Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of 2243 frontline workers from cable and shipbuilding enterprises were selected as study subjects to investigate the incidence of non-fatal occupational injuries and collect information at four levels: individual, equipment, management, and environment in past 12 months. Data balancing was performed using resampling, and LASSO regression was used to select factors of non-fatal occupational injuries. The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. The area under the receiver operating characteristic (ROC)curve (AUC) was used to test the performance of the model, with an AUC value > 0.7 indicating good model performance. Results Among the 2243 frontline workers, males accounted for 77.7% (1742 out of 2243), with the main age range being 40-49 years old, representing 29.5% (661 out of 2243), 82.7% of the workers (1854 out of 2243) were married, and 55.6% (1248 out of 2243) had a junior middle school education level. The average monthly income for 51.0% (1144 out of 2243) of the workers was between 5000 and 6999 Chinese Yuan. The incidence of non-fatal occupational injuries among the manufacturing workers was 8.4% (189/2243) in the past 12 months. Among the 22 factors associated with the occurrence of non-fatal occupational injuries (P<0.05), 10 were individual-level factors, including gender, smoking, alcohol consumption, colleague relationships, average exercise duration, job burnout, work fatigue, musculoskeletal disorders, cardiovascular diseases, and neurological and sensory organ diseases; 3 were equipment-level factors, including equipment operability, hazardous workpieces, and safety hazards; 5 were environmental-level factors, including low temperatures, special operations, noise, workspace size, and dirty and disorderly environment; and 4 were management-level factors, including daily working hours, weekly working days, overtime, and pre-job technical training. The AUC value of the LASSO regression model was 0.704 and the final model retained a total of 10 variables. Among them, there were 7 risk factors for non-fatal occupational injuries (coefficient > 0), including safety hazards, musculoskeletal disorders, dangerous workpieces, job burnout, dirty and disorderly environment, smoking, and male gender; and 3 protective factors (coefficient < 0), including pre-job technical training, good colleague relationship, and long working days per week. Conclusion Manufacturing enterprises need to focus on the incidence of non-fatal occupational injuries and conduct targeted interventions for non-fatal occupational injuries by controlling potential safety hazards, providing pre-job technical training, reducing dangerous workpieces, rectifying working environment, and reasonably arranging working hours.

Objective To explore the association of diabetes status with the development of tuberculosis (TB) among the community population in Shanghai, and to provide evidence for the formulation of tuberculosis prevention and control strategies. Methods This population-based cohort study was based on Shanghai Suburban Adult Cohort and Biobank (SSACB) in China. The baseline data were acquired by questionnaires, physical examinations and blood biochemistry tests. TB incidence was obtained by matching with TB management information system data. A Cox proportional risk model was established to assess the risk of tuberculosis. Results A total of 36 014 research subjects were included, with an average age of 56.3±11.3 years, of which 14 587 (40.5%) were male. Over 6 years of follow-up, 47 individuals progressed to tuberculosis (incidence rate: 19.8 per 100 000 person-year, 95% CI: 14.6 -26.4). An increased risk of TB was observed in participants with newly diagnosed diabetes compared with those without diabetes (adjusted hazard ratio [aHR], 2.73; 95% CI, 1.19 - 6.28). Conclusion The risk of tuberculosis in newly diagnosed diabetic patients is significantly increased, and strengthening tuberculosis screening for this population should be considered in practical work.

Objective To study the spatial distribution of the incidence of pulmonary tuberculosis in Hubei Province and its influencing factors, so as to improve the theoretical basis for scientific development of tuberculosis prevention and control measures in the future. Methods The data of reported incidence of tuberculosis and related influencing factors in various counties and districts of Hubei Province in 2020 were collected. Global Moran's I index, hotspot analysis and geographically weighted regression (GWR) model analysis were used to calculate the spatial autocorrelation of the incidence of tuberculosis, and to analyze the influencing factors affecting the incidence rate of tuberculosis. Results There were obvious regional differences in the space distribution of the incidence rate of tuberculosis. Hot spot analysis showed positive spatial correlation and obvious clustering. The GWR model (AICc=784.251) in this study had higher AICc value compared to the ordinary least squares regression (OLS) model (AICc=804.2585). The GWR model showed that the increase in the proportion of the population aged 65 and above and the proportion of the ethnic minority population had a significant promoting effect on the increase of the incidence rate of tuberculosis, and there was significant spatial heterogeneity. The effect of PM_2.5 concentration on the incidence rate of pulmonary tuberculosis varied in different regions, and the degree of effect was also different. Conclusion The proportion of people aged 65 and above and the proportion of ethnic minorities may significantly influence the incidence of pulmonary tuberculosis. The effect of PM_2.5 concentration varies in different regions, so targeted measures should be formulated according to the situation in different regions.

