This study aims to investigate the effects of Pulsatilla powder(PP)on colonic intestinal flora and tryptophan metabolism in piglets with diarrhea.Twenty-four weaned piglets were ran-domly divided into the normal control group,model group,self-healing group,and PP group.The model of piglet diarrhea was established by the compound factor of external evil+internal injury+epi-demic virus,and treated with PP.During the modeling period,the body weight,mental status and fecal patterns of piglets were monitored daily.After the experiment,the colon tissues were collect-ed for histopathological observation,and the inflammatory factors IL-1β and IL-6 in the colon tis-sue was detected by ELISA,16S rRNA was used to analyze colonic intestinal flora and RT-qPCR was used to determine the expression of genes related to tryptophan metabolism in the colon.The results showed that,compared with the model group,PP significantly improved the pathological status of the colon in piglets with diarrhea,with elevated body mass and a significant increase in goblet cells(P＜0.05);and significantly reduced the levels of IL-1β and IL-6 in the colon of diar-rhea piglets(P＜0.05).The results of intestinal flora showed that PP increased the abundance of Firmicutes(P＜0.01),Spirochaeota(P＜0.01)and Lactobacillus(P＜0.05),reduced the abun-dance of Bacteroidota(P＜0.05)、Prevotella_NK3B31_group(P＜0.05)and Clostridium_sensu_stricto 1(P＜0.01).Meanwhile,PP significantly reduced the expression level of TPH1 mRNA(P＜0.05),increased the expression levels of AhR(P＜0.05)and IL-22 mRNA in the co-lon of diarrhea piglets.These results indicates that PP may alleviate diarrhea in piglets by regula-ting colonic intestinal flora and genes related to intestinal tryptophan metabolism.This study pro-vides data support for the subsequent investigation of piglet diarrhea prevention and treatment.

Objective To investigate the value of whole lung CT radiomics combined with clinical and conventional CT features for differentiating non-tuberculous mycobacterial pulmonary disease(NTM-PD)and pulmonary tuberculosis(PTB).Methods Fifty-three NTM-PD(NTM-PD group)and 111 PTB(PTB group)patients diagnosed by mycobacteria culture were retrospectively collected.The patients were divided into training set(n=115,including 37 cases of NTM-PD and 78 cases of PTB)and test set(n=49,including 16 cases of NTM-PD and 33 cases of PTB)at the ratio of 7∶3.Patients'clinical and pulmonary CT manifestations of lesions were analyzed using univariate and multivariate logistic regression,and the independent impact factors for differentiating NTM-PD and PTB lesions were screened.The best radiomics features were extracted and screened based on whole lung CT.Based on independent impact factors,the best radiomics features and their combination,clinical-CT,radiomics and combined models were constructed with random forest,and the differential efficacy of each model was evaluated.Results Patients'age(OR=0.264),gender(OR=0.956),immunoglobulin G(OR=3.416),C reactive protein(OR=3.418)and bronchiectasis shown on CT(OR=0.285)were all independent impact factors for differentiating NTM-PD and PTB.Twelve best radiomics features were screened based on whole lung ROI.The AUC of combined model in training set and test set was 0.915 and 0.901,respectively,both higher than that of clinical model(AUC=0.832,0.801,Z=1.340,3.710,both P＜0.05)and radiomics model(AUC=0.877,0.821,Z=-2.520,-5.240,both P＜0.05).Conclusion Whole lung CT radiomics combined with clinical and conventional CT features could effectively distinguish NTM-PD and PTB.

This study aims to investigate the effects of Pulsatilla powder(PP)on colonic intestinal flora and tryptophan metabolism in piglets with diarrhea.Twenty-four weaned piglets were ran-domly divided into the normal control group,model group,self-healing group,and PP group.The model of piglet diarrhea was established by the compound factor of external evil+internal injury+epi-demic virus,and treated with PP.During the modeling period,the body weight,mental status and fecal patterns of piglets were monitored daily.After the experiment,the colon tissues were collect-ed for histopathological observation,and the inflammatory factors IL-1β and IL-6 in the colon tis-sue was detected by ELISA,16S rRNA was used to analyze colonic intestinal flora and RT-qPCR was used to determine the expression of genes related to tryptophan metabolism in the colon.The results showed that,compared with the model group,PP significantly improved the pathological status of the colon in piglets with diarrhea,with elevated body mass and a significant increase in goblet cells(P＜0.05);and significantly reduced the levels of IL-1β and IL-6 in the colon of diar-rhea piglets(P＜0.05).The results of intestinal flora showed that PP increased the abundance of Firmicutes(P＜0.01),Spirochaeota(P＜0.01)and Lactobacillus(P＜0.05),reduced the abun-dance of Bacteroidota(P＜0.05)、Prevotella_NK3B31_group(P＜0.05)and Clostridium_sensu_stricto 1(P＜0.01).Meanwhile,PP significantly reduced the expression level of TPH1 mRNA(P＜0.05),increased the expression levels of AhR(P＜0.05)and IL-22 mRNA in the co-lon of diarrhea piglets.These results indicates that PP may alleviate diarrhea in piglets by regula-ting colonic intestinal flora and genes related to intestinal tryptophan metabolism.This study pro-vides data support for the subsequent investigation of piglet diarrhea prevention and treatment.

