Background Depressive moods among occupational population are prevalent, which seriously affect their mental-physical health and socioeconomic productivity. This has become an urgent public health concern. Objective To understand current situation of depressive mood among an occupational population aged 18 to 60 covering 120 cities of China, and to explore the relationship between work-family conflict and depressive mood as well as the role of life stress in the relationship, as to provide a scientific basis for developing measures to reduce depressive mood in the occupational population. Methods Using the data of the Psychology and Behavior Investigation of Chinese Residents in 2021, an occupational population aged 18 to 60 years was selected as study subjects. A total of 3785 subjects were included in the study. The Work-Family Conflict Scale, Subjective Life Stress Scale, and Patient Health Questionnaire-Depression Scale were used to assess the work-family conflict, life stress, and depressive mood of the subjects. Harman's single-factor method was used to evaluate common method bias in the survey data. One-way ANOVA was applied to test the difference in work-family conflict, life stress, and depressive mood among occupational population by demographic characteristics, and chi-square test was used to analyze the difference in reporting depressive mood. Partial correlation analysis was used to evaluate the correlation between selected variables. Process plug-in was used to test potential mediating effect of life stress on work-family conflict and depressive emotion. Results The scores of work-family conflict, life stress, and depressive mood among the occupational population were 24.60±8.28, 9.28±3.78, and 5.43±5.30, respectively. The prevalence rates of depressive mood was 48.7% (1888/3875). The score of depressive mood among occupational population who never smoked was significantly higher than that of those who smoked (P<0.01). The partial correlation analysis showed that work-family conflict and life stress were positively correlated with depressive mood (r=0.472 and 0.447, P<0.001); work-family conflict was positively correlated with life stress (r=0.361, P<0.001). The mediation analysis results showed that work-family conflict positively associated with life stress (b=0.361, P<0.001); life stress positively associated with depressive mood (b=0.318, P<0.001); work-family conflict positively associated with depressive mood (b=0.357, P<0.001), and played a partial mediating role in the relationship between work-family conflict and depressive mood with an effect size of 0.115 (95%CI: 0.099, 0.130) that accounted for 24.36% of the total effect. Conclusion Work-family conflict may not only directly affect depressive mood among occupational population, but also indirectly affect depressive mood through a mediating effect of life stress.

BACKGROUND: Several studies have demonstrated the occurrence of secondary tumors as a rare but significant complication of chimeric antigen receptor T (CAR-T) cell therapy, underscoring the need for a detailed investigation. Given the limited variety of secondary tumor types reported to date, a comprehensive characterization of the various secondary tumors arising after CAR-T therapy is essential to understand the associated risks and to define the role of the immune microenvironment in malignant transformation. This study aims to characterize the immune microenvironment of a newly identified secondary tumor post-CAR-T therapy, to clarify its pathogenesis and potential therapeutic targets. METHODS: In this study, the bone marrow (BM) samples were collected by aspiration from the primary and secondary tumors before and after CD19 CAR-T treatment. The CD45 + BM cells were enriched with human CD45 microbeads. The CD45 + cells were then sent for 10× genomics single-cell RNA sequencing (scRNA-seq) to identify cell populations. The Cell Ranger pipeline and CellChat were used for detailed analysis. RESULTS: In this study, a rare type of secondary chronic myelomonocytic leukemia (CMML) were reported in a patient with diffuse large B-cell lymphoma (DLBCL) who had previously received CD19 CAR-T therapy. The scRNA-seq analysis revealed increased inflammatory cytokines, chemokines, and an immunosuppressive state of monocytes/macrophages, which may impair cytotoxic activity in both T and natural killer (NK) cells in secondary CMML before treatment. In contrast, their cytotoxicity was restored in secondary CMML after treatment. CONCLUSIONS This finding delineates a previously unrecognized type of secondary tumor, CMML, after CAR-T therapy and provide a framework for defining the immune microenvironment of secondary tumor occurrence after CAR-T therapy. In addition, the results provide a rationale for targeting macrophages to improve treatment strategies for CMML treatment.
Humans ; Lymphoma, Large B-Cell, Diffuse/therapy* ; Tumor Microenvironment/genetics* ; Antigens, CD19/metabolism* ; Leukemia, Myelomonocytic, Chronic/genetics* ; Immunotherapy, Adoptive/adverse effects* ; Male ; Single-Cell Analysis/methods* ; Female ; Sequence Analysis, RNA/methods* ; Receptors, Chimeric Antigen ; Middle Aged

