ObjectiveTo investigate the mechanisms by which Jianpi Yangzheng Xiaozheng prescription （JPYZXZ） treats poorly cohesive gastric carcinoma （PC-GC） through regulation of ubiquitin-specific peptidase 51 （USP51）. MethodsIn vitro experiments： Cell viability and proliferation of PC-GC cell lines （MKN-45 and HGC-27） treated with different concentrations of JPYZXZ （2， 4， 6 g·L^-1） were assessed using Cell Counting Kit-8 （CCK-8） and colony formation assays. Cell migration was evaluated by wound healing （scratch） and Transwell assays. The mRNA and protein expression levels of USP51， zinc finger E-box-binding homeobox 1 （ZEB1）， and epithelial-mesenchymal transition （EMT）-related markers （e.g.， E-cadherin） were detected by quantitative real-time PCR （Real-time PCR） and Western blot， respectively. Subsequently， stable MKN-45 and HGC-27 cell lines with USP51 knockdown （sh-USP51） and overexpression （oe-USP51） were constructed. Their migration ability and EMT-related protein expression were further evaluated by scratch assay， Transwell assay， and Western blot. In vivo experiments： A subcutaneous xenograft model of MKN-45 human gastric cancer was established in BALB/c nude mice. Thirty mice were randomly divided into six groups （NC， NC + JPYZXZ， sh-USP51， sh-USP51 + JPYZXZ， oe-USP51， and oe-USP51 + JPYZXZ）， with five mice in each group. After successful modeling， mice in the treatment groups were administered JPYZXZ （30 g·kg^-1） by gavage for 28 days. Body weight and tumor volume were monitored during the experiment. The expression levels of USP51 and EMT-related proteins in tumor tissues were detected by Western blot and immunohistochemistry （IHC）. ResultsCompared with the blank group， the colony formation rate， wound healing rate， and number of migrated cells in MKN-45 and HGC-27 cells were significantly reduced in all JPYZXZ groups and the 5-fluorouracil （5-FU） group （P<0.05）. The mRNA and protein expression levels of USP51 were decreased （P<0.05）. The expression of ZEB1 and mesenchymal phenotype proteins （e.g.， N-cadherin and vimentin） was reduced （P<0.05）， whereas the expression of the epithelial marker E-cadherin was increased （P<0.05）. Compared with the control group， USP51 expression was decreased in the sh-USP51 group and increased in the oe-USP51 group （P<0.05）. Compared with the NC group， USP51 knockdown significantly reduced the migration and proliferation of gastric cancer cells （P<0.01）， decreased the expression of ZEB1 and EMT-related proteins， and increased E-cadherin expression （P<0.05）. In vivo results showed that JPYZXZ significantly inhibited the growth of xenograft tumors in nude mice （P<0.05） and markedly reversed the abnormal expression of EMT-related proteins in tumor tissues （P<0.05）. ConclusionThe therapeutic mechanisms of JPYZXZ in PC-GC may be associated with inhibition of the EMT process via regulation of the USP51-ZEB1 signaling pathway.

