cases(0.33%)were screened as positive HBsAg or positive anti-HCV,respec-tively.The recall process of rejoin re-detection was initiated in 59 positive HBsAg donors and 16 positive anti-HCV donors with many times of blood donation.But only 31 positive HBsAg donors and 9 positive anti-HCV donors successfully completed the detec-tion items of re-detection process.Among them 29 positive HBsAg donor regained the qualifications of donating blood and 2 cases were shielded for the blood donation qualification due to unqualification in the following detection.All of the 9 recalled donators with positive anti-HCV regained the blood donation qualification.Conclusion Under present detection mode,the detection tech-nique of blood screening is hard to avoid the occurrence of false positive results caused by the reagents,instruments and personnel operating.In order to protect the donation qualifications of the unpaid blood donators,a set of scientific,reasonable and practical re-detection mode for rejoin of the blood donators should be established for protecting the limited blood donation resource.