Enamel demineralization, the formation of white spot lesions, is a common issue in clinical orthodontic treatment. The appearance of white spot lesions not only affects the texture and health of dental hard tissues but also impacts the health and aesthetics of teeth after orthodontic treatment. The prevention, diagnosis, and treatment of white spot lesions that occur throughout the orthodontic treatment process involve multiple dental specialties. This expert consensus will focus on providing guiding opinions on the management and prevention of white spot lesions during orthodontic treatment, advocating for proactive prevention, early detection, timely treatment, scientific follow-up, and multidisciplinary management of white spot lesions throughout the orthodontic process, thereby maintaining the dental health of patients during orthodontic treatment.
Humans ; Consensus ; Dental Caries/etiology* ; Dental Enamel/pathology* ; Tooth Demineralization/etiology* ; Tooth Remineralization

Environmental Microbiology, as a compulsory foundational course for the major of environmental and ecological engineering. Its knowledge system not only lays a profound theoretical foundation but also evinces a close-knit nexus to practical applications in environmental protection and ecological restoration. This course thus serves as an outstanding platform facilitating both teaching reforms and practical innovations of professional courses. With Environmental Microbiology as a paradigmatic illustration, this paper concentrates on addressing issues like archaic course contents and enervating teaching approaches, with the aspiration of augmenting students' professional acuities, practical dexterities, and innovation and entrepreneurial aptitudes. In light of the aforesaid aim, we initiated an all-encompassing probe into the teaching reform and practicable paradigms from the perspective of amalgamating professional education with innovation-steered stratagems. Across multiple fronts, comprehensive reformative undertakings were implemented, subsuming the optimization and reconfiguration of course contents, the exploration of sundry teaching methodologies, and the scientific erection of an evaluation system. Ultimately, a nascent teaching model dubbed "three-dimensional, six-loop and five-collaborative" was formed. This series of comprehensive and innovative reform measures has not only substantially augmented the profundity and extensiveness of professional knowledge, permeating into the core of disciplinary essence, but also remarkably bolstered students' practical operational capabilities and innovative thinking patterns, thereby catalyzing their transformation into well-rounded individuals with a competitive edge. By virtue of these efforts, a solid foundation has been firmly laid for the teaching reform of Environmental Microbiology and the cultivation of high-caliber environmental professionals in the contemporary era, heralding a new chapter in the development of environmental education.
Environmental Microbiology ; Teaching ; Education, Professional/methods* ; Curriculum

Background Psychological disturbances such as work-family conflict and depressive mood are prevalent among occupational groups and are closely related to eating behavior. Therefore, investigating the influencing factors of eating behavior is of great significance for promoting the health behaviors of occupational populations. Objective To clarify the current situation of eating behavior among the occupational populations aged 18 to 60 years in China, and to explore the relationship between work-family conflict, depressive mood, and eating behavior, and to test the mediating role of depressive mood in the relationship. Methods The study used a data set containing occupational populations aged 18 to 60 years extracted from the 2021 Psychology and Behavior Investigation of Chinese Residents. The Work-Family Conflict Scale, the Chinese version of the Sakata Eating Behavior Scale Short Form, and the Patient Health Questionnaire-Depression Scale were used. Potential influencing factors of eating behavior of the occupational populations were evaluated by multiple linear regression. Structural equation modeling was used to analyze the relationships between work-family conflict, depressive mood, and eating behavior, and the Bootstrap method was used to test the mediating effect of depressive mood on the relationship of work-family conflict and eating behavior. Results Among the occupational populations, the proportion of reporting high work-family conflict was 48.4%, and the proportion of reporting mild depression and above was 48.7%. The total score of eating behavior was (16.16±4.64), and the proportion of high abnormal eating behavior tendency was 39.1%. There were significant differences in eating behavior score among different age, educational level, marital status, number of offspring, occupation, smoking, and drinking groups (P<0.05). The partial correlation analysis showed that work-family conflict and depressive mood were positively correlated with abnormal eating behavior (r=0.367, 0.386, P<0.001); work-family conflict was positively correlated with depressive mood (r=0.466, P<0.001). The results of the multiple linear regression showed that depressive mood, work-family conflict, age, smoking, drinking, and education level were associated with eating behavior (P<0.05). The structural equation modeling indicated that work-family conflict positively associated with depressive mood (b=0.529, P<0.001), depressive mood positively associated with abnormal eating behavior (b=0.292, P<0.001), and work-family conflict positively associated with abnormal eating behavior (b=0.270, P<0.001). Depressive mood played a partial mediating role in the relationship between work-family conflict and eating behavior, and the effect value was 0.154 (95%CI: 0.132, 0.179) that accounted for 36.32% of the total effect. Conclusion Work-family conflict could directly affect the eating behavior among occupational populations, and also indirectly affect eating behavior through a mediating effect of depressive mood. Therefore, optimizing the allocation of tasks between work and family, providing psychological support in need, alleviating work-family conflict and depressive mood may improve the eating behavior and mental health of working populations.

