AIM:To investigate the effects and underlying mechanism of Toona sinensis bark extract(TAE)on the colon mucosal barrier and gut microbiota in mice with ulcerative colitis(UC)induced by dextran sulfate sodium(DSS).METHODS:Sixty C57BL/6J mice were randomly assigned to control,model,and mesalazine(0.2 g/kg)groups,as well as TAE groups(low,medium,and high-doses equal to crude drug concentrations of 2.3,4.6 and 9.2 g/kg,respectively).The UC model was induced by drinking of 2.5％DSS,and mean while the drugs were administered for 10 days.The mice were then evaluated in terms of weight,disease activity index(DAI),colon length,spleen index,and pathological changes in the colon tissues.In addition,the level of apoptosis in colon tissues was assessed by terminal de-oxynucleotidyl transferase dUTP nick-end labeling(TUNEL)fluorescence staining,and the expression of related proteins was evaluated by Western blot,levels of inflammatory factors were determined by enzyme-linked immunosorbent assays(ELISA),and the activities of total superoxide dismutase(T-SOD)and catalase(CAT)and malondialdehyde(MDA)content were assessed by biochemical assays.Furthermore,the constitution and diversity of the gut microbiota were inves-tigated by 16S rRNA gene sequencing.RESULTS:Compared with the control group,mice in the model group showed significantly reduced body weights(P<0.01),and the colon length was shortened significantly(P<0.05).Marked in-creases in the DAI and spleen index were observed(P<0.01),along with severe damage to the colon mucosa(P<0.01).Mechanistically,the level of intestinal epithelial cell apoptosis was significantly raised(P<0.01).The model group showed markedly reduced expression of occludin and claudin-1(P<0.01),the level of IL-10,and activities of T-SOD and CAT in the colon tissues(P<0.01).While the levels of IL-6,IL-1β,TNF-α,and the MDA content were increased signif-icantly(P<0.05).The abundance and diversity of the gut microbiota were decreased in the model group(P<0.05).Com-pared with the model group,all these indicators were ameliorated by the administration of TAE(P<0.05).The abundance of pathogenic bacteria,including Proteobacteria and Escherichia-Shigella,was decreased remarkably(P<0.05),while that of probiotics,including Bacteroidota and Muribaculaceae,were increased significantly(P<0.05).The abundance and diversity of the gut microbiota were increased.CONCLUSION:Taken together,Toona sinensis bark alcohol extract can alleviate damage to the intestinal mucosa by suppressing the apoptosis of intestinal epithelial cell,reducing the inflam-matory response,and mitigating oxidative stress.Treatment with TAE could also maintain the homeostasis of the gut micro-biota by regulating the abundance,ultimately meliorate the function of intestinal mucosal barrier.

Objective To construct an artificial intelligence assisted diagnosis model based on deep learning for dynamically recognizing gastric lesions and their locations under gastroscopy in real time,and to evaluate its ability to detect and recognize gastric lesions and their locations.Methods The gastroscopy videos of 104 patients in our hospital was retrospectively analyzed,and the video frames were manually annotated.The annotated picture frames of lesion category were divided into the training set and the validation set according to the ratio of 8∶2,and the annotated picture frames of location category were divided into the training set and the validation set according to the patient sources at the ratio of 8∶2.These sets were utilized for training and validating the respective models.YoloV4 model was used for the training of lesion recognition,and ResNet152 model was used for the training of location recognition.The accuracy,sensitivity,specificity,positive predictive value,negative predictive value and location recognition accuracy of the auxiliary diagnostic model were evaluated.Results A total of 68 351 image frames were annotated,with 54 872 frames used as the training set,including 41 692 frames for lesion categories and 13 180 frames for location categories.The validation set consisted of 13 479 frames,comprising 10 422 frames for lesion categories and 3 057 frames for location categories.The lesion recognition model achieved an overall accuracy of 98.8%,with a sensitivity of 96.6%,specificity of 99.3%,positive predictive value of 96.3%,and negative predictive value of 99.3% in validation set.Meanwhile,the location recognition model demonstrated an top-5 accuracy of 87.1% .Conclusion The artificial intelligence assisted diagnosis model based on deep learning for real-time dynamic recognition of gastric lesions and their locations under gastroscopy has good ability in lesion detection and location recognition,and has great clinical application prospects.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

