As a new type of production factor that can empower the development of new quality productivity, the data element is an important engine to promote the high quality development of the industry. Traditional Chinese medicine(TCM) dispensing is the most basic work of TCM clinical pharmacy, and its quality directly affects the clinical efficacy of TCM. The integration of data elements and TCM dispensing can stimulate the innovation and vitality of the TCM dispensing industry and promote the high-quality and sustainable development of the industry. A large-scale, detailed, and systematic study on TCM dispensing was conducted. The innovative practice path of data fusion construction in the whole process of TCM dispensing was investigated by integrating the digital resources "nine full activities" of TCM dispensing, creating the digital dictionary of "TCM clinical information data elements", and exploring innovative applications of TCM dispensing driven by data and technology, so as to promote the standardized, digital, and intelligent development of TCM dispensing in medical health services. The research content of this project was successfully selected as the second batch of "Data element×" typical cases of National Data Administration in 2024, which is the only selected case in the field of TCM.
Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal ; Humans

Objective:This study aims to construct a colorectal cancer(CRC)prognosis prediction model based on disulfide death associated long-chain non coding ribonucleic acids(DRLncRNAs),and to explore its potential application in predicting prognosis and guiding personalized treatment.Methods:The data for this study was sourced from the Cancer Genome Atlas(TCGA)database,which includes RNA sequencing data and detailed clinical information of CRC patients.Using co expression network analysis to screen DRLncRNAs.Preliminary screening of DRLncRNAs related to prognosis was conducted through univariate Cox regression analysis,followed by variable screening and dimensionality reduction using LASSO Cox regression analysis.Finally,key DRLncRNAs for constructing a prognostic risk model were identified through multivariate Cox regression analysis.Evaluate the predictive ability of prognostic risk models for survival in CRC patients through Kaplan Meier survival curve analysis.The accuracy of the model was analyzed using receiver operating characteristic(ROC)curves,and the ability of different gene expression profiles to distinguish risk stratification was evaluated using principal component analysis(PCA).Gene ontology(GO)and KEGG enrichment analysis were used to evaluate the enrichment of high and low expression gene sets in different risk groups.Results:Five key DRLncRNAs(AC068580.3,AL161729.4,ZEB1-AS1,AC073896.3,and SNHG16)were successfully screened.In the overall concentration,the area under the curve(AUC)of the model's 1-year,3-year,and 5-year survival predictions are 0.674,0.746,and 0.727,respectively;In the training set,the predicted AUC for 1-year,3-year,and 5-year survival were 0.669,0.762,and 0.756,respectively;In the test set,the predicted AUC for 1-year,3-year,and 5-year survival were 0.666,0.725,and 0.697,respectively.SNHG16 and AC073896.3 are protective factors,and high expression was associated with better prognosis;ZEB1-AS1,AC068580.3,and AL161729.4 were risk factors,and high expression indicates poor prognosis.The Kaplan Meier survival analysis results showed that there was a significant difference in survival between the high-risk and low-risk groups(P＜0.05),and the overall survival rate of the high-risk group was significantly lower(P＜0.05).The enrichment analysis results showed that the phosphatidylinositol mediated signal transduction,mitochondrial gene expression,and other biological processes related to 5 DRLncRNAs may be involved in the occurrence,development,and poor prognosis of CRC.The results of this study showed that a prognostic risk model based on five DRLncRNAs(AC068580.3,AL161729.4,ZEB1-AS1,AC073896.3,and SNHG16)was successfully established,which showed independent correlation with the overall survival status of CRC patients.In addition,the prognostic risk model constructed based on these 5 DRLncRNAs can effectively predict the prognosis of CRC patients.Conclusion:This study identified five DRLncRNAs,including AC068580.3,AL161729.4,ZEB1-AS1,AC073896.3,and SNHG16,that are associated with the prognosis of CRC patients.The prognostic risk model constructed based on these five DRLncRNAs has a high evaluation efficiency for the prognosis of CRC patients.