Objective To establish and validate the diagnostic model of ferroptosis genes for acute myocardial infarction (AMI) based on bioinformatics. Methods Five AMI gene expression data were obtained from Gene Expression Omnibus (GEO), namely GSE66360, GSE48060, GSE60993, GSE83500, GSE34198. Among them, GSE66360 was used as the training set to perform differential analysis, and intersection of differential genes and ferroptosis genes was taken to obtain differentially expressed ferroptosis genes in AMI. GO and KEGG enrichment analyses were performed using Metascape website. Subsequently, random forest (RF) algorithm was used to screen out key genes with high classification performance according to the Keeny coefficient score, and artificial neural network (ANN) diagnostic model of AMI ferroptosis feature gene was constructed by model group GSE83500. The area under the receiver operating characteristic curve (AUC) of 10-fold cross-validation was used to evaluate the performance and generalization ability of the model, and 3 external independent datasets were used to verify the diagnostic performance of this model. The single sample gene set enrichment analysis was used to explore the difference in immune cell infiltration between infarcted myocardium and normal myocardium after AMI. In addition, correlation analysis between immune cells and key genes was also conducted. Finally, potential drugs that would prevent and treat AMI by regulating ferroptosis were screened out from the Coremin Medical platform. Results A total of 16 differentially expressed ferroptosis genes were obtained in the training set, GO enrichment analysis showed that they mainly participated in biological functions such as cellular response to biological stimuli and chemical stress, and regulation of interleukin 17. KEGG enrichment analysis showed that these genes were significantly enriched in NOD-like receptor signaling pathway, programmed cell necrosis, Leishmaniasis and other pathways. Four genes with good classification performance were screened out using RF algorithm, namely EPAS1, SLC7A5, FTH1, and ZFP36. The results of 10-fold cross-validation showed that the minimum AUC value was 0.746, the maximum value was 0.906, and the average value was 0.805. The AUC of the ANN model was 0.859, and the AUC values of the three independent validation sets were 0.763 (GSE48060), 0.673 (GSE60993), 0.698 (GSE34198). Immune cell infiltration found that macrophages, mast cells and monocytes were significantly active after AMI. Correlation analysis found that there were positive correlations between 4 key genes and activated dendritic cells, eosinophils and γδT cells. A total of 20 potential western medicines were predicted which could prevent and treat AMI by regulating ferroptosis, and the predicted potential Chinese medicine was mainly heat-clearing and detoxifying and blood-activating and removing blood stasis drugs. Conclusion The identified AMI ferroptosis genes by bioinformatics method have certain diagnostic significance, which provides a reference for disease diagnosis and treatment.

A retrospective analysis was conducted on three patients with primary myelofibrosis who underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT) at Shanghai Zhaxin Traditional Chinese and Western Medicine Hospital from 2020 to 2023. They subsequently developed poor graft function. The patients received selected donor CD34 + cell boosts as salvage therapy. There were two male patients and one female patient, with a median age of 68 (39-69) years. The median time from allo-HSCT to the selected donor CD34 + cell boost was 83 (56-154) days. The median infusion of selected donor CD34 + cells was 7.67 (7.61-9.06) ×10 6/kg, with a CD34 + cell purity of 97.76% (96.50%-97.91%) and a recovery rate of 70% (42%-75%) . Hematological recovery was achieved in two cases. No acute GVHD was observed in any of the three patients. One case of moderate oral chronic GVHD was noted. Selected donor CD34 + cell boosts for the treatment of poor graft function after allo-HSCT in primary myelofibrosis was effective and no severe acute or chronic GVHD was observed.