ObjectiveQi deficiency and phlegm dampness syndrome is a common type of clinical traditional Chinese medicine（TCM） syndrome. However， there is no standard， scientific， and accurate report on the construction of animal models of Qi deficiency and phlegm dampness syndrome. This study aims to construct a mouse model of Qi deficiency and phlegm dampness syndrome by using a multi-factor composite modeling method and to evaluate the model. MethodsTwenty-one C57BL/6 mice were randomly divided into three groups with seven mice in each group， which were the normal group， model group， and Shenling Baizhusan （SLBZ） group. The control group was fed with ordinary diet and kept in a normal environment. The model group and SLBZ group were fed with a high-fat diet in a high-humidity environment. Swimming with heavy weights until exhaustion and gavage with cold water or lard were used to establish the mouse model of Qi deficiency and phlegm dampness syndrome. In order to test the syndrome by prescription， mice in the SLBZ group were treated with SLBZ for 14 days after model construction. The exhaustive swimming time， body weight， serum lipid levels， tongue changes， "Qi deficiency and phlegm dampness" assessment scale score， and cecal index of mice in each group were measured. The feces of each group of mice were sent for metagenomics and metabolome sequencing， and the changes in intestinal flora and metabolites were analyzed. ResultsAfter the modeling of Qi deficiency and phlegm dampness syndrome， the exhaustive swimming time of mice was obviously shortened （P<0.01）. The serum total cholesterol， low density lipoprotein cholesterol， and non-high density lipoprotein cholesterol of mice were significantly increased （all P<0.01）. The tongue of mice was significantly different from that of the normal group， and the score of the assessment scale was significantly higher than that of the control group （P<0.01）. Cecal index decreased significantly （P<0.01）. The serum lipid level， tongue image， assessment scale score， and cecal index were reversed in the SLBZ group. Metagenomic and metabolome sequencing results showed that intestinal flora and fecal metabolites were significantly changed in mice with Qi deficiency and phlegm dampness syndrome. Akkermansia_muciniphila， Faecalibaculum_rodentium， Eubacterium_plexicaudatum， Eubacterium sp 14_2， Candida glabrata， Romboutsia_ilealis， Turicibacter sp TS3， and other bacteria had significant changes， and the expressions of intestinal metabolites such as chenodeoxycholic acid， choline， L-phenylalanine betaine， and 2-phenylbutyric acid were significantly changed. Related metabolic pathways such as linoleic acid metabolism， primary bile acid biosynthesis， lysine degradation， arginine biosynthesis， and alpha-linolenic acid metabolism were affected. ConclusionThe Qi deficiency and phlegm dampness model of mice can be constructed by the multi-factor composite modeling method of high-fat diet feeding， high-humidity environment feeding， exhaustive swimming with heavy weight， and intragastric administration with cold water or lard. The blood lipid level， tongue change， score of "Qi deficiency and phlegm dampness assessment scale"， cecal index， and changes in related intestinal flora and metabolites of mice can be used as key indicators for model evaluation.

The innate immune system can be boosted in response to subsequent triggers by pre-exposure to microbes or microbial products, known as “trained immunity”. Compared to classical immune memory, innate trained immunity has several different features. Firstly, the molecules involved in trained immunity differ from those involved in classical immune memory. Innate trained immunity mainly involves innate immune cells (e.g., myeloid immune cells, natural killer cells, innate lymphoid cells) and their effector molecules (e.g., pattern recognition receptor (PRR), various cytokines), as well as some kinds of non-immune cells (e.g., microglial cells). Secondly, the increased responsiveness to secondary stimuli during innate trained immunity is not specific to a particular pathogen, but influences epigenetic reprogramming in the cell through signaling pathways, leading to the sustained changes in genes transcriptional process, which ultimately affects cellular physiology without permanent genetic changes (e.g., mutations or recombination). Finally, innate trained immunity relies on an altered functional state of innate immune cells that could persist for weeks to months after initial stimulus removal. An appropriate inducer could induce trained immunity in innate lymphocytes, such as exogenous stimulants (including vaccines) and endogenous stimulants, which was firstly discovered in bone marrow derived immune cells. However, mature bone marrow derived immune cells are short-lived cells, that may not be able to transmit memory phenotypes to their offspring and provide long-term protection. Therefore, trained immunity is more likely to be relied on long-lived cells, such as epithelial stem cells, mesenchymal stromal cells and non-immune cells such as fibroblasts. Epigenetic reprogramming is one of the key molecular mechanisms that induces trained immunity, including DNA modifications, non-coding RNAs, histone modifications and chromatin remodeling. In addition to epigenetic reprogramming, different cellular metabolic pathways are involved in the regulation of innate trained immunity, including aerobic glycolysis, glutamine catabolism, cholesterol metabolism and fatty acid synthesis, through a series of intracellular cascade responses triggered by the recognition of PRR specific ligands. In the view of evolutionary, trained immunity is beneficial in enhancing protection against secondary infections with an induction in the evolutionary protective process against infections. Therefore, innate trained immunity plays an important role in therapy against diseases such as tumors and infections, which has signature therapeutic effects in these diseases. In organ transplantation, trained immunity has been associated with acute rejection, which prolongs the survival of allografts. However, trained immunity is not always protective but pathological in some cases, and dysregulated trained immunity contributes to the development of inflammatory and autoimmune diseases. Trained immunity provides a novel form of immune memory, but when inappropriately activated, may lead to an attack on tissues, causing autoinflammation. In autoimmune diseases such as rheumatoid arthritis and atherosclerosis, trained immunity may lead to enhance inflammation and tissue lesion in diseased regions. In Alzheimer’s disease and Parkinson’s disease, trained immunity may lead to over-activation of microglial cells, triggering neuroinflammation even nerve injury. This paper summarizes the basis and mechanisms of innate trained immunity, including the different cell types involved, the impacts on diseases and the effects as a therapeutic strategy to provide novel ideas for different diseases.