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:This study aims to construct a colorectal cancer(CRC)prognosis prediction model based on disulfide death associated long-chain non coding ribonucleic acids(DRLncRNAs),and to explore its potential application in predicting prognosis and guiding personalized treatment.Methods:The data for this study was sourced from the Cancer Genome Atlas(TCGA)database,which includes RNA sequencing data and detailed clinical information of CRC patients.Using co expression network analysis to screen DRLncRNAs.Preliminary screening of DRLncRNAs related to prognosis was conducted through univariate Cox regression analysis,followed by variable screening and dimensionality reduction using LASSO Cox regression analysis.Finally,key DRLncRNAs for constructing a prognostic risk model were identified through multivariate Cox regression analysis.Evaluate the predictive ability of prognostic risk models for survival in CRC patients through Kaplan Meier survival curve analysis.The accuracy of the model was analyzed using receiver operating characteristic(ROC)curves,and the ability of different gene expression profiles to distinguish risk stratification was evaluated using principal component analysis(PCA).Gene ontology(GO)and KEGG enrichment analysis were used to evaluate the enrichment of high and low expression gene sets in different risk groups.Results:Five key DRLncRNAs(AC068580.3,AL161729.4,ZEB1-AS1,AC073896.3,and SNHG16)were successfully screened.In the overall concentration,the area under the curve(AUC)of the model's 1-year,3-year,and 5-year survival predictions are 0.674,0.746,and 0.727,respectively;In the training set,the predicted AUC for 1-year,3-year,and 5-year survival were 0.669,0.762,and 0.756,respectively;In the test set,the predicted AUC for 1-year,3-year,and 5-year survival were 0.666,0.725,and 0.697,respectively.SNHG16 and AC073896.3 are protective factors,and high expression was associated with better prognosis;ZEB1-AS1,AC068580.3,and AL161729.4 were risk factors,and high expression indicates poor prognosis.The Kaplan Meier survival analysis results showed that there was a significant difference in survival between the high-risk and low-risk groups(P＜0.05),and the overall survival rate of the high-risk group was significantly lower(P＜0.05).The enrichment analysis results showed that the phosphatidylinositol mediated signal transduction,mitochondrial gene expression,and other biological processes related to 5 DRLncRNAs may be involved in the occurrence,development,and poor prognosis of CRC.The results of this study showed that a prognostic risk model based on five DRLncRNAs(AC068580.3,AL161729.4,ZEB1-AS1,AC073896.3,and SNHG16)was successfully established,which showed independent correlation with the overall survival status of CRC patients.In addition,the prognostic risk model constructed based on these 5 DRLncRNAs can effectively predict the prognosis of CRC patients.Conclusion:This study identified five DRLncRNAs,including AC068580.3,AL161729.4,ZEB1-AS1,AC073896.3,and SNHG16,that are associated with the prognosis of CRC patients.The prognostic risk model constructed based on these five DRLncRNAs has a high evaluation efficiency for the prognosis of CRC patients.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To investigate the effect and mechanism of miR-217 targeted regulation of extracellular signal-regulated kinase 2(ERK2)expression on activity and immune escape of non-small cell lung cancer cells(NSCLC).Methods:qRT-PCR was used to detect expression levels of miR-217 and ERK2 mRNA in NSCLC tissues,adjacent tissues,and HLF-1,A549 and HCC827 cell lines.Analyzed prognosis and survival status of NSCLC patients with different miR-217 expression level.Bioinformatics and dual luciferase gene reporting experiments were used to analyze the targeting relationship between miR-217 and ERK2.Cultivated NSCLC A549 cells and divided them into NC group,miR-217 inhibitor group,miR-217 mimic group,miR-217 mimic+ERK2 NC group and miR-217 mimic+ERK2 group.Except for the NC group without any treatment,all other groups were transfected with corresponding plasmids to analyze the proliferation activity and immune escape status of A549 cells in each group,and clarified the mechanism of action.Results:Compared with adjacent tissues,expression of miR-217 in NSCLC tissue was decreased,while expression of ERK2 mRNA was increased(P<0.05).Compared with human normal lung fibroblast HLF-1 cell lines,expression of miR-217 in NSCLC cell lines A549 and HCC827 were decreased,while expression of ERK2 mRNA was increased(P<0.05).Analysis of the relationship be-tween miR-217 and prognosis of NSCLC patients based on Kaplan-Meier Plotter database showed that low expression of miR-217 was associated with poor prognosis of patients(HR=0.90,P=0.033).Dual fluorescein reporter genes showed matching sequences between the 3'UTR regions of miR-217 and ERK2.miR-217 mimic fragment could inhibit ERK2-WT signal,but had no effect on ERK2-MUT.Compared with NC group,cell proliferation activity,PD-L1 and PD-L2 mRNA expression levels of miR-217 inhibitor group were in-creased,while CD8+T cell activity was decreased,and cell proliferation activity,PD-L1 and PD-L2 mRNA expression levels of miR-217 mimic group were decreased,while CD8+T cell activity was increased(P<0.05).Compared with miR-217 mimic group,cell pro-liferation activity,CD8+T cell activity,PD-L1 and PD-L2 mRNA expression levels of miR-217 mimic+ERK2 NC group had no signifi-cant changes(P>0.05),cell proliferation activity,PD-L1 and PD-L2 mRNA expression levels of miR-217 mimic+ERK2 group were increased,while CD8+T cell activity was decreased(P<0.05).Conclusion:Overexpression of miR-217 can reduce the activity of NSCLC cell A549,inhibit the expression of PD-L1,activate CD8+T cells in tumor microenvironment,and then inhibit immune es-cape,which may play a role by targeting ERK2.