OBJECTIVES: To explore the possible mechanism of Yunaconitine poisoning by studying the changes of urine metabolic profile in rats chronically poisoned by Yunaconitine via non-targeted metabolomics. METHODS: A rat model of Yunaconitine poisoning was established, and a metabolomics method based on UPLC-QTOF-MS technology was used to obtain the urine metabolic profile. Principal component analysis (PCA), orthogonal projections to latent structures-discriminant analysis (OPLS-DA), variable importance in projection (VIP) value greater than 1, fold change (FC) value greater than 3 or less than 0.33 and P value less than 0.05 were used to screen potential biomarkers related to the toxicity of Yunaconitine. The metabolic pathway analysis was performed through the MetaboAnalyst website and pathological changes of related tissues were observed. RESULTS: Sixteen potential biomarkers including L-isoleucine were screened, which mainly involved six metabolic pathways including the biosynthesis and degradation of valine, leucine and isoleucine, pentose and glucuronate interconversions, and propanoate metabolism, alanine, aspartate and glutamate metabolism, tyrosine metabolism. Pathological studies showed that rat toxic change in nervous system, liver and cardiac caused by Yunaconitine. CONCLUSIONS Yunaconitine may cause neurotoxicity, hepatotoxicity and cardiotoxicity by affecting amino acid and glucose metabolism.
Aconitine/analogs & derivatives* ; Animals ; Biomarkers/metabolism* ; Chromatography, High Pressure Liquid ; Metabolome ; Metabolomics ; Rats

Objective:To investigate the inhibitory effects of Danshen injection against ovarian cancer cell proliferation induced by the interaction between platelets and cancer cells. Method:The induction of platelets on SKOV3 growth in vitro and the inhibitory effect of Danshen injection at 12，24，and 48 g·L^-1 were observed by 3-（4，5-Dimethylthiazol-2-yl）-2，5-diphenyltetrazolium bromide （MTT） and cell colony formation assays. The content of transforming growth factor-β₁ （TGF-β₁） in the platelet-tumor cell interaction system and platelet supernatant and the effect of Danshen injection on TGF-β₁ secretion were detected by enzyme-linked immunosorbent assay （ELISA）. The influences of tumor cell culture supernatant on platelet aggregation and secretion and the inhibitory effect of Danshen injection were determined by microplate assay and ELISA. The effects of Danshen injection on platelet nuclear factor kappa B （NF-κB） signaling pathway were assayed by Western Blot. Result:Compared with the blank group， the platelet induction group exhibited significantly elevated absorbance at A₅₇₀ （P<0.01）， while the absorbance at A₅₇₀ in the platelet + Danshen injection group was significantly lower than that in the platelet induction group （P<0.01）. The comparison with the Danshen injection group revealed that the cell proliferation inhibitory rate in the platelet + Danshen injection group at the same dose was more significant （P<0.01）. The number of colonies in the platelet induction group was obviously increased in contrast to that in the blank group（P<0.05）， while the number of colonies in the platelet + Danshen injection group was significantly lower than that in the platelet induction group（P<0.05，P<0.01）. As demonstrated by comparison with the blank group， TGF-β₁ content in the supernatant of the platelet induction group rose remarkably（P<0.01）， whereas that in the platelet + Danshen injection group declined（P<0.01）. Compared with the Danshen injection （24 g·L^-1） group， the platelet + Danshen injection group displayed more obvious inhibition（P<0.01）. Compared with the blank group， Danshen injection significantly reduced the TGF-β₁ content in platelet supernatant（P<0.05，P<0.01）. There was no significant change in the content of TGF-β₁ in SKOV3 supernatant treated with Danshen injection. The platelet aggregation， thromboxane A₂（TXB₂）， and serotonin （5-HT） secretion in the SKOV3 cell supernatant induction group were significantly increased as compared with those in the blank group （P<0.01）， while such indexes in the cell supernatant induction + Danshen injection group were obviously decreased （P<0.01）. Compared with the Danshen injection （24 g·L^-1） group， the cell supernatant induction + Danshen injection group displayed more obvious inhibition at the same dose（P<0.01）. Compared with the blank group， the platelet induction group exhibited obviously up-regulated phosphorylated TGF-β-activated kinase-1 （TAK-1） and NF-κB， but down-regulated phosphorylated inhibitory protein of NF-κB （IκB）（P<0.01）， which however were significantly reversed in the platelet + Danshen injection group（P<0.01）. Conclusion:Danshen injection affect the proliferation of SKOV3 cells by inhibiting their interaction with platelets， which may be related to the inhibited secretion of TGF-β₁.