Objective To investigate the cognition level and behavior compliance of blood pressure measurement in community residents and analyze the related influencing factors, and to provide evidence for community health management and blood pressure control. Methods A questionnaire survey was conducted to investigate 4470 community patients. Questionnaires included basic personal information，blood pressure measurement cognition, and blood pressure measurement behavior related issues. SPSS 19.0 was used to analyze the basic information, blood pressure measurement cognition, and pressure measurement behavior of the survey subjects. Logistic regression was performed to analyze relevant factors affecting blood pressure measurement cognition and behavior compliance. Results The overall cognitive compliance rate for blood pressure measurement among the visiting community patients was 31.52%. Age, education level, and chronic disease had a statistically significant impact on the cognitive knowledge (P<0.05). The overall behavior compliance rate of blood pressure measurement among the community patients was 23.69%. The cognition, age and education had a statistically significant impact on the overall behavior compliance rate of blood pressure measurement (P<0.05). Conclusion The cognitive level and standardized behavior of blood pressure measurement of community patients need to be improved. More attention should be paid to the elderly, low education level residents and community residents without chronic diseases, to promote community residents to form correct and standardized behavior of blood pressure measurement through health education.

ObjectiveTo observe the inhibitory effect of the Weiliuan mixture （WLAHJ） on the subcutaneous xenograft tumor of MKN-74 gastric cancer cells， and explore the potential anti-gastric cancer mechanism of WLAHJ by using transcriptomic sequencing technology to reveal related genes and pathways. Methods30 Balb/c nude mice were randomly divided into model， low-， medium-， and high-dose（15，30，45 g·kg^-1） WLAHJ and 5-FU （0.025 g·kg^-1） groups to build a subcutaneous xenograft tumor model with MKN-74 human gastric cancer cells. After modeling，each group was continuously treated with the corresponding drugs for 28 days. During the treatment period， the body weight and tumor size of the mice were observed and recorded every 2 days. At the end of the treatment， the mice were sacrificed， and required samples were collected to calculate the tumor inhibition rate of WLAHJ on the subcutaneous xenograft tumor. High-throughput transcriptomic sequencing （RNA-seq） technology was used to analyze the differentially expressed genes in the subcutaneous tumor tissues of the model group and the medium-dose WLAHJ group， thus exploring the potential mechanism of WLAHJ in gastric cancer intervention. Immunofluorescence experiments were conducted to detect the protein expression levels of glutathione peroxidase 4 （GPX4）， solute carrier family 7 member 11 （SLC7A11）， transferrin receptor protein-1 （TFR-1）， and acyl-CoA synthetase long-chain family member 4 （ACSL4） in subcutaneous xenograft tumors of each group. Cell counting kit-8（CCK-8） and colony formation assays were used to detect the viability and anti-proliferative ability of human gastric cancer AGS and MKN-74 cells at different concentrations of WLAHJ. Kits were used to detect the levels of Fe²⁺， reactive oxygen species （ROS）， malondialdehyde （MDA）， and superoxide dismutase （SOD） activity in cells. Western blot was used to detect the expression levels of GPX4， SLC7A11， TRF-1， ACSL4， spermidine/spermine N1-acetyltransferase 1 （SAT1）， arachidonic acid 15-lipoxygenase （ALOX15）， and key proteins in the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR） signaling pathway. ResultsThe mechanism of WLAHJ in gastric cancer intervention may be related to ferroptosis and the PI3K/Akt /mTOR signaling pathway. The growth of subcutaneous xenograft tumors in nude mice of the WLAHJ and 5-FU groups（P<0.05，P<0.01）， GPX4， and SLC7A11 dropped significantly（P<0.01）， while TFR-1， ACSL4， SAT1， and ALOX15（P<0.05，P<0.01）increased significantly compared with those in the model group. The levels of ROS， Fe²⁺， and MDA increased in the WLAHJ and 5-FU groups and the proliferation of gastric cancer cells， SOD activity， the ratios of phosphorybation （p）-mTOR/mTOR， p-PI3K/PI3K， and p-Akt/Akt protein expressions（P<0.05，P<0.01）decreased compared with those in the blank group. ConclusionThe mechanism of WLAHJ in treating gastric cancer may be related to the regulation of the PI3K/ Akt /mTOR signaling pathway to intervene in ferroptosis.