Background::Bladder cancer, characterized by a high potential of tumor recurrence, has high lifelong monitoring and treatment costs. To date, tumor cells with intrinsic softness have been identified to function as cancer stem cells in several cancer types. Nonetheless, the existence of soft tumor cells in bladder tumors remains elusive. Thus, our study aimed to develop a microbarrier microfluidic chip to efficiently isolate deformable tumor cells from distinct types of bladder cancer cells.Methods::The stiffness of bladder cancer cells was determined by atomic force microscopy (AFM). The modified microfluidic chip was utilized to separate soft cells, and the 3D Matrigel culture system was to maintain the softness of tumor cells. Expression patterns of integrin β8 (ITGB8), protein kinase B (AKT), and mammalian target of rapamycin (mTOR) were determined by Western blotting. Double immunostaining was conducted to examine the interaction between F-actin and tripartite motif containing 59 (TRIM59). The stem-cell-like characteristics of soft cells were explored by colony formation assay and in vivo studies upon xenografted tumor models. Results::Using our newly designed microfluidic approach, we identified a small fraction of soft tumor cells in bladder cancer cells. More importantly, the existence of soft tumor cells was confirmed in clinical human bladder cancer specimens, in which the number of soft tumor cells was associated with tumor relapse. Furthermore, we demonstrated that the biomechanical stimuli arising from 3D Matrigel activated the F-actin/ITGB8/TRIM59/AKT/mTOR/glycolysis pathways to enhance the softness and tumorigenic capacity of tumor cells. Simultaneously, we detected a remarkable up-regulation in ITGB8, TRIM59, and phospho-AKT in clinical bladder recurrent tumors compared with their non-recurrent counterparts.Conclusions::The ITGB8/TRIM59/AKT/mTOR/glycolysis axis plays a crucial role in modulating tumor softness and stemness. Meanwhile, the soft tumor cells become more sensitive to chemotherapy after stiffening, that offers new insights for hampering tumor progression and recurrence.

The COVID-19 epidemic has spread to the whole world for three years and has had a serious impact on human life, health and economic activities. China's epidemic prevention and control has gone through the following stages: emergency unconventional stage, emergency normalization stage, and the transitional stage from the emergency normalization to the "Category B infectious disease treated as Category B" normalization, and achieved a major and decisive victory. The designated hospitals for prevention and control of COVID-19 epidemic in Tianjin has successfully completed its tasks in all stages of epidemic prevention and control, and has accumulated valuable experience. This article summarizes the experience of constructing a hospital infection prevention and control system during the "Category B infectious disease treated as Category A" period in designated hospital. The experience is summarized as the "Cluster" hospital infection prevention and control system, namely "three rings" outside, middle and inside, "three districts" of green, orange and red, "three things" before, during and after the event, "two-day pre-purification" and "two-director system", and "one zone" management. In emergency situations, we adopt a simplified version of the cluster hospital infection prevention and control system. In emergency situations, a simplified version of the "Cluster" hospital infection prevention and control system can be adopted. This system has the following characteristics: firstly, the system emphasizes the characteristics of "cluster" and the overall management of key measures to avoid any shortcomings. The second, it emphasizes the transformation of infection control concepts to maximize the safety of medical services through infection control. The third, it emphasizes the optimization of the process. The prevention and control measures should be comprehensive and focused, while also preventing excessive use. The measures emphasize the use of the least resources to achieve the best infection control effect. The fourth, it emphasizes the quality control work of infection control, pays attention to the importance of the process, and advocates the concept of "system slimming, process fattening". Fifthly, it emphasizes that the future development depends on artificial intelligence, in order to improve the quality and efficiency of prevention and control to the greatest extent. Sixth, hospitals need to strengthen continuous training and retraining. We utilize diverse training methods, including artificial intelligence, to ensure that infection control policies and procedures are simple. We have established an evaluation and feedback mechanism to ensure that medical personnel are in an emergency state at all times.

