Objective To explore the effects of miR-373 and Janus kinase 2/signal transducer and activator of transcription 6 (JAK2/STAT6) signaling pathways on the M2 polarization of tumor associated macrophages (TAM) in rectal cancer. Methods THP-1 cells were induced into M0/M1/M2 macrophages, M0 macrophages were cocultured with Caco-2 cells to obtain TAM, Flow cytometry was used to detect the expression of CD86 and CD206, Real-time quantitative qPCR and Western blot were used to detect miR-373, inducible nitric oxide synthase (iNOS), toll-like receptor 4 (TLR-4), interleukin 1β (IL-1β), tumor necrosis factor α (TNF-α), arginase 1 (Arg1), chitinase 3-like 1 (Ym1), resistin like α (Fizz1), IL-10 mRNA and protein levels. TAM were transfected and divided into overexpressing miR-373 group (miR-373-TAM) and control group (miR-NC-TAM), overexpressing miR-373+JAK2-TAM group (miR-373 combined with JAK2-TAM) and control group (miR-373 combined with NC-TAM), and then cocultured with Caco-2 cells. Flow cytometry was used to detect the expression of CD206 in TAM; Real-time quantitative PCR and Western blot were used to detect miR-373, Arg1, Ym1, Fizz1, IL-10, JAK2, STAT6 mRNA and protein levels in TAM; CCK-8 assay, colony formation assay, and Transwell assay were used to detect the proliferation, migration, and invasion ability of Caco-2 cells. Thirty nude mice were randomly divided into Caco-2 cells group, Caco-2 cells combined with miR-NC-TAM group, and Caco-2 cells combined with miR-373-TAM group, with 10 mice in each group. Rats in each group were subcutaneously injected with pure Caco-2 cells, Caco-2 cells combined with TAM, and Caco-2 cells combined with TAM overexpressing miR-373. After 4 weeks of cell inoculation, immunofluorescence staining was used to detect F4/80⁺CD206⁺cells level in tumor tissue; Real-time quantitative PCR and Western blot were used to detect miR-373, JAK2, STAT6, Arg1, Ym1, Fizz1, IL-10 mRNA and protein levels in tumor tissues. Results TAM tended to M2 polarization. After overexpression of miR-373, miR-373 level in TAM was increased, while Arg1, Ym1, Fizz1, IL-10, JAK2, STAT6 mRNA and protein levels were decreased, proliferation, migration, invasion ability of Caco-2 cells were decreased; Overexpression of JAK2 could partially reverse the effect of overexpression of miR-373 on the M2 polarization of TAM and proliferation, migration, invasion ability of Caco-2 cells. TAM could promote tumor growth; Overexpression of miR-373 could inhibit tumor growth and inhibit M2 polarization of TAM. Conclusion miR-373 could inhibit M2 polarization of TAM in rectal cancer, and miR-373 might inhibit proliferation and metastasis of rectal cancer cells by regulating the JAK2/STAT6 pathway.
MicroRNAs/metabolism* ; Humans ; STAT6 Transcription Factor/genetics* ; Signal Transduction/genetics* ; Animals ; Janus Kinase 2/genetics* ; Mice ; Tumor-Associated Macrophages/metabolism* ; Rectal Neoplasms/pathology* ; Caco-2 Cells ; Mice, Nude ; THP-1 Cells ; Mice, Inbred BALB C ; Cell Polarity ; Male

BACKGROUND: The mechanisms distinguishing metabolically healthy from unhealthy phenotypes within the same BMI categories remain unclear. This study aimed to investigate the associations between regional fat distribution and metabolically unhealthy phenotypes in Chinese adults across different BMI categories. METHODS: This cross-sectional study involving 11833 Chinese adults aged 20 years and older. Covariance analysis, adjusted for age, compared the percentage of regional fat (trunk, leg, or arm fat divided by whole-body fat) between metabolically healthy and unhealthy participants. Trends in regional fat percentage with the number of metabolic abnormalities were assessed by the Jonckheere-Terpstra test. Odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated by logistic regression models. All analyses were performed separately by sex. RESULTS: In non-obese individuals, metabolically unhealthy participants exhibited higher percent trunk fat and lower percent leg fat compared to healthy participants. Additionally, percent trunk fat increased and percent leg fat decreased with the number of metabolic abnormalities. After adjustment for demographic and lifestyle factors, as well as BMI, higher percent trunk fat was associated with increased odds of being metabolically unhealthy [highest vs. lowest quartile: ORs (95%CI) of 1.64 (1.35, 2.00) for men and 2.00 (1.63, 2.46) for women]. Conversely, compared with the lowest quartile, the ORs (95%CI) of metabolically unhealthy phenotype in the highest quartile for percent arm and leg fat were 0.64 (0.53, 0.78) and 0.60 (0.49, 0.74) for men, and 0.72 (0.56, 0.93) and 0.46 (0.36, 0.59) for women, respectively. Significant interactions between BMI and percentage of trunk and leg fat were observed in both sexes, with stronger associations found in individuals with normal weight and overweight. CONCLUSIONS Trunk fat is associated with a higher risk of metabolically unhealthy phenotype, while leg and arm fat are protective factors. Regional fat distribution assessments are crucial for identifying metabolically unhealthy phenotypes, particularly in non-obese individuals.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Adipose Tissue ; Body Fat Distribution ; Body Mass Index ; China/epidemiology* ; Cross-Sectional Studies ; Health Surveys ; Phenotype

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective: To investigate the present situation of health education on school myopia prevention and control in primary and middle schools in Beijing, so as to provide scientific basis and suggestions for effective implementation of health education on school myopia prevention and control. Methods: From November 6-17, 2023, a total of 551 school doctors and health care teachers from public primary and secondary schools in seven districts of Beijing were investigated by using stratified random cluster sampling method. The contents included basic information, the basic situation of school health work, and the status of myopia prevention and control in schools. The data was described by frequency and proportion. Chisquare test was used to analyze the influencing factors. Results: A total of 89.8% of the respondents were found in the school of offering health education courses about myopia prevention and control. Among these respondents, 54.5% were equipped with health education course material of professional myopia prevention and control, and the teachers were primarily class teachers (57.6%), health care teachers (45.5%), and physical education teachers (45.1%), and most of the classes were conducted once a month (33.7%) and once a semester (28.1%). A total of 95.6% of the subjects had health education activities about myopia prevention and control at their schools. The frequency of activities was once a month (38.5%) and once a semester (27.9%). There were statistically significant differences of the report rate in setting up health education courses on myopia prevention and control, and the frequency of activities in different areas and different types of schools (χ2=19.53, 13.15, 34.30, 20.32, P<0.05). Conclusions Health education on school myopia prevention and control in primary and middle schools in Beijing is supportive. But health education courses taught by professional teachers should pay attention to the norms of the course material to complete a certain amount of class time, and development of health education activities should be diversified, so as to effectively implement health education of myopia prevention and control at school.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.