Objective To investigate and analyze the current situation of the construction of Smart Hospital in the dis-trict-level hospital of Beijing,and to provide reference for thedistrict-level hospitals to promote the construction of Smart Hospitals.Methods A questionnaire survey was conducted in Beijing district-level hospitals,and the construc-tion of Smart Hospital was analyzed by descriptive statistical analysis.Results The overall construction rate of Beijing district-level hospitals smart service business function was 50.98％,and the overall average construction rate of hos-pital smart management business function was 46.72％.93.75％hospitals thought that the investment in Smart Hos-pital construction was insufficient.The functions of smart service and management in different grades and categories of hospitals were different.Conclusion In order to promote the construction of Smart Hospital in Beijingdistrict-level hospitals,we should improve the top-level system such as strategic planning for the construction of smart hospi-tals,increase the investment in hospital informatization and talent teams,strengthen the standardization of intercon-nection between different hospitals,enhance the sharing and utilization of medical data and information,and strengthen the application of new hospital technologies and hospital information security.

Objective To investigate and analyze the current situation of the construction of Smart Hospital in the dis-trict-level hospital of Beijing,and to provide reference for thedistrict-level hospitals to promote the construction of Smart Hospitals.Methods A questionnaire survey was conducted in Beijing district-level hospitals,and the construc-tion of Smart Hospital was analyzed by descriptive statistical analysis.Results The overall construction rate of Beijing district-level hospitals smart service business function was 50.98％,and the overall average construction rate of hos-pital smart management business function was 46.72％.93.75％hospitals thought that the investment in Smart Hos-pital construction was insufficient.The functions of smart service and management in different grades and categories of hospitals were different.Conclusion In order to promote the construction of Smart Hospital in Beijingdistrict-level hospitals,we should improve the top-level system such as strategic planning for the construction of smart hospi-tals,increase the investment in hospital informatization and talent teams,strengthen the standardization of intercon-nection between different hospitals,enhance the sharing and utilization of medical data and information,and strengthen the application of new hospital technologies and hospital information security.

Objective To investigate the value of whole lung CT radiomics combined with clinical and conventional CT features for differentiating non-tuberculous mycobacterial pulmonary disease(NTM-PD)and pulmonary tuberculosis(PTB).Methods Fifty-three NTM-PD(NTM-PD group)and 111 PTB(PTB group)patients diagnosed by mycobacteria culture were retrospectively collected.The patients were divided into training set(n=115,including 37 cases of NTM-PD and 78 cases of PTB)and test set(n=49,including 16 cases of NTM-PD and 33 cases of PTB)at the ratio of 7∶3.Patients'clinical and pulmonary CT manifestations of lesions were analyzed using univariate and multivariate logistic regression,and the independent impact factors for differentiating NTM-PD and PTB lesions were screened.The best radiomics features were extracted and screened based on whole lung CT.Based on independent impact factors,the best radiomics features and their combination,clinical-CT,radiomics and combined models were constructed with random forest,and the differential efficacy of each model was evaluated.Results Patients'age(OR=0.264),gender(OR=0.956),immunoglobulin G(OR=3.416),C reactive protein(OR=3.418)and bronchiectasis shown on CT(OR=0.285)were all independent impact factors for differentiating NTM-PD and PTB.Twelve best radiomics features were screened based on whole lung ROI.The AUC of combined model in training set and test set was 0.915 and 0.901,respectively,both higher than that of clinical model(AUC=0.832,0.801,Z=1.340,3.710,both P＜0.05)and radiomics model(AUC=0.877,0.821,Z=-2.520,-5.240,both P＜0.05).Conclusion Whole lung CT radiomics combined with clinical and conventional CT features could effectively distinguish NTM-PD and PTB.

Background::Growth retardation is a common complication of chronic kidney disease in children, which can be partially relieved after renal transplantation. This study aimed to develop and validate a predictive model for growth patterns of children with end-stage renal disease (ESRD) after kidney transplantation using machine learning algorithms based on genomic and clinical variables.Methods::A retrospective cohort of 110 children who received kidney transplants between May 2013 and September 2021 at the First Affiliated Hospital of Zhengzhou University were recruited for whole-exome sequencing (WES), and another 39 children who underwent transplant from October 2021 to March 2022 were enrolled for external validation. Based on previous studies, we comprehensively collected 729 height-related single-nucleotide polymorphisms (SNPs) in exon regions. Seven machine learning algorithms and 10-fold cross-validation analysis were employed for model construction.Results::The 110 children were divided into two groups according to change in height-for-age Z-score. After univariate analysis, age and 19 SNPs were incorporated into the model and validated. The random forest model showed the best prediction efficacy with an accuracy of 0.8125 and an area under curve (AUC) of 0.924, and also performed well in the external validation cohort (accuracy, 0.7949; AUC, 0.796). Conclusions::A model with good performance for predicting post-transplant growth patterns in children based on SNPs and clinical variables was constructed and validated using machine learning algorithms. The model is expected to guide clinicians in the management of children after renal transplantation, including the use of growth hormone, glucocorticoid withdrawal, and nutritional supplementation, to alleviate growth retardation in children with ESRD.