Objective:To explore the structural equation model to explore the levels of work-related musculoskeletal disorders (WMSDs) and various risk factors in the feet and ankle of China's occupational population, providing scientific basis for for preventing WMSDs in feet and ankles.Methods:Data of 73497 national occupational epidemiological cases were selected from June 2018 to December 2023 used the Chinese version of the Electronic Questionnaire on Musculoskeletal Disorders. The adverse ergonomic factors and their source classification standard and confirmatory factor analysis were used to investigate foot and ankle WMSDs and their related risk factors (including individual factors, work organization, work posture, work type, fatigue, etc.) in key occupational groups in China, and structural equation model hypothesis, fitting, verification, and path and intermediary effect analysis were carried out. The model fit evaluation indexes included Chi-square specific degrees of freedom ( χ2/ df), gauge fit index (NFI), Tucker Lewis index (TLI), goodness of Fit index (GFI), adjusted Goodness of Fit index (AGFI) and approximate root mean square error (RMSEA) . Results:A total of 73497 occupational workers were surveyed, with local muscle fatigue and WMSDs incidence rates in the feet and ankles being 17.17% and 12.06%, respectively. The fitting index of the adjusted structural equation model basically meets the standard (GFI=1, AGFI=1, RMESA=0.042, NFI=0.716, TLI=0.663). The top three factors affecting feet and ankle WMSDs are feet and ankle muscle fatigue, work type, and work organization, with standardized path coefficients of 0.221, 0.105, and 0.095, respectively. The top two factors affecting feet and ankle muscle fatigue are work organization and work type, with standardized path coefficients of 0.548 and 0.383, respectively. Feet and ankle muscle fatigue, work type, work organization, and work posture have a direct effect on feet and ankle WMSDs, with effect values of 0.221, 0.105, 0.095, and 0.077, respectively. The organization and type of work can also have indirect effects through feet and ankle muscle fatigue, with effect values of 0.121 and 0.084, respectively.Conclusion:Feet and ankle muscle fatigue has a direct impact on WMSDs, and plays a mediating role between ankle and ankle WMSDs caused by work organization and work type. Feet and ankle muscle fatigue is an important pathway leading to feet and ankle WMSDs. It is recommended that employers and managers detect job fatigue early and take corresponding prevention and intervention measures, which can play a key role in preventing feet and ankle WMSDs.

Aim To investigate the pharmacological mechanism of Ebselenin(Ebselen,EbSe)in the treat-ment of Escherichia coli(E.coli)infection,which had no significant inhibitory effect on Gram-negative bacte-ria,based on previous studies.Methods After EbSe intervention in E.coli infected Raw264.7 cells,the via-bility of Raw264.7 cells was determined by CCK-8 method,the morphology and structure of Raw264.7 cells were observed by electron microscope,and the in-tracellular bacterial load of Raw264.7 cells was calcu-lated by coated plate method.Polarization status of peritoneal macrophages,Raw264.7 intracellular NO and ROS content and intracellular HO-1 expression in Raw264.7 and E.coli acutely infected mice after E.co-li infection by flow cytometry.qPCR was used to detect the expression of related mRNAs in Raw264.7 cells.qPCR was used to detect the intracellular GSH content in Raw264.7 cells by spectrophotometric assay,and the state of cytoskeletal proteins was observed by immuno-fluorescence.Western blot assay was performed to de-tect the intracellular Txnrd1 expression level.Results Microtiter method,CCK-8,and electron microscopy observations showed that EbSe had no effect on the growth of E.coli and Raw264.7 cells in vitro.The re-sults of smear plate counting showed that EbSe reduced the intracellular bacterial load of Raw264.7 in the in-fected group.Flow cytometry results showed that EbSe upregulated the number of M2-type macrophages.The EbSe-treated infected group had reduced intracellular NO and ROS levels and increased GSH levels.The qPCR results showed that the expression of IL-6,IL-1β,and iNOS was decreased,and the expression of HO-1,Txnrd1,and Glut1 was increased in DHB4-in-fected Raw264.7 cells after EbSe treatment.Cytoskel-etal staining showed that the morphology of the EbSe-treated infected cells was similar to that of oxPAPC-in-duced cells.Western blot results showed the expres-sion of Txnrd1 protein in EbSe-treated infected cells in-creased.Conclusion EbSe exerts anti-E.coli acute infection effect by regulating macrophage polarization and inhibiting macrophage excessive inflammatory state.