BACKGROUND: Gluconeogenesis is a critical metabolic pathway for maintaining glucose homeostasis, and its dysregulation can lead to glycometabolic disorders. This study aimed to identify hub biomarkers of these disorders to provide a theoretical foundation for enhancing diagnosis and treatment. METHODS: Gene expression profiles from liver tissues of three well-characterized gluconeogenesis mouse models were analyzed to identify commonly differentially expressed genes (DEGs). Weighted gene co-expression network analysis (WGCNA), machine learning techniques, and diagnostic tests on transcriptome data from publicly available datasets of type 2 diabetes mellitus (T2DM) patients were employed to assess the clinical relevance of these DEGs. Subsequently, we identified hub biomarkers associated with gluconeogenesis-related glycometabolic disorders, investigated potential correlations with immune cell types, and validated expression using quantitative polymerase chain reaction in the mouse models. RESULTS: Only a few common DEGs were observed in gluconeogenesis-related glycometabolic disorders across different contributing factors. However, these DEGs were consistently associated with cytokine regulation and oxidative stress (OS). Enrichment analysis highlighted significant alterations in terms related to cytokines and OS. Importantly, osteomodulin ( OMD ), apolipoprotein A4 ( APOA4 ), and insulin like growth factor binding protein 6 ( IGFBP6 ) were identified with potential clinical significance in T2DM patients. These genes demonstrated robust diagnostic performance in T2DM cohorts and were positively correlated with resting dendritic cells. CONCLUSIONS Gluconeogenesis-related glycometabolic disorders exhibit considerable heterogeneity, yet changes in cytokine regulation and OS are universally present. OMD , APOA4 , and IGFBP6  may serve as hub biomarkers for gluconeogenesis-related glycometabolic disorders.
Machine Learning ; Humans ; Computational Biology/methods* ; Biomarkers/metabolism* ; Diabetes Mellitus, Type 2/genetics* ; Animals ; Mice ; Gluconeogenesis/physiology* ; Gene Expression Profiling ; Transcriptome/genetics* ; Gene Regulatory Networks/genetics* ; Clinical Relevance

[This corrects the article DOI: 10.1016/j.apsb.2022.03.002.].

OBJECTIVES: To explore the therapeutic mechanism of compound Centella asiatica formula (CCA) for alleviating Schistosoma japonicum (Sj)-induced liver fibrosis in mice. METHODS: The active components and targets of CCA were identified using the TCMSP database with cross-analysis of Sj-related liver fibrosis targets. A "drug-component-target-pathway-disease" network was constructed using Cytoscape 3.9.1. Functional enrichment analysis (GO/KEGG) was performed using DAVID. Molecular docking study was carried out to validate interactions between the core targets and the key compounds. For experimental validation of the results, 36 mice were divided into control group, Sj-infected model group, and CCA-treated groups. In the latter two groups, liver fibrosis was induced via abdominal infection with Sj cercariae for 8 weeks, followed by 8 weeks of daily treatment with CCA decoction or saline. Hepatic pathology of the mice was assessedwith HE and Masson staining, and hepatic expressions of collagen-I and collagen-III were detected using immunohistochemistry; serum IL-6 and TNF-α levels were determined with ELISA. Hepatic expressions of TLR4 and MyD88 proteins were analyzed with Western blotting. RESULTS: We identified a total of 107 bioactive CCA components and 791 targets, including 37 intersection targets linked to Sj-induced fibrosis. The core targets included TNF, TP53, JUN, MMP9, and CXCL8, involving the IL-17 signaling, lipid metabolism, TLR4/MyD88 axis, and cancer pathways. Molecular docking study confirmed strong binding affinity between quercetin (a primary CCA component) and TNF/TP53/JUN/MMP9. In Sj-infected mouse models, CCA treatment significantly attenuated hepatic inflammatory cell infiltration, reduced collagen-I and collagen-III deposition, improved tissue architecture, reduced serum IL-6 and TNF-α levels, and downregulated TLR4 and MyD88 expressions in the liver. CONCLUSIONS CCA mitigates Sj-induced liver fibrosis by targeting TNF, TP53, JUN, and MMP9 to modulate the TLR4/MyD88 pathway, thereby suppressing pro-inflammatory cytokine release, inhibiting hepatic stellate cell activation, reducing collagen deposition, and preventing granuloma formation in the liver.
Animals ; Toll-Like Receptor 4/metabolism* ; Mice ; Myeloid Differentiation Factor 88/metabolism* ; Schistosoma japonicum ; Liver Cirrhosis/parasitology* ; Schistosomiasis japonica ; Signal Transduction ; Molecular Docking Simulation ; Inflammation ; Centella/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Tumor Necrosis Factor-alpha/metabolism*