OBJECTIVE To study the protective effects of mangiferin against oxidative stress injury of myocardial cells induced by hydrogen peroxide （H2O2）， and its effects on the expression of nuclear factor of activated T cell cytoplasmic 4（NFATc4）. METHODS H9c2 myocardial cells were cultured in vitro and divided into blank group， H2O2 group， and 50， 100， 150 μmol/L mangiferin groups. Mangiferin groups were treated with different concentrations of mangiferin for 12 h， and then were subjected to H2O2 （200 μmol/L） stimulation for 12 hours together with the H2O2 group； relative survival rate was detected in each group， and the levels of superoxide dismutase （SOD）， catalase （CAT） and malondialdehyde （MDA） in cell supernatant and reactive oxygen species （ROS） in H9c2 cells were measured. Meanwhile， the expressions of apoptosis-related proteins [B cell lymphoma 2 （Bcl- 2）， Bcl-2 associated X protein （Bax）， cleaved caspase-3] and nuclear protein NFATc4 were determined. Furthermore， the NFATc4 interference sequence was transfected， and the effects of NFATc4 on oxidant stress indexes and apoptosis-related proteins in H2O2- induced myocardial cells were investigated. RESULTS Compared with blank group， relative cell viability， the levels of SOD and CAT， relative expression of Bcl-2 were decreased significantly， while the levels of MDA and ROS， relative expressions of Bax， cleaved caspase-3 and nuclear protein NFATc4 were increased significantly （P＜0.05 or P＜0.01）. Compared with the H2O2 group， the above indexes of 100 and 150 μmol/L mangiferin groups were reversed significantly （P＜0.05）. After the transfection of the NFATc4 interference sequence， the expression of nuclear protein NFATc4 was down-regulated significantly； the levels of MDA and SOD， the protein expressions of Bax and cleaved caspase-3 were all decreased/down-regulated significantly， while the levels of SOD and CAT， and the protein expression of Bcl-2 were all increased/up-regulated significantly， compared with H2O2 group （P＜ 0.05）. CONCLUSIONS Mangiferin can relieve H2O2-induced oxidative stress of H9c2 cells， reduce the apoptosis and inhibit the nuclear translocation of NFATc4， thereby alleviating myocardial cell damage； reducing the nuclear level of NFATc4 protein is related to reducing H2O2-induced oxidative stress and cell apoptosis.

Objective: To analyze the trajectory of drowning and road traffic injury mortality among children aged 5-14 years in China from 2008 to 2019. Methods: Mortality data of unintentional injuries were from the Mortality Surveillance Data Set of National Disease Surveillance System from 2009 to 2018 and grouped by regions, urban and rural areas, genders, and age groups. The trajectory model was used to analyze the trend of drowning and road traffic injury mortality with years. Results: The mortality of drowning and road traffic injury showed a similar trend. In the trajectory model of drowning mortality, east, middle and west rural boys and western urban boys of all ages belonged to the high mortality group. The moderate mortality group included eastern urban boys and western girls aged 5-9 years and also contained eastern and middle urban boys and western urban girls aged 10-14 years. The other combinations belonged to the low mortality group. In the trajectory model of road traffic injury mortality, western urban boys, all rural boys and western rural girls aged 5-9 years, middle and western rural boys and western urban boys aged 10-14 years belonged to the high mortality group. Eastern urban girls aged 5-9 years and 10-14 years belonged to the low mortality group. The other combinations belonged to the moderate mortality group. Conclusion: There are different groups in the trajectory model of drowning and road traffic injury mortality among children in China. Identifying the trajectory of injury mortality is helpful to carry out more targeted prevention in China.
Accidental Injuries ; Accidents, Traffic ; Child ; China/epidemiology* ; Drowning ; Female ; Humans ; Male ; Rural Population ; Urban Population ; Wounds and Injuries

The cultivation and production of cucumber are seriously affected by downy mildew caused by Pseudoperonospora cubensis. Downy mildew damages leaves, stems and inflorescences, and then reduces the yield and quality of cucumber. This review summarized the research advances in cucumber downy mildew, including pathogen detection and defense pathways, regulatory factors, mining of pathogens-resistant candidate genes, proteomic and genomic analysis, and development of QTL remarks. This review may facilitate clarifying the resistance mechanisms of cucumber to downy mildew.
Cucumis sativus/genetics* ; Oomycetes/genetics* ; Peronospora ; Plant Diseases/genetics* ; Proteomics