Objective To analyze the expression,biological functions,and potential molecular regulatory mechanisms of synaptojanin-2 binding protein(SYNJ2BP)in epithelial ovarian cancer.Methods Clinical specimens from 73 patients treated at Rugao People's Hospital and Affiliated Hospital of Nantong University between September 2018 and September 2022 were collected,including 53 epithelial ovarian cancer tissues and 20 normal ovarian tissues.A retrospective analysis was performed to examine SYNJ2BP gene and protein ex-pression and its correlation with clinicopathological features.The effects of SYNJ2BP overexpression on pro-liferation,apoptosis,migration,and invasion abilities of epithelial ovarian cancer A2780 cells were assessed via CCK-8 assays,colony formation assays,cell cycle analysis,apoptosis assays,Transwell migration assays,and wound healing assays.Western blot was used to detect the impact of SYNJ2BP overexpression on ERK1/2 protein phosphorylation and c-Myc protein expression in A2780 cells.Results The expression of SYNJ2BP was significantly downregulated in epithelial ovarian cancer tissues,and its expression level was significantly correlated with FIGO stage,tumor grade,and histological type(P<0.05),but not with other clinicopatholog-ical features.CCK-8 and colony formation assays demonstrated that the proliferation level of A2780 cells in the pcDNA3.1-SYNJ2BP group was significantly lower than that in the pcDNA3.1-NC group(P<0.01).Flow cytometry with PI single staining revealed altered cell cycle distribution in A2780 cells of the pcDNA3.1-SYNJ2BP group,with cells arrested in the S phase and a significantly increased apoptosis ratio compared to the pcDNA3.1-NC group(P<0.05).Transwell assays showed that the number of A2780 cells invading through the artificial matrix membrane in the pcDNA3.1-SYNJ2BP group was approximately half that in the pcD-NA3.1-NC group(P<0.01).Western blot results indicated downregulated expression of ERK1/2 and c-Myc in A2780 cells of the pcDNA3.1-SYNJ2BP group compared to the pcDNA3.1-NC group.In nude mouse tumors of the pcDNA3.1-SYNJ2BP group,compared to the pcDNA3.1-NC group,SYNJ2BP expression was upregulated while ERK1/2 and c-Myc expression was downregulated,consistent with the cellular-level expres-sion results.Conclusion Low expression of SYNJ2BP is observed in epithelial ovarian cancer tissues,and overexpression of SYNJ2BP inhibits the proliferation and invasion abilities of epithelial ovarian cancer cells.This suggests that SYNJ2BP may serve as a potential tumor suppressor in epithelial ovarian cancer and could be considered as a prognostic typing marker or potential therapeutic target for ovarian cancer.

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

OBJECTIVE To investigate the current status of prevalence of hand eczema(HE)among the health care workers,explore the influencing factors and analyze the association with hand hygiene.METHODS A questionnaire survey was conducted for the health care workers.The health care workers who had HE were followed up by the dermatology department and were completed the assessment of severity.Logistic regression analysis was per-formed for the influencing factors.RESULTS The questionnaires were distributed to the health care workers of Shanghai First Peoples Hospital in Jul.2024,and 659 valid questionnaires were recycled.The prevalence rate of HE by self-report was 37.03％in recent almost one year.The finger and dorsal hand were the predilection sites of skin damage,with the symptom dominated by itching;dryness,desquamation and vesicles were the primary man-ifestations of skin damage,most of which(64.81％)were moderate.Wearing gloves in work environment and contact with hand sanitizer and disinfectants could make the HE symptoms ever more severe.The use of hand san-itizer/frequent hand washing with soap lye and prolonged glove-wearing were the leading causes of HE.The nurses were dominant among the health care workers with HE(P=0.003),and the proportion of those with allergic his-tory was even higher(P＜0.001).As for the health care workers who washed hands for surgeries,high volume of daily surgical procedures(OR=1.325,95％CI:1.121 to 1.567)and glove-wearing duration more than 120 min(OR=3.177,95％CI:1.087 to 9.281)were the risk factors for HE.As for the common hand-washing health care workers,daily hand washing more than 15 times(OR=3.199,95％CI:1.014 to 10.137),glove-wearing dura-tion more than 120 min(OR=2.216,95％CI:1.117 to 4.391)and use of powdered latex glove(OR=1.591,95％CI:1.058 to 2.390)were the risk factors for HE.CONCLUSION The prevalence rate of HE is high among the health care workers.It is necessary to attach great importance to the hand skin health of the health care work-ers and take comprehensive intervention measures for prevention of HE such as optimization of hand hygiene pro-cedure,enhancement of barrier protection and stress on occupational health education so as to achieve the dual goals of infection control and skin health.