Persistent and maladaptive drug-related memories represent a key component in drug addiction. Converging evidence from both preclinical and clinical studies has demonstrated the potential efficacy of the memory reconsolidation updating procedure (MRUP), a non-pharmacological strategy intertwining two distinct memory processes: reconsolidation and extinction-alternatively termed "the memory retrieval-extinction procedure". This procedure presents a promising approach to attenuate, if not erase, entrenched drug memories and prevent relapse. The present review delineates the applications, molecular underpinnings, and operational boundaries of MRUP in the context of various forms of substance dependence. Furthermore, we critically examine the methodological limitations of MRUP, postulating potential refinement to optimize its therapeutic efficacy. In addition, we also look at the potential integration of MRUP and neurostimulation treatments in the domain of substance addiction. Overall, existing studies underscore the significant potential of MRUP, suggesting that interventions predicated on it could herald a promising avenue to enhance clinical outcomes in substance addiction therapy.
Humans ; Substance-Related Disorders/psychology* ; Memory Consolidation/physiology* ; Animals ; Extinction, Psychological/physiology*

Objective To investigate the difference of the disease progression in patients with chronic obstructive pulmonary disease (COPD) with different muscle mass levels and the influence of related factors on the disease progression. Methods A total of 308 newly diagnosed patients with COPD from February 2021 to February 2022 were selected for this study. All patients were below moderate COPD. The patients were divided into two groups according to their muscle mass levels: sarcopenia group (98 cases) and control group (210 cases). The diagnostic criteria for sarcopenia were based on sarcopenia diagnostic thresholds: RSMI <7.0kg/m² in men and <5.4kg/m² for women. All subjects were followed up for 4 months to observe the progress of the patient's condition. The correlation between the muscle mass level and pulmonary function level, as well as the results of 6-minute walking test and CAT score was evaluated, and the influence of muscle mass level on the patient's disease progress was analyzed. At the same time, the potential influence of related factors (body fat rate, vitamin D level, etc.) on the condition of patients with different muscle mass levels was discussed. SPSS 19.0 software was used to perform statistical analysis. Results Under the same treatment intervention, the baseline and follow-up lung function improvement levels of patients in the sarcopenia group were lower than those in the control group, and the difference was statistically significant (P<0.05). At the same time, the baseline and follow-up 6-minute walk test results of the patients in the sarcopenia group were also worse than those of the control group, and the difference was statistically significant (P<0.05). Further correlation analysis was carried out between the patient's muscle mass level and the post-treatment pulmonary function indicators and 6MWD test level. The results showed that the muscle mass level was positively correlated with several pulmonary function indicators (FEV1, FEV1% predict) and 6MWD (both P<0.05). Considering the possible influence of other factors on the control and progress of the patient's condition, the present study used follow-up CAT score results to distinguish the prognosis of the patient's condition improvement, and used improvement and non-improvement as dependent variables to analyze the influence of various potential influencing factors. The results of regression model analysis showed that lower baseline muscle mass, women, lower body fat percentage, and lower vitamin D level were the main risk factors. Conclusion Under the same treatment condition, COPD patients with different muscle mass levels improve more slowly when complicated with sarcopenia and have poor prognosis. Women, lower body fat percentage and lower vitamin D level are potential risk factors for poor prognosis.