Objective To investigate the correlation between the expression of long non-coding ribonucleic acid growth arrest specific 5(lncRNA GAS5),phospholysine phosphohistidine inorganic pyrophosphate phos-phatase(LHPP)and epithelial-mesenchymal transition(EMT)in cancer tissues of patients with non-small cell lung cancer(NSCLC)and its clinical significance.Methods Cancer tissues and adjacent tissues of 90 patients with NSCLC who underwent surgical resection in the First Hospital Affiliated to Hebei North College from June 2018 to January 2020 were collected.The expressions of lncRNA GAS5,LHPP and EMT-associated pro-teins[E-calmodulin(E-Cad),N-calmodulin(N-Cad),and vimentin(VIM)]were detected by real-time fluores-cence quantitative polymerase chain reaction.The relationship between lncRNA GAS5 and LHPP mRNA and clinicopathological features in cancer tissues of NSCLC patients was analyzed,and the correlation between ln-cRNA GAS5 and LHPP mRNA and EMT-associated proteins expression in cancer tissues of NSCLC patients was analyzed by Pearson correlation.Kaplan-Meier method was used to plot the survival curves of NSCLC pa-tients with different lncRNA GAS5 and LHPP mRNA expressions,and multivariate Cox regression was used to analyze the prognostic factors of NSCLC patients.Results The expressions of lncRNA GAS5,LHPP mR-NA and E-Cad mRNA in cancer tissues of NSCLC patients were lower than those in adjacent tissues,while the expressions of N-Cad mRNA and VIM mRNA were higher than those in adjacent tissues,with statistical sig-nificance(P＜0.05).Pearson correlation analysis showed that lncRNA GAS5 in cancer tissues of NSCLC pa-tients was positively correlated with E-Cad mRNA expression(r=0.724,P＜0.001),and negatively correla-ted with N-Cad mRNA and VIM mRNA expression(r=-0.699,-0.689).P＜0.001);lncRNA GAS5 was positively correlated with LHPP mRNA expression(r=0.651,P＜0.001).The mRNA expressions of ln-cRNA GAS5 and LHPP in cancer tissues of NSCLC patients with different degrees of differentiation,tumor TNM stage and lymph node metastasis were significantly different(P＜0.05).Kaplan-Meier survival curve a-nalysis showed that the 3-year overall survival rate in the lncRNA GAS5 high expression group[68.18％(30/44)]was higher than that in the lncRNA GAS5 low expression group[36.96％(17/46)].The 3-year overall survival rate in the high LHPP mRNA expression group[67.39％(31/46)]was higher than that in the lowLHPP mRNA expression group[36.36％(16/44)],and the difference was statistically significant(x2=10.274,10.322,P＜0.05).Low differentiation,TNM stage Ⅲ and lymph node metastasis were independent risk factors for death in NSCLC patients,and lncRNA GAS5≥1.32 and LHPP mRNA≥1.12 were independ-ent protective factors(P＜0.05).Conclusion The low expression of lncRNA GAS5 and LHPP mRNA in cancer tissues of patients with NSCLC is related to EMT-associated proteins expression,differentiation de-gree,tumor TNM stage,lymph node metastasis and prognosis,and may become a new target for the diagnosis and treatment of NSCLC.

Quaternary ammonium compounds (QACs) are widely used as fungicides and surfactants in daily products and disinfection products,and as additives in industrial process. The QACs can be deposited and accumulated in soil after long-term discharge. In the present study,based on ultrasonic-assisted extraction-liquid chromatography-tandem mass spectrometry (UAE-LC-MS/MS) technique,a sensitive analytical method was developed for rapid analysis of 11 kinds of QACs,including 4 kinds of benzylalkyldimethylammonium compounds,4 kinds of alkyltrimethylammonium compounds,and 3 kinds of dialkyldimethylammonium compounds. The results showed that QACs in soil and sediment could be effectively extracted with 5％acetonitrile at 60℃. The 11 kinds of QACs were baseline-separated on a ZORBAX SB-C18 column coupled with ternary mobile phases (0.1％formic-water,0.1％formic-methanol and 0.1％formic-acetonitrile),showing excellent linear relationship in the range of 0.001-0.5μg/mL (R2>0.9776). The limits of detection were 0.01-0.31 ng/g (S/N=3). The recoveries of 11 kinds of QACs in soil samples were 78.7％-99.3％ with relative standard deviations (RSDs)<12.9％,showing acceptable recoveries and repeatability. The results indicated that QACs could be extracted and cleaned-up within 4 h using this analytical method,with small volume of organic solvent consumed and less consumables materials.