OBJECTIVE: To investigate the clinical characteristics of infection in children with acute myeloid leukemia (AML) after high intensive chemotherapy， so as to provide reference for prevention and control of infection. METHODS: 56 children diagnosed as acute myeloid leukemia in our hospital from January 2016 to August 2019 were enrolled and retrospectively analyzed, the infection rate, pathogens of disease and common location of infection during the induction and consolidation period were analyzed. RESULTS: The total infection rate of the patients was 93.4%－96.4%, the average of serious infection rate was 16.0%(11.3%－19.6%), and the infection related mortality was 10.7%. Fever of unknown cause was the main reason of infection, while blood flow infections were the most common in severe infection, which were mainly caused by Gramnegative bacteria. The rate of fungal infection was 35.7% during chemotherapy. CONCLUSION Children with AML shows a high incidence of infection in each stage of chemotherapy. The serious illness caused by blood flow infection and take antifungal drugs to reduce the occurrence of fungal infection in AML patients should be paid attention.
Antifungal Agents/therapeutic use* ; Child ; Fever/drug therapy* ; Humans ; Leukemia, Myeloid, Acute/drug therapy* ; Mycoses/drug therapy* ; Retrospective Studies

BACKGROUND: The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tumors. These categorizations are important for guiding clinical treatment. In this study, we aimed to develop a convolutional neural network (CNN) for classification of these four breast mass types using ultrasound (US) images. METHODS: Taking breast biopsy or pathological examinations as the reference standard, CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers. The patients were randomly divided into training and test groups (n = 1810 vs. n = 1813). Separate models were created for two-dimensional (2D) images only, 2D and color Doppler flow imaging (2D-CDFI), and 2D-CDFI and pulsed wave Doppler (2D-CDFI-PW) images. The performance of these three models was compared using sensitivity, specificity, area under receiver operating characteristic curve (AUC), positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR-), and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators, between images from different hospitals with AUC, and with the performance of 37 radiologists. RESULTS: The accuracies of the 2D, 2D-CDFI, and 2D-CDFI-PW models on the test set were 87.9%, 89.2%, and 88.7%, respectively. The AUCs for classification of benign tumors, malignant tumors, inflammatory masses, and adenosis were 0.90, 0.91, 0.90, and 0.89, respectively (95% confidence intervals [CIs], 0.87-0.91, 0.89-0.92, 0.87-0.91, and 0.86-0.90). The 2D-CDFI model showed better accuracy (89.2%) on the test set than the 2D (87.9%) and 2D-CDFI-PW (88.7%) models. The 2D model showed accuracy of 81.7% on breast masses ≤1 cm and 82.3% on breast masses >1 cm; there was a significant difference between the two groups (P < 0.001). The accuracy of the CNN classifications for the test set (89.2%) was significantly higher than that of all the radiologists (30%). CONCLUSIONS: The CNN may have high accuracy for classification of US images of breast masses and perform significantly better than human radiologists. TRIAL REGISTRATION Chictr.org, ChiCTR1900021375; http://www.chictr.org.cn/showproj.aspx?proj=33139.
Area Under Curve ; Breast/diagnostic imaging* ; Breast Neoplasms/diagnostic imaging* ; China ; Deep Learning ; Humans ; ROC Curve ; Sensitivity and Specificity

An auxiliary isolation device of cupping therapy for cross-infection prevention is designed to reduce the disinfection steps and be against cross transmission. This device is composed of a disposable isolation unit made of fire proof plastic material and a disposable cup-mouth fixator made of elastic material. The disposable isolation unit includes two parts, the cup neck isolation unit and the inner isolation unit of fire cup. These two parts connect with the disposable cup-mouth fixator. All of those three sections of the device are center-connected ring-like structure. This device can well prevent the direct contact of fire cup with the patient's skin surface, characterized as safety protection, simple operation and saving time and manpower.
Cupping Therapy ; Humans