Objective To investigate the predictive value of the expression levels of YY1 transcription fac-tor(YY1)and microRNA(miR)-181a-5p in peripheral blood mononuclear cell for adverse pregnancy out-comes in gestational diabetes mellitus(GDM).Methods A total of 200 patients with GDM were enrolled as the GDM group.100 healthy pregnant women who underwent prenatal examinations during the same period were selected as the control group.The expressions levels of YY1 and miR-181a-5p in peripheral blood mono-nuclear cell were detected by fluorescent quantitative PCR.Receiver operating characteristic(ROC)curve was drawn to analyze the predictive value of YY1 and miR-181a-5p for adverse pregnancy outcomes in GDM pa-tients.Results Compared with the control group,the expression levels of YY1 and miR-181a-5p in peripheral blood mononuclear cell of GDM group were obviously decreased(P＜0.05),and the incidence rates of post-partum hemorrhage,macrosomia and neonatal hypoglycemia in GDM group were obviously higher(P＜0.05).Multivariate Logistic regression analysis showed that age and poor blood glucose control were inde-pendent risk factors for adverse pregnancy outcomes in GDM patients(P＜0.05),and the expression levels of peripheral blood mononuclear cell YY1 and miR-181a-5p were independent protective factors for adverse preg-nancy outcomes in GDM patients(P＜0.05).ROC curve results showed that the area under the curve(AUC)of the expression levels of YY1 and miR-181a-5p in peripheral blood alone and in combination in predicting ad-verse pregnancy outcomes in GDM patients was 0.717,0.751 and 0.832,respectively,and the AUC of their combination was obviously higher than that of the two alone(P＜0.05).Conclusion The decreased expres-sion levels of YY1 and miR-181a-5p in peripheral blood mononuclear cell of GDM patients could increase the risk of adverse pregnancy outcomes,YY1 and miR-181a-5p are closely related to adverse pregnancy outcomes in GDM patients,and both could be used as predictors of adverse pregnancy outcomes in GDM patients.

OBJECTIVE To develop a population pharmacokinetic （PPK） model for mycophenolate mofetil active metabolite mycophenolic acid （MPA） in children with primary IgA nephropathy， explore the factors affecting the pharmacokinetic parameters of MPA， and provide a basis for clinical individualized therapy. METHODS Retrospective collection was conducted on 636 concentrations and clinical data from 47 pediatric patients with primary IgA nephropathy. PPK analysis was carried out by using the nonlinear mixed-effects model； the covariates were tested with a stepwise method. Goodness-of-fit plots， Bootstrap and visual predictive check were employed to evaluate the final model. RESULTS The pharmacokinetics of MPA in children with IgA nephropathy in vivo conformed to the first-order absorption and elimination two-compartment model （objective function value of 3 276.31）. Covariate analysis suggested that body weight and albumin （ALB） levels were significant influencing factors on apparent clearance rate and apparent distribution volume. The typical values of PPK parameters of MPA in the final model were as follows： the central room had a distributed volume of 5.79 L， the clearance rate was 4.06 L/h， the volume of peripheral ventricular distribution was 430.93 L， the clearance rate between compartments was 15.40 L/h， the oral absorption rate constant was 1.29 h－1. After verification， most of the predicted corrected observed concentration points were within the 90% confidence interval of the predicted corrected simulated concentration， indicating that the MPA final model had good predictive performance. CONCLUSIONS The PPK model of MPA in children with primary IgA nephropathy is established in this study， identifying body weight and ALB levels are significant factors affecting MPA metabolism.

Objective To establish a scientific training program that takes into account both anaerobic and aerobic training for pilots,and to explore the appropriate ratio of aerobic and anaerobic training.Methods According to the physical examination standards for pilots,a total of 16 healthy subjects aged 18-24 were selected from two batches.The two batches of subjects were trained with different aerobic and anaerobic ratios.Training period was 3 months.The changes in cardiopulmonary function of the subjects before and after training were evaluated using the cardiopulmonary function exercise testing system(CPET),and the changes in anaerobic capacity were evaluated using changes in strength as an indicator.Results After training,the weight load of the subjects in the two training programs,including barbell squats,leg flexion and hard pull,and barbell under 10RM and 3RM,was significantly increased(P<0.001),and there was no statistically significant difference in anaerobic strength growth between the two groups.The results of CPET showed that the maximum load,maximum heart rate,and respiratory quotient in the two groups were significantly increased after than before the training(P<0.01).The maximum load(Experiment group 1:29.12±19.69,Experiment group 2:72.00±46.24)and respiratory quotient(Experiment grouop 1:0.11±0.09,Experiment group 2:0.28±0.16)of the subjects in experiment group 2 before and after training were greater than those in experiment group 1.The difference was statistically significant(P<0.05).Conclusion The anaerobic and aerobic capacities of the subjects in the experiment group 2 are effectively improved,indicating that ratio of aerobic and anaerobic of the training scheme is better.