Objective: To explore the prevalence of elevated blood pressure and overweight/obesity and their comorbidities among Tibetan middle school students in Lhasa, and to analyze their association with lifestyle and other factors, so as to provide a basis for the intervention measures targeting elevated blood pressure, overweight and obesity among middle school students in high altitude area. Methods: Using a stratified cluster random sampling method in September 2021, a total of 1 488 Tibetan junior and high students from Lhasa City were investigated with blood pressure measurement, physical examination and questionnaire survey. The influencing factors of elevated blood pressure, overweight and obesity and their comorbidities association were analyzed by multivariate Logistic regression. Results: The prevalence of elevated blood pressure, overweight/obesity and their comorbidities were 17.8%, 17.4% , 5.0% respectively. Multivariate Logistic regression analysis showed that age( OR =0.81), residence, body mass inex(BMI) and gender were the influencing factors of elevated blood pressure; and the risks of elevated blood pressure in female students were higher than male students ( OR =1.89), suburban students were higher than urban students ( OR =8.06), overweight and obesity groups were higher than normal groups ( OR =2.55, 2.87) ( P <0.05). Adjusting for confounding factors such as gender, residence and school, and BMI (only for elevated blood pressure), daily screen time ≥2 h was positively correlated with elevated blood pressure, overweight/obesity and its comorbidities ( OR =1.56, 1.59 , 2.51) ( P <0.05). Conclusions The prevalence of elevated blood pressure, overweight/obesity are relatively high in Lhasa. Longer screen time is a common factor affecting with elevated blood pressure, overweight/obesity and comorbidities among Tibetan students. Measures should be taken intervene in the lifestyle of Tibetan students, in order to reduce elevated blood pressure and overweight/obesity.

Objective To retrospectively analyze the prevention and control effect and epidemic characteristics of elderly tuberculosis in Hubei Province from 2016 to 2020, and to provide a scientific basis for the prevention and treatment of elderly tuberculosis in Hubei Province． Methods The data on tuberculosis patients aged 60 and above who registered their current address in Hubei Province from 2016 to 2020 were collected and analyzed. The registration rates and composition ratios were analyzed using χ² test and χ² test for trend. Results A total of 135 976 tuberculosis patients were reported in Hubei from 2016 to 2020. The annual average registration rate of elderly tuberculosis among the elderly registered residence population (referring to the registration rate of elderly registered residence population aged 60 and above as the denominator, and tuberculosis patients aged 60 and above as the numerator) was 263.51/100 000. The highest rate was 300.02/100,000 in 2017, and the lowest was 188.19/100,000 in 2020 (χ²=70,227.603, P<0.001). In terms of composition, the average annual proportion of tuberculosis patients in the 60-70 years old group was 59.60%, which decreased year by year (χ²_trend=40.448，P<0.001 ). The average annual proportion of males was 73.35%, which was significantly higher than that of females (26.65%). The average annual proportion of farmers was 62.03%. From the perspective of case management, the annual average proportion of major epidemic online reports was 85.17%. The classification of cases was mainly based on clinical diagnosis, accounting for 48.33% annually and showing a decreasing trend year by year (χ²_trend=740.911, P<0.001). The proportion of confirmed cases was 25.08%, which showed an increasing trend (χ²_trend=380.557, P<0.001). From 2016 to 2019, the delay rate of diagnosis and treatment of elder tuberculosis patients was 49.42% (67 876/135 967), and the delay rate decreased year by year (χ²_trend=323.764, P<0.001). Conclusion The elderly population with pulmonary tuberculosis in Hubei Province shows a downward trend. It is necessary to focus on the efforts of designated hospitals to proactively identify cases, increase the proportion of confirmed cases, maintain a high tracking in place, reduce medical delays, and ensure the effectiveness of tuberculosis prevention and treatment for the elderly.