OBJECTIVE: To summarize the long-term efficacy of cyclosporine (CsA) in the treatment of non-severe aplastic anemia (NSAA) in children, and explore the early significant indicators. METHODS: Data of 36 NSAA children in Department of Hematological Oncology, Wuhan Children's Hospital, Tongji Medical College of Huazhong University of Science and Technology from January 2013 to December 2017 were analyzed retrospectively. All the children received oral CsA immunosuppressive therapy, and CsA trough concentration was checked to maintain at the rage of 200-250 μg/L after 2 weeks. The evaluation time points were at 3, 6, 12, 18 and 24 months, and assessment items were peripheral white blood cell differential count and reticulocyte's percentage and count. RESULTS: The 36 NSAA cases were composed of 16 males and 20 females, whose median age was 5.46 (2.92-7.99) years old, and median follow-up time was 28.00 (10.00-38.25) months. After taking oral CsA for 24 months, the number of cumulative effective cases was 21. There were 4 cases of complete remission (CR), 17 cases of partial remission (PR), and 15 cases of non-remission (NR). The total effective rate was 58.33%, and median effect-acting time of CsA was 3.0 (0.5-10.0) months. Compared with ineffective group, neutrophil (NEU) and red blood cell (RBC) of effective group (CR+PR) began to increase significantly at the 3rd month, and hemoglobin (Hb), platelet (PLT) and white blood cell (WBC) increase significantly at the 6th month after oral CsA administration (P<0.05). Except for 2 cases who received component transfusion within 3-12 months after taking oral CsA for 3 months in effective group, the others did not need. CONCLUSION The overall effective rate of oral CsA in children with NSAA was 58.33%. Stopping blood transfusion after the 3 months of treatment may be considered as a turning point for disease outcomes, and levels of NEU, RBC at the 3rd month and Hb, PLT, WBC at the 6th month as indicators for predicting disease prognosis.
Anemia, Aplastic/drug therapy* ; Child ; Child, Preschool ; Cyclosporine ; Female ; Humans ; Immunosuppressive Agents ; Male ; Prognosis ; Retrospective Studies ; Treatment Outcome

Objective: To analyze Internet behaviors of children and adolescents and their influencing factors, and to provide scientific basis for health education guidance and prevention measures. Methods: A stratified cluster sampling method was used. From January to June 2019, 30 955 primary school students in 16 provinces (municipalities), from eastern, central, and western economic zones of China were selected to conduct a questionnaire survey, regarding general demographics, diet and exercise, tobacco, alcohol and sleep, Internet and electronics usage, etc. Results: Among them, 43.1% of students had never been online with girls (44.7%) higher than boys (41.8%)(χ2=21.04, P<0.01); 1.3% of students reported online time for more than 4 hours a day, boys were significantly higher than girls(χ2=15.87, P<0.01); Internet addiction was detected in 2.4% of elementary school students, with boys (3.0%) higher than girls(1.7%)(χ2=331.77, P<0.01), and the trend increases with grade. With sixth grade (3.3%) were significantly higher than children from the first grade (0.8%) and other grades(χ2=163.96, P<0.01). Children’s tendency to Internet addiction was 11.9%, of which boys were 13.0% and girls were 10.6%, boys were significantly higher than girls(χ2=117.66, P<0.01). Pearson correlation analysis revealed that, after controlling gender age, boarding school, family relationship, single parents and regrouped families, smoking, drinking sugary drinks, eating fried foods, and left-behind were positively related to Intenet addiction(r=0.06, 0.07, 0.27, 0.44, 0.07, 0.11, 0.09, P<0.01), while medium and high intensity sports, effective physical education, health education in school, AIDS education and parental restrictions on TV and computer games, were negatively associated with internet addiction(r=-0.74, -0.65, -0.04, -0.05, -0.63, P<0.01). Conclusion The internet addiction of Chinese primary school students is common and increases by year. High-intensity, high-density sports, effective physical education, and health education could help prevent Internet addiction among children.